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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1664-3224</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fimmu.2026.1787181</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Carbohydrate fatty acid monosulphate ester adjuvant enhances the immunogenicity of influenza antigens <italic>via</italic> TLR4/2-dependent mechanisms</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Retnakumar</surname><given-names>Sruthi Vijaya</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Singh</surname><given-names>Suraj Chandrabhan</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name><surname>Bonam</surname><given-names>Srinivasa Reddy</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<name><surname>Chauvin</surname><given-names>Camille</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="author-notes" rid="fn003"><sup>&#x2020;</sup></xref>
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<name><surname>Mathew</surname><given-names>Mano Joseph</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
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<name><surname>Nielsen</surname><given-names>Ida Busch</given-names></name>
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<name><surname>Boyle</surname><given-names>Christine</given-names></name>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
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<name><surname>Hilgers</surname><given-names>Luuk</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<name><surname>S&#xf8;gaard</surname><given-names>Max</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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<name><surname>Platenburg</surname><given-names>Peter Paul</given-names></name>
<xref ref-type="aff" rid="aff9"><sup>9</sup></xref>
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<name><surname>Bayry</surname><given-names>Jagadeesh</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>*</sup></xref>
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<aff id="aff1"><label>1</label><institution>Institut National de la Sant&#xe9; et de la Recherche M&#xe9;dicale, Centre de Recherche des Cordeliers, Sorbonne Universit&#xe9;, Universit&#xe9; Paris Cit&#xe9;</institution>, <city>Paris</city>,&#xa0;<country country="fr">France</country></aff>
<aff id="aff2"><label>2</label><institution>Department of Biological Sciences &amp; Engineering, Indian Institute of Technology Palakkad</institution>, <city>Palakkad</city>,&#xa0;<country country="in">India</country></aff>
<aff id="aff3"><label>3</label><institution>Vaccine Immunology Laboratory, Department of Applied Biology, CSIR-Indian Institute of Chemical Technology</institution>, <city>Hyderabad</city>,&#xa0;<country country="in">India</country></aff>
<aff id="aff4"><label>4</label><institution>Academy of Scientific and Innovative Research (AcSIR)</institution>, <city>Ghaziabad</city>,&#xa0;<country country="in">India</country></aff>
<aff id="aff5"><label>5</label><institution>EFREI Research Lab, Panth&#xe9;on Assas University</institution>, <city>Villejuif</city>,&#xa0;<country country="fr">France</country></aff>
<aff id="aff6"><label>6</label><institution>Laboratoire G&#xe9;nomique, Bioinformatique et Chimie Mol&#xe9;culaire, EA7528, Conservatoire National des Arts et M&#xe9;tiers, HESAM Universit&#xe9;</institution>, <city>Paris</city>,&#xa0;<country country="fr">France</country></aff>
<aff id="aff7"><label>7</label><institution>ExpreS2ion Biotechnologies, SCION-DTU Science Park</institution>, <city>H&#xf8;rsholm</city>,&#xa0;<country country="dk">Denmark</country></aff>
<aff id="aff8"><label>8</label><institution>EpiVax</institution>, <city>Providence</city>, <state>RI</state>,&#xa0;<country country="us">United States</country></aff>
<aff id="aff9"><label>9</label><institution>LiteVax B.V</institution>, <city>Oss</city>,&#xa0;<country country="nl">Netherlands</country></aff>
<author-notes>
<corresp id="c001"><label>*</label>Correspondence: Jagadeesh Bayry, <email xlink:href="mailto:jagadeesh.bayry@crc.jussieu.fr">jagadeesh.bayry@crc.jussieu.fr</email>; <email xlink:href="mailto:bayry@iitpkd.ac.in">bayry@iitpkd.ac.in</email></corresp>
<fn fn-type="equal" id="fn003">
<label>&#x2020;</label>
<p>These authors have contributed equally to this work</p></fn>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-04">
<day>04</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>17</volume>
<elocation-id>1787181</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>02</month>
<year>2026</year>
</date>
<date date-type="rev-recd">
<day>13</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Retnakumar, Singh, Bonam, Chauvin, Mathew, Nielsen, Boyle, Hilgers, S&#xf8;gaard, Platenburg and Bayry.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Retnakumar, Singh, Bonam, Chauvin, Mathew, Nielsen, Boyle, Hilgers, S&#xf8;gaard, Platenburg and Bayry</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-04">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Subunit influenza vaccines require potent adjuvants to elicit robust and broad immune responses, particularly against emerging pandemic strains such as H7N9. However, currently approved adjuvants often fail to induce durable and broadly protective immunity. Carbohydrate fatty acid monosulphate ester (CMS), a synthetic glycolipid incorporated into a squalane-in-water emulsion, has demonstrated promising immunostimulatory properties and is currently undergoing phase I clinical evaluation. However, the molecular mechanisms underlying its adjuvanticity in human immune cells remain incompletely understood. We therefore investigated the immunological and molecular mechanisms by which CMS enhances influenza hemagglutinin (HA) immunogenicity.</p>
</sec>
<sec>
<title>Methods</title>
<p>Human peripheral blood mononuclear cells (PBMCs) and monocyte-derived dendritic cells (DCs) from healthy donors were stimulated with influenza HA antigen alone or in combination with CMS. Antigen-specific T cell responses were assessed using activation-induced marker assays and intracellular cytokine staining. DC maturation markers and cytokine secretion were analyzed by flow cytometry and ELISA. Antigen uptake was evaluated by fluorescence microscopy and flow cytometry. Bulk RNA sequencing of CMS-stimulated DCs was performed to identify differentially expressed genes and enriched pathways. Toll-like receptor (TLR) involvement was validated using THP-1 reporter assays and pharmacological inhibition in DCs.</p>
</sec>
<sec>
<title>Results</title>
<p>CMS significantly enhanced antigen-specific CD4&#x207a; and CD8&#x207a; T cell responses in PBMCs. While recombinant H7N9 HA alone poorly activated DCs, co-formulation with CMS induced robust upregulation of co-stimulatory molecules and pro-inflammatory cytokines, leading to a polyfunctional T helper cell response. Transcriptomic profiling revealed strong enrichment of TLR, NF-&#x3ba;B, JAK-STAT, and interferon signaling pathways. Functional studies confirmed that CMS-induced activation depends on TLR4 and TLR2 engagement.</p>
</sec>
<sec>
<title>Discussion</title>
<p>CMS enhances influenza antigen immunogenicity by promoting TLR4/2-dependent DC activation, inflammatory signaling, and improved antigen presentation. These findings define the mechanistic basis of CMS adjuvanticity and support its development as a promising adjuvant platform for next-generation influenza vaccines targeting emerging pandemic strains.</p>
</sec>
</abstract>
<kwd-group>
<kwd>adjuvants</kwd>
<kwd>carbohydrate fatty acid monosulphate ester</kwd>
<kwd>dendritic cells</kwd>
<kwd>influenza</kwd>
<kwd>T cells</kwd>
<kwd>toll-like receptors</kwd>
<kwd>vaccines</kwd>
</kwd-group>
<funding-group>
<award-group id="gs1">
<funding-source id="sp1">
<institution-wrap>
<institution>Horizon 2020</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100007601</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<award-group id="gs2">
<funding-source id="sp2">
<institution-wrap>
<institution>Department of Biotechnology, Ministry of Science and Technology, India</institution>
<institution-id institution-id-type="doi" vocab="open-funder-registry" vocab-identifier="10.13039/open_funder_registry">10.13039/501100001407</institution-id>
</institution-wrap>
</funding-source>
</award-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. We acknowledge the INDIGO Consortium (<ext-link ext-link-type="uri" xlink:href="https://indigo-vaccines.eu/">https://indigo-vaccines.eu/</ext-link>) in the generation of data used in this publication. The INDIGO project &#x201c;Effective and Affordable flu Vaccine for the World&#x201d; is funded by the European Union Horizon 2020 program under grant agreement No. H2020&#x2013;SC1&#x2013;2019&#x2013;874653&#x2013;INDIGO and the Department of Biotechnology, Ministry of Science and Technology, Government of India (BT/IN/EU&#x2013;INF/17/GK/19&#x2013;20).</funding-statement>
</funding-group>
<counts>
<fig-count count="8"/>
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<equation-count count="0"/>
<ref-count count="70"/>
<page-count count="17"/>
<word-count count="8399"/>
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<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Molecular Innate Immunity</meta-value>
</custom-meta>
