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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Immunol.</journal-id>
<journal-title>Frontiers in Immunology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Immunol.</abbrev-journal-title>
<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.2024.1504935</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Immunogenicity of the CoronaVac vaccine in children: a real-world study</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Aguilar-Jimenez</surname>
<given-names>Wbeimar</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Rodriguez-Perea</surname>
<given-names>Ana Lucia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Chvatal-Medina</surname>
<given-names>Mateo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Velilla</surname>
<given-names>Paula A.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1303174"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zapata-Builes</surname>
<given-names>Wildeman</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Monsalve-Escudero</surname>
<given-names>Laura M.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2916049"/>
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<contrib contrib-type="author">
<name>
<surname>Zapata-Cardona</surname>
<given-names>Maria I.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Tabares-Guevara</surname>
<given-names>Jorge Humberto</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Rinco&#x301;n</surname>
<given-names>Daniel S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Hernandez</surname>
<given-names>Juan C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Tabares</surname>
<given-names>Yulied</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Lopez-Carvajal</surname>
<given-names>Liliana</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Rugeles</surname>
<given-names>Maria T.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Grupo Inmunovirolog&#xed;a, Facultad de Medicina, Universidad de Antioquia UdeA</institution>, <addr-line>Medell&#xed;n</addr-line>, <country>Colombia</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Grupo Infettare, Universidad Cooperativa de Colombia</institution>, <addr-line>Medell&#xed;n</addr-line>, <country>Colombia</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Grupo de Investigaci&#xf3;n Cl&#xed;nica PECET (GIC-PECET), Universidad de Antioquia</institution>, <addr-line>Medell&#xed;n</addr-line>, <country>Colombia</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Ang Lin, China Pharmaceutical University, China</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Shi-Yu Sun, China Pharmaceutical University, China</p>
<p>Guan Wang, Dalian Medical University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Wbeimar Aguilar-Jimenez, <email xlink:href="mailto:wbeimar.aguilar@udea.edu.co">wbeimar.aguilar@udea.edu.co</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1504935</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>10</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>28</day>
<month>11</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Aguilar-Jimenez, Rodriguez-Perea, Chvatal-Medina, Velilla, Zapata-Builes, Monsalve-Escudero, Zapata-Cardona, Tabares-Guevara, Rinco&#x301;n, Hernandez, Tabares, Lopez-Carvajal and Rugeles</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Aguilar-Jimenez, Rodriguez-Perea, Chvatal-Medina, Velilla, Zapata-Builes, Monsalve-Escudero, Zapata-Cardona, Tabares-Guevara, Rinco&#x301;n, Hernandez, Tabares, Lopez-Carvajal and Rugeles</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). 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.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>Despite its proven effectiveness and safety, there are limited real-world data on CoronaVac&#x2019;s immunogenicity in children, especially in lower-income countries, particularly for SARS-CoV-2 variants. We present a real-world study evaluating CoronaVac&#x2019;s immunogenicity in Colombian children stratified by previous exposure to this virus.</p>
</sec>
<sec>
<title>Methods</title>
<p>89 children aged 3-11 years were enrolled (50 Non-Exposed and 39 Exposed). Saliva samples were collected every 15 days to monitor potential SARS-CoV-2 infection, and blood samples were taken at two and six months after vaccination, to evaluate immunogenicity. Total IgG and IgA antibodies were measured by ELISA, and neutralizing titers against B.1, Delta, Mu, and Omicron variants were assessed by plaque reduction assay. T-cells were stimulated with wild-type and Omicron peptide pools to analyze activation-induced markers, memory phenotype, cytotoxic molecules, and cytokine production by flow cytometry.</p>
</sec>
<sec>
<title>Findings</title>
<p>CoronaVac was well tolerated, with only 7.8% infection incidence in both Exposed and Non-Exposed groups. It elicits a robust humoral response through IgG, IgA, and neutralizing antibodies against all variants. Despite waning, most participants maintained neutralizing titers &#x2265;20 over time. CoronaVac also induced a polyfunctional cellular response against various strains, albeit reduced against Omicron, regardless of prior exposure. This response, characterized by IFN-&#x3b3;/TNF-&#x3b1; and cytotoxic molecule production, was more pronounced in CD4<sup>+</sup> than in CD8<sup>+</sup> T-cells and remained detectable even after 6 months.</p>
</sec>
<sec>
<title>Interpretation</title>
<p>CoronaVac induces robust humoral and cellular immune responses against various variants in children, suggesting cross-recognition. However, these responses diminish over time, particularly in the context of variants, indicating the need for booster doses.</p>
</sec>
</abstract>
<kwd-group>
<kwd>real-world study</kwd>
<kwd>COVID-19 vaccine</kwd>
<kwd>children</kwd>
<kwd>immunogenicity</kwd>
<kwd>neutralizing antibodies</kwd>
<kwd>omicron variant</kwd>
<kwd>CoronaVac</kwd>
<kwd>cellular response</kwd>
</kwd-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="52"/>
<page-count count="14"/>
<word-count count="6458"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Vaccines and Molecular Therapeutics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Despite the competence of the adaptive immune response against SARS-CoV-2, residual memory after natural infection is often insufficient to prevent reinfection. Vaccines have been crucial for mitigating morbidity and mortality around the globe but are susceptible to the same problem, due to the emergence of variants with critical antigenic drift (<xref ref-type="bibr" rid="B1">1</xref>). Consequently, continued efforts have been made to evaluate the effectiveness and safety of the available vaccines, mainly focusing on the study of humoral immune responses. Although less studied, cellular immunity appears to be a protagonist, as compelling evidence has pointed to the importance of cross-reactivity and preserved response to novel variants even with waning antibodies (<xref ref-type="bibr" rid="B2">2</xref>).</p>
<p>Over 3 million Colombian children have received at least one dose of CoronaVac (Sinovac) (<xref ref-type="bibr" rid="B2">2</xref>). Initially, Colombian children from 3-11 years old were vaccinated exclusively with CoronaVac since national regulatory guidelines only allowed the administration of this vaccine to this age group, which also created a unique opportunity to evaluate the immunogenicity under real life conditions (<xref ref-type="bibr" rid="B3">3</xref>). However, despite impressive public health efforts, further studies evaluating immune response kinetics and immunogenicity in real-world scenarios in vaccinated children are needed. Undoubtedly, it is necessary to assess its impact on protection against disease and to evaluate the waning of immunity in this population.</p>
<p>Although valuable evidence has surfaced, most of it comes from phase 1-3 studies, which often lack factors representing real-world conditions, particularly in children who are underrepresented in research. This is particularly true in Latin America, where socioeconomic inequalities deepen the necessity for such studies.</p>
