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结合强大的尿液生物标志物来评估慢性病进展情况
Frank Bienaimé1, Mordi Muorah2, Marie Metzger3
1Département « Croissance et Signalisation », Institut Necker Enfants Malades, INSERM U1151, CNRS UMR 8253, Université de Paris Cité, Paris, France; Service d'Explorations Fonctionnelles, Hôpital Necker Enfants Malades, Assistance Publique-Hôpitaux de Paris, Paris, France.
EBioMedicine
|June 7, 2023
概括
这项研究验证了商业尿路生物标记测定,用于预测慢性病 (CKD) 的进展. 五种生物标志物的组合 (CCL2,EGF,KIM1,NGAL,TGF-α) 改善了CKD患者的预测准确度.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學.
- 生物标志物发现发现
- 临床化学 临床化学
背景情况:
- 尿路生物标志物显示出预测慢性病 (CKD) 进展的潜力.
- 关于在尿液中进行商业生物标志物测试的适用性和预测性能的数据有限.
研究的目的:
- 严格验证有关CKD进展的尿路生物标志物的商业试验.
- 确定生物标志物的组合,以改善快速CKD进展的预测.
主要方法:
- 对30个商业酶链免疫吸收试验 (ELISA) 进行了验证,根据FDA对尿分析物的量化标准进行了验证.
- 采用最小绝对缩小和选择操作员 (LASSO) 逻辑回归来确定229名CKD患者的预测生物标志物.
- 快速的CKD进展被定义为每年>10%的测量膜过率 (mGFR) 的下降.
主要成果:
- 在30个测试中,16个测试符合验证标准.
- 五种生物标志物的组合 (CCL2,EGF,KIM1,NGAL,TGF-α) 显著改善了快速mGFR下降的预测.
- 纳入这些生物标志物的模型显示,与单独标准变量 (0.682) 相比,曲线下面积 (AUC) (0.722) 更高.
结论:
- 这项研究提供了对CKD的关键尿路生物标志物测试的严格验证.
- 鉴定出的生物标志物的组合有望提高对CKD进展的预测.
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