Mengnan Huang1, Huan Zhao1, Shan Gao1, Yijia Liu1, Yuechen Liu1, Tianpu Zhang1, Xuemeng Cai1, Zhu Li1, Lin Li2, Yubo Li3, Chunquan Yu4. 1. Tianjin University of Traditional Chinese Medicine, No. 10, Poyang Lake Road, West Zone, Tuanbo New City, Jinghai District, Tianjin, China. 2. Tianjin University of Traditional Chinese Medicine, No. 10, Poyang Lake Road, West Zone, Tuanbo New City, Jinghai District, Tianjin, China. Electronic address: llbianji@163.com. 3. Tianjin University of Traditional Chinese Medicine, No. 10, Poyang Lake Road, West Zone, Tuanbo New City, Jinghai District, Tianjin, China. Electronic address: yaowufenxi001@sina.com. 4. Tianjin University of Traditional Chinese Medicine, No. 10, Poyang Lake Road, West Zone, Tuanbo New City, Jinghai District, Tianjin, China. Electronic address: ycqtjutcm@foxmail.com.
Abstract
BACKGROUND: Coronary heart disease (CHD) is the leading cause of death worldwide, and its pathogenesis has attracted much attention. Metabolomics serves as an important tool for diagnosing diseases and exploring their pathogenesis in recent years. In this study, CHD patients were studied by comparing them with normal subjects to elucidate biomarkers that are linearly correlated with the severity of coronary stenosis. METHODS: An ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) was used to analyze the urine metabolites of CHD patients and normal subjects. A total of 131 subjects included 27 patients who presented with 50-69% coronary stenosis, 22 with 70-89% stenosis, 29 with 90-99% stenosis, 24 with 100% stenosis, and 29 normal subjects. RESULTS: A total of 14 potential biomarkers associated with CHD were identified, and among them 4 biomarkers were linearly correlated with the severity of coronary stenosis in CHD patients. The metabolic pathways involved were amino acid metabolism, fatty acid metabolism, energy metabolism, and other pathways. CONCLUSION: This study identified the biomarkers and metabolic pathways that may be involved in the occurrence and development of CHD, laying a theoretical foundation for better diagnosis and treatment of CHD in the future.
BACKGROUND:Coronary heart disease (CHD) is the leading cause of death worldwide, and its pathogenesis has attracted much attention. Metabolomics serves as an important tool for diagnosing diseases and exploring their pathogenesis in recent years. In this study, CHD patients were studied by comparing them with normal subjects to elucidate biomarkers that are linearly correlated with the severity of coronary stenosis. METHODS: An ultra performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF/MS) was used to analyze the urine metabolites of CHD patients and normal subjects. A total of 131 subjects included 27 patients who presented with 50-69% coronary stenosis, 22 with 70-89% stenosis, 29 with 90-99% stenosis, 24 with 100% stenosis, and 29 normal subjects. RESULTS: A total of 14 potential biomarkers associated with CHD were identified, and among them 4 biomarkers were linearly correlated with the severity of coronary stenosis in CHD patients. The metabolic pathways involved were amino acid metabolism, fatty acid metabolism, energy metabolism, and other pathways. CONCLUSION: This study identified the biomarkers and metabolic pathways that may be involved in the occurrence and development of CHD, laying a theoretical foundation for better diagnosis and treatment of CHD in the future.