Analysis of mononuclear cell biomarkers for different types of depressive disorders based on data-independent acquisition proteomics technology
10.3760/cma.j.cn371468-20240904-00407
- VernacularTitle:基于数据非依赖采集定量蛋白质组学技术分析不同类型抑郁障碍单核细胞生物标志物
- Author:
Zhuhua LIU
1
;
Panpan HAN
;
Zihua LI
;
Liping MIN
Author Information
1. 宁夏医科大学总医院心理卫生中心，银川 750003
- Publication Type:Journal Article
- Keywords:
Depressive disorders;
Data-independent acquisition;
Proteomics;
Biomarkers;
Precision medicine
- From:
Chinese Journal of Behavioral Medicine and Brain Science
2025;34(3):236-244
- CountryChina
- Language:Chinese
-
Abstract:
Objective: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.
