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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.2025.1668576</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Immunology</subject>
<subj-group>
<subject>Systematic Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Immunogenicity and safety of the booster COVID-19 vaccine among people with HIV: a systematic review and meta-analysis</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Zhenzhen</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Wan</surname>
<given-names>Chunping</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1613441/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Chen</surname>
<given-names>Bing</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Mo</surname>
<given-names>Qingyan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ju</surname>
<given-names>Mingqian</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Deng</surname>
<given-names>Kunlong</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Li</surname>
<given-names>Xiaohong</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/3042310/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/supervision/"/>
<role content-type="https://credit.niso.org/contributor-roles/investigation/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/conceptualization/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Qin</surname>
<given-names>Dongdong</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/617103/overview"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
<role content-type="https://credit.niso.org/contributor-roles/validation/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-review-editing/"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Airport Emergency Center, The Affiliated Guangdong Second Provincial General Hospital of Jinan University</institution>, <addr-line>Guangzhou, Guangdong</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>The Fifth Affiliated Hospital, Yunnan University of Chinese Medicine</institution>, <addr-line>Kunming, Yunnan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>School of Medicine, Kunming University</institution>, <addr-line>Kunming, Yunnan</addr-line>,&#xa0;<country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan University of Chinese Medicine</institution>, <addr-line>Kunming, Yunnan</addr-line>,&#xa0;<country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/31667/overview">Cristian Apetrei</ext-link>, University of Pittsburgh, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1821613/overview">Catalina Lunca</ext-link>, Grigore T. Popa University of Medicine and Pharmacy, Romania</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/3148398/overview">David Griffin</ext-link>, Monash University, Australia</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Dongdong Qin, <email xlink:href="mailto:qindong108@163.com">qindong108@163.com</email>; Xiaohong Li, <email xlink:href="mailto:lixiaohong879@163.com">lixiaohong879@163.com</email>; Kunlong Deng, <email xlink:href="mailto:dkunl@126.com">dkunl@126.com</email>
</p>
</fn>
<fn fn-type="equal" id="fn003">
<p>&#x2020;These authors have contributed equally to this work</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>17</day>
<month>09</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>16</volume>
<elocation-id>1668576</elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>07</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Chen, Wan, Chen, Mo, Ju, Deng, Li and Qin.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Chen, Wan, Chen, Mo, Ju, Deng, Li and Qin</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>Human immunodeficiency virus (HIV) and COVID-19 continue to pose significant global public health challenges. Although vaccination is essential for preventing COVID-19 in people with HIV (PWH), evidence on the immunogenicity and safety of booster doses remains limited. This systematic review aimed to assess the immunogenicity and safety of COVID-19 booster vaccination in PWH.</p>
</sec>
<sec>
<title>Methods</title>
<p>We conducted a comprehensive literature search in PubMed, EMBASE, and the Cochrane Library. Eligible studies included PWH who had received three or more doses of a COVID-19 vaccine.</p>
</sec>
<sec>
<title>Results</title>
