微RNA作为类风湿性关节炎的生物标志物:从发病到临床相关性
Tooba Qamar1, Md Samsuddin Ansari2,3, Masihuddin4
1Department of Clinical Immunology and Rheumatology, Sanjay Gandhi Post Graduate Institute of Medical Sciences (SGPGIMS), Lucknow, Uttar Pradesh, India.
Journal of cellular biochemistry
|December 23, 2024
概括
微RNAs (miRNAs) 显示出作为类风性关节炎 (RA) 生物标志物的潜力,改善了诊断和治疗. 机器学习集成miRNA数据用于精确的RA预测和管理,为患者提供新的希望.
科学领域:
- 生物化学和分子生物学
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
背景情况:
- 风湿性关节炎 (RA) 诊断面临挑战,因为目前的风湿因子 (RF) 和抗素蛋白抗体 (ACPA) 等生物标志物的敏感性和特异性较低.
- 微RNAs (miRNAs) 在RA病变发生过程中起着至关重要的作用,影响炎症途径和基因表达.
- 包括miR-146a,miR-155,miR-223,miR-126和miR-24在内的特定miRNA与RA的炎症级联和疾病进展有关.
研究的目的:
- 探索miRNAs作为类风湿性关节炎 (RA) 的诊断和预后生物标志物的潜力.
- 调查特定miRNAs在RA病变发生中的作用及其对疾病微环境的调制.
- 突出机器学习 (ML) 和人工智能 (AI) 在将miRNA表达与临床数据集成中的应用,以改善RA管理.
主要方法:
- 在类风湿性关节炎 (RA) 的背景下分析miRNA表达模式.
- 对有关特定miRNAs (例如miR-146a,miR-155,miR-223,miR-126,miR-24) 在RA中的作用的现有文献的综述.
- 使用机器学习 (ML) 和人工智能 (AI) 算法将miRNA表达数据与临床信息集成.
主要成果:
- 某些miRNA显示出作为RA诊断和预后的敏感和特定生物标志物的潜力.
- 像miR-146a和miR-155这样的miRNA参与调节炎症反应和RA的关节损伤.
- ML和AI模型有效地将miRNA表达特征与临床数据相结合,从而能够准确地预测RA发作,进展和治疗反应.
结论:
- miRNAs代表了精准医学在类风湿性关节炎 (RA) 管理中的一个有前途的途径.
- 克服miRNA验证,传递和非目标效应方面的挑战对于临床应用至关重要.
- 微RNA分析和ML / AI等先进的计算方法的协同作用具有重大潜力,可以彻底改变RA诊断,预后和治疗.
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