Evidence map›Paper›PMID 42597975›Full record

ReviewFrontiers in pediatrics2026

Early-life microbiota exposure and prevention of childhood asthma: immunological mechanisms and intervention perspectives.

Yan Wang, Jinyan Yu, Ying Wang, Yanlei Li

Abstract readReview
In one paragraph

Review in Frontiers in pediatrics, 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

4 authors.

Yan WangDepartment of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, China.
Jinyan YuDepartment of Respiratory and Critical Care Medicine, The Second Hospital of Jilin University, Changchun, China.
Ying WangDepartment of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, China.
Yanlei LiDepartment of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is one of the most prevalent chronic diseases among children, affecting approximately one in ten globally. Preventing asthma in the early life benefits individuals both during childhood and into adulthood. During the critical prenatal period, exposure to diverse maternal microbiota may enhance immune tolerance in fetal and neonatal stages. This exposure can train the immunity of innate immune cells through functional reprogramming of epigenetic mechanisms, potentially altering susceptibility to allergic diseases like asthma. Additionally, microbiota transmission during childbirth, close maternal-child contact, and breastfeeding influence offspring immunity. Furthermore, childhood exposure to a microbiota-rich environment, a diverse gut microbiota, and reduced viral infections are crucial for preventing asthma in children. Early-life exposure to diverse microbiota influences host cells via bacterial metabolites, soluble immune effectors, and other mediators, thereby shaping immune development. These microbial signals activate specific immune pathways and foster tolerance, changes that have been linked to a lower risk of allergic disease. Most evidence to date derives from observational human studies and animal models; consequently, mechanisms remain incompletely defined and standardized intervention strategies are lacking. Longitudinal human cohorts are therefore needed to delineate microbiota-host interaction mechanisms and to enable individualized, precision-based prevention of childhood asthma.

Indexed as

asthma preventionchildhood asthmagut microbiotamaternalmicrobiotatraining immunity

Identifiers

PMID42597975
PMCPMC13470108

What OpenQuestion 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 OpenQuestion graph.