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抑郁症的生物标志物:最新见解、当前挑战及未来前景

Biomarkers for depression: recent insights, current challenges and future prospects.

作者信息

Strawbridge Rebecca, Young Allan H, Cleare Anthony J

机构信息

Centre for Affective Disorders, Department of Psychological Medicine, Institute of Psychiatry, Psychology and Neuroscience, King's College London.

South London and Maudsley NHS Foundation Trust, London, UK.

出版信息

Neuropsychiatr Dis Treat. 2017 May 10;13:1245-1262. doi: 10.2147/NDT.S114542. eCollection 2017.

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.

摘要

大量研究已涉及数百种假定的抑郁症生物标志物,但尚未充分阐明它们在抑郁症中的作用,也未确定哪些患者存在何种异常,以及生物信息如何用于改善诊断、治疗和预后。进展不足部分归因于抑郁症的性质和异质性,以及研究文献中的方法学异质性和大量具有潜力的生物标志物,其表达往往因多种因素而异。我们回顾了现有文献,这些文献表明,参与炎症、神经营养和代谢过程的标志物,以及神经递质和神经内分泌系统成分,是非常有前景的候选标志物。这些标志物可通过基因和表观遗传学、转录组学和蛋白质组学、代谢组学和神经影像学评估来测量。现在需要采用新方法和系统研究计划,以确定是否以及哪些生物标志物可用于预测治疗反应、将患者分层至特定治疗以及开发新干预措施的靶点。我们得出结论,通过进一步发展和拓展这些研究途径,减轻抑郁症负担大有希望。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b668/5436791/74d0e0baffdd/ndt-13-1245Fig1.jpg

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