在自身免疫性疾病中发现多种omics驱动的生物标志物:综合性审查
Yi Zhang1, Haofeng Xu1, Lijuan Xu1
1Department of Clinical Laboratory, Honghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Frontiers in immunology
|December 24, 2025
概括
通过发现新的生物标志物,多种OMIC技术为诊断和治疗自身免疫性疾病 (ADS) 提供了新的希望. 这种方法克服了传统方法的局限性,改善了患者的治疗结果.
科学领域:
- 免疫学 免疫学 免疫学
- 遗传学 是一个遗传学.
- 生物信息学是一种生物信息学.
背景情况:
- 自免疫性疾病 (ADs) 呈现复杂的异质性和动态病理.
- 传统的生物标志物在阿尔茨海默病的诊断和治疗方面面临着重大挑战.
- 现有的AD诊断和治疗方法需要改进.
研究的目的:
- 系统地审查使用多omics技术发现ADs的新生物标志物的发现.
- 突出AD管理中传统生物标志物的局限性.
- 提出一个框架,将omics发现转化为ADS的临床解决方案.
主要方法:
- 探索多omics技术,包括基因组学,表观基因组学,转录基因组学,蛋白质组学,代谢组学和微生物组学.
- 系统性文献综述,重点关注ADs中的生物标志物发现.
- 生物信息学分析多学科数据.
主要成果:
- 多omics技术已经确定了许多新的ADs的诊断和治疗生物标志物.
- 这些新型生物标志物显示出有前途的诊断性能,克服了传统的局限性.
- 生物信息学的进步对于解释复杂的数据至关重要.
结论:
- 多omics方法正在彻底改变ADS的理解和管理.
- 通过多组学发现的新生物标志物具有改善AD诊断和治疗的巨大潜力.
- 将奥米克分析与临床问题解决相结合,为ADS提供了新的治疗方向.
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