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Metabolomics

Title:		Diagnosis of Clostridium difficile infection using an UPLC-MS based metabolomics method
Author(s):		Zhou P; Zhou N; Shao L; Li J; Liu S; Meng X; Duan J; Xiong X; Huang X; Chen Y; Fan X; Zheng Y; Ma S; Li C; Wu A;
Address:		"Infection Control Center, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, People's Republic of China. Department of Infectious Diseases, The Second Xiangya Hospital, Central South University, Changsha, 410011, Hunan, People's Republic of China. State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, Zhejiang, People's Republic of China. Department of Infectious Diseases, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shanxi, People's Republic of China. Department of Infectious Diseases, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People's Republic of China. Department of Epidemiology and Health Statistics, Xiangya School of Public Health, Central South University, Changsha, 410078, Hunan, People's Republic of China. Infection Control Center, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, People's Republic of China. lichunhui@csu.edu.cn. Infection Control Center, Xiangya Hospital, Central South University, Changsha, 410078, Hunan, People's Republic of China. xywuanhua@csu.edu.cn"
Journal Title:		Metabolomics
Year:		2018
Volume:		20180719
Issue:		8
Page Number:		102 -
DOI:		10.1007/s11306-018-1397-x
ISSN/ISBN:		1573-3890 (Electronic) 1573-3882 (Linking)
Abstract:		"INTRODUCTION: The fecal metabolome of Clostridium difficile (CD) infection is far from being understood, particularly its non-volatile organic compounds. The drawbacks of current tests used to diagnose CD infection hinder their application. OBJECTIVE: The aims of this study were to find new characteristic fecal metabolites of CD infection and develop a metabolomics model for the diagnosis of CD infection. METHODS: Ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) was used to characterize the fecal metabolome of CD positive and negative diarrhea and healthy control stool samples. RESULTS: Diarrhea and healthy control samples showed distinct clusters in the principal components analysis score plot, and CD positive group and CD negative group demonstrated clearer separation in a partial least squares discriminate analysis model. The relative abundance of sphingosine, chenodeoxycholic acid, phenylalanine, lysophosphatidylcholine (C16:0), and propylene glycol stearate was higher, and the relative abundance of fatty amide, glycochenodeoxycholic acid, tyrosine, linoleyl carnitine, and sphingomyelin was lower in CD positive diarrhea groups, than in the CD negative group. A linear discriminant analysis model based on capsiamide, dihydrosphingosine, and glycochenodeoxycholic acid was further constructed to identify CD infection in diarrhea. The leave-one-out cross-validation accuracy and area under receiver operating characteristic curve for the training set/external validation set were 90.00/78.57%, and 0.900/0.7917 respectively. CONCLUSIONS: Compared with other hospital-onset diarrhea, CD diarrhea has distinct fecal metabolome characteristics. Our UPLC-MS metabolomics model might be useful tool for diagnosing CD diarrhea"
Keywords:		"Biomarkers Case-Control Studies Chromatography, High Pressure Liquid/*methods Clostridioides difficile/isolation & purification/*pathogenicity Clostridium Infections/*complications/diagnosis/microbiology Diarrhea/*diagnosis/epidemiology/microbiology Feces;"
Notes:		"MedlineZhou, Pengcheng Zhou, Ning Shao, Li Li, Jianzhou Liu, Sidi Meng, Xiujuan Duan, Juping Xiong, Xinrui Huang, Xun Chen, Yuhua Fan, Xuegong Zheng, Yixiang Ma, Shujuan Li, Chunhui Wu, Anhua eng 81601803/National Natural Science Foundation of China/International 31500678/National Science Foundation/International 2017JJ3481/Natural Science Foundation of Hunan Province/International 2017JJ3490/Natural Science Foundation of Hunan Province/International xywm2015I11/Xiangya Sinobio way Health Research Fund/International Research Support, Non-U.S. Gov't 2019/03/05 Metabolomics. 2018 Jul 19; 14(8):102. doi: 10.1007/s11306-018-1397-x"