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Article

Magnetic resonance imaging quantifies causal body compartment effects on metabolic traits via immune phenotypes-a Mendelian randomisation study.

Journal of translational medicine - 22 Oct 2025

Zhang Di, Li Liang-Ping, Zhang Ying-Hui, Wang Pu, Lei Lei, Hu Yun, Zhou Chao, Yang Shu-Shu, Liu Wei-Hui, Huang Xin-Yu

Abstract excerpt

BACKGROUND: Metabolic diseases, including type 2 diabetes (T2D), hypertension, hyperlipidemia and metabolic dysfunction-associated fatty liver disease (MAFLD), are globally prevalent. However, traditional measures, such as body mass index (BMI), fail to capture body composition heterogeneity to accurately predict metabolic diseases. Magnetic resonance imaging (MRI) provides a precise quantification of body...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 41126336
DOI: 10.1186/s12967-025-07241-4
PMCID: PMC12541995

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CD14

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