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</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Despite widespread annual vaccination campaigns, influenza viruses continue to impose a significant public health burden, causing an estimated 290,000 to 650,000 deaths globally each year due to seasonal infections (<xref ref-type="bibr" rid="B1">1</xref>, <xref ref-type="bibr" rid="B2">2</xref>). Multiple influenza vaccine strategies have been developed and routinely updated to match emerging viral strains; however, their overall effectiveness remains below 40% in the general population (<xref ref-type="bibr" rid="B3">3</xref>&#x2013;<xref ref-type="bibr" rid="B5">5</xref>). The effectiveness is further diminished in susceptible populations, including children, older adults, and other immunocompromised individuals with chronic diseases, who are at greater risk of developing severe illnesses and complications due to influenza infection (<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>). The emergence of novel pandemic influenza strains, generated through antigenic reassortment, poses a further substantial threat to global health due to the absence of pre&#x2010;existing antibodies or memory T cells (<xref ref-type="bibr" rid="B8">8</xref>). The COVID-19 pandemic heightened the global urgency of enhanced vaccine development, invigorating efforts to develop broadly protective next-generation influenza vaccines.</p>
<p>Influenza vaccine platforms have evolved substantially from traditional egg-based, inactivated virus formulations to highly adaptable recombinant protein and mRNA-based technologies, each offering distinct advantages in pandemic preparedness and public health impact. Next-generation mRNA-based influenza vaccines are currently undergoing clinical trials and have demonstrated superior efficacy compared to licensed vaccines (<xref ref-type="bibr" rid="B9">9</xref>&#x2013;<xref ref-type="bibr" rid="B11">11</xref>). Nevertheless, recombinant subunit vaccines remain an important complementary approach due to their well-established, predictable safety profiles with less systemic reactogenicity and rare adverse events compared to mRNA/LNP vaccines, which can occasionally provoke stronger innate responses, fever, and rarely myocarditis (<xref ref-type="bibr" rid="B11">11</xref>&#x2013;<xref ref-type="bibr" rid="B14">14</xref>). Most recombinant subunit influenza vaccines utilize the trimeric surface glycoprotein hemagglutinin (HA), by which the virus attaches to sialic acid-containing proteins on the host cell surface, and therefore a key determinant of virulence (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>). However, purified subunit vaccines are inherently less immunogenic, lacking pathogen-associated molecular patterns (PAMPs), and therefore, adjuvants have become an inevitable component in their formulations.</p>
<p>In addition to lowering the required vaccine antigen doses, adjuvants have a crucial role in shaping the resulting immune response by generating a mixed T helper cell response (Th1/Th2), thereby driving potent cellular and humoral responses. Currently licensed influenza vaccines typically employ alum or squalene-in-water (S/W) emulsion adjuvants such as MF59 and AS03 (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>). Although alum is widely used, its limited efficacy and potential reactogenicity have been documented in pandemic influenza vaccines against H1N1 and H5N1 strains (<xref ref-type="bibr" rid="B19">19</xref>, <xref ref-type="bibr" rid="B20">20</xref>). In contrast, currently approved S/W emulsions have demonstrated favorable safety profiles alongside enhanced immunogenicity; MF59 and AS03 have been successfully deployed in both seasonal and pandemic vaccines, eliciting stronger and broader immune responses against both homologous and heterologous influenza strains across general and high-risk populations (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>A squalane-in-water emulsion LiteVax&#x2122; adjuvant incorporating a synthetic carbohydrate fatty acid monosulphate ester (CMS) represents a promising candidate, currently advancing through phase I clinical trials for a licensed seasonal influenza vaccine (<xref ref-type="bibr" rid="B23">23</xref>&#x2013;<xref ref-type="bibr" rid="B25">25</xref>). Beyond serving as an antigen delivery vehicle, the immunostimulatory properties of its components, including CMS, have been evaluated. Our previous studies have demonstrated that CMS robustly activates human antigen-presenting cells (APCs), with CMS-treated dendritic cells (DCs) capable of polarizing robust T helper responses (<xref ref-type="bibr" rid="B26">26</xref>). However, the nature of antigen-specific cellular responses generated by the adjuvant to influenza antigens and the precise receptors and molecular pathways engaged by CMS to activate APCs remain to be investigated.</p>
<p>Classically, only H1, H2, and H3 influenza A subtypes have been responsible for human pandemics. However, the emergence and spread of highly pathogenic H5N1 and H7N9 avian influenza viruses, both associated with severe human disease and high case-fatality rates, have raised substantial concern about their pandemic potential. Although recent H5N1 infections, particularly those caused by Clade 2.3.4.4b viruses, are receiving increased attention (<xref ref-type="bibr" rid="B27">27</xref>, <xref ref-type="bibr" rid="B28">28</xref>), H7N9 has historically ranked among the highest-risk viruses in the United States Centers for Disease Control and Prevention&#x2019;s Influenza Risk Assessment Tool because of its capacity to infect humans, cause severe illness, and persist in avian reservoirs (<xref ref-type="bibr" rid="B29">29</xref>). To date, there is no universally licensed, widely deployed H7N9 vaccine for humans, and available pre-pandemic candidates are generally poorly immunogenic without strong adjuvants, often requiring high antigen doses and multiple administrations while offering limited breadth against antigenically drifted variants and suboptimal durability of protection (<xref ref-type="bibr" rid="B30">30</xref>, <xref ref-type="bibr" rid="B31">31</xref>). These limitations underscore an urgent need for improved, adjuvanted H7N9 vaccine formulations capable of inducing robust, long-lasting, and broadly protective immunity.</p>
<p>In this study, we investigate the immunomodulatory effects of the CMS adjuvant in human immune cells, with an emphasis on its capacity to enhance the immunogenicity of influenza HA antigens. We report that CMS robustly increases antigen-specific T cell responses to H1N1 HA peptide pools in human peripheral blood mononuclear cells (PBMCs). Although recombinant H7N9 HA antigens alone induced weak immunogenicity in DCs, co-formulation with CMS substantially boosted their immunogenic potential. We also examined the T-cell polarizing properties of this adjuvant formulation. Mechanistically, our data show that CMS triggers innate immunity <italic>via</italic> toll-like receptor (TLR)-mediated inflammatory signaling and promotes improved antigen presentation to T cells. Together, our findings indicate that combining recombinant HA proteins with the CMS platform may represent an effective future vaccine approach for emerging pandemic influenza strains.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Recombinant protein expression and purification</title>
<p>The H7N9 (A/Anhui/1/2013) HA gene was cloned into the pExpreS2&#x2013;1 vector (ExpreS2ion Biotechnologies, H&#xf8;rsholm, Denmark) and transfected into Drosophila S2 insect cells. Stable cell lines were established in three weeks in T-flask culture, which were then inoculated at 8 x 10<sup>6</sup> cells/ml in a shake flask and harvested after 3&#x2013;4 days. A 3.8 L harvest was thawed and processed by tangential flow filtration (TFF), ultrafiltered to 250 ml, and subsequently diafiltered with 7.5X turn over volumes into a buffer containing 20mM Tris pH 7.5, 100mM NaCl. The protein was captured from the load sample on 2ml CaptureSelect C-tagXL. The protein was eluted with increasing concentrations of MgCl<sub>2</sub> (250mM, 500mM, 1M, and 2M). Flowthrough was reapplied to the column until the protein of interest was depleted. Eluates from each elution concentration were analyzed using SDS-PAGE, and the fractions containing the protein were pooled and concentrated on a 10kDa cutoff spin filter. For further purification, a Superdex 200pg 26/600 column was used for size exclusion chromatography (SEC). Peak fractions from the SEC run were determined in protein size on analytical SEC (Superdex200 Increase 3.2/300). The peak containing protein of the correct size was pooled and concentrated on a 10kDa cutoff spinfilter (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;1</bold></xref>).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Isolation of PBMCs, generation of DCs</title>
<p>Buffy coats of healthy donors obtained from Etablissement Fran&#xe7;ais du Sang, Rungis, France (Institut National de la Sant&#xe9; et de la Recherche-EFS ethical committee convention 18/EFS/033) were subjected to Ficoll density gradient centrifugation to isolate PBMCs. Monocytes were positively selected using CD14 Microbeads (Miltenyi Biotec) and cultured in the presence of granulocyte-macrophage colony-stimulating factor (GM-CSF, 1000 IU/10<sup>6</sup> cells) (Miltenyi Biotec) and IL-4 (500 IU/10<sup>6</sup> cells) (Miltenyi Biotec) in RPMI-1640 supplemented with 10% fetal bovine serum (FBS) and 1% penicillin-streptomycin for 5 days to generate immature DCs.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Treatment of PBMCs with the antigen or adjuvant for activation-induced marker assay</title>
