Evidence map›Paper›PMID 39894858›Full record

ArticleSignal transduction and targeted therapy2025

Neutralizing antibody responses to three XBB protein vaccines in older adults.

Guo-Jian Yang, Mei Lu, Rui-Rui Chen, Shuang-Qing Wang, Sheng Wan, Xue-Dong Song, Guo-Ping Cao, Lei Lv, Xue-Juan He, Bing-Dong Zhan and 1 more

Abstract read
In one paragraph

Article in Signal transduction and targeted therapy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

11 authors.

Guo-Jian Yang *Department of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China.ORCID 0009-0004-2699-0652
Mei Lu *Kaihua Center for Disease Control and Prevention, Quzhou, 324300, China.
Rui-Rui Chen *State Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Shuang-Qing Wang *Department of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, China.
Sheng WanDepartment of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, China.
Xue-Dong SongState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Guo-Ping CaoDepartment of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, China.
Lei LvDepartment of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, China.
Xue-Juan HeState Key Laboratory of Pathogen and Biosecurity, Academy of Military Medical Sciences, Beijing, 100071, China.
Bing-Dong ZhanDepartment of Infectious Disease Control and Prevention, Quzhou Center for Disease Control and Prevention, Quzhou, 324000, China. bd_zhan@126.com.ORCID 0000-0003-3916-1306
Mai-Juan MaDepartment of Microbiological Laboratory Technology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, 250012, China. mjma@163.com.ORCID 0000-0002-8105-462X

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82273692National Natural Science Foundation of China (National Science Foundation of China) 92169207
6 · The paper itself

Abstract

The ongoing COVID-19 pandemic has underscored the importance of strong immune defenses against emerging SARS-CoV-2 variants. While COVID-19 vaccines containing XBB subvariants have proven effective in neutralizing new SARS-CoV-2 variants, a gap remains in knowledge regarding neutralizing antibody responses in older adults aged >65 years against these newly emerged variants. This study was therefore undertaken to investigate and compare neutralizing antibody responses to three XBB-containing protein-based vaccines (trivalent XBB.1.5 vaccine, bivalent Omicron XBB vaccine, and tetravalent XBB.1 vaccine) head-to-head in 90 individuals aged >65 years. The results showed that all three XBB-containing vaccines substantially enhanced the neutralizing antibody response, with 100% of vaccinees having detectable antibody titers against ancestral D614G and variants BA.5, XBB.1.5, JN.1, KP.2, and KP.3 after booster immunization. Subsequent analysis indicated that the trivalent XBB.1.5 and tetravalent XBB.1 vaccines elicited higher levels of neutralizing antibodies compared to the bivalent Omicron XBB vaccine. The KP.2 and KP.3 variants displayed antibody resistance comparable to the JN.1 variant. Older adults produce similar neutralizing antibody responses to the vaccines regardless of their underlying medical conditions. These findings indicate that booster vaccination with XBB-containing vaccines can effectively elicit strong neutralizing responses against a number of SARS-CoV-2 variants in older adults over 65 years, which will help guide vaccine strategies in this elderly population.

Indexed as

Antibodies, NeutralizingAntibodies, ViralCOVID-19COVID-19 VaccinesSARS-CoV-2AgedAged, 80 and overFemaleHumansMaleAntibodies, NeutralizingAntibodies, ViralCOVID-19 Vaccines

Identifiers

PMID39894858
PMCPMC11788433

What OpenQuestion holds

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LicenceCC BY
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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.