<p>Across 54 included studies, 4,685 of 5,229 PWH achieved seroconversion following a third or subsequent COVID-19 vaccine dose&#x2014;an improvement over rates observed after the primary vaccine series. In 23 studies comparing 2,284 PWH with 1,813 healthy controls (HC), no significant differences in seroconversion rates were found (p &#x2265; 0.05). Among PWH, 22 studies reported significantly higher seroconversion rates in individuals with CD4<sup>+</sup> T cell counts &gt;200 cells/mm&#xb3; compared to those with counts &lt;200 cells/mm&#xb3;. Booster vaccination enhanced CD4<sup>+</sup> T cell responses to levels comparable to HC, although CD8<sup>+</sup> T cell responses remained markedly lower. Five studies reported adverse events following booster doses, none of which were classified as serious.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>COVID-19 booster vaccination is effective in enhancing immune protection and reducing severe disease in PWH. Optimal vaccine dosing is especially important in individuals with low CD4<sup>+</sup> T cell counts. Tailoring booster strategies may improve seroconversion and overall immune response in this population.</p>
</sec>
<sec>
<title>Systematic review registration</title>
<p>
<uri xlink:href="https://www.crd.york.ac.uk/PROSPERO/">https://www.crd.york.ac.uk/PROSPERO/</uri>, identifier CRD42024605151</p>
</sec>
</abstract>
<kwd-group>
<kwd>COVID-19</kwd>
<kwd>booster vaccines</kwd>
<kwd>HIV</kwd>
<kwd>immunogenicity</kwd>
<kwd>CD4+ T cell</kwd>
<kwd>seroconversion</kwd>
</kwd-group>
<counts>
<fig-count count="8"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="74"/>
<page-count count="12"/>
<word-count count="3551"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Viral Immunology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>Although the World Health Organization has declared an end to the coronavirus disease 2019 (COVID-19) public health emergency, the prevalence of SARS-CoV-2 remains high (<xref ref-type="bibr" rid="B1">1</xref>). As of February 2, 2025, more than 770 million individuals worldwide have been infected, with over 7.08 million reported deaths (WHO COVID-19 Dashboard). The COVID-19 landscape is further complicated by acquired immunodeficiency syndrome (AIDS), a condition marked by profound immunodeficiency due to untreated human immunodeficiency virus (HIV) infection. People with HIV (PWH) experience a higher burden of non-HIV comorbidities, which predispose to more severe COVID-19, particularly in the setting of untreated HIV infection or low CD4<sup>+</sup> T cell counts (<xref ref-type="bibr" rid="B2">2</xref>&#x2013;<xref ref-type="bibr" rid="B4">4</xref>). Recent data also indicate that PWH have had a relative increase in mortality with COVID-19 compared with the general population (<xref ref-type="bibr" rid="B5">5</xref>).</p>
<p>Vaccination remains a cornerstone of COVID-19 control, and several vaccine platforms&#x2014;mRNA (BNT162b2, mRNA-1273), adenoviral vector (ChAdOx1 nCoV-19, Ad26.COV2.S), and inactivated virus (BBIBP-CorV, CoronaVac)&#x2014;were widely deployed during the pandemic. While numerous meta-analyses have examined primary vaccination outcomes in PWH, limited evidence exists regarding the immunogenicity and safety of COVID-19 booster doses in this population (<xref ref-type="bibr" rid="B6">6</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>). Existing studies on primary vaccination show that PWH, across ethnic and geographic contexts, develop neutralizing antibodies and exhibit reduced COVID-19 risk post-vaccination (<xref ref-type="bibr" rid="B10">10</xref>). However, seroconversion rates remain lower in PWH compared to healthy controls (HC) (<xref ref-type="bibr" rid="B11">11</xref>). To maintain adequate protection, booster doses are recommended for immunocompromised individuals in many countries (<xref ref-type="bibr" rid="B12">12</xref>). Nonetheless, the magnitude and quality of humoral and T-cell responses to booster vaccination in PWH&#x2014;particularly those with advanced immunosuppression&#x2014;remain inadequately characterized.</p>
<p>Vaccine-induced protection depends not only on neutralizing antibodies but also on cellular immunity, particularly CD4+ T cell responses (<xref ref-type="bibr" rid="B13">13</xref>). CD4<sup>+</sup> T cells, primary targets of HIV, are essential for orchestrating both humoral and cellular immunity. Regulatory T cells (Tregs) also contribute to immune modulation following vaccination (<xref ref-type="bibr" rid="B14">14</xref>). Diminished CD4<sup>+</sup> T cell counts can impair neutralizing antibody production, lower seroconversion rates, and compromise overall vaccine efficacy.</p>
