Journal of CardioVascular Insights

Open Access • Peer Reviewed • Quarterly Publication

Impact of Fat Distribution and Muscle Mass Phenotypes on Metabolism and Their Role in Subtyping T2DM

Authors: Xintong Zhang, Rui Zhang and Tao Jiang
Published: 2026-04-17
Pages: 1-12
DOI: 10.63721/26jcvi0118
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Abstract

Background: Type 2 diabetes mellitus (T2DM) is characterized by significant metabolic heterogeneity, requiring precise subtyping to optimize personalized management. While etiological classifications are foundational, they lack the granularity needed to predict diverse clinical trajectories.

Objective: This review elucidates the role of body composition phenotypes—specifically regional adiposity and skeletal muscle mass—as a framework for T2DM stratification.

Synthesis: We synthesized evidence regarding the pathophysiological cross-talk between adipose and skeletal muscle tissues. Adipose tissue modulates metabolism via lipotoxicity and systemic inflammation, while skeletal muscle governs glucose homeostasis through insulin-mediated uptake and myokine secretion. Crucially, the transition from regional fat distribution (visceral vs. gluteofemoral) to ectopic deposition (liver, pancreas) differentially impacts insulin resistance and beta-cell function. Dual-energy X-ray absorptiometry (DXA) is highlighted as a robust modality for precise phenotyping.

Key Findings: T2DM can be stratified into four distinct phenotypes: sarcopenic, simple obese, sarcopenic obese, and normal composition. Notably, the muscle-to-fat ratio often exhibits superior predictive value for cardiovascular and microvascular complications compared to solitary parameters.

Conclusion: Body composition-based phenotyping via DXA offers a scalable approach for T2DM subtyping. Integrating these anatomical markers into clinical practice facilitates targeted interventions and improves long-term metabolic prognoses.

Copyright & License

© 2026 The Author(s). Published by WM Journals.

This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.

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