Evidence map›Paper›PMID 41229685›Full record

ReviewFrontiers in microbiology2025

The gut-lung axis in asthma: microbiota-driven mechanisms and therapeutic perspectives.

Zihan Yang, Wei Mao, Junyang Wang, Leyi Yin

Abstract readReview
In one paragraph

Review in Frontiers in microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
–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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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

4 authors.

Zihan Yang *Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University (Huzhou Hospital of Traditional Chinese Medicine), Huzhou, China.
Wei Mao *Huzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University (Huzhou Hospital of Traditional Chinese Medicine), Huzhou, China.
Junyang WangHuzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University (Huzhou Hospital of Traditional Chinese Medicine), Huzhou, China.
Leyi YinHuzhou Traditional Chinese Medicine Hospital Affiliated to Zhejiang Chinese Medical University (Huzhou Hospital of Traditional Chinese Medicine), Huzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Asthma is a multifactorial inflammatory airway disease shaped by complex interactions among host genetics, environmental exposures, and the microbiota. The human body hosts a highly diverse microbial ecosystem, comprising more than 10,000 species that profoundly influence host physiology through the regulation of nutrient metabolism and immune homeostasis. Disruption of this balance, or dysbiosis, contributes to the onset and progression of immune-mediated diseases, including asthma. Asthma is a multifactorial disorder driven by the complex interaction of genetic susceptibility and environmental exposures, and its heterogeneous phenotypes and severity are increasingly associated with alterations in the microbiota. In particular, the gut-lung axis represents a critical bidirectional pathway through which microbial communities and their metabolites in the gut and airways shape immune responses and respiratory health. This review summarizes current evidence on microbiota-driven mechanisms underlying asthma pathogenesis, highlights the role of the gut-lung axis in immune regulation, and discusses emerging microbiota-targeted therapeutic strategies, emphasizing their potential for clinical translation in asthma treatment.

Indexed as

asthmagut-lung axisgut microbiotaimmunomodulationprobiotics

Identifiers

PMID41229685
PMCPMC12604603

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.