Evidence map›Paper›PMID 40612386›Full record

ArticlePathogens & immunity2025

Mucosal IgA Antibodies are Critical for Bacterial Clearance of

Gaurav Chauhan, Melissa A Gawron, Aaron J Belli, Keith A Reimann, Ryan Schneider, Yang Wang, Mark S Klempner, Lisa A Cavacini

Abstract read
In one paragraph

Article in Pathogens & immunity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Gaurav ChauhanDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Melissa A GawronDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Aaron J BelliDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Keith A ReimannDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Ryan SchneiderDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Yang WangDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Mark S KlempnerDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.
Lisa A CavaciniDepartment of Medicine, University of Massachusetts Chan Medical School, Worcester, Massachusetts.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the control of Methods: Experimental pertussis infection of baboons induces an acute respiratory illness with clinical and laboratory features similar to whooping cough in man. In a previous study, acellular pertussis-vaccinated (aP) baboons were protected from clinical illness but not from prolonged airway colonization. In contrast, convalescent baboons are protected from both clinical illness and colonization. These studies suggest that current aP vaccines may be ineffective at preventing airway colonization, contributing to resurgence of pertussis. Results: In studies conducted at the University of Massachusetts Chan Medical School in Worcester, Massachusetts, mucosal IgG antibody responses in nasopharyngeal washes are similar in convalescent and vaccinated baboons. However, significantly higher mucosal anti-pertussis immunoglobulin A (IgA) responses are observed in convalescent animals. Conclusions: These studies suggest that mucosal IgA responses to some pertussis antigens will result in bacterial clearance.

Indexed as

Bordetella pertussisMucosal IgAWhooping Cough

Identifiers

PMID40612386
PMCPMC12225615

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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.