Evidence map›Paper›PMID 41010451›Full record

ReviewNutrients2025

The Microecological-Immune Axis in Pediatric Allergic Diseases: Imbalance Mechanisms and Regulatory Interventions.

Ziyi Jiang, Jie Zhu, Zhicheng Shen, Linglin Gao, Zihan Chen, Li Zhang, Qiang Wang

Abstract readReview
In one paragraph

Review in Nutrients, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
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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

7 authors.

Ziyi JiangInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Jie ZhuInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Zhicheng ShenInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Linglin GaoInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Zihan ChenInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Li ZhangInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.
Qiang WangInstitute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China.ORCID 0000-0001-7420-8646

Funding

Wuhan Wuchang Hospital Scientific Research and Innovation Fund Key Projects WCYY2022K02Wuhan Yaxin General Hospital Scientific Research and Innovation Fund Key Projects (2025KYCX1-A04
6 · The paper itself

Abstract

In recent years, the global prevalence of pediatric allergic diseases-including atopic dermatitis, allergic rhinitis, and asthma-has increased significantly. Accumulating evidence underscores the pivotal role of the microbiota-immune axis in the regulation of immune tolerance, wherein microbial dysbiosis is a critical driver in the onset and progression of these conditions. Notably, reduced microbial diversity and imbalanced proportions can also cause immune dysregulation and cross-organ signaling. The skin-lung-gut axis has emerged as a key conduit for multi-organ immune communication. Microbial communities at barrier sites not only mediate local immune homeostasis but also influence distant organs through metabolite production and immune signaling pathways, forming a complex network of organ crosstalk. This mechanism is integral to the maintenance of both innate (e.g., epithelial barrier integrity and phagocytic activity) and adaptive (e.g., the Type 1/Type 2 cytokine balance and regulatory T cell function) immunity, thereby suppressing allergic inflammation. Early microbial colonization is crucial for immune system maturation, and its perturbation is strongly linked to abnormal allergic immune responses. As such, the skin-lung-gut axis functions as a cross-organ microecological-immune regulatory network that is particularly relevant in the context of infantile allergic disorders. Intervention strategies targeting the microbiota-including probiotics, prebiotics, synbiotics, and postbiotics-have demonstrated potential in modulating host immunity. Furthermore, emerging approaches such as engineered probiotics, advanced delivery systems, and fecal microbiota transplantation (FMT) offer promising therapeutic avenues. This review provides a comprehensive overview of microbiota development in early life, its association with allergic disease pathogenesis, and the current progress in microbiota-targeted interventions, offering a theoretical foundation for individualized prevention and treatment strategies.

Indexed as

DysbiosisGastrointestinal MicrobiomeHypersensitivityMicrobiotaAsthmaChildHumansLungPrebioticsProbioticsSkinPrebioticsallergic diseaseschildrenmicrobiota-immune crosstalkmicrobiota modulatorsskin–lung–gut axis

Identifiers

PMID41010451
PMCPMC12472567

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.