| 基于组学技术的抑郁症相关生物标志物研究进展 |
| 投稿时间：2017-11-18 修订日期：2018-04-10 点此下载全文 |
| 引用本文：刘世钰,赵亮,陈俊,张国庆.基于组学技术的抑郁症相关生物标志物研究进展[J].药学实践杂志,2018,36(3):198~203 |
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| 中文摘要:近年来，抑郁症的发病率逐年上升，严重危害着人类的身心健康。研究表明，抑郁症发病机制复杂，主要涉及机体的炎症、神经营养和代谢等过程。现今抑郁症的临床诊断缺乏充分的客观依据，药物治疗效果差强人意，因此，生物标志物对于抑郁症的风险预测、分类、诊断以及预后显得尤为重要。近年来，基因组学、转录组学、蛋白质组学、代谢组学等技术快速发展以及它们在疾病诊断方面的广泛应用，为进一步筛选抑郁症相关生物标志物提供了可能。对有关运用组学技术手段研究抑郁症相关生物标志物的研究进展进行综述。 |
| 中文关键词:抑郁症 基因组学 生物标志物 转录组学 蛋白质组学 代谢组学 |
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| Research progress in depression related biomarkers based on omics technology |
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| Abstract:In recent years,the incidences of depression increased year by year due to increased social pressure,which do serious harm to human being both physically and mentally.Studies have shown that the pathogenesis of depression is complicated,mainly related to body's inflammation,neurotrophic and metabolic processes.There were no sufficient objective bases for the clinical diagnosis of depression.The drug treatment result was not satisfactory.Therefore,biomarkers become more and more important in disease risk prediction,classification,diagnosis and prognosis.The rapid developments in genomics,transcriptomics,proteomics,metabolomics and their applications in the diagnosis make it possible to further screen for depression related biomarkers.This article reviewed the research progresses in depression related biomarkers with omics technologies. |
| keywords:depression genomics biomarker transcriptomics proteomics metabolomics |
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