血清和尿液代谢指纹使IgA脏病的诊断和预后成为可能
Beili Wang1, Ruimin Wang2, Wenqi Shao1
1Department of Laboratory Medicine, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
Materials today. Bio
|November 10, 2025
概括
一种使用血清和尿液代谢分析的新型非侵入性方法,有助于早期IgA病 (IgAN) 的诊断和预后. 这种方法对精确的IgAN管理有希望,克服了活检的局限性.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 生物化学 生物化学
- 计算生物学 计算生物学
背景情况:
- IgA脏病 (IgAN) 是最常见的血球膜炎,在20%-40%的患者中具有显著的地理差异和进展到末期脏病.
- 目前的诊断依赖于侵入性脏活检,强调了对非侵入性诊断和预后工具的需求.
研究的目的:
- 开发和验证一种双流体代谢分析方法,用于IgA脏病的早期,非侵入性诊断和预后评估.
- 评估代谢分析对追踪疾病进展和治疗反应的有用性.
主要方法:
- 使用纳米粒子增强激光脱吸/电离质谱法 (NPELDI-MS) 来对血清和尿液样本进行代谢指纹检测.
- 集成的机器学习算法来分析代谢数据以进行诊断和预后能力.
- 在治疗期间跟踪关键代谢物的动态变化,以确定不同的代谢途径.
主要成果:
- 开发的模型实现了高诊断性能 (AUC = 0.81-0.95) 在Igan患者与健康对照区分.
- 在不同的预后亚组中,确定了不同的代谢途径,表明了个性化治疗策略的潜力.
- 代谢剖析在监测疾病状况和对治疗的反应方面表现出有效性.
结论:
- 双流体代谢分析与机器学习相结合,为IgA脏病的早期诊断和预后评估提供了一个有希望的非侵入性策略.
- 这种方法可以帮助精确管理Igan,可能减少对侵入性脏活检的依赖.
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