Ziani Paola Rampelotto, Feiten Jacson Gabriel, Goularte Jéferson Ferraz, Colombo Rafael, Antqueviezc Bárbara, Géa Luiza Paul, Rosa Adriane Ribeiro
Laboratory of Molecular Psychiatry, Hospital Clinic of Porto Alegre, Porto Alegre, Brasil.
Postgraduate Program in Biological Sciences: Pharmacology and Therapeutics - Institute of Basic Health Sciences, Federal University of Rio Grande do Sul, Porto Alegre, Brasil.
Clin Psychopharmacol Neurosci. 2022 May 31;20(2):211-227. doi: 10.9758/cpn.2022.20.2.211.
Bipolar disorder (BD) is one of the most disabling diseases characterized by severe humor fluctuation. It is accompanied by cognitive and functional impairment in addiction to high suicide rates. BD is often underdiagnosed and treated incorrectly because many of the reported symptoms are not exclusive to the disorder. Once the diagnosis is exclusively clinical, it is not possible to state precisely. From that, proteomic approaches were used to identify, in a large scale, all proteins involved in cellular or tissue processes. This review aggregate data from blood proteomes, by using protein association network, of subjects with BD and healthy controls to suggest dysfunctional molecular pathways involved in disease. Original articles containing proteomic analysis were searched in PubMed. Seven studies were selected and data were extracted for posterior analysis. A protein-protein interaction network was created by STRING database. A final set of proteins in this network were employed as input in ClueGO and, the main biological process was visualized using R package pathview. The analysis revealed proteins associated with many biological processes, including growth and endocrine regulation, iron transportation, protease inhibition, protection against pathogens and cholesterol transport. Moreover, pathway analysis indicated the association of uncovered proteins with two main metabolic pathways: complement system and coagulation cascade. Thus, a better understanding on the pathophysiology of psychiatric disorders and the identification of potential biomarker candidates are essential to improve diagnostic, prognostic and design pharmacological strategies.
双相情感障碍（BD）是最具致残性的疾病之一，其特征为严重的情绪波动。除了高自杀率外，它还伴有认知和功能损害。BD常常诊断不足且治疗不当，因为许多报告的症状并非该疾病所特有。一旦诊断完全基于临床，就无法精确说明。因此，蛋白质组学方法被用于大规模识别参与细胞或组织过程的所有蛋白质。本综述通过使用蛋白质关联网络，汇总了BD患者和健康对照者血液蛋白质组的数据，以提示与疾病相关的功能失调分子途径。在PubMed中搜索了包含蛋白质组学分析的原始文章。选择了七项研究并提取数据进行后续分析。通过STRING数据库创建了蛋白质-蛋白质相互作用网络。将该网络中的一组最终蛋白质用作ClueGO的输入，并使用R包pathview可视化主要生物学过程。分析揭示了与许多生物学过程相关的蛋白质，包括生长和内分泌调节、铁运输、蛋白酶抑制、病原体防护和胆固醇运输。此外，通路分析表明所发现的蛋白质与两个主要代谢途径相关：补体系统和凝血级联反应。因此，更好地理解精神疾病的病理生理学并识别潜在的生物标志物候选物对于改善诊断、预后和设计药理策略至关重要。
