<?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.162356.1</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>Assessing neuroinflammation in vitro in a microglial model: advancing cannabinoid-based therapeutic insights</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Quintero</surname>
                        <given-names>Jose-Manuel</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-3994-109X</uri>
                    <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>Diaz</surname>
                        <given-names>Luis-Eduardo</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/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-9588-9935</uri>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Bustos</surname>
                        <given-names>Rosa Helena</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/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</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="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Leon</surname>
                        <given-names>Marta-Ximena</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</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/">Writing &#x2013; Original Draft Preparation</role>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Doctoral Programme of Biosciences, Universidad de La Sabana, Chia, Huila, 25001, Colombia</aff>
                <aff id="a2">
                    <label>2</label>Department of Clinical Pharmacology, Evidence-based Therapeutics Group, Universidad de la Sabana Facultad de Medicina, Ch&#x00ed;a, Cundinamarca, 25001, Colombia</aff>
                <aff id="a3">
                    <label>3</label>Facultad de Ingenier&#x00ed;a, Universidad de La Sabana, Universidad de La Sabana, Cundinamarca, Ch&#x00ed;a, 25001, Colombia</aff>
                <aff id="a4">
                    <label>4</label>Grupo Dolor y Cuidados Paliativos, Universidad de La Sabana, Chia, Cundinamarca, 25001, Colombia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:rosabucr@unisabana.edu.co">rosabucr@unisabana.edu.co</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>28</day>
                <month>3</month>
                <year>2025</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2025</year>
            </pub-date>
            <volume>14</volume>
            <elocation-id>346</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>18</day>
                    <month>3</month>
                    <year>2025</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 Quintero JM et al.</copyright-statement>
                <copyright-year>2025</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/14-346/pdf"/>
            <abstract>
                <sec>
                    <title>Background</title>
                    <p>Neuroinflammation plays a critical role in the progression of neurological disorders such as Alzheimer&#x2019;s and Parkinson&#x2019;s diseases, as well as chronic pain. It is characterized by elevated production of pro-inflammatory cytokines, including IL-6, and TNF-&#x03b1;, by microglia, the resident immune cells of the central nervous system. Emerging research highlights the involvement of the endocannabinoid system (ECS) in neuroinflammation, proposing cannabinoids as potential therapeutic agents owing to their immunosuppressive and anti-inflammatory properties.</p>
                </sec>
                <sec>
                    <title>Methods</title>
                    <p>This study used an in vitro model, specifically the BV-2 murine microglial cell line, to assess neuroinflammation. Cell viability was measured using the MTT assay, and cytokine production was quantified using advanced nanobiosensor technologies, including Surface Plasmon Resonance (SPR). Immunocytochemistry (ICC) was used to evaluate protein expression. Microglial cells were treated with varying concentrations of dexamethasone sodium phosphate (Dex-SP), cannabidiol (CBD), a full-spectrum tetrahydrocannabinol (FSE-THC) extract (70% THC), or a combination of the two at a 1:1 ratio (FSE-THC/CBD).</p>
                </sec>
                <sec>
                    <title>Results</title>
                    <p>The treatments did not affect BV-2 microglial cell viability. Nitric oxide (NO) production remained unaltered following treatment with Dex-SP, CBD, FSE-THC 70%, or FSE-THC:CBD in LPS-stimulated BV-2 microglia. However, CBD and FSE-THC:CBD significantly reduced TNF-&#x03b1; levels, whereas Dex-SP and CBD decreased IL-6 expression. Furthermore, Dex-SP, CBD, FSE-THC (70%), and FSE-THC:CBD modulated the activation of Bcl-2, Bax, TNF-&#x03b1;, IFN-&#x03b3;, NF-&#x03ba;B, and iNOS in concentration- and treatment-specific manners.</p>
                </sec>
                <sec>
                    <title>Conclusions</title>
                    <p>Dex-SPs demonstrate acute anti-inflammatory effects in LPS-stimulated BV2 microglial cells. Specific cannabinoids at particular concentrations exhibit comparable or superior efficacy in modulating key inflammatory mediators. These findings suggest the therapeutic potential of cannabinoids in neuroinflammation, and emphasize the need for further investigation to optimize their application.</p>
                </sec>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Neuroinflammation</kwd>
                <kwd>Cytokines</kwd>
                <kwd>Microglia</kwd>
                <kwd>Nanobiosensors</kwd>
                <kwd>Cannabinoids</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="https://doi.org/10.13039/501100010628">
                    <funding-source>Universidad de La Sabana</funding-source>
                    <award-id>MED-296-2020</award-id>
                </award-group>
                <funding-statement>This work was financially supported by Universidad de La Sabana MED-296-2020</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>
    </front>
    <body>
        <def-list>
            <title>Abbreviations</title>
            <def-item>
                <term id="G3">AEA</term>
                <def>
                    <p>Anandamide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G6">CB2R</term>
                <def>
                    <p>Cannabinoid Receptor Type 2</p>
                </def>
            </def-item>
            <def-item>
                <term id="G4">CBD</term>
                <def>
                    <p>Cannabidiol</p>
                </def>
            </def-item>
            <def-item>
                <term id="G5">CBG</term>
                <def>
                    <p>Cannabigerol</p>
                </def>
            </def-item>
            <def-item>
                <term id="G7">CMD</term>
                <def>
                    <p>Carboxymethyldextran</p>
                </def>
            </def-item>
            <def-item>
                <term id="G8">CNS</term>
                <def>
                    <p>Central Nervous System</p>
                </def>
            </def-item>
            <def-item>
                <term id="G9">COX-2</term>
                <def>
                    <p>Cyclooxygenase-2</p>
                </def>
            </def-item>
            <def-item>
                <term id="G10">Dex-SP
</term>
                <def>
                    <p>Dexamethasone Sodium Phosphate</p>
                </def>
            </def-item>
            <def-item>
                <term id="G12">DMEM</term>
                <def>
                    <p>Dulbecco&#x2019;s Modified Eagle&#x2019;s Medium</p>
                </def>
            </def-item>
            <def-item>
                <term id="G11">DMSO</term>
                <def>
                    <p>Dimethyl Sulfoxide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G13">ECS</term>
                <def>
                    <p>Endocannabinoid System</p>
                </def>
            </def-item>
            <def-item>
                <term id="G1">EDC</term>
                <def>
                    <p>1-Ethyl-3-(3-Dimethylaminopropyl)Carbodiimide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G14">FBS</term>
                <def>
                    <p>Fetal Bovine Serum</p>
                </def>
            </def-item>
            <def-item>
                <term id="G15">FSE</term>
                <def>
                    <p>Full-Spectrum Extract</p>
                </def>
            </def-item>
            <def-item>
                <term id="G16">GPR</term>
                <def>
                    <p>G Protein-Coupled Receptors</p>
                </def>
            </def-item>
            <def-item>
                <term id="G18">IFN</term>
                <def>
                    <p>Interferon Gamma</p>
                </def>
            </def-item>
            <def-item>
                <term id="G19">IL</term>
                <def>
                    <p>Interleukin</p>
                </def>
            </def-item>
            <def-item>
                <term id="G20">LPS</term>
                <def>
                    <p>Lipopolysaccharide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G23">NF-&#x03ba;B</term>
                <def>
                    <p>Nuclear Factor Kappa B Subunit 1</p>
                </def>
            </def-item>
            <def-item>
                <term id="G21">NGF</term>
                <def>
                    <p>Nerve Growth Factor</p>
                </def>
            </def-item>
            <def-item>
                <term id="G17">NHS</term>
                <def>
                    <p>Hydroxysuccinimide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G22">NO</term>
                <def>
                    <p>Nitric Oxide</p>
                </def>
            </def-item>
            <def-item>
                <term id="G25">PGE2</term>
                <def>
                    <p>Prostaglandin E2</p>
                </def>
            </def-item>
            <def-item>
                <term id="G24">PPAR-&#x0393;</term>
                <def>
                    <p>Peroxisome Proliferator-Activated Receptor Gamma</p>
                </def>
            </def-item>
            <def-item>
                <term id="G26">SD</term>
                <def>
                    <p>Standard Error</p>
                </def>
            </def-item>
            <def-item>
                <term id="G27">SPRi</term>
                <def>
                    <p>Surface Plasmon Resonance Image</p>
                </def>
            </def-item>
            <def-item>
                <term id="G28">THC</term>
                <def>
                    <p>&#x0394;
                        <sub>9</sub>-Tetrahydrocannabinol</p>
                </def>
            </def-item>
            <def-item>
                <term id="G30">TNF-&#x03b1;</term>
                <def>
                    <p>Tumor Necrosis Factor-Alpha</p>
                </def>
            </def-item>
            <def-item>
                <term id="G29">TRP</term>
                <def>
                    <p>Transient Potential</p>
                </def>
            </def-item>
            <def-item>
                <term id="G2">2-AG</term>
                <def>
                    <p>2-Arachidonoylglycerol</p>
                </def>
            </def-item>
        </def-list>
        <sec id="sec5" sec-type="intro">
            <title>1. Introduction</title>
            <p>A crucial factor in various neurological conditions, including neurodegenerative disorders like Alzheimer&#x2019;s and Parkinson&#x2019;s diseases, as well as chronic pain, is neuroinflammation. This process is marked by the release of pro-inflammatory cytokines, which significantly contribute to the development and progression of these disorders.
