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Metabolomic Profiling of Autoimmune Hepatitis: The Diagnostic Utility of Nuclear Magnetic Resonance Spectroscopy

代谢组学 自身免疫性肝炎 生物标志物 医学 内科学 病理 肝炎 胃肠病学 化学 生物 生物信息学 生物化学
作者
Jiabo Wang,Shi-biao Pu,Ying Sun,Zhong‐Feng Li,Ming Niu,Xianzhong Yan,Yanling Zhao,Lifeng Wang,Xuemei Qin,Zhijie Ma,Yaming Zhang,Baosen Li,Shengqiang Luo,Man Gong,Yongqiang Sun,Zhengsheng Zou,Xiaohe Xiao
出处
期刊:Journal of Proteome Research [American Chemical Society]
卷期号:13 (8): 3792-3801 被引量:87
标识
DOI:10.1021/pr500462f
摘要

Autoimmune hepatitis (AIH) is often confused with other liver diseases because of their shared nonspecific symptoms and serological and histological overlap. This study compared the plasma metabolomic profiles of patients with AIH, primary biliary cirrhosis (PBC), PBC/AIH overlap syndrome (OS), and drug-induced liver injury (DILI) with those of healthy subjects to identify potential biomarkers of AIH. Metabolomic profiling and biomarker screening were performed using proton nuclear magnetic resonance spectroscopy (1H NMR) coupled with a partial least-squares discriminant analysis. Compared with the levels in healthy volunteers and other liver disease patients, AIH patients exhibited relatively high levels of plasma pyruvate, lactate, acetate, acetoacetate, and glucose. Such metabolites are typically related to energy metabolism alterations and may be a sign of metabolic conversion to the aerobic glycolysis phenotype of excessive immune activation. Increased aromatic amino acids and decreased branched-chain amino acids were found in the plasma of AIH patients. The whole NMR profiles were stepwise-reduced, and nine metabolomic biomarkers having the greatest significance in the discriminant analysis were obtained. The diagnostic utility of the selected metabolites was assessed, and these biomarkers achieved good sensitivity, specificity, and accuracy (all above 93%) in distinguishing AIH from PBC, DILI, and OS. This report is the first to present the metabolic phenotype of AIH and the potential utility of 1H NMR metabolomics in the diagnosis of AIH.
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