Evidence map›Paper›PMID 40626314›Full record

ArticleInternational journal of chronic obstructive pulmonary disease2025

CD27 on IgD-CD38-B Cells Mediates the Coprococcus-COPD Link.

Yaning Gao, Liang Chen, Jianhong Zhang, Zhengjun Wen

Abstract read
In one paragraph

Article in International journal of chronic obstructive pulmonary disease, 2025. 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

4 authors.

Yaning GaoRespiratory and Critical Care Medicine Department, Beijing Jingmei Group General Hospital, Beijing, People's Republic of China.
Liang ChenRespiratory and Critical Care Medicine Department, Beijing Jingmei Group General Hospital, Beijing, People's Republic of China.
Jianhong ZhangRespiratory and Critical Care Medicine Department, Beijing Jingmei Group General Hospital, Beijing, People's Republic of China.
Zhengjun WenRespiratory and Critical Care Medicine Department, Beijing Jingmei Group General Hospital, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The gut-lung axis, representing the communication between gut microbiota and the lungs, has been hypothesized to influence chronic obstructive pulmonary disease (COPD) development through modulation of the immune response. However, the causal role of gut microbiota in COPD and the potential mediating role of immune cells remain largely undetermined. This study aimed to uncover the causal relationship between gut microbiota and COPD and explore the potential mediating role of immune cells in this connection. Methods: This study employed a two-step Mendelian randomization (MR) analysis to investigate the causal effect of gut microbiota on COPD and explore the potential mediating role of immune cells in this relationship. The inverse variance weighted method served as the primary MR analysis method. Results: MR analyses revealed statistically significant genetic associations between 28 gut microbiota and COPD. Among these, the genus Conclusion: Our MR analysis provided evidence for a causal association between gut microbiota and COPD, potentially mediated by immune cells.

Indexed as

ADP-ribosyl Cyclase 1B-LymphocytesGastrointestinal MicrobiomeImmunoglobulin DMembrane GlycoproteinsPulmonary Disease, Chronic ObstructiveGenetic Predisposition to DiseaseHumansLungMaleMendelian Randomization AnalysisRisk FactorsADP-ribosyl Cyclase 1CD38 protein, humanImmunoglobulin DMembrane Glycoproteinschronic obstructive pulmonary diseasegut-lung axisgut microbiotaimmune cellsMendelian randomization

Identifiers

PMID40626314
PMCPMC12232946

What Socratic holds

Textmetadata
LicenceCC BY-NC
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.