Evidence mapPaperPMID 41617721Full record

ArticleNPJ vaccines2026

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

Qingqin Wu, Huajie Hu, Liuyu Qin, Xupu Ma, Bohao Chen, Xuan Li, Yanli Chen, Lei Xing, Mei Yang, Chunmei Li and 3 more

Abstract read
In one paragraph

Article in NPJ vaccines, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Qingqin Wu *Bio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Huajie Hu *Bio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Liuyu Qin *Bio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Xupu Ma *Bio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Bohao ChenBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Xuan LiBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Yanli ChenBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Lei XingBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Mei YangBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Chunmei LiBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China.
Zijie Scott ZhangBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China. zijiezhang@ynu.edu.cn.
Xuerong PanBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China. xuerong_pan@ynu.edu.cn.
Rui ChengBio-X Center for Interdisciplinary Innovation, Yunnan University, Kunming, Yunnan, China. ruicheng@ynu.edu.cn.

Funding

Independent Research Initiative of Yunnan Vaccine Laboratory YNVL2025ZY010Independent Research Initiative of Yunnan Vaccine Laboratory YNVL2025ZY011National Key Research and Development Program of China 2023YFC2307600National Natural Science Foundation of China 32371000R&D Program of Guangzhou National Laboratory GZNL2024A01001The High-level Talent Promotion and Training Project of Kunming 2022SCP001
6 · The paper itself

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.

Identifiers

PMID41617721
PMCPMC12960720

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.