<p>This systematic review and meta-analysis evaluated the immunogenicity and safety of administering three or more COVID-19 vaccine doses to PWH. It compared seroconversion rates between PWH and HC, and assessed the association between neutralizing antibody levels and CD4<sup>+</sup> T cell counts, along with other immune correlates. The findings offer critical insights for optimizing booster vaccination strategies in PWH.</p>
</sec>
<sec id="s2">
<label>2</label>
<title>Methods</title>
<p>This systematic review adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) guidelines (<xref ref-type="bibr" rid="B15">15</xref>) and was registered in PROSPERO (CRD42024605151).</p>
<sec id="s2_1">
<label>2.1</label>
<title>Search strategy</title>
<p>We systematically searched PubMed, EMBASE, and the Cochrane Library for studies evaluating SARS-CoV-2 vaccine immunogenicity in PWH. The final search was conducted on October 22, 2024. Search terms included combinations of (&#x201c;COVID-19&#x201d; OR &#x201c;Coronavirus&#x201d; OR &#x201c;SARS-CoV-2&#x201d;), (&#x201c;HIV&#x201d; OR &#x201c;Acquired Immunodeficiency Syndrome Virus&#x201d; OR &#x201c;PLWH&#x201d;), and (&#x201c;Vaccines&#x201d; OR &#x201c;Vaccination&#x201d;). The complete search strategy is provided in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>. Two reviewers (CZZ and LXH) independently screened titles, abstracts, and full texts; discrepancies were resolved by two additional reviewers (MQY and JMQ).</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Inclusion and exclusion criteria</title>
<p>Studies were included if they met the following criteria: (1)&#xa0;observational studies (cohort, case-control, or cross-sectional), randomized controlled trials (RCTs), or non-randomized controlled trials; (2) involved PWH who had received &#x2265;3 doses of a COVID-19 vaccine; and (3) reported extractable data on immunogenicity (humoral or cellular) or safety (local and systemic adverse reactions).</p>
<p>Exclusion criteria were as follows: (1) non-original studies (e.g., reviews, commentaries, or meta-analyses); (2) preprints and unpublished data; (3) unavailable full texts; and (4) studies involving only one or two vaccine doses.</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Data extraction</title>
<p>Two authors (CZZ and LXH) independently extracted data using a standardized Excel form. Collected variables included: (1) basic study characteristics (first author, publication year, country, and study design); (2) participant demographics for PWH and HC (sample size, age, sex, and antiretroviral therapy [ART] status, viral load); (3) COVID-19 vaccine details (booster type and dosage, time since vaccination, and interval between primary and booster doses); (4) immunogenicity outcomes (e.g., number of PWH with neutralizing antibody seroconversion, anti-receptor binding domain IgG or anti-spike IgG levels, mean CD4<sup>+</sup> T cell count, CD4<sup>+</sup>/CD8<sup>+</sup> ratio, ART status, assay type, and cellular immunity assessment); and (5) safety outcomes based on reported adverse events in PWH.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Risk of bias assessment</title>
<p>Cohort and case-control studies were assessed using the Newcastle&#x2013;Ottawa Quality Assessment Scale, while cross-sectional studies were evaluated using the Agency for Healthcare Research and Quality (AHRQ) criteria. Quality assessments were independently conducted by CZZ and LXH, with discrepancies resolved by WCP and CB.</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Statistical analyses</title>
<p>Meta-analyses were performed using Review Manager Version 5.3 and STATA Version 15.1. For primary outcomes, relative risk (RR) and 95% confidence intervals (CI) were calculated using a random-effects model. RR values of &lt;1 indicated lower seroconversion rates in vaccinated PWH compared to HC. Study heterogeneity was assessed using the I&#xb2; statistic, with values &#x2265;50% indicating substantial heterogeneity. Meta-regression and subgroup analyses were conducted to explore potential sources of heterogeneity. Sensitivity analyses were performed to evaluate the robustness of primary outcomes. Publication bias was assessed using funnel plots and Egger&#x2019;s test.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<p>The study selection process is summarized in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>. Of the 7,591 articles retrieved, 1,584 duplicates were removed. After screening titles and abstracts, 3,965 irrelevant studies and 1,737 reviews or meta-analyses were excluded. Full-text review excluded 207 animal studies, 40 studies involving only two vaccine doses, and four studies with unusable data. Ultimately, 54 articles were included in the meta-analysis (<xref ref-type="bibr" rid="B16">16</xref>&#x2013;<xref ref-type="bibr" rid="B48">48</xref>) 23 of which conducted direct comparisons between PWH and HC.</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Flowchart of the article selection process.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g001.tif">
