==== Front Natl Sci Rev Natl Sci Rev nsr National Science Review 2095-5138 2053-714X Oxford University Press 37396140 10.1093/nsr/nwad148 nwad148 BRIEF COMMUNICATION IMMUNOLOGY Special Section: SARS-CoV-2 Nsr/8 AcademicSubjects/MED00010 AcademicSubjects/SCI00010 Striking antibody evasion of SARS-CoV-2 Omicron sub-lineages BQ.1.1, XBB.1 and CH.1.1 Ju Bin Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Guangdong Key Laboratory for Anti-Infection Drug Quality Evaluation, China Guo Huimin Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Wang Miao Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Fan Qing Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Shen Senlin Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Liao Xuejiao Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Jiang Jie Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Wang Haiyan Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Wang Fuxiang Department of Infectious Diseases, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China https://orcid.org/0000-0002-3544-1389 Zhang Zheng Institute for Hepatology, National Clinical Research Center for Infectious Disease, Shenzhen Third People's Hospital, and The Second Affiliated Hospital, School of Medicine, Southern University of Science and Technology, China Guangdong Key Laboratory for Anti-Infection Drug Quality Evaluation, China Shenzhen Research Center for Communicable Disease Diagnosis and Treatment of the Chinese Academy of Medical Sciences, China Corresponding author. E-mail: zhangzheng1975@aliyun.com Corresponding author. E-mail: jubin2013@163.com Equally contributed to this work. 8 2023 23 5 2023 23 5 2023 10 8 nwad14821 12 2022 18 4 2023 22 5 2023 29 6 2023 © The Author(s) 2023. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd. 2023 https://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. An intelligent indoor metasurface robotic is empowered on the physical layer by programmable metasurfaces and on the cyber layer by artificial-intelligence tools. National Key Plan for Scientific Research and Development of China 2021YFC0864500 2021YFC2301900 National Science Fund for Excellent Young Scholars 10.13039/100014717 82025022 National Natural Science Foundation of China 10.13039/501100001809 82171752 92169204 82002140 Guangdong Basic and Applied Basic Research Foundation 10.13039/501100021171 2021B1515020034 2023A1515011883 2019A1515011197 Shenzhen Science and Technology Program RCYX20200714114700046 RCBS20210706092345028 Science and Technology Planning Project of Shenzhen Municipality 10.13039/501100013093 JSGG20210901145200002 JSGG20220226085550001 JSGG20200207155251653 JSGG20220606140200002 Shenzhen Natural Science Foundation 10.13039/100016804 JCYJ20190809115617365 JCYJ20220530163413031 JCYJ20220530163405012 JCYJ20200109144201725 ==== Body pmcThe recent emergence of various B.1.1.529 (Omicron) sub-lineages of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) poses an enormous challenge for the prevention and treatment of coronavirus disease 2019 (COVID-19) [1,2]. BA.2 and BA.5 sub-lineages, with marked antibody evasion, have been dominant in many countries and regions worldwide [3,4]. Recently, a series of BA.2- and BA.5-related progeny and recombinant variants have been isolated and identified, such as BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1 [5], whose ability to escape immune plasma and neutralizing antibodies (nAbs) needs to be evaluated immediately. As shown in Fig. 1A and Supplementary Fig. S1, BJ.1, BA.2.75 and BA.2.3.20 were three progeny sub-variants of BA.2, carrying 15, 9 and 10 alterations, respectively [5]. BQ.1.1 was the progeny virus of BA.5, with three additional mutations. CH.1.1 was one of the most frequently observed BA.2.75 sub-variants, carrying additional R346T, K444T, L452R and F486S mutations [6]. XBB was a recombinant variant between BJ.1 and BA.2.75, which further evolved to XBB.1 with an additional G252V substitution. Here, we construct SARS-CoV-2 pseudoviruses of BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1, and measure their capacity to evade antibodies of the plasma of BA.4 or BA.5 breakthrough infected donors and monoclonal nAbs in a head-to-head comparison with the wild type (WT), BA.2 and BA.4/5 (BA.4 and BA.5 sharing the same amino acid sequence in the spike region). Figure 1. Neutralization resistance of SARS-CoV-2 Omicron sub-lineages to BA.4 or BA.5-infected human plasma and existing monoclonal bnAbs. (A) A schematic diagram of the evolution of several SARS-CoV-2 Omicron sub-lineages. Some