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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2024.1381877</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>A long-term cohort study: the immune evasion and decreasing neutralization dominated the SARS-CoV-2 breakthrough infection</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Liu</surname>
<given-names>Qianyun</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Jin</surname>
<given-names>Meihua</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Mei</surname>
<given-names>Fanghua</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Fan</surname>
<given-names>Hui</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author" equal-contrib="yes">
<name>
<surname>Gu</surname>
<given-names>Mengxue</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn003">
<sup>&#x2020;</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Yuzhen</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Qian</surname>
<given-names>Shengnan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Tan</surname>
<given-names>Xue</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Ji</surname>
<given-names>Lei</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Zhen</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Guozhong</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Yan</surname>
<given-names>Huan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1760600"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yu</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Lan</surname>
<given-names>Ke</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Geng</surname>
<given-names>Qing</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-type="author" corresp="yes">
<name>
<surname>Cai</surname>
<given-names>Kun</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Li</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>State Key Laboratory of Virology, Department of Thoracic Surgery, Renmin Hospital of Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>State Key Laboratory of Virology, College of Life Sciences, TaiKang Center for Life and Medical Sciences, Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>State Key Laboratory of Virology, Modern Virology Research Center and RNA Institute, College of Life Sciences and Frontier Science Center for Immunology and Metabolism, Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Huzhou Center for Disease Control and Prevention</institution>, <addr-line>Huzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Hubei Center for Disease Control and Prevention</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Department of Respiratory and Critical Care Medicine, Renmin Hospital of Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Animal Biosafety Level (ABSL)-III Laboratory/Institute for Vaccine Research, Wuhan University</institution>, <addr-line>Wuhan</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Xiao-Feng Zhao, Johns Hopkins University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Lina Zhou, University of Tennessee Health Science Center (UTHSC), United States</p>
<p>Ruth H. Nissly, The Pennsylvania State University (PSU), United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Qing Geng, <email xlink:href="mailto:gengqingwhu@whu.edu.cn">gengqingwhu@whu.edu.cn</email>; Kun Cai, <email xlink:href="mailto:ckreal@163.com">ckreal@163.com</email>; Li Zhou, <email xlink:href="mailto:zhouli_jerry@whu.edu.cn">zhouli_jerry@whu.edu.cn</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>20</day>
<month>03</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>14</volume>
<elocation-id>1381877</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>02</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>03</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Liu, Jin, Mei, Fan, Gu, Zhang, Qian, Tan, Ji, Zhang, Chen, Yan, Chen, Lan, Geng, Cai and Zhou</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Liu, Jin, Mei, Fan, Gu, Zhang, Qian, Tan, Ji, Zhang, Chen, Yan, Chen, Lan, Geng, Cai and Zhou</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>
