Amino acid is a major carbon source for hepatic lipogenesis.

DNL MASH MASLD NAFLD amino acids dietary protein glucose glutamine lipogenesis

Journal

Cell metabolism
ISSN: 1932-7420
Titre abrégé: Cell Metab
Pays: United States
ID NLM: 101233170

Informations de publication

Date de publication:
22 Oct 2024
Historique:
received: 13 07 2023
revised: 24 04 2024
accepted: 02 10 2024
medline: 27 10 2024
pubmed: 27 10 2024
entrez: 26 10 2024
Statut: aheadofprint

Résumé

Increased de novo lipogenesis is a hallmark of metabolic dysfunction-associated steatotic liver disease (MASLD) in obesity, but the macronutrient carbon source for over half of hepatic fatty acid synthesis remains undetermined. Here, we discover that dietary protein, rather than carbohydrates or fat, is the primary nutritional risk factor for MASLD in humans. Consistently, ex vivo tracing studies identify amino acids as a major carbon supplier for the tricarboxylic acid (TCA) cycle and lipogenesis in isolated mouse hepatocytes. In vivo, dietary amino acids are twice as efficient as glucose in fueling hepatic fatty acid synthesis. The onset of obesity further drives amino acids into fatty acid synthesis through reductive carboxylation, while genetic and chemical interventions that divert amino acid carbon away from lipogenesis alleviate hepatic steatosis. Finally, low-protein diets (LPDs) not only prevent body weight gain in obese mice but also reduce hepatic lipid accumulation and liver damage. Together, this study uncovers the significant role of amino acids in hepatic lipogenesis and suggests a previously unappreciated nutritional intervention target for MASLD.

Identifiants

pubmed: 39461344
pii: S1550-4131(24)00397-8
doi: 10.1016/j.cmet.2024.10.001
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Author(s). Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Yilie Liao (Y)

Zhongshan Institute for Drug Discovery (ZIDD), Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, Guangdong 528400, China; School of Life Sciences, Tsinghua University, Beijing 100084, China; Center for Neurometabolism and Regenerative Medicine, Bioland Laboratories, Guangzhou, Guangdong 510530, China; Duke-NUS Medical School, National University of Singapore, Singapore 169857, Singapore. Electronic address: liaoyilie329@zidd.ac.cn.

Qishan Chen (Q)

Guangzhou National Laboratory, Guangzhou, Guangdong 510005, China.

Lei Liu (L)

School of Life Sciences, Tsinghua University, Beijing 100084, China.

Haipeng Huang (H)

School of Life Sciences, Tsinghua University, Beijing 100084, China; Institute of Molecular Medicine, College of Future Technology, Peking University, Beijing 100871, China.

Jingyun Sun (J)

Center for Neurometabolism and Regenerative Medicine, Bioland Laboratories, Guangzhou, Guangdong 510530, China.

Xiaojie Bai (X)

School of Life Sciences, Tsinghua University, Beijing 100084, China.

Chenchen Jin (C)

Guangzhou National Laboratory, Guangzhou, Guangdong 510005, China.

Honghao Li (H)

School of Life Sciences, Tsinghua University, Beijing 100084, China.

Fangfang Sun (F)

School of Life Sciences, Tsinghua University, Beijing 100084, China.

Xia Xiao (X)

School of Life Sciences, Tsinghua University, Beijing 100084, China.

Yahong Zhang (Y)

Guangzhou National Laboratory, Guangzhou, Guangdong 510005, China.

Jia Li (J)

Zhongshan Institute for Drug Discovery (ZIDD), Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Zhongshan, Guangdong 528400, China; Shanghai Institute of Materia Medica (SIMM), Chinese Academy of Sciences, Shanghai 201203, China.

Weiping Han (W)

Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A(∗)STAR), 61 Biopolis Drive, Proteos, Singapore 138673, Singapore. Electronic address: wh10@cornell.edu.

Suneng Fu (S)

Guangzhou National Laboratory, Guangzhou, Guangdong 510005, China. Electronic address: fu_suneng@gzlab.ac.cn.

Classifications MeSH