<alt-text content-type="machine-generated">Flowchart detailing the identification and selection of studies for a meta-analysis. It begins with 7591 records identified from databases like PubMed, Embase, and Cochrane Library. After removing duplicates and ineligible records, 6007 records were screened. From these, 2042 reports were sought for retrieval, with 1737 not retrieved for various reasons. Eventually, 305 reports were assessed for eligibility, leading to 54 studies included in the analysis, comprising 50 cohort studies, 3 cross-sectional studies, and 1 case-control study.</alt-text>
</graphic>
</fig>
<sec id="s3_1">
<label>3.1</label>
<title>Characteristics of the included studies</title>
<p>Among the 54 studies included in this analysis, 33 (62.96%) evaluated mRNA vaccines (BNT162b2 or mRNA-1273), 15 (27.78%) assessed inactivated vaccines (BBIBP-CorV or CoronaVac), and one (1.85%) investigated an adenovirus vector vaccine (ChAdOx1). All of the PWH received &#x2265;3 doses of a COVID-19 vaccine. Most studies were cohort designs (n = 50, 92.59%), followed by cross-sectional (n = 3, 5.56%) and case-control studies (n = 1, 1.85%). Geographically, 24 studies (44.44%) were conducted in Asia, 21 (38.89%) in Europe, and nine (16.67%) in North America. <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S2</bold>
</xref> provides detailed study characteristics.</p>
<p>Risk of bias assessment showed that 45 studies (83.33%) had a moderate risk, while five (9.26%) and four (7.41%) had low and high risks of bias, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S3</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>S5</bold>
</xref>).</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Immune response rates in PWH</title>
<p>Seroconversion outcomes were reported in 44 studies involving 5,229 PWH. After a third vaccine dose, 4,685 PWH seroconverted, yielding a pooled risk ratio (RR) of 0.977 (95% CI: 0.945&#x2013;0.997) with substantial heterogeneity (I&#xb2; = 96%; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Forest plots of the included studies show the number of PWH seroconversions in each study (n, total number of PWHs; case, number of seroconversions in PWH).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g002.tif">
<alt-text content-type="machine-generated">Forest plot illustrating the effect sizes (ES) with 95% confidence intervals (CI) for various studies. Each study lists the number of events and total participants. The plot includes a red line at ES = 1, indicating no effect. The diamond at the bottom represents the overall effect size with high precision, showing a pooled ES of 0.977 with significant heterogeneity (I&#xb2; = 96.23%, p = 0.000). Percent weights vary across studies, indicating their contribution to the meta-analysis.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Immune response comparison in PWH vs HC</title>
<p>In 23 studies comparing 2,284 PWH and 1,813 healthy controls (HC), seroconversion rates post&#x2013;third dose were comparable between groups (RR = 0.99, 95% CI: 0.97&#x2013;1.00), though heterogeneity remained considerable (I&#xb2; = 85%; <xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table S3</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Risk ratios for seroconversion in PWH vs HC after the COVID-19 booster vaccine doses (CI, confidence interval; HC, healthy controls; M-H, Mantel&#x2013;Haenszel; PWH, people with HIV).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g003.tif">
<alt-text content-type="machine-generated">Forest plot displaying a meta-analysis of risk ratios comparing PWH and HC across various studies. Each row represents a study with risk ratios and confidence intervals indicated by horizontal lines. Data include study name, events, totals, and weight. The overall effect size is 0.99 with a 95% confidence interval of 0.97 to 1.00, indicating no significant difference between groups. Heterogeneity stats: Tau&#xb2;=0.00, Chi&#xb2;=144.81, df=22, P&lt;0.00001, I&#xb2;=85%. The plot favors neither PWH nor HC.</alt-text>
</graphic>
</fig>
