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Metabolomics of Hydrazine-Induced Hepatotoxicity in Rats for Discovering Potential Biomarkers

机译:肼诱导的大鼠肝毒性的代谢组学用于发现潜在的生物标志物

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摘要

Metabolic pathway disturbances associated with drug-induced liver injury remain unsatisfactorily characterized. Diagnostic biomarkers for hepatotoxicity have been used to minimize drug-induced liver injury and to increase the clinical safety. A metabolomics strategy using rapid-resolution liquid chromatography/tandem mass spectrometry (RRLC-MS/MS) analyses and multivariate statistics was implemented to identify potential biomarkers for hydrazine-induced hepatotoxicity. The global serum and urine metabolomics of 30 hydrazine-treated rats at 24 or 48 h postdosing and 24 healthy rats were characterized by a metabolomics approach. Multivariate statistical data analyses and receiver operating characteristic (ROC) curves were performed to identify the most significantly altered metabolites. The 16 most significant potential biomarkers were identified to be closely related to hydrazine-induced liver injury. The combination of these biomarkers had an area under the curve (AUC) > 0.85, with 100% specificity and sensitivity, respectively. This high-quality classification group included amino acids and their derivatives, glutathione metabolites, vitamins, fatty acids, intermediates of pyrimidine metabolism, and lipids. Additionally, metabolomics pathway analyses confirmed that phenylalanine, tyrosine, and tryptophan biosynthesis as well as tyrosine metabolism had great interactions with hydrazine-induced liver injury in rats. These discriminating metabolites might be useful in understanding the pathogenesis mechanisms of liver injury and provide good prospects for drug-induced liver injury diagnosis clinically.
机译:与药物引起的肝损伤相关的代谢途径紊乱仍未令人满意。肝毒性的诊断生物标志物已被用于使药物性肝损伤最小化并提高临床安全性。代谢组学策略使用快速拆分液相色谱/串联质谱(RRLC-MS / MS)分析和多元统计数据进行,以识别肼诱导的肝毒性的潜在生物标志物。用代谢组学方法对30只在用药后24或48 h时用肼处理的大鼠和24例健康大鼠的总体血清和尿液代谢组学进行了表征。进行多变量统计数据分析和接收者操作特征(ROC)曲线,以鉴定变化最明显的代谢物。确定了16种最重要的潜在生物标志物与肼诱导的肝损伤密切相关。这些生物标志物的组合在曲线下的面积(AUC)≥0.85,分别具有100%的特异性和敏感性。该高质量分类组包括氨基酸及其衍生物,谷胱甘肽代谢产物,维生素,脂肪酸,嘧啶代谢的中间体和脂质。此外,代谢组学通路分析证实,苯丙氨酸,酪氨酸和色氨酸的生物合成以及酪氨酸代谢与肼诱导的大鼠肝损伤具有很大的相互作用。这些可区分的代谢物可能有助于了解肝损伤的发病机制,并为临床药物性肝损伤诊断提供良好的前景。

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