• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

尿代谢组学用于无创检测儿童肾移植后临界和急性T细胞介导的排斥反应

Urinary metabolomics for noninvasive detection of borderline and acute T cell-mediated rejection in children after kidney transplantation.

作者信息

Blydt-Hansen T D, Sharma A, Gibson I W, Mandal R, Wishart D S

机构信息

Department of Pediatrics and Child Health (Nephrology), University of Manitoba, Children's Hospital at Health Sciences Center, Winnipeg, MB, Canada.

出版信息

Am J Transplant. 2014 Oct;14(10):2339-49. doi: 10.1111/ajt.12837. Epub 2014 Aug 19.

DOI:10.1111/ajt.12837
PMID:25138024
Abstract

The goal of this study was to evaluate the utility of urinary metabolomics for noninvasive diagnosis of T cell-mediated rejection (TCMR) in pediatric kidney transplant recipients. Urine samples (n = 277) from 57 patients with surveillance or indication kidney biopsies were assayed for 134 unique metabolites by quantitative mass spectrometry. Samples without TCMR (n = 183) were compared to borderline tubulitis (n = 54) and TCMR (n = 30). Partial least squares discriminant analysis identified distinct classifiers for TCMR (area under receiver operating characteristic curve [AUC] = 0.892; 95% confidence interval [CI] 0.827-0.957) and borderline tubulitis (AUC = 0.836; 95% CI 0.781-0.892), respectively. Application of the TCMR classifier to borderline tubulitis samples yielded a discriminant score (-0.47 ± 0.33) mid-way between TCMR (-0.20 ± 0.34) and No TCMR (-0.80 ± 0.32) (p < 0.001 for all comparisons). Discriminant scoring for combined borderline/TCMR versus No TCMR (AUC = 0.900; 95% CI 0.859-0.940) applied to a validation cohort robustly distinguished between samples with (-0.08 ± 0.52) and without (-0.65 ± 0.54, p < 0.001) borderline/TCMR (p < 0.001). The TCMR discriminant score was driven by histological t-score, ct-score, donor-specific antibody and biopsy indication, and was unaffected by renal function, interstitial or microcirculatory inflammation, interstitial fibrosis or pyuria. These preliminary findings suggest that urinary metabolomics is a sensitive, specific and noninvasive tool for TCMR identification that is superior to serum creatinine, with minimal confounding by other allograft injury processes.

摘要

本研究的目的是评估尿代谢组学在小儿肾移植受者中对T细胞介导的排斥反应(TCMR)进行无创诊断的效用。对57例接受监测或因适应证进行肾活检的患者的尿液样本(n = 277),通过定量质谱法检测了134种独特的代谢物。将无TCMR的样本(n = 183)与临界性肾小管炎样本(n = 54)和TCMR样本(n = 30)进行比较。偏最小二乘判别分析分别确定了TCMR(受试者工作特征曲线下面积[AUC]=0.892;95%置信区间[CI]0.827 - 0.957)和临界性肾小管炎(AUC = 0.836;95%CI 0.781 - 0.892)的不同分类器。将TCMR分类器应用于临界性肾小管炎样本,得到的判别分数(-0.47±0.33)介于TCMR(-0.20±0.34)和无TCMR(-0.80±0.32)之间(所有比较p<0.001)。将临界性/TCMR合并组与无TCMR组的判别评分(AUC = 0.900;95%CI 0.859 - 0.940)应用于验证队列,能可靠地区分有临界性/TCMR(-0.08±0.52)和无临界性/TCMR(-0.65±0.54,p<0.001)的样本(p<0.001)。TCMR判别分数受组织学t评分、ct评分、供者特异性抗体和活检适应证的驱动,不受肾功能、间质或微循环炎症、间质纤维化或脓尿的影响。这些初步研究结果表明,尿代谢组学是一种用于识别TCMR的敏感、特异且无创的工具,优于血清肌酐,且受其他移植肾损伤过程的干扰最小。