<p>CMS was provided by LiteVax BV, Netherlands. Isolated human PBMCs were seeded at a density of 1.5 x 10<sup>6</sup> cells/well in a 48-well plate in 300 &#x3bc;l of RPMI supplemented with 5% human AB serum, 100 IU/ml penicillin, and 100&#x2009;&#xb5;g/ml streptomycin. The cells were treated with H1N1 HA peptide pools (Miltenyi Biotec, 130-099-803) at a concentration of 0.5 &#x3bc;g/ml alone or combined with CMS (125 &#x3bc;g/ml) for 6 days. On days 2 and 4, cultures were supplemented with 10 ng/ml IL-2 by half medium replacement. On day 6, the cells were harvested by centrifugation and resuspended in fresh medium in a 96-well plate. The cells were restimulated with H1N1 peptide pools at a concentration of 1 &#x3bc;g/ml for 16 hrs in the presence of CD40 monoclonal antibody (1 &#x3bc;g/ml, clone: HB14; Miltenyi Biotec) and CD28 monoclonal antibody (1 &#x3bc;g/ml, clone: 37407; R&amp;D Systems). Following restimulation, cells were stained for surface activation markers and analyzed by flow cytometry.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Treatment of DCs with the antigen or adjuvant</title>
<p>Immature DCs were seeded at a density of 0.5 x 10<sup>6</sup> cells/ml/well in a 24-well plate in culture media supplemented with GM-CSF and IL-4, and left untreated (cells alone) or stimulated with recombinant H7N9 HA antigen (10 &#xb5;g/ml) alone or combined with CMS (125 &#xb5;g/ml) for the indicated time points. For TLR signaling inhibition, DCs were pre-incubated with CLI095 (3&#x2009;&#xb5;M), TL2-C29 (200 &#xb5;M), CU-CPT9a (10 &#xb5;M) (all from Invivogen) or 0.1% dimethyl sulfoxide prior to CMS stimulation (125 &#xb5;g/ml). Post-treatment, culture supernatants were collected for cytokine quantification by ELISA, and cells were analyzed for phenotypic markers by flow cytometry.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Microscopy analysis of adjuvant-antigen association and endocytosis</title>
<p>Recombinant H7N9 HA protein was fluorescently labeled with Alexa Fluor&#x2122; 488 Microscale Protein Labelling Kit (Invitrogen, A30006) following the manufacturer&#x2019;s instructions. CMS was mixed with 100 &#x3bc;M Nile red (Invitrogen, N1142) and incubated for 30 min at room temperature. The colloidal CMS particles were pelleted by centrifugation at 5000 rpm, and excess stain was removed by washing 3 times with 1X PBS. The particles were resuspended in an appropriate volume of 1X PBS and mixed with labeled HA protein. The mixture was added to 100,000 DCs in 100 &#x3bc;l culture medium in a 96-well plate at final concentrations of 125 &#x3bc;g/ml CMS and 5 &#x3bc;g/ml HA. The cells were imaged under a fluorescence microscope after 1 hr. To quantitatively measure antigen endocytosis, samples were acquired and analyzed by flow cytometry.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Co-culture of DCs and CD4<sup>+</sup> T cells</title>
<p>Followed by treatment with the antigens and the adjuvants as described above, the DCs were co-cultured with autologous CD4<sup>+</sup> T cells to analyze the T cell polarization. Autologous total CD4<sup>+</sup> T cells were isolated from PBMCs using magnetic bead isolation kits (Miltenyi Biotec) and cultured along with the stimulated DCs at a ratio of 10:1 (T cell to DCs) for 5 days in serum-free X-VIVO medium (Lonza). After co-culture, the cells were washed and stimulated with phorbol 12-myristate 13-acetate (50 ng/ml/0.5 x 10<sup>6</sup> cells) and ionomycin (500 ng/ml/0.5 x 10<sup>6</sup> cells) (Sigma&#x2013;Aldrich), along with GolgiStop (BD Biosciences) for 4 hrs. After staining the cells for the surface marker CD4, and CD127, fixation/permeabilization was carried out with an intracellular fixation &amp; permeabilization buffer (eBioscience) for intracellular staining of IFN-&#x3b3;, IL-17A, IL-4, FoxP3 to determine the frequency of Th1, Th2, Th17, and Treg subpopulations by flow cytometry.</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>THP-1 cell stimulation</title>
<p>THP1-Dual, THP1-Dual MD2-CD14-TLR4, and THP1-Dual KO-TLR4 reporter cells (Invivogen) were resuspended at a concentration of 100,000 cells per well in a 96-well U-bottom plate in 200&#x2009;&#xb5;l RPMI 1640 Medium, GlutaMAX Supplement (Gibco), supplemented with 25mM HEPES, 10% FBS, 100 IU/ml penicillin, and 100&#x2009;&#xb5;g/ml streptomycin. Cells were incubated for 20&#x2009;hrs at 37&#x2009;&#xb0;C in a humidified incubator at 5% CO<sub>2</sub> with the indicated treatments. To assess NF-&#x3ba;B activity <italic>via</italic> SEAP reporter activity, 20&#x2009;&#xb5;l of cell-free supernatants were combined with 180&#x2009;&#xb5;l QUANTI-Blue solution (Invivogen) in a clear 96-well flat-bottom plate and incubated for 3.5 to 4&#x2009;hrs at 37&#x2009;&#xb0;C. Optical density was read at 620&#x2009;nm using a microplate reader (TECAN).</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>Endotoxin quantification</title>
<p>Endotoxin levels in recombinant H7N9 HA antigen and CMS adjuvant were determined using the Limulus Amebocyte Lysate (LAL) test (Pierce&#x2122; Chromogenic Endotoxin Quantitation Kit, Thermo Scientific) according to the manufacturer&#x2019;s protocol.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Flow cytometry</title>
<p>The following antibodies were used for flow cytometry analysis of various surface/intracellular markers. BD Biosciences: CD80-AF700 (clone: L307.4), CD86-FITC (clone: FUN-1), CD54-APC (clone: HA58), CD83-APC (clone: HB15e), HLA-DR-PerCP-Cy5.5 (clone: G46-6), CD8-Pacific Blue (clone: RPA-T8), IFN-&#x3b3;-FITC (clone: 4S.B3), IL-4-PE (clone: MP4-25D2); Beckman Coulter: CD40-PE (clone: MAB89); BioLegend: CD4-PerCP (clone: SK3); Invitrogen: CD3-FITC (clone: 7D6); eBiosciences: FoxP3-APC (clone: 236A/E7), IL-17A-PE (clone: eBio64cap17); Miltenyi Biotec: CD154-APC (clone: 5C8), CD137-PE (clone: 4B4-1), TNF-&#x3b1;-APC (clone: cA2). The experiments were performed using LSR II flow cytometer (BD Biosciences), and the data were analyzed by BD FACS DIVA and FlowJo software.</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>ELISA</title>
<p>The cytokines (IL-1&#x3b2;, IL-6, IL-8, IL-10, IL-12, and TNF-&#x3b1;) in the cell-free culture supernatants were quantified using commercial ELISA kits (Invitrogen).</p>
</sec>
<sec id="s2_11">
<label>2.11</label>
<title>RNA sequencing</title>
<p>Monocyte-derived DCs from healthy donors were treated under different conditions and then subjected to bulk RNA sequencing to assess the changes in mRNA expression. The study included two experimental groups: control (n = 3 donors) and CMS adjuvant-treated DCs (n = 3 donors). Total RNA was extracted from each sample using a standard protocol, followed by a quality assessment with an Agilent Bioanalyzer. Library preparation was performed using an RNA-seq kit, and sequencing was conducted on an Illumina platform to generate high-quality paired-end reads. The raw data supporting this study have been deposited in the Gene Expression Omnibus (GEO) Database under the accession number GSE318332.</p>
</sec>
<sec id="s2_12">
<label>2.12</label>
<title>Data pre-processing and normalization</title>
<p>Raw sequencing reads were processed using FastQC (v0.12.1) for quality control, followed by trimming with Trimmomatic (v0.39) to remove adapter sequences and low-quality bases. STAR (v2.7.11b) was used to align the cleaned reads to the reference genome (GRCh38), and HTSeq-count (v2.0.5) was used to measure the number of genes that were expressed at the expression level.</p>
</sec>
<sec id="s2_13">
<label>2.13</label>
<title>Differential expression analysis</title>
<p>Differential gene expression analysis was performed using DESeq2 (<xref ref-type="bibr" rid="B32">32</xref>) to compare gene expression levels between treatment groups and control samples. Genes with an adjusted p-value (Benjamini-Hochberg correction) &lt; 0.05 and log2 fold change &gt; 1 were considered significantly differentially expressed.</p>
</sec>
<sec id="s2_14">
<label>2.14</label>
<title>Pathway enrichment analysis</title>
<p>The top 200 differentially expressed genes upregulated in the CMS treatment condition compared to the control were subjected to functional enrichment analysis using KEGG (Release 117.0) and Reactome pathway databases (v94) or associated reference. Over-representation analysis was conducted using the R (v4.4.2) package clusterProfiler (v4.14.6) (<xref ref-type="bibr" rid="B33">33</xref>) to identify enriched pathways in these databases.</p>
</sec>
<sec id="s2_15">
<label>2.15</label>
<title>Protein-protein interaction network construction and hub genes identification</title>
<p>The PPI network was constructed using the STRINGdb package (v2.18.0) (<xref ref-type="bibr" rid="B34">34</xref>) in R. The list of top 200 DEGs was mapped to their corresponding STRING identifiers using the built-in human protein database (STRING V12.0). The PPI network was visualized and analyzed using the igraph package. Genes with the highest degree values were considered as hub genes, reflecting their potential as a central regulator of protein interaction networks.</p>
</sec>
<sec id="s2_16">
<label>2.16</label>
<title>Statistical analysis</title>
<p>Statistical analyses were performed by one-way ANOVA with Tukey&#x2019;s multiple comparison post-test, or two-way Mann&#x2013;Whitney U test, and P&#x2009;&lt;&#x2009;0.05 was considered significant. The analyses were performed using Prism 8 (GraphPad Software Inc., CA).</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>CMS adjuvant enhances antigen-specific T cell responses to influenza HA antigens in human PBMCs</title>