<p>Subgroup analyses by vaccine type and geographic region found no significant differences in seroconversion between PWH and HC (<italic>p</italic> &#x2265; 0.05). Notably, mRNA vaccines elicited immune responses in PWH that most closely resembled those in HC (RR = 1.00, 95% CI: 0.98&#x2013;1.01; <xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). While regional variability may explain some heterogeneity (I&#xb2; = 85%; <xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>), evidence remains insufficient for definitive conclusions.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Subgroup analysis by vaccine type in PWH vs HC after booster COVID-19 vaccine doses (M-H, Mantel&#x2013;Haenszel; PWH, people with HIV; HC, healthy controls; CI, confidence interval.).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g004.tif">
<alt-text content-type="machine-generated">Forest plot illustrating risk ratios of vaccines in people with HIV (PWH) versus healthy controls (HC) across three vaccine types: inactivated, mRNA, and adenovirus vector vaccines. Each subgroup displays individual study results, total events, and weights, with diamonds representing pooled estimates. Confidence intervals indicate variability, with results primarily centered around a risk ratio of 1. Heterogeneity and overall effects are summarized below each subgroup. The text on the bottom of the plot distinguishes the risk ratios favoring PWH or HC.</alt-text>
</graphic>
</fig>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Subgroup analysis by continent in PWH vs HC after booster COVID-19 vaccine doses (CI, confidence interval; HC, healthy controls; M-H, Mantel&#x2013;Haenszel; PWH, people with HIV).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g005.tif">
<alt-text content-type="machine-generated">Forest plot depicting a meta-analysis of studies comparing PWH (persons with hemophilia) and HC (healthy controls) across different regions: Asia, Europe, and North America. Each study is represented by a blue square with horizontal lines indicating the 95% confidence interval. A diamond shape summarizes the overall effect for each subgroup and the total. The plot shows risk ratios (RR) on a log scale, with lines favoring PWH on the left and HC on the right. Heterogeneity statistics are included below each subgroup.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>CD4<sup>+</sup> cell immune responses in PWH</title>
<p>Twenty-two studies analyzed CD4<sup>+</sup> T cell&#x2013;stratified seroconversion using a 200 cells/mm&#xb3; threshold. Among 2,487 PWH, 2,024 had CD4<sup>+</sup> counts &gt;200 cells/mm&#xb3; and 463 had &lt;200 cells/mm&#xb3;. Seroconversion was significantly lower in the &lt;200 cells/mm&#xb3; group (<italic>p</italic> &lt; 0.05; RR = 1.17, 95% CI: 1.02&#x2013;1.35), with high heterogeneity (I&#xb2; = 97%; <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). Subgroup analyses confirmed that higher CD4<sup>+</sup> counts favored better seroconversion outcomes (<italic>p</italic> &lt; 0.05; <xref ref-type="fig" rid="f7">
<bold>Figures&#xa0;7</bold>
</xref>, <xref ref-type="fig" rid="f8">
<bold>8</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Risk ratio of PWH seroconversion after a booster dose of COVID-19 vaccine with 200 cells/mm&#xb3; CD4<sup>+</sup> T cell count as the cutoff (CI, confidence interval; M-H, Mantel&#x2013;Haenszel.).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g006.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of studies comparing CD4 counts greater than 200 versus less than 200. The plot includes individual study data, events, total participants, weights, and risk ratios with 95% confidence intervals. The overall pooled risk ratio is 1.17, favoring CD4 counts greater than 200. Heterogeneity and statistical data are included, with a chi-squared value of 792.03, and an I-squared value of 97%. The bottom axis is logarithmic, ranging from 0.02 to 50.</alt-text>
</graphic>
</fig>
<fig id="f7" position="float">
<label>Figure&#xa0;7</label>
<caption>
<p>Subgroup analysis by vaccine type in PWH with CD4<sup>+</sup> T cell counts of &gt;200 cells/mm&#xb3; vs with &lt;200 cells/mm&#xb3; after a booster COVID-19 vaccine dose (CI, confidence interval; M-H, Mantel&#x2013;Haenszel).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g007.tif">
<alt-text content-type="machine-generated">Forest plot depicting the risk ratios and confidence intervals for different vaccine studies regarding CD4 cell counts above and below 200. It categorizes studies into inactivated vaccines, mRNA vaccines, and adenovirus vector vaccines. Each study includes events and total numbers for both CD4 groups, with risk ratios plotted. Diamonds represent the summary measure for each category. The plot includes heterogeneity statistics and overall effects, showing a slight overall favor towards CD4 greater than 200.</alt-text>
