AUTHOR=Cheng Cheng , Zhou Ming-xi , He Xian , Liu Yao , Huang Ying , Niu Ming , Liu Yi-xuan , Gao Yuan , Lu Ya-wen , Song Xin-hua , Li Hui-fang , Xiao Xiao-he , Wang Jia-bo , Ma Zhi-tao 

TITLE=Metabolomic Analysis Uncovers Lipid and Amino Acid Metabolism Disturbance During the Development of Ascites in Alcoholic Liver Disease

JOURNAL=Frontiers in Medicine

VOLUME=Volume 9 - 2022

YEAR=2022

URL=https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2022.815467

DOI=10.3389/fmed.2022.815467

ISSN=2296-858X

ABSTRACT=Ascites is one of the most common complications of cirrhosis, and little knowledge on ascites-related pathologic metabolism were known. Here 122 alcoholic liver disease (ALD) patients, including 49 cases without ascites, 18 cases with mild-ascites and 55 cases with large-ascites (1) were established according to the International Ascites Club (2), and untargeted metabolomics coupled with pattern recognition approaches were performed to profile and extract metabolite signatures. A total of 553 metabolites were uniquely discovered in patients with ascites, of which 136 metabolites had been annotated in the human metabolome database. 21 ascites-related fingerprints were further identified through the PCA analysis. Moreover, the eigenmetabolite calculated from the 21 metabolites by reducing the dimensions could identify ALD patients with or without ascites effectively. The eigenmetabolite showed a decreasing trend during ascites production and accumulation and was negatively related to the disease progress. These metabolic fingerprints mainly belong to the metabolites in lipid metabolism and amino acid pathway. The results implies that lipid and amino acid metabolism disturbance might play a critical role in the development of ascites in ALD patients and could be a potent prognosis marker.