Evidence map›Paper›PMID 42108295›Full record

ReviewMethods in molecular biology (Clifton, N.J.)2026

Omics Approaches to Unraveling the Complexity of the Gut-Lung Axis.

Bichen Peng, Xiao Chang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Methods in molecular biology (Clifton, N.J.), 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

2 authors.

Bichen PengCollege of Medical Information and Artificial Intelligence, Shandong First Medical University, Jinan, China.
Xiao ChangCollege of Medical Information and Artificial Intelligence, Shandong First Medical University, Jinan, China. changxiao@sdfmu.edu.cn.ORCID https://orcid.org/0000-0002-0230-0416

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complex, bidirectional communication between the gut and the lungs, known as the "gut-lung axis," profoundly influences host immune homeostasis and the pathogenesis of respiratory diseases. In recent years, multi-omics approaches, including metagenomics, metabolomics, and metatranscriptomics, have emerged as the core driving force for unraveling the complexity of this interorgan cross talk network. This review aims to systematically summarize the current omics-based evidence in the field of the gut-lung axis. We highlight key communication mechanisms discovered through multi-omics integration, particularly how gut microbiota-derived metabolites, exemplified by short-chain fatty acids (SCFAs), mediate distal immune regulation. Concurrently, we consolidate omics evidence from the contexts of respiratory infectious diseases, chronic lung disorders, and aging, systematically delineating the impact of gut dysbiosis on pulmonary pathophysiology via the gut-lung axis and emphasizing the feasibility of disease management in patients with lung diseases by modulating the gut microbiota. Although omics technologies have significantly advanced our understanding of this field, the challenge of effectively integrating vast, heterogeneous data and transitioning from "correlation" to "causation" remains a primary hurdle. By reviewing and discussing the current omics evidence in the gut-lung axis, this paper aims to provide new perspectives for future mechanistic explorations and clinical translation strategies.

Indexed as

Gastrointestinal MicrobiomeLungLung DiseasesAnimalsDysbiosisHumansMetabolomicsMetagenomicsMultiomicsGut-lung axisLung diseaseMicrobiomeOmicsSCFAs

Identifiers

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.