</graphic>
</fig>
<fig id="f8" position="float">
<label>Figure&#xa0;8</label>
<caption>
<p>Subgroup analysis (based on continent) of PWH with CD4<sup>+</sup> T-cell counts of &gt;200 cells/mm&#xb3; vs &lt;200 cells/mm&#xb3; after a booster COVID-19 vaccine dose (CI, confidence interval; M-H, Mantel&#x2013;Haenszel).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fimmu-16-1668576-g008.tif">
<alt-text content-type="machine-generated">Forest plot showing a meta-analysis of studies comparing risk ratios for CD4 counts greater than 200 versus less than 200. The plot includes data from Europe, Asia, and North America. Subtotals for each region and an overall total are provided, with diamond markers indicating summary effects. The plot includes lines for heterogeneity and overall effect tests, with risk ratios and confidence intervals listed for each study and group.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_5">
<label>3.5</label>
<title>T-cell immune responses in PWH</title>
<p>T-cell immune responses were evaluated in 12 studies (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B47">47</xref>, <xref ref-type="bibr" rid="B49">49</xref>&#x2013;<xref ref-type="bibr" rid="B54">54</xref>). Markers used to characterize CD4<sup>+</sup> T cells included CD4<sup>+</sup>CD25<sup>High</sup>CD127<sup>Low</sup> Tregs, OX40<sup>+</sup>/CD137<sup>+</sup>, CCR4, CD137, CD154, and cytokines such as TNF, IFN-&#x3b3;, and IL-2. Activation of Treg and T follicular helper (Tfh) cells was also assessed. While CD8<sup>+</sup> T cell responses in PWH receiving three doses were less robust than in HC, they were more durable than responses observed in PWH who received only one or two doses.</p>
</sec>
<sec id="s3_6">
<label>3.6</label>
<title>COVID-19 booster vaccine safety in PWH</title>
<p>Booster vaccine safety in PWH was assessed in five studies (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B55">55</xref>). Most adverse events occurred within seven days and resolved spontaneously. Local reactions&#x2014;pain, swelling, redness, and itching&#x2014;were reported in 17.10% of cases (13/76), while systemic events&#x2014;drowsiness, myalgia, arthralgia, and nausea&#x2014;occurred in 11.84% (9/76). No severe adverse events were reported. Two studies compared adverse reaction incidence between PWH (18.84%, 65/345) and non-HIV individuals (14.11%, 23/163) (<xref ref-type="bibr" rid="B18">18</xref>, <xref ref-type="bibr" rid="B44">44</xref>). Although further statistical analysis was not feasible, the evidence supports the safety of booster vaccination in PWH.</p>
</sec>
<sec id="s3_7">
<label>3.7</label>
<title>Study quality</title>
<p>Quality assessments (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables S3</bold>
</xref>-<xref ref-type="supplementary-material" rid="SM1">
<bold>S5</bold>
</xref>) indicated that 45 studies were of moderate quality, five of low quality, and four of high quality. Low quality was primarily attributed to small sample sizes and insufficient data on predefined endpoints.</p>
</sec>
<sec id="s3_8">
<label>3.8</label>
<title>Sensitivity analysis</title>
<p>Sensitivity analysis identified significant heterogeneity in Matveev&#x2019;s study (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S1</bold>
</xref>). Systematic exclusion confirmed this study as a major contributor to overall heterogeneity (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S2</bold>
</xref>).</p>
</sec>
<sec id="s3_9">
<label>3.9</label>
<title>Publication bias</title>
<p>Funnel plot analysis and Egger&#x2019;s test indicated no evidence of publication bias in immune response outcomes comparing PWH and HC following booster vaccination (<italic>t</italic> = &#x2013;0.24, df = 23, <italic>p</italic> = 0.287). These findings suggest that PWH mount immune responses comparable to those of HC (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure S3</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>Given the proven efficacy of vaccination in reducing infection risk and disease severity among PWH, enhancing vaccine coverage in this population is imperative (<xref ref-type="bibr" rid="B9">9</xref>). This meta-analysis included 54 studies, with 44 studies assessing seroconversion in 5,229 PWH. Additionally, 23 studies comparing PWH to HC after a third vaccine dose found no significant difference