<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.123975.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Differential gene expression during recall of behaviorally conditioned immune enhancement in rats: a pilot study</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Rueckels</surname>
                        <given-names>Markus</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-6775-0437</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Picard-Maureau</surname>
                        <given-names>Marcus</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Lisa-Kolk-Stiftung, Berg. Neukirchen, North Rhine Westphalia, 51381, Germany</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:markus.rueckels@gmail.com">markus.rueckels@gmail.com</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>30</day>
                <month>11</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>11</volume>
            <elocation-id>1405</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>22</day>
                    <month>9</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Rueckels M and Picard-Maureau M</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/11-1405/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Behaviorally conditioned immune functions are suggested to be regulated by bidirectional interactions between CNS and peripheral immune system 
                    <italic toggle="yes">via</italic> the hypothalamic-pituitary-adrenal (HPA) axis, sympathetic nervous system (SNS), and the parasympathetic nervous system (PNS). Since the current knowledge about biochemical pathways triggering conditioned immune enhancement is limited, the aim of this pilot study was gaining more insights into that.</p>
                <p>
                    <bold>Methods:</bold> Rats were conditioned with camphor smell and poly I:C injection, mimicking a viral infection. Following stimulus re-exposure, animals were sacrificed at different time points, and neural tissues along the HPA axis was analyzed with a rat genome array together with plasma protein using Luminex analysis.</p>
                <p>
                    <bold>Results:</bold> In the hypothalamus, we observed a strong upregulation of genes related to Wnt/&#x03b2;-catenin signaling (Otx2, Spp1, Fzd6, Zic1), monoaminergic transporter Slc18a2 and opioid-inhibitory G-protein Gpr88 as well as downregulation of dopaminergic receptors, vasoactive intestinal peptide Vip, and pro-melanin-concentrating hormone Pmch. In the pituitary, we recognized mostly upregulation of steroid synthesis in combination with GABAergic, cholinergic and opioid related neurotransmission, in adrenal glands, altered genes showed a pattern of activated metabolism plus upregulation of adrenoceptors Adrb3 and Adra1a. Data obtained from spleen showed a strong upregulation of immunomodulatory genes, chemo-/cytokines and glutamatergic/cholinergic neurotransmission related genes, as also confirmed by increased chemokine and ACTH levels in plasma.</p>
                <p>
                    <bold>Conclusions:</bold> Our data indicate that in addition to the classic HPA axis, there could be additional pathways as e.g. the cholinergic anti-inflammatory pathway (CAIP), connecting brain and immune system, modulating and finetuning communication between brain and immune system.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Behavioral conditioning</kwd>
                <kwd>NK cells</kwd>
                <kwd>gene expression analysis</kwd>
                <kwd>HPA axis</kwd>
                <kwd>poly I:C</kwd>
                <kwd>campher smell</kwd>
                <kwd>Otx2</kwd>
                <kwd>Sox11</kwd>
                <kwd>Wnt/&#x03b2;-catenin pathway</kwd>
                <kwd>Slc18a2</kwd>
                <kwd>VMAT2</kwd>
                <kwd>Spp1</kwd>
                <kwd>OPN</kwd>
                <kwd>Osteopontin</kwd>
                <kwd>Gpr88</kwd>
                <kwd>Fzd6</kwd>
                <kwd>Zic1</kwd>
                <kwd>Pmch</kwd>
                <kwd>Npy</kwd>
                <kwd>Nps</kwd>
                <kwd>Chrna3</kwd>
                <kwd>CAIP</kwd>
                <kwd>ACTH</kwd>
                <kwd>IFN-&#x03b1;</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Lisa-Kolk-Stiftung</funding-source>
                </award-group>
                <funding-statement>The study was funded by the Lisa-Kolk-Foundation.</funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec id="sec1" sec-type="intro">
            <title>Introduction</title>
            <p>Pavlovian or classical conditioning is a phenomenon of associative learning, in which a behavioral response is induced by establishing a temporal pairing between a conditioned stimulus (CS) and unconditioned stimulus (US).
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup> In addition to the well-known phenomenon of classic conditioning of physiological reflexes, immune responses can also be memorized and recalled using Pavlovian conditioning, based on a reciprocal communication between the central nervous system (CNS) and the peripheral immune system.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>
                </sup>
            </p>
            <p>This concept of behaviorally conditioned immune modulation was rediscovered by Ader and Cohen
                <sup>
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> in the 1970s, who used cyclophosphamide as an immunosuppressive agent (US) and illness-induced taste aversion by lithium chloride (LiCl) solution as CS and then measured the changes in immune responsiveness by a specific antibody reaction, using sheep erythrocytes as antigen. Since the study was published, this phenomenon of conditioned immunosuppression has been replicated in a multitude of studies
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> by different researchers all over the world and current knowledge about this phenomenon including potential pathways at work and experimental paradigms employed have been comprehensively summarized in a recent review by Hadamitzky 
                <italic toggle="yes">et al.</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup>
            </p>
            <p>While most of our knowledge on conditioning of immunological functions is derived from immunosuppression paradigms, relatively few studies have been focusing on immune enhancement. A series of these studies targeted the conditioned enhancement of both CTLs and natural killer (NK) cells in rodents, identifying multiple possible signaling molecules and pathways driving these effects.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup>
                <sup>&#x2013;</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
            </p>
            <p>Historically, behaviorally conditioned immune functions are suggested to be regulated by bidirectional interaction between CNS and peripheral immune system via the hypothalamic-pituitary-adrenal (HPA) axis, sympathetic nervous system (SNS), and the parasympathetic nervous system (PNS).
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> In addition to the HPA axis, the brain limbic system (cortex, hippocampus, amygdala) has also been associated with behaviorally conditioned immune responses.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> In a previous study,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> both adrenocorticotropic hormone (ACTH) and interferon-alpha (IFN-&#x03b1;) were shown to be involved in the efferent signaling pathways during recall of the conditioned enhancement of NK cell activity.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> However, the exact biological basis (biochemical, neuroanatomical, genetic) and the underlying molecular mechanisms driving these processes are still unclear.</p>
            <p>To shed more light on these pathways, we conducted a pilot study, using the formerly published 3-day conditioning paradigm originally developed by Hsueh 
                <italic toggle="yes">et al.</italic>.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> Following that paradigm, animals were first exposed to camphor smell and then injected with polyinosinic:polycytidylic acid (poly I:C), simulating a viral infection and also inducing so-called sickness behavior, an animal model for depression-like behavior in rodents.
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> 48h later, animals in the test group were re-exposed to camphor smell, only, to recall a behaviorally conditioned immune response in rats while animals in a positive control group receive a re-injection of poly I:C and animals in a negative control group receive smell conditioning, only, but no poly I:C re-injection.</p>
            <p>We then used a gene-agnostic expression analysis approach to identify first gene candidates along the 4 major tissues &#x2013; hypothalamus, pituitary gland, adrenal glands, and spleen - of the HPA axis while in parallel looking at cytokine/chemokine protein levels in the plasma of the conditioned animals. Results from both approaches were combined and aligned with the existing literature to provide a list of candidate genes and proteins for future studies.</p>
        </sec>
        <sec id="sec2" sec-type="methods">
            <title>Methods</title>
            <sec id="sec3">
                <title>Animals</title>
                <p>Male, Sprague Dawley (SD) rats (5-7 weeks, 160-250 g) were obtained from InVivos Pte Ltd, Singapore. Male animals were chosen to minimize the impact of hormonal cyclical changes on gene expression and behavioral readouts. Animals were housed at the Biological Resource Centre (BRC) in groups of 2 in individually ventilated cages and maintained on a 12h light/dark cycle with food and water 
                    <italic toggle="yes">ad libitum</italic> in accordance with the Agency for Science, Technology and Research (A*STAR) Animal Care and Use Committee. All efforts were made to ameliorate any suffering of animals; animals were provided with Nylabones (hard non-toxic nylon), nestlets and/or domes for environmental enrichment to ensure adequate welfare and psychological well-being. In accordance with IACUC guidelines, animals were allowed to acclimatize for a minimum of 3 days prior to study commencement and examined to confirm their health status.</p>
            </sec>
            <sec id="sec4">
                <title>General conditioning procedure and tissue collection</title>
                <p>Animals (N=30) were randomly allocated into two series (a and b) of 15 animals, each, and divided into three experimental groups as shown in 
                    <xref ref-type="table" rid="T1">Table 1</xref>. A 3-day conditioning paradigm was used in the study as described previously
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> where camphor smell was used as conditioned stimulus (CS) and poly I:C injection (ip) as unconditioned stimulus (US). In the present study, camphor smell exposure was performed in a separate procedure room for 1h using a 10 cm petri dishes filled with 5 g of camphor powder (Sigma #21310) placed above the cage (on top of the metal grid) and warmed up with a heat lamp. On day D0, animals from all the three groups were exposed to camphor smell for 1h following exposure to saline (ip; 10 ml/kg; negative control group) and poly I:C (Sigma #P1530; ip; 1 mg/kg; test and positive control group). On day D2, animals from test and negative control groups received saline injections (ip), following exposure to camphor smell for 1h whereas animals from positive control group were exposed to poly I:C only. After the last injection on day D2, animals from each group were sacrificed at 0h (n=2), +3h (n=2), +6h (n=2), +24h (n=2) and +48h (n=2) post injection, and tissues were collected (adrenal gland, hypothalamus, pituitary gland, and spleen) and stored snap frozen in RNAlater (MilliporeSigma, Burlington, U.S.A) for further analysis. Blood was collected for the isolation of peripheral blood mononuclear cells (PBMCs) and serum to perform cytokine/chemokine array analysis. Animal experiments were conducted at Biological Resource Centre (BRC), Biomedical Sciences Institutes, Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, #07-01 Centros Building, Singapore 138668.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>Table 1. </label>
                    <caption>
                        <title>Animal groups and conditioning protocol.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Group number</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Group name</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">1
                                    <sup>st</sup> treatment (Day D0)</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">2
                                    <sup>nd</sup> treatment (Day D2)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Test (n=5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Camphor smell + Poly I:C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Camphor smell + Saline</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Positive control (n=5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Camphor smell + Poly I:C</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Poly I:C</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Negative control (n=5)</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Camphor smell + Saline</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">Camphor smell + Saline</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec id="sec5">
                <title>Sucrose preference test (SPT)</title>
                <p>The SPT is a standard behavioral test to assess depression-like behavior in rodents during the development of anti-depressive treatments. The SPT is based on anhedonia (lack of interest in rewarding stimuli), which is present in some forms of affective disorders including depression. In this test, the interest of animals in seeking out a sweet rewarding drink relative to plain drinking water is used and a bias toward the sweetened drink is typical, failure to do so is an indication of anhedonia/depression.
                    <sup>
                        <xref ref-type="bibr" rid="ref16">16</xref>
                    </sup> The SPT was carried out on days -7 to - 1 (run-in phase for baseline data) as well as days D0 - D3. Rats were presented with two drinking bottles, one for each plain drinking water and 2% (w/v) sucrose solution for 24 h. The ratio of the sweetened and plain water consumed was calculated, and results were expressed as %sucrose preference.</p>
            </sec>
            <sec id="sec6">
                <title>Affymetrix microarray analysis</title>
                <p>At the end of the study, mRNA from all tissues harvested at different time points was isolated by using a RNeasy Plus minikit (QIAGEN, Hilden, Germany). RNA quality was assessed by using a Bioanalyzer 2100 (Agilent Technologies, Santa Clara, U.S.A.). Highly purified RNA was subjected to microarray analysis with a GeneChip
                    <sup>TM</sup> Rat Gene 2.0 ST Array (Affymetrix, Inc, Santa Clara, U.S.A.) to identify differential gene expression during the recall of behaviorally conditioned immune responses. RNA labelling, hybridization, staining, and scanning were performed according to the manufacturer&#x2019;s instructions. Briefly, 100 ng of total RNA from each sample was reverse transcribed to cDNA, followed by overnight in vitro transcription to generate cRNA which was further fragmented and labeled. The quality of cDNA and fragmented cRNA was assessed with an Agilent bioanalyzer. We used the Robust Multichip Average (RMA) model for array background correction and quantile normalization as described previously.