<p>Adjuvant enhances the immunogenicity of antigens through various mechanisms. To understand the cellular mechanisms by which CMS enhances the immunogenicity of influenza HA antigens, we have set up activation-induced marker (AIM) assays with human PBMCs from healthy donors. PBMCs were treated with H1N1 HA peptide pools either alone or in combination with CMS for 6 days and then restimulated with the peptide pools for 16 hrs, followed by flow cytometry analysis of AIMs, such as CD154 and CD137 (<xref ref-type="fig" rid="f1"><bold>Figures&#xa0;1A, B</bold></xref>). Although peptide pools alone induced significant antigen-specific CD4<sup>+</sup> T cell responses, the presence of the adjuvant further increased the frequency of responding cells (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1C</bold></xref>). Notably, the peptide pools alone were unable to efficiently induce CD8<sup>+</sup> T cell responses, whereas combining with CMS significantly enhanced the frequency of CD137<sup>+</sup> CD8<sup>+</sup> T cells (<xref ref-type="fig" rid="f1"><bold>Figure&#xa0;1D</bold></xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>CMS adjuvant enhances antigen-specific T cell responses to H1N1 HA peptide pools in human PBMCs. <bold>(A)</bold> Scheme of the AIM assay setup. PBMCs from healthy donors were treated with H1N1 HA peptide pools alone or in combination with the adjuvant for 6 days and restimulated with peptide pools for 16 hrs in the presence of anti-CD40 and anti-CD28, followed by surface staining and flow cytometry analysis of AIMs. <bold>(B)</bold> Representative dot plots showing frequencies of CD154<sup>+</sup> CD137<sup>+</sup> CD4<sup>+</sup> and CD137<sup>+</sup>CD8<sup>+</sup> T cells for the indicated treatments. <bold>(C)</bold> Summarized frequencies of HA-specific CD154<sup>+</sup> CD137<sup>+</sup> CD4<sup>+</sup> and CD137<sup>+</sup> CD8<sup>+</sup> T cells from independent donors (n=9). Statistics are <italic>**P &lt; 0.01</italic>; ns, not significant as determined by Mann-Whitney&#x2019;s U test <bold>(C, D)</bold>. AIM, activation-induced marker; SD, standard deviation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g001.tif">
<alt-text content-type="machine-generated">Diagram illustrating experimental workflow with PBMC isolation, peptide stimulation, and flow cytometry (A); flow cytometry dot plots showing CD154 and CD137 expression on CD4+ and CD8+ T cells after different conditions (B); scatter plots quantifying percentages of CD154+CD137+ CD4+ T cells (C) and CD137+ CD8+ T cells (D) for each group, depicting statistically significant increases with CMS adjuvant.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>CMS enhances the antigenicity of recombinant H7N9 HA protein on human DCs</title>
<p>Maturation of DCs following antigen uptake represents a key step in initiating innate and adaptive immune responses to vaccines. Subunit vaccine antigens, such as recombinant proteins, often show limited capacity to activate DCs due to the absence of PAMPs typical of whole viruses (<xref ref-type="bibr" rid="B35">35</xref>). We have previously demonstrated that CMS exerts a strong immunostimulatory effect on DCs (<xref ref-type="bibr" rid="B26">26</xref>). The inherent ability of CMS in the commercial squalene-based emulsion to markedly enhance antigen-specific T cell responses to classical pandemic strains prompted us to investigate the combination of CMS with a recombinant H7N9 HA protein (potential pandemic strain) to assess its immunogenic potential on human DCs.</p>
<p>Monocytes isolated from buffy coats of healthy donors were differentiated into DCs and treated with the antigen alone or in combination with CMS for 48 hrs. The H7N9 HA protein did not promote significant enhancement in the expression of DC-activation markers compared to unstimulated cells, confirming its poor intrinsic immunostimulatory capacity.</p>
<p>In line with previous results, the stimulation of DCs with HA in the presence of CMS led to an increased upregulation of various markers associated with activation of DCs such as CD80, CD86, CD40, CD274, CD54, and HLA-DR, compared to unadjuvanted antigen (<xref ref-type="fig" rid="f2"><bold>Figures&#xa0;2A, B</bold></xref>). Moreover, measured endotoxin levels were ~0.005 EU/mL for HA and ~0.01 EU/mL for CMS at their maximum working concentrations (10 &#xb5;g/mL HA; 250 &#xb5;g/mL CMS). These concentrations were used in DCs and subsequent THP-1 assays. The endotoxin levels remained well below levels known to trigger innate immune activation.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>CMS enhances the immunogenicity of H7N9 HA protein antigen on human DCs. Immature DCs were left alone or treated with H7N9 HA (10 &#x3bc;g/ml) antigen alone or antigen + CMS (125 &#xb5;g/ml) for 48 h. After incubation, cells were subjected to surface phenotyping by FACS. <bold>(A, B</bold>) Representative histograms and scatter plots representing the mean&#x2009;&#xb1;&#x2009;SD (n&#x2009;=&#x2009;6 donors) values of expression (median fluorescence intensities, MFI) of CD80, CD86, CD40, HLA-DR, CD54, and CD274. <bold>(C)</bold> Cell-free supernatants were collected and analyzed for cytokines. Amount of secretion (mean&#x2009;&#xb1;&#x2009;SD, n&#x2009;=&#x2009;12-13) of IL-1&#x3b2;, IL-6, IL-8, IL-10, IL-12p70 and TNF-&#x3b1;, (all in pg/ml) (n = 10&#x2013;13 donors). Statistics are <italic>*P &lt; 0.05; **P &lt; 0.01; ****P &lt; 0.0001</italic> as determined by one-way ANOVA with Tukey&#x2019;s multiple comparisons post-test <bold>(B, C)</bold>. SD, standard deviation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g002.tif">
<alt-text content-type="machine-generated">Panel A shows six flow cytometry histograms comparing autofluorescence, cells alone, HA alone, and HA plus CMS for markers CD80, HLA-DR, CD86, CD54, CD40, and CD274. Panel B presents six bar graphs with median fluorescence intensity (MFI) values for these markers, showing significant increases with HA plus CMS. Panel C displays six dot plots of cytokine levels (IL-1β, IL-6, IL-8, IL-10, IL-12, TNF), indicating elevated cytokine production with HA plus CMS, with statistical significance denoted by asterisks.</alt-text>
</graphic></fig>
<p>Activated DCs secrete immunomodulatory cytokines that have a critical role in signaling the polarization of effector T helper cell responses. Cytokine production in supernatants from antigen- and/or adjuvant-treated DCs was measured by ELISA. While the antigen alone did not induce any cytokine responses, co-treatment with CMS triggered a higher secretion of the pro-inflammatory cytokines IL-1&#x3b2;, IL-6, IL-8, TNF, IL-12, as well as the anti-inflammatory cytokine IL-10 (<xref ref-type="fig" rid="f2"><bold>Figure&#xa0;2C</bold></xref>). These findings demonstrate that CMS effectively enhances the immunostimulatory capacity of recombinant H7N9 HA protein through potent activation of human DCs.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>CMS associates with the H7N9 HA antigen and is endocytosed by DCs</title>
<p>Adjuvants generally first exert their actions by binding to antigens, and the antigen-adjuvant complex is delivered to APCs, which are then endocytosed by the APCs to form endosomes (<xref ref-type="bibr" rid="B36">36</xref>, <xref ref-type="bibr" rid="B37">37</xref>). To visualize the association between CMS and the H7N9 HA protein, the antigen was labeled with Alexa Fluor 488, and the adjuvant was stained with Nile Red, a lipophilic dye that binds to the fatty acid chains of CMS (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3A</bold></xref>). DCs were incubated with the labeled antigen&#x2013;adjuvant complex for 1 hr at 37&#xb0;C and then examined by fluorescence microscopy. The colocalization of the fluorescent signals within the cells indicated association and uptake of the antigen-adjuvant complex by DCs. This process was markedly reduced when the incubation was performed at 4&#xb0;C, confirming uptake through active endocytosis (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3B</bold></xref>). However, a quantitative assessment by flow cytometry showed comparable levels of antigen internalization with or without CMS, suggesting that the adjuvant does not significantly alter the overall rate of antigen uptake (<xref ref-type="fig" rid="f3"><bold>Figure&#xa0;3C</bold></xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>CMS associates with H7N9 HA, and the antigen-adjuvant complex is endocytosed by DCs. <bold>(A)</bold> Fluorescence microscopy image showing the association of HA antigens around CMS droplets. The HA antigen and CMS adjuvant were labeled with AF488 (green) and Nile red (red), respectively. <bold>(B)</bold> Microscopy images showing the endocytosis of labeled antigen-adjuvant complex by DCs at 37&#xb0;C and 4&#xb0;C. <bold>(C)</bold> Flow cytometry analysis of antigen uptake, mean&#x2009;&#xb1;&#x2009;SD (n&#x2009;=&#x2009;4 donors) values of median fluorescence intensities (MFI). Statistics are <italic>*P &lt; 0.05; **P &lt; 0.01</italic>; ns, not significant as determined by one-way ANOVA with Tukey&#x2019;s multiple comparisons post-test <bold>(C)</bold>. SD, standard deviation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g003.tif">
