<?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="brief-report" 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.27287.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Brief Report</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>&#x2018;The long tail of Covid-19&#x2019; - The detection of a prolonged inflammatory response after a SARS-CoV-2 infection in asymptomatic and mildly affected patients</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Doykov</surname>
                        <given-names>Ivan</given-names>
                    </name>
                    <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/">Software</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>H&#x00e4;llqvist</surname>
                        <given-names>Jenny</given-names>
                    </name>
                    <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/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Gilmour</surname>
                        <given-names>Kimberly C.</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; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Grandjean</surname>
                        <given-names>Louis</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Mills</surname>
                        <given-names>Kevin</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <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/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0763-8288</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Heywood</surname>
                        <given-names>Wendy E.</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/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Supervision</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>
                    <uri content-type="orcid">https://orcid.org/0000-0003-2106-8760</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Translational Mass Spectrometry Research Group, University College London, London, UK</aff>
                <aff id="a2">
                    <label>2</label>Clinical and Movement Neurosciences, University College London, London, UK</aff>
                <aff id="a3">
                    <label>3</label>Great Ormond Street Hospital for Children, Great Ormond Street, London, WC1N 3JH, UK</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:wendy.heywood@ucl.ac.uk">wendy.heywood@ucl.ac.uk</email>
                </corresp>
                <fn id="fn1">
                    <p>*Equal contributors</p>
                </fn>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>8</day>
                <month>1</month>
                <year>2021</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2020</year>
            </pub-date>
            <volume>9</volume>
            <elocation-id>1349</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>22</day>
                    <month>12</month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Doykov I et al.</copyright-statement>
                <copyright-year>2021</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/9-1349/pdf"/>
            <abstract>
                <p>&#x2018;Long Covid&#x2019;, or medical complications associated with post SARS-CoV-2 infection, is a significant post-viral complication that is being more and more commonly reported in patients. Therefore, there is an increasing need to understand the disease mechanisms, identify drug targets and inflammatory processes associated with a SARS-CoV-2 infection. To address this need, we created a targeted mass spectrometry based multiplexed panel of 96 immune response associated proteins. We applied the multiplex assay to a cohort of serum samples from asymptomatic and moderately affected patients. All patients had tested positive for a SARS-CoV-2 infection by PCR and were determined to be subsequently positive for antibodies. Even 40-60 days post-viral infection, we observed a significant remaining inflammatory response in all patients. Proteins that were still affected were associated with the anti-inflammatory response and mitochondrial stress. This indicates that biochemical and inflammatory pathways within the body can remain perturbed long after SARS-CoV-2 infections have subsided even in asymptomatic and moderately affected patients.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Sars-CoV-2</kwd>
                <kwd>mass spectrometry</kwd>
                <kwd>inflammation</kwd>
                <kwd>biomarker</kwd>
                <kwd>proteomics</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100000765">
                    <funding-source>University College London</funding-source>
                </award-group>
                <award-group id="fund-2" xlink:href="http://dx.doi.org/10.13039/501100000272">
                    <funding-source>National Institute for Health Research</funding-source>
                </award-group>
                <award-group id="fund-3" xlink:href="http://dx.doi.org/10.13039/501100001282">
                    <funding-source>Great Ormond Street Institute of Child Health</funding-source>
