Evidence map›Paper›PMID 41081494›Full record

ArticleJournal of medical virology2025

Kinetics of IgA Subtypes and Cytokines in Respiratory Secretions Following Immunization With COVID-19 Mucosal Vaccine.

Weixin Chen, Juan Li, Shuang Bai, Ao Zhang, Qun Zheng, Junnan Zhang, Wenwen Lan, Yihan Zhang, Wei Yao, Wei Zhao and 1 more

Abstract read
In one paragraph

Article in Journal of medical virology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Weixin ChenBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Juan LiBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Shuang BaiBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Ao ZhangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Qun ZhengExperimental Center for Basic Medical Teaching, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Junnan ZhangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Wenwen LanBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Yihan ZhangBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Wei YaoBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.
Wei ZhaoBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.ORCID 0000-0003-3593-1668
Jiang WuBeijing Key Laboratory of Surveillance, Early Warning and Pathogen Research on Emerging Infectious Diseases, Beijing Research Center for Respiratory Infectious Diseases, Beijing Center for Disease Prevention and Control, Beijing, China.ORCID 0000-0002-8505-4723

Funding

This study was supported by Beijing Municipal Science and Technology Commission.
6 · The paper itself

Abstract

The COVID-19 pandemic highlights the need for mucosal vaccines inducing respiratory secretory IgA (sIgA), as traditional intramuscular vaccines primarily elicit systemic IgG with limited mucosal protection. This study systematically compared mucosal immune responses induced by two authorized COVID-19 mucosal vaccines: an orally aerosolized adenovirus vector-based vaccine (Ad5-nCoV) and an intranasal live-attenuated influenza virus vector-based vaccine (dNS1-RBD). We longitudinally assessed IgA, IgA1, and IgA2 antibody titers against SARS-CoV-2 RBD/Spike protein, alongside cytokine profiles, in nasal secretions and sputum from 40 participants at 7, 14, 28 days, and 3/6 months post-immunization. The orally aerosolized vaccine exhibited superior mucosal immunogenicity, with peak IgA positive conversion rate of 50% (nasal) and 65% (sputum) vs. 30% (nasal) and 40% (sputum) for the intranasal vaccine. Notably, the orally aerosolized vaccine induced sustained IgA2 dominance (> 50%) in sputum at 6 months, whereas the intranasal vaccine showed transient IgA1 predominance followed by decline. Despite these differences, both vaccines elicited modest overall mucosal responses, with only IL-6 showing significant intergroup variation (p < 0.01). This is a study to demonstrate compartmentalized IgA subclass dynamics between upper (nasal) and lower (sputum) respiratory tracts following mucosal vaccination. Our findings highlight the need for optimized mucosal vaccine formulations to enhance respiratory immunity, providing critical insights for developing next-generation COVID-19 vaccines targeting the complex mucosal immune microenvironment.

Indexed as

COVID-19COVID-19 VaccinesCytokinesImmunoglobulin AImmunoglobulin A, SecretoryAdministration, IntranasalAdministration, OralAdultAntibodies, ViralFemaleHumansImmunity, MucosalLongitudinal StudiesMaleMiddle AgedSARS-CoV-2Antibodies, ViralCOVID-19 VaccinesCytokinesImmunoglobulin AImmunoglobulin A, SecretorySpike Glycoprotein, CoronavirusCOVID‐19 mucosal vaccinecytokine profiling IgA subclass kineticsrespiratory mucosal immunity

Identifiers

PMID41081494
PMCPMC12517115

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.