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用尿液 CXCL9 和 CXCL10 改变肾移植监测:实用的临床实施。

Transforming kidney transplant monitoring with urine CXCL9 and CXCL10: practical clinical implementation.

机构信息

Necker-Enfants Malades Institute, Inserm U1151, Paris Cité University, Paris, France.

Department of Nephrology and Kidney Transplantation, Dijon University Hospital, Dijon, France.

出版信息

Sci Rep. 2024 Sep 2;14(1):20357. doi: 10.1038/s41598-024-70390-x.

Abstract

In kidney transplant recipients, urine CXCL9 and CXCL10 (uCXCL9/10) chemokines have reached a sufficiently high level of evidence to be recommended by the European Society of Organ Transplantation for the monitoring of immune quiescence. To assess the risk of acute rejection (AR), the advantage of uCXCL9/10 is their cost-effectiveness and their high diagnostic performance. Here, we evaluated the feasibility of a next-generation immunoassay for quantifying uCXCL9/10 levels. It demonstrated high efficiency with minimal workflow and a 90-min time to result. Preanalytical studies indicated stability of uCXCL9/10 levels and analytical studies confirmed excellent linearity and precision. In a cohort of 1048 samples collected at biopsy, the results correlated significantly with ELISA quantification and were integrated into a previously validated 8-parameter urine chemokine model. The next generation immunoassay achieved an accuracy of 0.84 for AR diagnosis. This study validates this technology as a robust, locally available and unexpensive platform and marks a significant step towards the widespread implementation of uCXCL9/10, for immune quiescence monitoring. Therefore, we developed an open-access web application using uCXCL9/10 to calculate AR risk and improve clinical decision-making to perform biopsy, ushering in a new era in kidney transplantation, where personalized, data-driven care becomes the norm.

摘要

在肾移植受者中,尿液趋化因子(CXCL)9 和 10(uCXCL9/10)已达到足够高的证据水平,被欧洲器官移植学会推荐用于监测免疫静止。为了评估急性排斥反应(AR)的风险,uCXCL9/10 的优势在于其具有成本效益和高诊断性能。在这里,我们评估了一种用于定量检测 uCXCL9/10 水平的下一代免疫分析的可行性。它具有高效性、最小的工作流程和 90 分钟的结果时间。分析前研究表明 uCXCL9/10 水平稳定,分析研究证实了其具有极好的线性和精密度。在对活检采集的 1048 个样本进行的队列研究中,结果与 ELISA 定量法显著相关,并整合到之前验证的 8 个参数尿液趋化因子模型中。下一代免疫分析对 AR 诊断的准确性达到 0.84。本研究验证了该技术是一种可靠、本地可用且经济实惠的平台,朝着广泛应用 uCXCL9/10 监测免疫静止迈出了重要一步。因此,我们开发了一个使用 uCXCL9/10 计算 AR 风险并改善临床决策以进行活检的开放访问网络应用程序,开创了肾移植的新时代,个性化、数据驱动的护理成为常态。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b244/11369285/5f2f37fff7d1/41598_2024_70390_Fig1_HTML.jpg

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