Evidence map›Paper›PMID 42069915›Full record

ArticleScientific reports2026

Surrogate virus neutralization test as a scalable and reliable tool for immune surveillance in booster-vaccinated populations.

Lin Cai, Zhaoyang Fang, Renyun Zha, Zhifeng Zhou, Ruiyin Zhang, Xueyun Li, Cheng Guo, Conghui Liao

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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

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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

8 authors.

Lin Cai *Shenzhen Futian District Center for Disease Control and Prevention, Shenzhen, 518040, China.
Zhaoyang Fang *School of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
Renyun ZhaSchool of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China.
Zhifeng ZhouShenzhen Futian District Center for Disease Control and Prevention, Shenzhen, 518040, China.
Ruiyin ZhangShenzhen Futian District Center for Disease Control and Prevention, Shenzhen, 518040, China.
Xueyun LiShenzhen Futian District Center for Disease Control and Prevention, Shenzhen, 518040, China. ftcdcmy@163.com.
Cheng GuoSchool of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China. guoch36@mail.sysu.edu.cn.
Conghui LiaoSchool of Public Health, Sun Yat-Sen University, Guangzhou, 510080, China. liaoch9@mail.sysu.edu.cn.

Funding

the Guangdong Basic and Applied Basic Research Foundation 2023A1515010183the Natural Science Foundation of Shenzhen JCYJ20230807152759003the Research Project of Futian District Health System FTWS2023076the Startup Fund for Young Researchers of Sun Yat-sen University 51000-12255003
6 · The paper itself

Abstract

With waning vaccine-induced immunity and the continued emergence of immune-evasive SARS-CoV-2 variants, booster vaccination has become essential for sustaining population-level protection. However, scalable and reliable serological tools for monitoring post-booster humoral immunity across different vaccine platforms remain insufficiently evaluated. We conducted a cross-sectional study and a booster cohort study to systematically compare the performance and concordance of surrogate virus neutralization test (sVNT), pseudovirus neutralization test (pVNT), and binding IgG antibody assays. In the cross-sectional analysis, serum samples from 259 individuals collected 1-2 months after a third dose of inactivated vaccine were used to compare sVNT and pVNT. In the booster cohort, paired sera from 288 participants receiving a fourth dose with different vaccine platforms were analyzed to evaluate the relationship between sVNT and IgG responses. Correlation and agreement were assessed using Spearman correlation and Bland-Altman analyses. In the cross-sectional study, sVNT showed strong concordance with pVNT, demonstrated by a very high correlation (r = 0.97) and good agreement in Bland-Altman analysis. In the booster cohort study, IgG antibody levels correlated strongly with sVNT overall (r = 0.91). The correlation strength remained highly consistent across different vaccine platforms, with no statistically significant differences observed. Collectively, these findings demonstrate that sVNT closely reflects functional neutralizing activity, supporting its utility for large-scale immune monitoring. sVNT offers an optimal balance of analytical performance and scalability for high-throughput monitoring without requiring cell-based assays. Consequently, we propose a tiered immune monitoring strategy: utilizing sVNT for broad population-level surveillance and reserving pVNT for targeted, precise functional assessment.

Indexed as

COVID-19COVID-19 VaccinesImmunization, SecondaryImmunologic SurveillanceNeutralization TestsSARS-CoV-2AdultAntibodies, NeutralizingAntibodies, ViralCross-Sectional StudiesFemaleHumansImmunoglobulin GMaleMiddle AgedAntibodies, NeutralizingAntibodies, ViralCOVID-19 VaccinesImmunoglobulin GBooster vaccinationHumoral immunityImmune monitoringPseudovirus neutralization testSurrogate virus neutralization test

Identifiers

PMID42069915
PMCPMC13328727

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.