Gangachannaiah Shivaprakash, Shenoy Smita, Upadhya Dinesh, Stanly Elstin Anbu Raj, Gudi Nachiket, Lakshmi Chandrashekar Pallavi, Praharaj Samir Kumar
Department of Pharmacology, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Centre for Molecular Neuroscience, Kasturba Medical College, Manipal, Manipal Academy of Higher Education, Manipal, 576104, Karnataka, India.
Schizophrenia (Heidelb). 2025 Feb 12;11(1):17. doi: 10.1038/s41537-025-00566-5.
The diagnosis of schizophrenia (SCZ) primarily relies on clinical history and mental status assessments by trained professionals. There has been a search for biomarkers to facilitate laboratory diagnosis. Since extracellular vesicles (EVs) communicate with brain cells and can easily cross blood-brain barrier, there is increased interest among experts to explore them as potential molecular signals for disease detection. A scoping review was conducted to provide a comprehensive summary of the existing literature to identify the differentially expressed molecular signals in EVs isolated from SCZ patients. The methodological framework outline provided by Arksey and O'Malley was employed to conduct this scoping review. A systematic search was conducted using a search string across four databases, ultimately leading to selection of 24 relevant studies. Over 1122 differentially expressed biomolecules were identified in EVs extracted from biological fluids and tissues that can be primarily categorized as RNAs, proteins, and metabolites. Among them, 83 biomolecules were identified as validated differentially expressed molecular signals, which included metabolites, circRNAs, lncRNAs, miRNAs, and proteins. These biomolecules were found to affect cellular receptors and intracellular pathways, neurotransmitters, mitochondrial functions, immune-related functions, and metabolic pathways, which could serve as potential biomarkers for SCZ diagnosis.
精神分裂症(SCZ)的诊断主要依赖于训练有素的专业人员的临床病史和精神状态评估。人们一直在寻找生物标志物以促进实验室诊断。由于细胞外囊泡(EVs)可与脑细胞进行通讯并且能够轻松穿过血脑屏障,专家们对将其作为疾病检测的潜在分子信号进行探索的兴趣日益浓厚。开展了一项范围综述,以全面总结现有文献,确定从SCZ患者分离的EVs中差异表达的分子信号。采用了Arksey和O'Malley提供的方法框架来进行这项范围综述。使用检索式在四个数据库中进行了系统检索,最终筛选出24项相关研究。在从生物流体和组织中提取的EVs中鉴定出超过1122种差异表达的生物分子,这些生物分子主要可分为RNA、蛋白质和代谢物。其中,83种生物分子被鉴定为经过验证的差异表达分子信号,包括代谢物、环状RNA、长链非编码RNA、微小RNA和蛋白质。这些生物分子被发现会影响细胞受体和细胞内途径、神经递质、线粒体功能、免疫相关功能以及代谢途径,它们有可能作为SCZ诊断的潜在生物标志物。