                    <sup>
                        <xref ref-type="bibr" rid="ref17">17</xref>
                    </sup>
                    <sup>&#x2013;</sup>
                    <sup>
                        <xref ref-type="bibr" rid="ref19">19</xref>
                    </sup> Probes were mapped to the Rattus norvegicus genome chip (RGSC 5.0/rn5) and results from all tissues were normalized using beta-Actin.</p>
            </sec>
            <sec id="sec7">
                <title>Analysis of differentially expressed genes</title>
                <p>All gene expression results of samples in test and positive control were matched by tissue and time point with their respective counterpart in negative control and subtracted to derive single point gene expression differences (all data expressed as 2^x). Due to insufficient RNA quality after extended storage, we could not analyze all tissue samples by microarray and had to discard multiple samples (hypothalamus negative control +24h, pituitary test and positive control 0h and +3h, adrenal test +6h and +24h and positive control 0h and +3h, spleen +24h and +48h all samples); accordingly, we first limited the analysis to the average across all available time points and then looked at single point regulations with focus on neurotransmitter-related genes in more detail; in each sample, a minimum of three individual time points were available. Following gene enrichment and comparison of test vs. negative and positive vs. negative control selection, all differentially expressed genes per tissue were then further analyzed by Reactome pathway analysis.
                    <sup>
                        <xref ref-type="bibr" rid="ref20">20</xref>
                    </sup> As we hypothesized the origin of the message post recall was from hypothalamus, we additionally leveraged QIAGEN Ingenuity Pathway Analysis (QIAGEN IPA) for a more detailed analysis of hypothalamic genes. All genes identified with avg. regulation &gt;2fold in the hypothalamus of test animals were selected and subcellular network analysis was derived using IPA graphic interface.</p>
            </sec>
            <sec id="sec8">
                <title>Quantitative RT-PCR</title>
                <p>The same RNA of all samples as used in the microarray analysis was also subjected to quantitative reverse transcription PCR (qRT-PCR) to confirm the observed differential gene expression. The qPCR laboratory work was conducted as a fee-for-service by the Qiagen service laboratory (Qiagen Life Science Service &amp; Support, Hilden, Germany), using the RT
                    <sup>2</sup> Profiler
                    <sup>TM</sup> PCR custom Array RAT (CLAR27943). Briefly, RNA was isolated, and cDNA was synthesized with Qiagen RT
                    <sup>2</sup> First Strand Kit using 500 ng of RNA, 1 &#x03bc;l RT primer mix (oligo-dT and random hexamer primers), 4 &#x03bc;l Quantscript RT buffer (5X) and 1 &#x03bc;l Quantiscript Reverse Transcriptase (QuantiTect kit, Cat. No. /ID: 205311, Qiagen). qPCR reactions were then assembled using synthesized cDNA (1&#x03bc;l), 5 &#x03bc;l RT
                    <sup>2</sup> Profiler PCR Array SYBR Green master mix (Qiagen, Germany), 1&#x03bc;l of each primer diluted to a 5 &#x03bc;M working solution and 1&#x03bc;l sterile water and processed in 96-well format including housekeeping genes, RNA and DNA controls, using Qiagen&#x2019;s proprietary primer panel. The mRNA expression was determined using the 2&#x2212;
                    <sup>&#x0394;&#x0394;CT</sup> method.
                    <sup>
                        <xref ref-type="bibr" rid="ref21">21</xref>
                    </sup> All gene expression values were normalized using Hypoxanthine phosphoribosyl transferase (HPRT), glyceraldehyde phosphate dehydrogenase (GAPDH) and &#x03b2;-Actin as references for expression analysis of genes of interest.</p>
            </sec>
            <sec id="sec9">
                <title>Cytokine array analysis</title>
                <p>Plasma protein levels for all animals and time points were evaluated as a fee-for-service by Singapore Immunology Network (SIgN), coordinated by Biomedical Research Council (#04-06 Immunos, Singapore), using the MILLIPLEX
                    <sup>&#x00ae;</sup> MAP rat pituitary endocrine multiplex assay (RPTMAG-86K) for ACTH and BDNF and MILLIPLEX
                    <sup>&#x00ae;</sup> MAP Cytokine/Chemokine Panel (RECYMAG65K27PMX, both MerckMillipore, Darmstadt, Germany) to simultaneously analyze the levels of 27 further cytokines/chemokines. Plasma samples were diluted to 2 mg/ml protein concentration, then analyzed on a MAGPIX system (Luminex, Austin, U.S.A.) and quantified using MILLIPLEX
                    <sup>&#x00ae;</sup> Analyst 5.1 software. Cytokines/chemokine measured included RANTES, GRO KC CINC-1, VEGF, Fraktalkine, LIX, MIP-2, G-CSF, Eotaxin/CCL11, GM-CSF, IL-1&#x03b1;, Leptin, MIP-1&#x03b1;, IL-4, IL-5, IL-1&#x03b2;, IL-2, IL-6, EGF, IL-13, IL-10, IL-12p70, IL-5, IL-17A, IL-18, MCP-1, IP-10, KC, VEGF, Fractalkine, LIX, MIP-2 and TNF-&#x03b1;.</p>
            </sec>
            <sec id="sec10">
                <title>Statistical analyses</title>
                <p>All statistical analysis was conducted using RMA gene expression data for all available time points for test, positive and negative control, respectively, and applying a two-tailed, unpaired, homoscedastic Student t-test (Microsoft
                    <sup>&#x00ae;</sup> Excel
                    <sup>&#x00ae;</sup> for Microsoft 365 MSO, version 2202). A 
                    <italic toggle="yes">p</italic>-value of &lt;0.05 was considered significant.</p>
            </sec>
            <sec id="sec11">
                <title>Ethical approval</title>
                <p>This study was approved under the Institutional Animal Care and Use Committee (IACUC) protocol number BRC IACUC #151001 by the IACUC of the Biological Resource Centre (BRC, Biomedical Sciences Institutes, Agency for Science, Technology and Research (A*STAR), 20 Biopolis Way, #07-01 Centros Building, Singapore 138668) on 26 Feb 2015. A specific procedure amendment pertaining to the use of sucrose preference test was approved on 03 Feb 2016.</p>
            </sec>
        </sec>
        <sec id="sec12" sec-type="results">
            <title>Results</title>
            <sec id="sec13">
                <title>Gene expression analysis</title>
                <p>The present pilot study was designed to identify differentially expressed genes along the HPA-axis i.e., hypothalamus, pituitary, adrenal, and spleen during recall of the behaviorally conditioned immune response, using a conditioning paradigm to explore efferent pathways.
                    <sup>
                        <xref ref-type="bibr" rid="ref11">11</xref>
                    </sup> As we didn&#x2019;t know the exact time point of gene alteration, we first looked at genes with maximum average regulation across all time points (0h, +3h, +6h, +24h, and +48h post recall) in all three studied groups and then looked at neurotransmitter-related regulations in more detail, also considering single point regulations. Each analysis per group and tissue included a minimum of three independent timepoints (for exact samples analyzed, see Methods).</p>
                <p>Leveraging this approach to identify major upregulated genes in test vs. negative control (&#x2018;test&#x2019;) across all tissues with a &gt;2fold average regulation across all time points, we identified 12 and 10 upregulated transcripts in hypothalamus and pituitary, respectively (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). In adrenal and spleen, however, the number of genes upregulated using this approach was significantly higher. To identify meaningful candidates in these tissues, we therefore excluded transcripts with unknown identity and focused only on genes with strong upregulation during the first 6h post recall and/or 
                    <italic toggle="yes">p</italic>&lt;0.05, comparing expression across all time points in test with their respective counterpart in negative control, thereby reducing the number of transcripts in adrenal glands and spleen to 18 and 20, respectively. We also excluded genes with a stronger upregulation in positive vs. negative control (&#x2018;positive&#x2019;) than test except when also showing a strong regulation across multiple other tissues as e.g. Cxcl11 or Cxcl13 and applied a similar approach to focus on the most promising candidate genes for downregulation (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Genes upregulated across all four tissues; differential gene expression shown as avg. across all time points test vs. negative and positive vs. negative controls.</title>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure1.gif"/>
                </fig>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Genes downregulated across all four tissues; differential gene expression shown as avg. across all time points test vs. negative and positive vs. negative controls.</title>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure2.gif"/>
                </fig>
                <p>In addition to this, we focused at up- and downregulation of neurotransmitter-associated genes such as receptors, transporters, and solute carriers, potentially involved in the efferent signaling post recall such as dopaminergic, serotonergic, opioid, cholinergic, glutamatergic, and GABAergic neurotransmission, selecting for strong regulation across multiple tissues even if not crossing an average &gt;2fold regulation across all timepoints and limiting the time frame to the first 6h post recall unless otherwise mentioned.</p>
            </sec>
            <sec id="sec14">
                <title>Hypothalamus</title>
                <p>In the hypothalamus, a total of 11 transcripts, detected by 12 probes, were upregulated &gt;2fold when comparing average regulation across all time points test vs. negative. Out of these, Slc18a2 coding for vesicular monoamine transporter 2 (VMAT2) was found upregulated significantly test vs. negative, while both Otx2, coding for orthodenticle homeobox 2 and detected by two independent probes, and Spp1, coding for secreted immune modulator osteopontin (OPN), despite strong regulation only showed a trend towards significance when combining all timepoint test vs. negative control (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <p>8 additional genes - Hapln4, Cxcl11, Fa2h, Fzd6, Zic1, Cbln1, Tspan18, and Sh2b2 - were also found upregulated &gt;2fold in test however either were also strongly upregulated in positive or did not reach significance when comparing gene expression in test vs. negative control: while Fzd6 and Zic1 were mainly upregulated in test vs. negative, Hapln4, Cxcl11, Fa2h, Tspan18, and Sh2b2 showed a similar or even higher differential gene expression in positive vs. negative than test vs. negative.</p>
                <p>As both Otx2 and Spp1 have been shown to interact with Sox9 (SRY box transcription factor 9)
                    <sup>
                        <xref ref-type="bibr" rid="ref22">22</xref>
                    </sup>and furthermore, like Fzd6 and Zic1, seem to be involved in Wnt/&#x00df;-catenin signaling, we also analyzed Sox-related gene expression and found that Sox7/8/9/10/11 and 13 were also upregulated in hypothalamus test vs. negative control, with Sox11 showing the strongest immediate regulation post recall (
                    <xref ref-type="fig" rid="f4">Figure 4</xref>).</p>
                <p>Looking at downregulation (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>), among the genes with the strongest average regulation across all time points were dopamine receptor Drd1 and Drd2, inhibitory regulatory G-protein Rgs9, and Gpr88, involved in negative regulation of opioid signaling as well as thyroid hormone-binding protein crystallin-mu (Crym). Likewise, Gpr52, shown to have a modulatory role in dopamine receptor signaling, as well as Mlip, Tiam2, Kcnv1, Chrm1, Ephx4, Arhgap6, Tac3, Plk2, and Ano3 were strongly downregulated.</p>
                <p>Looking in more detail at neurotransmitter-related regulation (
                    <xref ref-type="fig" rid="f3a">Figure 3a</xref>), we detected an upregulation of inhibitory glycine- (Glra1, Slc6a9, Slc6a5) and GABA- (Slc6a11, Gabra6) plus excitatory glutamate-related genes (Grik3, Grik4, Grm1, Grm4, Grin2d and 3b, Slc17a6 and Slc25a18). In addition, we saw an upregulation of neuropeptide S (Nps), adenylate cyclase activating polypeptide 1 (Adcyap1) plus an upregulation of nicotinic cholinergic (Chrna4, Chrna2, and Chrna6) and opioid genes (Pnoc, Pcsk1n; detected by two independent probes). Interestingly, while this upregulation was observed with multiple genes immediately post recall in positive, the same upregulation was only observed +3h post recall in test.</p>
                <fig fig-type="figure" id="f3a" orientation="portrait" position="float">
                    <label>Figure 3a. </label>
                    <caption>
                        <title>Neurotransmitter-related genes upregulated in the hypothalamus (average regulation test vs. negative and individual time points 0h, +3h, +6h, +24h, and +48h post recall; test vs. negative and positive vs. negative control, respectively). All data shown as 2^x.</title>
                    </caption>
                    <graphic id="gr3a" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure3a.gif"/>
                </fig>
                <p>This pattern of +3h delayed regulation in test vs. positive was also seen with many downregulated signaling-related transcripts (
                    <xref ref-type="fig" rid="f3b">Figure 3b</xref>) as enkephalin precursor proenkephalin Penk. We also observed a downregulation of Pcsk1 and prodynorphin Pdyn, opioid receptors kappa and mu (Oprk1, Oprm1), GABAergic- (Gabra4, Gabra5, Gabrad, Gabrarq), serotonergic- (Htr2a, Htr1d, and Htr6) and muscarinic cholinergic receptors (Chrm1), opioid regulators Rgs4 and 9, and neuropeptide Y (Npy; detected by two independent probes). Interestingly, two of the most pronounced regulated genes - pro-melanin-concentrating-hormone Pmch and vasoactive intestinal peptide Vip - were downregulated in the hypothalamus of test animals immediately post recall by more than 30fold.</p>
                <fig fig-type="figure" id="f3b" orientation="portrait" position="float">
                    <label>Figure 3b. </label>
                    <caption>
                        <title>Neurotransmitter-related genes downregulated in the hypothalamus (average regulation test vs. negative and individual time points 0h, +3h, +6h, +24h, and +48h post recall; test vs. negative and positive vs. negative control, respectively). All data shown as 2^x.</title>
                    </caption>
                    <graphic id="gr3b" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure3b.gif"/>
                </fig>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Otx and Sox genes upregulated and downregulated in hypothalamus test vs. negative and positive vs. negative control&#x00a0;0h, +3h, +6h, +24h and +48h post recall.</title>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure4.gif"/>
                </fig>
            </sec>
            <sec id="sec15">
                <title>Pituitary</title>
                <p>In the pituitary samples of test and positive control, we found a heterogenous pattern of expression in steroidogenic, nuclear, and metabolism-related genes. Except Fam111a and Nt5c3b, most of the genes like Cyp11b1/2, Plk5, unknown transcript RGD1564409, and Myo15 showed an upregulation preferentially in test but not in positive; however, as we had to exclude the first two time points in pituitary, most of the upregulation of these genes was observed only +24h post recall. Contrary to this pattern in test, we detected a very strong upregulation of interferon stimulated genes (ISGs) in positive vs. negative control such as Cxcl9/10/11, Gbp5, Rsad2, Ccl2 and 12, Isg15, Oasb1a/b, Ifit2/3, in some cases exceeding regulations by factor 100.</p>
