免疫相关生物标志物的多omics识别,预测类风湿性关节炎中托法西替尼的反应
Fangyi Lu1, Yanshu Shao2, Qilin Chen3
1Department of Nephrology, Qilu Hospital, Shandong University, Jinan, Shandong, China.
Frontiers in immunology
|February 11, 2026
概括
这项研究确定了多种omics生物标志物,用于在类风湿性关节炎 (RA) 中对tofacitinib反应. 这些发现可能有助于预测治疗疗效,并为RA患者提供个性化的护理.
科学领域:
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
- 蛋白质组学是指蛋白质组学.
- 代谢学 代谢学 代谢学
- 系统生物学 系统生物学
背景情况:
- 类风湿性关节炎 (RA) 是一种具有慢性炎症的自身免疫性疾病.
- 像托法西提尼布这样的简氏激酶 (JAK) 抑制剂提供了治疗选择,但反应各不相同.
- 目前缺乏托法西替尼在RA中的有效性的预测因素.
研究的目的:
- 通过综合性多组学方法确定RA中托法西提尼布反应的预测生物标志物.
- 了解治疗反应异质性的基础分子机制.
- 探索针对个性化的RA治疗策略的潜在候选人.
主要方法:
- 在托法西替尼治疗前从RA患者收集的外周血液单核细胞 (PBMC) 和血清.
- 根据EULAR DAS28标准将患者分类为响应或不响应.
- 应用了一种整合性的多种omics方法:RNA测序,miRNA测序,蛋白质组学和代谢学.
- 在独立和公共数据集中进行生物信息学分析和验证的发现.
主要成果:
- 在响应者的PBMC中对核糖体蛋白质 (例如RPL21) 的升级调节.
- 在响应者中降低hsa-miR-197-3p和hsa-miR-625-3p的调节.
- 血清阿波利波蛋白 (APOA1) 和改变的代谢物 (胆,酸,神经酸) 降低了响应者.
- 综合多种OMIC数据揭示了融合的免疫路径和候选生物标志物.
结论:
- 探索性多组学数据将免疫相关的分子变化与异质的RA治疗反应联系起来.
- 识别的签名可以提高对JAK抑制途径的理解.
- 潜在的候选生物标志物可以指导个性化的RA治疗策略.
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