<p>Notably, CoronaVac-vaccinated children from Chile showed robust CD4+ responses against structural proteins (S, N, and M), and remarkable AIM+ T-cell responses against Omicron (<xref ref-type="bibr" rid="B4">4</xref>). However, this phase 3 study lacked polyfunctional characterization of cellular responses as well as differential responses to specific SARS-CoV-2 variants or effects of hybrid immunity.</p>
<p>Consequently, we designed this study to describe and determine the characteristics of adaptive immune responses against SARS-CoV-2 in children aged 3-11 years old, comparing those exclusively immunized with CoronaVac to those with hybrid immunity due to exposure or infection with SARS-CoV-2, and further boosting with CoronaVac, seeking to provide evidence on the vaccine&#x2019;s neutralizing response and cellular response against several variants of SARS-CoV-2.</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>Study design</title>
<p>A prospective longitudinal cohort study was conducted in Medell&#xed;n, Colombia (June 2022 to July 2023). It involved fully vaccinated children aged 3-11 years who received two doses (0.5mL ~600SU each) of CoronaVac<sup>&#xae;</sup> vaccine (Sinovac Life Sciences), with an interdose interval of 28-100 days. The study was semi-blinded, with analysts unaware of exposure status until sample processing was completed.</p>
<p>The children were classified into two groups: &#x201c;Exposed&#x201d; and &#x201c;Non-Exposed.&#x201d; The &#x201c;Exposed&#x201d; group included children who met at least one of the following criteria before vaccination: (1) documented SARS-CoV-2 infection confirmed by antigen or RT-PCR testing, or (2) a reported history of close contact with a household member who tested positive for COVID-19 within 14 days of the household member&#x2019;s diagnosis. The &#x201c;Non-Exposed&#x201d; group included children who did not meet either criterion.</p>
<p>Saliva was collected with DNA/RNA shield (Zymo, USA) every 15 days for SARS-CoV-2 testing via RT&#x2212;qPCR, and blood was drawn at 2- and 6-months post-vaccination for immune response evaluation (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). Data related to the safety of the vaccine were also recorded. The reagents used are detailed in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S1</bold>
</xref>. The study adhered to Helsinki Declaration and Resolution 8430 of 1993 of the Minister of Health of Colombia (mainly Chapter III &#x201c;Research on minors&#x201d;). It was approved by the Ethics Committee of the Universidad de Antioquia (Act 027/2022).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>
<bold>(A)</bold> Flow diagram representing the inclusion and follow-up of study participants: The graph describes the number of screened volunteers, exclusion before assignment into groups according to their exposure status, and the final distribution of the included children at the end of the follow-up. <bold>(B)</bold> Saliva and blood collection at the 9 time points throughout the follow-up. From the initial samples of both saliva and blood, saliva samples were withdrawn every 15 days for monitoring for SARS-CoV-2 infection, up to the final withdrawal at six months post-vaccination, when both saliva and blood samples were taken. m, months.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504935-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Detection of the SARS-CoV-2 viral genome by RT&#x2212;qPCR</title>
<p>The RNA was extracted from saliva samples using a SaMag viral nucleic acid extraction kit and a SaMag-12 nucleic acid extractor (Sacace Biotechnologies, IT). RT&#x2212;qPCR was performed using a BGI 2019-nCoV RT&#x2212;PCR kit on a CFX-96 thermal cycler (Bio-Rad, USA).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Plasma and peripheral blood mononuclear cell collection</title>
<p>Plasma was obtained by centrifuging blood at 800 &#xd7; g for 10 minutes and stored at -80&#xb0;C. Peripheral blood mononuclear cells (PBMCs) were isolated using Ficoll-Histopaque centrifugation gradient.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Quantification of antibodies against S and N SARS-CoV-2 proteins by ELISA</title>
<p>Anti-S IgG and anti-S/anti-N IgA antibodies against SARS-CoV-2 (Wuhan P0DTC2 and YP_009724397) were detected in plasma by ELISA (MyBioSource. MBS7612298/MBS7612290) following the manufacturers&#x2019; recommendations.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Viruses</title>
<p>Colombian SARS-CoV-2 isolates were used for neutralization assays: An ancestral WT lineage (B.1, EPI_ISL_536399), Delta (B.1.617.2, EPI_ISL_5103929), Mu (B.1.621, EPI_ISL_4005445), and Omicron (BA.1.1, EPI_ISL_8374770). Virus manipulation was conducted in a biosafety level-3 laboratory.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Plaque reduction neutralizing antibody assays</title>
<p>Neutralizing antibody titers from plasma were assessed via a plaque reduction neutralization test (PRNT) as previously described (<xref ref-type="bibr" rid="B5">5</xref>), using serial dilutions (1:20 to 1:5120) of heat-inactivated plasma mixed with 200 PFU/0.1 mL of each virus, and incubated with Vero E6 cells (ATCC CRL-1586). For Omicron, 15 &#xb5;g/mL of trypsin-EDTA was added before incubation. After 4-5 days, plaques were counted (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>), and titers were measured as the dilution required to neutralize 50% of the viral plaque formation (PRNT50). A titer of &#x2265;20 was considered positive for SARS-CoV-2 neutralizing antibodies (<xref ref-type="bibr" rid="B6">6</xref>).</p>
</sec>
<sec id="s2_7">
<label>2.7</label>
<title>SARS-CoV-2 peptides</title>
<p>Pools of lyophilized SARS-CoV-2 peptides (&gt;70% purity by HPLC and MS, from GenScript, China) derived from WT and Omicron were designed based on literature and peptide affinity to human leukocyte antigens (HLAs) prevalent in Colombia (<xref ref-type="bibr" rid="B7">7</xref>) using TepiTool (<ext-link ext-link-type="uri" xlink:href="http://tools.iedb.org/tepitool/">http://tools.iedb.org/tepitool/</ext-link>). Each pool (WT and Omicron) consisted of 117 peptides (8&#x2013;22 aa in length), 52 lineage-specific, and 65 conserved, from the spike (S), envelope (E) membrane (M) and nucleocapsid (N) proteins (<xref ref-type="supplementary-material" rid="SM2">
<bold>Supplementary Table S2</bold>
</xref>). The peptides were reconstituted at 2000 &#xb5;g/mL in DMSO.</p>
</sec>
<sec id="s2_8">
<label>2.8</label>
<title>T-cell stimulation cultures</title>
<p>Thawed PBMCs from 34 children (17 per group) were cultured in 96-well V-bottom plates at 8x10<sup>5</sup> cells/mL in RPMI-1640 medium with 10% FBS, stimulated with 1 &#xb5;g/mL anti-CD28 and anti-CD49d antibodies along with 5 &#xb5;g/mL peptides from WT or Omicron for 18 hours at 37&#xb0;C. Unstimulated PBMCs with the same antibodies and DMSO concentrations as the peptides served as negative controls (background). PBMCs stimulated with 10 &#xb5;g/mL phytohemagglutinin or 40 ng/mL PMA and 500 ng/mL ionomycin were used as positive controls. All conditions included anti-human CD107a.</p>
</sec>
<sec id="s2_9">
<label>2.9</label>
<title>Activation-induced marker assay</title>
<p>The PBMCs were stimulated as described above, labeled with the antibodies for AIM at 4&#xb0;C for 30 minutes, acquired on an LSR Fortessa flow cytometer (Becton Dickinson, BD) and analyzed using FlowJo Software V10.9.0 (Tree Star, Inc., Ashland, USA). AIM<sup>+</sup> CD4<sup>+</sup> T-cells (CD137<sup>+</sup>OX40<sup>+</sup> and OX40<sup>+</sup>CD25<sup>+</sup>) and AIM<sup>+</sup> CD8<sup>+</sup> T-cells (CD69<sup>+</sup>CD137<sup>+</sup> and CD25<sup>+</sup>CD107<sup>+</sup>) were detected. The data were reported after background subtraction. Responder&#x2019;s percentage was set at 0.02% for CD4<sup>+</sup> and CD8<sup>+</sup> T-cells. The differentiation state of AIM<sup>+</sup> T-cells was evaluated by examining central, effector memory, and terminally differentiated (TEMRA) cell subpopulations.</p>
