Abstract
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a multifactorial disease characterized by hepatic steatosis. Mitochondrial dysfunction resulting in the incomplete digestion of surplus fat is one of the key factors that lead to hepatic steatosis but the reason for this remains unclear. We investigated the role of neurotensin (NTS), a gut hormone, in inducing maladaptive fat metabolism in steatotic liver. We identify CD36 and PGC1α, two critical drivers of MASLD, as direct NTS signaling targets in the liver. NTS upregulates CD36, a free fatty acid receptor, in hepatocytes and promotes long chain lipid uptake. Conversely, NTS inhibits PGC1α, which acts as a lipid sensor and translocates to the nucleus to activate lipid catabolism-related genes in an AMPK-dependent manner. Thus, a high fat diet decreases the fatty acid oxidation and oxidative phosphorylation capacity of the liver and hepatocytes from NTS or NTS receptor 1 (NTSR1) wild type mice; whereas NTS deficiency preserves the lipid metabolism capacity of the liver. NTS signaling is significantly upregulated in MASLD and in metabolic dysfunction-associated steatohepatitis (MASH) human liver samples when compared to normal livers, which correlates with the expression of CD36 and oxidative phosphorylation proteins. These findings provide critical mechanistic insights into the maladaptive fat metabolism noted with steatosis in mice and humans and suggest novel strategies for therapeutic intervention of MASLD, which affects nearly one-quarter of the global population.
| Original language | English |
|---|---|
| Article number | 347 |
| Journal | Cell Death and Disease |
| Volume | 16 |
| Issue number | 1 |
| DOIs | |
| State | Published - Dec 2025 |
Bibliographical note
Publisher Copyright:© The Author(s) 2025.
Funding
The human specimens used in this study were provided by the biorepository of the University of Kansas Liver Tissue Biorepository supported by NIGMS grant P20 GM144269. The authors acknowledge the contribution of the patients who donated specimens for research as well as the physicians, nurses and researchers who procured the specimens. The authors wish to thank Dr. Steven Weinman (Kansas University) and Dr. Ilaria Barchetta (Sapienza University of Rome) for their insightful comments and careful review of our manuscript. The authors acknowledge the Markey Cancer Center Research Communications Office for assistance with manuscript preparation and graphics. The Biostatistics and Bioinformatics Shared Resource and the Redox Metabolism Shared Resource assisted with statistics, Seahorse studies, and metabolomics, respectively (P30 CA177558 to BME). This research was supported by grants from the National Institutes of Health (R01 DK112034, R01 DK048498, P20 GM121327, R01 CA133429 and P30 CA177558). The funders had no role in study design, data collection, data analysis, data interpretation, and writing of this manuscript.
| Funders | Funder number |
|---|---|
| University of Kansas and University of Kansas Cancer Center | |
| National Institutes of Health (NIH) | P30 CA177558, R01 DK048498, R01 CA133429, P20 GM121327, R01 DK112034 |
| National Institutes of Health (NIH) | |
| National Institute of General Medical Sciences DP2GM119177 Sophie Dumont National Institute of General Medical Sciences | P20 GM144269 |
| National Institute of General Medical Sciences DP2GM119177 Sophie Dumont National Institute of General Medical Sciences |
ASJC Scopus subject areas
- Immunology
- Cellular and Molecular Neuroscience
- Cell Biology
- Cancer Research