Literature DB >> 24323459

Identification of a protein signature in renal allograft rejection.

Diane M Cibrik1, Roscoe L Warner, Mallika Kommareddi, Peter Song, Fu L Luan, Kent J Johnson.   

Abstract

PURPOSE: Serum creatinine functions as a poor surrogate marker of renal allograft dysfunction and long-term graft survival. By measuring multiple proteins simultaneously in the serum of transplant patients, we can identify unique protein signatures of graft dysfunction. EXPERIMENTAL
DESIGN: We utilized training and validation cohorts composed of healthy and volunteer subjects, stable renal transplant patients, and renal transplant patients experiencing acute allograft rejection. Utilizing our antibody microarray, we measured 108 proteins simultaneously in these groups.
RESULTS: Using Mann-Whitney tests with Bonferroni correction, we identified ten serum proteins from 19 renal transplant patients with stable renal function, which are differentially expressed, compared to healthy control subjects. In addition, we identified 17 proteins that differentiate rejecting renal transplant recipients from stable renal transplant. Validation cohorts substantiated these findings. CONCLUSION AND CLINICAL RELEVANCE: Our preliminary results support that a specific pattern of protein expression or "protein signature" may be able to differentiate between stable transplant patients from those with rejection. Future studies will focus on other etiologies of renal allograft dysfunction and the effect of treatment on protein expression and long-term outcome.
© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Kidney transplantation; Protein array; Rejection

Mesh:

Substances:

Year:  2013        PMID: 24323459     DOI: 10.1002/prca.201200036

Source DB:  PubMed          Journal:  Proteomics Clin Appl        ISSN: 1862-8346            Impact factor:   3.494


  4 in total

1.  Doubly regularized estimation and selection in linear mixed-effects models for high-dimensional longitudinal data.

Authors:  Yun Li; Sijian Wang; Peter X-K Song; Naisyin Wang; Ling Zhou; Ji Zhu
Journal:  Stat Interface       Date:  2018-09-19       Impact factor: 0.582

Review 2.  Proteomics for rejection diagnosis in renal transplant patients: Where are we now?

Authors:  Wilfried Gwinner; Jochen Metzger; Holger Husi; David Marx
Journal:  World J Transplant       Date:  2016-03-24

3.  A LASSO Method to Identify Protein Signature Predicting Post-transplant Renal Graft Survival.

Authors:  Ling Zhou; Lu Tang; Angela T Song; Diane M Cibrik; Peter X-K Song
Journal:  Stat Biosci       Date:  2016-10-03

Review 4.  Non-invasive approaches in the diagnosis of acute rejection in kidney transplant recipients, part II: omics analyses of urine and blood samples.

Authors:  Pauline Erpicum; Oriane Hanssen; Laurent Weekers; Pierre Lovinfosse; Paul Meunier; Luaba Tshibanda; Jean-Marie Krzesinski; Roland Hustinx; François Jouret
Journal:  Clin Kidney J       Date:  2016-09-06
  4 in total

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