</sec>
<sec id="s2_10">
<label>2.10</label>
<title>Intracellular cytokine staining</title>
<p>After PBMCs stimulation as before, this time adding 10 &#xb5;g/mL brefeldin A/monensin, cells were labeled with Viability Dye, anti-CD3, anti-CD4, and anti-CD8 at 4&#xb0;C for 30 minutes. Then, cells were fixed and permeabilized using FoxP3/transcription factor staining buffer and labeled with antibodies against IFN-&#x3b3;, TNF-&#x3b1;, IL-2, IL-10, perforin, and granzyme B at 4&#xb0;C for 30 minutes. At least 100,000 events were acquired on an LSR Fortessa cytometer (BD) and analyzed using FlowJo V10.9.0 (Tree Star). Compensation for fluorochrome spillover was achieved using unstained and single-stained cells with each antibody.</p>
<p>Data was reported after background subtraction. Polyfunctional T-cells were evaluated using Boolean analysis and SPICE software v6.1 (Vaccine Research Center, NIAID/NIH, USA). Responders were defined as individuals with a value &gt;0.001 after background subtraction. The polyfunctional index was obtained using the Funky Cells Toolbox, version 0.1.0 beta (<ext-link ext-link-type="uri" xlink:href="http://www.funkycells.com/main">http://www.funkycells.com/main</ext-link>).</p>
</sec>
<sec id="s2_11">
<label>2.11</label>
<title>Cytokine measurement by cytometric bead array</title>
<p>The CBA Enhanced Sensitivity Flex Set system (BD) was used to detect IL-6, IL-10, IL-2, IL-4, and IL-17a levels in supernatants of PBMCs stimulated with SARS-CoV-2 peptides after background subtraction, according to the manufacturer&#x2019;s instructions. Fluorescence was determined using flow cytometry (CitoFLEX, Beckman Coulter), and cytokine levels were analyzed using FlowJo V10.9.0 (Tree Star).</p>
</sec>
<sec id="s2_12">
<label>2.12</label>
<title>Statistical analysis</title>
<p>Since the data were not normally distributed according to the Shapiro-Wilk test, nonparametric tests were used for analysis, except for total specific anti-SARS-CoV-2 IgG and IgA, which were analyzed using paired T-tests. The Wilcoxon test estimated differences over time for each variant. The Mann-Whitney test compared Non-Exposed and Exposed at the same time point. The Wilcoxon or Friedman/Dunn correction tests compared variants/lineages for each group. For neutralizing antibodies, the geometric mean titer (GMT) and fold-change of the variants compared to the ancestral lineage were described. Statistical analysis and graphics were generated using GraphPad Prism 10.0.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Sociodemographic characteristics and incidence of infection</title>
<p>Out of the 92 screened volunteers, 89 initiated the four-month follow-up. There were no differences in sex or age between Exposed and Non-Exposed children. Among the 7 children who tested positive for SARS-CoV-2 during the follow-up, 3 had a history or epidemiological link to SARS-CoV-19 infection, and 2 reported mild symptoms, with no differences between the Exposed and Non-Exposed groups (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>). A total of 84 children (94.4%) completed the follow-up to evaluate the immunogenicity of CoronaVac<sup>&#xae;</sup>; 38 were allocated to the &#x201c;Exposed&#x201d; and 46 to the &#x201c;Non-Exposed&#x201d; group. Reasons for withdrawal are shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Age and sex distribution of participants.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" rowspan="2" colspan="2" align="left"/>
<th valign="middle" colspan="2" align="left">History of COVID-19 before vaccination</th>
</tr>
<tr>
<th valign="middle" align="left">Non-Exposed<break/>n=50</th>
<th valign="middle" align="left">Exposed<break/>n=39</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="2" align="left">Sex</td>
<td valign="middle" align="left">Female (%)</td>
<td valign="middle" align="left">34 (68)</td>
<td valign="middle" align="left">21 (53.8)</td>
</tr>
<tr>
<td valign="middle" align="left">Male (%)</td>
<td valign="middle" align="left">16 (32)</td>
<td valign="middle" align="left">18 (46.2)</td>
</tr>
<tr>
<td valign="middle" align="left">Age (years)</td>
<td valign="middle" align="left">Median (IQR)</td>
<td valign="middle" align="left">3 (3 &#x2013; 6)</td>
<td valign="middle" align="left">4 (3 &#x2013; 7)</td>
</tr>
<tr>
<td valign="middle" align="left">Positivity by PCR during follow-up</td>
<td valign="middle" align="left">Number (%)</td>
<td valign="middle" align="left">4 (8.0%)</td>
<td valign="middle" align="left">3 (7.7%)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>IQR, Interquartile range.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Safety and reactogenicity</title>
<p>The predominant adverse event post-vaccination was pain at the injection site (30%), and the most frequent systemic adverse event was fever following both doses. There were no significant differences in the evaluated effects between doses or exposure status, but &#x201c;other&#x201d; effects showed a significant association (related to respiratory symptoms) with exposure status (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Relationship of local and systemic vaccine adverse events.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" rowspan="2" colspan="2" align="left">Adverse Event</th>
<th valign="middle" colspan="2" align="center">First dose</th>
<th valign="middle" colspan="2" align="center">Second dose</th>
<th valign="middle" rowspan="2" align="center">p<sup>1</sup> value<break/>*</th>
<th valign="middle" rowspan="2" align="center">p<sup>1</sup> value<break/>**</th>
</tr>
<tr>
<th valign="middle" align="center">Non-Exposed<break/>n=50 (%)</th>
<th valign="middle" align="center">Exposed<break/>n=39 (%)</th>
<th valign="middle" align="center">Non-Exposed<break/>n=50 (%)</th>
<th valign="middle" align="center">Exposed<break/>n=39 (%)</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="middle" rowspan="4" align="left">
<bold>Local</bold>
</td>
<td valign="middle" align="left">Local warmth</td>
<td valign="middle" align="center">7 (14)</td>
<td valign="middle" align="center">6 (15.4)</td>
<td valign="middle" align="center">3 (6)</td>
<td valign="middle" align="center">5 (12.8)</td>
<td valign="middle" align="center">0.26</td>
<td valign="middle" align="center">0.37</td>
</tr>
<tr>
<td valign="middle" align="left">Erythema</td>
<td valign="middle" align="center">5 (10)</td>
<td valign="middle" align="center">5 (12.8)</td>
<td valign="middle" align="center">3 (6)</td>
<td valign="middle" align="center">5 (12.8)</td>
<td valign="middle" align="center">0.26</td>
<td valign="middle" align="center">0.26</td>
</tr>
<tr>
<td valign="middle" align="left">Swelling</td>
<td valign="middle" align="center">5 (10)</td>
<td valign="middle" align="center">1 (2.6)</td>
<td valign="middle" align="center">3 (6)</td>
<td valign="middle" align="center">2 (5.1)</td>
<td valign="middle" align="center">0.86</td>
<td valign="middle" align="center">0.24</td>
</tr>
<tr>
<td valign="middle" align="left">Local pain</td>
<td valign="middle" align="center">19 (38)</td>
<td valign="middle" align="center">12 (30.8)</td>
<td valign="middle" align="center">15 (30)</td>
<td valign="middle" align="center">10 (25.6)</td>
<td valign="middle" align="center">0.65</td>
<td valign="middle" align="center">0.88</td>
</tr>
<tr>
<td valign="middle" rowspan="10" align="left">
<bold>Systemic</bold>
</td>
<td valign="middle" align="left">Fever</td>
<td valign="middle" align="center">10 (20)</td>
<td valign="middle" align="center">4 (10.3)</td>
<td valign="middle" align="center">3 (6)</td>
<td valign="middle" align="center">6 (15.4)</td>
<td valign="middle" align="center">0.15</td>
<td valign="middle" align="center">0.96</td>
</tr>
<tr>
<td valign="middle" align="left">Fatigue/malaise</td>
<td valign="middle" align="center">6 (12)</td>
<td valign="middle" align="center">1 (2.6)</td>
<td valign="middle" align="center">4 (8)</td>
<td valign="middle" align="center">2 (5.1)</td>
<td valign="middle" align="center">0.59</td>
<td valign="middle" align="center">0.10</td>
</tr>
