Decoding the Endocrine Code of Skeletal Muscle: Myokines, Exerkines, and Inter-Organ Crosstalk in Metabolic Health and Disease

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Authors: Young‐Sool Hah, Jeongyun Hwang, Seung-Jun Lee, Seung-Jin Kwag
Cited by: 14
References: 168

Abstract

Skeletal muscle is increasingly recognized as a dynamic endocrine and paracrine organ that communicates with distal tissues through a diverse secretome of peptides, proteins, metabolites, and extracellular vesicles (EVs), collectively referred to as myokines and exerkines. Beyond cataloging individual factors, emerging evidence suggests that muscle-derived signals can convey information through an integrated, context-dependent "endocrine code"-a pattern defined by secretion kinetics, co-released signal combinations, delivery modalities, and target-tissue receptor landscapes. This review synthesizes current evidence on (i) conceptual and experimental criteria for defining bona fide myokines, (ii) mechanisms governing myokine expression, processing, and release across exercise modes and physiological states, and (iii) major muscle-organ axes that connect physical activity to systemic metabolic homeostasis, immune remodeling, tissue regeneration, and neurocognitive adaptation. We further discuss non-protein mediators such as lactate, succinate, and β-aminoisobutyric acid, and highlight EVs as a multiplexed delivery modality whose interpretation requires stringent isolation, contamination controls, and functional validation. Finally, we evaluate translational opportunities-including biomarker panels, therapeutic targeting of the myostatin/activin, fibroblast growth factor 21 (FGF21), and growth differentiation factor 15 (GDF15) pathways, and precision exercise prescriptions informed by multi-omics and artificial intelligence-while emphasizing analytical standardization, causal validation, and transparent reporting as prerequisites for clinical impact.

Fields of Study & Subjects

Muscle Physiology and Disorders GDF15 and Related Biomarkers Adipose Tissue and Metabolism

Publication details

Journal / source
Cells
Publisher
MDPI AG
Volume
15
Issue
4
Pages
318–318
Publication date
8 February 2026
Language
EN