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首页> 外文期刊>Transplantation: Official Journal of the Transplantation Society >Assessing the metabolic effects of calcineurin inhibitors in renal transplant recipients by urine metabolic profiling
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Assessing the metabolic effects of calcineurin inhibitors in renal transplant recipients by urine metabolic profiling

机译:通过尿液代谢谱评估钙调神经磷酸酶抑制剂在肾移植受者中的代谢作用

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BACKGROUND: Biomarkers that can predict graft function and/or renal side effects of calcineurin inhibitors (CNI) at each stage of treatment in kidney transplantation are still lacking. We report the first untargeted GC-MS-based metabolomic study on urines of renal transplant patients. This approach would bring insight in biomarkers useable for graft function monitoring. METHODS: All consecutive patients receiving a kidney allograft in our transplantation department over a 6-month period were prospectively included and followed up for 12 months. We collected urine samples on the seventh day (D7) after transplantation, then at month 3 (M3) and month 12 (M12), and obtained mass-spectrometry-based urinary metabolic profiles. Multivariate analyses were conducted to compare metabolic profiles at the 3 different periods and to assess potential differences between cyclosporine and tacrolimus. Differences in metabolic signatures were also assessed according to graft function at D7 and renal function at M3 and M12. RESULTS: The urinary metabolic patterns varied over time in cyclosporine- and tacrolimus-treated patients and were somewhat different at D7, M3, and M12 between the 2 treatment groups. Principal metabolites that differed, regardless of the treatment used, were mainly sugars, inositol, and hippuric acid. Interestingly, among tacrolimus-treated patients, different metabolic signatures were found between patients with immediate or delayed graft function at D7. CONCLUSION: Urinary metabolomics represents a noninvasive way of monitoring immunosuppressive therapy in renal transplant patients. Although it is too early to consider it as a biomarker of CNI-induced injury or graft function, metabolomics appears a promising evaluation tool in this area.
机译:背景:在肾移植的每个治疗阶段,仍缺乏能够预测钙调神经磷酸酶抑制剂(CNI)移植功能和/或肾脏副作用的生物标志物。我们报告了肾移植患者尿液的第一个基于GC-MS的非靶向代谢组学研究。这种方法将带来可用于移植物功能监测的生物标志物的见识。方法:前瞻性地纳入了我们移植部门连续6个月接受肾脏异体移植的所有患者,并随访12个月。我们在移植后的第七天(D7),然后在第3个月(M3)和第12个月(M12)收集尿液样本,并获得了基于质谱的尿代谢谱。进行多变量分析以比较三个不同时期的代谢谱,并评估环孢霉素和他克莫司之间的潜在差异。还根据D7的移植物功能和M3和M12的肾功能评估了代谢特征的差异。结果:环孢素和他克莫司治疗的患者的尿代谢模式随时间变化,并且在两个治疗组之间的D7,M3和M12时有所不同。无论使用何种治疗方法,不同的主要代谢物主要是糖,肌醇和马尿酸。有趣的是,在他克莫司治疗的患者中,在D7时具有立即或延迟移植功能的患者之间发现了不同的代谢特征。结论:尿液代谢组学是监测肾移植患者免疫抑制治疗的一种非侵入性方法。尽管现在将其视为CNI诱导的损伤或移植物功能的生物标志还为时过早,但代谢组学在该领域似乎是一个很有前途的评估工具。

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