<tr>
<td valign="middle" align="left">Headache</td>
<td valign="middle" align="center">4 (8)</td>
<td valign="middle" align="center">2 (5.1)</td>
<td valign="middle" align="center">2 (4)</td>
<td valign="middle" align="center">1 (2.6)</td>
<td valign="middle" align="center">0.71</td>
<td valign="middle" align="center">0.50</td>
</tr>
<tr>
<td valign="middle" align="left">Shivering</td>
<td valign="middle" align="center">2 (4)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Diarrhea</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">1 (2.6)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Vomiting</td>
<td valign="middle" align="center">1 (2)</td>
<td valign="middle" align="center">1 (2.6)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Abdominal pain</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">1 (2.6)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Myalgias/Arthralgias</td>
<td valign="middle" align="center">3 (6)</td>
<td valign="middle" align="center">3 (7.7)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">2 (5.1)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Rash</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">1 (2.6)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">0 (0)</td>
<td valign="middle" align="center">NA</td>
<td valign="middle" align="center">NA</td>
</tr>
<tr>
<td valign="middle" align="left">Other: cough, nasal congestion and runny nose</td>
<td valign="middle" align="center">1 (2)</td>
<td valign="middle" align="center">5 (12.8)</td>
<td valign="middle" align="center">1 (2)</td>
<td valign="middle" align="center">4 (10.3)</td>
<td valign="middle" align="center">0.09</td>
<td valign="middle" align="center">0.007</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<sup>1</sup>Chi-squared test. NA, Non-applicable, some cells are empty. *Difference between vaccine doses.</p>
</fn>
<fn>
<p>**Difference between groups (No Exposed vs. Exposed). p-value &gt;0.05 is considered significant.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>CoronaVac<sup>&#xae;</sup> induces a robust humoral response with neutralizing capacity against SARS-CoV-2 variants</title>
<p>Circulating SARS-CoV-2-specific IgG (anti-S) and IgA (anti-S/anti-N) antibodies were measured. All children exhibited substantial levels of specific IgG and IgA, 2 months post-vaccination, which significantly decreased at 6 months post-vaccination, by at least 45.5% for IgG and by 42.2% for IgA, regardless of SARS-CoV-2 exposure (p&lt;0.0001, <xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2A, B</bold>
</xref>). Furthermore, the IgG and IgA titers were positively correlated (r=0.50, p&lt;0.0001). <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Specific IgG, IgA and neutralizing antibody titers after receiving a complete vaccine scheme according to SARS-CoV-2 exposure: Antibody titers were quantified by ELISA and reported as ng/mL. Anti-S (WT strain) IgG antibodies titers <bold>(A)</bold> and Anti-S/anti-N (WT strain) IgA antibodies titers <bold>(B)</bold> in Non-Exposed and Exposed subjects. Pearson correlation analysis of IgG anti-S SARS-CoV-2 titers vs IgA anti-S/anti-N SARS-CoV-2 titers (r = 0.5000, p&lt;0.0001) <bold>(C)</bold>. Neutralizing titers (PRNT50) of CoronaVac-vaccinated individuals against an ancestral lineage (D614G strain) and three SARS-CoV-2 variants (Delta, Mu, and Omicron) determined via a 50% plaque reduction neutralization test are shown. The figures show the results at two- and six-months post-vaccination in 46 Non-Exposed (NE) and 38 Exposed <bold>(E)</bold> subjects. Statistical comparisons for <bold>(A, B)</bold> were conducted using a paired T-test, while for <bold>(D)</bold>, a Wilcoxon test was employed. In <bold>(E)</bold> the bars represent the geometric mean titer (GMT) of the PRNT50s, along with their 95% confidence intervals (CIs). The fold change in GMTs among variants/lineages is depicted. The Friedman and Dunn tests were employed for multiple comparisons to compare the neutralizing titers among the variants for each exposure group and time point. Seven children who tested positive for SARS-CoV-2 by RT-PCR during this study are represented by triangles in the figures. <bold>(D, E)</bold> display the frequency of responders, representing individuals with antibody titers &gt;20. *p&lt;0.05, **p&lt;0.01, ***p&lt;0.001, ****p&lt;0.0001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504935-g002.tif"/>
</fig>
<p>Neutralizing activity (PRNT50 titers &#x2265;20) against B.1 and three variants was observed in &gt;96% of subjects two months post-vaccination and remained at over 91.7% at six months post-vaccination (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2D, E</bold>
</xref>). The PRNT50 GMT against Delta and Mu (after two and six months), and against Omicron (at two months) was greater than against B.1 in both Exposed and Non-Exposed subjects, with most differences being statistically significant (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref>). Although the median PRNT50 titers against the ancestral strain remained stable over time in both groups, significantly lower PRNT50 titers against Delta (p=0.004), Mu (p=0.0003), and Omicron (p&lt;0.0001) were detected in the Exposed group at six months post-vaccination compared to two months. In Non-Exposed children, the reduction in neutralizing titers over time was observed only against Omicron (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>, p=0.0034).</p>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>CoronaVac<sup>&#xae;</sup> induces AIM+ and cytokine-producing WT- and omicron-specific CD4<sup>+</sup> and CD8<sup>+</sup> T-cells</title>
<p>Cellular responses to the SARS-CoV-2 peptide pool through an AIM assay (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>) revealed that most vaccinated children had detectable virus-specific AIM<sup>+</sup>CD4<sup>+</sup> (coexpressing either CD137/OX40 or OX40/CD25), irrespective of the SARS-CoV-2 variant (WT or Omicron), SARS-CoV-2-exposure, or time post-vaccination (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Frequency of AIM<sup>+</sup>OX40<sup>+</sup> cells and memory profile after two doses of the CoronaVac vaccine: The percentages of AIM+CD4+ T-cells (CD137+OX40+) <bold>(A)</bold>, AIM+CD4+ T-cells (OX40<sup>+</sup>CD25<sup>+</sup>) <bold>(B)</bold>, AIM<sup>+</sup>CD8<sup>+</sup> T-cells (CD69<sup>+</sup>CD137<sup>+</sup>) <bold>(C)</bold>, and AIM<sup>+</sup>CD8<sup>+</sup> T-cells (CD25<sup>+</sup>CD107a<sup>+</sup>) <bold>(D)</bold> in response to peptide pools from the WT strain and the Omicron variant are shown (n=17 per group), gated from CD4<sup>+</sup> T and CD8<sup>+</sup> T-cells, respectively. AIM<sup>+</sup> T-cells were determined after subtracting the values obtained for the negative control, and individual values for AIM<sup>+</sup> <bold>(A&#x2013;D)</bold> are depicted. In the figures, four out of seven children who tested positive for SARS-CoV-2 by RT-PCR during this study and evaluated for cellular response are represented by triangles. The proportions of naive/memory T-cells that were SARS-CoV-2-specific CD4<sup>+</sup> (CD137<sup>+</sup>OX40<sup>+</sup>) <bold>(E)</bold> and CD8+ (CD69<sup>+</sup>CD137<sup>+</sup>) <bold>(F)</bold> T-cells according to the AIM. CM, central memory; TEMRA, terminally differentiated cell; EM, effector memory. The responses 2 and 6 months after vaccination in Exposed and Non-Exposed individuals were compared using a Wilcoxon paired test (*p&lt;0.05 and **p&lt;0.01).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504935-g003.tif"/>
</fig>
<p>In contrast, the frequency of AIM<sup>+</sup>CD8<sup>+</sup> T-cells (CD69<sup>+</sup>CD137<sup>+</sup>) in response to Omicron was lower than to WT in both Exposed (p=0.043) and Non-Exposed (p=0.011) at 6 months post-vaccination (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). The CD25/CD107a combination also detected these differences at 2 months post-vaccination (p&lt;0.05, <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3D</bold>