additional mutations acquired by BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1 are displayed. (B) and (C) The neutralization of 20 BA.4 or BA.5 breakthrough infected human plasma samples collected in the early stage of infection (B: Visit 1) and in another follow-up (C: Visit 2, an interval of 7–15 days) against WT SARS-CoV-2, BA.2, BA.4/5, BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1, respectively. ID50 values are means of two independent experiments. Data are presented as geometric mean values ± standard deviation (SD). The number, GMT, fold change and significance-of-difference are labeled at the top. ‘−’ represents a decreased value and ‘+’ an increased value. The statistical significance was performed using the two-tailed Kruskal-Wallis test with paired Wilcoxon's multiple-comparison test. ****, P < 0.0001; ***, P < 0.001; *, P < 0.05. (D)–(F) Overall structure and footprint of bnAbs in complex with SARS-CoV-2. S2K146, LY-CoV1404 and COV2-2130 recognize the epitopes overlapping with the RBS (D). S2H97, COVOX-45, WRAIR-2057, ION_300 and N-612-056 target the lateral RBD site (E). CC40.8, CV3-25, S2P6 and WS6 bind to the stem helix in S2 of the spike (F). (G)–(I) The neutralization of monoclonal bnAbs against WT SARS-CoV-2, BA.2, BA.4/5, BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1. IC50 values are means of two independent experiments. The neutralization potency is marked in a different color. Red: high, yellow: moderate, green: weak, gray: non-neutralization (IC50 > 50 μg/mL). The plasma samples were obtained from 20 BA.4- or BA.5-infected individuals who had received at least two doses of SARS-CoV-2 vaccines based on the WT virus or WT spike sequence, including adenovirus-vectored, inactivated, mRNA and recombinant protein vaccines (Supplementary Fig. S2, Tables S1 and S2). In the early stage of breakthrough infection (Visit 1, 0–5 days post positive PCR test), plasma nAbs were detectable in most individuals (15/20), with geometric mean titer (GMT) of 82 against the vaccine stimulation-related WT SARS-CoV-2 pseudovirus. By contrast, most plasma samples lost their neutralizing activities against BA.2, BA.4/5, BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1 (Fig. 1B and Supplementary Fig. S3). In another follow-up (Visit 2, 7–15 days after Visit 1), the overall GMTs of plasma nAbs against all tested variants had increased to some extent (Fig. 1C and Supplementary Fig. S4), due to the BA.4 or BA.5 breakthrough infection. However, these plasma samples still showed 4.1-, 3.9-, 57.0-, 12.9-, 25.5-, 49.0-, 92.5- and 106.8-fold reduction in the GMT against BA.2, BA.4/5, BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1, respectively, as compared with that against WT. BA.2 and BA.4/5 were previous Omicron sub-lineages, having relatively higher homology with WT virus than BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1. Therefore, the GMTs of the nAbs of these plasma samples against WT, BA.2 and BA.4/5 were significantly higher than against other variants (Fig. 1C). CH.1.1 displayed the largest degree of neutralizing antibody evasion induced by the BA.4 or BA.5 breakthrough infection among all tested Omicron sub-lineages. Meanwhile, these paired plasma samples between Visit 1 and Visit 2 provided an opportunity to quantify the enhancement of the BA.4 or BA.5 breakthrough infection in WT-vaccinated people. A similar analysis was performed to evaluate the BA.2 breakthrough infection in our previous study [7]. As shown in Supplementary Fig. S5, the fold change (FC) of GMTs against WT was the highest (51.0-fold), followed by BA.4/5, BA.2, BA.2.75, BA.2.3.20, BQ.1.1, BJ.1, XBB.1 and CH.1.1. Of note, it was difficult for the BA.4 or BA.5 breakthrough infection to promote neutralization against CH.1.1. Overall, due to the original antigenic sin (or so-called immune imprinting) of the initial WT vaccination, these plasma samples from BA.4 or BA.5 breakthrough infected individuals acquired weaker neutralization against subsequent Omicron sub-lineages, such as BQ.1.1, XBB.1 and CH.1.1. In this study, we also evaluated the neutralization resistances of these recently emerged Omicron sub-lineages to eight previous monoclonal broad nAbs (bnAbs) directed to the receptor-binding domain (RBD) of the spike and four S2-specific bnAbs (Supplementary Fig. S6). According to their well-defined structural information, we analyzed their binding epitopes and broadly neutralizing activities in parallel. Among these anti-RBD bnAbs, S2K146, LY-CoV1404 and COV2-2130 recognize