Literature DB >> 27165815

Mining the human urine proteome for monitoring renal transplant injury.

Tara K Sigdel1, Yuqian Gao2, Jintang He2, Anyou Wang1, Carrie D Nicora2, Thomas L Fillmore2, Tujin Shi2, Bobbie-Jo Webb-Robertson2, Richard D Smith2, Wei-Jun Qian2, Oscar Salvatierra3, David G Camp2, Minnie M Sarwal4.   

Abstract

The human urinary proteome provides an assessment of kidney injury with specific biomarkers for different kidney injury phenotypes. In an effort to fully map and decipher changes in the urine proteome and peptidome after kidney transplantation, renal allograft biopsy matched urine samples were collected from 396 kidney transplant recipients. Centralized and blinded histology data from paired graft biopsies was used to classify urine samples into diagnostic categories of acute rejection, chronic allograft nephropathy, BK virus nephritis, and stable graft. A total of 245 urine samples were analyzed by liquid chromatography-mass spectrometry using isobaric Tags for Relative and Absolute Quantitation (iTRAQ) reagents. From a group of over 900 proteins identified in transplant injury, a set of 131 peptides were assessed by selected reaction monitoring for their significance in accurately segregating organ injury causation and pathology in an independent cohort of 151 urine samples. Ultimately, a minimal set of 35 proteins were identified for their ability to segregate the 3 major transplant injury clinical groups, comprising the final panel of 11 urinary peptides for acute rejection (93% area under the curve [AUC]), 12 urinary peptides for chronic allograft nephropathy (99% AUC), and 12 urinary peptides for BK virus nephritis (83% AUC). Thus, urinary proteome discovery and targeted validation can identify urine protein panels for rapid and noninvasive differentiation of different causes of kidney transplant injury, without the requirement of an invasive biopsy.
Copyright © 2016 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  acute rejection; kidney transplantation injury; noninvasive biomarkers; protein biomarkers; urine proteomics

Mesh:

Substances:

Year:  2016        PMID: 27165815      PMCID: PMC5221536          DOI: 10.1016/j.kint.2015.12.049

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  36 in total

Review 1.  Protein and peptide biomarkers in organ transplantation.

Authors:  Tara K Sigdel; Xiaoxiao Gao; Minnie M Sarwal
Journal:  Biomark Med       Date:  2012-06       Impact factor: 2.851

2.  Standardizing resistive indices in healthy pediatric transplant recipients of adult-sized kidneys.

Authors:  Sepideh Gholami; Minnie M Sarwal; Maarten Naesens; Hans G Ringertz; Richard A Barth; Raymond R Balise; Oscar Salvatierra
Journal:  Pediatr Transplant       Date:  2009-04-20

Review 3.  Rejection and function and chronic allograft dysfunction.

Authors:  Johan W de Fijter
Journal:  Kidney Int Suppl       Date:  2010-12       Impact factor: 10.545

4.  Integrative urinary peptidomics in renal transplantation identifies biomarkers for acute rejection.

Authors:  Xuefeng B Ling; Tara K Sigdel; Kenneth Lau; Lihua Ying; Irwin Lau; James Schilling; Minnie M Sarwal
Journal:  J Am Soc Nephrol       Date:  2010-02-11       Impact factor: 10.121

5.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

6.  Complete steroid avoidance is effective and safe in children with renal transplants: a multicenter randomized trial with three-year follow-up.

Authors:  M M Sarwal; R B Ettenger; V Dharnidharka; M Benfield; R Mathias; A Portale; R McDonald; W Harmon; D Kershaw; V M Vehaskari; E Kamil; H J Baluarte; B Warady; L Tang; J Liu; L Li; M Naesens; T Sigdel; Janie Waskerwitz; O Salvatierra
Journal:  Am J Transplant       Date:  2012-06-13       Impact factor: 8.086

7.  Cluster analysis and display of genome-wide expression patterns.

Authors:  M B Eisen; P T Spellman; P O Brown; D Botstein
Journal:  Proc Natl Acad Sci U S A       Date:  1998-12-08       Impact factor: 11.205

