Urine Measurements of the Renin-Angiotensin System-Regulated Proteins Predict Death and Graft Loss in Kidney Transplant Recipients Enrolled in a Ramipril versus Placebo Randomized Controlled Trial.

IF 3.6 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS Journal of Proteome Research Pub Date : 2025-04-04 Epub Date: 2025-03-20 DOI:10.1021/acs.jproteome.4c01100
Sofia Farkona, Max Kotlyar, Kevin Burns, Greg Knoll, Davor Brinc, Igor Jurisica, Ana Konvalinka
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Abstract

The renin-angiotensin system (RAS) is involved in kidney fibrosis. We previously identified six RAS-regulated proteins (RHOB, BST1, LYPA1, GLNA, TSP1, and LAMB2) that were increased in the urine of patients with kidney allograft fibrosis, compared to patients without fibrosis. We hypothesized that these urinary RAS-regulated proteins predicted primary outcomes in kidney transplant recipients enrolled in the largest RAS inhibitor randomized controlled trial. Urine excretion of 10 peptides corresponding to the six RAS-regulated proteins was quantified using parallel reaction monitoring mass spectrometry assays (normalized by urine creatinine) in a subset of patients in the trial. Machine learning models predicting outcomes based on urine peptide excretion rates were developed and evaluated. Urine samples (n = 111) from 56 patients were collected at 0, 6, 12, and 24 months. Twenty-four primary outcomes (doubling of serum creatinine, graft loss, or death) occurred in 17 patients. Logistic regression utilizing eight peptides of TSP1, BST1, LAMB2, LYPA1, and RHOB, from the last urine sample prior to outcomes, predicted a graft loss with an AUC of 0.78 (p = 0.00001). A random forest classifier utilizing BST1 and LYPA1 peptides predicted death with an AUC of 0.80 (p = 0.0016). Urine measurements of RAS-regulated proteins may predict outcomes in kidney transplant recipients, although further prospective studies are required.

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在一项雷米普利与安慰剂的随机对照试验中,肾素-血管紧张素系统调节蛋白的尿液测量可预测肾移植受者的死亡和移植物损失。
肾素-血管紧张素系统(RAS)参与肾纤维化。我们之前发现6种ras调节蛋白(RHOB, BST1, LYPA1, GLNA, TSP1和LAMB2)在肾移植纤维化患者的尿液中比无纤维化患者增加。我们假设,在最大的RAS抑制剂随机对照试验中,这些尿液RAS调节蛋白预测了肾移植受者的主要结局。在试验的一部分患者中,使用平行反应监测质谱法(通过尿肌酐归一化)量化尿中与6种ras调节蛋白对应的10种肽的排泄。开发并评估了基于尿肽排泄率预测结果的机器学习模型。在0、6、12和24个月收集56例患者的尿液样本(n = 111)。17例患者出现24个主要结局(血清肌酐翻倍、移植物丢失或死亡)。利用结果前最后一次尿液样本中TSP1、BST1、LAMB2、LYPA1和RHOB的8种肽进行Logistic回归,预测移植物损失的AUC为0.78 (p = 0.00001)。使用BST1和LYPA1肽的随机森林分类器预测死亡的AUC为0.80 (p = 0.0016)。尿液中ras调节蛋白的测定可以预测肾移植受者的预后,尽管还需要进一步的前瞻性研究。
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来源期刊
Journal of Proteome Research
Journal of Proteome Research 生物-生化研究方法
CiteScore
9.00
自引率
4.50%
发文量
251
审稿时长
3 months
期刊介绍: Journal of Proteome Research publishes content encompassing all aspects of global protein analysis and function, including the dynamic aspects of genomics, spatio-temporal proteomics, metabonomics and metabolomics, clinical and agricultural proteomics, as well as advances in methodology including bioinformatics. The theme and emphasis is on a multidisciplinary approach to the life sciences through the synergy between the different types of "omics".
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