摘要
冠心病(CHD)是心血管疾病的重要分支,也是心血管疾病导致死亡的主要原因。随着基因检测技术的快速发展,依托各组学技术研究可以获取CHD遗传信息,从而进行CHD的预测、诊断、治疗。基于多组学的相互交融,可以深入研究CHD的遗传基础,进行风险预测及目标识别,进而降低CHD的患病率及死亡率。CHD转录组学研究已发现该疾病的早期诊断生物标志物并经临床研究验证,而CHD多组学研究也将对CHD疾病机制进行多维度解读。在总结前人的CHD相关成果基础上,构建并整合基因库、转录组学库、蛋白质组学库等融合分析可以为遗传研究提供借鉴,探索新方向,实现新突破。CHD多组学分析能够进一步明确CHD疾病遗传机制并提供风险评估。尽管CHD的不同组学已经有相关研究报道,然而多组学联合分析尚未进行深入研究探讨。本文将统筹多组学对CHD疾病进行深入探讨。
Coronary heart disease(CHD)is an important branch of cardiovascular diseases and the main cause of death caused by cardiovascular diseases.With the rapid development of gene detection technology,the genetic information of CHD can be obtained based on each omics technology so as to predict,diagnose and treat CHD.Based on the integration of multiple omics,the genetic basis of CHD can be studied further for risk prediction and target identification,thus reducing the prevalence and mortality of CHD.Transcriptomic studies of CHD have identified biomarkers for the early diagnosis of CHD and have been validated in clinical studies.Multi-omics studies of CHD will provide a multi-dimensional interpretation of the mechanisms of CHD.Based on summarizing predecessors CHD-related achievements,new directions are explored to construct and integrate the fusion analysis of CHD gene bank,transcriptomic bank,proteomics bank,and so on to provide a reference for genetic research.Multi-omics analysis of CHD can further clarify the genetic mechanism of CHD and provide risk assessment.Although multi-omics studies of CHD have been reported,the combined analysis of multi-omics has not been explored in depth.In this study,we will conduct an in-depth study of CHD by integrating multi-omics.
作者
张炜林
曹宇
蒋立虹
ZHANG Weilin;CAO Yu;JIANG Lihong(School of Medicine,Kunming University of Science and Technology,Kunming 650500,China;Department of Cardiovascular Surgery,First People's Hospital of Yunnan Province,Kunming 650032,China)
出处
《空军军医大学学报》
CAS
2022年第2期249-254,共6页
Journal of Air Force Medical University
基金
国家自然科学基金(81960068,81760059)
云南省基础研究计划项目(昆医联合专项)[2018FE001(-181)]。
关键词
冠心病
多组学整合分析
动脉粥样硬化
风险预测
coronary heart disease
combined analysis of multi-omics
atherosclerosis
risk prediction