                <sup>
                    <xref ref-type="bibr" rid="ref1">1</xref>
                </sup>
            </p>
            <p>Central sensitization, a key mechanism in pain modulation, is significantly influenced by proinflammatory cytokines such as Tumor Necrosis Factor-alpha (TNF-&#x03b1;) and interleukin-6 (IL-6). TNF-&#x03b1; markedly enhances excitatory neurotransmission in the spinal cord. Concurrently, IL-1&#x03b2; and IL-6 contribute to the dysregulation of neurotransmitters in the pain-related neural pathways. This alteration in neurotransmitter balance promotes central sensitization and amplifies pain sensitivity, establishing these cytokines as crucial components in the development of pathological pain.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref3">3</xref>
                </sup> Microglia, the primary immune cells of the central nervous system (CNS), play a crucial role in the development of neuropathic pain. In recent decades, substantial evidence has highlighted the capacity of microglia to induce dysfunction in the nervous system following nerve injury, thus contributing to pain regulation.
                <sup>
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> These cells exert their influence by releasing cytokines such as TNF-a,
                <sup>
                    <xref ref-type="bibr" rid="ref5">5</xref>
                </sup> and IL-6,
                <sup>
                    <xref ref-type="bibr" rid="ref6">6</xref>,
                    <xref ref-type="bibr" rid="ref7">7</xref>
                </sup> which drive the process of central sensitization, a state in which CNS neurons become hyper-responsive to stimuli. Therefore, neuroinflammation is a critical factor in the transition from acute to chronic pain.
                <sup>
                    <xref ref-type="bibr" rid="ref2">2</xref>,
                    <xref ref-type="bibr" rid="ref4">4</xref>
                </sup> Cannabinoid receptor type 2 (CB2R) expressed on microglia has emerged as a promising target for therapies addressing pain related to neuroinflammatory conditions, such as chronic pain, owing to its role in mediating analgesia with minimal psychoactive effects. Modulation of CB2R has been shown to affect spinal microglial activity and offers potential for developing novel treatment strategies for neuroinflammation.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>
                </sup> Additionally, microglia, as key regulators of both the central nervous and immune systems, play a crucial role in orchestrating neuroinflammatory responses. Investigating these responses under well-controlled in vitro conditions is essential for elucidating their underlying mechanisms and exploring potential therapeutic strategies.</p>
            <p>The endocannabinoid system (ECS) modulates neuroinflammation and may offer potential therapeutic options for the treatment of chronic pain.
                <sup>
                    <xref ref-type="bibr" rid="ref9">9</xref>
                </sup> Two types of cannabinoid receptors have been characterized, CB1 and CB2. CB1 is expressed in neural cells and mediates the psychoactive activity of cannabinoids, whereas CB2 is abundant in the immune system and is involved in immunomodulation.
                <sup>
                    <xref ref-type="bibr" rid="ref10">10</xref>
                </sup> Cannabinoid derivatives interact with the ECS and have demonstrated immunosuppressive,
                <sup>
                    <xref ref-type="bibr" rid="ref11">11</xref>
                </sup> anti-inflammatory,
                <sup>
                    <xref ref-type="bibr" rid="ref12">12</xref>
                </sup> pro-apoptotic,
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>
                </sup> neuroprotective
                <sup>
                    <xref ref-type="bibr" rid="ref14">14</xref>
                </sup> and antitumor properties.
                <sup>
                    <xref ref-type="bibr" rid="ref13">13</xref>,
                    <xref ref-type="bibr" rid="ref15">15</xref>
                </sup> These properties make them promising candidates for the treatment.
                <sup>
                    <xref ref-type="bibr" rid="ref16">16</xref>
                </sup> Approximately 120 different cannabinoids have been identified in preparations from the Cannabis plant, including &#x0394;9-tetrahydrocannabinol (THC) and cannabidiol (CBD). THC is the main psychoactive constituent of cannabis, whereas CBD has no known psychoactive effects.
                <sup>
                    <xref ref-type="bibr" rid="ref17">17</xref>
                </sup>
            </p>
            <p>Both THC and CBD are widely utilized for therapeutic applications,
                <sup>
                    <xref ref-type="bibr" rid="ref18">18</xref>
                </sup> as they reduce cytokine production in human immune cells while inhibiting both T cell proliferation and effector functions.
                <sup>
                    <xref ref-type="bibr" rid="ref19">19</xref>
                </sup> When exposed to proinflammatory stimuli, microglia treated with THC or CBD exhibit decreased secretion of cytokines, chemokines, and neurotrophic factors.
                <sup>
                    <xref ref-type="bibr" rid="ref20">20</xref>
                </sup> Nevertheless, the precise molecular pathways mediating these cannabinoid effects remain incompletely understood.
                <sup>
                    <xref ref-type="bibr" rid="ref21">21</xref>
                </sup> The nuclear receptor peroxisome proliferator-activated receptor gamma (PPAR-&#x03b3;) is a key intracellular target that mediates cannabinoid-associated immunosuppression unrelated to the cannabinoid CB1 and CB2 receptors.
                <sup>
                    <xref ref-type="bibr" rid="ref22">22</xref>
                </sup> Other targets have also been suggested, including G protein-coupled receptors (GPR)55 and GPR18 as well as transient potential (TRP) channels.
                <sup>
                    <xref ref-type="bibr" rid="ref23">23</xref>
                </sup>
            </p>
            <p>The use of in vitro microglial models, including BV2 cells, facilitates systematic study of neuroinflammation in controlled and reproducible environments. These models enable the manipulation of experimental conditions, permitting the meticulous examination of cellular responses to diverse stimuli. However, accurate quantification of subtle shifts in cytokine secretion and other inflammatory markers within microglial models has historically presented challenges. Conventional techniques are often intricate and time intensive, potentially interrupting the temporal intricacies of the inflammatory process.
                <sup>
                    <xref ref-type="bibr" rid="ref24">24</xref>,
                    <xref ref-type="bibr" rid="ref25">25</xref>
                </sup> In the context of understanding neuroinflammation and its modulation, microglia exhibit a functional dichotomy, with their phenotype having the potential to either support neuronal maintenance or contribute to neuronal harm through low-grade inflammation and reduced neurotrophic support,
                <sup>
                    <xref ref-type="bibr" rid="ref26">26</xref>
                </sup> the application of cannabinoids adds a compelling dimension.
                <sup>
                    <xref ref-type="bibr" rid="ref8">8</xref>,
                    <xref ref-type="bibr" rid="ref27">27</xref>,
                    <xref ref-type="bibr" rid="ref28">28</xref>
                </sup> Active compounds from cannabis have demonstrated anti-inflammatory potential, stimulating interest in their effects on microglial responses.