                <p>Looking at downregulation, we only observed four genes with an average gene expression downregulated &gt;2fold: ubiquitin-conjugating enzyme Ube2U, Efcab1, Hist2h2ab and Fndc9.</p>
                <p>With regard to neurotransmission, we detected an upregulation of ionotropic glutamate receptors like kainate receptor (Grik2) at +6h and monoamine transporter Slc18a1 (VMAT1, endocrine variant of CNS-specific and hypothalamus-upregulated VMAT2), GABA receptors (Gabbr1, Gabre) and opioid binding protein-like (Opcml) upregulation in test pituitary +24h post recall. At the same time, tryptophan hydroxylase Tph1 and GABA-related transporter Slc6a1 were downregulated at +6h post recall, while cholinergic nicotinic neurotransmission-related genes as Chrna9 and Slc44a4, neuron-derived neurotrophic factor Ndnf and proline transporter Slc6a20 were downregulated +24h post recall (
                    <xref ref-type="fig" rid="f9">Figure 9</xref>).</p>
            </sec>
            <sec id="sec16">
                <title>Adrenal</title>
                <p>In the adrenal glands, 19 genes were found to be upregulated &gt;2fold on average in test animals compared to their negative counterparts. Most of the observed upregulated genes were involved in thermogenesis and metabolic pathways like carbohydrate metabolism (Pck1), lipid metabolism (Cidec, Thrsp), triglyceride catabolism (Fabp3) and heat generation related functions (Ucp1; Thermogenin), which showed a strong and immediate upregulation in test.</p>
                <p>In addition to above-mentioned genes, we observed an upregulation of tumor necrosis factor signaling genes (Tnfaip6, Nr4a2), stress responsive gene (Ddit4), gene encoding serine/threonine protein kinase (Sik1), thyroid hormone responsive protein (Thrsp), nuclear receptor (Nr4a2), proto-oncogene (Junb), and cell death-inducing DFFA-like effector c (Cidec).</p>
                <p>Looking at downregulation, we observed 9 genes with an average gene expression downregulated &gt;2fold: Phosphodiesterase (Pde01a), Gdpgp1, Mgc11619, LOC31693, Rho family GTPase (Rnd3), Guanosine monophosphate receptor (Gmpr), Myosin protein (Myo16), NONMMU and Golgi vesicular membrane trafficking protein (Bet1l).</p>
                <p>Related to neurotransmission in the adrenal glands of test animals, we found an immediate upregulation of adrenergic receptors (Adra1a, Adrb3), neuropeptide Y receptor (Npy4r), purinergic signaling receptor (P2rx5) as well as cholinergic nicotinic receptor (Chrna7). We also observed an upregulation of endorphin precursor proenkephalin (Penk), opioid receptor mu (Oprm1), neuron-derived neurotrophic factor (Ndnf) and dopamine receptor (Drd2) (
                    <xref ref-type="fig" rid="f10">Figure 10</xref>). We further saw an upregulation in the inhibitory neurotransmission associated genes like GABA receptors (Gabrg1, Gabrg2), excitatory neurotransmitter glutamate/D-serine amino acid transporter (Slc1a4) and muscarinic cholinergic receptor 1 (Chrm1). Moreover, we observed single point downregulation for opioid-related convertase (Pcsk1/2), vesicular glutamate transporter (Slc17a6), GABA transporters (Slc6a1, Slc6a11), and serotonin receptor (Htr3a).</p>
            </sec>
            <sec id="sec17">
                <title>Spleen</title>
                <p>While analyzing the gene expression in the spleen, the expression of 15 transcripts was found to be upregulated on average &gt;2fold across all timepoints measured in test animals as compared to negative control (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>). These genes included Ig-like domain-containing protein MOR5S4 (&#x201c;Hiramoto factor&#x201d;), lymphocyte antigen 6 complex (Ly6al), ubiquitin-like modifier (Isg15), similar to paired-Ig-like receptor A1 LOC690948, signal regulatory protein delta (Sirpd), chemokines Cxcl10 and Ccl12, oligoadenylate synthetase (Oasl), interferon signaling molecules as Ifitm3 and Ifit3, oxidized low density lipoprotein (Olr1), B-cell receptor Cd72, folate receptor 2, RT-1BP, and erythrocyte protein band Ebp4.1. Most of the upregulated genes identified in spleen were either involved in immune activation or in immune function regulation.</p>
                <p>Likewise, also many genes downregulated in spleen across all time points measured were related to immune regulatory functions such as G protein signaling regulator (Rgs13) and Killer cell lectin receptor (Klrd1). In addition, we observed a strong downregulation of olfactory receptor Olr1516, detected by two probes, Smarce1l, UDP-Gal:betaGlcNAc beta 1,4-galactosyltransferase polypeptide 4 (B4galt4) and two further uncharacterized transcripts (LOC10254, LOC10091).</p>
                <p>Looking at gene expression regarding neuronal and endocrine signaling (
                    <xref ref-type="fig" rid="f11">Figure 11</xref>), we detected an upregulation of opioid signaling (Pcsk2 and Pcsk1; detected by two independent probes and opioid receptor Sigmar1), nicotinic acetylcholine receptor alpha 3 (Chrna3), ionotropic glutamate receptor delta 2 (Grid2), DNA directed RNA polymerase II (Polr2m), NMDA glutamate receptor ionotropic 1A (Grin1a), D-serine transporter (Slc1a4) and glutamate decarboxylase 2 (Gad2). We also observed a downregulation opioid receptor delta 1 (Oprd1), adrenomedullin 2 (Adm2), cholinergic receptor muscarinic 2 and both glutamatergic (Grik1, Gad2, Grm4), GABAergic (Gabbr1, Gabrp) and serotonergic receptors (Htr1d). Interestingly, exactly opposite as in hypothalamus, we observed an upregulation of neuropeptide Y (Npy) and a downregulation of neuropeptide S (Nps) in spleen.</p>
                <p>Taken together, gene expression data obtained from spleen were summarized by a strong upregulation of immunomodulatory genes, chemo-/cytokines and glutamatergic as cholinergic neurotransmission related genes. And similar to hypothalamus, also in spleen we saw a pattern of immediate regulation in positive e.g. of opioid-related transcripts as Pcsk1 or Gpr88, while the same upregulation in test was only observed +3h later.</p>
            </sec>
            <sec id="sec18">
                <title>Validation of microarray gene expression data by using qRT-PCR</title>
                <p>To validate the gene expression results obtained by rat full genome microarray analysis, we picked a representative subset of 32 genes including housekeeping genes, interleukins, ISGs, and chemokines, preferably regulated across multiple tissues (
                    <xref ref-type="table" rid="T2">Table 2</xref>).
                    <sup>
                        <xref ref-type="bibr" rid="ref23">23</xref>
                    </sup> The mRNA quantity of those genes was analyzed by qRT-PCR and correlation with the corresponding microarray results was assessed. While not all genes correlated perfectly, a strong overall correlation across multiple tissues and expression levels (r
                    <sup>2</sup> = 0.8377) was detected (
                    <xref ref-type="fig" rid="f5">Figure 5</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="float">
                    <label>Table 2. </label>
                    <caption>
                        <title>List of 32 genes used for validation of Affymetrix rat genome chip data by qRT-PCR including individual correlation per gene and correlation across all data points.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">Gene symbol</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Official full name</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">Correlation</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ccl12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-C motif) ligand 12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.840</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ccl2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-C motif) ligand 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.859</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ccl5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-C motif) ligand 5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.929</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ccl7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-C motif) ligand 7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.821</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cd274</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">CD274 molecule</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.914</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Creb3l1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">cAMP responsive element binding protein 3-like 1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.944</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Csf1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">colony stimulating factor 1 (macrophage)</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.829</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cx3cl1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-X3-C motif) ligand 1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.877</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cxcl10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-X-C motif) ligand 10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.890</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cxcl11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-X-C motif) ligand 11</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.872</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Cxcl9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">chemokine (C-X-C motif) ligand 9</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.851</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Fos</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">FBJ osteosarcoma oncogene</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.898</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Fosl2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">fos-like antigen 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.962</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Gbp2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">guanylate binding protein 2, interferon-inducible</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.926</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Gbp5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">guanylate binding protein 5</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.866</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Hprt1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">hypoxanthine phosphoribosyltransferase 1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.783</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Igtp</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">interferon gamma induced GTPase</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.939</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Il10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">interleukin 10</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.907</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Il1a</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">interleukin 1 alpha</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.734</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Il1b</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">interleukin 1 beta</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.913</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Il21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">interleukin 21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.347</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Irf1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">interferon regulatory factor 1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.865</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Irf7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">interferon regulatory factor 7</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.954</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Junb</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">jun B proto-oncogene</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.914</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Ly49si1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">immunoreceptor Ly49si1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.647</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mmp12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">matrix metallopeptidase 12</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.906</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Mx2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">myxovirus (influenza virus) resistance 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.947</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Rsad2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">radical S-adenosyl methionine domain containing 2</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.928</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">RT1-A1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">RT1 class Ia, locus A1</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.859</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Sdha</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">succinate dehydrogenase complex, subunit A, flavoprotein</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.896</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Tnf</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">tumor necrosis factor</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.759</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">Usp18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">ubiquitin specific peptidase 18</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0.932</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Total</bold>
                                </td>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>0.914</bold>
                                </td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
                <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                    <label>Figure 5. </label>
                    <caption>
                        <title>Scatter plot correlation analysis of 32 differentially expressed genes in all four tissues analyzed using Affymetrix chip analysis and qRT-PCR.</title>
                    </caption>
                    <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure5.gif"/>
                </fig>
            </sec>
            <sec id="sec19">
                <title>Plasma cytokine/chemokine levels post recall of the behaviorally conditioned immune response</title>
                <p>Plasma levels of ACTH were found to be increased during the first 6h post recall in both in test and positive control animals, with a peak at +6h in positive. Similar, we observed an increased plasma level of IFN-&#x03b3; immediately post recall in test and 0h to +3h in positive control. IL-1&#x03b1; showed a similar yet less pronounced response in the plasma of both test and positive control animals, peaking at 0h and +6h post recall while IL-1&#x03b2; showed a similar profile to IFN-&#x03b3;, peaking 0h to +3h in test and 3h later in positive control. The most pronounced changes were observed for the plasma levels of chemokines GRO/KC/Cinc-1 (Cxcl1), IP-10 (Cxcl10), MCP-1 (Ccl2), MIP-1&#x03b1; (Ccl3), Rantes (Ccl5), and TNF-&#x03b1;, with a strong peak at +6h post recall, both in test and in positive control animals (
