Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis

Abstract Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease associated with profound metabolic changes. The purpose of this study was to identify a distinctive metabolic signature from the training set with 29 PBC patients, 30 hepatitis B virus (HBV)-caused cirrhosis (HBC) and 4...

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Autores principales:	Juan Hao, Tao Yang, Yang Zhou, Guo-Yuan Gao, Feng Xing, Yuan Peng, Yan-Yan Tao, Cheng-Hai Liu
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/98d59c4b151542d492d3ff776fba87dc
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spelling	oai:doaj.org-article:98d59c4b151542d492d3ff776fba87dc2021-12-02T15:05:12ZSerum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis10.1038/s41598-017-00944-92045-2322https://doaj.org/article/98d59c4b151542d492d3ff776fba87dc2017-04-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-00944-9https://doaj.org/toc/2045-2322Abstract Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease associated with profound metabolic changes. The purpose of this study was to identify a distinctive metabolic signature from the training set with 29 PBC patients, 30 hepatitis B virus (HBV)-caused cirrhosis (HBC) and 41 healthy controls, and to validate the applicability and stability of the distinctive model from the validation set with 21 PBC patients, 7 autoimmune hepatitis (AIH) and 9 HBC. The sera were investigated using high resolution nuclear magnetic resonance (NMR) and the datasets were analyzed pairwise using pattern recognition methods. 45 distinguishable metabolites were identified and 15 metabolic pathways were reprogrammed. The altered metabolic pathways were associated with glucose, fatty acid and amino acid metabolites. Logistic regression and ROC analysis were used to establish a diagnostic model with the equated (p) = −12.22–3.46log(4-hydroxyproline) + 6.62log(3-hydroxyisovalerate) − 2.44log(citraconate) − 3.80log(pyruvate). The area under the curve (AUC) of the optimized model was 0.937 (95% confidence interval (CI): 0.868–0.976) in the training set and 0.890 (95% CI: 0.743–0.969) in the validation set. These results not only revealed the potential pathogenesis of PBC, but also provided a feasible diagnostic tool for PBC populations through detection of serum metabolites.Juan HaoTao YangYang ZhouGuo-Yuan GaoFeng XingYuan PengYan-Yan TaoCheng-Hai LiuNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Juan Hao Tao Yang Yang Zhou Guo-Yuan Gao Feng Xing Yuan Peng Yan-Yan Tao Cheng-Hai Liu Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis
description	Abstract Primary biliary cholangitis (PBC) is a chronic autoimmune liver disease associated with profound metabolic changes. The purpose of this study was to identify a distinctive metabolic signature from the training set with 29 PBC patients, 30 hepatitis B virus (HBV)-caused cirrhosis (HBC) and 41 healthy controls, and to validate the applicability and stability of the distinctive model from the validation set with 21 PBC patients, 7 autoimmune hepatitis (AIH) and 9 HBC. The sera were investigated using high resolution nuclear magnetic resonance (NMR) and the datasets were analyzed pairwise using pattern recognition methods. 45 distinguishable metabolites were identified and 15 metabolic pathways were reprogrammed. The altered metabolic pathways were associated with glucose, fatty acid and amino acid metabolites. Logistic regression and ROC analysis were used to establish a diagnostic model with the equated (p) = −12.22–3.46log(4-hydroxyproline) + 6.62log(3-hydroxyisovalerate) − 2.44log(citraconate) − 3.80log(pyruvate). The area under the curve (AUC) of the optimized model was 0.937 (95% confidence interval (CI): 0.868–0.976) in the training set and 0.890 (95% CI: 0.743–0.969) in the validation set. These results not only revealed the potential pathogenesis of PBC, but also provided a feasible diagnostic tool for PBC populations through detection of serum metabolites.
format	article
author	Juan Hao Tao Yang Yang Zhou Guo-Yuan Gao Feng Xing Yuan Peng Yan-Yan Tao Cheng-Hai Liu
author_facet	Juan Hao Tao Yang Yang Zhou Guo-Yuan Gao Feng Xing Yuan Peng Yan-Yan Tao Cheng-Hai Liu
author_sort	Juan Hao
title	Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis
title_short	Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis
title_full	Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis
title_fullStr	Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis
title_full_unstemmed	Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis
title_sort	serum metabolomics analysis reveals a distinct metabolic profile of patients with primary biliary cholangitis
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/98d59c4b151542d492d3ff776fba87dc
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Serum Metabolomics Analysis Reveals a Distinct Metabolic Profile of Patients with Primary Biliary Cholangitis

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