Exploring the gut microbiome in type 2 diabetes across different insulin resistance levels: a machine learning approach

Specific GM features are associated with IR-related clinical measures and composite indices in T2DM, supporting their potential as intervention targets to improve insulin resistance and restore carbohydrate and lipid metabolism.

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Publication Details

Journal
Frontiers in Nutrition
Published
2026-01-28
DOI
https://doi.org/10.3389/fnut.2026.1747767
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring the gut microbiome in type 2 diabetes across different insulin resistance levels: a machine learning approach

Yuchi He, X.L. Zhang, Yifan Liu, Liu Ya et al.
Frontiers in Nutrition
Gut microbiota and health
article

Exploring the gut microbiome in type 2 diabetes across different insulin resistance levels: a machine learning approach

Yuchi He, X.L. Zhang, Yifan Liu, Liu Ya, Jialong Jia, Lu Liu, Yuqing Chen
article en

Abstract

Specific GM features are associated with IR-related clinical measures and composite indices in T2DM, supporting their potential as intervention targets to improve insulin resistance and restore carbohydrate and lipid metabolism.

Frontiers in NutritionVol. 13
Shanghai Traditional Chinese Medicine Hospital (CN), Sichuan Academy of Traditional Chinese Medicine (CN), Chengdu University of Traditional Chinese Medicine (CN)
Department of Science and Technology of Sichuan Province
Reduced inequalities
Openalex Percentile: Top 75%
Gut microbiota and health
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