<p>Most of vaccinees and COVID-19 convalescents can build effective anti-SARS-CoV-2 humoral immunity, which helps preventing infection and alleviating symptoms. However, breakthrough viral infections caused by emerging SARS-CoV-2 variants, especially Omicron subvariants, still pose a serious threat to global health. By monitoring the viral infections and the sera neutralization ability of a long-tracked cohort, we found out that the immune evasion of emerging Omicron subvariants and the decreasing neutralization led to the mini-wave of SARS-CoV-2 breakthrough infections. Meanwhile, no significant difference had been found in the infectivity of tested SARS-CoV-2 variants, even though the affinity between human angiotensin-converting enzyme 2 (hACE2) and receptor-binding domain (RBDs) of tested variants showed an increasing trend. Notably, the immune imprinting of inactivated COVID-19 vaccine can be relieved by infections of BA.5.2 and XBB.1.5 variants sequentially. Our data reveal the rising reinfection risk of immune evasion variants like Omicron JN.1 in China, suggesting the importance of booster with updated vaccines.</p>
</abstract>
<kwd-group>
<kwd>SARS-CoV-2</kwd>
<kwd>omicron subvariants</kwd>
<kwd>immune evasion</kwd>
<kwd>immune imprint</kwd>
<kwd>long-tracked cohort</kwd>
<kwd>JN.1</kwd>
</kwd-group>
<contract-sponsor id="cn001">National Key Research and Development Program of China<named-content content-type="fundref-id">10.13039/501100012166</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">National Natural Science Foundation of China<named-content content-type="fundref-id">10.13039/501100001809</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">China Postdoctoral Science Foundation<named-content content-type="fundref-id">10.13039/501100002858</named-content>
</contract-sponsor>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="29"/>
<page-count count="9"/>
<word-count count="3971"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Microbes and Innate Immunity</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The coronavirus disease 2019 (COVID-19) pandemic, caused by SARS-CoV-2, still rages around the world since December 2019 (<xref ref-type="bibr" rid="B4">Chen LJ. et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B6">Chen Y. et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B28">Zhou et&#xa0;al., 2020</xref>). Since the initial outbreak, SARS-CoV-2 has been constantly mutating, and most of mutations gather in the genes of structural proteins, especially the Spike, which interacts with human angiotensin-converting enzyme 2 (hACE2) for viral entry (<xref ref-type="bibr" rid="B28">Zhou et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B11">Hoffmann et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2022</xref>).</p>
<p>The Spike protein consists of the S1 and S2 subunits, and the receptor-binding domain (RBD) in the S1 subunit is responsible for hACE2 recognition. The mutations in the Spike, especially in the RBD, may affect the affinity between RBD and hACE2. For instance, mutation N501Y, initially identified in Alpha variants (also known as B.1.1.7), imparts cross-species transmission of SARS-CoV-2 to mice by enhancing receptor binding (<xref ref-type="bibr" rid="B20">Niu et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B17">Liu Y. et&#xa0;al., 2022</xref>). Meanwhile, mutations in the RBD are responsible for the immune evasion, because RBD is the major neutralizing antibody (nAb) epitope and RBD-specific nAbs are vital for serum neutralizing in vaccinees and COVID-19 convalescents. Mutations such as S371L, K417N, L452R, and E484K largely impact the immune response of vaccinees and convalescents by avoiding the antibody recognition of RBD while have little impact on the affinity between RBD and hACE2 (<xref ref-type="bibr" rid="B5">Chen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B15">Liu Q. et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B16">Liu et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B13">Li et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B10">Harvey et&#xa0;al., 2021</xref>).</p>
<p>In the early stages of the COVID-19 pandemic, only several mutations in Spike were identified in Alpha, Beta, Gamma, and Delta variants. The Delta variant was once the dominant lineage, but since January 2022, it was replaced by the Omicron variant, which carries more than 30 mutations in the Spike protein. Although most of convalescents can built humoral immune against SARS-CoV-2 after infection, Omicron subvariants, such as BA.1&#x2013;BA.4, BA.5.2, BQ.1.1, XBB, EG.5 and JN.1, are still emerging, causing mini-waves of breakthrough infection (infection or reinfection in vaccinees or convalescents) around the world. Investigation on the duration and broad neutralization of the humoral immune in COVID-19 convalescents can provide insights into the antibody immunity and protection against SARS-CoV-2 infection/reinfection and in developing broad and potent vaccines against the emerging immune evasive variants.</p>
