Literature DB >> 20150539

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

Xuefeng B Ling1, Tara K Sigdel, Kenneth Lau, Lihua Ying, Irwin Lau, James Schilling, Minnie M Sarwal.   

Abstract

Noninvasive methods to diagnose rejection of renal allografts are unavailable. Mass spectrometry followed by multiple-reaction monitoring provides a unique approach to identify disease-specific urine peptide biomarkers. Here, we performed urine peptidomic analysis of 70 unique samples from 50 renal transplant patients and 20 controls (n = 20), identifying a specific panel of 40 peptides for acute rejection (AR). Peptide sequencing revealed suggestive mechanisms of graft injury with roles for proteolytic degradation of uromodulin (UMOD) and several collagens, including COL1A2 and COL3A1. The 40-peptide panel discriminated AR in training (n = 46) and test (n = 24) sets (area under ROC curve >0.96). Integrative analysis of transcriptional signals from paired renal transplant biopsies, matched with the urine samples, revealed coordinated transcriptional changes for the corresponding genes in addition to dysregulation of extracellular matrix proteins in AR (MMP-7, SERPING1, and TIMP1). Quantitative PCR on an independent set of 34 transplant biopsies with and without AR validated coordinated changes in expression for the corresponding genes in rejection tissue. A six-gene biomarker panel (COL1A2, COL3A1, UMOD, MMP-7, SERPING1, TIMP1) classified AR with high specificity and sensitivity (area under ROC curve = 0.98). These data suggest that changes in collagen remodeling characterize AR and that detection of the corresponding proteolytic degradation products in urine provides a noninvasive diagnostic approach.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 20150539      PMCID: PMC2844301          DOI: 10.1681/ASN.2009080876

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  49 in total

1.  Noninvasive diagnosis of renal-allograft rejection by measurement of messenger RNA for perforin and granzyme B in urine.

Authors:  B Li; C Hartono; R Ding; V K Sharma; R Ramaswamy; B Qian; D Serur; J Mouradian; J E Schwartz; M Suthanthiran
Journal:  N Engl J Med       Date:  2001-03-29       Impact factor: 91.245

2.  Predicting outcomes after renal transplantation--new tools and old tools.

Authors:  Philip A Marsden
Journal:  N Engl J Med       Date:  2003-07-10       Impact factor: 91.245

3.  FDR made easy in differential feature discovery and correlation analyses.

Authors:  Xuefeng Bruce Ling; Harvey Cohen; Joseph Jin; Irwin Lau; James Schilling
Journal:  Bioinformatics       Date:  2009-04-17       Impact factor: 6.937

Review 4.  Monitoring tissue repair and fibrosis from a distance.

Authors:  K T Weber
Journal:  Circulation       Date:  1997-10-21       Impact factor: 29.690

Review 5.  Chronic allograft nephropathy: An update.

Authors:  L C Paul
Journal:  Kidney Int       Date:  1999-09       Impact factor: 10.612

6.  CE-MS analysis of the human urinary proteome for biomarker discovery and disease diagnostics.

Authors:  Joshua J Coon; Petra Zürbig; Mohammed Dakna; Anna F Dominiczak; Stéphane Decramer; Danilo Fliser; Moritz Frommberger; Igor Golovko; David M Good; Stefan Herget-Rosenthal; Joachim Jankowski; Bruce A Julian; Markus Kellmann; Walter Kolch; Ziad Massy; Jan Novak; Kasper Rossing; Joost P Schanstra; Eric Schiffer; Dan Theodorescu; Raymond Vanholder; Eva M Weissinger; Harald Mischak; Philippe Schmitt-Kopplin
Journal:  Proteomics Clin Appl       Date:  2008-07-10       Impact factor: 3.494

7.  The natural history of chronic allograft nephropathy.

Authors:  Brian J Nankivell; Richard J Borrows; Caroline L-S Fung; Philip J O'Connell; Richard D M Allen; Jeremy R Chapman
Journal:  N Engl J Med       Date:  2003-12-11       Impact factor: 91.245

8.  Molecular heterogeneity in acute renal allograft rejection identified by DNA microarray profiling.

Authors:  Minnie Sarwal; Mei-Sze Chua; Neeraja Kambham; Szu-Chuan Hsieh; Thomas Satterwhite; Marilyn Masek; Oscar Salvatierra
Journal:  N Engl J Med       Date:  2003-07-10       Impact factor: 91.245

Review 9.  Identification of urinary biomarkers by proteomics in newborns: use in obstructive nephropathy.