in seroconversion rates between the two groups. Subgroup analyses by vaccine type and geographic region revealed that exclusion of the highly biased Matveev study substantially reduced heterogeneity. Consistent with previous findings, mRNA vaccines produced the highest seroconversion rates for booster doses (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B56">56</xref>). These results suggest that a third vaccine dose elicits a humoral immune response in PWH comparable to that in HC, enhancing antibody production, which has been demonstrated by others to correlate with reduced disease severity (<xref ref-type="bibr" rid="B57">57</xref>) and hospitalization (<xref ref-type="bibr" rid="B58">58</xref>).</p>
<p>A significant correlation exists between neutralizing antibody levels and both the quantity and proportion of CD4<sup>+</sup> T cells (<xref ref-type="bibr" rid="B59">59</xref>, <xref ref-type="bibr" rid="B60">60</xref>). CD4<sup>+</sup> T cells (helper T lymphocytes) are central to anti-HIV immunity but are also the primary targets of HIV infection. Therefore, monitoring CD4<sup>+</sup> T cells can help assess the extent of immune damage and determine the effectiveness of antiretroviral therapy (ART) (<xref ref-type="bibr" rid="B61">61</xref>). As such, CD4<sup>+</sup> T cell quantification is essential for staging HIV infection and AIDS, as well as monitoring treatment response (<xref ref-type="bibr" rid="B62">62</xref>). In SARS-CoV-2 infection, CD4<sup>+</sup> T cell responses are more prominent than those of CD8<sup>+</sup> T cells. Notably, SARS-CoV-2&#x2013;specific CD4<sup>+</sup> T cells demonstrate the strongest association with reduced COVID-19 severity compared to antibody or CD8<sup>+</sup> T cell responses (<xref ref-type="bibr" rid="B14">14</xref>). A meta-analysis of individuals receiving one to two doses of hepatitis B virus (HBV) vaccine found that PWH with CD4<sup>+</sup> T cell counts below 500 cells/mm<sup>3</sup> exhibited diminished seroconversion responses to hepatitis B virus, although response rates were generally consistent across studies (<xref ref-type="bibr" rid="B63">63</xref>). To assess seroconversion after a third vaccine dose, this study stratified PWH by CD4<sup>+</sup> T cell count using the 200 cells/mm&#xb3; threshold. The antibody conversion rate was significantly higher in those with counts above 200 cells/mm&#xb3; compared to those below this threshold. Although subgroup analyses by vaccine type and geographic region did not explain the heterogeneity, further analysis identified individuals with CD4<sup>+</sup> T cell counts &lt;200 cells/mm&#xb3; as the main source of heterogeneity. This heterogeneity may also be influenced by HIV disease progression and ART status.</p>
<p>T helper 1 (Th1) and follicular helper T (Tfh) cells&#x2014;differentiated subsets of CD4<sup>+</sup> T cells&#x2014;are critical for establishing long-term antiviral immunity (<xref ref-type="bibr" rid="B64">64</xref>). Upon differentiation, these cells activate phagocytes and cytotoxic CD8<sup>+</sup> T cells (<xref ref-type="bibr" rid="B65">65</xref>), and support B cell maturation in germinal centers to produce high-affinity, long-lived antibodies (<xref ref-type="bibr" rid="B66">66</xref>). Accordingly, CD4<sup>+</sup> and Tfh cells are considered key markers of durable, protective antibody responses (<xref ref-type="bibr" rid="B67">67</xref>). CD4<sup>+</sup> T cells produce a broad array of cytokines, including TNF-&#x3b1;, IFN-&#x3b3;, IL-2, IL-4, IL-5, IL-9, IL-10, IL-17, and IL-22. Th1 cells predominantly secrete TNF-&#x3b1;, IFN-&#x3b3;, and IL-2, while Th2 cells produce IL-4, IL-5, IL-9, and IL-13. Th17 and regulatory T cells (Tregs) are sources of IL-17 and IL-10, respectively. Notably, IL-22 is highly expressed by mucosal CD4<sup>+</sup> T cells specific to SARS-CoV-2 (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B51">51</xref>). Findings from included studies showed that in PWH, a third vaccine dose activated Th1, Treg, and Tfh cells and increased cytokine expression&#x2014;including IFN-&#x3b3;, IL-17, and IL-22 (<xref ref-type="bibr" rid="B17">17</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Both CD4<sup>+</sup> and CD8<sup>+</sup> T cells contributed to enhanced antibody responses, with CD4<sup>+</sup> T cells showing a more pronounced role in SARS-CoV-2 immunity (<xref ref-type="bibr" rid="B29">29</xref>, <xref ref-type="bibr" rid="B44">44</xref>, <xref ref-type="bibr" rid="B49">49</xref>, <xref ref-type="bibr" rid="B66">66</xref>, <xref ref-type="bibr" rid="B68">68</xref>, <xref ref-type="bibr" rid="B69">69</xref>).</p>