<p>In this study, we tracked a 2-year-long cohort who had received three doses of inactivated COVID-19 vaccine based on the original strain in Wuhan, China. The sera samples were collected before and after the infection of Omicron BA.5.2 and the reinfection of Omicron XBB.1.5. By assessing the neutralizing activity of these sera, we found out that the constant mini-waves of SARS-CoV-2 infections caused by the emerging variants were related with the drastic immune evasion and the decreasing sera neutralization of convalescents along time. Meanwhile, repeated infections by Omicron subvariants largely mitigated the immune imprinting of inactivated vaccines. Overall, our results reveal the rising reinfection risk of emerging immune evasion variants and suggesting the importance of booster and the antigen update of vaccines.</p>
</sec>
<sec id="s2" sec-type="results">
<title>Results</title>
<sec id="s2_1">
<title>A long-tracked vaccinees repeatedly infected by Omicron variants</title>
<p>At the beginning of 2020, the COVID-19 caused a short chaos in China, but the epidemic was quickly brought under control, due to the strict and effective epidemic prevention and control policies. Along with the increasing vaccination rate, the control policies were gradually loosened. At the beginning of 2022, over 87% of people had been fully vaccinated, and most of the them were administrated with three doses of inactivated vaccine, which was an inactivated vaccine based on the original SARS-CoV-2 strain (<ext-link ext-link-type="uri" xlink:href="http://www.gov.cn">www.gov.cn</ext-link>). The herd immunity built by inactivated vaccines had played important roles against breakthrough infection in China. However, over 80% of Chinese were infected by Omicron BA.5.2 or BF.7 variants from December 2022 to February 2023, leading to a peak of infection (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). Fortunately, the case fatality rate of Omicron variants was significantly lower than the former strains, which could be explained by the vaccination, better medical conditions, and the decrease in the pathogenicity of the virus itself (<xref ref-type="bibr" rid="B27">Yuan and Ye, 2022</xref>; <xref ref-type="bibr" rid="B1">B&#xe1;lint et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B7">Fan et&#xa0;al., 2022</xref>). After this infection peak, only mini-waves emerged, with the rapid changes in the circulating Omicron sublineages in China. It was worth noting that the Omicron XBB.1.5 caused a small infection peak in the summer and autumn of 2023 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>The breakthrough infections of BA.5.2/BF.7 and XBB.1.5 in China. <bold>(A)</bold> The composition ratio of SAS-CoV-2 variants and the confirmed COVID-19 cases in China. The data are from Chinese Center for Disease Control and Prevention and GISAID. The dashed line donates the possible mini-wave of SARS-CoV-2 infection in the future. <bold>(B)</bold> The timetable of sample collection for this study.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1381877-g001.tif"/>
</fig>
<p>To monitor the immune response in vaccinees, we tracked a cohort consisting 30 participants in Wuhan, who were infected by Omicron BA.5.2 subvariant in December 2022 and were infected by Omicron XBB.1.5 in April&#x2013;May 2023. As shown in <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>, the sera samples of this cohort were collected at multiple time points: 1 month and 9 months after the last dose inactivated vaccine, 1 month and 4 months after each infection.</p>
</sec>
<sec id="s2_2">
<title>The infectivity of the Omicron subvariants</title>
<p>It was reported that D614G can significantly improve infectivity of SARS-CoV-2 (<xref ref-type="bibr" rid="B29">Zhou et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B18">Ma et&#xa0;al., 2022</xref>). The Omicron subvariants carried more than 30 mutations in addition to D614G in Spike (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). In order to investigate the potential effect of mutations on the infectivity, we detected the hACE2 affinity and infection features of SARS-CoV-2 wild type (WT), Delta variant, and several Omicron subvariants. Through biolayer interferometry (BLI) assay, the hACE2 binding capacity of RBDs from SARS-CoV-2 WT and other seven previous/currently circulating variants were measured. The kinetic binding affinity (<italic>K<sub>D</sub>