</xref>). More children responded through AIM<sup>+</sup>CD4<sup>+</sup> than AIM<sup>+</sup>CD8<sup>+</sup> T-cells (p&lt;0.05, Fisher&#x2019;s test), regardless of the variant or time post-vaccination. Neither variants, exposure status, nor time post-vaccination affected the memory profile of virus-specific T-cells, with predominant central memory CD4<sup>+</sup> T-cells and effector memory CD8<sup>+</sup> T-cells (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3E, F</bold>
</xref>).</p>
<p>Cytokine and cytotoxic molecule production were subsequently analyzed in CD4<sup>+</sup> and CD8<sup>+</sup> T-cells after peptide stimulation (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>). Lower frequencies of IFN-&#x3b3;<sup>+</sup>CD4<sup>+</sup> (p<italic>=</italic>0.0041), TNF-&#x3b1;<sup>+</sup>CD4<sup>+</sup> (p<italic>=</italic>0.0380) and IL-2<sup>+</sup>CD4<sup>+</sup> T-cells (p<italic>=</italic>0.0214) were observed in response to Omicron than WT in the Exposed children, at 2 months post-vaccination; however, this response decreased over time, only in response to WT (IFN-&#x3b3;<sup>+</sup>CD4<sup>+</sup>; p=0.0017, TNF-&#x3b1;<sup>+</sup>CD4<sup>+</sup>; p<italic>=</italic>0.0239 and IL-2<sup>+</sup>CD4<sup>+</sup>; p<italic>=</italic>0.0289. <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A&#x2013;C</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Cytokine- and cytotoxicity-mediated CD4<sup>+</sup> and CD8<sup>+</sup> T-cell responses to the WT strain and the Omicron variant: The frequencies of CD4<sup>+</sup> T-cells positive for IFN-&#x3b3; <bold>(A)</bold>, TNF-&#x3b1; <bold>(B)</bold>, IL-2 <bold>(C)</bold>, CD107a/Granzyme B coexpression <bold>(D)</bold>, CD8<sup>+</sup> T-cells positive for IFN-&#x3b3; <bold>(E)</bold>, TNF-&#x3b1; <bold>(F)</bold>, and IL-2 <bold>(G)</bold> and CD107a expression <bold>(H)</bold> and CD107a/perforin coexpression <bold>(I)</bold> are shown (n=17 per group). Each point represents the CD4<sup>+</sup> and CD8<sup>+</sup> T cell response of an individual to each peptide pool (5 &#xb5;g/mL) from the WT strain and Omicron variant at 2- or 6-months post-vaccination. The data were reported after background subtraction (from the negative control), and individuals were considered responders with a minimum threshold of 0.001%. In the figures, four out of seven children who tested positive for SARS-CoV-2 by RT-PCR during this study and evaluated for cellular response are represented by triangles. The Wilcoxon test for matched paired samples and the Mann&#x2212;Whitney test were used to analyze differences between factors (viral variant, exposure to SARS&#x2212;CoV&#x2212;2 before vaccination, and time post-vaccination) (*). The bars represent the means. *p &lt; 0.05, **p &lt; 0.01, and ***p&lt;0.001.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504935-g004.tif"/>
</fig>
<p>Similarly, IFN-&#x3b3;<sup>+</sup>CD4<sup>+</sup> T-cell frequency was also lower in response to Omicron compared to WT in Non-Exposed subjects at 2 months post-vaccination (<italic>p=</italic>0.0066. <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). The response to WT in Non-Exposed was slightly lower than in Exposed at 2 months post-vaccination (p<italic>=</italic>0.0447. <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4A</bold>
</xref>). The frequencies of IFN-&#x3b3;-, TNF-&#x3b1;-, and IL-2-producing CD4<sup>+</sup> T-cells were positively correlated with the frequency of AIM<sup>+</sup>CD4<sup>+</sup> T-cells (CD137<sup>+</sup>OX40<sup>+</sup>) in both groups, with correlation coefficients ranging from 0.49 to 0.61 (<italic>p</italic>&lt;0.05, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S4</bold>
</xref>). No significant differences were found in IL-10<sup>+</sup>, CD107a<sup>+</sup>, nor CD107a<sup>+</sup>Perforin<sup>+</sup> CD4<sup>+</sup> T cell frequencies among any of the conditions or groups evaluated (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figures S5A&#x2013;C</bold>
</xref>). However, CD4<sup>+</sup> T-cells coexpressing CD107a<sup>+</sup>Granzyme B<sup>+</sup> were higher in response to Omicron peptides compared to WT peptides in the Exposed group at 6 months post-vaccination (p<italic>=</italic>0.0391, <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4D</bold>
</xref>).</p>
<p>Similar to those of CD4+ T-cells, the frequencies of IFN-&#x3b3;<sup>+</sup>CD8<sup>+</sup> (p<italic>=</italic>0.0010) and TNF-&#x3b1;<sup>+</sup>CD8<sup>+</sup> (p<italic>=</italic>0.0273) T-cells were significantly lower in response to Omicron than in response&#xa0;to WT in Exposed children at 2 months (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4E, F</bold>
</xref>), and also at 6 months post-vaccination for IFN-&#x3b3;<sup>+</sup>CD8<sup>+</sup> T-cells (p<italic>=</italic>0.0093). The IFN-&#x3b3;<sup>+</sup>CD8<sup>+</sup> response to WT in Exposed subjects decreased at 6 months compared to that at 2&#xa0;months (p<italic>=</italic> 0.0245. <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4E</bold>
</xref>).</p>
<p>In addition, a greater percentage of responders and frequency of IL-2<sup>+</sup>CD8<sup>+</sup> T-cells were observed in the Non-Exposed compared to the Exposed group in response to WT at 2 months (<italic>p=</italic>0.0458) and to Omicron at 6 months (p=0.0232) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4G</bold>
</xref>). No significant differences were found in IL-10<sup>+</sup>CD8<sup>+</sup> T-cell frequencies (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S5D</bold>
</xref>).</p>
<p>A significant decrease in the frequency of total CD107<sup>+</sup>CD8<sup>+</sup> T-cells was observed at 6 months compared to 2 months post-vaccination in response to WT peptides in both Non-Exposed (p<italic>=</italic>0.0137) and Exposed (p<italic>=</italic>0.0356) groups, and in response to Omicron, only in the Exposed group (p<italic>=</italic>0.0059) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4H</bold>
</xref>). The frequency of CD107a<sup>+</sup>perforin<sup>+</sup>-expressing CD8<sup>+</sup> T-cells was lower in response to Omicron compared to WT in Non-Exposed children at 2 months post-vaccination (p<italic>=</italic>0.0391) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4I</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>CoronaVac<sup>&#xae;</sup> induces a polyfunctional T-cells response to viral variants</title>
<p>Coronavac<sup>&#xae;</sup> induced polyfunctional CD4<sup>+</sup> T-cell responses, predominantly coexpressing TNF-&#x3b1;, IFN-&#x3b3;, and IL-2, against both viral variants. However, the frequency of trifunctional (p<italic>=</italic>0.0012) and bifunctional (p=0.0215) cells was lower in response to Omicron compared to WT peptides in Exposed children at 2 months post-vaccination. The response to WT in Exposed children also decreased over time (3 functions: p<italic>=</italic>0.0203, 2 functions: p<italic>=</italic>0.0074). Similarly, the bifunctional response to WT was also lower in Non-Exposed compared to Exposed children at 2 months (p<italic>=</italic>0.0169) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5A</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Functional profile of the SARS-CoV-2-specific CD4<sup>+</sup> T cell response: Pie charts showing the proportions of combinations of IFN-&#x3b3;, IL-2, IL-10, TNF-&#x3b1;, CD107a/granzyme B and CD107a/Perforin <bold>(A)</bold> of CD4<sup>+</sup> T-cells in response to pooled peptides (5 &#xb5;g/mL) from the WT strain and the Omicron variant at 2- or 6- months post-vaccination (n=17 per group). The size of the pie segment correlates to the frequency of the population. The arcs around the circumference indicate the molecule (see the legend) produced by the proportion of cells that lie under the arc. The parts of the pie surrounded by multiple arcs represent polyfunctional cells. Significant comparisons (p&lt; 0.05) were marked with black lines between pie portions. A threshold equal to or higher to 0.001% was considered positive. The frequencies of CD4<sup>+</sup> T-cells exclusively expressing IL-2<sup>+</sup>TNF-&#x3b1;<sup>+</sup> <bold>(B)</bold> and IFN-&#x3b3;<sup>+</sup>IL-2<sup>+</sup>TNF-&#x3b1;<sup>+</sup>perforin<sup>+</sup> <bold>(C)</bold>, as well as the polyfunctionality index of CD4<sup>+</sup> T-cells <bold>(D)</bold>, were analyzed with FunkyCell Toolbox software. Each point represents the CD4<sup>+</sup> T cell response of an individual to each peptide pool (5 &#xb5;g/mL) from the WT strain and the Omicron variant at 2- or 6-months post-vaccination. The data are reported after background subtraction (from the negative control). In the figures, four out of seven children who tested positive for SARS-CoV-2 by RT-PCR during this study and evaluated for cellular response are represented by triangles. The Wilcoxon test for matched paired samples and the Mann&#x2212;Whitney test were performed according to the analysis. Bars depict the mean. *p&lt; 0.05 and **p&lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504935-g005.tif"/>