                <sup>
                    <xref ref-type="bibr" rid="ref29">29</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref31">31</xref>
                </sup>
            </p>
            <p>This study aimed to evaluate the changes in the production of neuroinflammatory mediators in an in vitro model of microglial cells exposed to different concentrations of natural cannabinoids. A Surface Plasmon Resonance imaging (SPRi) nanobiosensor was used for the real-time evaluation of neuroinflammation biomarkers, while immunocytochemistry (ICC) was employed to assess the expression of proteins related to neuroinflammation. This article highlights the role of these techniques in advancing basic research and in developing potential therapeutic approaches for neuroinflammation-associated diseases.</p>
        </sec>
        <sec id="sec6" sec-type="methods">
            <title>2. Methods</title>
            <sec id="sec7">
                <title>2.1. Microglia cell culture</title>
                <p>The BV-2 murine microglial cell line (Accegen-ABC-TC212S) were cultured according to a modified protocol
                    <sup>
                        <xref ref-type="bibr" rid="ref32">32</xref>
                    </sup> at 37 &#x00b0;C in a humidified atmosphere of 95% air and 5% CO2 in high-glucose Dulbecco&#x2019;s modified Eagle&#x2019;s medium (DMEM, Lonza-12-604F) supplemented with 10% fetal bovine serum (FBS, PANBIOTECH-P30-1402). BV-2 microglial cells were used at passage numbers ranging from P3 to P5 to ensure phenotypic stability and responsiveness to the inflammatory stimuli. Cells were regularly monitored under a microscope to confirm morphological consistency and absence of spontaneous activation, which could indicate phenotypic drift at higher passages.</p>
            </sec>
            <sec id="sec8">
                <title>2.2. Culture media preparation and neuroinflammatory changes</title>
                <p>Plating medium was prepared according to a previously established protocol.
                    <sup>
                        <xref ref-type="bibr" rid="ref33">33</xref>
                    </sup> In summary, BV-2 cells were initially seeded in T75 flasks and maintained in DMEM supplemented with 10% fetal bovine serum (FBS). To prepare BV-2 conditioned medium, microglial cells were cultured in complete growth medium until reaching 70-80% confluence. Subsequently, the cells were transferred to a 12-well plate and incubated overnight before treatment with the indicated compounds. The treatments included Dexamethasone Sodium Phosphate (Dex-SP, Vitalis-0012145) at 4 &#x03bc;M and cannabis-derived products supplied by Clever Leaves in accordance with state regulations. These derivatives were (CBD-23050412) at 5 and 10 &#x03bc;M, full-spectrum extract (FSE-THC-PE-21-78) (THC 70%, CBD &lt;6%) at 5 and 10 &#x03bc;M, or a combination of FSE-THC and CBD at 5 and 10 &#x03bc;M. The cannabinoids were solubilized in ethanol to ensure proper dissolution before being introduced into the culture medium. All treatment and control conditions (with or without LPS) contained ethanol at a final concentration of 100 mM (equivalent to 460 mg/dL or 0.46%). To control potential vehicle effects, all experimental groups, including the untreated controls, received the same ethanol concentration.
                    <sup>
                        <xref ref-type="bibr" rid="ref34">34</xref>
                    </sup>
                </p>
                <p>Cells were exposed to these treatments for 2 h in a volume of 0.5 mL, followed by the addition of lipopolysaccharide (LPS, Sigma Aldrich-L2630-10MG) at 100 ng/mL for an additional 4 h. Exposure to LPS for 4 hours in BV-2 cells is a widely utilized protocol as it facilitates the induction of a robust and reproducible inflammatory response, minimizes cytotoxic effects, and enables the investigation of early mechanisms of neuroinflammation.
                    <sup>
                        <xref ref-type="bibr" rid="ref35">35</xref>,
                        <xref ref-type="bibr" rid="ref36">36</xref>
                    </sup> This methodology aligns with established scientific literature and provides an optimal balance between the induction of inflammation and preservation of cellular viability.
                    <sup>
                        <xref ref-type="bibr" rid="ref37">37</xref>,
                        <xref ref-type="bibr" rid="ref38">38</xref>
                    </sup> After 6 h, aliquots of the medium were collected and stored at 4 &#x00b0;C until further analysis. The cells were fixed with paraformaldehyde for subsequent cytochemical analysis.</p>
            </sec>
            <sec id="sec9">
                <title>2.3. MTT assay</title>
                <p>BV-2 cell viability was evaluated using an MTT reduction assay (Life Technologies-1721505).
                    <sup>
                        <xref ref-type="bibr" rid="ref39">39</xref>
                    </sup> The cells (1 &#x00d7; 10
                    <sup>4</sup> cells/well) were seeded in 96-well plates and incubated for 24 h. The cells were then treated for 6 h with Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC (70%) (5 and 10 &#x03bc;M), or a combination of FSE-THC and CBD (5 and 10 &#x03bc;M). After treatment, 100 &#x03bc;L MTT solution (5 mg/mL) was added to each well and incubated for 4 h. Subsequently, 50 &#x03bc;L of dimethyl sulfoxide (DMSO) was added, and absorbance was measured for each well was recorded at 570 nm wavelength using a Bio-Rad Model 630 microplate reader (Bio-Rad Laboratories, Richmond, CA, USA).</p>
            </sec>
            <sec id="sec10">
                <title>2.4. Nitric oxide quantification</title>
                <p>In 96-well plates, cells were treated with stimuli, and the production of nitric oxide (NO) was evaluated by measuring NO levels in the medium using the Griess reaction (R&amp;D Systems-KGE0001) following a previously described method.
                    <sup>
                        <xref ref-type="bibr" rid="ref40">40</xref>
                    </sup> The process involved combining 50 &#x03bc;l of sample aliquots with an equal volume of Griess reagent (1% sulfanilamide, 0.1% naphthylethylene diamine dihydrochloride, and 2% phosphoric acid) in a 96-well plate. A microplate reader was used to measure absorbance at 550 nm. To determine NO2 concentrations, NaNO2 was used as the standard.</p>
            </sec>
            <sec id="sec11">
                <title>2.5. Immunohistochemistry</title>
                <p>The cells were fixed with 4% (v/v) formaldehyde in PBS for 20 minutes at room temperature, washed twice with PBS, and stored at 4&#x00b0;C. Endogenous peroxidase activity was inhibited and a blocking solution prepared with PBS supplemented with 5% BSA was used to minimize non-specific binding. Samples were then incubated overnight at 4&#x00b0;C with primary antibodies (Invitrogen), including Bcl-2 (MAB8272, 1:200), Bax (AF820, 1:200), TNF-&#x03b1; (52B83, 1:200), IFN-&#x03b3; (JM10-10, 1:200), RelA/NF-&#x03ba;B p65 (MAB5078, 1:200), and iNOS (NB300-605, 1:200), and then washed with PBS. VisUCyte&#x2122; HRP Polymer was applied for 30 min at room temperature, and after additional PBS washes, DAB substrate was added, followed by incubation for 5 min. The reaction was terminated by rinsing it with distilled water. Staining intensity was evaluated under a light microscope, with a minimum of four representative images captured per sample and analyzed using ImageJ 1.54d software. The selected images represented homogeneous areas free of artifacts within each sample, ensuring comparability across experimental groups. Four representative fields were chosen per sample, covering different regions of interest while avoiding overlap to reflect intramural variability. The images were processed in ImageJ 1.54d, converted to grayscale, and analyzed using the auto-threshold tool to identify and quantify the positive areas corresponding to DAB staining. The quantified parameters included the total positive area (in pixels) and the mean pixel intensity within these areas, which were used to calculate the values presented in 
                    <xref ref-type="table" rid="T1">
Table 1</xref>.</p>
                <table-wrap id="T1" orientation="portrait" position="float">
                    <label>
Table 1. </label>
                    <caption>
                        <title>ICC Analysis of Apoptotic and Inflammatory Marker Expression in BV-2 Microglial Cells with Illustrative Images.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="2" valign="top"/>
                                <th align="left" colspan="1" rowspan="2" valign="top">Dex-SP (%)</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">CBD</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">FSE-THC 70%</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">FSE-THC:CBD</th>
                            </tr>
                            <tr>
                                <th align="left" colspan="2" rowspan="1" valign="top">(%)</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">(%)</th>
                                <th align="left" colspan="2" rowspan="1" valign="top">(%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td colspan="1" rowspan="1"/>
                                <td align="left" colspan="1" rowspan="1" valign="middle">4&#x03bc;M</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5&#x03bc;M</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10&#x03bc;M</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5&#x03bc;M</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10&#x03bc;M</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">5&#x03bc;M</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">10&#x03bc;M</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Bcl-2</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-22,66</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-18,57</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-19,28</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-14,42</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-24,64</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-7,24</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-16,54</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>Bax</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-16,71</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-12,43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-12,80</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-8,00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-22,66</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-8,00</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>0,84</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>TNF-&#x03b1;</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-21,39</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-18,69</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-3,98</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>-11,36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-23,07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-9,21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-8,80</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>IFN-&#x03b3;</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-4,95</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-2,60</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn2">**</xref>5,40</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">3,36</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>-21,43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-0,21</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">0,86</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>NF- &#x03ba;B</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-14,43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,78</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2,43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>8,37</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">2,91</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">14,07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>7,56</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <bold>iNOS</bold>
</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">1,97</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1,07</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>21,43</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>9,90</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">-1,62</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">6,06</td>
                                <td align="left" colspan="1" rowspan="1" valign="middle">
                                    <xref ref-type="table-fn" rid="tfn1">***</xref>9,02</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="8" rowspan="1" valign="middle">
                                    <graphic id="gr5" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/178547/d06a8e1f-6019-44de-99f7-bc719c8a67fe_figure5.gif"/>
</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <p>ICC analysis of the differences in inflammatory mediator expression between LPS exposure and treatment. Data are expressed as the percentage change in apoptotic (Bcl-2, Bax) and inflammatory (TNF-&#x03b1;, IFN-&#x03b3;, NF-&#x03ba;B, iNOS) marker expression following treatment with Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC 70% (5 and 10 &#x03bc;M), and FSE-THC:CBD (5 and 10 &#x03bc;M) in BV-2 microglial cells. Negative values indicate a reduction, whereas positive values indicate an increase relative to the LPS-treated control. Data are presented as mean &#x00b1; SD,</p>
                        <p>Representative immunocytochemistry (ICC) images illustrating these differences are provided in the supplementary figures.</p>
                        <fn-group content-type="footnotes">
                            <fn id="tfn1">
                                <label>***</label>
                                <p>

                                    <italic toggle="yes">p</italic> &lt; 0.01.</p>
                            </fn>
                            <fn id="tfn2">
                                <label>**</label>
                                <p>

                                    <italic toggle="yes">p</italic> &lt;0.05.</p>
                            </fn>
                        </fn-group>
                    </table-wrap-foot>
                </table-wrap>
                <p>The selection of the time point for analysis was based on prior literature demonstrating that the key endpoints of interest undergo significant changes within this timeframe under similar experimental conditions.