相似文献

1
Urinary metabolomics for noninvasive detection of borderline and acute T cell-mediated rejection in children after kidney transplantation.尿代谢组学用于无创检测儿童肾移植后临界和急性T细胞介导的排斥反应
Am J Transplant. 2014 Oct;14(10):2339-49. doi: 10.1111/ajt.12837. Epub 2014 Aug 19.
2
Urinary Metabolomics for Noninvasive Detection of Antibody-Mediated Rejection in Children After Kidney Transplantation.尿代谢组学用于非侵入性检测儿童肾移植后抗体介导的排斥反应。
Transplantation. 2017 Oct;101(10):2553-2561. doi: 10.1097/TP.0000000000001662.
3
Elevated urinary CXCL10-to-creatinine ratio is associated with subclinical and clinical rejection in pediatric renal transplantation.尿CXCL10与肌酐比值升高与小儿肾移植的亚临床和临床排斥反应相关。
Transplantation. 2015 Apr;99(4):797-804. doi: 10.1097/TP.0000000000000419.
4
Does tubulitis without interstitial inflammation represent borderline acute T cell mediated rejection?tubulitis 而无间质炎症是否代表界线性急性 T 细胞介导的排斥反应?
Am J Transplant. 2019 Jan;19(1):132-144. doi: 10.1111/ajt.14888. Epub 2018 Jun 15.
5
A Noninvasive Urine Metabolome Panel as Potential Biomarkers for Diagnosis of T Cell-Mediated Renal Transplant Rejection.一种非侵入性尿液代谢组学分析作为潜在生物标志物用于 T 细胞介导的肾移植排斥反应的诊断。
OMICS. 2020 Mar;24(3):140-147. doi: 10.1089/omi.2019.0158.
6
Urinary cell mRNA profiling of kidney allograft recipients: Development of a portable protocol for noninvasive diagnosis of T cell mediated rejection and BK virus nephropathy.肾移植受者尿细胞mRNA分析:一种用于T细胞介导的排斥反应和BK病毒性肾病无创诊断的便携式检测方法的开发
J Immunol Methods. 2023 Jan;512:113402. doi: 10.1016/j.jim.2022.113402. Epub 2022 Dec 6.
7
Non-invasive differentiation of non-rejection kidney injury from acute rejection in pediatric renal transplant recipients.小儿肾移植受者中非排斥性肾损伤与急性排斥反应的无创性鉴别
Pediatr Transplant. 2019 May;23(3):e13364. doi: 10.1111/petr.13364. Epub 2019 Feb 4.
8
A universal urinary cell gene signature of acute rejection in kidney allografts.肾移植急性排斥反应的通用尿细胞基因特征。
J Immunol Methods. 2024 Sep;532:113714. doi: 10.1016/j.jim.2024.113714. Epub 2024 Jun 25.
9
A new lateral flow assay to detect sIL-2R during T-cell mediated rejection after kidney transplantation.一种新的侧向流动分析检测技术,用于检测肾移植后 T 细胞介导排斥反应期间的可溶性白细胞介素 2 受体。
Analyst. 2021 Sep 7;146(17):5369-5379. doi: 10.1039/d1an01001h. Epub 2021 Aug 2.
10
Development of a multivariable gene-expression signature targeting T-cell-mediated rejection in peripheral blood of kidney transplant recipients validated in cross-sectional and longitudinal samples.开发一种多变量基因表达特征,针对肾移植受者外周血中的 T 细胞介导的排斥反应,在横断面和纵向样本中得到验证。
EBioMedicine. 2019 Mar;41:571-583. doi: 10.1016/j.ebiom.2019.01.060. Epub 2019 Mar 2.

引用本文的文献

1
Exploring the role of metabolomics in kidney transplantation: a systematic review of the literature.探索代谢组学在肾移植中的作用:文献系统综述
Front Immunol. 2025 Jun 10;16:1534875. doi: 10.3389/fimmu.2025.1534875. eCollection 2025.
2
An Exosomal mRNA Urine Test for Detection and Risk Stratification of Human Kidney Transplant Rejection.一种用于检测和评估人类肾移植排斥反应风险分层的外泌体mRNA尿液检测方法。
Kidney Int Rep. 2025 Feb 3;10(4):1131-1142. doi: 10.1016/j.ekir.2025.01.036. eCollection 2025 Apr.
3
An Overview of Pre-Analytical Factors Impacting Metabolomics Analyses of Blood Samples.
影响血样代谢组学分析的分析前因素概述。
Metabolites. 2024 Aug 28;14(9):474. doi: 10.3390/metabo14090474.
4
Perspective: metabolomics has the potential to change the landscape of kidney transplantation diagnostics.观点:代谢组学有可能改变肾移植诊断的格局。
Biomark Med. 2024;18(17-18):787-794. doi: 10.1080/17520363.2024.2394383. Epub 2024 Sep 5.
5
Understanding Pediatric Kidney Transplant Rejection: Its Pathophysiology, Biomarkers, and Management Strategies.了解小儿肾移植排斥反应:其病理生理学、生物标志物及管理策略
Curr Med Chem. 2025;32(18):3571-3590. doi: 10.2174/0109298673333693240806160544.
6
Predicting Cellular Rejection of Renal Allograft Based on the Serum Proteomic Fingerprint.基于血清蛋白质组指纹预测肾移植的细胞排斥反应。
Int J Mol Sci. 2024 Mar 29;25(7):3844. doi: 10.3390/ijms25073844.
7
Advances in metabolomics profiling of pediatric kidney diseases: A review.儿科肾脏疾病代谢组学分析的研究进展:综述。
Biomol Biomed. 2024 Sep 6;24(5):1044-1054. doi: 10.17305/bb.2024.10098.
8
Longitudinal non-targeted metabolomic profiling of urine samples for monitoring of kidney transplantation patients.尿液样本的纵向非靶向代谢组学分析用于监测肾移植患者。
Ren Fail. 2024 Dec;46(1):2300736. doi: 10.1080/0886022X.2023.2300736. Epub 2024 Jan 12.
9
Multi-omics Approach in Kidney Transplant: Lessons Learned from COVID-19 Pandemic.肾移植中的多组学方法:从新冠疫情中吸取的教训
Curr Transplant Rep. 2023 Dec;10(4):173-187. doi: 10.1007/s40472-023-00410-8. Epub 2023 Aug 23.
10
Rejection markers in kidney transplantation: do new technologies help children?肾移植中的排斥标志物:新技术是否对儿童有帮助?
Pediatr Nephrol. 2023 Sep;38(9):2939-2955. doi: 10.1007/s00467-022-05872-z. Epub 2023 Jan 17.