整合代谢组学与基因组学：心血管疾病生物标志物及发病机制的系统研究方法
Integrated metabolomics and genomics: systems approaches to biomarkers and mechanisms of cardiovascular disease.
作者信息
Shah Svati H, Newgard Christopher B
机构信息
From the Duke Molecular Physiology Institute (S.H.S., C.B.N.), Division of Cardiology, Department of Medicine (S.H.S., C.B.N.), Department of Pharmacology and Cancer Biology and Division of Endocrinology, Department of Medicine, and the Sarah W. Stedman Nutrition and Metabolism Center (C.B.N.), Duke University, Durham, NC.
出版信息
Circ Cardiovasc Genet. 2015 Apr;8(2):410-9. doi: 10.1161/CIRCGENETICS.114.000223.
Abstract
The genetic architecture underlying the heritability of cardiovascular disease is incompletely understood. Metabolomics is an emerging technology platform that has shown early success in identifying biomarkers and mechanisms of common chronic diseases. Integration of metabolomics, genetics, and other omics platforms in a systems biology approach holds potential for elucidating novel genetic markers and mechanisms for cardiovascular disease. We review important studies that have used metabolomic profiling in cardiometabolic diseases, approaches for integrating metabolomics with genetics and other molecular profiling platforms, and key studies showing the potential for such studies in deciphering cardiovascular disease genetics, biomarkers, and mechanisms.
摘要
心血管疾病遗传力背后的遗传结构尚未完全明确。代谢组学是一个新兴的技术平台，已在识别常见慢性病的生物标志物和机制方面初显成效。采用系统生物学方法将代谢组学、遗传学及其他组学平台整合起来，有望阐明心血管疾病新的遗传标志物和机制。我们综述了在心脏代谢疾病中运用代谢组学分析的重要研究、代谢组学与遗传学及其他分子分析平台的整合方法，以及显示此类研究在解析心血管疾病遗传学、生物标志物和机制方面潜力的关键研究。
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