                    <sup>
                        <xref ref-type="bibr" rid="ref41">41</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref43">43</xref>
                    </sup> Furthermore, preliminary experiments conducted in our laboratory confirmed that these endpoints were both detectable and biologically relevant, supporting our decision to perform analyses at this specific time point. In models of injury and neuroinflammation, microglia detect damage-associated or pathogen-associated signals and become activated within 30 min to a few hours, further justifying the chosen timeframe for analysis. While some studies have reported the induction of these endpoints at later time points,
                    <sup>
                        <xref ref-type="bibr" rid="ref44">44</xref>
                    </sup> previous findings indicate that relevant molecular and cellular changes occur within the selected timeframe, ensuring the validity of our approach. Although full time-course optimization was not performed in this study, our experimental design was guided by well-established literature and prior observations in our laboratory.</p>
            </sec>
            <sec id="sec12">
                <title>2.6. Biosensor system</title>
                <p>Cytokine levels were measured using a nanobiosensor-based detection system that allows real-time, label-free quantification with high specificity and minimal sample volume requirements. This technology was selected over conventional methods, such as ELISA, because of its ability to capture dynamic cytokine secretion patterns and its faster processing time, reducing the need for extensive sample handling.
                    <sup>
                        <xref ref-type="bibr" rid="ref45">45</xref>
                    </sup> The nanobiosensor was calibrated using standard cytokine solutions within the expected physiological range for our experimental conditions to ensure the accurate detection of relevant concentrations. Measurements were performed according to the manufacturer&#x2019;s specifications, with controls included to verify assay performance.</p>
                <p>Real-time biomarker quantification was achieved using an OpenPlex system equipped with SPRi technology and a microfluidic setup, which was maintained at 25 &#x00b0;C for all the experiments. This setup facilitated direct interactions between recombinant proteins and monoclonal antibodies against TNF-&#x03b1; (Invitrogen-AMC3012), and IL-6, which were sourced from Abcam and Thermo Fisher Scientific (Waltham, MA, USA), respectively, along with other essential reagents from XanTec Bioanalytics (D&#x00fc;sseldorf, Germany), GE Healthcare (Marlborough, MA 01752 USA), and Sigma-Aldrich (Taufkirchen Germany). The detection method was based on changes in the refractive index as the analytes were bound to their respective ligands,
                    <sup>
                        <xref ref-type="bibr" rid="ref46">46</xref>
                    </sup> quantified in real time, and represented graphically in sensorgrams. Data were analyzed using OriginPro 8.5 (Northampton, MA 01060 USA (A free trial version of Origin/OriginPro is available at 
                    <ext-link ext-link-type="uri" xlink:href="https://www.originlab.com/demodownload.aspx">https://www.originlab.com/demodownload.aspx</ext-link>), Excel (LibreOffice Calc is an open-access software that provides functionalities similar to Excel. It is available at 
                    <ext-link ext-link-type="uri" xlink:href="https://www.libreoffice.org/download/download/">https://www.libreoffice.org/download/download/</ext-link>), and Python, with carefully controlled parameters such as flow rate and protein concentrations, and standard curves were established using serial antibody dilutions ranging from 1000&#x2013;20,000 ng/mL. To ensure specificity and repeatability, the culture samples were thawed, diluted, and injected in triplicate, with real-time monitoring of dissociation and a post-analysis regeneration step using a regeneration solution (glycine, pH 2.0) to maintain the integrity of the sensor chips.</p>
                <p>In the SPR assays in this study, immobilization of TNF-&#x03b1; and IL-6 monoclonal antibodies was critical, requiring careful consideration of ligand properties, such as isoelectric point, molecular weight, and amino acid sequence, to optimize conditions for attachment to the carboxymethyl dextran (CMD) 200 sensor surface.
                    <sup>
                        <xref ref-type="bibr" rid="ref47">47</xref>,
                        <xref ref-type="bibr" rid="ref48">48</xref>
                    </sup> Amine-based immobilization, utilizing an N-hydroxysuccinimide (NHS)/1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) mixture to activate a carboxymethyl-dextran layer on the sensor chip, enables a strong covalent bond between the sensor surface and the protein, ensuring high sensitivity and specificity. After activation, the recombinant proteins were injected until the desired immobilization level was reached, with excess active sites blocked using ethanolamine. Regeneration of the surface, which is crucial for reusing the sensor chip, involves injecting a 10 mM glycine hydrochloride solution with 0.00005% sodium dodecyl sulfate (SDS) at a flow rate of 60 &#x03bc;L/min to ensure over 80% recovery, maintain surface integrity, and allow for consistent, repeatable measurements.
                    <sup>
                        <xref ref-type="bibr" rid="ref49">49</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref51">51</xref>
                    </sup>
                </p>
                <p>Cytokine levels were assessed by measuring the levels of IL-6 and TNF-&#x03b1;, two well-established pro-inflammatory mediators in microglial activation and neuroinflammation. While IL-1&#x03b2; is also a key inflammatory cytokine, the present study focused on IL-6 and TNF-&#x03b1; because of their rapid and robust induction in response to inflammatory stimuli, making them reliable indicators of early microglial activation in this model.
