Immune Determinants of MASLD Progression: From Immunometabolic Reprogramming to Fibrotic Transformation

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a progressive spectrum of metabolic liver injury in which immune activation, metabolic stress, and stromal remodeling evolve in a tightly interdependent manner. Although early disease stages are dominated by metabolic overload, accumulating evidence indicates that immunometabolic rewiring and fibro-inflammatory amplification critically shape the transition toward metabolic dysfunction-associated steatohepatitis (MASH) and advanced fibrosis. This review synthesizes emerging insights into how hepatocyte stress responses, innate and adaptive immune circuits, and extracellular matrix-producing stromal populations interact to form a dynamic, feed-forward network driving disease progression. Particular emphasis is placed on the deterministic role of immune-fibrotic coupling in shaping clinical phenotypes, disease trajectory, and therapeutic responsiveness. Rather than focusing on individual molecular layers, we highlight how integrated clinical, imaging, and biomarker-informed frameworks can capture immune-fibrotic signatures relevant to risk stratification and precision intervention. Building on this systems-level perspective, we outline next-generation therapeutic strategies targeting immunometabolic circuits, cross-organ communication, and multi-system dysfunction. Finally, we discuss how future precision medicine-supported by integrative biomarker profiling and dynamic physiological assessment-may reshape MASLD management and improve long-term hepatic and cardiometabolic outcomes.

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Publication Details

Journal
Biology
Published
2026-01-14
DOI
https://doi.org/10.3390/biology15020148
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Immune Determinants of MASLD Progression: From Immunometabolic Reprogramming to Fibrotic Transformation

Zhaoshan Zhang, Senping Xu, Jiawei Guo, Zhongquan Zhou
Biology
Liver Disease Diagnosis and Treatment
article

Immune Determinants of MASLD Progression: From Immunometabolic Reprogramming to Fibrotic Transformation

Zhaoshan Zhang, Senping Xu, Jiawei Guo, Zhongquan Zhou
article en

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) represents a progressive spectrum of metabolic liver injury in which immune activation, metabolic stress, and stromal remodeling evolve in a tightly interdependent manner. Although early disease stages are dominated by metabolic overload, accumulating evidence indicates that immunometabolic rewiring and fibro-inflammatory amplification critically shape the transition toward metabolic dysfunction-associated steatohepatitis (MASH) and advanced fibrosis. This review synthesizes emerging insights into how hepatocyte stress responses, innate and adaptive immune circuits, and extracellular matrix-producing stromal populations interact to form a dynamic, feed-forward network driving disease progression. Particular emphasis is placed on the deterministic role of immune-fibrotic coupling in shaping clinical phenotypes, disease trajectory, and therapeutic responsiveness. Rather than focusing on individual molecular layers, we highlight how integrated clinical, imaging, and biomarker-informed frameworks can capture immune-fibrotic signatures relevant to risk stratification and precision intervention. Building on this systems-level perspective, we outline next-generation therapeutic strategies targeting immunometabolic circuits, cross-organ communication, and multi-system dysfunction. Finally, we discuss how future precision medicine-supported by integrative biomarker profiling and dynamic physiological assessment-may reshape MASLD management and improve long-term hepatic and cardiometabolic outcomes.

BiologyVol. 15(2)
Sun Yat-sen University (CN), Yangtze University (CN)
Health Commission of Hubei Province, National Natural Science Foundation of China, Yangtze University
Good health and well-being
Openalex Percentile: Top 88%
Liver Disease Diagnosis and Treatment
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