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精神分裂症生物标志物:将描述性内容转化为诊断依据。

Schizophrenia biomarkers: translating the descriptive into the diagnostic.

作者信息

Pickard Benjamin S

机构信息

Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, Glasgow, UK

出版信息

J Psychopharmacol. 2015 Feb;29(2):138-43. doi: 10.1177/0269881114566631. Epub 2015 Jan 19.

Abstract

While schizophrenia and mental health are qualitatively distinct at the level of clinical presentation, the specific molecular signatures that underlie, or associate with, illness are not. Biomarker identification in schizophrenia is intended to offer a number of important benefits to patient well-being including prediction of future illness, diagnostic clarity and a level of disease description that would guide treatment choice. However, the choice of sample and form of analysis used to produce useful biomarkers is still uncertain. In this review, advances from recent studies spanning the technical spectrum are presented together with comment on their comparative strengths and weaknesses. To date, these studies have aided our understanding of the pathological processes associated with illness much more than they have provided robust biomarkers. A number of reasons for this observation are suggested, as are new strategies for the extraction of biomarkers from large '-omics' datasets.

摘要

虽然精神分裂症和心理健康在临床表现层面存在质的差异,但构成疾病基础或与之相关的特定分子特征并非如此。精神分裂症生物标志物的识别旨在为患者的健康带来诸多重要益处,包括对未来疾病的预测、诊断的清晰度以及能够指导治疗选择的疾病描述水平。然而,用于产生有用生物标志物的样本选择和分析形式仍不明确。在本综述中,展示了近期涵盖技术范围的研究进展,并对其相对优势和劣势进行了评论。迄今为止,这些研究对我们理解与疾病相关的病理过程的帮助远大于提供可靠的生物标志物。文中提出了这一观察结果的一些原因,以及从大型“组学”数据集中提取生物标志物的新策略。

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