Limiao Jiang1, Jing Wang2, Rui Li2, Ze-Min Fang2, Xue-Hai Zhu2,3,4,5, Xin Yi6,7,8, Hongwen Lan2, Xiang Wei2,3,4,5, Ding-Sheng Jiang9,10,11,12. 1. Department of Epidemiology and Biostatistics, MOE Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, 13 Hangkong Road, Wuhan, 430030, China. limiao_jiang@hust.edu.cn. 2. Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China. 3. Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China. 4. NHC Key Laboratory of Organ Transplantation, Wuhan, China. 5. Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China. 6. Department of Cardiology, Renmin Hospital of Wuhan University, Wuhan, 430060, China. 7. Cardiovascular Research Institute, Wuhan University, Wuhan, 430060, China. 8. Hubei Key Laboratory of Cardiology, Wuhan, 430060, China. 9. Division of Cardiothoracic and Vascular Surgery, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1095 Jiefang Ave., Wuhan, 430030, China. jds@hust.edu.cn. 10. Key Laboratory of Organ Transplantation, Ministry of Education, Wuhan, China. jds@hust.edu.cn. 11. NHC Key Laboratory of Organ Transplantation, Wuhan, China. jds@hust.edu.cn. 12. Key Laboratory of Organ Transplantation, Chinese Academy of Medical Sciences, Wuhan, China. jds@hust.edu.cn.
Abstract
INTRODUCTION: Mitral valve disease (MVD), including mitral valve regurgitation (MR) and mitral valve stenosis (MS), is a chronic and progressive cardiac malady. However, the metabolic alterations in MVD is not well-understood till now. The current gold standard diagnostic test, transthoracic echocardiography, has limitations on high-throughput measurement and lacks molecular information for early diagnosis of the disease. OBJECTIVE: The present study aimed to investigate the biochemical alterations and to explore their diagnostic potential for MVD. METHODS: Plasma metabolic profile derangements and their diagnostic potential were non-invasively explored in 34 MR and 20 MS patients against their corresponding controls, using high-throughput NMR-based untargeted metabolomics. RESULTS: Eighteen differential metabolites were identified for MR and MS patients respectively, on the basis of multivariate and univariate data analysis, which were mainly involved in energy metabolism, amino acid metabolism, calcium metabolism and inflammation. These differential metabolites, notably the significantly down-regulated formate and lactate, showed high diagnostic potential for MVD by using Spearman's rank-order correlation analysis and ROC analysis. CONCLUSIONS: To the best of our knowledge, the present study is the first one that explores the metabolic derangements and their diagnostic values in MVD patients using metabolomics. The findings indicated that metabolic disturbance occurred in MVD patients, with plasma formate and lactate emerged as important candidate biomarkers for MVD.
INTRODUCTION:Mitral valve disease (MVD), including mitral valve regurgitation (MR) and mitral valve stenosis (MS), is a chronic and progressive cardiac malady. However, the metabolic alterations in MVD is not well-understood till now. The current gold standard diagnostic test, transthoracic echocardiography, has limitations on high-throughput measurement and lacks molecular information for early diagnosis of the disease. OBJECTIVE: The present study aimed to investigate the biochemical alterations and to explore their diagnostic potential for MVD. METHODS: Plasma metabolic profile derangements and their diagnostic potential were non-invasively explored in 34 MR and 20 MSpatients against their corresponding controls, using high-throughput NMR-based untargeted metabolomics. RESULTS: Eighteen differential metabolites were identified for MR and MSpatients respectively, on the basis of multivariate and univariate data analysis, which were mainly involved in energy metabolism, amino acid metabolism, calcium metabolism and inflammation. These differential metabolites, notably the significantly down-regulated formate and lactate, showed high diagnostic potential for MVD by using Spearman's rank-order correlation analysis and ROC analysis. CONCLUSIONS: To the best of our knowledge, the present study is the first one that explores the metabolic derangements and their diagnostic values in MVD patients using metabolomics. The findings indicated that metabolic disturbance occurred in MVD patients, with plasma formate and lactate emerged as important candidate biomarkers for MVD.
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