Muneer Ather
Islamic International Medical College, Riphah International University, Rawalpindi, Pakistan.
Chonnam Med J. 2020 Sep;56(3):166-179. doi: 10.4068/cmj.2020.56.3.166. Epub 2020 Sep 24.
Bipolar disorder (BD) is a severe psychiatric condition which affects innumerable people across the globe. The etiopathogenesis of BD is multi-faceted with genetic, environmental and psychosocial factors playing a role. Hitherto, the diagnosis and management of BD are purely on empirical grounds as we lack confirmed biomarkers for this condition. In this regard, hypothesis-driven investigations have been unable to identify clinically applicable biomarkers, steering the field towards newer technologies. Innovative, state-of-the-art techniques like multiplex immunoassays and mass spectrometry can potentially investigate the entire proteome. By detecting up or down regulated proteins, novel biomarkers are identified and new postulates about the etiopathogenesis of BD are specified. Hence, biological pathways are uncovered which are involved in the initiation and advancement of the disease and new therapeutic targets are identified. In this manuscript, the extant literature is thoroughly reviewed and the latest findings on candidate BD biomarkers are provided, followed by an overview of the proteomic approaches. It was found that due to the heterogeneous nature of BD no single biomarker is feasible, instead a panel of tests is more likely to be useful. With the application of latest technologies, it is expected that validated biomarkers will be discovered which will be useful as diagnostic tools and help in the delivery of individually tailored therapies to the patients.
双相情感障碍(BD)是一种严重的精神疾病,影响着全球无数人。BD的病因发病机制是多方面的,遗传、环境和心理社会因素都发挥着作用。迄今为止,BD的诊断和管理完全基于经验,因为我们缺乏针对这种疾病的确证生物标志物。在这方面,基于假设的研究未能识别出临床适用的生物标志物,从而促使该领域转向更新的技术。诸如多重免疫测定和质谱等创新的、最先进的技术有可能对整个蛋白质组进行研究。通过检测上调或下调的蛋白质,可以识别新的生物标志物,并明确关于BD病因发病机制的新假设。因此,揭示了参与疾病发生和发展的生物途径,并确定了新的治疗靶点。在本手稿中,对现有文献进行了全面综述,并提供了关于BD候选生物标志物的最新发现,随后概述了蛋白质组学方法。研究发现,由于BD的异质性,单一生物标志物不可行,相反,一组检测更有可能有用。随着最新技术的应用,预计将发现经过验证的生物标志物,这些标志物将作为诊断工具有用,并有助于为患者提供个性化定制的治疗。