8.  Improved quality control processing of peptide-centric LC-MS proteomics data.

Authors:  Melissa M Matzke; Katrina M Waters; Thomas O Metz; Jon M Jacobs; Amy C Sims; Ralph S Baric; Joel G Pounds; Bobbie-Jo M Webb-Robertson
Journal:  Bioinformatics       Date:  2011-08-18       Impact factor: 6.937

9.  Optimization for peptide sample preparation for urine peptidomics.

Authors:  Tara K Sigdel; Carrie D Nicora; Szu-Chuan Hsieh; Hong Dai; Wei-Jun Qian; David G Camp; Minnie M Sarwal
Journal:  Clin Proteomics       Date:  2014-02-25       Impact factor: 3.988

Review 10.  Chronic allograft nephropathy.

Authors:  Jeffery T Fletcher; Brian J Nankivell; Stephen I Alexander
Journal:  Pediatr Nephrol       Date:  2008-06-27       Impact factor: 3.714

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  36 in total

Review 1.  Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.

Authors:  Madhav C Menon; Barbara Murphy; Peter S Heeger
Journal:  J Am Soc Nephrol       Date:  2017-01-06       Impact factor: 10.121

Review 2.  Transplant genetics and genomics.

Authors:  Joshua Y C Yang; Minnie M Sarwal
Journal:  Nat Rev Genet       Date:  2017-03-13       Impact factor: 53.242

Review 3.  Biomarkers and Pharmacogenomics in Kidney Transplantation.

Authors:  L E Crowley; M Mekki; S Chand
Journal:  Mol Diagn Ther       Date:  2018-10       Impact factor: 4.074

Review 4.  Enhancing the Value of Histopathological Assessment of Allograft Biopsy Monitoring.

Authors:  Michelle A Wood-Trageser; Andrew J Lesniak; Anthony J Demetris
Journal:  Transplantation       Date:  2019-07       Impact factor: 4.939

Review 5.  Advances in Detection of Kidney Transplant Injury.

Authors:  Sanjeeva Herath; Jonathan Erlich; Amy Y M Au; Zoltán H Endre
Journal:  Mol Diagn Ther       Date:  2019-06       Impact factor: 4.074

6.  Urinary miR-155-5p and CXCL10 as prognostic and predictive biomarkers of rejection, graft outcome and treatment response in kidney transplantation.

Authors:  Olga Millán; Klemens Budde; Claudia Sommerer; Irene Aliart; Olesja Rissling; Beatriz Bardaji; Maaren Matz; Martin Zeier; Irene Silva; Lluis Guirado; Mercè Brunet
Journal:  Br J Clin Pharmacol       Date:  2017-09-21       Impact factor: 4.335

7.  Urinary donor-derived cell-free DNA as a non-invasive biomarker for BK polyomavirus-associated nephropathy.

Authors:  Jia Shen; Luying Guo; Wenhua Lei; Shuaihui Liu; Pengpeng Yan; Haitao Liu; Jingyi Zhou; Qin Zhou; Feng Liu; Tingya Jiang; Huiping Wang; Jianyong Wu; Jianghua Chen; Rending Wang
Journal:  J Zhejiang Univ Sci B       Date:  2021-11-15       Impact factor: 3.066

Review 8.  Advances in diagnostics for transplant rejection.

Authors:  Michael Nasr; Tara Sigdel; Minnie Sarwal
Journal:  Expert Rev Mol Diagn       Date:  2016-10       Impact factor: 5.225

9.  A urine score for noninvasive accurate diagnosis and prediction of kidney transplant rejection.

Authors:  Joshua Y C Yang; Reuben D Sarwal; Tara K Sigdel; Izabella Damm; Ben Rosenbaum; Juliane M Liberto; Chitranon Chan-On; José M Arreola-Guerra; Josefina Alberu; Flavio Vincenti; Minnie M Sarwal
Journal:  Sci Transl Med       Date:  2020-03-18       Impact factor: 17.956

10.  Identification of potential key protein interaction networks of BK virus nephropathy in patients receiving kidney transplantation.

Authors:  Linpei Jia; Wenjing Fu; Rufu Jia; Leiyun Wu; Xiaoxia Li; Qiang Jia; Hongliang Zhang
Journal:  Sci Rep       Date:  2018-03-22       Impact factor: 4.379

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