<alt-text content-type="machine-generated">Panel A shows three fluorescence microscopy images of particles or cells: green channel, red channel, and merged view with yellow overlap, including an inset highlighting colocalization. Panel B presents transmitted light and fluorescence images at thirty-seven degrees Celsius and four degrees Celsius, showing green (HA), red (CMS), and merged signals in cells, with differences in uptake depending on temperature. Panel C displays a bar graph comparing median fluorescent intensity values for three conditions: cells alone, HA, and HA plus CMS, showing statistical significance among groups.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>CMS enhances the ability of H7N9 HA antigen-stimulated DCs to polarize T-cell responses</title>
<p>We then investigated the capacity of DCs stimulated with adjuvanted H7N9 HA antigen to polarize distinct effector CD4<sup>+</sup> T cell responses. The stimulated DCs were washed and co-cultured with autologous total CD4<sup>+</sup> T cells for 5 days, followed by intracellular staining for T cell lineage-specific markers. The flow cytometry analysis revealed an upregulation of Th1 (IFN-&#x3b3;<sup>+</sup>CD4<sup>+</sup>), Th2 (IL-4<sup>+</sup>CD4<sup>+</sup>), and Th17 (IL-17A<sup>+</sup>CD4<sup>+</sup>) cell responses when DCs stimulated with adjuvanted antigen were co-cultured with total CD4<sup>+</sup> T cells (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4A, B</bold></xref>). CD4<sup>+</sup> T cell responses were lower in co-cultures with unstimulated control DCs and with DCs stimulated with HA antigen alone. In addition, the frequency of FoxP3-expressing CD4<sup>+</sup> T cells was increased under these conditions (<xref ref-type="fig" rid="f4"><bold>Figures&#xa0;4A, B</bold></xref>). These results indicate that DCs stimulated with CMS-adjuvanted influenza antigens have the capacity to induce mixed T helper responses, along with potential Treg induction.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Adjuvant + antigen-stimulated DCs polarize mixed T helper cell responses. Immature DCs were left untreated or treated with H7N9 HA antigen alone (10 &#x3bc;g/ml) or antigen + CMS (125 &#xb5;g/ml) for 48 (h) After incubation, DCs were washed and co-cultured with purified autologous CD4<sup>+</sup> total T cells (1:10 ratio) for 5 days. After 5 days, cells were subjected to intracellular cytokine staining for Th1 (IFN-&#x3b3;<sup>+</sup>CD4<sup>+</sup>), Th2 (IL-4<sup>+</sup>CD4<sup>+</sup>), Th17 (IL-17A<sup>+</sup>CD4<sup>+</sup>), and Tregs (CD25<sup>+</sup>FoxP3<sup>+</sup>CD127<sup>low/neg</sup> CD4<sup>+</sup>), followed by FACS analysis. <bold>(A, B)</bold> Representative dot-plots and summarized frequencies (mean&#x2009;&#xb1;&#x2009;SD, n&#x2009;=&#x2009;7 donors) are presented. Statistics are <italic>*P &lt; 0.05; **P &lt; 0.01; ***P &lt; 0.001;</italic> as determined by one-way ANOVA with Tukey&#x2019;s multiple comparisons post-test <bold>(B)</bold>. CA, cells alone; SD, standard deviation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g004.tif">
<alt-text content-type="machine-generated">Panel A shows flow cytometry dot plots comparing percentages of CD4+ T cells expressing IFN-γ, IL-4, IL-17A, and CD25+FoxP3+ across three conditions: cells alone, HA alone, and HA plus CMS. Panel B shows corresponding bar graphs with statistical significance indicated, revealing that HA plus CMS increases frequencies of IFN-γ+, IL-4+, IL-17A+, and FoxP3+CD127low CD4+ T cells compared to controls.</alt-text>
</graphic></fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>Pathway enrichment analysis of differentially expressed genes in CMS-treated DCs shows activation of TLR-dependent immune response pathways</title>
<p>To elucidate the molecular mechanisms by which CMS activates the APCs and thereby enhances the immunogenicity of influenza HA antigens, RNA-sequence analysis was performed on DCs stimulated with CMS for six hours. Pathway enrichment of 200 upregulated genes indicated robust activation of multiple innate immune and inflammatory cascades (<xref ref-type="fig" rid="f5"><bold>Figure&#xa0;5</bold></xref>). The top enriched KEGG pathways included TNF, NF-&#x3ba;B, JAK-STAT, and TLR signaling, consistent with cytokine-driven amplification of immune responses mediated by TLR engagement.</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Upregulated immune signaling pathways in CMS-treated DCs. Bar plot showing significantly upregulated pathways in CMS-treated DCs compared to untreated controls, identified using KEGG (blue) and Reactome (red) pathway enrichment analyses. Prominent pathways include cytokine&#x2013;cytokine receptor interaction, TNF, NF-&#x3ba;B, TLR, and JAK-STAT signaling, as well as interferon &#x3b1;/&#x3b2; and &#x3b3; signaling cascades. The enrichment of these pathways highlights the strong activation of innate immune and pro-inflammatory signaling, suggesting that CMS effectively stimulates DC activation and cytokine-mediated immune responses.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g005.tif">
<alt-text content-type="machine-generated">Horizontal bar chart titled “Upregulated pathways” displays multiple immune signaling pathways ranked by significance (1/adjusted p value) on the x-axis. KEGG pathways are shown in blue, Reactome pathways in red. Cytokine-cytokine receptor interaction has the highest value, followed by TNF, NF-kappa B, and Toll-like receptor signaling. Reactome pathways such as interferon alpha/beta signaling and interleukin-4 and interleukin-13 signaling are also prominent. A color-coded legend differentiates pathway databases.</alt-text>
</graphic></fig>
<p>Among Reactome pathways, interferon-&#x3b1;/&#x3b2; and interleukin-4/13 signaling were predominantly upregulated, reflecting activation of both antiviral and Th2-associated immune responses. Additionally, enrichment of MyD88-independent TLR4, TRIF-mediated TLR4, and TRAF3-dependent IRF activation pathways highlighted the engagement of both canonical and non-canonical TLR4 downstream branches. These pathways collectively encompass the MyD88-NF-&#x3ba;B axis driving pro-inflammatory cytokine production and the TRIF-IRF3 axis promoting type I interferon responses.</p>
<p>The selection of the top 200 upregulated genes for the pathway enrichment analysis was based on a balance between biological interpretability and network robustness. Specifically, this threshold captured the most strongly and consistently upregulated transcripts while avoiding the inclusion of weakly expressed or low-confidence genes that can introduce noise into downstream analyses, particularly in PPI network construction (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;2A</bold></xref>).</p>
<p>To ensure that this cutoff was not arbitrary, we additionally performed STRING-based protein&#x2013;protein interaction analyses using the top 300 and 400 upregulated genes (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figures&#xa0;2B, C</bold></xref>). These analyses showed highly similar network structures, key hub genes, and enriched biological pathways. The 200-gene set represented the minimal and optimal gene subset that retained the core interaction network, whereas larger gene sets mainly added low-connectivity peripheral nodes without changing the overall biological interpretation. Therefore, the top 200 genes were chosen for clarity and interpretability, while the main conclusions remained consistent across different gene cutoffs.</p>
<p>Together, these findings suggest that CMS activates DCs through TLR-dependent mechanisms, resulting in broad stimulation of inflammatory and interferon signaling networks that coordinate cytokine production and immune effector functions.</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>TLR-driven hub genes and antigen presentation machinery are upregulated in CMS-treated DCs</title>
<p>Consistent with the pathway enrichment analysis revealing activation of TLR downstream signaling cascades, the PPI network identified the key hub genes involved in inflammatory and antiviral responses (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>). Using STRING-based interaction mapping, we observed densely interconnected networks, with NFKB1, NFKB1A, IL1A, IL1B, CXCL8, CXCL10, CXCL11, CSF3, IRF1, and CD80 emerging as central nodes with high degree values. These hub genes are known mediators of TLR-induced NF-&#x3ba;B, IRF, JAK-STAT, and cytokine-chemokine signaling pathways, supporting activation of both innate and adaptive immune effector programs in CMS-treated cells.</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Protein-protein interaction (PPI) network and MHC gene expression in CMS-stimulated DCs. <bold>(A)</bold> Protein&#x2013;protein interaction network constructed using the STRING database showing major hub genes (red nodes) among upregulated genes in CMS-treated DCs. Central hub genes include NFKB1, NFKBIA, IRF1, IL1A, IL1B, CXCL8, and CXCL10, which are key regulators of inflammatory and antiviral signaling. <bold>(B)</bold> Heatmap showing increased expression of MHC class I genes in CMS-treated DCs, indicating enhanced antigen processing and presentation <italic>via</italic> MHC-I pathway. <bold>(C)</bold> Heatmap showing upregulation of MHC class II genes, suggesting improved antigen presentation to CD4<sup>+</sup> T cells. Together, these results demonstrate that CMS induces strong activation of antigen presentation machinery and pro-inflammatory transcriptional networks in human DCs. CA, cells alone.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g006.tif">
