摘要目的:比较不同类型抑郁障碍患者与正常人外周血单核细胞中显著差异表达的蛋白，探寻具有诊断意义的客观生物标志物。方法:2024年3月至5月从宁夏医科大学总医院心理卫生中心门诊收集双相-抑郁发作患者(BP组)、单纯抑郁患者(DEP组)、恶劣心境患者(PDD组)和正常人(NP组)的外周血样本。利用数据非依赖采集(DIA)定量蛋白质组学技术寻找在不同类型抑郁障碍患者和正常人外周血中存在的差异表达蛋白，对其进行生物信息学分析获得候选客观生物标志物，筛选确定不同类型抑郁障碍共有及特有的客观生物标志物。数据分析采用R软件(version 4.0)和SPSS 27.0软件。结果:BP组与NP组共筛选出167个差异表达蛋白，DEP组与NP组共筛选出30个差异表达蛋白，PDD组与NP组共筛选出14个差异表达蛋白。BP组特有的差异蛋白是ARPC4、SPARC、MTPN、SNCA、YWHAH、MIF、COTL1；DEP组特有的差异蛋白是RBBP9、APOF、S100A6；PDD组特有的差异蛋白是APOA5、CA1、IGLV3-25、APOC2。结论:利用DIA定量蛋白质组学技术获得的客观生物标志物及其涉及的信号通路对揭示不同类型抑郁障碍的生物学基础和精准诊断不同类型抑郁障碍具有重要意义。

abstractsObjective:To compare the significantly differentially expressed proteins in peripheral blood mononuclear cells between patients with different types of depressive disorders and normal participants and explore objective biomarkers with diagnostic significance.Methods:From March to May 2024, peripheral blood samples were collected from bipolar depression (BP), simple depression (DEP), persistent depressive disorder (PDD), and normal participants (NP) at the outpatient department of the Mental Health Center of Ningxia Medical University General Hospital. Using data-independent acquisition (DIA) quantitative proteomics technology, differentially expressed proteins were identified in the peripheral blood of patients with different types of depressive disorders and normal participants, conducting bioinformatics analysis to obtain candidate objective biomarkers, and finally identifying common and unique objective biomarkers for different types of depressive disorders. Data analysis was conducted using R software (version 4.0) and SPSS 27.0 software.Results:A total of 167 differentially expressed proteins were screened between BP and NP, 30 differentially expressed proteins were screened between DEP and NP, and 14 differentially expressed proteins were screened between PDD and NP.The differential proteins unique to the BP group were ARPC4 SPARC、MTPN、SNCA、YWHAH、MIF、COTL1, the differentially expressed proteins unique to the DEP group were RBBP9 APOF、S100A6, and the unique differential proteins in the PDD group were APOA5 CA1、IGLV3-25、APOC2.Conclusion:The objective biomarkers and signaling pathways obtained using DIA quantitative proteomics technology are of great significance for revealing the biological basis and diagnosing accurately of different types of depressive disorders.