                    <sup>
                        <xref ref-type="bibr" rid="ref52">52</xref>,
                        <xref ref-type="bibr" rid="ref53">53</xref>
                    </sup>
                </p>
            </sec>
            <sec id="sec13">
                <title>2.7. Statistical analysis</title>
                <p>The findings are displayed as average values accompanied by standard deviations (SD), derived from three separate trials. The Shapiro-Wilk test was used to evaluate normality. The majority of groups satisfied the criteria for normal distribution (p &gt; 0.05), one of the experimental groups did not (p &lt; 0.05). Given this, along with the heterogeneity of variances across groups and the presence of nonlinear relationships, non-parametric statistical tests were employed. Comparisons were performed between all experimental groups (Dex-SP, CBD, FSE-THC 70%, and FSE-THC:CBD) and the control (with and without LPS stimulation), as well as between treatment groups. The Kruskal&#x2013;Wallis test was used to assess the overall group differences. Subsequently, Dunn&#x2019;s post hoc test with Bonferroni correction was implemented for pairwise comparisons, adjusting p-values to mitigate the Type I error risk. Statistical significance was set at p &lt; 0.05. All analyses were conducted using Python (version 3.12) with the SciPy (version 1.11.2) and Scikit-Posthoc (version 0.7.0) libraries.</p>
            </sec>
        </sec>
        <sec id="sec14" sec-type="results">
            <title>3. Results</title>
            <sec id="sec15">
                <title>3.1. Effects of DEX-SP, CBD, FSE-THC 70%, and FSE-THC:CBD on BV2 cell viability</title>
                <p>In the study of cytotoxic effects on BV2 microglial cells, cell viability was evaluated using the MTT assay. After a 2 h incubation with LPS, pretreatment with Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC 70% (5 and 10 &#x03bc;M), and FSE-THC:CBD (5 and 10 &#x03bc;M), followed by stimulation with LPS 100 ng/ml for 4 h, did not reduce the viability of the BV-2 microglia (
                    <xref ref-type="fig" rid="f1">
Figure 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>
Figure 1. </label>
                    <caption>
                        <title>Effects of Dex-SP, CBD, and FSE-THC on BV-2 Microglial Cell Viability via MTT Assay.</title>
                        <p>The MTT assay was used to evaluate BV-2 microglial cell viability after 2 h of LPS incubation and 4 h of exposure to various treatments. These treatments included Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC 70% (5 and 10 &#x03bc;M), and a combination of THC and CBD (50% FSE-THC, standardized to 70% THC, and CBD, 5 and 10 &#x03bc;M). The results indicated that none of the administered treatments had a significant effect on cell viability. The findings were based on three separate experiments, with each condition having six technical replicates. The results were based on three independent experiments, and each condition was tested in six technical replicates. Data are presented as mean &#x00b1; SD, !!! 
                            <italic toggle="yes">p</italic> &lt; 0.05 versus vehicle, ** 
                            <italic toggle="yes">p</italic> &lt; 0.05 versus LPS + Vehicle, *** 
                            <italic toggle="yes">p</italic> &lt; 0.01 versus LPS + Vehicle.</p>
                    </caption>
                    <graphic id="gr1" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/178547/d06a8e1f-6019-44de-99f7-bc719c8a67fe_figure1.gif"/>
                </fig>
            </sec>
            <sec id="sec16">
                <title>3.2. The Dex-SP, CBD, FSE-THC 70% and FSE-THC:CBD Do Not Reduced Nitric Oxide (NO) Production in LPS-Stimulated BV-2 Microglia</title>
                <p>Studies assessing the impact of Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC 70% (5 and 10 &#x03bc;M), and FSE-THC:CBD (5 and 10 &#x03bc;M) on nitric oxide (NO) release showed that when BV-2 microglia were exposed to LPS (100 ng/mL) for 4 h, there was no increase in NO production compared to unstimulated cells (
                    <italic toggle="yes">p</italic> &gt; 0.05). (
                    <xref ref-type="fig" rid="f2">
Figure 2</xref>).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>
Figure 2. </label>
                    <caption>
                        <title>Effects of Dex-SP, CBD, and FSE-THC on NO Production in LPS-Stimulated BV-2 Microglial Cells.</title>
                        <p>Interactions of Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC 70% (THC) (5 and 10 &#x03bc;M), and FSE-THC:CBD (a compound containing 50% FSE-THC, standardized to 70%, and CBD) at 5 and 10 &#x03bc;M concentrations in BV-2 microglial cells. Nitric oxide (NO) production was assessed after a 4 h treatment with LPS (100 ng/mL). None of the tested concentrations of Dex-SP or cannabinoids induced significant NO production. The results were based on three independent experiments, and each condition was tested in six technical replicates. Data are presented as mean &#x00b1; SD, !!! 
                            <italic toggle="yes">p</italic> &lt; 0.05 versus vehicle, ** 
                            <italic toggle="yes">p</italic> &lt; 0.05 versus LPS + Vehicle, *** 
                            <italic toggle="yes">p</italic> &lt; 0.01 versus LPS + Vehicle.</p>
                    </caption>
                    <graphic id="gr2" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/178547/d06a8e1f-6019-44de-99f7-bc719c8a67fe_figure2.gif"/>
                </fig>
            </sec>
            <sec id="sec17">
                <title>3.3. CBD and FSE-THC:CBD reduced TNF-&#x03b1; production, whereas Dex-SP and CBD decreased IL-6 levels</title>
                <p>The LPS-induced (100 ng/mL) increase in TNF-&#x03b1; release by BV-2 microglia was significantly attenuated by CBD (5 and 10 &#x03bc;M) and FSE-THC:CBD (5 and 10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0.001). In contrast, Dex-SP (4 &#x03bc;M) and FSE-THC 70% (5 and 10 &#x03bc;M) did not elicit a significant reduction (
                    <xref ref-type="fig" rid="f3">
Figure 3A</xref>). Similarly, the LPS-induced increase in IL-6 production was significantly diminished by Dex-SP (4 &#x03bc;M) (p &lt; 0.05) and CBD 10 &#x03bc;M (
                    <italic toggle="yes">p</italic> &lt; 0.01), whereas other cannabinoids did not induce a significant effect (
                    <xref ref-type="fig" rid="f3">
Figure 3B</xref>).</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>
Figure 3. </label>
                    <caption>
                        <title>Dex-SP and Cannabinoids Modulate LPS-Induced TNF-&#x03b1; and IL-6 Production in BV-2 Microglial Cells.</title>
                        <p>Effects of Dex-SP and cannabinoids on LPS-induced TNF-&#x03b1; and IL-6 production in BV-2 microglial cells. TNF-&#x03b1; and IL-6 levels were measured 4 h after LPS stimulation (100 ng/mL) and treatment with Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC 70% (5 and 10 &#x03bc;M), and FSE-THC:CBD (5 and 10 &#x03bc;M). (A) CBD (5 and 10 &#x03bc;M) and FSE-THC:CBD (5 and 10 &#x03bc;M) significantly reduced TNF-&#x03b1; production (
                            <italic toggle="yes">p</italic> &lt; 0.01). In contrast, Dex-SP (4 &#x03bc;M) and FSE-THC 70% (5 and 10 &#x03bc;M) did not inhibit TNF-&#x03b1; production. (B) IL-6 production was significantly reduced by Dex-SP (4 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.05) and CBD (10 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.01). The other cannabinoid treatments did not result in statistically significant reductions (
                            <italic toggle="yes">p</italic> &gt; 0.05). The results were based on three independent experiments, and each condition was tested in six technical replicates. Data are presented as mean &#x00b1; SD, !!! 