Authors:  Stephane Decramer; Petra Zürbig; Stefan Wittke; Harald Mischak; Jean-Loup Bascands; Joost P Schanstra
Journal:  Contrib Nephrol       Date:  2008       Impact factor: 1.580

10.  Changes in the protein expression of yeast as a function of carbon source.

Authors:  Ji Gao; Gregory J Opiteck; Mark S Friedrichs; Ashok R Dongre; Stanley A Hefta
Journal:  J Proteome Res       Date:  2003 Nov-Dec       Impact factor: 4.466

View more
  53 in total

1.  Application of systems biology principles to protein biomarker discovery: urinary exosomal proteome in renal transplantation.

Authors:  Trairak Pisitkun; Maria T Gandolfo; Samarjit Das; Mark A Knepper; Serena M Bagnasco
Journal:  Proteomics Clin Appl       Date:  2012-06       Impact factor: 3.494

Review 2.  Molecular diagnostics in transplantation.

Authors:  Maarten Naesens; Minnie M Sarwal
Journal:  Nat Rev Nephrol       Date:  2010-08-24       Impact factor: 28.314

3.  Transplantation: Integrative peptidomics identifies acute renal-transplant rejection biomarkers.

Authors:  Susan J Allison
Journal:  Nat Rev Nephrol       Date:  2010-05       Impact factor: 28.314

4.  Peptidomic Analysis of Urine from Youths with Early Type 1 Diabetes Reveals Novel Bioactivity of Uromodulin Peptides In Vitro.

Authors:  Julie A D Van; Sergi Clotet-Freixas; Joyce Zhou; Ihor Batruch; Chunxiang Sun; Michael Glogauer; Luca Rampoldi; Yesmino Elia; Farid H Mahmud; Etienne Sochett; Eleftherios P Diamandis; James W Scholey; Ana Konvalinka
Journal:  Mol Cell Proteomics       Date:  2019-12-26       Impact factor: 5.911

5.  Mining the human urine proteome for monitoring renal transplant injury.

Authors:  Tara K Sigdel; Yuqian Gao; Jintang He; Anyou Wang; Carrie D Nicora; Thomas L Fillmore; Tujin Shi; Bobbie-Jo Webb-Robertson; Richard D Smith; Wei-Jun Qian; Oscar Salvatierra; David G Camp; Minnie M Sarwal
Journal:  Kidney Int       Date:  2016-03-04       Impact factor: 10.612

6.  Key driver genes as potential therapeutic targets in renal allograft rejection.

Authors:  Zhengzi Yi; Karen L Keung; Li Li; Min Hu; Bo Lu; Leigh Nicholson; Elvira Jimenez-Vera; Madhav C Menon; Chengguo Wei; Stephen Alexander; Barbara Murphy; Philip J O'Connell; Weijia Zhang
Journal:  JCI Insight       Date:  2020-08-06

7.  Urine biomarkers in renal allograft.

Authors:  Hongting Wang; Zuan-Tao Lin; Yulin Yuan; Tianfu Wu
Journal:  J Transl Int Med       Date:  2016-09-23

8.  Apolipoprotein A1 and C-terminal fragment of α-1 antichymotrypsin are candidate plasma biomarkers associated with acute renal allograft rejection.

Authors:  Mary E Ziegler; Tingchao Chen; James F LeBlanc; Xuelian Wei; David W Gjertson; Ker-Chau Li; Mazdak A Khalighi; Charles R Lassman; Jeffrey L Veale; H Albin Gritsch; Elaine F Reed
Journal:  Transplantation       Date:  2011-08-27       Impact factor: 4.939

9.  A novel urine peptide biomarker-based algorithm for the prognosis of necrotising enterocolitis in human infants.

Authors:  Karl G Sylvester; Xuefeng B Ling; G Y Liu; Zachary J Kastenberg; Jun Ji; Zhongkai Hu; Sihua Peng; Ken Lau; Fizan Abdullah; Mary L Brandt; Richard A Ehrenkranz; Mary Catherine Harris; Timothy C Lee; Joyce Simpson; Corinna Bowers; R Lawrence Moss
Journal:  Gut       Date:  2013-09-18       Impact factor: 23.059

10.  Urine Peptidomic and Targeted Plasma Protein Analyses in the Diagnosis and Monitoring of Systemic Juvenile Idiopathic Arthritis.

Authors:  Xuefeng B Ling; Kenneth Lau; Chetan Deshpande; Jane L Park; Diana Milojevic; Claudia Macaubas; Chris Xiao; Viorica Lopez-Avila; John Kanegaye; Jane C Burns; Harvey Cohen; James Schilling; Elizabeth D Mellins
Journal:  Clin Proteomics       Date:  2010-09-30       Impact factor: 3.988

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.