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蛋白质组学分析揭示了类风湿关节炎确诊病例中失调蛋白质的新分子见解。

Proteomic Profiling Reveals Novel Molecular Insights into Dysregulated Proteins in Established Cases of Rheumatoid Arthritis.

作者信息

Masood Afshan, Benabdelkamel Hicham, Alfadda Assim A, Alarfaj Abdurhman S, Fallata Amina, Joy Salini Scaria, Al Mogren Maha, Rahman Anas M Abdel, Siaj Mohamed

机构信息

Proteomics Resource Unit, Obesity Research Center, College of Medicine, King Saud University, Riyadh 11461, Saudi Arabia.

Department of Chemistry and Biochemistry, Université du Québec à Montréal (UQAM), Montreal, QC H2L 2C4, Canada.

出版信息

Proteomes. 2025 Jul 4;13(3):32. doi: 10.3390/proteomes13030032.

Abstract

: Rheumatoid arthritis (RA) is a chronic autoimmune disorder that predominantly affects synovial joints, leading to inflammation, pain, and progressive joint damage. Despite therapeutic advancements, the molecular basis of established RA remains poorly defined. In this study, we conducted an untargeted plasma proteomic analysis using two-dimensional differential gel electrophoresis (2D-DIGE) and matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) in samples from RA patients and healthy controls in the discovery phase. Significantly (ANOVA, ≤ 0.05, fold change > 1.5) differentially abundant proteins (DAPs) were identified. Notably, upregulated proteins included mitochondrial dicarboxylate carrier, hemopexin, and 28S ribosomal protein S18c, while CCDC124, osteocalcin, apolipoproteins A-I and A-IV, and haptoglobin were downregulated. Receiver operating characteristic (ROC) analysis identified CCDC124, osteocalcin, and metallothionein-2 with high diagnostic potential (AUC = 0.98). Proteins with the highest selected frequency were quantitatively verified by multiple reaction monitoring (MRM) analysis in the validation cohort. Bioinformatic analysis using Ingenuity Pathway Analysis (IPA) revealed the underlying molecular pathways and key interaction networks involved STAT1, TNF, and CD40. These central nodes were associated with immune regulation, cell-to-cell signaling, and hematological system development. Our combined proteomic and bioinformatic approaches underscore the involvement of dysregulated immune pathways in RA pathogenesis and highlight potential diagnostic biomarkers. The utility of these markers needs to be evaluated in further studies and in a larger cohort of patients.

摘要

类风湿性关节炎(RA)是一种慢性自身免疫性疾病,主要影响滑膜关节,导致炎症、疼痛和进行性关节损伤。尽管治疗取得了进展,但已确诊的RA的分子基础仍不清楚。在本研究中,我们在发现阶段对RA患者和健康对照的样本进行了非靶向血浆蛋白质组分析,使用二维差异凝胶电泳(2D-DIGE)和基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF-MS)。鉴定出显著(方差分析,P≤0.05,变化倍数>1.5)差异丰富的蛋白质(DAPs)。值得注意的是,上调的蛋白质包括线粒体二羧酸载体、血红素结合蛋白和28S核糖体蛋白S18c,而CCDC124、骨钙素、载脂蛋白A-I和A-IV以及触珠蛋白则下调。受试者工作特征(ROC)分析确定CCDC124、骨钙素和金属硫蛋白-2具有较高的诊断潜力(AUC=0.98)。在验证队列中,通过多反应监测(MRM)分析对选择频率最高的蛋白质进行了定量验证。使用 Ingenuity 通路分析(IPA)的生物信息学分析揭示了涉及 STAT1、TNF 和 CD40 的潜在分子通路和关键相互作用网络。这些中心节点与免疫调节、细胞间信号传导和血液系统发育有关。我们结合蛋白质组学和生物信息学方法强调了免疫通路失调在RA发病机制中的作用,并突出了潜在的诊断生物标志物。这些标志物的实用性需要在进一步的研究和更大的患者队列中进行评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c784/12286002/b2cba8995b0e/proteomes-13-00032-g001.jpg

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