Evidence mapPaperPMID 42489317Full record

ArticleJournal of diabetes investigation2026

The mediating role of genes in the influence of intestinal flora on type 2 diabetes and the screening of diagnostic markers.

Yu-Yang Chen, Yi-Fan Shi, Xin-Yue Zhang, Jing-Yue Zhang, Shi-Mao Zhang, Heng-Xia Zhao, De-Liang Liu

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Article in Journal of diabetes investigation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Yu-Yang ChenThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, 518033, China.ORCID https://orcid.org/0000-0001-7176-978X
Yi-Fan ShiThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, 518033, China.
Xin-Yue ZhangThe Fourth Clinical Medical College, Guangzhou University of Chinese Medicine, Shenzhen, 518033, China.
Jing-Yue ZhangDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China.
Shi-Mao ZhangDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China.
Heng-Xia ZhaoDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China.ORCID https://orcid.org/0000-0003-1327-1902
De-Liang LiuDepartment of Endocrinology, Shenzhen Traditional Chinese Medicine Hospital, Shenzhen, 518033, China.ORCID https://orcid.org/0000-0002-5502-7820

Funding

Shenzhen "Three Famous Project" for Medical and Health Development (grant number: SZZYSM202411016) SZZYSM202411016
6 · The paper itself

Abstract

introductionThe composition of intestinal flora affects the occurrence and development of type 2 diabetes to some extent, with dysregulation of the microbiome being a clinical manifestation of the disease.

methodsThe key intestinal flora with causal relationship to type 2 diabetes was obtained by mendelian randomization (MR) analysis. Meanwhile, differentially expressed genes (DEGs) were analyzed in the GSE76894 dataset and overlapped with causal genes. The differentially expressed causal genes were screened by machine learning, and diagnostic markers of type 2 diabetes were identified. We also analyzed the expression of diagnostic markers for different cell types using the single-cell data to provide a more reliable basis for disease diagnosis.

resultsThe study identified 10 key intestinal flora that were causally linked to type 2 diabetes through MR analysis. Transcriptome-wide association study (TWAS) and cis-expression quantitative trait loci.(eQTL) MR analysis of type 2 diabetes identified 228 genes that were causally linked to type 2 diabetes (|Z score| > 1, P < 0.05). About 20 causal genes were selected by MR analysis of 228 genes and intestinal flora causally related to type 2 diabetes. The diagnostic markers screened by machine learning were verified by the area under the curve (AUC), the results were all >0.7, indicating good diagnostic efficiency. Single-cell analysis suggested that BEND7 was specifically high expression in the control group, and C1orf85 was specifically high expression in samples with type 2 diabetes.

conclusionsThe study provided a solid theoretical basis for further understanding of the underlying mechanisms of type 2 diabetes pathogenesis and progression.

Indexed as

Gut microbiotaMendelian randomizationType 2 diabetes

Identifiers

PMID42489317
PMCPMC13394992

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