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B cell receptor signatures associated with strong and poor SARS-CoV-2 vaccine responses

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Taylor & Francis Group2025-05-12 更新2026-04-16 收录
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https://tandf.figshare.com/articles/dataset/B_cell_Receptor_Signatures_Associating_with_Strong_and_Poor_SARS-CoV-2_Vaccine_Response/18743686/2
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资源简介:
Breakthrough infection of SARS-CoV-2 is a serious challenge, as increased infections were documented in fully-vaccinated individuals. Recipients with poor antibody response are highly vulnerable to reinfection, whereas those with strong antibody responses achieve sterilizing immunity. Thus far, biomarkers associated with levels of vaccine-elicited antibody response are still lacking. Here, we studied the antibody response of age- and gender-controlled healthy cohort, who received inactivated SARS-CoV-2 vaccines and profiled the B cell receptor repertoires in longitudinally consecutive samples. Upon vaccination, all vaccinated individuals displayed a convergent antibody response with shared common antibody clones and public neutralizing antibodies. Strikingly, poor vaccine-responders are distinguishable from strong vaccine-responders by a biased V-usage before vaccination and IgG to IgM mRNA ratio. These findings reveal molecular signatures associated with the different levels of vaccine-induced antibody response, which could be further developed into biomarkers for the design of vaccination strategies.

严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)的突破性感染是一项严峻挑战,已有研究证实完全接种疫苗的人群中感染病例有所增加。抗体应答不佳的接种者极易发生再次感染,而抗体应答较强的接种者则可获得清除性免疫(sterilizing immunity)。截至目前,仍缺乏与疫苗诱导抗体应答水平相关的生物标志物。本研究针对接种了灭活严重急性呼吸综合征冠状病毒2型疫苗的、年龄与性别匹配的健康队列,分析其抗体应答情况,并对纵向连续采集的样本中的B细胞受体(B cell receptor, BCR)库进行了特征解析。接种疫苗后,所有接种个体均呈现出趋同的抗体应答模式,存在共有抗体克隆与公共中和抗体。值得注意的是,接种前的V基因取用偏倚与IgG与IgM的mRNA比值,可用于区分弱应答与强应答疫苗接种者。本研究揭示了与疫苗诱导抗体应答水平差异相关的分子特征,这些特征可进一步开发为用于优化疫苗接种策略设计的生物标志物。
提供机构:
Xia, Jia; Wang, Hongyu; Zhang, Senxin; Meng, Fei-Long; Gu, Ye; Liu, Tingting; Li, Qiang; Zhang, Haocheng; Wang, Yan O.; Li, Dan; Wang, Yan A.; Yin, Yanan; Zhang, Wenhong; Gao, Bo; Fu, Zhangfan; Xu, Yingjie; Guo, Jingxin; Zhou, Yawen; Song, Shusen; Lian, Chaoyang; Yeap, Leng-Siew; Zhang, Yi; Ai, Jingwen; Qiu, Chao; Liu, Hongyan; Jiang, Ning; Wu, Jing; Lin, Ke; Zheng, Xiaoqi
创建时间:
2022-02-04
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