Unitat de Recerca de Lípids i Arteriosclerosi, Facultat de Medicina, Universitat Rovira i Virgili, Sant Llorenç 21, Reus, 43201, Spain.
Institut d'Investigació Sanitària Pere Virgili (IISPV), Reus, 43007, Spain.
Sci Rep. 2024 Nov 2;14(1):26471. doi: 10.1038/s41598-024-77772-1.
Rheumatoid arthritis (RA) is a chronic autoimmune disease that causes joint pain and disability. The connection between RA and cardiovascular (CV) disease is still being studied. This research aims to explore the relationship between CV-related microRNAs, inflammation, and glycosylated proteins to understand RA's inflammatory pathophysiology concerning CV disease. The study included 219 RA patients, 82 with metabolic disorders, and 64 controls. Clinical evaluations and blood samples were collected. Quantification of microRNAs (Let7a, 24, 96, 103, 125a, 125b, 132, 146, 191, 223, 425, 451) and measurement of glycoproteins (GlycA, GlycB, GlycF) using proton nuclear magnetic resonance (1 H-NMR) were performed. Multivariate linear models were applied. RA patients showed higher glycoprotein levels than those with metabolic disorders and controls. Significant associations between miRNAs 24, 451, Let7a and glycoprotein levels were found in RA patients, particularly in women. Glycoprotein levels were positively correlated with inflammatory markers, highlighting their role in indicating RA severity. This study highlights elevated glycoprotein levels in RA patients, indicating a severe inflammatory pattern. Moreover, glycoproteins were highly associated with CV-disease-related miRNAs, indicating that glycoproteins are involved in both inflammation and CV disease. Finally, the inflammatory profile of glycoproteins was validated as they were highly associated with inflammatory markers of RA.
类风湿关节炎(RA)是一种慢性自身免疫性疾病,可引起关节疼痛和残疾。RA 与心血管(CV)疾病之间的联系仍在研究中。本研究旨在探讨与 CV 相关的 microRNAs、炎症和糖基化蛋白之间的关系,以了解 RA 与 CV 疾病相关的炎症病理生理学。该研究纳入了 219 名 RA 患者、82 名代谢紊乱患者和 64 名对照者。采集了临床评估和血液样本。采用质子核磁共振(1H-NMR)对 microRNAs(Let7a、24、96、103、125a、125b、132、146、191、223、425、451)和糖蛋白(GlycA、GlycB、GlycF)进行定量分析。采用多元线性模型进行分析。与代谢紊乱患者和对照组相比,RA 患者的糖蛋白水平更高。在 RA 患者中发现了 miRNA 24、451、Let7a 与糖蛋白水平之间存在显著相关性,尤其是在女性患者中。糖蛋白水平与炎症标志物呈正相关,这突出了它们在指示 RA 严重程度方面的作用。本研究强调了 RA 患者糖蛋白水平升高,表明存在严重的炎症模式。此外,糖蛋白与与 CV 疾病相关的 miRNA 高度相关,表明糖蛋白参与了炎症和 CV 疾病。最后,糖蛋白的炎症谱得到了验证,因为它们与 RA 的炎症标志物高度相关。