Chen Shuai-Shuai, Huang Ying, Guo Yu-Ming, Li Shan-Shan, Shi Zhuo, Niu Ming, Zou Zheng-Sheng, Xiao Xiao-He, Wang Jia-Bo
School of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China.
Department of Liver Diseases, The Fifth Medical Center of Chinese People's Liberation Army General Hospital, Beijing, China.
Front Med (Lausanne). 2021 Mar 29;8:640799. doi: 10.3389/fmed.2021.640799. eCollection 2021.
Chronic drug-induced liver injury (DILI) occurs in up to 20% of all DILI patients. It presents a chronic pattern with persistent or relapsed episodes and may even progress to cirrhosis. However, its underlying development mechanism is poorly understood. To find serum metabolite signatures of chronic DILI with or without cirrhosis, and to elucidate the underlying mechanism. Untargeted metabolomics coupled with pattern recognition approaches were used to profile and extract metabolite signatures from 83 chronic DILI patients, including 58 non-cirrhosis (NC) cases, 14 compensated cirrhosis (CC) cases, and 11 decompensated cirrhosis (DC) cases. Of the 269 annotated metabolites associated with chronic DILI, metabolic fingerprints associated with cirrhosis (including 30 metabolites) and decompensation (including 25 metabolites), were identified. There was a significantly positive correlation between cirrhosis-associated fingerprint (eigenmetabolite) and the aspartate aminotransferase-to-platelet ratio index (APRI) ( = 0.315, = 0.003). The efficacy of cirrhosis-associated eigenmetabolite coupled with APRI to identify cirrhosis from non-cirrhosis patients was significantly better than APRI alone [area under the curve (AUC) value 0.914 vs. 0.573]. The decompensation-associated fingerprint (eigenmetabolite) can effectively identify the compensation and decompensation periods (AUC value 0.954). The results of the metabolic fingerprint pathway analysis suggest that the blocked tricarboxylic acid cycle (TCA cycle) and intermediary metabolism, excessive accumulation of bile acids, and perturbed amino acid metabolism are potential mechanisms in the occurrence and development of chronic DILI-associated cirrhosis. The metabolomic fingerprints characterize different stages of chronic DILI progression and deepen the understanding of the metabolic reprogramming mechanism of chronic DILI progression to cirrhosis.
慢性药物性肝损伤(DILI)在所有DILI患者中发生率高达20%。它呈现出一种慢性模式,伴有持续或复发的发作,甚至可能进展为肝硬化。然而,其潜在的发病机制尚不清楚。为了寻找伴有或不伴有肝硬化的慢性DILI的血清代谢物特征,并阐明其潜在机制。采用非靶向代谢组学结合模式识别方法,对83例慢性DILI患者进行代谢物特征分析和提取,其中包括58例非肝硬化(NC)患者、14例代偿期肝硬化(CC)患者和11例失代偿期肝硬化(DC)患者。在与慢性DILI相关的269种注释代谢物中,鉴定出了与肝硬化(包括30种代谢物)和失代偿(包括25种代谢物)相关的代谢指纹。肝硬化相关指纹(特征代谢物)与天冬氨酸氨基转移酶与血小板比值指数(APRI)之间存在显著正相关(r = 0.315,P = 0.003)。肝硬化相关特征代谢物联合APRI从非肝硬化患者中识别肝硬化的效能显著优于单独使用APRI[曲线下面积(AUC)值为0.914对0.573]。失代偿相关指纹(特征代谢物)能有效识别代偿期和失代偿期(AUC值为0.954)。代谢指纹通路分析结果表明,三羧酸循环(TCA循环)和中间代谢受阻、胆汁酸过度蓄积以及氨基酸代谢紊乱是慢性DILI相关肝硬化发生发展的潜在机制。代谢组学指纹表征了慢性DILI进展的不同阶段,加深了对慢性DILI进展为肝硬化的代谢重编程机制的理解。