                    <xref ref-type="fig" rid="f6">Figure 6</xref>).</p>
                <fig fig-type="figure" id="f6" orientation="portrait" position="float">
                    <label>Figure 6. </label>
                    <caption>
                        <title>Heat map showing levels of IFN-&#x03b3;, ACTH, GRO/KC/CINC-1, MIP-1&#x03b1;, RANTES, TNF&#x03b1;, MCP-1 and IP-10 in the plasma of test, positive control, and negative control animals.</title>
                    </caption>
                    <graphic id="gr6" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure6.gif"/>
                </fig>
            </sec>
            <sec id="sec20">
                <title>Sucrose preference test (SPT) and anhedonia</title>
                <p>With regard to future studies, we also assessed behavioral data during recall of the conditioned immune response employing the sucrose preference test to evaluate potentially conditioned depression-like anhedonia. During the run-in phase from day -7 to -1, a constant and strong preference for the sucrose solution &gt;90% was observed in all study groups. On D0 (day of 1
                    <sup>st</sup> camphor exposure/poly I:C treatment), a drop in sucrose preference both in test and positive control was observed after poly I:C injection, indicating anhedonia, while there was a less pronounced reduction of sucrose preference in negative control with saline injection, only. Following a return to normal, these effects were further exacerbated on D2 (post recall) with further reduction in sucrose in all animal groups (
                    <xref ref-type="fig" rid="f12">Figure 12</xref>).</p>
                <fig fig-type="figure" id="f7" orientation="portrait" position="float">
                    <label>Figure 7. </label>
                    <caption>
                        <title>Network chart, depicting potential interaction between upregulated genes connected to Otx-2, Spp1 and Slc18a2 in hypothalamus and potential intermediaries (Qiagen 2020-2022 Ingenuity Pathway Analysis).</title>
                    </caption>
                    <graphic id="gr7" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure7.gif"/>
                </fig>
                <fig fig-type="figure" id="f8" orientation="portrait" position="float">
                    <label>Figure 8. </label>
                    <caption>
                        <title>Illustration showing the possible efferent pathway involved in the immune regulation during recall of behaviorally conditioned immune response.</title>
                    </caption>
                    <graphic id="gr8" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure8.gif"/>
                </fig>
                <fig fig-type="figure" id="f9" orientation="portrait" position="float">
                    <label>Figure 9. </label>
                    <caption>
                        <title>Neurotransmitter-related genes upregulated/downregulated in the pituitary (average regulation test vs. negative and individual time points 0h, +3h, +6h, +24h, and +48h post recall; test vs. negative and positive vs. negative control, respectively). </title>
                    </caption>
                    <graphic id="gr9" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure9.gif"/>
                </fig>
                <fig fig-type="figure" id="f10" orientation="portrait" position="float">
                    <label>Figure 10. </label>
                    <caption>
                        <title>Neurotransmitter-related genes upregulated/downregulated in the adrenal glands (average regulation test vs. negative and individual time points 0h, +3h, +6h, +24h, and +48h post recall; test vs. negative and positive vs. negative control, respectively). </title>
                    </caption>
                    <graphic id="gr10" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure10.gif"/>
                </fig>
                <fig fig-type="figure" id="f11" orientation="portrait" position="float">
                    <label>Figure 11. </label>
                    <caption>
                        <title>Neurotransmitter-related genes up/downregulated in the spleen (average regulation incl. p test vs. negative and individual time points 0h, +3h, +6h, +24h, and +48h post recall; test vs. negative and positive vs. negative control, respectively).</title>
                        <p/>
                    </caption>
                    <graphic id="gr11" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure11.gif"/>
                </fig>
                <fig fig-type="figure" id="f12" orientation="portrait" position="float">
                    <label>Figure 12. </label>
                    <caption>
                        <title>Sucrose preference test (SPT).</title>
                        <p>Water and 2% sucrose solution was presented to all animals, and the relative consumption of sucrose solution is shown as % (100% = exclusively sucrose solution). The consumption over 24h was measured and analyzed for each day.</p>
                    </caption>
                    <graphic id="gr12" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/136138/c1255311-0bf3-4b59-a5fb-47ba7431b115_figure12.gif"/>
                </fig>
            </sec>
        </sec>
        <sec id="sec21" sec-type="discussion">
            <title>Discussion</title>
            <p>In the present pilot study, we tried to shed preliminary light on the underlying molecular mechanisms, driving behaviorally conditioned immune enhancement. For that purpose, we employed a conditioning paradigm using camphor smell as conditioned stimulus and an i.p. injection of poly I:C as unconditioned stimulus and hypothesized that the efferent signals for the recall of immune response originate from the hypothalamus. To test our hypothesis, we analyzed differential gene expression in the organs along the HPA axis in test (smell re-exposure and sham injection on D2), positive (poly I:C injection on D0 and D2, only) and negative control (smell re-exposure however sham injection both on day 0 and day +2, respectively) animals along with plasma levels of cytokines/chemokines.</p>
            <p>As opposed to our initial hypotheses, it seems there could not only be one but multiple signaling pathways post recall along the HPA axis. Analyzing gene expression patterns in hypothalamus, pituitary, adrenal glands, and spleen, we found evidence for the involvement of WNT/&#x03b2;-catenin pathways, including genes as Otx2, Fzd6, Zic1, and Sox7/8/9/10/11 and 13 in the hypothalamus during the early phases of the recall, corroborating earlier studies and recent studies.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> These findings are complemented by the elevated expression of secreted immunomodulators (osteopontin, OPN) in the hypothalamus and dopaminergic as well as opioid signaling. In the pituitary of test animals, we observed a strong upregulation of steroid synthesis related genes, while gene expression of interferon stimulated genes (ISGs) as Cxcl11, Cxcl10, Cxcl9, Ccl2, Ccl7, Ccl12, Gbp5, Rsad2, Oasb1a/b, and Ch25h seemed mostly confined to positive control. We also identified a strong and immediate upregulation of thermogenesis and prostaglandin synthase associated genes in the adrenal glands and strong upregulation of immunoregulatory molecules in the spleen. Overall, the molecular signaling post recall seems to travel from hypothalamus to pituitary and then onwards to adrenal and spleen, both via neuronal pathways as blood borne messengers and then reach back to the hypothalamus via feedback loops. The same expression pattern can also be observed in positive control; however, here the reaction seems to occur much faster, especially regarding downregulated genes, which show up 3h earlier with poly I:C re-injection compared to re-exposure to the conditioned stimulus.</p>
            <p>Looking at the cascade in more detail, one of the key players in the hypothalamus seems to be Otx2, with its immediate and strong upregulation in the test arm, detected by two independent array probes. The upregulation of frizzled receptor Fzd6 and transcription factor Zic1 in test further point towards an involvement of the WNT/&#x03b2;-catenin pathway. While Wnt1 upregulation in the test arm did not reach the &gt;2fold threshold, we observed an immediate upregulation of Wnt5a and Wnt7b in the hypothalamus of test animals. This observation of Wnt regulation in association with genes involved in dopaminergic signal transmission (Slc18a2) links to a recent study by Zhang &amp; Yang, 2021,
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> which found two other Wnt genes, Wnt1 and Wnt3a play a critical role in the differentiation of neural stem cells into dopaminergic neurons using tetrahydroxy stilbene glycoside and Wnt-signaling specific inhibitor (IWR1).</p>
            <p>Downstream of Otx2, we saw an upregulation in neural transcription factors Sox8, 9, 10, 11 and 13, with Sox11 being upregulated immediately post recall in test and Sox10 showing the strongest upregulation at +3h post recall. Of note, Sox9, 10, and 11 have previously been shown to interact with Otx2 during the neural development
                <sup>
                    <xref ref-type="bibr" rid="ref27">27</xref>
                </sup> and regulation of visual cycle gene expression in the retinal pigment epithelium.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> In addition, we also observed a single point upregulation of the homeobox transcription factor Engrailed 1 (En1) +3h post recall in test and immediately in positive. Engrailed 1 has been shown to interact with Otx2, repressing canonical Wnt-signaling during murine embryonic development of the mid and hindbrain and its expression seems to be an important survival factor both for serotonergic and dopaminergic neurons.
                <sup>
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup>
            </p>
            <p>Beside Otx2, two further genes were found strongly upregulated in hypothalamus post recall in test: Spp1, coding for immune regulator osteopontin (OPN) and Slc18a2, coding for vesicle transporter VMAT2. OPN, beside its historical role in biomineralization, has been shown to hold a central role in immune activation and regulation e.g. by interacting with leukocyte integrin receptors (&#x03b1;4&#x03b2;1, &#x03b1;9&#x03b2;1, and &#x03b1;9&#x03b2;4)
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref30">30</xref>
                </sup> and cell-surface marker (CD44),
                <sup>
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup> involved in lymphocyte activation, recirculation, and homing. OPN is also a chemoattractant for neutrophils, expressed by wide range of immune cells and has been shown to play a role in immunomodulation by blocking IL-10 in Th2 type cytokine responses and promoting inflammatory IL-12 and Th1 type expansion.
                <sup>
                    <xref ref-type="bibr" rid="ref32">32</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref33">33</xref>
                </sup> Considering its pronounced upregulation during the first 6h post recall in test and its humoral immunomodulatory functions, we postulate a central role for OPN in the recall of conditioned immune enhancement, either directly or working in concert with release of CRH and/or other soluble factors into the median eminence, triggering the release of ACTH and further immunomodulatory molecules from the pituitary gland. While this hypothesis is in line with earlier findings by Hsueh et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> which demonstrated the involvement of plasma ACTH in the recall of the behaviorally conditioned immune enhancement, except a short peak +3h in positive, we did not detect any upregulation of Pomc, precursor of ACTH and multiple other peptide hormones, on mRNA level in any of the tissues. We did, however, detect an immediate, single point upregulation of IFN-&#x03b3; gene expression in the hypothalamus of test and a similar upregulation of IFN-&#x03b1; in the spleen +6h post recall of positive control animals.</p>
            <p>Another - not necessarily mutually exclusive - option of how OPN might be involved in the signaling cascade during recall of the conditioned immune reaction, could be the HPA feedback loop. As shown by Wang et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup> OPN -/- mice show reduced levels of ACTH and elevated levels of cortisol during chronic restraint stress and as speculated, same could be due to a negative feedback loop involving OPN. Interestingly, we also detected decreased levels of Cxcl10 and Ccl2, both in hypothalamus of test +6h post recall and immediately post recall in the pituitary of positive control animals. Further to this hypothesis, Trinh et al. in 2020
                <sup>
                    <xref ref-type="bibr" rid="ref35">35</xref>
                </sup> further demonstrated that stress, induced by systemic poly I:C injection, can increase plasma OPN, triggering the release of ACTH. This is in line with the Wang&#x2019;s observation that OPN injection results in partial restoration of the ACTH response to stress in OPN -/- mice, while an anti-OPN antibody was shown to partially inhibit the stress response in OPN WT mice.
                <sup>
                    <xref ref-type="bibr" rid="ref34">34</xref>
                </sup>
            </p>
            <p>The third strongly upregulated gene in hypothalamus in test post recall was Slc18a2, encoding vesicular monoamine transporter (VMAT2). VMAT2 is responsible for the transport of cholinergic neurotransmitters norepinephrine and dopamine into synaptic vesicles. Interestingly, both Reserpine, which irreversibly inhibits VMAT2, and 6-Hydroxydopamine (6-OHDA), a neurotoxin inhibiting dopamine signaling, have been shown to downregulate Slc18a2 transcription, blocking both the conditioned recall of an enhanced NK reaction
                <sup>
                    <xref ref-type="bibr" rid="ref36">36</xref>
                </sup> and the conditioned recall of the enhanced neutrophil reaction.
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> As further shown by Hsueh et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup>
                <sup>,</sup>
                <sup>
                    <xref ref-type="bibr" rid="ref37">37</xref>
                </sup> both cholinergic and serotonergic pathways in the CNS seem to be involved during acquisition as well as recall of the conditioned NK cell response and same has been shown to involve both muscarinic and nicotinic receptors. In line with these data, we saw a downregulation of both dopamine receptors (Drd1, Drd2) and serotonergic receptors (Htr1f, Htr2a) in the hypothalamus of test animals +3h post recall, further pointing towards an involvement of dopaminergic and/or noradrenergic signaling pathways during the recall of the conditioned response. 
                <xref ref-type="fig" rid="f7">Figure 7</xref> shows the putative interaction between the upregulated genes and potential interactors.</p>
            <p>Additional genes strongly downregulated in hypothalamus included pro-melanin-concentrating hormone gene (Pmch), precursor of the orexigenic peptide MCH, vasoactive intestinal peptide (Vip) as well as neuropeptide Y (Npy), together with an upregulation of neuropeptide S (Nps). MCH, in addition to its role in appetite stimulation, has been shown to play a critical role in regulating dopamine signaling by suppressing DA release in the nucleus accumbens while NPY seems to play a similar role by directly inhibiting dopaminergic neurons in the ventral tegmental area (VTA).
