Evidence map›Paper›PMID 42291325›Full record

SynthesisFrontiers in cellular and infection microbiology2026

Profiling of human lung and gut microbiomes in different conditions of chronic obstructive pulmonary disease using ontology-based evidence synthesis and reasoning.

Yang Wang, Zeyi Huang, Jie Zheng, Ou Xu, Hong Yu, Xianwei Ye, Yongqun He

Abstract readSystematic Review
In one paragraph

Synthesis in Frontiers in cellular and infection microbiology, 2026. 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

7 authors.

Yang WangSchool of Medicine, Guizhou University, Guiyang, Guizhou, China.
Zeyi HuangCollege of Literature, Science, and the Arts, University of Michigan, Ann Arbor, MI, United States.
Jie ZhengUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.
Ou XuPulmonary Vascular and General Medicine Ward, Fuwai Yunnan Cardiovascular Hospital, Kunming, Yunnan, China.
Hong YuSchool of Medicine, Guizhou University, Guiyang, Guizhou, China.
Xianwei YeSchool of Medicine, Guizhou University, Guiyang, Guizhou, China.
Yongqun HeUnit for Laboratory Animal Medicine, University of Michigan Medical School, Ann Arbor, MI, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic Obstructive Pulmonary Disease (COPD) remains one of the leading global causes of morbidity and mortality, with increasing evidence highlighting microbial dysbiosis as a key factor in disease progression and exacerbation. To resolve the inherent heterogeneity in COPD microbiome research, we developed a standardized pipeline termed as Ontology-based Evidence Synthesis and Reasoning (O-ESR), utilizing the Ontology of Host-Microbiome Interactions (OHMI) framework. Our analysis included over 30 studies and identified more than 100 significantly altered bacterial taxa in the human airway and gut microbiomes of human COPD patients across three clinical conditions: COPD versus healthy controls, exacerbation versus stable states, and severe versus moderate diseases. Profiling across taxonomic levels revealed a marked airway expansion of pathogenic genera, including

Indexed as

BacteriaGastrointestinal MicrobiomeLungMicrobiotaPulmonary Disease, Chronic ObstructiveDysbiosisHost Microbial InteractionsHumansCOPDevidence synthesisgut-lung axismicrobiome & dysbiosisontologyontology-based reasoningPrevotellaProteobacteria

Identifiers

PMID42291325
PMCPMC13259719

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.