MicroRNA-21 promotes dysregulated lipid metabolism and hepatocellular carcinoma

The prevalence of hepatocellular carcinoma (HCC) is rising in parallel with increasing obesity and metabolic dysfunction-associated steatohepatitis (MASH). MicroRNAs (miRNAs) are key post-transcriptional regulators of gene expression and attractive targets for HCC therapy. Here, we sought to identify and characterize dysregulated miRNAs in MASH-driven HCC (MASH-HCC). We profiled miRNA expression in liver tissue from patients with MASH or MASH-HCC and in zebrafish HCC driven by activated β-catenin (CTNNB1), one of the most commonly mutated oncogenes in MASH-HCC. We found overlap between dysregulated human and zebrafish miRNAs, including microRNA-21 (miR-21), which was increasingly upregulated from normal liver to MASH to MASH-HCC. We generated transgenic zebrafish that overexpress or sponge miR-21 in hepatocytes. We found that miR-21 overexpression caused larval liver overgrowth and increased HCC, while miR-21 sponge suppressed β-catenin-driven larval liver overgrowth. By performing histological and lipidomics analysis, we found that overexpression of miR-21, like activated β-catenin (ABC), suppressed lipid accumulation in response to a high cholesterol diet and increased accumulation of acylcarnitines. Thus, miR-21, which is similarly upregulated in human and zebrafish HCC, promotes lipid metabolic changes that may help drive hepatocarcinogenesis.

Authors

Institutions

Publication Details

Journal
Disease Models & Mechanisms
Published
2026-01-26
DOI
https://doi.org/10.1242/dmm.052583
Citations
1
Primary Topic
MicroRNA in disease regulation
Type
article
Field-Weighted Citation Impact
24.82

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MicroRNA-21 promotes dysregulated lipid metabolism and hepatocellular carcinoma

M. O'Connell Ryan, Y. Chen, Chris Stubben, Chad VanSant‐Webb et al.
1 citations
Disease Models & Mechanisms
MicroRNA in disease regulation
24.82
article

MicroRNA-21 promotes dysregulated lipid metabolism and hepatocellular carcinoma

M. O'Connell Ryan, Y. Chen, Chris Stubben, Chad VanSant‐Webb, Aavrati Saxena, Richard A. Smith, Gregory S. Ducker, Carrie L. Barton, Mario J. García, Audrey Y. Su, Jillian Wright, Jessye C. Castro, Kiandra Hawkins, Kimberley J. Evason
article en
1 citations

Abstract

The prevalence of hepatocellular carcinoma (HCC) is rising in parallel with increasing obesity and metabolic dysfunction-associated steatohepatitis (MASH). MicroRNAs (miRNAs) are key post-transcriptional regulators of gene expression and attractive targets for HCC therapy. Here, we sought to identify and characterize dysregulated miRNAs in MASH-driven HCC (MASH-HCC). We profiled miRNA expression in liver tissue from patients with MASH or MASH-HCC and in zebrafish HCC driven by activated β-catenin (CTNNB1), one of the most commonly mutated oncogenes in MASH-HCC. We found overlap between dysregulated human and zebrafish miRNAs, including microRNA-21 (miR-21), which was increasingly upregulated from normal liver to MASH to MASH-HCC. We generated transgenic zebrafish that overexpress or sponge miR-21 in hepatocytes. We found that miR-21 overexpression caused larval liver overgrowth and increased HCC, while miR-21 sponge suppressed β-catenin-driven larval liver overgrowth. By performing histological and lipidomics analysis, we found that overexpression of miR-21, like activated β-catenin (ABC), suppressed lipid accumulation in response to a high cholesterol diet and increased accumulation of acylcarnitines. Thus, miR-21, which is similarly upregulated in human and zebrafish HCC, promotes lipid metabolic changes that may help drive hepatocarcinogenesis.

Disease Models & MechanismsVol. 19(2)
Albert Einstein College of Medicine (US), Myriad (Germany) (DE), University of Utah (US), Huntsman Cancer Institute (US), Utah Department of Health (US)
Damon Runyon Cancer Research Foundation, University of Utah, Huntsman Cancer Foundation, Huntsman Cancer Institute, National Institutes of Health, National Cancer Institute
Openalex Percentile: Top 2%
MicroRNA in disease regulation
24.82
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.