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

IF 3.6 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Afshan Masood, Hicham Benabdelkamel, Assim A Alfadda, Abdurhman S Alarfaj, Amina Fallata, Salini Scaria Joy, Maha Al Mogren, Anas M Abdel Rahman, Mohamed Siaj
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Abstract

Background: 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. Methods: 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. Results: Significantly (ANOVA, p ≤ 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. Conclusions: 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.

蛋白质组学分析揭示了类风湿性关节炎病例中失调蛋白的新分子见解。
背景:类风湿关节炎(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。尽管治疗取得了进步,但已建立的RA的分子基础仍然不明确。方法:在本研究中,我们使用二维差分凝胶电泳(2D-DIGE)和基质辅助激光解吸/电离飞行时间质谱(MALDI-TOF-MS)对发现阶段的RA患者和健康对照样本进行了非靶向血浆蛋白质组学分析。结果:鉴定出差异丰富蛋白(DAPs),差异方差分析(ANOVA, p≤0.05,fold change bbb1.5)具有显著性意义。值得注意的是,上调的蛋白包括线粒体二羧酸载体、血凝素和28S核糖体蛋白S18c,而下调的蛋白包括CCDC124、骨钙素、载脂蛋白A-I和A-IV以及触珠蛋白。受试者工作特征(ROC)分析发现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,通过多重反应监测(MRM)分析定量验证选择频率最高的蛋白质。生物信息学分析使用独创性途径分析(IPA)揭示了潜在的分子途径和关键的相互作用网络涉及STAT1, TNF和CD40。这些中心淋巴结与免疫调节、细胞间信号传导和血液系统发育有关。结论:我们结合蛋白质组学和生物信息学方法强调了RA发病过程中免疫通路失调的参与,并强调了潜在的诊断生物标志物。这些标志物的效用需要在进一步的研究和更大的患者队列中进行评估。
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来源期刊
Proteomes
Proteomes Biochemistry, Genetics and Molecular Biology-Clinical Biochemistry
CiteScore
6.50
自引率
3.00%
发文量
37
审稿时长
11 weeks
期刊介绍: Proteomes (ISSN 2227-7382) is an open access, peer reviewed journal on all aspects of proteome science. Proteomes covers the multi-disciplinary topics of structural and functional biology, protein chemistry, cell biology, methodology used for protein analysis, including mass spectrometry, protein arrays, bioinformatics, HTS assays, etc. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. Therefore, there is no restriction on the length of papers. Scope: -whole proteome analysis of any organism -disease/pharmaceutical studies -comparative proteomics -protein-ligand/protein interactions -structure/functional proteomics -gene expression -methodology -bioinformatics -applications of proteomics
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