</italic>) values between RBDs and hACE2 were from 22.34&#x2009; nmol/L to 65.21 nmol/L, showing an increasing trend of hACE2 affinity from WT to XBB.1.5 and JN.1 but still in same order magnitude (<xref ref-type="fig" rid="f2">
<bold>Figures&#xa0;2B, C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>The infectivity of the SARS-CoV-2 and its variants. <bold>(A)</bold> The amino acid alterations in the S protein of SARS-CoV-2 variants tested in this study. <bold>(B, C)</bold> The hACE2 affinity test. Dashed lines are the fit lines. <bold>(D)</bold> The pseudovirus infection ability of SARS-CoV-2 variants as indicated. Two-way ANOVA with Tukey&#x2019;s multiple comparison test was used. ns, <italic>p</italic> &gt; 0.05. Error bars represent the means with standard deviations. Three times of replicates were tested and the average values were taken.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1381877-g002.tif"/>
</fig>
<p>We then tested the infection features of these strains through pseudovirus infection assay. Pseudovirus bearing WT-Spike protein with D614G mutation (WT-D614G) was used as a reference virus as the D614G is critical for higher viral infectivity. Interestingly, no significant difference was observed in all tested strains including WT-D614G, Delta, Omicron BA.5.2, BF.7, BQ.1.1, XBB.1.5, EG.5, and JN.1 at the same median tissue culture infectious dose (TCID<sub>50</sub>) in BHK-21-hACE2 cells (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>).</p>
</sec>
<sec id="s2_3">
<title>The immune evasion of emerging Omicron subvariants</title>
<p>The emergence of immune evasion SARS-CoV-2 variants repeatedly, especially Omicron subvariants (BA.5.2, BF.7, XBB.1.5, EG.5, etc.), is still a global threat (<xref ref-type="bibr" rid="B25">Wang et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B12">Kurhade et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B19">Miller et&#xa0;al., 2023</xref>). To monitor the immune response against these variants in vaccinees, we first conducted the pseudovirus neutralization assay with sera samples collected at 1 month and 9 months after the third dose of inactivated vaccine administration. One month after the third dose, the serum mean neutralization efficiency against WT-D614G was 60.6%. However, the efficiency reduced to 17.6%, 15.5%, 3.4%, 1.4%, 1.1%, and 0.6% for BA.5.2, BF.7, BQ.1.1, XBB.1.5, EG.5, and JN.1, respectively, when we tested the sera samples at 25-fold dilution, indicating the significant immune evasion of these Omicron subvariants. Nine months after the third dose of inactivated vaccine, the mean neutralization efficiency of the sera against WT-D614G drop to 33.2%, about a half than before. Moreover, the efficiency against Omicron subvariants dropped to near background when tested at 25-fold dilution (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). By November 2022, it has been more than 9 months since the last vaccination for most people in China. Considering the immune evasion of BA.5.2 and BF.7, the major prevalent subvariants (<ext-link ext-link-type="uri" xlink:href="https://www.chinacdc.cn">https://www.chinacdc.cn</ext-link>), as well as the dropped herd immunity established by vaccines, the infection peak of Omicron BA.5.2/BF.7 infection during this period could be explained.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Sera-neutralizing activity against Omicron subvariants. <bold>(A)</bold> The neutralizing activity of vaccinees. The sera samples were collected at 1 month and 9 months after three doses of inactivated vaccine administrations at 25-fold dilution against pseudoviruses bearing S proteins from the indicated variants with WT-D614G as a control. <bold>(B)</bold> The neutralizing activity of vaccinees&#x2019; sera at 1 month and 4 months after BA.5.2 infection at 25-fold dilution. <bold>(C)</bold> The neutralizing activity of vaccinees&#x2019; sera at 1 month and 4 months after XBB.1.5 reinfection at 25-fold dilution. The color of the small square represents the number of neutralizing activity. The numbers at the bottom of each column donates the mean of the pseudovirus neutralizing activity. Three times of replicates were tested and the average values were taken. &#x201c;100% pseudovirus neutralization&#x201d; indicates that 100% of pseudovirus is neutralized.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1381877-g003.tif"/>
</fig>