<alt-text content-type="machine-generated">Panel A shows a protein-protein interaction network with blue nodes for non-hub genes and larger red nodes for hub genes such as NFKB1, CXCL10, and IL1B, connected by gray lines. Panel B is a heatmap of MHC class I gene expression, where CA samples are blue and CMS are red, indicating higher expression in CMS. Panel C is a heatmap of MHC class II gene expression with a similar pattern, showing gene names on the right and a color key from blue to red for expression values.</alt-text>
</graphic></fig>
<p>In parallel, differential expression analysis of major histocompatibility complex (MHC) genes revealed robust upregulation of both MHC class I and MHC class II genes in CMS-treated DCs compared with untreated cells (CA) (<xref ref-type="fig" rid="f6"><bold>Figures&#xa0;6B, C</bold></xref>). The concurrent induction of pro-inflammatory hub genes and MHC-associated antigen processing pathways underscores the link between TLR-mediated innate signaling and enhanced antigen presentation capacity, thereby facilitating efficient adaptive immune priming.</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>TLR4/2 engagement is indispensable for CMS-induced signaling and activation of human APCs</title>
<p>A strong upregulation of the TLR-dependent signaling pathway signatures in CMS-simulated DCs prompted us to investigate the functional role of the different TLRs in the stimulatory effect of CMS. A gene expression analysis of various TLRs in CMS-stimulated DCs compared to untreated controls (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7A</bold></xref>) revealed an upregulation of TLR1, TLR2, TLR4, and TLR6 transcripts.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>CMS activates DCs through TLR4 and TLR2-dependent mechanisms. <bold>(A)</bold> Heat map representation depicting the expression of different TLRs comparing unstimulated DCs vs CMS-stimulated DCs. <bold>(B)</bold> THP-1 human monocytic cell line stably expressing a secreted embryonic alkaline phosphatase (SEAP) reporter inducible by NF-kB was treated for 24 hrs with CMS at the indicated concentrations. The activation of NF-&#x3ba;B was assessed by measuring the activity of SEAP in the supernatant using QUANTI&#x2212;Blue&#x2122; Solution. Results of THP1 MD2-CD14-TLR4, THP1 and THP1 KO-TLR4 are shown (mean &#xb1; SD, n=4). <bold>(C, E)</bold> Effect of CLI095 (TLR4 pathway inhibitor), or TL2-C29 (TLR2 pathway inhibitor), compared to DMSO (solvent control) on the expression of CMS-induced DC maturation markers. Scatter plots representing the mean&#x2009;&#xb1;&#x2009;SD (n&#x2009;=&#x2009;8 donors) values of CD80, CD86, and HLA-DR are presented. <bold>(D, F)</bold> Inhibitory effect of CLI095 or TL2-C29 on the secretion (mean&#x2009;&#xb1;&#x2009;SD, n&#x2009;=&#x2009;8) of IL-8, IL-6, and IL-12p70 (all in pg/ml) by CMS-stimulated DCs. <italic>*P&#x2009;&lt;&#x2009;0.05; **P&#x2009;&lt;&#x2009;0.01; ***P&#x2009;&lt;&#x2009;0.001; ****P&#x2009;&lt;&#x2009;0.0001</italic> as analyzed by one-way ANOVA with Tukey&#x2019;s multiple comparisons post-test <bold>(C-F)</bold>. CA, cells alone; DMSO, dimethyl sulfoxide; SD, standard deviation.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g007.tif">
<alt-text content-type="machine-generated">Figure containing six panels of immunology data. Panel A shows a bar graph of TLR receptor expression with TLR1, TLR2, TLR4, and TLR6 upregulated and TLR3, TLR5, TLR7, and TLR8 downregulated. Panel B displays a dose-response line graph of NF-κB activity, with THP1 MD2-CD14-TLR4 cells (red) showing increased response to CMS, while THP1 wildtype (black) and TLR4 knockout (blue) remain low. Panels C and E show bar graphs of CD80, CD86, and HLA-DR median fluorescence intensity in dendritic cells under different treatments, with significant differences noted. Panels D and F present scatter plots of IL-8, IL-6, and IL-12 cytokine levels in pg/ml, displaying higher cytokine release for CMS DMSO treatment compared to controls and inhibitors, with significance indicated by asterisks.</alt-text>
</graphic></fig>
<p>To functionally validate the TLR-dependent NF-&#x3ba;B signaling by CMS, we resorted to the human monocytic THP-1 cell line stably expressing a secreted embryonic alkaline phosphatase reporter inducible by NF-&#x3ba;B. Although the THP-1 cells endogenously express various TLRs, it is significantly less sensitive to TLR4 agonists compared to primary human monocytes due to limited expression of the co-adaptors MD2 and CD14, which prompted us to include THP-1 cells overexpressing the MD2-CD14-TLR4 complex in our experiments. CMS induced a dose-dependent NF-&#x3ba;B activation in THP1 MD2-CD14-TLR4 cells; however, this activation was minimal in wild-type THP-1 cells and was completely abrogated in TLR4 knockout cells (<xref ref-type="fig" rid="f7"><bold>Figure&#xa0;7B</bold></xref>). These results demonstrate that TLR4 engagement is essential for CMS-driven NF-&#x3ba;B signaling in APCs.</p>
<p>To corroborate these findings in primary cells, the role of TLR4 and TLR2 pathways was examined in human DCs using selective antagonists. Pre-treatment with CLI-095 (TLR4 inhibitor) or TL2-C29 (TLR2 inhibitor) markedly reduced CMS-induced expression of maturation markers and cytokine secretion compared with DMSO-treated controls (<xref ref-type="fig" rid="f7"><bold>Figures&#xa0;7C&#x2013;F</bold></xref>). In contrast, inhibition of TLR8 with CU-CPT9a had no significant effect (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;3</bold></xref>).</p>
<p>Collectively, these data identify TLR4 and TLR2-associated receptor complexes as critical mediators of CMS-induced activation in human APCs, bridging innate immune recognition with downstream pro-inflammatory and co-stimulatory signaling (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>).</p>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Proposed mechanisms of action of CMS. CMS associates with recombinant influenza hemagglutinin (HA) antigen and is endocytosed by antigen-presenting cells (APCs), such as dendritic cells. Following uptake, CMS engages pattern-recognition receptors, including TLR4&#x2013;MD2&#x2013;CD14 complexes and TLR2, triggering MyD88- and TRIF-dependent signaling pathways, which lead to the activation of NF-&#x3ba;B and IRF transcription factors, resulting in production of pro-inflammatory cytokines and type I interferons, as well as upregulation of co-stimulatory molecules and MHC expression. These events enhance antigen presentation capacity and support the induction of broad CD4<sup>+</sup> T-helper responses together with increased CD8<sup>+</sup> T-cell activation. Figure created at <ext-link ext-link-type="uri" xlink:href="http://BioRender.com">BioRender.com</ext-link>.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-17-1787181-g008.tif">
<alt-text content-type="machine-generated">Infographic illustrating the process of CMS–HA complex endocytosis by immature dendritic cells, TLR4/2-mediated innate immune cell activation leading to DC maturation, and enhanced T cell immune responses including mixed CD4+ T cell polarization into Th1, Th2, Th17, and Treg subsets.</alt-text>
</graphic></fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The evolution of vaccination platforms from potent live attenuated/inactivated whole pathogens to safer and more economical subunit vaccines has taken a toll on their immunogenic potential, leading to the incorporation of adjuvants as an essential component of modern vaccines (<xref ref-type="bibr" rid="B38">38</xref>). The CMS adjuvant in the pipeline is a promising candidate to be added to the limited repertoire of safe and effective adjuvant systems approved for human use. The LiteVax&#x2122; formulation is a nano-emulsion composed of CMS, squalane, and Polysorbate 80. It forms droplets of approximately 80 nm. Its composition closely resembles widely used emulsion-based adjuvants such as MF59, which is a squalene-in-water emulsion stabilized by two non-ionic surfactants, Polysorbate 80 and Span 85.</p>
<p>However, it has been reported that MF59 adjuvant activity arises only from the complete formulation, as no single component exhibits intrinsic activity in isolation, either in an <italic>in vivo</italic> or <italic>in vitro</italic> setting (<xref ref-type="bibr" rid="B39">39</xref>). In contrast, CMS is a glycolipid similar to lipid A and monophosphoryl lipid A, and it shows inherent immunostimulatory properties. The LiteVax&#x2122; formulation combines these properties, where the emulsion serves as the delivery system of CMS, and CMS acts as the immunostimulatory agent, resulting in strong synergistic collaboration (<xref ref-type="bibr" rid="B25">25</xref>). Incorporating TLR agonists into oil-in-water emulsions has been demonstrated to enhance humoral and cellular immunity in preclinical studies (<xref ref-type="bibr" rid="B40">40</xref>&#x2013;<xref ref-type="bibr" rid="B43">43</xref>), underscoring the translational potential of the concept.</p>
<p>CMS adjuvant formulation has been shown to augment immune responses to inactivated whole virus A/H5N1 and A/H7N9 vaccines in ferrets, toward a recombinant malaria antigen in rabbits (<xref ref-type="bibr" rid="B44">44</xref>), and more recently against the Receptor Binding Domain (RBD) spike protein antigens derived from SARS-CoV-2 in mice, with higher efficacy than comparator adjuvants tested in parallel (<xref ref-type="bibr" rid="B45">45</xref>). Preclinical toxicity assessments in ferrets and Phase I clinical trials have established the safety and tolerability of CMS with licensed inactivated seasonal influenza vaccines (<xref ref-type="bibr" rid="B46">46</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>). CMS-adjuvanted low-dose vaccine (1/5<sup>th</sup> antigen dose) gave comparable humoral and cell-mediated immunogenicity as the standard full-dose unadjuvanted vaccine, demonstrating efficient dose-sparing potential (<xref ref-type="bibr" rid="B46">46</xref>). A Phase Ib clinical trial with full doses of vaccine with or without CMS in younger and older, healthy adults revealed an acceptable safety profile in both cohorts and enhanced humoral immune responses in older adults, highlighting the potential of this adjuvant to counteract immune senescence (<xref ref-type="bibr" rid="B48">48</xref>).</p>