                            <italic toggle="yes">p</italic> &lt; 0.05 versus vehicle, ** 
                            <italic toggle="yes">p</italic> &lt; 0.05 versus LPS + Vehicle, *** 
                            <italic toggle="yes">p</italic> &lt; 0.01 versus LPS + Vehicle.</p>
                    </caption>
                    <graphic id="gr3" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/178547/d06a8e1f-6019-44de-99f7-bc719c8a67fe_figure3.gif"/>
                </fig>
            </sec>
            <sec id="sec18">
                <title>3.4. Dex-SP, CBD, FSE-THC (70%), and FSE-THC:CBD differentially attenuated Bcl-2, Bax, TNF-&#x03b1;, IFN-&#x03b3;, NF-&#x03ba;B, and iNOS activation in LPS-stimulated BV-2 Microglia in a Concentration-Dependent Manner</title>
                <p>The results of the immunocytochemistry (ICC) experiments were used to evaluate the effects of Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), FSE-THC 70% (5 and 10 &#x03bc;M) and FSE-THC:CBD (5 and 10 &#x03bc;M). There was a significant reduction in anti-apoptotic Bcl-2 with Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), and FSE-THC 70% (10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01) (
                    <xref ref-type="fig" rid="f4">
Figure 4, Panel A</xref>). FSE-THC 70% (10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01), and FSE-THC:CBD (10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,05) treatments decreased the levels of pro-apoptotic Bax (
                    <xref ref-type="fig" rid="f4">
Figure 4, Panel B</xref>). Dex-SP (4 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01), CBD (5 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01), FSE-THC 70% (5 &#x03bc;M) (
                    <italic toggle="yes">p</italic>
 &lt; 0,05) and FSE-THC 70% (10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01), treatments were found to significantly decrease TNF-&#x03b1; levels, indicating their anti-inflammatory properties (
                    <xref ref-type="fig" rid="f4">
Figure 4, Panel C</xref>). The response of Interferon Gamma (IFN)-&#x03b3; expression to treatments varied, with CBD (10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,05) minor increases or CBD (5 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01) minor decreases, and may decrease with FSE-THC (70%) (10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01) (
                    <xref ref-type="fig" rid="f4">
Figure 4, Panel D</xref>). There was a significant increase in Nuclear Factor Kappa B Subunit 1 (NF-&#x03ba;B) production in the FSE-THC (70%) (5 &#x03bc;M) and FSE-THC:CBD (10 &#x03bc;M) (
                    <italic toggle="yes">p</italic> &lt; 0,01) groups (
                    <xref ref-type="fig" rid="f4">
Figure 4, Panel E</xref>). iNOS production was significantly altered in the CBD (10 &#x03bc;M), FSE-THC (70%) (5 &#x03bc;M), and FSE-THC:CBD (10 &#x03bc;M) groups (
                    <italic toggle="yes">p</italic> &lt; 0,01) groups (
                    <xref ref-type="fig" rid="f4">
Figure 4, Panel F</xref>).</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>
Figure 4. </label>
                    <caption>
                        <title>Immunocytochemistry Analysis of Inflammatory and Apoptotic Markers in BV-2 Microglial Cells.</title>
                        <p>Immunocytochemistry (ICC) analysis revealed significant Bcl-2 reduction with Dex-SP (4 &#x03bc;M), CBD (5 and 10 &#x03bc;M), and FSE-THC 70% (10 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.01) (Panel A). Bax levels decreased with FSE-THC 70% (10 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.01) and FSE-THC:CBD (10 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.05) (Panel B). TNF-&#x03b1; was significantly reduced, indicating anti-inflammatory effects, with Dex-SP (4 &#x03bc;M), CBD (5 &#x03bc;M), FSE-THC 70% (5 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.05), and FSE-THC 70% (10 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.01) (Panel C). IFN-&#x03b3; levels varied; CBD (10 &#x03bc;M) increased (
                            <italic toggle="yes">p</italic> &lt; 0.05), CBD (5 &#x03bc;M) decreased (
                            <italic toggle="yes">p</italic> &lt; 0.01), and FSE-THC 70% (10 &#x03bc;M) reduced IFN-&#x03b3; (
                            <italic toggle="yes">p</italic> &lt; 0.01) (Panel D). NF-&#x03ba;B was significantly elevated in FSE-THC 70% (5 &#x03bc;M) and FSE-THC:CBD (10 &#x03bc;M) (
                            <italic toggle="yes">p</italic> &lt; 0.01) (Panel E). iNOS expression was altered in the CBD (10 &#x03bc;M), FSE-THC 70% (5 &#x03bc;M), and FSE-THC:CBD (10 &#x03bc;M) groups (
                            <italic toggle="yes">p</italic> &lt; 0.01) (Panel F). The results were based on three independent experiments, and each condition was tested in six technical replicates. Data are presented as mean &#x00b1; SD, !!! 
                            <italic toggle="yes">p</italic> &lt; 0.05 versus vehicle, !!!! 
                            <italic toggle="yes">p</italic> &lt; 0.01 versus vehicle **
                            <italic toggle="yes">p</italic> &lt; 0.05 versus LPS + Vehicle, ***
                            <italic toggle="yes">p</italic> &lt; 0.01 versus LPS + Vehicle.</p>
                    </caption>
                    <graphic id="gr4" orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/178547/d06a8e1f-6019-44de-99f7-bc719c8a67fe_figure4.gif"/>
                </fig>
                <p>The most efficacious treatments for modulating inflammation are CBD (10 &#x03bc;M) because of their capacity to attenuate IFN-&#x03b3;, and iNOS, Dex-SP (4 &#x03bc;M) because of their capacity to attenuate TNF-&#x03b1;, and FSE-THC 70% (10 &#x03bc;M), because of their capacity to attenuate Bax, TNF-&#x03b1;, and IFN-&#x03b3;, which are critical mediators of the inflammatory response. All three treatments demonstrated a reduction in Bcl-2, which may represent a potential mechanism through which they attenuate prolonged microglial activation and facilitate the resolution of inflammation. However, if this reduction is accompanied by a concomitant decrease in Bax (as observed with FSE-THC 70% at 5 &#x03bc;M), it may indicate a shift in the balance between apoptosis and cellular viability (
                    <xref ref-type="table" rid="T1">
Table 1</xref>).</p>
            </sec>
        </sec>
        <sec id="sec19" sec-type="discussion">
            <title>4. Discussion</title>
            <p>In our study, none of the tested treatments significantly affected cell viability. Treatment with Dex-SP (4 &#x03bc;M) significantly reduced LPS-induced release of TNF-&#x03b1; (ICC), IL-6, and Bcl-2. In contrast, CBD significantly decreased LPS-induced release of TNF-&#x03b1; (5 and 10 &#x03bc;M), IL-6 (10 &#x03bc;M), Bcl-2 (5 and 10 &#x03bc;M), IFN-&#x03b3; (5 and 10 &#x03bc;M), and iNOS (10 &#x03bc;M). Additionally, FSE-THC 70% significantly reduced Bcl-2 (5 &#x03bc;M), Bax (10 &#x03bc;M), TNF-&#x03b1; (ICC) (5 and 10 &#x03bc;M), IFN-&#x03b3; (10 &#x03bc;M), NF-&#x03ba;B (5 &#x03bc;M), and iNOS (5 &#x03bc;M). Finally, FSE-THC:CBD significantly decreased TNF-&#x03b1; (5 and 10 &#x03bc;M), Bax (10 &#x03bc;M), NF-&#x03ba;B (10 &#x03bc;M), and iNOS (10 &#x03bc;M).</p>
            <p>We stimulated BV-2 microglial cells using LPS, leading to a notable release of Bcl-2, TNF-&#x03b1; and NF-&#x03ba;B. These compounds are widely acknowledged as critical mediators in inflammatory processes.
                <sup>
                    <xref ref-type="bibr" rid="ref54">54</xref>
                </sup> CBD (5 and 10 &#x03bc;M) and FSE-THC 70% (5 and 10 &#x03bc;M) exhibited the greatest ability to modulate inflammatory and apoptotic mediators, significantly reducing TNF-&#x03b1;, IL-6, IFN-&#x03b3;, NF-&#x03ba;B, iNOS, and Bax, whereas FSE-THC:CBD (5 and 10 &#x03bc;M) showed an intermediate response. In comparison, Dex-SP (4 &#x03bc;M) effectively reduced TNF-&#x03b1; and IL-6 but had no significant impact on IFN-&#x03b3;, NF-&#x03ba;B, or iNOS, suggesting that phytocannabinoids, particularly CBD and FSE-THC 70%, may represent promising strategies for neuroinflammation modulation.</p>
            <p>Previous studies have demonstrated that the endogenous cannabinoid system, which comprises compounds such as anandamide (AEA) and 2-arachidonoylglycerol (2-AG), plays a crucial role in protecting neurons from damage. This protection was achieved by reducing cellular apoptosis and enhancing cell viability.
                <sup>
                    <xref ref-type="bibr" rid="ref55">55</xref>
                </sup> Another study highlighted the antioxidant and neuroprotective properties of CBD and Cannabigerol (CBG) in rat astrocytes and cortices, demonstrating their effectiveness in reducing oxidative stress and preventing apoptosis. CBD outperformed CBG, with both impacting the neurokinin 3 receptor, indicating a potential multi-target mechanism.
                <sup>
                    <xref ref-type="bibr" rid="ref56">56</xref>
                </sup> To the best of our knowledge, this is the first study to compare the effects of Dex-SP, CBD, and FSE-THC 70%, both individually and in combination, on the viability of BV-2 microglial cells.</p>
            <p>The inhibitory effects of CBD 5 and 10 &#x03bc;M on the release of TNF-&#x03b1; were statistically superior to Dex-SP 4 &#x03bc;M. On the other hand, IL-6 release was more effectively inhibited by both Dex-SP 4 &#x03bc;M and CBD 10 &#x03bc;M. THC and CBD have been reported to exert distinct pharmacological actions on known cannabinoid receptors, displaying differential effects on exposed cells. THC functions as a partial agonist for both CB1 and CB2 receptors, while CBD shows a markedly low affinity for these receptors.