<p>After the infection peak of BA.5.2/BF.7 in China, new variants such as BQ.1.1 and XBB.1.5 were circulating around the world (<xref ref-type="bibr" rid="B2">Callaway, 2023</xref>). We conducted the pseudovirus neutralization assay with sera samples collected at 1 month and 4 months after the BA.5.2 infection. One month after BA.5.2 infection, the humoral immune was significantly improved, the serum mean neutralization efficiency was 98.7%, 97.7%, 96.8%, 84.3%, 58.0%, 54.3%, and 50.9% against WT-D614G, BA.5.2, BF.7, BQ.1.1, XBB.1.5, EG.5, and JN.1, respectively. Four months after the BA.5.2 infection, the efficiency against WT-D614G, BA.5.2, BF.7, and BQ.1.1 maintained well, but the efficiency against XBB.1.5 dropped to 29.8% (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>), consistent with the mini-wave of XBB.1.5 in the summer of 2023 in China (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). In addition, the humoral immune against Omicron sublineages was significantly improved by the XBB.1.5 infection. The serum neutralization efficiency against most tested Omicron sublineages kept at relatively high level within 4 months after the reinfection (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). A potentially unsettling factor is that the neutralization efficiency against JN.1 sublineages dropped to 61.2% at 4 months after the reinfection, indicating the potential infection risk of JN.1 in the spring of 2024 in China.</p>
</sec>
<sec id="s2_4">
<title>The mitigated immune imprint of inactivated vaccine</title>
<p>For further quantitative research on the immune response in vaccinees after breakthrough infection, we assessed the geometric mean 50% neutralization titer (NT<sub>50</sub>) of sera samples collected after infections against the Omicron sublineages. One month after the BA.5.2 infection, the NT<sub>50</sub> against the WT-D614G, BA.5.2, BF.7, BQ.1.1, XBB.1.5, EG.5, and JN.1 was 5869.6, 1957.0, 1607.4, 785.0, 112.7, 65.3, and 60.3, respectively. Comparing with WT-D614G, the NT<sub>50</sub> to Omicron subvariants are lower by factors of 3.0&#x2013;97.3. Four months after the BA.5.2 infection, the NT<sub>50</sub> decreased by factor of 1.8&#x2013;5.6, alerting the reinfection risk of XBB.1.5 at that time (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>). Notably, we found out that the infection of Omicron BA.5.2 largely boosted the neutralizing antibodies against WT-D614G (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>). Meanwhile, the NT<sub>50</sub> against the WT-D614G was higher than NT<sub>50</sub> against the BA.5.2 after the BA.5.2 infection (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>), indicating the vaccine-induced immune imprinting.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>NT<sub>50</sub> values of convalescents&#x2019; sera against Omicron subvariants. <bold>(A, B)</bold> Analysis of NT<sub>50</sub> values of BA.5.2 convalescents&#x2019; sera (1 month and 4 months after the infection) against WT-D614G and indicated Omicron subvariants. <bold>(C, D)</bold> Analysis of NT<sub>50</sub> values of XBB.1.5 convalescents&#x2019; sera (1 month and 4 months after the infection), who had been infected by BA.5.2 previously. The top numbers on top of each column donate the mean of the NT<sub>50</sub> values, and the bottom numbers on top of each column donate the fold changes of the mean values comparing with the WT-D614G. Dashed lines indicate the limit of detection (NT<sub>50&#xa0;</sub>=&#xa0;25).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-14-1381877-g004.tif"/>
</fig>
<p>In addition, we also connected another 11 participants who had accepted three doses of inactivated vaccine administrations and then been infected by BF.7 in Huzhou, China. Their immune response at 1 month after BF.7 infection was similar with BA.5.2 convalescents (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure S1</bold>
</xref>), which are understandable since there was only one different mutation (R346T) in their Spike (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Regretfully, we lost connection with this BF.7 cohort.</p>
<p>Moreover, 1 month after the XBB.1.5 infection, the NT<sub>50</sub> against the WT-D614G, BA.5.2, BF.7, BQ.1.1, XBB.1.5, EG.5, and JN.1 was 983.1, 4671.6, 2155.7, 1128.1, 815.2, 552.0, and 302.2, respectively. Four months after the XBB.1.5 infection, the NT<sub>50</sub> decreased by factor of 3.9&#x2013;5.3 (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4C, D</bold>