                </award-group>
                <funding-statement>This study has been funded by the UCL Biological Mass Spectrometry Centre and the Great Ormond Street Hospital Biomedical Research Centre. Great Ormond Street Hospital NHS Foundation Trust and UCL Great Ormond Street Institute of Child Health is made possible by the NIHR Great Ormond Street Hospital Biomedical Research Centre. The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>Figure references have been corrected. Additional method information has been added. A brief mention is included of some of the pathways that the proteins in the multiplex assay are attributed to. An additional reference has been included and parts of the results section better clarified.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>As more and more people are recovering from SARS-CoV-2 infection, one of the growing concerns is the increasing reports of the post viral fatigue symptoms or &#x2018;long Covid&#x2019;. This phenomenon is defined as not recovering for several weeks or months following the start of symptoms and whereby patients present with chronic and recurrent fatigue for weeks and even many months after a SARS-CoV-2 infection
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>,
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. Understanding the effects and complications of &#x2018;long Covid&#x2019;, and then managing it, is the next challenge for public health services. Currently the UK is increasing its testing capacity for virus detection and antibody detection, but there still remains a gap in the understanding and diagnosis of long Covid.</p>
            <p>Work has been performed to characterise the inflammatory response to SARS-CoV-2 infection in relation to disease severity
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. There has been controversy as to whether severity is associated with a hyperinflammatory cytokine storm or failure of host protective immunity that results in unrestrained viral dissemination and organ injury. What has made addressing this question challenging has been the lack of diagnostic tools to evaluate immune function in Covid-19 infections. There are sets of simple but expensive immunoassay panels that are commercially available to look at known key inflammatory proteins such as cytokine panels; however, these only give information on known pathways and limit discovery of novel or less defined inflammatory responses. Targeted proteomics using mass spectrometry can also quantitate multiple diagnostic proteins without use of antibodies. Proteins can be easily added or removed from a panel thereby providing a custom tailored approach. This is ideal in addressing the need for evaluating less understood or defined immune response pathways. Novel assays for virus detection have been already developed using targeted mass spectrometry
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>,
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup> but there are no assays available yet to look at the symptoms for the diagnosis or understanding of &#x2018;long Covid&#x2019;.</p>
            <p>From a previous study (unpublished reports) we developed a custom targeted mass spectrometry based assay panel that looks at up to 96 pro- and anti-inflammatory associated proteins (
                <xref ref-type="fig" rid="f1">Figure 1a</xref>; see Table 1 on 
                <ext-link ext-link-type="uri" xlink:href="https://www.protocols.io/view/mrm-lc-ms-ms-assay-for-inflammatrory-associated-pr-bm4vk8w6">protocols.io</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>). Some of the pathways relevant to the proteins included in the multiplex include upstream regulation of cytokine and glucocorticoid expression; calpain activation; aging associated T-cell production and heat shock protein mediated immunostimulatory &#x2018;danger signals&#x2019; for the innate and adaptive immune systems. Our hypothesis was long Covid symptoms could be related to a lingering &#x2018;tail&#x2019; and an abnormal inflammatory response to an infection, by a type of virus the body has not seen before. We applied this assay to a cohort of samples taken from healthcare workers who had tested positive for SARS-CoV-2 infection by PCR and were either asymptomatic or had only a mild infection. Samples were taken at least 40&#x2013;45 days post infection and demonstrated a positive antibody test. We compared these with serum from healthcare workers with a negative antibody test, no reported infection and no positive PCR test.</p>
            <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                <label>Figure 1. </label>
                <caption>
                    <title>Multivariate analysis of post infection serum inflammation profile.</title>
                    <p>
                        <bold>a</bold>) Representative overlaid chromatogram of the multiplex inflammation panel. Protein identifiers indicated by name and followed by first three amino acids of the peptide. 