                <sup>
                    <xref ref-type="bibr" rid="ref38">38</xref>
                </sup> Neuropeptide S has the exact opposite effect as neuropeptide Y, acting anxiolytic and anorectic, which adds to the pattern of appetite-reduction and energy conversation by immediate and strong downregulation of Pmch and Vip, further augmented by downregulation of Npy and upregulation of Nps, observed immediately in positive and +3h post recall in test.</p>
            <p>We also observed a strong downregulation of opioid inhibitory G-protein coupled receptor 88 (Gpr88) and regulator of G-protein signaling 9 (Rsg9) in concert with an upregulation of prepronociceptin (Pnoc) and proprotein convertase subtilisin/kexin type 1 inhibitor (Pck1n), detected by two independent probes; like with Npy and Nps, regulation was observed +3h in test and immediate in positive. Again, these observations are in line with former studies by Hsueh et al.,
                <sup>
                    <xref ref-type="bibr" rid="ref39">39</xref>
                </sup> which have demonstrated the involvement of opioid pathways during the recall of behavioral conditioned immune enhancement.</p>
            <p>Finally, we also identified RT-1A upregulated in both hypothalamus and adrenal of test animals. RT-1A is a classical rat MHC class Ia gene, involved in the presentation of peptides to cytotoxic T lymphocytes and has been shown to interact with the Ly-49 family of receptor on NK cells as &#x201c;self-identifier&#x201d;, thereby providing protection against NK cell lysis.
                <sup>
                    <xref ref-type="bibr" rid="ref40">40</xref>
                </sup>
            </p>
            <p>Most of the other genes we observed regulated in hypothalamus shortly post recall such as cilia and flagella associated protein Cfap43, involved in olfactory detection, Npas4, key regulator of GABAergic synapse development, stabilizing the activity of neurons during glutamatergic input, or dynein subunits Dnah12 and Dnah1, point towards a heavy involvement of microtubular transport processes during the recall of the conditioned immune reaction.</p>
            <p>Pituitary onwards, we observed an upregulation of steroidogenic, nuclear, and metabolism-related genes like Fam111, Star or Rgs1 in test animals post recall as opposed to a strong upregulation of ISGs in positive. Same view, however, might be distorted as we were not able to analyze time points +0h and +3h in pituitary, and hence might have missed upregulation during first 3h.</p>
            <p>Independently of this, we did observe an upregulation of orphan nuclear receptors Nr4a2 and Nr4a3 in test - while the exact function of both receptors has not been fully elucidated, recent studies point towards a role in antigen presentation and viral response.
                <sup>
                    <xref ref-type="bibr" rid="ref41">41</xref>
                </sup> Downregulation did not yield a consistent pattern and beside few, single point downregulations as observed with Tetraspanin (Tspan8) and Claudin (Cldn1), only serotonin-related tryptophan hydroxylase Tph1 showed a clear pattern. This rather mixed expression pattern in test is in strong contrast to the clear and strongly ISG-dominated expression pattern in positive control, showing more than 50x upregulation for genes like Cxcl9, 10, 11 or Gbp5, Rsad2, and Ccl2, which points to a different mechanism when comparing poly I:C re-injection to the recall of the conditioned immune reaction.</p>
            <p>Further along the HPA axis, the strong immediate upregulation of Ucp1 (&gt;300fold) in the adrenal glands of test animals point towards a dramatic shift in metabolism towards heat generation as e.g. required for fever induction. Likewise, strongly upregulated Thrsp has also been shown to play a role in thermogenesis of brown adipocytes,
                <sup>
                    <xref ref-type="bibr" rid="ref42">42</xref>
                </sup> which was recently confirmed in fed and refed hatchling chicks. This metabolic shift towards heat generation is also in line with the upregulation of fatty acid binding protein Fabp3, involved in the regulation of mitochondrial thermogenesis and temperature homeostasis. At the same time, we saw the upregulation of both adrenergic receptors Adr1a and Adr3b. Both receptors have been shown to be involved in metabolic abnormalities and associated diseases and mutations in these receptors have been speculated to be associated with weight gain in association with anti-psychotic drugs, further corroborating a role of gene expression towards metabolic adaptation to sickness-related conditions.</p>
            <p>In the spleen, we saw a strong upregulation of known and partially unknown immunomodulatory genes. The highest upregulation was observed for a 354bp uncharacterized transcript, coding for a 118aa Ig-like domain containing protein (M0R5S4; &#x201c;Hiramoto factor&#x201d;). Reactome analysis suggests the involvement of this protein in immunoregulatory interaction between lymphoid and non-lymphoid cells involving lymphoid expressed Fc-gamma receptors and/or in signaling of the B cell receptor. The second upregulated gene, Ly6aI, also known as stem cell antigen 1 (SCA-1), has recently attracted attention after it was identified as key gene in the transport of neurotropic vector adeno-associated virus serotype 9 across the blood-brain barrier in C57BL/6J mice.
                <sup>
                    <xref ref-type="bibr" rid="ref43">43</xref>
                </sup> Its classic function, however, is more known in hematopoiesis; in fact, Sca1 is one of the most common cell surface marker used to enrich adult hematopoietic stem cells. Furthermore, a regulatory role of Ly6 proteins in nicotinic acetylcholine receptors (nAChRs) has been suggested.
                <sup>
                    <xref ref-type="bibr" rid="ref44">44</xref>
                </sup>
            </p>
            <p>In addition to M0R5S4 and Ly6aI, many other genes upregulated in spleen fall into the category of immunomodulation and -regulation. RT1-Bb is a member of the MHC class II family interacting with CD4 receptors on helper T cells. SIRP&#x03b4; (Sirpd) is a member of the signal regulatory protein family, involved in signal transduction and cell adhesion and more researched member SIRP&#x03b1; acts as inhibitory receptor by interacting with transmembrane protein CD47, controlling effector functions of the innate immune response.
                <sup>
                    <xref ref-type="bibr" rid="ref45">45</xref>
                </sup> Loc690948, predicted to code for Lilrb3a, is an inhibitory member of the leukocyte immunoglobulin-like receptor family and LILRBs have been documented on a broad range of immune cells including NK cells, where they can modulate immune cell functions as cytokine release, antibody production and -presentation
                <sup>
                    <xref ref-type="bibr" rid="ref46">46</xref>
                </sup> as well as Toll-like receptor signaling.
                <sup>
                    <xref ref-type="bibr" rid="ref47">47</xref>
                </sup> Apol11a, coding for a Apolipoprotein L, a Bcl-2 like protein, has been proposed to have cell death related function due to their pore-forming domain, inflicted by dendritic cells after viral stimulation and also gets strongly expressed splenic DCs post stimulation with poly I:C, dependent on TLR3/TRIF, a reaction mimicked by IFN-&#x00df;.
                <sup>
                    <xref ref-type="bibr" rid="ref48">48</xref>
                </sup> CD72 is an inhibitory co-receptor on B cells, that recognizes the RNA-containing Sm/RNP (Smith/Ribonucleoproteins as resulting from cell death) by an extracellular C-type lectin domain (CTLD) while inhibiting the corresponding B cell response through it intracellular immunoreceptor tyrosine-based inhibition motif (ITIM), thereby blocking the TLR7-mediated activation of antibody production.
                <sup>
                    <xref ref-type="bibr" rid="ref49">49</xref>
                </sup> Finally, RT1-N2 belongs to the family of rat MHC class Ib molecules. This class has recently been shown to interact with both inhibitory and activating Ly49 receptors, resulting in the specific expansion of allospecific NK cells.
                <sup>
                    <xref ref-type="bibr" rid="ref50">50</xref>
                </sup> All these findings point towards a central role for spleen in the modulation of the behavioral conditioned immune enhancement.</p>
            <p>With reference to Hsueh et al.
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> original study in mice, we also looked at IFN-related gene expression in spleen and while we couldn&#x2019;t find an upregulation of Ifn-&#x03b1; or -&#x03b2; in spleen of test, we did observe an upregulation of Ifn-&#x03b1;2 gene expression in positive +6h post recall. More importantly, we also saw an immediate peak of Ifn-&#x03b3; expression in hypothalamus of test, also reflected by elevated IFN-gamma levels in plasma. Likewise in line with Hsueh et al., we did observe elevated ACTH plasma levels in test and positive during the first 6h post recall but not in negative control animals (
                <xref ref-type="fig" rid="f6">Figure 6</xref>).</p>
            <p>For other chemokines, we saw a rather mixed pattern when comparing plasma levels and gene expression: while we did see a peak of GRO/KC/Cinc-1, MIP-1&#x03b1;, and Rantes +6h in plasma of both test and positive control, a corresponding upregulation of Cxcl1, Ccl3 and Ccl5 on gene level could only be observed in pituitary and adrenal of positive. Likewise, a plasma peak of TNF-&#x03b1; did show a corresponding upregulation of Tnf gene expression. For plasma MCP-1, we observed immediate upregulation of Ccl2 in the spleen of positive and 3h later in spleen of test. This pattern resembles very much the expression of Cxcl10 and corresponding plasma levels of IP-10, where we first saw an upregulation of Cxcl10 in spleen of positive and 3h later in test plus a similar, 3h delayed pattern in hypothalamus. This pattern, an upregulation in spleen, first, and 3h later in hypothalamus, starting in positive, immediately and 3h delayed in test, was also observed for other ISGs as Cxcl11, Gbp5, and Rsad2, and might suggest that the upregulation of ISGs in hypothalamus is rather a secondary effect, triggered by an upregulation of ISGs in spleen.</p>
            <p>In this context, it might be interesting to mention that we also observed a short but clear upregulation of acetylcholine receptor Chrna3 in the spleen of test animals immediately post recall. Most of the available literature suggest Chrna7 as the main receptor for acetylcholine
                <sup>
                    <xref ref-type="bibr" rid="ref51">51</xref>
                </sup> in the spleen, involved in the relay of vagus nerve signals to cytokine-producing macrophages via acetylcholine-synthesizing T cells in the spleen
                <sup>
                    <xref ref-type="bibr" rid="ref52">52</xref>
                </sup> and as recently discovered, this Chrna7-based activation of macrophages seems to be mediated by a downregulation of &#x03b1;1,3-Fucosyltransferase Fut7.
                <sup>
                    <xref ref-type="bibr" rid="ref53">53</xref>
                </sup> We could not see any upregulation of Chrna7 in spleen, however we did see a downregulation in Fut7 +3h post recall in both test and positive, hinting towards a potential involvement of the vagal system in modulating the recall of the conditioned immune reaction. And while a recent paper by Verlinden et al. 2019
                <sup>
                    <xref ref-type="bibr" rid="ref54">54</xref>
                </sup> demonstrated catecholaminergic but no direct cholinergic innervation of the spleen, this finding does not rule out the possibility of an indirect vagal innervation via postganglionic non-cholinergic fibers, further supported by a recent study by Zhang et al.
                <sup>
                    <xref ref-type="bibr" rid="ref55">55</xref>
                </sup> that has shown that CRH neurons originating from the CeA of the amygdala and PVN of the hypothalamus can stimulate splenic plasma cells formation via direct splenic innervation, potentially via intermediate T cells, translating the noradrenalinergic signal into an acetylcholinergic message.</p>
            <p>In summary, our data indicate that in addition to the classic HPA axis involving CRH, ACTH and cortisol release, there could be additional pathways connecting brain and immune system during the recall of behavioral conditioned immune enhancement e.g. by direct splenic innervation, modulating and finetuning the message via cholinergic signaling from the PVN. We further postulate that recall of the conditioned immune response starts in the hypothalamus via a Wnt/&#x03b2;-catenin related pathway, involving Otx2, Sox7/8/9/10/11, Zic1, and Fzd6 as well as monoaminergic (Slc18a2) and opioid messaging (Gpr88). While still to be analyzed in more detail, both osteopontin as strongly upregulated, potentially in concert with Pmch and Vip as strongly downregulated immediately post recall, seem to play an important role during the early phases - either in the communication between hypothalamus and pituitary and/or as blood borne immune modulators themselves. While pituitary onwards, it is hard to identify one specific pathway, we observe the upregulation of steroidogenic and thermogenic genes in pituitary and adrenal, respectively, pointing towards an early hormonal activation in parallel to a strong immunomodulation observed in spleen, from where the feedback loop involving strongly upregulated ISGs as Cxcl9/10/11 reaches back to the brain.</p>
        </sec>
        <sec id="sec22">
            <title>Data availability</title>
            <p>Underlying data deposited in 
                <ext-link ext-link-type="uri" xlink:href="http://Zenodo.org">Zenodo.org</ext-link>: 
                <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.7086375">https://doi.org/10.5281/zenodo.7086375</ext-link>.
