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作 者:杨玉先 张帆[2] 崔庆华[3] 赵冬[1] YANG Yuxian;ZHANG Fan;CUI Qinghua;ZHAO Dong(Beijing Key Ijahoratory of Diabetes Research and Care,Center for Endocrine Metabolism and Immune Diseases,Luhe Hospital of Capital Medical University,Beijing 101149,China;Department of Geratology,Third Hospital of Peking University,Beijing 100191,China;Department of Biomedical Informatics,Center for Noncoding RNA Medicine,School of Basic Medical Sciences,Peking University,Beijing 100191,China)
机构地区:[1]首都医科大学附属北京潞河医院内分泌代谢与免疫性疾病中心糖尿病防治重点实验室,北京市101149 [2]北京大学第三医院老年内科,北京市100191 [3]北京大学基础医学院医学生物信息学系,北京市100191
出 处:《中国动脉硬化杂志》2020年第3期185-192,共8页Chinese Journal of Arteriosclerosis
基 金:国家自然科学基金资助项目(81670462)。
摘 要:动脉粥样硬化(As)是一种慢性炎症性疾病,是心脑血管疾病共同的病理基础,但其病理过程复杂,分子水平发病机制尚不清楚。近几年,基因芯片、蛋白芯片、高通量测序、代谢组学等技术的广泛应用,有助于进一步了解其分子机制,探索新的As基因和靶点。而生物信息学的快速发展,使得数目庞大、结构复杂的生物信息得以获取并利用,并从中挖掘出有价值的医学信息,揭示了一些复杂的生物学过程和病理状态,其中As的分子水平发病机制逐渐被认识,包括As基因组学、蛋白质组学、代谢组学及药物靶点预测等,揭示了炎症反应、免疫应答、氧化磷酸化、脂代谢异常及能量循环异常与As发病高度相关。本综述将从以上方面对生物信息学在As研究中的应用展开讨论。Atherosclerosis(As)is a chronic inflammatory disease,which is the common pathological basis of many cardiovascular and cerebrovascular diseases.But the pathological procedure involved is complicated,and the molecular mechanism is still unclear.In recent years,microarray,proteomics,High-throughput sequencing and metabolomics are used widely,helping us further understand the molecular mechanism.At the same time,the rapid development of bioinformatics largely speeds up the requirement and analysis of biomedical data.Among this,the pathogenesis of atherosclerosis is gradually recognized,including atherosclerosis genomics,proteomics,metabonomic and drug target prediction and so on.This revealed that inflammation,immunity,oxidative phosphorylation,lipid metabolism and energy dysfunction were highly correlated with the pathogenesis of atherosclerosis.This review will discuss the applications of bioinformatics in As.
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