Evidence mapPaperPMID 40211330Full record

ArticleNutrition & metabolism2025

Unveiling the interplay among skin microbiota, cytokines, and T2DM: an insightful Mendelian randomization study.

Zhe Zhang, Chunyu Jiang, Yi-Qi Xing, Tianke Yang, Linxuan Zou, Zhuqiang Jia, Lin Zhao, Xin Han, Xueling Qu, Zhen Zhang and 2 more

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

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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

12 authors.

Zhe Zhang *Department of Orthopaedic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China. chemwangcy@163.com.
Chunyu Jiang *Department of Trauma Surgery, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Yi-Qi Xing *Department of Orthopaedic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Tianke Yang *Department of Orthopaedic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Linxuan ZouDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Zhuqiang JiaThe First Affiliated Hospital of Dalian Medical University, Dalian, China.
Lin ZhaoDepartment of Quality Management, Dalian Municipal Central Hospital, Dalian, China.
Xin HanDepartment of Orthopaedic Surgery, The Second Affiliated Hospital of Dalian Medical University, Dalian, China.
Xueling QuPelvic Floor Repair Center, Dalian Women and Children Medical Center (Group), Dalian, China.
Zhen ZhangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China.
Junwei ZongDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China. aweizone@163.com.
Shouyu WangDepartment of Orthopaedic Surgery, The First Affiliated Hospital of Dalian Medical University, Dalian, China. wangshouyu666@126.com.

Funding

Applied Basic Research Project of Liaoning Province 2023JH2/101300096Basic Research Projects of Liaoning Provincial Department of Education LJKMZ20221286Liaoning Key Research and Development Planning Project 2017226015Liaoning Revitalization Talents Program XLYC1802014National Natural Science Foundation of China 82074426, 82104864, 82204822Natural Science Foundation of Liaoning Province 2021-BS-215, 2022-MS-25, 2023-MS-13Natural Science Foundation of Tibet Autonomous Region XZ202301ZR0030G, XZ2023ZR-ZY82(Z)
6 · The paper itself

Abstract

backgroundPrevious observational studies have indicated a correlation between the skin microbiome and Type 2 diabetes (T2DM). It is hypothesized that this causal relationship may be influenced by inflammatory responses. However, these factors as determinants of T2DM remain largely unexplored.

methodThis study incorporated data from the GWAS database on the skin microbiome, 91 types of inflammatory cytokines, and T2DM. We employed two-sample MR and multivariable MR methods to assess the correlation between the skin microbiome and T2DM, and to investigate whether this correlation is affected by inflammatory cytokines.

resultsThe results of the two-sample MR analysis indicate that within the skin microbiome, genetically predicted genus: Acinetobacter, class: Alphaproteobacteria, genus: Bacteroides, ASV005[Propionibacterium granulosum], and ASV072[Rothia mucilaginosa] are associated with an increased risk of T2DM, while phylum: Proteobacteria, genus: Enhydrobacter, family: Clostridiales, ASV006[Staphylococcus hominis] serve as protective factors against T2DM. Among the inflammatory cytokines, levels of Macrophage colony-stimulating factor 1, Tumor necrosis factor receptor superfamily member 9, Urokinase-type plasminogen activator, and C-C motif chemokine 28 are associated with an increased risk of T2DM. Multivariable MR analysis further revealed that Macrophage colony-stimulating factor 1 levels act as a mediating factor between ASV072[Rothia mucilaginosa] and T2DM.

conclusionIn this study, we found a connection between the skin microbiome and T2DM, with inflammatory cytokines playing a key role in this relationship. This research helps us better understand this complex link and shows that addressing inflammation is important for preventing and treating diabetes. This could greatly benefit public health by reducing the impact of diabetes and its complications. Our results suggest that future studies should explore the specific biological interactions between the skin microbiome and diabetes to develop more effective risk management and treatment strategies from a microbial perspective.

Indexed as

Inflammatory responsesMediating factorMendelian randomizationSkin microbiotaT2DM

Identifiers

PMID40211330
PMCPMC11987181

What Socratic holds

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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 Socratic graph.