Evidence mapPaperPMID 41559166Full record

ArticleScientific reports2026

Host m

Jingjing Zhang, Xue Liu, Xiaoming Liu, Liqun Zhao, Junjie Bi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Cell-Type-Specific WTAP and ALKBH5-Mediated mCNS neuroscience & therapeutics · 2026
    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

5 authors.

Jingjing Zhang *Qilu Aerospace Information Research Institute, Jinan, 250102, China.ORCID http://orcid.org/0009-0008-9530-5072
Xue Liu *Department of Respiratory Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China.
Xiaoming Liu *Geriatric Medicine Center, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China.
Liqun Zhao *Geriatric Medicine Center, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China.
Junjie Bi *Geriatric Medicine Center, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250011, China. 71002180@sdutcm.edu.cn.ORCID http://orcid.org/0000-0002-7298-6476

Funding

e Joint Science and Technology Project of the State Administration of Traditional Chinese Medicine GZY-KJS-SD-2023-045National Natural Science Foundation of China 82004285,82505486Shandong Provincial Traditional Chinese Medicine Science and Technology Project No. M20241811
6 · The paper itself

Abstract

Globally, chronic respiratory diseases (CRDs) are leading causes of mortality, morbidity, and disability-adjusted life years (DALYs), imposing substantial economic and societal burdens. Uncovering the pathogenic mechanisms underlying CRDs is therefore crucial. While prior studies have implicated gut and skin microbiota in CRD development, the extent of their influence remains inconsistent. The exact causal links between these microbial communities and CRDs are yet to be fully elucidated, and the roles of N6-methyladenosine (m⁶A) modifications and ferroptosis in these links remain poorly understood. To investigate how gut and skin microbiota, m⁶A modifications, and ferroptosis collectively influence CRDs, we used summary-level data from genome-wide association studies (GWAS). We studied five CRDs: chronic obstructive pulmonary disease (COPD), asthma, interstitial lung disease (ILD), pneumoconiosis, and pulmonary arterial hypertension (PAH). Using Mendelian randomization (MR) methods, we examined causal relationships between these factors. Furthermore, we explored the potential mediating effects of microbiota in the m⁶A-CRDs pathway and of ferroptosis in the microbiota-CRDs pathway. To identify genes underlying these molecular layers, we confirmed significant differential expression of m⁶A and ferroptosis-related candidates between disease and control tissues, then applied immune single-cell eQTL data from 14 distinct cell types to dissect how these genes modulate disease risk in individual immune cells. Our comprehensive analysis showed associations between gut and skin microbiota and CRDs. Importantly, we identified that METTL14-mediated m⁶A modification influences ILD through the gut microbiota, and that NDRG1-mediated ferroptosis plays a significant role in the progression from gut microbiota dysbiosis to COPD. Both genes were differentially expressed between disease and control tissues, and single-cell eQTL mapping localized NDRG1 exclusively to Monocyte FCGR3A + cells. Our findings provide preliminary genetic evidence of potential causal links between gut and skin microbiota and CRDs, with m⁶A modifications and cell-type-specific ferroptosis contributing to regulatory mechanisms in these pathways.

Indexed as

AdenosineFerroptosisMicrobiotaRespiratory Tract DiseasesChronic DiseaseEpitranscriptomeGastrointestinal MicrobiomeGenome-Wide Association StudyHumansRNA MethylationSkin MicrobiomeAdenosineN-methyladenosineChronic respiratory diseasesFerroptosisGut microbiotaM⁶a modificationMendelian randomizationSingle-cell eQTLSkin microbiota

Identifiers

PMID41559166
PMCPMC12895020

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.