                        <bold>b</bold>) Principle component analysis score plot of 10 SARS-Cov-2 infected patients &gt;40 days post infection and 10 negative controls.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/32778/3efff8a8-2479-4dc5-b3e0-89f91f3838ad_figure1.gif"/>
            </fig>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Ethical statement</title>
                <p>Samples were identified from the Health Research Authority approved project Co-Stars (Great Ormond Street Hospital NHS Trust COSTARS, IRAS 282713, ClinicalTrials.gov Identifier: 
                    <ext-link ext-link-type="uri" xlink:href="https://clinicaltrials.gov/ct2/show/NCT04380896?term=NCT04380896&amp;draw=2&amp;rank=1">NCT04380896</ext-link>, registered May 8
                    <sup>th</sup> 2020) and all participants provided informed written consent.</p>
            </sec>
            <sec>
                <title>Samples</title>
                <p>A pilot group of 10 positive and 10 negative samples covering a broad age range was selected as proof of principle for this assay. The negative group was 60% female with an age-range of 21&#x2013;57, median 38 years. The positive group was 69% female, with an age range 31&#x2013;66 and median age of 44 years. Of the positive patients, seven were asymptomatic and six had loss of taste/smell or had abnormal taste/smell. None were admitted to hospital or reported other symptoms.</p>
            </sec>
            <sec>
                <title>Multiplex assay</title>
                <p>The detailed method for the multiplex assay is published and available at 
                    <ext-link ext-link-type="uri" xlink:href="https://www.protocols.io/view/mrm-lc-ms-ms-assay-for-inflammatrory-associated-pr-bm4vk8w6">protocols.io</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>
                    </sup>. Briefly, yeast enolase internal standard was added to serum samples. Proteins were precipitated and trypsin digested to peptides. Peptides were desalted, separated by reverse phase chromatography over a 16 min acetonitrile gradient and analysed on a Waters Aquity UPLC system coupled to a Xevo TQ-S mass spectrometer.</p>
            </sec>
            <sec>
                <title>Analysis</title>
                <p>Raw data was acquired using MassLynx v 4.1 in multiple reaction monitoring mode. Raw files were processed using Skyline v 19. Protein-Peptide sequences were obtained from www.uniprot.org and settings optimised using custom synthesised peptides (Genscript USA). Peak intensity data were normalised to a spiked internal standard protein yeast enolase (Sigma, UK).  Normalised data were exported to Microsoft Excel and analysed using SIMCA v 15 (Umetrics, Sweden) for multivariate analysis and Graphpad prism v 6 was used for statistical analysis.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <p>A representative overlaid chromatogram of the proteins included in the multiplex assay is show in 
                <xref ref-type="fig" rid="f1">Figure 1a</xref>. Multivariate analysis of all inflammatory proteins measured in the control and SARS-CoV-2 positive patients is shown in 
                <xref ref-type="fig" rid="f1">Figure1b</xref>. The score plot that shows the first two principal components indicates a clear separation of the positive and negative samples indicating the serum immune profile from people infected with SARS-CoV-2 is still significantly affected even 40 days post-infection. Univariate analysis revealed six proteins (
                <xref ref-type="fig" rid="f2">Figure 2</xref>) from the entire multiplex panel were significantly altered. The majority of these proteins are either anti-inflammatory or associated with the stress response. Two proteins originate from the mitochondria, peroxiredoxin 3 (PRDX3) and carbamoyl phosphate synthase (CPS1). PRDX3 is a known antioxidant. Its increase in serum of patients infected with SARS-CoV-2 is likely indicative of continued mitochondrial stress response. CPS1 is a major mitochondrial urea cycle enzyme in hepatocytes. Serum CPS1 originates from the bile duct and is usually rapidly cleared by peripheral blood mononuclear cells
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. It is possible that basal levels of CPS1 in serum are reduced in patients infected by SARS-CoV-2 due to increased circulation and activity of peripheral blood mononuclear cells.</p>
            <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                <label>Figure 2. </label>
                <caption>
                    <title>Altered proteins in post infection serum.</title>
                    <p>Proteins significantly affected (p&lt; 0.001) by non-parametric statistical analysis in the serum of &gt;40 day post SARS-Cov-2 infected healthcare workers **** p&lt;0.0001, ***p&lt;0.001, **p&lt;0.01, *p&lt;0.01.</p>
                </caption>
                <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/32778/3efff8a8-2479-4dc5-b3e0-89f91f3838ad_figure2.gif"/>
            </fig>
            <p>N-Myc downstream regulated gene 1 (NDRG1) is a cytosolic protein with many  biological functions
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. Its role in the immune response is undefined but deficiency of NDRG1 affects the differentiation process of macrophages
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup> and maturation of mast cells
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. Collagen triple helix repeat containing 1 (CTHRC1) is anti-inflammatory and promotes wound healing by recruiting M2 macrophages and regulating the TGF-&#x03b2; and Notch pathways
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>. This increase of CTHRC1 indicates tissue damage has occurred even in moderately affected patients.</p>
            <p>Cystatin C is a protease inhibitor and extracellular levels are used as a biomarker for disease prognosis in cancer, cardiovascular disease, and inflammatory lung disorders