the epitopes overlapping with the receptor-binding site (RBS), displaying both good broad-spectrum and potent neutralizing capacity (Fig. 1D). In contrast, another five anti-RBD bnAbs (S2H97, COVOX-45, WRAIR-2057, ION_300 and N-612-056) with moderate potencies target the lateral site, barely overlapping with the RBS (Fig. 1E). Except for the RBD, so far, another main target for bnAbs is the S2 domain of the spike. For example, CC40.8, CV3-25, S2P6 and WS6 bind to the stem helix and disturb further conformational change (Fig. 1F). Although LY-CoV1404 and COV2-2130 could potently neutralize WT SARS-CoV-2, BA.2, BA.4/5 and BA.2.75, they totally lost their neutralization against BJ.1, BQ.1.1, XBB.1 and CH.1.1. Meanwhile, the neutralization of COV2-2130 was impaired against BA.2.3.20. S2K146 still maintained overall neutralizing activities against all tested variants, despite marked reduction of potencies against BA.4/5, BQ.1.1 and CH.1.1 (Fig. 1G). In contrast, the majority of the lateral site-targeted bnAbs (4/5) and all of the tested S2 bnAbs targeting the stem helix (4/4) could neutralize recently emerged Omicron sub-lineages including BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1, albeit exhibiting moderate or weak potencies against some particular variants (Fig. 1H and I). In summary, our data showed that BJ.1, BA.2.75, BA.2.3.20, BQ.1.1, XBB.1 and CH.1.1 exhibited large degrees of enhanced antibody evasion from BA.4 or BA.5 breakthrough infected human plasma samples and existing monoclonal bnAbs. Despite the different kinds of vaccines and different doses of immunizations that were involved in this study, all vaccines used here were derived from the WT virus or designed based on the WT spike sequence. From this perspective, this cohort could be used to analyze the influence of the WT-vaccination immune background on the boosting effect of BA.4/5 breakthrough infection. The original antigenic sin phenomenon was also observed in the BA.4/5 breakthrough infection, similar to that previously reported in the BA.1 and BA.2 breakthrough infections [5,8]. Consistent with previous studies [5,6,9], a wide range of Omicron sub-lineages escaped LY-CoV1404 (an approved antibody drug, also known as bebtelovimab) for the first time. LY-CoV1404 had always been regarded as the best bnAb before the BJ.1, BQ.1.1, XBB.1 and CH.1.1 variants emerged [2,10]. However, our study highlights that some bnAbs binding to the lateral RBD epitope and the S2 stem helix could provide a necessary supplement for the development of broad antibody drug candidates in order to tackle the ongoing COVID-19 pandemic. DATA AVAILABILITY We are happy to share reagents and information upon request. Supplementary Material nwad148_Supplemental_File Click here for additional data file. ACKNOWLEDGEMENTS We thank the patients for their contributions to this study and all the health care providers from the Shenzhen Third People's Hospital for the work they have done. We thank the biological sample bank (BioBank) of the Shenzhen Third People's Hospital for bio-samples and services provided. We thank scientists around the world for sharing their antibody sequences and structure information on the public database in time. AUTHOR CONTRIBUTIONS Z.Z. and B.J. conceived and designed the study. B.J., H.G., M.W. and Q.F. performed all experiments and analyzed the data, with assistance from S.S., X.L., J.J., H.W. and F.W.; Z.Z. and B.J. wrote the manuscript and all authors read and approved this version of the manuscript. FUNDING This work was supported by the National Key Plan for Scientific Research and Development of China (2021YFC0864500 and 2021YFC2301900), the National Science Fund for Distinguished Young Scholars (82025022), the National Natural Science Foundation of China (82171752, 92169204 and 82002140), the Guangdong Basic and Applied Basic Research Foundation (2021B1515020034, 2023A1515011883 and 2019A1515011197), the Shenzhen Science and Technology Program (RCYX20200714114700046 and RCBS20210706092345028), the Science and Technology Innovation Committee of Shenzhen Municipality (JSGG20210901145200002, JSGG20220226085550001, JSGG20200207155251653 and JSGG20220606140200002) and the Shenzhen Natural Science Foundation (JCYJ20190809115617365, JCYJ20220530163413031, JCYJ20220530163405012 and JCYJ20200109144201725). Conflict of interest statement. None declared. ==== Refs REFERENCES 1. Jian F , YuY, SongWet al. Lancet Infect Dis 2022; 22 : 1535–7.10.1016/S1473-3099(22)00642-9 36179744 2. 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