Evidence map›Paper›PMID 41346406›Full record

ArticlePulmonary circulation2025

Identification of Diagnostic Biomarkers Causally Associated With Gut Microbiota and Pulmonary Arterial Hypertension.

Ming Sun, Song Wu

Abstract read
In one paragraph

Article in Pulmonary circulation, 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. Article
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.

Ming SunDepartment of Respiratory and Critical Care Medicine Tianjin University Chest Hospital Tianjin China.ORCID https://orcid.org/0009-0000-1013-8378
Song WuDepartment of Respiratory and Critical Care Medicine Tianjin University Chest Hospital Tianjin China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial hypertension (PAH) is a pulmonary disease associated with alterations in gut microbiota. We aimed to identify potential diagnostic genes causally associated with gut microbiota and PAH. Mendelian randomization (MR) was performed to screen gut microbiota causally associated with PAH and to identify gut microbiota-related genes. A regulatory network was constructed to reveal the relationships among genes, gut microbiota and PAH. Diagnostic genes were screened and used to construct a diagnostic model for PAH. Characteristics of immune infiltration and diagnostic gene expression in each cell type were evaluated at the transcriptome and single-cell levels. Family. Porphyromonadaceae and genus. Eubacteriumfissicatena were risk factors for PAH, whereas phylum. Actinobacteria, class. Bacilli, genus. Erysipelatoclostridium, and genus. Ruminococcaceae were protective factors for PAH. The gene-gut microbiota-PAH network showed causal associations among six gut microbiota taxa, 13 PAH-associated genes and PAH. Copper metabolism MURR1 domain (COMMD) containing 10 (COMMD10), FES proto-oncogene, tyrosine kinase (FES), nuclear casein kinase and cyclin-dependent kinase substrate 1 (NUCKS1), solute carrier family 22 member 4 (SLC22A4), and synaptogyrin 1 (SYNGR1) were identified as diagnostic genes, with Area Under Curve (AUC) values ranging from 0.79 to 0.99. The abundances of activated B cells, activated CD8 T cells, eosinophils, mast cells, and T helper cells were increased, whereas the abundances of activated dendritic cells (DCs), gamma delta T cells, MDSCs, macrophages, neutrophils, plasmacytoid DCs, and regulatory T cells were decreased in PAH. NUCKS1 was expressed in each cell type and was lower in T/NK and NK cells. The study deepens the understanding of PAH pathogenesis, and may provide diagnostic targets for PAH.

Indexed as

COMMD10FESgut microbiotamendelian randomizationpulmonary arterial hypertension

Identifiers

PMID41346406
PMCPMC12673163

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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.