<p>This study also found no differences in the safety profile of COVID-19 booster vaccines between PWH and HC. Previous research suggests that PWH experience fewer adverse events after the second dose compared to the first (<xref ref-type="bibr" rid="B70">70</xref>&#x2013;<xref ref-type="bibr" rid="B72">72</xref>). However, limited data exist on the safety of booster doses, and individuals who tolerate initial doses well may be more likely to receive boosters (<xref ref-type="bibr" rid="B73">73</xref>, <xref ref-type="bibr" rid="B74">74</xref>). Our findings support the safety of booster vaccination in PWH and may help reduce vaccine hesitancy in this population.</p>
<p>To the best of our knowledge, this is the most comprehensive analysis of COVID-19 booster vaccine immunogenicity and safety in PWH. The study included all relevant literature published from January 1, 2020, to October 22, 2024, involving PWH who received &#x2265;3 doses of a COVID-19 vaccine. These findings provide valuable evidence to address booster vaccine hesitancy among PWH.</p>
<p>Nonetheless, this study has limitations. Firstly, we did not evaluate the real-world effectiveness of booster doses in PWH due to a lack of original studies. Taking into account various factors, such as ART, previous COVID-19 infection, the timing of vaccination, and other viral infections, further research should be designed to explicitly evaluate the effectiveness of booster vaccination in this population. Secondly, although seroconversion indicates potential protection against SARS-CoV-2, it is not a definitive clinical endpoint, which would be better assessed by infection rates. However, few studies address this outcome. Lastly, substantial heterogeneity across studies&#x2014;likely due to differences in study location, timing, and sample size&#x2014;underscores the need for future research to validate these findings.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusion</title>
<p>The findings of our research suggest that the humoral immune response elicited in PWH following administration of the COVID-19 booster vaccine is comparable to that observed in HC. The enhanced antibody response following the administration of a booster shot may similarly contribute to this protective effect. However, PWH with CD4<sup>+</sup> T cell counts below 200 cells/mm&#xb3; continue to exhibit suboptimal antibody seroconversion despite receiving booster doses. These results underscore the importance of booster vaccination in PWH, particularly those with advanced immunosuppression, and suggest that optimizing booster regimens may improve immune outcomes in this population.</p>
</sec>
</body>
<back>
<sec id="s6" 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 in the article/<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Material</bold>
</xref>.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>ZC: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. CW: Writing &#x2013; original draft, Writing &#x2013; review &amp; editing. BC: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. QM: Writing &#x2013; review &amp; editing. MJ: Writing &#x2013; review &amp; editing. KD: Writing &#x2013; review &amp; editing, Writing &#x2013; original draft. XL: Supervision, Investigation, Validation, Writing &#x2013; original draft, Conceptualization, Writing &#x2013; review &amp; editing. DQ: Writing &#x2013; original draft, Validation, Writing &#x2013; review &amp; editing.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by the Applied Basic Research Programs of Science and Technology Commission Foundation of Yunnan Province (202401AS070007), Key Laboratory of Traditional Chinese Medicine for Prevention and Treatment of Neuropsychiatric Diseases, Yunnan Provincial Department of Education; Scientific Research Projects for High-level Talents of Yunnan University of Chinese Medicine (2019YZG01), Young Top-Notch Talent in 10,000 Talent Program of Yunnan Province (YNWR-QNBJ-2019-235 and YNWR-QNBJ-2018-223).</p>
</sec>
<sec id="s9" 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>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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.2025.1668576/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fimmu.2025.1668576/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image2.tiff" id="SF2" mimetype="image/tiff"/>
<supplementary-material xlink:href="Image3.tif" id="SF3" mimetype="image/tiff"/>
</sec>
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