                <sup>
                    <xref ref-type="bibr" rid="ref57">57</xref>
                </sup> CB2 receptors, found on a range of immune cells, including primary microglia and the BV-2 microglial cell line, are considered key mediators in cannabinoid-driven immunomodulation.
                <sup>
                    <xref ref-type="bibr" rid="ref58">58</xref>
                </sup> The immunosuppressive effects of THC have been linked to CB2 receptors, as demonstrated through knockout system studies.
                <sup>
                    <xref ref-type="bibr" rid="ref59">59</xref>
                </sup> Consequently, studies have demonstrated that CB2 agonists exhibit immunosuppressive effects in rat primary microglial cultures.
                <sup>
                    <xref ref-type="bibr" rid="ref60">60</xref>
                </sup> It has been demonstrated that rat primary microglial cells express CB1 receptors, and the activation of these receptors induces the production of NO.
                <sup>
                    <xref ref-type="bibr" rid="ref61">61</xref>
                </sup> To assess whether various compositions of natural cannabinoids mediate immunosuppression in our system, we applied them prior to exposure to LPS and compared this response with that obtained using Dex-SP.</p>
            <p>We observed that CBD (5 &#x03bc;M) and FSE-TSH 70% (5 and 10 &#x03bc;M) reduce TNF-&#x03b1; expression at the cytoplasmic level to a similar extent as Dex-SP. The precise mechanisms underlying these findings remain unclear. One potential explanation is that THC acts as a weak agonist for the CB2 receptor
                <sup>
                    <xref ref-type="bibr" rid="ref62">62</xref>
                </sup> because that the CB1 is almost absent in BV-2 cells.
                <sup>
                    <xref ref-type="bibr" rid="ref63">63</xref>
                </sup> Additionally, several studies indicate that certain terpenoids may interact with components of the cannabinoid signaling system.
                <sup>
                    <xref ref-type="bibr" rid="ref64">64</xref>
                </sup>
            </p>
            <p>Immunocytochemistry (ICC) analysis revealed that CBD (5 and 10 &#x03bc;M), FSE-THC 70% (5 and 10 &#x03bc;M), and FSE-THC:CBD (5 and 10 &#x03bc;M) exerted an anti-inflammatory effect comparable to Dex-SP (4 &#x03bc;M). Similarly, CBD (5 and 10 &#x03bc;M) and FSE-THC 70% (5 &#x03bc;M) demonstrated a similar ability to Dex-SP (4 &#x03bc;M) in regulating cell survival by suppressing LPS-induced Bcl-2 expression. This reduction in Bcl-2 may reflect a shift in cell fate, promoting a less inflammatory environment and facilitating the clearance of hyperactivated or dysfunctional microglial cells, thereby contributing to inflammation resolution. Likewise, FSE-THC 70% (10 &#x03bc;M) and FSE-THC:CBD (10 &#x03bc;M) exhibited a statistically significant effect in reducing LPS-induced Bax expression.</p>
            <p>In our model, ICC analysis of IFN-&#x03b3; and iNOS showed no detectable changes, nor were any alterations observed in NO production. This may be due to the 4-hour LPS exposure, which might have been insufficient to induce a measurable response. Studies suggest that a 6-hour time point is more appropriate for capturing early microglial activation in neuroinflammatory models.
                <sup>
                    <xref ref-type="bibr" rid="ref65">65</xref>
                </sup> Similarly, early production of pro-inflammatory cytokines, such as IL-6 and TNF-&#x03b1;, has been reported shortly after intracerebral hemorrhage, highlighting the rapid onset of neuroinflammatory responses in the central nervous system.
                <sup>
                    <xref ref-type="bibr" rid="ref66">66</xref>
                </sup>
            </p>
            <p>Proinflammatory cytokines are key mediators of the immune response, often peaking within the first six hours of an inflammatory stimulus. This rapid release is a hallmark of acute inflammation, which occurs in response to infections, injuries, or other inflammatory triggers. For instance, IL-1&#x03b2; and TNF-&#x03b1; are among the earliest cytokines released upon exposure to stimuli such as LPS or ionizing radiation, reflecting the swift activation of the inflammatory cascade.
                <sup>
                    <xref ref-type="bibr" rid="ref67">67</xref>
                </sup> Their early secretion is crucial for initiating immune responses by recruiting immune cells to the site of injury and amplifying cytokine production.
                <sup>
                    <xref ref-type="bibr" rid="ref68">68</xref>
                </sup> Accurately modeling acute neuroinflammatory responses and assessing pharmacological interventions before secondary changes occur are essential for developing effective therapeutic strategies. LPS-induced models combined with pharmacological agents targeting specific neuroinflammatory pathways provide a valuable framework for studying the acute phase of neuroinflammation.
                <sup>
                    <xref ref-type="bibr" rid="ref69">69</xref>
                </sup>
            </p>
            <p>Dex-SP, a widely used anti-inflammatory drug, has also been employed clinically to manage various neuroinflammatory processes.
                <sup>
                    <xref ref-type="bibr" rid="ref70">70</xref>
                </sup> Dex-SP inhibits inflammatory responses by regulating the activity of transcription factors such as nuclear factor kappa B (NF-&#x03ba;B),
                <sup>
                    <xref ref-type="bibr" rid="ref71">71</xref>
                </sup> which was observed in our study. In neuroinflammatory processes, NF-&#x03ba;B plays a crucial role in neurodegeneration mediated by neuroinflammation.
                <sup>
                    <xref ref-type="bibr" rid="ref72">72</xref>
                </sup> The upregulation of NF-&#x03ba;B is associated with some neuroinflammatory disease, and targeting its inhibition could potentially serve as an effective therapeutic strategy for treating Alzheimer&#x2019;s disease,
                <sup>
                    <xref ref-type="bibr" rid="ref73">73</xref>
                </sup> Parkinson&#x2019;s disease,
                <sup>
                    <xref ref-type="bibr" rid="ref74">74</xref>
                </sup> and chronic pain.
                <sup>
                    <xref ref-type="bibr" rid="ref75">75</xref>
                </sup> Evidence suggests that proinflammatory cytokines, including TNF-&#x03b1; and IL-6 significantly contribute to the NF-&#x03ba;B signaling pathway.
                <sup>
                    <xref ref-type="bibr" rid="ref76">76</xref>
                </sup> NF-&#x03ba;B is known to activate these cytokines in cells, thereby triggering an inflammatory response.
                <sup>
                    <xref ref-type="bibr" rid="ref76">76</xref>
                </sup> Prior research has shown that in LPS-stimulated BV2 cells, the levels of proinflammatory cytokines TNF-&#x03b1; and IL-6 are elevated.
                <sup>
                    <xref ref-type="bibr" rid="ref77">77</xref>
                </sup> Elevated levels of pro-inflammatory cytokines in BV2 cells are believed to play a direct role in the development of neuroinflammation.
                <sup>
                    <xref ref-type="bibr" rid="ref78">78</xref>
                </sup> In the present study, Dex-SP (4 &#x03bc;M) significantly decreased the expression of Bcl-2 and TNF-&#x03b1; in LPS-stimulated BV2 cells.</p>
            <p>IL-1&#x03b2; is an important pro-inflammatory cytokine in microglial activation; however, in this study, we prioritized the quantification of IL-6 and TNF-&#x03b1;, which are rapidly induced and play central roles in the inflammatory cascade. TNF-&#x03b1; is a key upstream regulator of the inflammatory response, capable of inducing both IL-1&#x03b2; and IL-6 expression,
                <sup>
                    <xref ref-type="bibr" rid="ref52">52</xref>,
                    <xref ref-type="bibr" rid="ref53">53</xref>
                </sup> while IL-6 serves as a crucial modulator of neuroinflammation and is strongly associated with microglial activation. Given their well-documented roles in neuroinflammatory processes, the measurement of IL-6 and TNF-&#x03b1; provided a comprehensive assessment of the inflammatory response in our model. Future studies could complement these findings by including IL-1&#x03b2; measurements to further characterize the cytokine profile over time</p>
            <p>On the other hand, cannabinoid derivatives, particularly CBD, have been shown to modulate inflammation, yet there are still gaps in understanding their mechanisms of action or biological responses. It has been reported that the combination of THC and CBD can enhance these properties.
