Mirjavid Aghayev, Megan R McMullen, Serguei Ilchenko, Andrea Arias-Alvarado, Victor Lufi, Jack Mathis, Hannah Marchuk, Tsung-Heng Tsai, Guo-Fang Zhang, Laura E Nagy, Takhar Kasumov
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Chronic alcohol consumption reprograms hepatic metabolism through organelle-specific acetylation in mice.
Post-translational acetylation of proteins by acetyl-CoA is a crucial regulator of proteostasis and substrate metabolism. Ethanol metabolism in the liver induces protein accumulation, acetylation and metabolic disruption. While acetylation impacts enzyme activity and stability, its role in ethanol-related protein accumulation and metabolic dysfunction remains unclear. Using stable isotope-based proteomics, acetylomics, and metabolic profiling in a mouse model of chronic ethanol-induced liver injury, we demonstrate that ethanol induces hepatic steatosis, inflammation, oxidative stress, and proteinopathy linked to altered protein turnover. Ethanol increased the cytosolic protein turnover related to oxidative stress and detoxification, while reducing turnover of mitochondrial metabolic enzymes. It also elevated the acetylation of mitochondrial enzymes and nuclear histones with minimal cytosolic changes, impairing mitochondrial protein degradation. These changes were associated with altered levels of acyl-CoAs and acyl-carnitines, amino acids, and tricarboxylic acid (TCA) cycle intermediates, reflecting impaired fatty acid oxidation, nitrogen disposal and TCA cycle activities. These results suggest that ethanol-induced acetylation contributes to liver injury and that targeting acetylation may offer treatment for alcohol-induced liver diseases.
期刊介绍:
The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action.
The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data.
Scope:
-Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights
-Novel experimental and computational technologies
-Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes
-Pathway and network analyses of signaling that focus on the roles of post-translational modifications
-Studies of proteome dynamics and quality controls, and their roles in disease
-Studies of evolutionary processes effecting proteome dynamics, quality and regulation
-Chemical proteomics, including mechanisms of drug action
-Proteomics of the immune system and antigen presentation/recognition
-Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease
-Clinical and translational studies of human diseases
-Metabolomics to understand functional connections between genes, proteins and phenotypes