Association of the dietary index for gut microbiota with metabolic syndrome and its components combining interpretable machine learning algorithms

Our study presents compelling evidence that higher scores of the DI-GM are associated with a lower prevalence of Mets and its components. Dietary strategies that incorporate the DI-GM score could contribute to the harmonious ecological state of the gut microbiome and be crucial in the prevention of MetS.

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Publication Details

Journal
Journal of Health Population and Nutrition
Published
2025-11-26
DOI
https://doi.org/10.1186/s41043-025-01137-1
Primary Topic
Gut microbiota and health
Type
article
Field-Weighted Citation Impact
0.00

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article

Association of the dietary index for gut microbiota with metabolic syndrome and its components combining interpretable machine learning algorithms

Shu‐Fang Chu, Shengjia Wang, Deliang Liu, Hui-Lin Li et al.
Journal of Health Population and Nutrition
Gut microbiota and health
article

Association of the dietary index for gut microbiota with metabolic syndrome and its components combining interpretable machine learning algorithms

Shu‐Fang Chu, Shengjia Wang, Deliang Liu, Hui-Lin Li, Yu Jun Cai, Yan-Yan Tan
article en

Abstract

Our study presents compelling evidence that higher scores of the DI-GM are associated with a lower prevalence of Mets and its components. Dietary strategies that incorporate the DI-GM score could contribute to the harmonious ecological state of the gut microbiome and be crucial in the prevention of MetS.

Journal of Health Population and NutritionVol. 44(1)
Guangzhou University of Chinese Medicine (CN), Shenzhen Pingle Orthopedic Hospital (CN)
National Natural Science Foundation of China, Centers for Disease Control and Prevention, Sanming Project of Medicine in Shenzhen, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 67%
Gut microbiota and health
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