</xref>). After the infection of XBB.1.5, NT<sub>50</sub> against the BA.5.2 became the highest rather than NT<sub>50</sub> against WT-D614G. These results indicated that two rounds of Omicron infections largely mitigated the immune imprint of three doses of inactivated vaccine.</p>
</sec>
</sec>
<sec id="s3" sec-type="discussion">
<title>Discussion</title>
<p>In this study, we built a long-tracked cohort consisting of 30 vaccinees in Wuhan, who were infected by BA.5.2 and XBB.1.5 in 2022 and 2023, respectively (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). By monitoring the humoral immune before and after the infections, we found out that the variants that caused the mini-waves of breakthrough infections were variants with drastic immune evasion, and the decreasing sera neutralization in vaccinees along time aggravated the breakthrough infections (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3</bold>
</xref>, <xref ref-type="fig" rid="f4">
<bold>4</bold>
</xref>). Notably, two rounds of Omicron infections could efficiently mitigate the immune imprint of the original-strain based inactivated vaccine, consisting with the previous reports (<xref ref-type="bibr" rid="B3">Cao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B26">Yisimayi et&#xa0;al., 2024</xref>).</p>
<p>The mutations in the Spike, especially in the RBD, lead to the immune evasion abilities of Omicron subvariants. The emerging JN.1 variant, with newly identified N450D and L455S mutations, showed potential immune evasion (<xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4C, D</bold>
</xref>). However, the damage of possible future mini-wave of JN.1 infection will not be as serious as BA.5.2 or BF.7 in China since the herd immunity built by the BA.5.2/BF/7 infection peak. Meanwhile, in spite of the different hACE2 affinity, no significant difference was found in the infectivity of the Omicron subvariants (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>), consisting with the previous reports (<xref ref-type="bibr" rid="B3">Cao et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B8">Faraone et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B24">Shuai et&#xa0;al., 2022</xref>).</p>
<p>Immune imprint is the immune system&#x2019;s propensity to limit its response to new mutated antigens after responding to the original antigen (<xref ref-type="bibr" rid="B22">P&#xe9;rez-Al&#xf3;s and Hansen, 2023</xref>). Many kinds of vaccines based on the original SARS-CoV-2 have been used around world, and have played important roles in the fight against the COVID-19. However, the immune imprint of these vaccines is reported while the Omicron subvariants emerge. The infection of BA.5.2 and XBB.1.5 mitigated immune imprint in the vaccinees, and improved the Omicron specific immune response, consistent with the studies on other kinds of vaccinees (<xref ref-type="bibr" rid="B26">Yisimayi et&#xa0;al., 2024</xref>; <xref ref-type="bibr" rid="B23">R&#xf6;ltgen et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B14">Li et&#xa0;al., 2022</xref>).</p>
<p>In sum, by monitoring the immune response of a long-tracked cohort, we found out that the immune evasion of emerging Omicron subvariants is largely responsible for the breakthrough infections. Meanwhile, the immune imprint in vaccinees can be largely mitigated by repeated Omicron infections, indicating the necessary of multiple administrations of vaccines and the updating of vaccines rapidly, the vaccines based on XBB variants (<xref ref-type="bibr" rid="B21">Patel et&#xa0;al., 2023</xref>; <xref ref-type="bibr" rid="B9">Hansen et&#xa0;al., 2024</xref>), for example.</p>
</sec>
<sec id="s4">
<title>Methods</title>
<sec id="s4_1">
<title>Sample collection</title>
<p>Blood samples from the long-tracked cohort (30 participants) who had three-dose vaccination of inactivated vaccine were collected after 1 month and 9&#x2013;10 months. The same cohort was infected by Omicron BA.5.2, and all participants recovered within 2 weeks. At 1 month and 4 months after the infection, blood samples from this cohort were collected. The same cohort was then infected by Omicron XBB.1.5, and all individuals recovered within 2 weeks. At 1 month and 4 months after the infection, blood samples from this cohort were collected. Another 11 blood samples were collected at 1 month after the BF.7 infection. After centrifugation, serum from the upper layer were collected and incubated at 56&#xb0;C for 30&#xa0;min for heat inactivation, and then stored at &#x2212;80&#xb0;C until use. The infecting strain was determined by viral genome sequencing of the throat swab from the participants. The participants were randomly recruited to the cohort according to the criteria of the easy sampling principle. Convalescents who had mental disorders, dementia, difficulty in moving freely, or refused to enroll or were not contactable were excluded from the cohort. The age range for the participants was 19&#x2013;65 years; 16 participants were male and 14 participants were female.</p>