                <sup>
                    <xref ref-type="bibr" rid="ref56">56</xref>
                </sup>
                <list list-type="bullet">
                    <list-item>
                        <label>&#x2022;</label>
                        <p>20220902 Affymetrix all tissues all timepoints red green incl p v2.xlsb (Affymetrix raw data and analysis across all tissues and time points)</p>
                    </list-item>
                    <list-item>
                        <label>&#x2022;</label>
                        <p>20220803 Ct values and Affymetrix correlation v2.xlsx</p>
                        <p>(qRT-PCR Ct values and corresponding Affymetrix data for 32 genes)</p>
                    </list-item>
                </list>
            </p>
            <sec id="sec23">
                <title>Reporting guidelines</title>
                <p>Zenodo: ARRIVE checklist for 
                    <italic toggle="yes">&#x201c;Differential gene expression during recall of behaviorally conditioned immune enhancement in rats: a pilot study&#x201d;</italic>, 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.7086375">https://doi.org/10.5281/zenodo.7086375</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref56">56</xref>
                    </sup>
                </p>
                <p>Data are available under the terms of the Creative Commons Attribution 4.0 International &#x201c;No rights reserved&#x201d; data waiver (
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/share-your-work/public-domain/cc0/">https://creativecommons.org/share-your-work/public-domain/cc0/</ext-link>)</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We thank Hannes Martin Hentze, Mukta Pathak, and Parul Saxena for helpful comments to adjust the study design and their contribution to the animal, tissue isolation, and gene expression experiments. We thank Mohit Kumar for support for the preparation of this manuscript.</p>
            <p>In recognition of Professor Raymond N. and Nancy Hiramato&#x2019;s contribution to the field of psychoneuroimmunology (PNI), we would like to name the currently uncharacterized gene fragment MOR5S4 as &#x201c;Hiramoto factor&#x201d;.</p>
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        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report174282">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.136138.r174282</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Oliveira</surname>
                        <given-names>Daniele Suzete Persike de</given-names>
                    </name>
                    <xref ref-type="aff" rid="r174282a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <aff id="r174282a1">
                    <label>1</label>Department of Medicinal Chemistry, College of Pharmacy, University of Duhok, Duhok, Iraq</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>20</day>
                <month>6</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Oliveira DSPd</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport174282" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.123975.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>Reading this article was very useful for me, since it addresses a very interesting and still not well understood topic.&#x00a0;</p>
            <p> I understand that the article was well written and presented in a clear manner. I would only have two comments: 
                <list list-type="order">
                    <list-item>
                        <p>Despite being a pilot study, the total number of animals used per group seems to be quite small (n=5).</p>
                        <p> A clarification on that would be appreciated since the Table 1 mentions 5 animals/group, but the descriptive text below it explains that the animals from each group were later divided into 0h (n=2), +3h (n=2), +6h (n=2), +24h (n=2) and +48h (n=2) making a total of 10 animals/group.</p>
                    </list-item>
                    <list-item>
                        <p>I believe it would be interesting if the author addressed the "placebo response" in the discussion. Current placebo research postulates that conditioning processes are one of the major mechanisms of the placebo response and I believe it would be something interesting to be addressed as it might be part of the results observed. See the article: Vits 
                            <italic>et al. </italic>(2011
                            <sup>
                                <xref ref-type="bibr" rid="rep-ref-174282-1">1</xref>
                            </sup>).</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Yes</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Neuroscience.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
        </body>
        <back>
            <ref-list>
                <title>References</title>
                <ref id="rep-ref-174282-1">
                    <label>1</label>
                    <mixed-citation publication-type="journal">
                        <person-group person-group-type="author"/>:
                        <article-title>Behavioural conditioning as the mediator of placebo responses in the immune system.</article-title>
                        <source>
                            <italic>Philos Trans R Soc Lond B Biol Sci</italic>
                        </source>.<year>2011</year>;<volume>366</volume>(<issue>1572</issue>) :
                        <elocation-id>10.1098/rstb.2010.0392</elocation-id>
                        <fpage>1799</fpage>-<lpage>807</lpage>
                        <pub-id pub-id-type="pmid">21576137</pub-id>
                        <pub-id pub-id-type="doi">10.1098/rstb.2010.0392</pub-id>
                    </mixed-citation>
                </ref>
            </ref-list>
        </back>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report173302">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.136138.r173302</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Schedlowski</surname>
                        <given-names>Manfred</given-names>
                    </name>
                    <xref ref-type="aff" rid="r173302a1">1</xref>
                    <role>Referee</role>
                </contrib>
                <contrib contrib-type="author">
                    <name>
                        <surname>L&#x00fc;ckemann</surname>
                        <given-names>Laura</given-names>
                    </name>
                    <xref ref-type="aff" rid="r173302a2">2</xref>
                    <role>Co-referee</role>
                </contrib>
                <aff id="r173302a1">
                    <label>1</label>University of Duisburg-Essen, Essen, Germany</aff>
                <aff id="r173302a2">
                    <label>2</label>Institut of Medical Psychology and Behavioral Immunobiology, University of Duisburg-Essen, Essen, Germany</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>6</month>
                <year>2023</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2023 Schedlowski M and L&#x00fc;ckemann L</copyright-statement>
                <copyright-year>2023</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport173302" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.123975.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The present approach taken by Rueckels 
                <italic>et al.</italic> investigates in biochemical pathways generating conditioned immune enhancement. The authors showed, upregulation of genes related to Wnt/&#x03b2;-catenin signaling (Otx2, Spp1, Fzd6, Zic1), monoaminergic transporter Slc18a2, and opioid-inhibitory G-protein Gpr88 in the hypothalamus as well as downregulation of dopaminergic receptors, vasoactive intestinal peptide (Vip), and pro-melanin-concentrating hormone (Pmch). In the pituitary, they report upregulation of steroid synthesis and neurotransmission genes (GABAergic, cholinergic, opioid). Peripheral data from spleen showed upregulation of immunomodulatory genes, chemo-/cytokines, and neurotransmission genes (glutamatergic/cholinergic). Plasma analyses confirmed increased chemokine and ACTH levels. Based on their results the authors suggest the possibility of additional pathways, such as the cholinergic anti-inflammatory pathway (CAIP), which could serve as a connection between the brain and immune system. This pathway may play a role in regulating and finely adjusting the communication between these two systems.</p>
            <p> </p>
            <p> The authors have taken an interesting approach, revealing the hypothesis of an alternative pathways in addition to the classic HPA axis. However, there are a number of issues which have to be addressed before the manuscript can be indexed.</p>
            <p> &#x00a0; 
                <list list-type="bullet">
                    <list-item>
                        <p>The overall poor quality of language (huge amount of typos and grammar errors) makes the manuscript difficult to read and unfortunately suggests sloppiness in terms of preparation. The manuscript needs to be carefully checked for grammar and typos (by a native English speaker).</p>
                    </list-item>
                    <list-item>
                        <p>There is some inconsistency between the abstract and the discussion section. Quality of language changed throughout the manuscript. Please comment on this.</p>
                    </list-item>
                    <list-item>
                        <p>Even though the methodologies used in these studies appear to be appropriate, there are some issues that need discussion. All experiments are missing a &#x201c;negative control group&#x201d;, in order to exclude possible residual effects of PolyI:C in which animals are injected with Poly I:C during the learning phase and receive no treatment during recall D2. These results would confirm that the measured &#x201d;conditioning effects&#x201d; are not only &#x201c;residual effects&#x201d; of Poly I:C treatment, since the experimental design allows only one day retention interval between the learning and testing phases.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 1</italic>: &#x201d;connecting brain and immune system, modulating and finetuning communication between brain and immune system&#x201d; redundant; please rephrase.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 3: line 1-5 </italic>&#x201c;Pavlovian or classical conditioning is a phenomenon of associative learning&#x201d;, it is not clear why you make a difference between both conditioning paradigms. The reader might get confused, because both expressions describe the same paradigm.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 3 line 30-31: </italic>&#x201c;48h later, animals in the test group were re-exposed to camphor smell, only, to recall a behaviorally conditioned immune response in rats while animals in a positive control group receive a re-injection of poly I:C and animals in a negative control group receive smell conditioning, only, but no poly I:C re-injection&#x201d;. This sentence does not make sense. Please rephrase.</p>
                    </list-item>
                    <list-item>
                        <p>Methodology/terminology - animals in the negative control group did not receive smell conditioning (neither in the learning phase (saline injection) nor in the recall phase (re-exposure to camphor smell)).</p>
                    </list-item>
                    <list-item>
                        <p>Page 3, line 11: terminology - what does "work paradigms&#x201c; mean?</p>
                    </list-item>
                    <list-item>
                        <p>Page 3 Table 1: An additional timeline would be very helpful for the reader to understand the complex experiments.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 4 line 1</italic>: Please provide literature for this poly I:C dose (Sigma #P1530; ip; 1 mg/kg)</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 4 , line 8-9:</italic> Consistent terminology &#x2013; "for the isolation of [&#x2026;] serum to perform cytokine/chemokine array analysis&#x201c; throughout the rest of the paper, the term "plasma&#x201c; is used.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 4 line 16:</italic> Consistent terminology &#x2013; "days D-7 to D-1 [&#x2026;] as well as days D0 &#x2013; D3.&#x201c;</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 4, line 18</italic>: Comprehensibility - "Rats were presented with two drinking bottles for 24 h. One filled with plain drinking water and one filled with 2% (w/v) sucrose solution.&#x201c;</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 4 line 18:</italic> Methodology &#x2013; "rats were housed in groups of two&#x201c;. How was the SPT conducted to assess individual fluid consumption?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 4, line 38-39</italic>: Poor and vague language &#x2013; "Since we hypothesized that the conditioned response evoked during recall was mediated by the hypothalamus, [&#x2026;]&#x201c;.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 5, line 8</italic>: blank space between number and unit of measurement &#x2013; "1 &#x00b5;l of each primer&#x201c; "1 &#x00b5;l sterile water&#x201c;.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 5, line 22:</italic> Consistent terminology - "All statistical analyses were conducetd&#x201c; (consistent with heading).</p>
                    </list-item>
                    <list-item>
                        <p>All figures are of poor quality/resolution; please do not use screenshots from Excel or other programs for a scientific publication. For example: Figure 1-5 : Figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. Does each column represent one tissue? Tables, no figures.</p>
                    </list-item>
                    <list-item>
                        <p>Figure 6 &amp; 7; the reader has to guess the numbers and Abbreviations (Poor quality) Please correct. Figure 11: poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What do the grey columns mean?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 5, line 37</italic>: Terminology - "test vs. negative control ('test&#x2018;) (the term "test&#x201c; is already assigned to the conditioned experimental group. It is confusing to use this term again to describe the comparison between test vs. negative control).</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 5, line 43</italic>: Terminology - "positive vs. negative control ('positive&#x2018;) (the term "positive&#x201c; is already assigned to the positive group. It is confusing to use this term again to describe the comparison between positive vs. negative control)</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 6, line 1-5</italic>: Sentences throughout the paper are too long, complicated, including too many commas and are therefore incomprehensible.</p>
                    </list-item>
                    <list-item>
                        <p>Page 7, line 6-8: Sentences throughout the paper are too long, complicated, including too many commas and are therefore incomprehensible &#x2013; "in test. However, they were either strongly upregulated in positive or did not reach significance when comparing gene expression in test vs. negative control. While [&#x2026;]&#x201c;</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 8, line 2:</italic> Figures do not appear in chronological order throughout the text.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 11, line 20</italic>: consistent terminology, poor language &#x2013; "in test was only observed +3h post recall&#x201c;.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 11, Table 2</italic>: Comprehensibility - "including individual correlation per gene and correlation across all data points.&#x201c; Are there two different correlations? Which correlation is depicted in the table?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 13, Figure 6</italic>: Poor figure &#x2013; figure legend is missing, the figure is blurry, consistent terminology, alpha, gamma, etc. consistently depicted as symbols or written words.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 12, line 2</italic>: Comprehensibility &#x2013; "immediately post recall&#x201c; What does immediately mean? 0h?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 14, Figure 8</italic>: Comprehensibility &#x2013; the connection between "Viral proteins and &#x2013;nucleic acids; Poly I:C&#x201c; and the rest of the figure is missing, if the figure is intended to illustrate the pathways involved during recall of behaviorally conditioned immune response, it would make more sense to depict camphor smell instead of Poly I:C, figure legend is missing</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 14, line 1</italic>: Methodology/comprehensibility &#x2013; "in negative control with saline injection only.&#x201c; ("only&#x201c; is misleading, because animals received a saline injection and camphor smell).</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 15, Figure 10</italic>: Poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What doo the grey columns mean?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 15, Figure 11:</italic> Poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What does the grey columns mean?</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 15, Figure 12</italic>: groups do not really differ on D0.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 15, line 3</italic>: Consistent terminology &#x2013; "on D0 and D2, respectively)&#x201c;.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <italic>Page 17, line 19:</italic> Repetition/redundancy &#x2013; "further&#x201c;.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>No</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Partly</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Partly</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Partly</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Behavioral Immunobiology</p>
            <p>We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above.</p>
        </body>
        <sub-article article-type="response" id="comment10794-173302">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Rueckels</surname>
                            <given-names>Markus</given-names>
                        </name>
                        <aff>Lisa-Kolk-Stiftung, Germany</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>19</day>
                    <month>12</month>
                    <year>2023</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>
                        <underline>Response to reviewer&#x2019;s comments</underline>
                    </bold>
                </p>
                <p> </p>
                <p> Reviewers comments: purple</p>
                <p> Our comments: black</p>
                <p> 
                    <italic>Revised manuscript text of version 2 where applicable: blue/Italic</italic>
                </p>
                <p> </p>
                <p> 
                    <bold>Manfred Schedlowski </bold>
                </p>
                <p> University of Duisburg-Essen, Essen, Germany</p>
                <p> 
                    <bold>Laura Lu&#x0308;ckemann </bold>
                </p>
                <p> Institut of Medical Psychology and Behavioral Immunobiology, University of Duisburg-Essen, Essen, Germany</p>
                <p> The present approach taken by Rueckels 
                    <italic>et al. </italic>investigates in biochemical pathways generating conditioned immune enhancement. The authors showed, upregulation of genes related to Wnt/&#x03b2;- catenin signaling (Otx2, Spp1, Fzd6, Zic1), monoaminergic transporter Slc18a2, and opioid- inhibitory G-protein Gpr88 in the hypothalamus as well as downregulation of dopaminergic receptors, vasoactive intestinal peptide (Vip), and pro-melanin-concentrating hormone (Pmch). In the pituitary, they report upregulation of steroid synthesis and neurotransmission genes (GABAergic, cholinergic, opioid). Peripheral data from spleen showed upregulation of immunomodulatory genes, chemo-/cytokines, and neurotransmission genes (glutamatergic/cholinergic). Plasma analyses confirmed increased chemokine and ACTH levels. Based on their results the authors suggest the possibility of additional pathways, such as the cholinergic anti-inflammatory pathway (CAIP), which could serve as a connection between the brain and immune system. This pathway may play a role in regulating and finely adjusting the communication between these two systems</p>
                <p> The authors have taken an interesting approach, revealing the hypothesis of an alternative pathways in addition to the classic HPA axis. However, there are a number of issues which have to be addressed before the manuscript can be indexed. 