</fig>
<p>Bifunctional IL-2<sup>+</sup>TNF<sup>+</sup> cells in the Exposed children were lower in response to Omicron than WT at 2 months (p<italic>=</italic>0.0020) and this response to WT also decreased over time (p<italic>=</italic>0.0021) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5B</bold>
</xref>). In addition, the IFN&#x3b3;<sup>+</sup>IL-2<sup>+</sup>TNF-&#x3b1;<sup>+</sup>perforin<sup>+</sup> profile was less frequent in response to Omicron than in response to WT in Exposed children at 2 months (p<italic>=</italic>0.0078) (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5C</bold>
</xref>). The polyfunctionality index in CD4<sup>+</sup> T-cells was lower in response to Omicron than WT in Exposed children at 2 months. It was higher in Exposed than Non-Exposed children in response to the WT, decreasing over time (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5D</bold>
</xref>).</p>
<p>In contrast, CD8<sup>+</sup> T-cells were less polyfunctional overall, with no significant differences across subjects (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). Bifunctional responses against both variants were predominantly granzyme B<sup>+</sup>perforin<sup>+</sup>, followed by IFN-&#x3b3;<sup>+</sup> TNF-&#x3b1;<sup>+</sup> profile for WT and IL-2<sup>+</sup>IL-10<sup>+</sup> profile for Omicron (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6A</bold>
</xref>). A significant reduction in the frequencies of CD8<sup>+</sup> T-cells exclusively expressing IFN&#x3b3;<sup>+</sup> (p<italic>=</italic>0.0032) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6B</bold>
</xref>), IFN&#x3b3;<sup>+</sup>TNF-&#x3b1;<sup>+</sup> (p<italic>=</italic>0.0020) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>) and IFN-&#x3b3;<sup>+</sup>TNF-&#x3b1;<sup>+</sup>granzyme-B<sup>+</sup>perforin<sup>+</sup> (<italic>p =</italic> 0.0156) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6D</bold>
</xref>) was observed in response to Omicron compared to WT in Exposed children at 2 months. Additionally, the frequency of IFN&#x3b3;<sup>+</sup>TNF-&#x3b1;<sup>+</sup> profile was lower for Omicron than WT in Non-Exposed children at 6 months post-vaccination (p<italic>=</italic>0.0020) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>). A higher polyfunctional CD8<sup>+</sup> T-cell index was observed for WT compared to Omicron in Exposed children at 2 months post-vaccination (p<italic>=</italic>0.0097) (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6E</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Functional profile of the SARS-CoV-2-specific CD8<sup>+</sup> T cell response: Pie charts showing the proportions of combinations of IFN-&#x3b3;, IL-2, IL-10, TNF-&#x3b1;, CD107aGranzyme B and CD107aPerforinB <bold>(A)</bold> of CD8<sup>+</sup> T-cells in response to pooled peptides (5 &#xb5;g/mL) from the WT strain and the Omicron variant at 2- or 6-months post-vaccination (n=17 per group). The size of the pie segment correlates to the frequency of the population. The arcs around the circumference indicate the molecule (see the outer arc legend) produced by the proportion of cells that lie under the arc. The parts of the pie surrounded by multiple arcs represent polyfunctional cells. A threshold equal to or higher to 0.001% was considered positive. The frequencies of CD8<sup>+</sup> T-cells exclusively expressing IFN-&#x3b3;<sup>+</sup> <bold>(B)</bold>, IFN-&#x3b3;<sup>+</sup>TNF-&#x3b1;<sup>+</sup> <bold>(C)</bold>, IFN-&#x3b3;<sup>+</sup>TNF-&#x3b1;<sup>+</sup>GranzymeB<sup>+</sup>Perforin<sup>+</sup> <bold>(D)</bold>, as well as the polyfunctionality index of CD8<sup>+</sup> T-cells <bold>(E)</bold>, were analyzed with FunkyCell Toolbox software. Each point represents the CD4<sup>+</sup> T cell response of an individual to each peptide pool (5 &#xb5;g/mL) from the WT strain and the Omicron variant at 2- or 6-months post-vaccination. The data are reported after background subtraction (<italic>from the negative</italic> control). In the figures, four out of seven children who tested positive for SARS-CoV-2 by RT-PCR during this study and evaluated for cellular response are represented by triangles. The Wilcoxon test for matched paired samples and the Mann&#x2212;Whitney test were performed according to the analysis. Bars depict the mean. *p&lt; 0.05 and **p&lt; 0.01.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504935-g006.tif"/>
</fig>
<p>When cytokine production was measured in the supernatants of cultures stimulated with WT or Omicron peptides, IL-2 production was detected in all subjects (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7A</bold>
</xref>); IL-17A levels were low in all subjects (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7B</bold>
</xref>), and IL-4 was not detected. IL-6 levels in response to Omicron in Non-Exposed subjects increased at 6 months compared to 2 months post-vaccination (p=0.0027). Still, they were lower in Non-Exposed compared to Exposed at 2 months post-vaccination (p=0.019) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7C</bold>
</xref>). IL-10 levels in response to Omicron in the Exposed group increased at 6 months compared to 2 months post-vaccination (p=0.0107) (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7D</bold>
</xref>). The IL-2 levels in response to WT were positively correlated with the frequency of AIM<sup>+</sup>CD4<sup>+</sup> (CD137<sup>+</sup>OX40<sup>+</sup>; r=0.4597, p&lt;0.0001) T-cells in Exposed and Non-Exposed subjects analyzed together (<xref ref-type="fig" rid="f7">
<bold>Figure&#xa0;7E</bold>
</xref>). However, these correlations were not observed for IL-2 produced in response to Omicron.</p>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Cytokine production after antigen-specific stimulation: Antigen-specific cytokine production in the cell culture supernatant of peripheral blood mononuclear cells (PBMCs) at 2- or 6-months post-vaccination stimulated for 18 hours with SARS-CoV-2-specific peptides (5 &#xb5;g/mL) from the WT strain and Omicron variant was evaluated through a cytometric bead assay (CBA) (n=17 per group). The data are reported after background subtraction (from the DMSO vehicle control). Concentrations expressed in femtograms for IL-6 <bold>(A)</bold>, IL-10 <bold>(B)</bold>, IL-2 <bold>(C)</bold>, and IL-17a <bold>(D)</bold> and the correlation between the levels of IL-2 produced in response to the WT strain in cell culture supernatants assessed by CBA and the frequency of AIM<sup>+</sup>CD4<sup>+</sup> (CD137<sup>+</sup>OX40<sup>+</sup>) in Exposed and Non-Exposed subjects analyzed together <bold>(E)</bold> are shown. Correlations were evaluated by Spearman correlation Rank (r). *p&lt; 0.05 and **p&lt; 0.01 according to the Wilcoxon test for matched paired samples and the Mann&#x2212;Whitney test. Bars depict the mean.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-15-1504935-g007.tif"/>