</sec>
<sec id="s4_2">
<title>Plasmids</title>
<p>The DNA sequences of human codon-optimized S proteins from SARS-COV-2 variants (WT-D614G, Delta, BA.5.2, BF.7, BQ.1.1, XBB.1.5, EG.5, and JN.1) and S protein mutations were commercially synthesized or generated by overlapping PCR-based mutagenesis using pCAGGS-SARS-CoV-2-S-C9 as the template and cloned into pCAGGS vector with C-terminal 18 amino acid (aa) truncation to improve VSV pseudotyping efficiency.</p>
</sec>
<sec id="s4_3">
<title>Cell culture</title>
<p>BHK-21 (ATCC, CCL-10) and Vero E6 cells (ATCC, CRL-1586) were cultured in Dulbecco&#x2019;s modified Eagle&#x2019;s medium (DMEM, Gibco) supplemented with 10% fetal bovine serum (FBS, Excell Bio, Suzhou, China), 2.0 mM L-glutamine, 110 mg/L sodium pyruvate, and 4.5 g/L D-glucose. BHK-21-ACE2 (clone 7), which stably expresses human ACE2 was generated based on BHK-21 through lentiviral transduction and maintained with puromycin at 1 &#x3bc;g/mL. I1-Hybridoma (CRL-2700) secreting a monoclonal antibody targeting VSV glycoprotein was cultured in minimum essential medium with Earle&#x2019;s salts and 2.0 mM L-glutamine (MEM; Gibco) supplemented with 10% FBS. All cells were cultured at 37&#xb0;C in 5% CO<sub>2</sub> with regular passage every 2&#x2013;3 days.</p>
</sec>
<sec id="s4_4">
<title>Expression and purification of Fc-RBD</title>
<p>HEK293F cells were cultured in SMM 293T-I medium (Sino Biological) at 37&#xb0;C, with 5% CO<sub>2</sub>. Plasmids of Fc-RBD were transfected into HEK293F when the cell density is 1&#x2009;&#xd7;&#x2009;10<sup>6</sup> cells per mL with EZ Trans (Life-Lilab) transfection reagent. The cell supernatant was collected by centrifugation to remove the cells, and Protein A Resin (GenScript) was used to purify the mAbs. These mAbs were further purified by a Superose 6 10/300 column (GE Life Sciences) and resuspended into phosphate-buffered saline (PBS), and the purity of the recombinant antibodies was analyzed by SDS-PAGE.</p>
</sec>
<sec id="s4_5">
<title>Biolayer interferometry binding assay</title>
<p>The binding affinity of the purified SARS-CoV-2 Fc-RBD protein with His-hACE2 was monitored by BLI using an Octet-Red 96 device (Pall ForteBio). Briefly, 20&#x2009;&#x3bc;g/ml of Fc-RBD were loaded onto protein A (ProA) biosensors (ForteBio, 18&#x2013;5010), and then dipped into phosphate-buffered saline with Tween 20 (PBST) buffer to wash out unbound mAb. Then, the biosensors were dipped into PBST buffer containing soluble His-hACE2 protein with concentrations ranging from 0 nM to 300&#x2009;nM and then dipped into PBST buffer to record dissociation kinetics. PBST buffer was used to define the background. The affinities were calculated by Octet Data Analysis software.</p>
</sec>
<sec id="s4_6">
<title>SARS-CoV-2 pseudovirus production and titration</title>
<p>The pseudovirus packaged with spike proteins from the WT-D614G SARS-CoV-2, and the SARS-CoV-2 variants were produced as we described before (<xref ref-type="bibr" rid="B15">Liu Q. et&#xa0;al., 2022</xref>). In brief, Vero-E6 cells were transfected with plasmids expressing different S proteins through Lipofectamine 2000 (Biosharp, Hefei, China). After 24h, the transfected cells were inoculated with VSV-dG-fLuc [1 &#xd7; 10<sup>6</sup> 50% tissue culture infectious dose (TCID<sub>50</sub>)/mL] diluted in DMEM for 5h at 37&#xb0;C and then replenished with growth medium (DMEM with 10% FBS) containing anti-VSV-G monoclonal antibody (I1-hybridoma, cultured supernatant, 1:20). Twenty-four hours later, the SARS-CoV-2 pseudovirus-containing supernatant was harvested and clarified at 3,000 rpm for 10&#xa0;min, aliquoted, and frozen at &#x2212;80&#xb0;C for storage. The TCID<sub>50</sub> of the pseudovirus was determined using a serial dilution-based infection assay on BHK-21-hACE2 cells and calculated according to the Reed-Muench method.</p>
</sec>
<sec id="s4_7">
<title>SARS-CoV-2 pseudovirus neutralization assay</title>