                <sup>
                    <xref ref-type="bibr" rid="ref79">79</xref>
                </sup> To date, there are no published studies comparing the anti-inflammatory properties of cannabinoids with Dex-SP in a neuroinflammation model using microglial cells. However, there are studies in other cell types showing that extracts are more potent than CBD alone,
                <sup>
                    <xref ref-type="bibr" rid="ref80">80</xref>
                </sup> which aligns with our findings.</p>
            <p>The expression of Bax, IFN-&#x03b3;, NF-&#x03ba;B, and iNOS was significantly reduced in microglial cells exposed to cannabinoids compared to that in cells treated with Dex-SP (4 &#x03bc;M). These differences may be attributed to the distinct modulatory mechanisms of cannabinoids, in contrast to the effects of corticosteroids, such as Dex-SP, on BV-2 microglial cell activity. Previous research has also shown that CBD can exert anti-inflammatory effects on LPS-stimulated microglial cells.
                <sup>
                    <xref ref-type="bibr" rid="ref81">81</xref>
                </sup> The specific molecular mechanisms underlying CBD&#x2019;s actions have yet to be fully elucidated, and more in-depth studies directly comparing the effectiveness and therapeutic potential of CBD, other cannabinoids, and their mixtures are needed. Our study demonstrated a greater anti-inflammatory effect with the presence of EFS-THC, in line with findings reported in other studies.
                <sup>
                    <xref ref-type="bibr" rid="ref79">79</xref>
                </sup>
            </p>
            <p>The limitation of our study was that no RNA level tests were conducted; hence, the effect of the observed changes on genetic expression was not determined. The exposure duration to LPS was brief, so we were unable to detect changes in the response after the 6-hour period. Moreover, a broader range of inflammatory proteins, such as TLR4 and MyD88, and modulators, including IL-1&#x03b2;, IL-4, IL-10, and Nerve Growth Factor (NGF), are required to further validate the roles of Dex-SP and cannabinoids in the regulation of neuroinflammation in LPS-stimulated BV2 cells.</p>
        </sec>
        <sec id="sec20" sec-type="conclusion">
            <title>5. Conclusion</title>
            <p>Our findings indicated that Dex-SP has an anti-inflammatory effect on LPS-stimulated BV2 cells. Furthermore, cannabinoids, particularly at certain concentrations and combinations, demonstrate efficacy comparable to or even superior to that of Dex-SP in reducing certain inflammatory mediators. This includes a reduction in the expression of anti-apoptoic protein as Bcl-2, pro-apoptotic proteins such as and Bax, as well as proinflammatory cytokines such as TNF-&#x03b1;, IFN-&#x03b3;, NF- &#x03ba;B and iNOS This study will aid in elucidating the therapeutic effects of cannabinoids on processes associated with neuroinflammation. Further research is needed to understand the mechanisms and determine the combinations of cannabinoids that significantly affect inflammation modulation.</p>
        </sec>
        <sec id="sec21">
            <title>Ethics</title>
            <p>Ethical approval and consent were not required.</p>
        </sec>
        <sec id="sec22">
            <title>Institutional review board statement</title>
            <p>Not applicable.</p>
        </sec>
        <sec id="sec23">
            <title>Informed consent statement</title>
            <p>Not applicable.</p>
        </sec>
        <sec id="sec24">
            <title>CrediT authorship contribution statement</title>
            <p>Conceptualization J.-M.Q., R.-H. B., L.E.D., and M.X.L.; methodology J.-M.Q., R.-H. B. and L.E.D.; writing&#x2014;original draft preparation, J.-M.Q., R.-H. B. and L.E.D; writing&#x2014;review and editing, J.-M.Q., R.-H. B. and L.E.D; supervision, J.-M.Q., R.-H. B. and L.E.D; project administration, R.-H.B.; funding acquisition, R.-H. B., L.E.D., and M.X.L. All authors have read and agreed to the published version of the manuscript.</p>
        </sec>
    </body>
    <back>
        <sec id="sec27" sec-type="data-availability">
            <title>Data availability statement</title>
            <sec id="sec28">
                <title>Underlying data</title>
                <p>All data underlying the results are available as part of the article and no additional source data are required.</p>
            </sec>
            <sec id="sec29">
                <title>Extended data</title>
                <p>Zenodo: Assessing neuroinflammation in vitro in a microglial model: advancing cannabinoid-based therapeutic insights. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5281/zenodo.14901695">https://doi.org/10.5281/zenodo.14901695</ext-link>.
                    <sup>
                        <xref ref-type="bibr" rid="ref82">82</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:
                    <list list-type="bullet">
                        <list-item>
                            <label>&#x2022;</label>
                            <p>

                                <ext-link ext-link-type="uri" xlink:href="https://zenodo.org/records/14901695/files/Data_experiments.xlsx?download=1">Data_experiments.xlsx</ext-link>
                            </p>
                        </list-item>
                    </list>
                </p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
        <ack>
            <title>Acknowledgements</title>
            <p>We would like to thank the Universidad de La Sabana.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report387464">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.178547.r387464</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>dos Santos Pereira</surname>
                        <given-names>Maur&#x00ed;cio</given-names>
                    </name>
                    <xref ref-type="aff" rid="r387464a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9012-7379</uri>
                </contrib>
                <aff id="r387464a1">
                    <label>1</label>Broad Institute Stanley Center for Psychiatric Research, Cambridge, Massachusetts, USA</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>30</day>
                <month>6</month>
                <year>2025</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2025 dos Santos Pereira M</copyright-statement>
                <copyright-year>2025</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="relatedArticleReport387464" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.162356.1"/>
            <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 manuscript titled 'Assessing neuroinflammation in vitro in a microglial model: advancing cannabinoid-based therapeutic insights' presents a well-designed and timely investigation into the anti-inflammatory potential of cannabinoid compounds using the BV-2 microglial cell line. The authors employed robust techniques including MTT assays, nitric oxide quantification, immunocytochemistry (ICC), and surface plasmon resonance imaging (SPRi) to assess the impact of CBD, FSE-THC, and their combination on LPS-induced neuroinflammatory responses.</p>
            <p> </p>
            <p> Key strengths of the manuscript include:</p>
            <p> - Integration of complementary readouts (cell viability, cytokine production, apoptotic and inflammatory markers).</p>
            <p> - Use of real-time SPRi technology, offering enhanced temporal resolution.</p>
            <p> - Clear experimental design with appropriate controls and statistical analysis.</p>
            <p> - High relevance to cannabinoid-based therapeutic research for neuroinflammatory conditions.</p>
            <p> Major Concerns 
                <list list-type="order">
                    <list-item>
                        <p>Lack of Mechanistic Insight: The study would benefit from further mechanistic exploration using receptor antagonists or gene expression analyses.</p>
                    </list-item>
                    <list-item>
                        <p>Limited Time-Point Analysis: The 6-hour endpoint limits interpretation. 4h is necessary to start cytokine production but the peak varies between cytokines. Also, the lack of absolute values doesn&#x2019;t help checking if 4h of LPS was enough to induce a high cytokine response.</p>
                    </list-item>
                    <list-item>
                        <p>Lack of detailed explanations of cell manipulation for SPRi technology. Because it is not a standard tool to analyze cytokine and show compelling reasoning for it&#x2019;s use, the paper could be a reference for it&#x2019;s use in BV2 microglial cells. So, details of the protocol should be addressed.</p>
                    </list-item>
                    <list-item>
                        <p>Use of BV-2 Cell Line Only: While common, this model has limitations compared to primary microglia. These should be more explicitly discussed.</p>
                    </list-item>
                    <list-item>
                        <p>No Inclusion of IL-1&#x03b2; Data: Given its relevance, the exclusion of IL-1&#x03b2; is a gap. Even preliminary or supplementary data would help.</p>
                    </list-item>
                </list> Minor Concerns 
                <list list-type="order">
                    <list-item>
                        <p>Abbreviations: Ensure all abbreviations are defined upon first use, in both abstract and main text.</p>
                    </list-item>
                    <list-item>
                        <p>SPR Method Description: Consider summarizing highly technical details and moving them to supplementary methods (while improving the description on how your biological samples were treated in terms of volume, dilution if any, etc.)</p>
                    </list-item>
                    <list-item>
                        <p>Supplementary Figures: ICC images should be clearer, with consistent labeling and higher resolution.</p>
                    </list-item>
                    <list-item>
                        <p>Statistical Methods: Include effect sizes or confidence intervals. A supplementary table of statistical results would help.</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>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Neuroimmunology, neuropharmacology.</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>
    </sub-article>
</article>
