Literature DB >> 24335474

The identification of novel potential injury mechanisms and candidate biomarkers in renal allograft rejection by quantitative proteomics.

Tara K Sigdel1, Nathan Salomonis, Carrie D Nicora, Soyoung Ryu, Jintang He, Van Dinh, Daniel J Orton, Ronald J Moore, Szu-Chuan Hsieh, Hong Dai, Minh Thien-Vu, Wenzhong Xiao, Richard D Smith, Wei-Jun Qian, David G Camp, Minnie M Sarwal.   

Abstract

Early transplant dysfunction and failure because of immunological and nonimmunological factors still presents a significant clinical problem for transplant recipients. A critical unmet need is the noninvasive detection and prediction of immune injury such that acute injury can be reversed by proactive immunosuppression titration. In this study, we used iTRAQ -based proteomic discovery and targeted ELISA validation to discover and validate candidate urine protein biomarkers from 262 renal allograft recipients with biopsy-confirmed allograft injury. Urine samples were randomly split into a training set of 108 patients and an independent validation set of 154 patients, which comprised the clinical biopsy-confirmed phenotypes of acute rejection (AR) (n = 74), stable graft (STA) (n = 74), chronic allograft injury (CAI) (n = 58), BK virus nephritis (BKVN) (n = 38), nephrotic syndrome (NS) (n = 8), and healthy, normal control (HC) (n = 10). A total of 389 proteins were measured that displayed differential abundances across urine specimens of the injury types (p < 0.05) with a significant finding that SUMO2 (small ubiquitin-related modifier 2) was identified as a "hub" protein for graft injury irrespective of causation. Sixty-nine urine proteins had differences in abundance (p < 0.01) in AR compared with stable graft, of which 12 proteins were up-regulated in AR with a mean fold increase of 2.8. Nine urine proteins were highly specific for AR because of their significant differences (p < 0.01; fold increase >1.5) from all other transplant categories (HLA class II protein HLA-DRB1, KRT14, HIST1H4B, FGG, ACTB, FGB, FGA, KRT7, DPP4). Increased levels of three of these proteins, fibrinogen beta (FGB; p = 0.04), fibrinogen gamma (FGG; p = 0.03), and HLA DRB1 (p = 0.003) were validated by ELISA in AR using an independent sample set. The fibrinogen proteins further segregated AR from BK virus nephritis (FGB p = 0.03, FGG p = 0.02), a finding that supports the utility of monitoring these urinary proteins for the specific and sensitive noninvasive diagnosis of acute renal allograft rejection.

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Year:  2013        PMID: 24335474      PMCID: PMC3916658          DOI: 10.1074/mcp.M113.030577

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  49 in total

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2.  Banff 2003 meeting report: new diagnostic insights and standards.

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Review 3.  Protein and peptide biomarkers in organ transplantation.

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4.  Messenger RNA for FOXP3 in the urine of renal-allograft recipients.

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Review 6.  Urine proteomics biomarkers in renal transplantation: an overview.

Authors:  Luis F Quintana; Elisenda Bañon-Maneus; Amanda Solé-Gonzalez; Josep M Campistol
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Review 7.  Rejection and function and chronic allograft dysfunction.

Authors:  Johan W de Fijter
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8.  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
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9.  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
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  26 in total

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2.  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

Review 3.  Moving Biomarkers toward Clinical Implementation in Kidney Transplantation.

Authors:  Madhav C Menon; Barbara Murphy; Peter S Heeger
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Review 4.  Biomarkers and Pharmacogenomics in Kidney Transplantation.

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Review 5.  Antibody-mediated rejection in pediatric kidney transplantation: pathophysiology, diagnosis, and management.

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Review 6.  Proteomics for rejection diagnosis in renal transplant patients: Where are we now?

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Journal:  World J Transplant       Date:  2016-03-24

7.  Quantitative mass spectrometry of urinary biomarkers.

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8.  LC-SRM-Based Targeted Quantification of Urinary Protein Biomarkers.

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Journal:  Methods Mol Biol       Date:  2018

Review 9.  Advances in diagnostics for transplant rejection.

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Review 10.  The Use of Genomics and Pathway Analysis in Our Understanding and Prediction of Clinical Renal Transplant Injury.

Authors:  Madhav C Menon; Karen L Keung; Barbara Murphy; Philip J OʼConnell
Journal:  Transplantation       Date:  2016-07       Impact factor: 4.939

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