| Autor: |
Cheng Cheng, Ming-xi Zhou, Xian He, Yao Liu, Ying Huang, Ming Niu, Yi-xuan Liu, Yuan Gao, Ya-wen Lu, Xin-hua Song, Hui-fang Li, Xiao-he Xiao, Jia-bo Wang, Zhi-tao Ma |
| Rok vydání: |
2021 |
| Předmět: |
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| Zdroj: |
Frontiers in medicine. 9 |
| ISSN: |
2296-858X |
| Popis: |
Ascites is one of the most common complications of cirrhosis, and there is a dearth of knowledge about ascites-related pathologic metabolism. In this study, 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. Principal component analysis (PCA) analysis was used to further identify 21 ascites-related fingerprints. The eigenmetabolite calculated by reducing the dimensions of the 21 metabolites could be used to effectively identify those ALD patients with or without ascites. 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 the amino acid pathway. The results imply that lipid and amino acid metabolism disturbance may play a critical role in the development of ascites in ALD patients and could be a potent prognosis marker. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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