| 程思,庞元捷,吕筠,余灿清,孙点剑一,李立明.代谢组学在心血管代谢疾病病因研究中的应用进展[J].Chinese journal of Epidemiology,2023,44(1):157-164 |
| 代谢组学在心血管代谢疾病病因研究中的应用进展 |
| A metabolomic approach to investigate the etiology of cardiometabolic diseases: recent advances and applications |
| Received:June 14, 2022 |
| DOI：10.3760/cma.j.cn112338-20220614-00531 |
| KeyWord: 代谢组学 心血管代谢疾病 糖尿病 |
| English Key Word: Metabolomics Cardiometabolic disease Diabetes |
| FundProject:国家自然科学基金（82192901，82192904，82192900）；北大医学青年科技创新培育基金（BMU2022PY014） |
| Author Name | Affiliation | E-mail | | Cheng Si | Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China | | | Pang Yuanjie | Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China | ypang@bjmu.edu.cn | | Lyu Jun | Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China | | | Yu Canqing | Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China | | | Sun Dianjianyi | Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China | | | Li Liming | Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing 100191, China | |
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| Abstract: |
| 代谢组学是采用高通量组学技术对所有代谢物进行鉴定和定量的生命科学研究，近年来在心血管代谢疾病的病因研究中得到广泛应用。作为系统流行病学的一个重要组成部分，代谢组学从代谢改变的视角提供了病因探索的新思路。代谢组学的研究问题包括分析代谢物与心血管代谢疾病的关联、发现新型生物标志物和构建疾病风险预测模型等。本文从物质类别出发详细介绍代谢组学在2型糖尿病、心血管疾病、高血压和亚临床动脉粥样硬化病因研究中的应用进展，并提出展望。 |
| English Abstract: |
| Metabonomics is a life science research that uses high-throughput omics technology to identify and quantify all metabolites and has been widely used to examine the etiology of cardiometabolic diseases in recent years. As a significant component of systemic epidemiology, metabolomics provides insights into disease etiology from the perspective of metabolic changes. Research questions of metabolomics include assessing the associations of metabolites with cardiometabolic diseases, discovering novel biomarkers, and constructing risk prediction models. This article reviews the applications of metabolomics in the etiological research on type 2 diabetes, cardiovascular disease, hypertension, and subclinical atherosclerosis, as well as recent advance and future perspectives. |
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