                    <list list-type="bullet">
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                            <p>The overall poor quality of language (huge amount of typos and grammar errors) makes the manuscript difficult to read and unfortunately suggests sloppiness in terms of preparation. The manuscript needs to be carefully checked for grammar and typos (by a native English speaker)</p>
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                    </list> </p>
                <p> The manuscript was carefully reviewed and revised by a native English speaker improving language and expression. Typos were carefully removed.</p>
                <p> &#x00a0; 
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                            <p>There is some inconsistency between the abstract and the discussion section. Quality of language changed throughout the manuscript. Please comment on this.</p>
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                    </list> </p>
                <p> The manuscript consists of parts independently written by the two authors. Language and expression were carefully revised and aligned.</p>
                <p> </p>
                <p> &#x00a0; 
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                            <p>Even though the methodologies used in these studies appear to be appropriate, there are some issues that need discussion. All experiments are missing a &#x201c;negative control group&#x201d;, in order to exclude possible residual effects of PolyI:C in which animals are injected with Poly I:C during the learning phase and receive no treatment during recall D2. These results would confirm that the measured &#x201d;conditioning effects&#x201d; are not only &#x201c;residual effects&#x201d; of Poly I:C treatment, since the experimental design allows only one day retention interval between the learning and testing phases.</p>
                        </list-item>
                    </list> The experiment could have been conducted in two ways regarding the design of the negative control: first, camphor smell and poly I:C on day 0 and saline, only, but no smell on day 2. Secondly, camphor smell and saline at both day 0 and day 2. The second option was chosen to exclude a conditioning effect of the injection procedure itself, potentially recalled through saline injection on day 2.</p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 1</italic>: &#x201d;connecting brain and immune system, modulating and finetuning communication between brain and immune system&#x201d; redundant; please rephrase.</p>
                        </list-item>
                    </list> </p>
                <p> The sentence was modified, new sentence:</p>
                <p> </p>
                <p> 
                    <italic>Our data set indicates that in addition to the classic HPA axis there could be additional pathways as e.g. the cholinergic anti-inflammatory pathway (CAIP), modulating and fine tuning communication between brain and immune system.</italic>
                </p>
                <p> </p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 3: line 1-5 </italic>&#x201c;Pavlovian or classical conditioning is a phenomenon of associative learning&#x201d;, it is not clear why you make a difference between both conditioning paradigms. The reader might get confused, because both expressions describe the same paradigm.</p>
                        </list-item>
                    </list> </p>
                <p> The sentence was modified, new sentence:</p>
                <p> </p>
                <p> 
                    <italic>Pavlovian, sometimes also called classical conditioning, is a phenomenon of associative learning, </italic>
                </p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 3 line 30-31: </italic>&#x201c;48h later, animals in the test group were re-exposed to camphor smell, only, to recall a behaviorally conditioned immune response in rats while animals in a positive control group receive a re-injection of poly I:C and animals in a negative control group receive smell conditioning, only, but no poly I:C re-injection&#x201d;. This sentence does not make sense. Please rephrase.</p>
                        </list-item>
                    </list> The sentence was modified, new sentence:</p>
                <p> </p>
                <p> 
                    <italic>Following that paradigm, all animals were first exposed to camphor smell and animals in the test and positive control group then injected with polyinosinic:polycytidylic acid (poly I:C), simulating a viral infection and inducing so-called sickness behavior, an animal model for depression-like behavior in rodents, while animals in the negative group were injected with saline. 48h later, animals in the test group were re-exposed to camphor smell, only, to recall the a behaviorally conditioned immune response in rats while animals in the positive control group receive a re-injection of poly I:C, only. Animals in the negative control group received smell re-exposure and an injection of saline.</italic>
                </p>
                <p> &#x00a0; 
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                            <p>Methodology/terminology - animals in the negative control group did not receive smell conditioning (neither in the learning phase (saline injection) nor in the recall phase (re- exposure to camphor smell)).</p>
                        </list-item>
                    </list> </p>
                <p> The experiment could have been conducted in two ways regarding the design of the negative control: first, camphor smell and poly I:C on day 0 and saline only day 2. Secondly, camphor smell and saline at day 0 and day 2. The second option was chosen to exclude all potential impact of the camphor smell alone.</p>
                <p> &#x00a0; 
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                            <p>Page 3, line 11: terminology - what does "work paradigms&#x201c; mean?</p>
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                <p> The sentence was modified, new sentence:</p>
                <p> </p>
                <p> 
                    <italic>by different researchers all over the world and current knowledge about this</italic>
                </p>
                <p>
                    <italic> phenomenon including potential pathways and experimental paradigms employed have been comprehensively summarized in a recent review by Hadamitzky et al</italic>
                </p>
                <p> &#x00a0; 
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                            <p>Page 3 Table 1: An additional timeline would be very helpful for the reader to understand</p>
                        </list-item>
                    </list> the complex experiments.</p>
                <p> </p>
                <p> </p>
                <p> A illustrative timeline was added below Table 1</p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 4 line 1</italic>: Please provide literature for this poly I:C dose (Sigma #P1530; ip; 1 mg/kg)</p>
                        </list-item>
                    </list> </p>
                <p> The reference below was added:</p>
                <p> </p>
                <p> 
                    <italic>Behav Pharmacol 2010 Jul;21(4):369-73. doi: 10.1097/FBP.0b013e32833c7ce5.</italic>
                </p>
                <p> Synthetic double-stranded RNA polyinosinic-polycytidylic acid augments morphine-induced conditioned place preference in rats</p>
                <p> 
                    <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/?term=Zhang+L&amp;cauthor_id=20555252">Lei Zhang</ext-link>
                    <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/20555252/#full-view-affiliation-1">
                        <sup>1</sup>
                    </ext-link>,&#x00a0;
                    <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/?term=Chen+S&amp;cauthor_id=20555252">Suqing Chen</ext-link>,&#x00a0;
                    <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/?term=Liu+H&amp;cauthor_id=20555252">Hongyu Liu</ext-link>,&#x00a0;
                    <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/?term=Lu+L&amp;cauthor_id=20555252">Lin Lu</ext-link>,&#x00a0;
                    <ext-link ext-link-type="uri" xlink:href="https://pubmed.ncbi.nlm.nih.gov/?term=Zhai+H&amp;cauthor_id=20555252">Haifeng Zhai</ext-link>
                </p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 4 , line 8-9: </italic>Consistent terminology &#x2013; "for the isolation of [...] serum to perform cytokine/chemokine array analysis&#x201c; throughout the rest of the paper, the term "plasma&#x201c; is used.</p>
                        </list-item>
                    </list> The sentence was corrected to plasma</p>
                <p> </p>
                <p> 
                    <bold>Page 4 line 16</bold>
                </p>
                <p> </p>
                <p> The sentence was modified:</p>
                <p> </p>
                <p> The SPT was carried out on D-7 to D-1 (run-in phase for baseline data) as well as days D0 - D3.</p>
                <p> &#x00a0; 
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                            <p>
                                <italic>page 4, line 18</italic>: Comprehensibility - "Rats were presented with two drinking bottles for 24 h.</p>
                        </list-item>
                    </list> One filled with plain drinking water and one filled with 2% (w/v) sucrose solution.&#x201c;</p>
                <p> </p>
                <p> 
                    <bold>The sentence was modified accordingly:</bold>
                </p>
                <p> </p>
                <p> Rats were presented with two drinking bottles, one with plain drinking water and one with 2% (w/v) sucrose solution for 24 h. The ratio of sweetened vs. plain water consumed during this time period was calculated, and results were expressed as %sucrose preference.</p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 4 line 18: </italic>Methodology &#x2013; "rats were housed in groups of two&#x201c;. How was the SPT conducted to assess individual fluid consumption?</p>
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                    </list> </p>
                <p> Average values per cage were assessed. The assessment of individual values was not conducted.</p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 4, line 38-39</italic>: Poor and vague language &#x2013; "Since we hypothesized that the conditioned response evoked during recall was mediated by the hypothalamus, [...]&#x201c;.</p>
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                    </list> </p>
                <p> </p>
                <p> The sentence was modified:</p>
                <p> 
                    <italic>As we hypothesized that the message post recall originated from hypothalamus, we additionally leveraged QIAGEN Ingenuity Pathway Analysis (QIAGEN IPA) for a more detailed analysis of hypothalamic genes. All genes identified with avg. regulation &gt;2fold in the hypothalamus of test animals were selected and subcellular network analysis was derived using IPA graphic interface. </italic>
                </p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 5, line 8</italic>: blank space between number and unit of measurement &#x2013; "1 &#x03bc;l of each primer&#x201c; "1 &#x03bc;l sterile water&#x201c;.</p>
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                    </list> </p>
                <p> Corrections were made for all units of measurement accordingly throughout the manuscript.</p>
                <p> &#x00a0; 
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                            <p>All figures are of poor quality/resolution; please do not use screenshots from Excel or other programs for a scientific publication. For example: Figure 1-5 : Figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. Does each column represent one tissue? Tables, no figures.</p>
                        </list-item>
                    </list> </p>
                <p> All figures including headings, legend and resolution of the figures were improved.</p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 5, line 22: </italic>Consistent terminology - "All statistical analyses were conducted&#x201c; (consistent with heading).</p>
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                    </list> </p>
                <p> The sentence was modified accordingly:</p>
                <p> 
                    <italic>All statistical analyses were conducted using RMA gene expression data for all available time points for test, positive and negative control, respectively, applying a two-tailed, unpaired, homoscedastic Student t-test (Microsoft&#x00ae; Excel&#x00ae; for Microsoft 365 MSO, version 2022) </italic> 
                    <list list-type="bullet">
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                            <p>Figure 6 &amp; 7; the reader has to guess the numbers and Abbreviations (Poor quality) Please correct. Figure 11: poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What do the grey columns mean?</p>
                        </list-item>
                    </list> </p>
                <p> We sent high resolution graphics to the editorial office to improve the quality of the figure resolution.</p>
                <p> </p>
                <p> The grey columns represent samples which could not be analyzed due to insufficient RNA quality.</p>
                <p> </p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 5, line 37</italic>: Terminology - "test vs. negative control ('test&#x2018;) (the term "test&#x201c; is already assigned to the conditioned experimental group. It is confusing to use this term again to describe the comparison between test vs. negative control).</p>
                        </list-item>
                    </list> The text was modified accordingly:</p>
                <p> 
                    <italic>Leveraging this approach to identify major upregulated genes in test vs. negative control across all tissues with a &gt;2-fold average regulation across all time points, we identified 12 and 10 upregulated transcripts in hypothalamus and pituitary, respectively (Figure 1). </italic> 
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                            <p>
                                <italic>Page 5, line 43</italic>: Terminology - "positive vs. negative control ('positive&#x2018;) (the term "positive&#x201c; is already assigned to the positive group. It is confusing to use this term again to describe the comparison between positive vs. negative control)</p>
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                    </list> </p>
                <p> The text was modified accordingly:</p>
                <p> </p>
                <p> 
                    <italic>We also excluded genes with a stronger upregulation in positive vs. negative control than test except when also showing a strong regulation across multiple other tissues as e.g. Cxcl11 or Cxcl13 and applied a similar approach to focus on the most promising candidate genes for downregulation (Figure 2).</italic> 
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                            <p>
                                <italic>Page 6, line 1-5</italic>: Sentences throughout the paper are too long, complicated, including too many commas and are therefore incomprehensible.</p>
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                    </list> </p>
                <p> The manuscript was reviewed and revised accordingly:</p>
                <p> 
                    <italic>In addition to this, we focused at up- and downregulation of neurotransmitter-associated genes such as receptors, transporters, and solute carriers, potentially involved in dopaminergic, serotonergic, opioid, cholinergic, glutamatergic, or GABAergic neurotransmission. We then selected for strong regulation across multiple tissues, even if not crossing an average &gt;2fold regulation across all timepoints analyzed and limited the time frame for this analysis to the first 6h post recall unless otherwise mentioned. </italic>