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. In mice serum cystatin C is controlled by the anti-inflammatory cytokine IL10 of which increasing levels suppress cystatin C expression
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. A longitudinal study looking at immune mediators show IL10 levels are significantly elevated in only severe cases of SARS-CoV-2 infection at four weeks post infection and are not affected at four weeks in mild cases
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. This would corroborate with what we observe for cystatin C as the mild patients have increased cystatin C that is not being suppressed by higher IL10 levels. We also observe a slight reduction in serum progranulin. Progranulin plays a fundamental role in the immune response which is better defined within its role in neurodegenerative disorders
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup> but the relevance of serum progranulin is not fully understood. It appears to have a pro-inflammatory role in adipocytes in diabetes
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup> and an anti-inflammatory protective role in the vascular endothelium against inflammatory reactions
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusions</title>
            <p>Remarkably, even in patients who have suffered from an asymptomatic or mild SARS-CoV-2 infection, after 40 days post-infection they still exhibit a significantly raised group of biomarkers involved in inflammation and the stress response. This initial data using a custom designed inflammatory marker panel applied to mildly affected patients identifies potential drug targets, provides insight into the post infection inflammatory response. This approach using targeted proteomic technology has potential for application on further well-defined sample cohorts to understand what is abnormal about post infection inflammatory response in &#x2018;long covid&#x2019; patients.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>ProteomeXchange: Underlying mass spectrometry data on ProteomeXchange. Accession number 
                    <ext-link ext-link-type="uri" xlink:href="http://proteomecentral.proteomexchange.org/cgi/GetDataset?ID=PXD022159">PXD022159</ext-link>.</p>
                <p>Underlying mass spectrometry data is also available on PanoramaWeb at 
                    <ext-link ext-link-type="uri" xlink:href="https://panoramaweb.org/x1eZmn.url">https://panoramaweb.org/x1eZmn.url</ext-link>.</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgments</title>
            <p>We wish to thank Annabelle Lea Mai Immunology department Great Ormond Street Hospital for help with samples and the Peto Foundation for their continuing support.</p>
            <p>This work is partly funded by the NIHR GOSH BRC. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report76956">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.32778.r76956</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Skipp</surname>
                        <given-names>Paul</given-names>
                    </name>
                    <xref ref-type="aff" rid="r76956a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2995-2959</uri>
                </contrib>
                <aff id="r76956a1">
                    <label>1</label>Centre for Proteomics Research, University of Southampton, Southampton, UK</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>1</month>
                <year>2021</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2021 Skipp P</copyright-statement>
                <copyright-year>2021</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="relatedArticleReport76956" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.27287.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>No further comments.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</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>Precision Medicine, Proteomics, Clinical Proteomics, Data Science, Biochemistry</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.</p>
        </body>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report75167">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.30151.r75167</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Skipp</surname>
                        <given-names>Paul</given-names>
                    </name>
                    <xref ref-type="aff" rid="r75167a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-2995-2959</uri>
                </contrib>
                <aff id="r75167a1">
                    <label>1</label>Centre for Proteomics Research, University of Southampton, Southampton, UK</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>16</day>
                <month>12</month>
                <year>2020</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Skipp P</copyright-statement>
                <copyright-year>2020</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="relatedArticleReport75167" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.27287.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The authors present valuable preliminary data investigating inflammatory signatures in patients previously infected with SARS-CoV2, 40 days after a positive diagnosis. Using a comprehensive mass spectrometry based multiplexed panel of 96 proteins associated with immune response, the study provides clear evidence of perturbed biochemical and inflammatory signature(s) 40 days after infection, even in asymptomatic patients. This provides important findings and a very useful methodology for future follow-up studies in Long COVID-19 cohorts.</p>
            <p> </p>
            <p> Minor suggestion for improvement of the manuscript: 
                <list list-type="bullet">
                    <list-item>