<p>In this report, we have investigated the immunological and molecular mechanisms underlying CMS adjuvanticity in primary human immune cells using various <italic>in vitro</italic> systems. The ability of CMS to enhance antigen-specific CD4<sup>+</sup> and CD8<sup>+</sup> T cell responses to H1N1 HA peptide pools in human PBMC assays recapitulates the strong humoral and cellular responses observed in clinical trials with low-dose adjuvanted influenza vaccine (<xref ref-type="bibr" rid="B46">46</xref>). While antigenic peptides alone failed to significantly expand CD8<sup>+</sup> T cells, combining with the adjuvant substantially increased their frequency, pointing to the ability of CMS to promote cross-presentation and cytotoxic T lymphocyte activity. For a long time, the primary goal of vaccination strategies for respiratory viruses focused on the induction of neutralizing antibody responses. The recent severe SARS-CoV-2 variants shifted our attention to CD8<sup>+</sup> T cells, with growing evidence showing that even the variants that escaped from neutralizing antibodies could not escape CD8<sup>+</sup> T cells induced by mRNA and adenoviral vector vaccines (<xref ref-type="bibr" rid="B49">49</xref>). Influenza viruses are also typically known to escape from neutralizing antibodies <italic>via</italic> rapid mutations, and several studies have provided evidence for the protective role of cross-reactive CD8<sup>+</sup> T cells against pandemic flu (<xref ref-type="bibr" rid="B50">50</xref>).</p>
<p>These observations suggest that adjuvants capable of eliciting robust CD8<sup>+</sup> T cell responses might be particularly valuable for vaccines targeting highly variable respiratory pathogens. Our findings show that CMS drives strong antigen-specific CD4<sup>+</sup> and CD8<sup>+</sup> T cell responses <italic>in vitro</italic>, raising the possibility that CMS-adjuvanted recombinant influenza vaccines could enhance the magnitude and breadth of T cell immunity compared with antigen alone.</p>
<p>However, we did not assess <italic>in vivo</italic> protection or neutralizing antibody titers in this study. Therefore, any effect of CMS on vaccine efficacy, durability, or clinical benefit remains speculative. Future <italic>in vivo</italic> challenge studies, including detailed evaluation of neutralizing antibodies and cross-reactive CD8<sup>+</sup> T cells, will be necessary to determine whether CMS adjuvantation can enhance and sustain protective immunity against seasonal and potentially pandemic influenza strains.</p>
<p>Further, the adjuvant capacity of CMS has been tested against recombinant flu HA protein antigens of the H7N9 strain in human APCs <italic>in vitro</italic>. Though an earlier study reported that recombinant HA proteins of H1N1 and H5N1 Influenza A viruses effectively promoted the activation and maturation of mouse myeloid DCs (<xref ref-type="bibr" rid="B42">42</xref>), experiments with human DC-based systems (DC-cell line MUTZ-3 and monocyte-derived DCs) (<xref ref-type="bibr" rid="B51">51</xref>) revealed the inefficacy of subunit vaccines of H5N1 to induce DC maturation, in contrast to whole inactivated virus (<xref ref-type="bibr" rid="B52">52</xref>). Consistent with these data, we demonstrated that H7N9 HA alone failed to activate human DCs. Combined with CMS, however, H7N9 HA elicited potent activation of human APCs, as evidenced by the enhanced expression of co-stimulatory molecules and release of cytokines. Fluorescence microscopy confirmed active endocytosis of the antigen-adjuvant complex by DCs, although CMS did not directly increase HA uptake. Though some adjuvants have the capacity to enhance antigen uptake by APCs, others, including CMS, mainly function through stimulating innate immunity and optimizing antigen presentation to generate robust adaptive immune responses (<xref ref-type="bibr" rid="B53">53</xref>).</p>
<p>Next-generation vaccine platforms utilize various advanced technologies to design antigens with precise epitope selection, aiming to elicit targeted cellular responses and to shape the T-cell repertoire. The choice of adjuvant also plays a pivotal role in this aspect, as different adjuvants have distinct effects on the polarization of T-cell responses. For example, adjuvants such as CpG, Adjuvant System (AS; AS01, AS03, AS04), or mRNA-lipid nanoparticles tend to promote strong Th1-oriented immunity, whereas alum or MF59 more commonly induce Th2-biased responses (<xref ref-type="bibr" rid="B54">54</xref>, <xref ref-type="bibr" rid="B55">55</xref>). In our experiments, DCs stimulated with CMS supported the polarization of Th1, Th2, Th17, and FoxP3<sup>+</sup> CD4<sup>+</sup> T cell subsets using autologous total CD4<sup>+</sup> T cells. This broad induction of T helper lineages demonstrates the capacity of CMS to engage multiple CD4<sup>+</sup> differentiation pathways, potentially supporting both cytotoxic and humoral immunity. The induction of FoxP3<sup>+</sup> regulatory T cells alongside effector T cells could be beneficial by limiting excessive inflammation and thereby reducing reactogenicity, which may enhance the safety profile of adjuvanted vaccines (<xref ref-type="bibr" rid="B56">56</xref>). On the other hand, vaccine antigen&#x2013;specific Tregs can dampen responses to conserved epitopes (<xref ref-type="bibr" rid="B57">57</xref>), potentially complicating heterosubtypic protection. However, FoxP3 expression in human CD4<sup>+</sup> T cells at early stages of activation can also reflect transient activation of conventional T cells rather than stable regulatory T cells (<xref ref-type="bibr" rid="B58">58</xref>), and functional suppressive activity of the FoxP3<sup>+</sup> CD4<sup>+</sup> T cells population was not assessed in this study. Thus, while CMS clearly promotes a diverse phenotypic T helper response, the precise regulatory capacity of the FoxP3<sup>+</sup> CD4<sup>+</sup> T cell-and its biological significance in shaping vaccine-induced immunity-will require further functional and longitudinal investigation.</p>
<p>Despite strong evidence for the induction of immune responses by CMS in <italic>in vivo</italic> and <italic>in vitro</italic> systems, the receptors and the downstream signaling pathways involved in this process were not described. TLRs play a major role in innate immunity by responding to various pathogen-derived ligands, thereby activating various pro-inflammatory signaling pathways (<xref ref-type="bibr" rid="B59">59</xref>). Our transcriptomic profiling showed that stimulation of human DCs with CMS led to strong activation of innate immune signaling pathways that result in the upregulation of NF-&#x3ba;B, IL-1, MAPK, JAK-STAT, and Interferon pathways. Engagement of TLR-2/4 triggers MyD88/TRIF pathways that activate NF-&#x3ba;B and MAPKs, leading to rapid transcription of pro-inflammatory cytokines and co-stimulatory molecules as observed in our analysis. The concurrent induction of JAK-STAT and interferon pathways suggests that CMS also engages in the induction of interferons (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;4</bold></xref>). Thus, CMS appears to mimic key infection signals and play a key role in DC maturation by activating pro-inflammatory cytokines and co-stimulatory molecules essential for initiating adaptive immune responses.</p>
<p>Our RNA-seq analysis is based on a relatively small cohort (n = 3 donors per group), which represents a limitation of the study. This dataset was however generated as a mechanistic discovery cohort rather than a population-level study, and the transcriptomic results are therefore interpreted as hypothesis-generating and supported by complementary experimental and functional evidence presented in this report. Furthermore, principal component analysis (PCA) revealed clear separation between CMS and control samples along PC1, which explained most of the variance, indicating that biological condition was the dominant driver (<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary Figure&#xa0;5</bold></xref>). The within-group dispersion observed along PC2 likely reflects inter-donor variability rather than technical batch effects, particularly given the small sample size and uniform experimental processing. Consequently, no batch correction was applied to avoid removal of biological signal. Future studies incorporating larger and independent experimental cohorts would be valuable to further validate and extend these observations.</p>