                </p>
                <p> &#x00a0; 
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                            <p>Page 7, line 6-8: Sentences throughout the paper are too long, complicated, including too many commas and are therefore incomprehensible &#x2013; "in test. However, they were either strongly upregulated in positive or did not reach significance when comparing gene expression in test vs. negative control. While [...]&#x201c;</p>
                        </list-item>
                    </list> The manuscript was reviewed and revised accordingly.&#x00a0;</p>
                <p> 
                    <italic>In addition to Slc18a2, Otx2 and Spp1, 8 additional genes were found upregulated &gt;2fold in hypothalamus. Of these, only Fzd6 and Zic1 showed a strong predominant upregulation in test vs. negative control, while Hapln4, Cxcl11, Fa2h, Tspan18, and Sh2b2 either showed a less strong regulation or were equally or even stronger regulated in positive vs. negative control.</italic> 
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                            <p>
                                <italic>Page 8, line 2: </italic>Figures do not appear in chronological order throughout the text.</p>
                        </list-item>
                    </list> Figures are inserted in the text by the editorial office 
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                            <p>&#x00a0;
                                <italic>Page 11, line 20</italic>: consistent terminology, poor language &#x2013; "in test was only observed +3h post recall&#x201c;.</p>
                        </list-item>
                    </list> The text was modified accordingly</p>
                <p> 
                    <italic>And similar to hypothalamus, also in spleen we saw a pattern of immediate regulation in positive vs. negative control of e.g. opioid-related transcripts as Pcsk1 or Gpr88, while the same upregulation in test vs. negative control was only observed 3h later. </italic>
                </p>
                <p> &#x00a0; 
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                            <p>&#x25cb; &#x00a0;
                                <italic>Page 11, Table 2</italic>: Comprehensibility - "including individual correlation per gene and correlation across all data points.&#x201c; Are there two different correlations? Which correlation is depicted in the table?</p>
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                    </list> The text was modified accordingly</p>
                <p> 
                    <italic>Table 2. List of 32 genes used for validation of Affymetrix rat genome chip data by qRT-PCR including individual correlation per gene and total correlation across all genes. </italic> 
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                            <p>&#x00a0;
                                <italic>Page 13, Figure 6</italic>: Poor figure &#x2013; figure legend is missing, the figure is blurry, consistent terminology, alpha, gamma, etc. consistently depicted as symbols or written words.</p>
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                    </list> Graphics resolution was improved. The use of abbreviations was changed to a uniform expression. &#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;&#x00a0;</p>
                <p> The text in figure 6 was modified accordingly:</p>
                <p> 
                    <italic>Figure 6. Heat map showing levels of IFN-&#x03b3;, ACTH, GRO/KC/CINC-1, MIP-1&#x03b1;, RANTES, TNF&#x03b1;, MCP-1 and IP-10 in the plasma of test, positive and negative control animals.</italic>
                    <italic> </italic>
                </p>
                <p> &#x00a0; 
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                                <italic>Page 12, line 2</italic>: Comprehensibility &#x2013; "immediately post recall&#x201c; What does immediately mean? 0h?</p>
                        </list-item>
                    </list> Yes, immediately means 0 h. 
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                            <p>&#x25cb; &#x00a0;
                                <italic>Page 14, Figure 8</italic>: Comprehensibility &#x2013; the connection between "Viral proteins and &#x2013;nucleic acids; Poly I:C&#x201c; and the rest of the figure is missing, if the figure is intended to illustrate the pathways involved during recall of behaviorally conditioned immune response, it would make more sense to depict camphor smell instead of Poly I:C, figure legend is missing</p>
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                    </list> Text for figure 8 was modified:</p>
                <p> 
                    <italic>Figure 8. Illustration showing the possible afferent (poly I:C, mimicking a viral infection) and&#x00a0; efferent (gene regulation in hypothalamus, pituitary, adrenal and spleen) pathways involved in the immune regulation during recall of the behaviorally conditioned immune response.</italic> 
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                                <italic>Page 14, line 1</italic>: Methodology/comprehensibility &#x2013; "in negative control with saline injection only.&#x201c; ("only&#x201c; is misleading, because animals received a saline injection and camphor smell).</p>
                        </list-item>
                    </list> &#x201c;, only&#x201d; was removed 
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                            <p>&#x00a0;
                                <italic>Page 15, Figure 10</italic>: Poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What do the grey columns mean?</p>
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                    </list> All figures including headings, description of columns and resolution of the figures were improved. 
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                            <p>&#x00a0;
                                <italic>Page 15, Figure 11: </italic>Poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What does the grey columns mean?</p>
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                    </list> All figures including headings, description of columns and resolution of the figures were improved. 
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                            <p>
                                <italic>Page 15, Figure 12</italic>: groups do not really differ on D0.</p>
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                    </list> Test and positive control showed an average reduction of 10.6% and 13.5% sucrose preference, respectively, versus 2.5% reduction in negative control on DO compared to D-1. As none of the groups reached significance (p &lt; 0.05), we didn&#x2019;t show any data</p>
                <p> &#x00a0; 
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                            <p>
                                <italic>Page 15, line 3</italic>: Consistent terminology &#x2013; "on D0 and D2, respectively)&#x201c;.</p>
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                    </list> All figures including headings, legends, description of columns and resolution of the figures were improved. 
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                            <p>
                                <italic>Page 17, line 19: </italic>Repetition/redundancy &#x2013; "further&#x201c;.</p>
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                    </list> The sentence was modified accordingly:</p>
                <p> 
                    <italic>Further to this hypothesis, Trinh et al. in 2020 demonstrated that stress, induced by systemic poly I:C injection, can increase plasma OPN, triggering the release of ACTH.</italic>
                </p>
                <p> </p>
                <p> &#x00a0; 
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                                <italic>&#x00a0;</italic>
                                <italic>4, line 38-39</italic>: Poor and vague language &#x2013; "Since we hypothesized that the conditioned response evoked during recall was mediated by the hypothalamus, [&#x2026;]&#x201c;.</p>
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                            <p>
                                <italic>Page 5, line 8</italic>: blank space between number and unit of measurement &#x2013; "1 &#x00b5;l of each primer&#x201c; "1 &#x00b5;l sterile water&#x201c;.</p>
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                            <p>
                                <italic>Page 5, line 22:</italic>&#x00a0;Consistent terminology - "All statistical analyses were conducetd&#x201c; (consistent with heading).</p>
                        </list-item>
                        <list-item>
                            <p>All figures are of poor quality/resolution; please do not use screenshots from Excel or other programs for a scientific publication. For example: Figure 1-5 : Figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. Does each column represent one tissue? Tables, no figures.</p>
                        </list-item>
                        <list-item>
                            <p>Figure 6 &amp; 7; the reader has to guess the numbers and Abbreviations (Poor quality) Please correct. Figure 11: poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What do the grey columns mean?</p>
                        </list-item>
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                            <p>
                                <italic>Page 5, line 37</italic>: Terminology - "test vs. negative control ('test&#x2018;) (the term "test&#x201c; is already assigned to the conditioned experimental group. It is confusing to use this term again to describe the comparison between test vs. negative control).</p>
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                            <p>
                                <italic>Page 5, line 43</italic>: Terminology - "positive vs. negative control ('positive&#x2018;) (the term "positive&#x201c; is already assigned to the positive group. It is confusing to use this term again to describe the comparison between positive vs. negative control)</p>
                        </list-item>
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                            <p>
                                <italic>Page 6, line 1-5</italic>: Sentences throughout the paper are too long, complicated, including too many commas and are therefore incomprehensible.</p>
                        </list-item>
                        <list-item>
                            <p>Page 7, line 6-8: Sentences throughout the paper are too long, complicated, including too many commas and are therefore incomprehensible &#x2013; "in test. However, they were either strongly upregulated in positive or did not reach significance when comparing gene expression in test vs. negative control. While [&#x2026;]&#x201c;</p>
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                            <p>
                                <italic>Page 8, line 2:</italic>&#x00a0;Figures do not appear in chronological order throughout the text.</p>
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                            <p>
                                <italic>Page 11, line 20</italic>: consistent terminology, poor language &#x2013; "in test was only observed +3h post recall&#x201c;.</p>
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                        <list-item>
                            <p>
                                <italic>Page 11, Table 2</italic>: Comprehensibility - "including individual correlation per gene and correlation across all data points.&#x201c; Are there two different correlations? Which correlation is depicted in the table?</p>
                        </list-item>
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                            <p>
                                <italic>Page 13, Figure 6</italic>: Poor figure &#x2013; figure legend is missing, the figure is blurry, consistent terminology, alpha, gamma, etc. consistently depicted as symbols or written words.</p>
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                            <p>
                                <italic>Page 12, line 2</italic>: Comprehensibility &#x2013; "immediately post recall&#x201c; What does immediately mean? 0h?</p>
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                            <p>
                                <italic>Page 14, Figure 8</italic>: Comprehensibility &#x2013; the connection between "Viral proteins and &#x2013;nucleic acids; Poly I:C&#x201c; and the rest of the figure is missing, if the figure is intended to illustrate the pathways involved during recall of behaviorally conditioned immune response, it would make more sense to depict camphor smell instead of Poly I:C, figure legend is missing</p>
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                            <p>
                                <italic>Page 14, line 1</italic>: Methodology/comprehensibility &#x2013; "in negative control with saline injection only.&#x201c; ("only&#x201c; is misleading, because animals received a saline injection and camphor smell).</p>
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                            <p>
                                <italic>Page 15, Figure 10</italic>: Poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What doo the grey columns mean?</p>
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                            <p>
                                <italic>Page 15, Figure 11:</italic>&#x00a0;Poor figure &#x2013; figure legend is missing, the figure is blurry, words are cut off, no proper headings describing the columns. What does the grey columns mean?</p>
                        </list-item>
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                            <p>
                                <italic>Page 15, Figure 12</italic>: groups do not really differ on D0.</p>
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                            <p>
                                <italic>Page 15, line 3</italic>: Consistent terminology &#x2013; "on D0 and D2, respectively)&#x201c;.</p>
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                            <p>
                                <italic>Page 17, line 19:</italic>&#x00a0;Repetition/redundancy &#x2013; "further&#x201c;.</p>
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                    </list> 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Is the work clearly and accurately presented and does it cite the current literature?</bold>
                            </p>
                        </list-item>
                    </list> No 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Is the study design appropriate and is the work technically sound?</bold>
                            </p>
                        </list-item>
                    </list> Partly 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Are sufficient details of methods and analysis provided to allow replication by others?</bold>
                            </p>
                        </list-item>
                    </list> Yes 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>If applicable, is the statistical analysis and its interpretation appropriate?</bold>
                            </p>
                        </list-item>
                    </list> Partly 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Are all the source data underlying the results available to ensure full reproducibility?</bold>
                            </p>
                        </list-item>
                    </list> Partly 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <bold>Are the conclusions drawn adequately supported by the results?</bold>
                            </p>
                        </list-item>
                    </list> Partly</p>
            </body>
        </sub-article>
    </sub-article>
</article>
