神经发育的转化意义支撑了精神分裂症中“神经生理-认知”生物标志物。

Translational significance of neurodevelopment underpinned 'neurophysiological-cognitive' biomarkers in schizophrenia.

作者信息

Tikka Sai Krishna

机构信息

Department of Psychiatry, All India Institute of Medical Sciences, Bibinagar, Hyderabad, Telangana, India.

出版信息

Indian J Psychiatry. 2025 May;67(5):482-486. doi: 10.4103/indianjpsychiatry.indianjpsychiatry_310_25. Epub 2025 May 15.

Abstract

Biomarker research helps validate diagnostic entities that are otherwise based on pure clinical sense and prone to subjectivity bias. Biomarker research in the field of schizophrenia and psychoses dates back to more than a century. However, the focus on 'translational' biomarkers in schizophrenia is a more recent one, dating to the turn of the last century. The translational biomarker research in schizophrenia encompasses diagnostic markers, endophenotypes, and theranostic markers. A prime objective of translational biomarkers in schizophrenia is to enhance the field of identification of high-risk states and prevent the onset of illness. The two-hit theory within the neurodevelopmental hypothesis that also takes into account the role of neuroinflammation has by far been the major contributor to the genesis of several translational biomarkers in schizophrenia. Several neurophysiological biomarkers have been identified based on the two-hit theory. Also, identification of electrophysiological biomarkers, specifically electroencephalographic (EEG), both resting state and task-driven, is more feasible in low-cost settings. Furthermore, proof-of-concept trials including the combined use of biomarkers and novel treatment strategies and the use of bioinformatics and computational intelligence for improving theranostics fall under the broad rubric of translational biomarker research in schizophrenia. This oration is a narrative review of various translational biomarkers in schizophrenia with a focus on neurodevelopmentally based cognitive-electrophysiological measures.

摘要

生物标志物研究有助于验证那些原本基于纯粹临床判断且容易受到主观偏差影响的诊断实体。精神分裂症和精神病领域的生物标志物研究可以追溯到一个多世纪以前。然而,对精神分裂症中“转化型”生物标志物的关注则是更近的事情,可追溯到上世纪之交。精神分裂症的转化型生物标志物研究包括诊断标志物、内表型和治疗诊断标志物。精神分裂症转化型生物标志物的一个主要目标是加强高危状态的识别领域并预防疾病的发作。神经发育假说中的双打击理论也考虑到了神经炎症的作用,到目前为止,它一直是精神分裂症中几种转化型生物标志物产生的主要因素。基于双打击理论已经确定了几种神经生理学生物标志物。此外,在低成本环境中,识别电生理学生物标志物,特别是静息状态和任务驱动的脑电图(EEG)生物标志物,更为可行。此外,包括生物标志物与新型治疗策略联合使用以及利用生物信息学和计算智能来改善治疗诊断的概念验证试验,都属于精神分裂症转化型生物标志物研究的广泛范畴。本次演讲是对精神分裂症中各种转化型生物标志物的叙述性综述,重点关注基于神经发育的认知 - 电生理测量。

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