                        <p>Please provide a reference(s) supporting the statement,"Work has been performed to characterise the inflammatory response to SARS-CoV2 infection in relation to disease severity".</p>
                    </list-item>
                    <list-item>
                        <p>Ultimately, the mass spectrometry based MRM assay used in this study also only measures a defined panel of targets and hence pathways. In this light, I would suggest expanding or amending the statement, "There are sets of simple but expensive immunoassay panels that are available to look at known key inflammatory proteins such as cytokine panels; however, these only give information on known pathways and limit discovery of novel or less defined inflammatory responses".</p>
                    </list-item>
                    <list-item>
                        <p>It would be useful to have a couple of sentences to give the reader an overview of the pathways that the 96 protein panel targets (i.e. NF-kB, MAPK, JAK-STAT, etc).</p>
                    </list-item>
                    <list-item>
                        <p>The study provides a very useful and valuable methodology and although documented on protocols.io, a more comprehensive description in the main body of the manuscript would be useful.</p>
                    </list-item>
                    <list-item>
                        <p>Please clarify Figure 1. Figure 1C does not exist. Was this figure a loading plot to show how strongly each characteristic influences a principal component?</p>
                    </list-item>
                    <list-item>
                        <p>In the manuscript the authors state the following: "Figure 2 shows the univariate analysis of six proteins from our panel that were significantly altered".&#x00a0;Please can you clarify in the text whether these were the only six proteins that were significantly altered or a selected subset.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Partly</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>Precision Medicine, Proteomics, Clinical Proteomics, Data Science, Biochemistry</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.</p>
        </body>
        <sub-article article-type="response" id="comment6214-75167">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Heywood</surname>
                            <given-names>Wendy</given-names>
                        </name>
                        <aff>UCL, UK</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>18</day>
                    <month>12</month>
                    <year>2020</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Many thanks for taking the time to review our brief report. We have made all the suggested corrections including rewording and expanding of some comments as well as added additional reference. We have tried to improve the method description but the journal requirements require the methods section to be as brief as possible.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report75166">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.30151.r75166</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>griffiths</surname>
                        <given-names>William J.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r75166a1">1</xref>
                    <xref ref-type="aff" rid="r75166a2">2</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4129-6616</uri>
                </contrib>
                <aff id="r75166a1">
                    <label>1</label>Institute of Life Science, Swansea University Medical School, Swansea, UK</aff>
                <aff id="r75166a2">
                    <label>2</label>Swansea University, Swansea, UK</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>7</day>
                <month>12</month>
                <year>2020</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 griffiths WJ</copyright-statement>
                <copyright-year>2020</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="relatedArticleReport75166" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.27287.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>This is an interesting study looking at a panel of inflammation-related protein signatures in a small cohort of patients 40+ days post infection. The authors see some changes in inflammatory proteins even this far after infection.</p>
            <p> </p>
            <p> The methods and underlying data are available at open access repositories.</p>
            <p> </p>
            <p> I just have a few minor suggestions: 
                <list list-type="order">
                    <list-item>
                        <p>Analysis section -&#x00a0;It would be good to read a few lines on how the data was normalised (i.e. normalisation of protein concentration).</p>
                    </list-item>
                    <list-item>
                        <p>Results -&#x00a0;I think the authors mean Figure 1a and 1b?</p>
                    </list-item>
                </list> In summary, a nice brief study with some interesting results.</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>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Mass spectrometry</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.</p>
        </body>
        <sub-article article-type="response" id="comment6212-75166">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Heywood</surname>
                            <given-names>Wendy</given-names>
                        </name>
                        <aff>UCL, UK</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>18</day>
                    <month>12</month>
                    <year>2020</year>
                </pub-date>
            </front-stub>
            <body>
                <p>Many thanks for reviewing our brief report. Additional information about how proteins were normalised has been included and the figure reference has been corrected in the results.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
