Refined phenotyping of vaccine responses reveals transcriptomic determinants of neutralizing antibody heterogeneity

Individuals exhibit considerable heterogeneity in vaccine-induced antibody responses, yet commonly used binary classifications may overlook intermediate patterns. More nuanced grouping could better capture inter-individual differences. Here, we analyzed longitudinal neutralizing antibody (NAb) trajectories in 73 adults after inactivated SARS-CoV-2 vaccination. Unsupervised analysis identified three phenotypes: Low-Delayed Responders (LR), with a modest, delayed NAb rise to day 30; Rapid-Stabilizing Responders (RS), peaking at day 7 and plateauing thereafter; and Continuous Increase Responders (CI), exhibiting sustained increases. Between days 0 and 7, these groups diverged in immune activation: LR showed limited pathway activation or cell shifts; RS exhibited early innate activation with reduced dendritic cells; CI mounted innate and adaptive responses with increased naive B cells. These differences culminated at day 7, when CI exhibited enhanced antigen presentation and Th1-related pathways, accompanied by higher IFN-γ and IL-2 T cell responses. CI also showed post-transcriptional regulation of innate signaling, including HLA-F/H splicing, 3'UTR shortening in IKBKE and HRAS, and biased IGHV4-59-IGHJ4 usage. Finally, we developed a baseline gene model accurately predicting LR individuals. Our work refines responder classification and provides molecular insights into antibody heterogeneity, laying groundwork for early stratification and personalized vaccination.

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Publication Details

Journal
npj Vaccines
Published
2026-01-30
DOI
https://doi.org/10.1038/s41541-026-01386-z
Primary Topic
vaccines and immunoinformatics approaches
Type
article
Field-Weighted Citation Impact
0.00

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article

Refined phenotyping of vaccine responses reveals transcriptomic determinants of neutralizing antibody heterogeneity

Chunmei Li, Xupu Ma, Huajie Hu, Qin Liu et al.
npj Vaccines
vaccines and immunoinformatics approaches
article

Refined phenotyping of vaccine responses reveals transcriptomic determinants of neutralizing antibody heterogeneity

Chunmei Li, Xupu Ma, Huajie Hu, Qin Liu, Bohao Chen, Xuerong Pan, Z J Zhang, Lei Xing, Qingqin Wu, Rui Cheng, Mei Yang, Xuan Li
article en

Abstract

Individuals exhibit considerable heterogeneity in vaccine-induced antibody responses, yet commonly used binary classifications may overlook intermediate patterns. More nuanced grouping could better capture inter-individual differences. Here, we analyzed longitudinal neutralizing antibody (NAb) trajectories in 73 adults after inactivated SARS-CoV-2 vaccination. Unsupervised analysis identified three phenotypes: Low-Delayed Responders (LR), with a modest, delayed NAb rise to day 30; Rapid-Stabilizing Responders (RS), peaking at day 7 and plateauing thereafter; and Continuous Increase Responders (CI), exhibiting sustained increases. Between days 0 and 7, these groups diverged in immune activation: LR showed limited pathway activation or cell shifts; RS exhibited early innate activation with reduced dendritic cells; CI mounted innate and adaptive responses with increased naive B cells. These differences culminated at day 7, when CI exhibited enhanced antigen presentation and Th1-related pathways, accompanied by higher IFN-γ and IL-2 T cell responses. CI also showed post-transcriptional regulation of innate signaling, including HLA-F/H splicing, 3'UTR shortening in IKBKE and HRAS, and biased IGHV4-59-IGHJ4 usage. Finally, we developed a baseline gene model accurately predicting LR individuals. Our work refines responder classification and provides molecular insights into antibody heterogeneity, laying groundwork for early stratification and personalized vaccination.

npj VaccinesVol. 11(1)
Southwest University (CN), Yunnan University (CN), Yunnan Agricultural University (CN), Yunnan Machinery Research and Design Institute (CN)
National Natural Science Foundation of China, Yunnan University, National Key Research and Development Program of China
Good health and well-being
Openalex Percentile: Top 72%
vaccines and immunoinformatics approaches
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