<p>Key hub genes identified in the protein-protein interaction network (<xref ref-type="fig" rid="f6"><bold>Figure&#xa0;6A</bold></xref>) further highlighted the immunostimulatory effects of CMS. These genes play central role in DC functions: NFKB1 - a master regulator of inflammatory genes (<xref ref-type="bibr" rid="B60">60</xref>); IL-1B encodes for IL-1&#x3b2;, a potent pro-inflammatory cytokine produced by activated DCs (<xref ref-type="bibr" rid="B61">61</xref>); CXCL10, an interferon inducible chemokine recruits CXCR3<sup>+</sup> effector T cells and is characteristic of Th1-type responses (<xref ref-type="bibr" rid="B62">62</xref>); IRF1 drives the antigen presentation by amplifying the MHC expression (<xref ref-type="bibr" rid="B63">63</xref>), which is consistent with our observation of increased MHC-1/II expression in CMS-treated DCs. Upregulation of both the MHC classes substantiates our <italic>in vitro</italic> data showing that CMS enhances the ability of DCs to present antigens to both CD4<sup>+</sup> and CD8<sup>+</sup> T cells. Collectively, the enhanced antigen presentation signature underscores CMS&#x2019;s ability to strengthen the innate and adaptive interface, which is a prerequisite for robust vaccine responses (<xref ref-type="fig" rid="f8"><bold>Figure&#xa0;8</bold></xref>).</p>
<p>We have previously shown that the monosulphate group in CMS is indispensable for the adjuvanticity of CMS in DCs (<xref ref-type="bibr" rid="B26">26</xref>). Some endogenous ligands containing a sulfate group, namely heparan sulfate and sulphatides, are reported to act as TLR4 agonists (<xref ref-type="bibr" rid="B64">64</xref>, <xref ref-type="bibr" rid="B65">65</xref>). The binding of the sulfate group with TLR4 is also confirmed by the structural analysis of the binding of sulfatide with TLR4 (<xref ref-type="bibr" rid="B65">65</xref>), which activates MyD88 and TRIF-dependent signaling (<xref ref-type="bibr" rid="B66">66</xref>). Our experiments with THP-1 reporter assays demonstrated the activation of the NF-&#x3ba;B pathway in response to CMS, especially with the overexpression of the MD2-CD14-TLR4 receptor complex. Similar experiments were carried out previously with HEK reporter cells overexpressing the TLR4 receptor complex, which did not show any reporter activity with CMS stimulation (<xref ref-type="bibr" rid="B44">44</xref>), indicating that endocytic processing by APCs might be a prerequisite for TLR engagement by CMS. Functional blocking studies with TLR antagonists confirmed the role of TLR2 alongside TLR4 in CMS-induced activation of DCs. Although transcriptomic analysis revealed upregulation of TLR1, TLR2, and TLR6, the functional involvement of specific TLR2 heterodimers (TLR1/2 versus TLR2/6) remains unresolved. Heterodimer-specific neutralization assays will be required to address this question in future studies.</p>
<p>TLR4 and TLR2 both promote DC maturation by upregulating expression of CD80, CD86, and MHC-I/II. However, due to the TRIF pathway activated by TLR4, it gives a strong antiviral response, pushing DC toward a Th1 immune profile and enhancing cross presentation with CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="B67">67</xref>). While TLR2 gives a balanced immune response without strongly polarizing between Th1 and Th2. Experimental data have shown that compared to LPS-treated DC, TLR2 agonists such as SUP1 boost DC antigen presentation to CD4<sup>+</sup> T cells and enhance memory cell formation against the antigen (<xref ref-type="bibr" rid="B68">68</xref>). Moreover, TLR4 leads to sustained IL-10 production as the TRIF pathway has been shown to stabilize the IL-10 mRNA (<xref ref-type="bibr" rid="B69">69</xref>). Thus, in vaccine terms, concomitant engagement of TLR4 and 2 becomes more beneficial. These findings position CMS as a promising, compatible adjuvant that efficiently activates DCs <italic>via</italic> TLR-signaling and interferon pathways, augmenting cytokine and co-stimulatory molecule expression alongside antigen processing gene upregulation to mount a robust interface between innate sensing and adaptive immunity.</p>
<p>Our current study is limited to evaluating CMS-induced responses in PBMC-derived immune cell populations from healthy donors, which does not fully recapitulate the spatial and cellular complexity of immune activation <italic>in vivo</italic>. While these <italic>in vitro</italic> data provide initial mechanistic insight into early innate sensing and downstream activation, validation in relevant <italic>in vivo</italic> challenge models, such as mice or ferrets, will be essential to determine whether the CMS adjuvant enhances protective immunity and promotes robust neutralizing antibody responses. Such models will enable assessment of antigen-presenting cell activation, trafficking to draining lymph nodes, and the induction of germinal center reactions that support durable humoral immunity. Furthermore, single-cell transcriptomic profiling of PBMCs from clinical cohorts could provide an unbiased view of responsive innate subsets and T-cell polarization states. Together, these complementary approaches will enable validation of the primary target cell populations and elucidation of the receptor-mediated mechanisms of CMS within a more physiologically relevant setting with larger sample sizes, thereby strengthening the translational relevance of our findings and informing the rational optimization of CMS-based vaccine formulations.</p>
<p>In conclusion, this study provides proof of concept for the adjuvant activity of CMS against influenza HA antigens in <italic>in vitro</italic> immune cell systems. CMS induces strong antigen-specific T cell responses, especially CD8<sup>+</sup> T cell responses to HA antigens in human PBMCs. Furthermore, CMS enhances the immunostimulatory potential of recombinant H7N9 HA antigen on APCs and induces a mixed effector T cell polarization. Mechanistically, CMS activates the TLR4 and TLR2-associated signaling, leading to cytokine/chemokine secretion that promotes innate immune cell recruitment, activation, and antigen presentation to T cells, thereby supporting strong humoral and cellular immune responses. Further evaluation of the adjuvant antigen formulation in appropriate animal models of various age groups (<xref ref-type="bibr" rid="B70">70</xref>) is warranted to assess the generation of neutralizing antibodies against the recombinant vaccine antigens and protection against influenza infection. Our results underscore the potential of the CMS recombinant HA antigen formulation for further clinical development and help in the design of effective novel vaccine adjuvant formulations to protect the vulnerable population from influenza-related complications. </p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: GSE318332 (GEO).</p></sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by Institut National de la Sant&#xe9; et de la Recherche-EFS ethical committee convention 18/EFS/033. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p></sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>SVR: Methodology, Formal analysis, Writing &#x2013; original draft, Investigation, Data curation. SCS: Methodology, Writing &#x2013; original draft, Formal analysis, Investigation. SRB: Formal analysis, Methodology, Writing &#x2013; review &amp; editing, Investigation. CC: Investigation, Writing &#x2013; review &amp; editing, Methodology. MJM: Data curation, Resources, Software, Investigation, Writing &#x2013; review &amp; editing. IBN: Writing &#x2013; review &amp; editing, Investigation, Methodology. CB: Investigation, Writing &#x2013; review &amp; editing, Software, Methodology. LH: Writing &#x2013; review &amp; editing, Methodology, Resources. MS: Resources, Writing &#x2013; review &amp; editing, Investigation. PPP: Methodology, Writing &#x2013; review &amp; editing, Resources. JB: Resources, Formal Analysis, Funding acquisition, Project administration, Supervision, Conceptualization, Writing &#x2013; review &amp; editing.</p></sec>
<ack>
<title>Acknowledgments</title>
<p>We acknowledge support from the staff of the Centre d&#x2019;Histologie, d&#x2019;Imagerie et de Cytom&#xe9;trie, Centre de Recherche des Cordeliers, Paris, France, and the High-performance computing facility (HPC) &#x2018;Madhava Cluster&#x2019; at IIT Palakkad, India.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>Authors IBN and MS were employed by company ExpresS2ion Biotechnologies. Author CB was employed by company EpiVax. Authors LH and PPP were employed by company LiteVax B.V. LH and PPP are co-inventors on a patent application covering the use of CMS as a vaccine adjuvant. All rights have been assigned to LiteVax BV. LH and PPP hold shares in LiteVax BV.</p>
<p>The remaining author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
<p>The author JB declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p></sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p></sec>
<sec id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p></sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fimmu.2026.1787181/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2026.1787181/full#supplementary-material</ext-link></p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/></sec>
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<fn id="n1" fn-type="custom" custom-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/24906">Uday Kishore</ext-link>, United Arab Emirates University, United Arab Emirates</p></fn>
<fn id="n2" fn-type="custom" custom-type="reviewed-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/419916">Katerina A. Chlichlia</ext-link>, Democritus University of Thrace, Greece</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3352478">Venugopal Gunda</ext-link>, University of Virginia, United States</p></fn>
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</back>
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