Tie Zhang1, Jing Xu2, Yang Liu3, Jia Liu4,5,6. 1. Laboratory of China-Japan Friendship Hospital, Sakura Garden East Street, Beijing, 100029, People's Republic of China. 2. Department of Echocadiography, The First Hospital of JiLin University, 71 Xinmin Street, Changchun, 132200, People's Republic of China. 3. Department of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China. ly0629@bjmu.edu.cn. 4. Department of Pathology, Institute of Systems Biomedicine, School of Basic Medical Sciences, Beijing Key Laboratory of Tumor Systems Biology, Peking University Health Science Center, 38 Xueyuan Road, Beijing, 100191, People's Republic of China. liujia894@gmail.com. 5. School of Resources and Chemical Engineering, Sanming University, Sanming, Fujian, People's Republic of China. liujia894@gmail.com. 6. Fujian Engineering Research Center for Advanced Fluorine-Containing Materials, Sanming, Fujian, People's Republic of China. liujia894@gmail.com.
Abstract
INTRODUCTION: Dermatomyositis (DM) is a rare autoimmune myopathy characterized by skin lesions, proximal muscle weakness and muscle inflammation. The pathogenesis of DM is unclear, and identification of reliable biomarkers for early diagnosis of DM is critical for design of a specific therapy for this disease. OBJECTIVES: To find and identify potential serum biomarkers in DM patients. METHODS: We performed an untargeted metabolomic approach using UHPLC-MS/MS. The blood serum metabolomic profiles of 26 DM patients and 26 healthy controls were collected. Multivariate analysis of the metabolomic profile was applied to differentiate DM patients and controls and to find potential biomarkers. RESULTS: A significantly disturbed metabolic profile of DM patients was observed. Pathway analysis showed that aminoacyl-tRNA biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis, and nitrogen metabolism are the most prominently altered pathways in DM. Receiver operating characteristic curve indicated that glutamine, methionine, isoleucine, tryptophan, glutamic acid, indole, protocatechuic acid, and phenylalanine were potential biomarkers for DM diagnosis in terms of both sensitivity and specificity. CONCLUSIONS: Our study provides new insight into underlying mechanisms of DM, and we suggest that we should pay more attention to these metabolic pathways in the prevention and treatment of DM.
INTRODUCTION:Dermatomyositis (DM) is a rare autoimmune myopathy characterized by skin lesions, proximal muscle weakness and muscle inflammation. The pathogenesis of DM is unclear, and identification of reliable biomarkers for early diagnosis of DM is critical for design of a specific therapy for this disease. OBJECTIVES: To find and identify potential serum biomarkers in DMpatients. METHODS: We performed an untargeted metabolomic approach using UHPLC-MS/MS. The blood serum metabolomic profiles of 26 DMpatients and 26 healthy controls were collected. Multivariate analysis of the metabolomic profile was applied to differentiate DMpatients and controls and to find potential biomarkers. RESULTS: A significantly disturbed metabolic profile of DMpatients was observed. Pathway analysis showed that aminoacyl-tRNA biosynthesis, phenylalanine, tyrosine and tryptophan biosynthesis, and nitrogen metabolism are the most prominently altered pathways in DM. Receiver operating characteristic curve indicated that glutamine, methionine, isoleucine, tryptophan, glutamic acid, indole, protocatechuic acid, and phenylalanine were potential biomarkers for DM diagnosis in terms of both sensitivity and specificity. CONCLUSIONS: Our study provides new insight into underlying mechanisms of DM, and we suggest that we should pay more attention to these metabolic pathways in the prevention and treatment of DM.
Authors: S Bernatsky; L Joseph; C A Pineau; P Bélisle; J F Boivin; D Banerjee; A E Clarke Journal: Ann Rheum Dis Date: 2008-08-19 Impact factor: 19.103
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