在结性脊柱炎中,集成性质谱学驱动的多组学和单细胞技术:对病变发生,生物标志物发现和精密医学的洞察力
Yan Gao1, Xinge Li1, Fengting Luo2
1School of Pharmaceutical Science and Technology, Faculty of Medicine, Tianjin University, Tianjin, China.
Journal of translational autoimmunity
|October 13, 2025
概括
质谱学多omics通过识别早期诊断和个性化治疗的生物标志物来推动结性脊髓炎 (AS) 研究. 这些技术揭示了疾病机制和免疫细胞的变化,改善了患者的治疗结果.
科学领域:
- 生物化学 生物化学
- 免疫学 免疫学 免疫学
- 基因组学就是基因组学.
背景情况:
- 结节性脊柱炎 (AS) 是一种具有复杂病原性的慢性炎症性关节炎,导致诊断延迟和治疗反应的多样化.
- 目前对AS病原和有效生物标志物的理解仍然有限,阻碍了精准医学方法.
研究的目的:
- 审查基于质谱 (MS) 的多奥米技术的应用,以了解结性脊髓炎 (AS).
- 突出多组学在识别早期诊断,疾病亚型和AS个性化治疗的生物标志物的作用.
主要方法:
- 利用质谱 (MS) 技术,包括电喷射电离,轨道飞行/飞行时间分析仪和液体/气体染色学,以进行全面的蛋白质,代谢和脂质分析.
- 集成的多组数据与新兴的单细胞技术,如质量细胞计,以分析AS的免疫细胞异质性.
主要成果:
- 蛋白质组学确定了关键生物标记物 (例如补充元件,矩阵金属蛋白酶,CRP+SAA1面板) 区分活性AS.
- 代谢学揭示了托代谢和肠道微生物群代谢物 (例如,SCFA) 的干扰,三种代谢物小组显示出诊断前景.
- 脂组学表明脂成分发生变化,质细胞计揭示了特定单细胞和T细胞子集中的免疫失调.
结论:
- 基于AS的多omics技术对于阐明AS病原体和发现新生物标志物至关重要.
- 多omics集成为AS的早期诊断,机械子类型和个性化治疗策略提供了潜在的潜力.
- 解决数据异质性和人工智能可解释性方面的挑战将进一步推动AS中的多omics应用.
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