Adipose Tissue Dysfunction in Metabolic Dysfunction-Associated Steatotic Liver Disease

Metabolic dysfunction-associated steatotic liver disease (MASLD) is clinically heterogeneous. Patients with similar body mass index, waist circumference, or noninvasive fibrosis stratum may differ markedly in histologic activity, fibrosis trajectory, and progression risk. Adipose tissue dysfunction helps explain this variation. Adipose dysfunction has been characterized by direct depot quantification, measurement of subcutaneous adipose tissue fibrogenesis, adipose tissue insulin resistance, and circulating adipokine profiles. These measures capture different features of adipose biology and have each been linked to liver injury or fibrosis severity. Clinically recognizable body-composition phenotypes—lean MASLD, sarcopenic visceral obesity, myosteatosis, and the hypertriglyceridemic waist—differ in accessibility, mechanistic specificity, and prognostic value. Recent therapeutic developments in metabolic dysfunction-associated steatohepatitis (MASH), including resmetirom, semaglutide, tirzepatide, fibroblast growth factor 21 (FGF21) analogs, and older adipose-directed agents such as pioglitazone, illustrate the importance of distinguishing adipose-mediated, weight-mediated, and liver-directed mechanisms. This review summarizes the literature on adipose tissue dysfunction in MASLD, the body-composition phenotypes associated with it, and recent therapeutic data in the context of adipose–liver–muscle biology.

Authors

Institutions

Publication Details

Journal
Cells
Published
2026-07-30
DOI
https://doi.org/10.3390/cells15151377
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Adipose Tissue Dysfunction in Metabolic Dysfunction-Associated Steatotic Liver Disease

Liyun Yuan, Andrew John Legaspi Cruz
Cells
Liver Disease Diagnosis and Treatment
article

Adipose Tissue Dysfunction in Metabolic Dysfunction-Associated Steatotic Liver Disease

Liyun Yuan, Andrew John Legaspi Cruz
article en

Abstract

Metabolic dysfunction-associated steatotic liver disease (MASLD) is clinically heterogeneous. Patients with similar body mass index, waist circumference, or noninvasive fibrosis stratum may differ markedly in histologic activity, fibrosis trajectory, and progression risk. Adipose tissue dysfunction helps explain this variation. Adipose dysfunction has been characterized by direct depot quantification, measurement of subcutaneous adipose tissue fibrogenesis, adipose tissue insulin resistance, and circulating adipokine profiles. These measures capture different features of adipose biology and have each been linked to liver injury or fibrosis severity. Clinically recognizable body-composition phenotypes—lean MASLD, sarcopenic visceral obesity, myosteatosis, and the hypertriglyceridemic waist—differ in accessibility, mechanistic specificity, and prognostic value. Recent therapeutic developments in metabolic dysfunction-associated steatohepatitis (MASH), including resmetirom, semaglutide, tirzepatide, fibroblast growth factor 21 (FGF21) analogs, and older adipose-directed agents such as pioglitazone, illustrate the importance of distinguishing adipose-mediated, weight-mediated, and liver-directed mechanisms. This review summarizes the literature on adipose tissue dysfunction in MASLD, the body-composition phenotypes associated with it, and recent therapeutic data in the context of adipose–liver–muscle biology.

CellsVol. 15(15)
LAC+USC Medical Center (US), Keck Hospital of USC (US)
Good health and well-being
Openalex Percentile: Top 9%
Liver Disease Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.