Evidence map›Paper›PMID 40794348›Full record

ArticleAMB Express2025

Inflammation biomarkers mediate causal inference of the effect of skin microbiota on the risk of allergic diseases.

Yuting Zhang, Yanjuan Wu, Xiaofen Su, Qiming Gan, Yutong Ding, Jingcun Wang, Xinni Wang, Nuofu Zhang, Kang Wu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in AMB Express, 2025. 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. Host mScientific reports · 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

9 authors.

Yuting Zhang *Department of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China.
Yanjuan Wu *Department of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China.
Xiaofen Su *Department of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China.
Qiming GanDepartment of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China.
Yutong DingDepartment of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China.
Jingcun WangDepartment of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China.
Xinni WangDepartment of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China.
Nuofu ZhangDepartment of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China. nfzhanggird@163.com.
Kang WuDepartment of Pulmonary and Critical Care Medicine, Sleep Medicine Center, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, National Center for Respiratory Disease, The First Affiliated Hospital of Guangzhou Medical University, No. 28 Qiaozhong Mid Road, Guangzhou, 510160, Guangdong, China. d102_wk@126.com.

Funding

chool-enterprise cooperation funding project of Guangzhou NO. 2024A03J1141the Young Scientist Fund of National Natural Science Foundation of China NO. 82100062
6 · The paper itself

Abstract

Alterations in skin microbiota composition have been linked to allergic diseases, but the causal relationship remains unclear. To investigate the causal relationship between skin microbiota, allergic diseases, and inflammation biomarkers using Mendelian randomization (MR). We integrated summary statistics from genome-wide association studies (GWAS) of skin microbiota inflammation biomarkers, and seven allergic diseases. Inverse variance weighting (IVW) served as the primary statistical method, with supplementary analyses using MR-Egger regression, weighted median, and Weighted mode. Sensitivity analyses, including Cochran's Q test, MR-Egger intercept test and MR-PRESSO outlier detection, were conducted to validate and stabilize our findings. Two-step MR analyses were performed to identify potential mediating inflammation biomarkers between skin microbiota and allergic diseases.We identified 43 significant causal relationships between the skin microbiota and seven allergic diseases: allergic disease as a whole, asthma (adult, pediatric, allergic), allergic conjunctivitis, allergic rhinitis, atopic dermatitis, allergic urticaria and eczema, which included 20 protective and 23 risk causal relationships, respectively. Mediation analysis showed that specific biomarkers, such as C-C motif chemokine 19 and CD40L receptor levels, Interleukin-18 and TNF-β mediated these associations. This MR study provides robust evidence supporting causal relationships between specific skin microbiota taxa and allergic diseases, as well as potential mediating roles of inflammation biomarkers.

Indexed as

Allergic diseasesGeneticsInflammation biomarkersMendelian randomizationSkin microbiota

Identifiers

PMID40794348
PMCPMC12343437

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.