Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Center for Precision Health, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, USA; Human Genetics Center, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX 77030, USA; Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA; MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX 77030, USA.
Eur Neuropsychopharmacol. 2022 Aug;61:43-59. doi: 10.1016/j.euroneuro.2022.06.001. Epub 2022 Jun 25.
Schizophrenia (SZ), bipolar disorder (BD), and major depressive disorder (MDD) are major mental disorders that affect a significant proportion of the global population. Advancing our knowledge of the pathophysiology of these disorders and identifying biomarkers are urgent needs for developing objective diagnostic tests and new therapeutics. In this study, we performed a systematic review and then extracted, curated, and analyzed proteomics data from published studies, aiming to assess the proteome in peripheral blood of individuals with SZ, BD, or MDD. Then, we performed pathway and network analyses to illuminate the biological themes concatenated by the differentially expressed proteins by systematically interrogating the literature to uncover biological pathways with more robust biological meaning. We identified 486 differentially expressed proteins from 51 studies across the three disorders with 9,423 participants. The great majority of pathways were common to SZ, BD, and MDD. They were related to the immune system, including signaling by interleukins, Toll-like receptor signaling pathway, and complement cascade, and to signal transduction, notably MAPK1/MAPK3 signaling, PI3K-Akt Signaling Pathway, Focal Adhesion-PI3K-Akt-mTOR-signaling, rhodopsin-like receptors, GPCR signaling, and the JAK-STAT signaling pathway. Other shared pathways included advanced glycosylation end-product receptor signaling, Regulation of Insulin-like Growth Factor, cholesterol metabolism, and IL-17 signaling pathway. Pathways shared between SZ and BD were integrin cell-surface interactions, GRB2:SOS provides linkage to MAPK signaling for integrins, and syndecan interactions. Shared between BD and MDD were the NRF2 pathway and signaling by EGFR pathways. Our findings advance our understanding of the protein variations and associations with these disorders, which are useful for accelerating biomarker development and drug discovery.
精神分裂症(SZ)、双相情感障碍(BD)和重度抑郁症(MDD)是影响全球很大一部分人群的主要精神障碍。深入了解这些疾病的病理生理学并确定生物标志物是开发客观诊断测试和新疗法的迫切需要。在这项研究中,我们进行了系统评价,然后从已发表的研究中提取、整理和分析蛋白质组学数据,旨在评估 SZ、BD 或 MDD 个体外周血中的蛋白质组。然后,我们进行了途径和网络分析,通过系统地查阅文献来阐明由差异表达蛋白串联的生物学主题,以揭示具有更稳健生物学意义的生物学途径。我们从 51 项研究中确定了 486 种差异表达蛋白,涉及 9423 名参与者。绝大多数途径在 SZ、BD 和 MDD 中是共同的。它们与免疫系统有关,包括白细胞介素信号、Toll 样受体信号通路和补体级联,以及信号转导,特别是 MAPK1/MAPK3 信号通路、PI3K-Akt 信号通路、焦点粘附-PI3K-Akt-mTOR 信号通路、视紫红质样受体、GPCR 信号通路和 JAK-STAT 信号通路。其他共同的途径包括晚期糖基化终产物受体信号通路、胰岛素样生长因子的调节、胆固醇代谢和 IL-17 信号通路。SZ 和 BD 之间共享的途径包括整合素细胞表面相互作用、GRB2:SOS 为整合素提供 MAPK 信号通路的链接以及 syndecan 相互作用。BD 和 MDD 之间共享的途径包括 NRF2 途径和 EGFR 途径的信号通路。我们的研究结果提高了我们对这些疾病中蛋白质变异和关联的理解,这对于加速生物标志物的开发和药物发现非常有用。