Biomarkers for Depression: A Detailed View

Anil Batta
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Abstract

A plethora of research has implicated hundreds of putative biomarkers for depression but has not yet fully elucidated their roles in depressive illness or established what is abnormal in which patients and how biologic information can be used to enhance diagnosis, treatment, and prognosis. This lack of progress is partially due to the nature and heterogeneity of depression, in conjunction with methodological heterogeneity within the research literature and the large array of biomarkers with potential, the expression of which often varies according to many factors. We review the available literature, which indicates that markers involved in inflammatory, neurotrophic, and metabolic processes, as well as neurotransmitter and neuroendocrine system components, represent highly promising candidates. These may be measured through genetic and epigenetic, transcriptomic and proteomic, metabolomic, and neuroimaging assessments. The use of novel approaches and systematic research programs is now required to determine whether, and which, biomarkers can be used to predict response to treatment, stratify patients to specific treatments, and develop targets for new interventions. We conclude that there is much promise for reducing the burden of depression through further developing and expanding these research avenues.
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抑郁症的生物标志物详解
大量研究发现了数以百计的抑郁症潜在生物标志物,但尚未完全阐明它们在抑郁症中的作用,也未确定哪些患者会出现异常,以及如何利用生物信息来加强诊断、治疗和预后。缺乏进展的部分原因在于抑郁症的性质和异质性,以及研究文献中方法的异质性和大量具有潜力的生物标志物,这些生物标志物的表达往往因多种因素而异。我们回顾了现有的文献,发现涉及炎症、神经营养和新陈代谢过程以及神经递质和神经内分泌系统成分的标记物是非常有潜力的候选标记物。这些指标可通过遗传学和表观遗传学、转录组学和蛋白质组学、代谢组学和神经影像学评估进行测量。现在需要使用新的方法和系统的研究计划来确定生物标志物是否可用于预测治疗反应、对患者进行特定治疗分层以及开发新的干预目标。我们的结论是,通过进一步发展和扩大这些研究途径,减轻抑郁症的负担大有希望。
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