</fig>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>To our knowledge, this is the first real-world study on CoronaVac<sup>&#xae;</sup> immunogenicity in Latin American children. Our findings align with previous studies demonstrating that this vaccine is well-tolerated and safe (<xref ref-type="bibr" rid="B8">8</xref>). Consistent with earlier evidence showing significant IgG antibody production induced by CoronaVac<sup>&#xae;</sup> in children (<xref ref-type="bibr" rid="B9">9</xref>) and adults (<xref ref-type="bibr" rid="B10">10</xref>, <xref ref-type="bibr" rid="B11">11</xref>), our results also provide new evidence of IgA induction in children. Whereas previous studies have shown that CoronaVac<sup>&#xae;</sup> (<xref ref-type="bibr" rid="B12">12</xref>) or natural infection (<xref ref-type="bibr" rid="B13">13</xref>) do not induce IgA in adults, others have reported increased serum IgA, but not mucosal IgA, in comparison to mRNA vaccines in adults (<xref ref-type="bibr" rid="B14">14</xref>) and children (<xref ref-type="bibr" rid="B15">15</xref>). This variability suggest that although germinal center responses likely occur following CoronaVac<sup>&#xae;</sup> vaccination, further research should focus on redirecting memory B cells towards mucosal tissues. Studying SARS-CoV-2-specific IgA in nasal mucosa and saliva, as has been done for mRNA vaccines (<xref ref-type="bibr" rid="B16">16</xref>), could help elucidate the IgA role in CoronaVac<sup>&#xae;</sup>-induced protection in children. As expected, IgG and IgA levels declined six months post-vaccination, consistent with previous studies on CoronaVac<sup>&#xae;</sup> in adults (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B18">18</xref>) and children, at least for IgG (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Notably, CoronaVac<sup>&#xae;</sup> induced robust neutralizing activity against the ancestral lineage (B.1) and the Delta, Mu, and Omicron (BA.1.1) variants, regardless of prior exposure or time. Although these titers decreased over time, most participants maintained neutralizing titers &#x2265;20, as previously shown (<xref ref-type="bibr" rid="B6">6</xref>). These findings align with those of efficacy studies showing that despite a waning humoral response, CoronaVac<sup>&#xae;</sup> protects against severe disease and death by 90.3% and 80.6%, respectively (<xref ref-type="bibr" rid="B19">19</xref>). The observed decline in neutralization over time against Omicron in both Exposed and Non-Exposed children, consistent with other studies (<xref ref-type="bibr" rid="B20">20</xref>), underscores the potential benefit of booster doses to enhance neutralization against variants.</p>
<p>Interestingly, we found higher neutralizing titers against Delta and Mu than against B.1 at two- and six-months post-vaccination, which could be attributed to original antigenic sin (OAS), also known as antigenic seniority, in which the immune response to a primary antigen dominated over newer strains in subsequent exposures (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B22">22</xref>). Thus, the higher titers against Delta and Mu than B.1 likely reflect the circulation of these variants in Colombia before vaccination (<xref ref-type="bibr" rid="B23">23</xref>). The OAS phenomenon has been previously reported against SARS-CoV-2 (<xref ref-type="bibr" rid="B24">24</xref>) and other respiratory viruses such as influenza (<xref ref-type="bibr" rid="B25">25</xref>). Epidemiological data suggest that the Delta wave in Colombia had reduced severity compared to other countries, potentially due a robust immune response against Delta because of prior Mu infection, which has less antigenic distance from Delta than B.1 and other variants. In contrast, primary exposures to B.1 or other variants with greater antigenic distance from Delta resulted in more severe Delta infections elsewhere (<xref ref-type="bibr" rid="B21">21</xref>, <xref ref-type="bibr" rid="B26">26</xref>). Moreover, the evidence of reduced neutralizing efficacy of CoronaVac<sup>&#xae;</sup> against SARS-CoV-2 variants, including Delta, Mu, and Omicron, due to mutations in key RBD regions (<xref ref-type="bibr" rid="B27">27</xref>&#x2013;<xref ref-type="bibr" rid="B29">29</xref>), has been found in individuals exposed for the first time to the Wuhan strain (<xref ref-type="bibr" rid="B22">22</xref>).</p>
<p>CoronaVac<sup>&#xae;</sup> elicited specific and functional CD4<sup>+</sup> and CD8<sup>+</sup> T-cell responses against WT and Omicron, as shown by AIM combinations and ICS assays. However, the response of monofunctional cells (IFN-&#x3b3;, IL-2 or TNF-&#x3b1;) and cells with two (IL-2<sup>+</sup>TNF-&#x3b1;<sup>+</sup>) or three functions (IFN-&#x3b3;<sup>+</sup>IL-2<sup>+</sup>TNF-&#x3b1;<sup>+</sup>) to Omicron was lower than that to WT in the Exposed group at 2 months post-vaccination. Responses against WT, particularly in Exposed children, decreased from 2 to 6 months probably reflecting a natural contraction of the immune response. The lower response to Omicron, also observed in other studies, may be due to mutations in immunodominant epitopes affecting T-cell activation (<xref ref-type="bibr" rid="B30">30</xref>). Hybrid immunity resulting from prior infection and vaccination may explain differences in responses to WT versus Omicron and over time, particularly in Exposed individuals (<xref ref-type="bibr" rid="B31">31</xref>).</p>
<p>Notably, most children who tested positive for SARS-CoV-2 by RT-PCR during this study (represented by triangles in the figures) consistently exhibited several immune parameters evaluated above the average, reinforcing the idea that hybrid immunity enhances immune responses. Indeed, persisting SARS&#x2010;CoV&#x2010;2 antibodies and robust CD4 and CD8 T&#x2010;cell activation and polyfunctional responses have been observed in vaccinated children following Omicron infection (<xref ref-type="bibr" rid="B32">32</xref>). However, the minimal differences observed between Exposed and Non-Exposed children could be attributed to undocumented SARS-CoV-2 exposures or asymptomatic infections in Non-Exposed children before vaccination. In fact, SARS-CoV-2-infected individuals and their uninfected close contacts have exhibited virus-specific CD4<sup>+</sup> and CD8<sup>+</sup> T-cell memory, with larger and higher-quality T-cell responses in infected individuals (<xref ref-type="bibr" rid="B33">33</xref>). Furthermore, both asymptomatic and symptomatic infected patients have shown similar levels of antibodies (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>) and virus-specific T-cell memory (<xref ref-type="bibr" rid="B33">33</xref>). Thus, Non-Exposed may have experienced undetected SARS-CoV-2 exposures or asymptomatic infections, which could have modulated the immune parameters evaluated (<xref ref-type="bibr" rid="B33">33</xref>). Consistent with high asymptomatic infection rates in children, only two of seven children infected during this study presented mild symptoms (<xref ref-type="bibr" rid="B35">35</xref>).</p>
<p>CoronaVac<sup>&#xae;</sup> predominantly triggered polyfunctional CD4<sup>+</sup> T-cells coexpressing TNF-&#x3b1;, IFN-&#x3b3;, and IL-2 but at lower levels against Omicron than against WT. Overall, antigen-specific CD4<sup>+</sup> T cell responses decreased by 6 months, stabilizing at similar levels in both groups, indicating physiological contraction of the immune response. These cells exhibited effector and central memory phenotypes, similar to natural infection and after vaccination (<xref ref-type="bibr" rid="B36">36</xref>), potentially sustained by IL-2 and TNF-&#x3b1;, crucial for memory T-cell proliferation and survival (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>). CoronaVac<sup>&#xae;</sup> predominantly triggered a Th1 response associated with viral control (<xref ref-type="bibr" rid="B39">39</xref>), low IL-17, and no IL-4, consistent with earlier findings (<xref ref-type="bibr" rid="B4">4</xref>). However, Omicron increased IL-6 and IL-10 secretion over time, suggesting a Th2-like profile that might interfere with the antiviral response (<xref ref-type="bibr" rid="B40">40</xref>). Additionally, a cytotoxic response by CD4<sup>+</sup> T-cells (CD107a<sup>+</sup> granzyme B<sup>+</sup>) against Omicron was observed in the Exposed group at the end of the follow-up, possibly stimulated by IL-2 (<xref ref-type="bibr" rid="B41">41</xref>). At two months post-vaccination, a secretory and cytotoxic response of CD4<sup>+</sup> T-cells (IFN-&#x3b3;<sup>+</sup>IL-2<sup>+</sup>TNF-a<sup>+</sup>perforin<sup>+</sup>) against WT was noted in the Exposed group, suggesting a hybrid immunity with a broader antiviral response. Although prior studies suggested CD4<sup>+</sup> T-cell cytotoxic responses (IFN-&#x3b3;<sup>+</sup> CD107a<sup>+</sup>) post-mRNA vaccination, further research is needed to elucidate this aspect (<xref ref-type="bibr" rid="B42">42</xref>).</p>