<p>The SARS-CoV-2 pseudoviruses (1 &#xd7; 10<sup>5</sup>) TCID<sub>50</sub>/well) were incubated with serial-diluted sera at room temperature for 30&#xa0;min in 96-well white flat-bottom culture plates and then mixed with trypsinized BHK-21-hACE2 cells at a density of 2 &#xd7; 10<sup>4</sup>/well. After 16h, the medium of the infected cells was removed, and the cells were lysed with 1&#xd7; Bright-Glo Luciferase Assay reagent (Promega) for chemiluminescence detection using a SpectraMax iD3 multi-well luminometer (molecular devices). The 50% neutralization dilution titer (NT<sub>50</sub>) was calculated by GraphPad Prism 7 software with nonlinear regression curve fitting (normalized response, variable slope).</p>
</sec>
</sec>
<sec id="s5" 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="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by The Institutional Review Boards of Hubei Provincial Centre for Disease Control (2021-012-01) and the Life Medical Ethics Committee at Wuhan University (WHU-LFMD-IRB2023002). Informed consent was obtained from all human research participants. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>QL: Conceptualization, Writing &#x2013; review &amp; editing, Formal analysis, Funding acquisition, Investigation, Methodology, Software, Validation, Visualization, Writing &#x2013; original draft. MJ: Project administration, Resources, Validation, Writing &#x2013; review &amp; editing, Conceptualization, Investigation. FM: Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Validation, Writing &#x2013; review &amp; editing. HF: Conceptualization, Data curation, Investigation, Methodology, Resources, Visualization, Writing &#x2013; review &amp; editing. MG: Data curation, Investigation, Resources, Software, Validation, Visualization, Writing &#x2013; original draft. YZ: Data curation, Formal analysis, Investigation, Methodology, Software, Validation, Writing &#x2013; review &amp; editing. SQ: Data curation, Formal analysis, Investigation, Methodology, Resources, Software, Validation, Writing &#x2013; review &amp; editing. XT: Data curation, Formal analysis, Investigation, Methodology, Software, Writing &#x2013; review &amp; editing. LJ: Conceptualization, Data curation, Resources, Writing &#x2013; review &amp; editing. ZZ: Data curation, Investigation, Software, Validation, Writing &#x2013; review &amp; editing. GC: Investigation, Validation, Visualization, Writing &#x2013; review &amp; editing. HY: Investigation, Supervision, Writing &#x2013; review &amp; editing. YC: Investigation, Project administration, Supervision, Validation, Writing &#x2013; review &amp; editing, Resources. KL: Investigation, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing, Conceptualization, Funding acquisition. QG: Investigation, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing, Validation. KC: Conceptualization, Investigation, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing, Data curation. LZ: Conceptualization, Funding acquisition, Investigation, Project administration, Resources, Supervision, Writing &#x2013; review &amp; editing.</p>
</sec>
</body>
<back>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. This project is supported by the National Key R&amp;D Program of China (2022YFC2604100 to LZ), the National Natural Science Foundation of China (32188101 to KL), China Postdoctoral Science Foundation (2023M732705 to QL), Hubei Public Health Youth Talent Program (S2022JY22 to KC), and Chu Tian Excellence Program (Medical and Health to KC).</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank all volunteers for providing the blood samples.</p>
</ack>
<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="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="s11" 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/fcimb.2024.1381877/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2024.1381877/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.tif" id="SF1" mimetype="image/tiff">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Analysis of NT<sub>50</sub> values of BF.7 convalescents&#x2019; sera (1 month after the infection) against WT-D614G and indicated Omicron subvariants. The top numbers on top of each column donate the mean of the NT<sub>50</sub> values, and the bottom numbers on top of each column donate the fold changes of the mean values comparing with the WT-D614G. Dashed lines indicate the limit of detection (NT<sub>50&#xa0;</sub>=&#xa0;25).</p>
</caption>
</supplementary-material>
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