<p>In contrast to CD4<sup>+</sup>, CD8<sup>+</sup> responses were more variable and often lower, mostly monofunctional. This CD4/CD8 imbalance, seen in response to natural infection and vaccination (<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B43">43</xref>), might be due to the inactivated nature of CoronaVac<sup>&#xae;</sup> and the aluminum hydroxide adjuvant favoring CD4<sup>+</sup> over CD8<sup>+</sup> T-cell (<xref ref-type="bibr" rid="B44">44</xref>). CD8<sup>+</sup> T responses, including IFN-&#x3b3;<sup>+</sup>, TNF-&#x3b1;<sup>+</sup>, bifunctional cells (IFN-&#x3b3;<sup>+</sup>TNF-&#x3b1;<sup>+</sup> and CD107a<sup>+</sup>IFN-&#x3b3;<sup>+</sup>), and the polyfunctionality index were reduced in response to Omicron, consistent with AIM assays. AIM<sup>+</sup>CD8<sup>+</sup> T-cells were primarily TEM and TEMRA cells, resembling those induced by post-natural infection and other vaccines (<xref ref-type="bibr" rid="B45">45</xref>), indicating robust cytolytic responses despite a limited CD8<sup>+</sup> T-cell pool. The greater decline in CD8<sup>+</sup> compared to CD4<sup>+</sup> T-cell responses, along with the weaker response to Omicron, reinforces the need for booster doses or adjuvants favoring cross-presentation and CD8<sup>+</sup> T-cells, such as Alum-based nanoparticles, and Matrix-M that could help to prime a robust response of CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="B44">44</xref>).</p>
<p>The strong humoral and cellular responses to SARS-CoV-2 elicited by CoronaVac<sup>&#xae;</sup> in children align with evidence showing comparable or superior humoral responses in children relative to adults in terms of serologic response rates, duration, and both antibody and neutralizing titers (<xref ref-type="bibr" rid="B46">46</xref>, <xref ref-type="bibr" rid="B47">47</xref>). Additionally, children have been observed to sustain longer-lasting neutralizing and binding antibody responses (<xref ref-type="bibr" rid="B48">48</xref>) and exhibit a higher proportion of IFN-&#x3b3;-producing T cells after SARS-CoV-2 infection than adults (<xref ref-type="bibr" rid="B49">49</xref>). Despite reduced cellular responses to Omicron, they were still detectable. Moreover, the robust neutralizing antibodies may compensate, providing adequate protection against severe COVID-19 in pediatric populations during the Omicron surge when this variant predominated during recruitment (<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>).</p>
<p>A key limitation of this study was the inability to accurately assess the Non-exposed group due to the possibility of undocumented SARS-CoV-2 exposures or asymptomatic infections before the study&#x2019;s initiation. The absence of pre-vaccination samples prevented establishing a true baseline, potentially leading to false Non-Exposed cases. Despite these challenges, recognized from the outset, they are common in real-world research, especially given estimates of widespread SARS-CoV-2 exposure in approximately 90% of the population since the pandemic began.</p>
<p>In conclusion, CoronaVac<sup>&#xae;</sup> elicits robust humoral and cellular immune responses, including total and neutralizing antibodies, as well as SARS-CoV-2-specific Th1-like CD4<sup>+</sup> and CD8<sup>+</sup> polyfunctional T-cell responses, characterized by IFN-&#x3b3; production and cytotoxic capacity. Nevertheless, waning immunity and reduced responses to variants such as Omicron underscore the importance of appropriately timed, heterologous booster doses with optimized adjuvants and variant-specific antigens to enhance the magnitude, breadth, and durability of the immune response (<xref ref-type="bibr" rid="B52">52</xref>), particularly against emerging strains such as JN.1 and KP.2. Continuous genomic surveillance is essential for guiding vaccine updates, particularly in low- and middle-income countries, where vaccine performance may differ from trial results in high-income settings. Addressing these gaps will improve global preparedness for current and future SARS-CoV-2 outbreaks.</p>
</sec>
</body>
<back>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The study adhered to Helsinki Declaration and Resolution 8430 of 1993 of the Minister of Health of Colombia (mainly Chapter III &#x201c;Research on minors&#x201d;). It was approved by the Ethics Committee of the Universidad de Antioquia (Act 027/2022). The study was conducted in accordance with the local legislation and institutional requirements. Written informed consent for participation in this study was provided by the participants&#x2019; legal guardians/next of kin.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>WA-J: Conceptualization, Data curation, Formal analysis, Supervision, Writing &#x2013; original draft. ALR-P: Data curation, Formal analysis, Investigation, Writing &#x2013; original draft. MC-M: Investigation, Writing &#x2013; original draft. PAV: Conceptualization, Data curation, Formal analysis, Writing &#x2013; original draft. WZ-B: Conceptualization, Data curation, Formal analysis, Writing &#x2013; review &amp; editing. LMM-E: Investigation, Writing &#x2013; review &amp; editing. MIZ-C: Investigation, Methodology, Writing &#x2013; original draft. JHT-G: Investigation, Writing &#x2013; review &amp; editing. DSR: Investigation, Writing &#x2013; review &amp; editing. YT: Investigation, Writing &#x2013; review &amp; editing. LL-C: Investigation, Visualization, Writing &#x2013; review &amp; editing. JCH: Conceptualization, Data curation, Formal analysis, Visualization, Writing &#x2013; review &amp; editing. MTR: Conceptualization, Funding acquisition, Project administration, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was fully supported by Sinovac Biotech Ltd., Beijing, China. The funders had no role in the design of the study, data collection and analysis, the decision to publish, or the preparation of the manuscript.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors extend their gratitude to all the participants and their families, to the Fundaci&#xf3;n de Atenci&#xf3;n a la Ni&#xf1;ez -FAN (<ext-link ext-link-type="uri" xlink:href="https://fan.org.co">https://fan.org.co</ext-link>) for their collaboration in patient recruitment. We are also grateful to Mar&#xed;a Patricia Arbel&#xe1;ez from the Universidad de Antioquia for her support in study design and to Juan D. Ceron from the Universidad de Antioquia for his assistance in peptide selection. Additionally, we acknowledge the partial support provided by the Universidad de Antioquia (Sostenibilidad program).</p>
</ack>
<sec id="s10" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research 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(s) 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="s11" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The authors declare that no Generative AI was used in the creation of this manuscript.</p>
</sec>
<sec id="s12" 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="s13" 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.2024.1504935/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2024.1504935/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.pdf" id="SM1" mimetype="application/pdf"/>
<supplementary-material xlink:href="Table2.xlsx" id="SM2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
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