Literature DB >> 17622313

Evaluation of gene panel mRNAs in urine samples of kidney transplant recipients as a non-invasive tool of graft function.

Valeria R Mas1, Luciana A Mas, Kellie J Archer, Kenneth Yanek, Anne L King, Eric M Gibney, Adrian Cotterell, Robert A Fisher, Marc Posner, Daniel G Maluf.   

Abstract

Non-invasive monitoring may be useful after kidney transplantation (KT), particularly for predicting acute rejection (AR). It is less clear whether chronic allograft nephropathy (CAN) is also associated with changes in urine cells. To identify non-invasive markers of allograft function in kidney transplant patients (KTP), mRNA levels of AGT, TGF-beta1, EGFR, IFN-gamma, TSP-1, and IL-10 in urine (Ur) samples were studied using QRT-PCR. Ninety-five KTP and 111 Ur samples were evaluated. Patients (Pts) were divided as, within six months (N = 31), and with more than six months post-KT (N = 64). KTP with more than six months post-KT were classified as KTP with stable kidney function (SKF) (N = 32), KTP with SKF (creatinine < 2 mg/dL) and proteinuria > 500 mg/24 h (N = 18), and KTP with biopsy proven CAN (N = 14). F-test was used to test for equality of variances between groups. IL-10 mRNA was decreased in Ur samples from KTP with less than six months post-KT (P = 0.005). For KTR groups with more than six months post-KT, AGT and EGFR mRNA were statistically different among KTP with SKF, KTP with SKF and proteinuria, and CAN Pts (P = 0.003, and P = 0.01), with KTP with SKF having higher mean expression. TSP-1 mRNA levels also were significantly different among these three groups (P = 0.04), with higher expression observed in CAN Pts. Using the random forest algorithm, AGT, EGFR, and TGF-beta1 were identified as predictors of CAN, SKF, SKF with proteinuria. A characteristic pattern of mRNA levels in the different KTP groups was observed indicating that the mRNA levels in Ur cells might reflect allograft function.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17622313      PMCID: PMC1906687          DOI: 10.2119/2007–00017.Mas

Source DB:  PubMed          Journal:  Mol Med        ISSN: 1076-1551            Impact factor:   6.354


  44 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.  Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.

Authors:  K J Livak; T D Schmittgen
Journal:  Methods       Date:  2001-12       Impact factor: 3.608

3.  Impact of delayed graft function and acute rejection on kidney graft survival.

Authors:  D W Gjertson
Journal:  Clin Transpl       Date:  2000

4.  Molecular and structural consequences of early renal allograft injury.

Authors:  Keshwar Baboolal; Geraint A Jones; Alenka Janezic; David R Griffiths; Wieslaw A Jurewicz
Journal:  Kidney Int       Date:  2002-02       Impact factor: 10.612

5.  Comparing methods for monitoring serum creatinine to predict late renal allograft failure.

Authors:  B L Kasiske; M A Andany; D Hernández; J Silkensen; H Rabb; J McClean; J P Roel; B Danielson
Journal:  Am J Kidney Dis       Date:  2001-11       Impact factor: 8.860

6.  Angiotensin II signaling and HB-EGF shedding via metalloproteinase in glomerular mesangial cells.

Authors:  Y Uchiyama-Tanaka; H Matsubara; Y Nozawa; S Murasawa; Y Mori; A Kosaki; K Maruyama; H Masaki; Y Shibasaki; S Fujiyama; A Nose; O Iba; T Hasagawa; E Tateishi; S Higashiyama; T Iwasaka
Journal:  Kidney Int       Date:  2001-12       Impact factor: 10.612

Review 7.  Role of transforming growth factor-beta1 in the progression of chronic allograft nephropathy.

Authors:  J M Campistol; P Iñigo; S Larios; M Bescos; F Oppenheimer
Journal:  Nephrol Dial Transplant       Date:  2001       Impact factor: 5.992

8.  Cytokine and cytotoxic molecule gene expression determined in peripheral blood mononuclear cells in the diagnosis of acute renal rejection.

Authors:  F J Dugré; S Gaudreau; M Belles-Isles; I Houde; R Roy
Journal:  Transplantation       Date:  2000-10-15       Impact factor: 4.939

9.  Early prognosis of the development of renal chronic allograft rejection by gene expression profiling of human protocol biopsies.

Authors:  Andreas Scherer; Andreas Krause; John R Walker; Alexander Korn; Detlef Niese; Friedrich Raulf
Journal:  Transplantation       Date:  2003-04-27       Impact factor: 4.939

10.  Intragraft messenger RNA expression of angiotensinogen: relationship with transforming growth factor beta-1 and chronic allograft nephropathy in kidney transplant patients.

Authors:  V Mas; T Alvarellos; C Giraudo; P Massari; G De Boccardo
Journal:  Transplantation       Date:  2002-09-15       Impact factor: 4.939

View more
  11 in total

Review 1.  The role of CD47 in pathogenesis and treatment of renal ischemia reperfusion injury.

Authors:  Jeffrey S Isenberg; David D Roberts
Journal:  Pediatr Nephrol       Date:  2018-11-03       Impact factor: 3.714

2.  Multicenter evaluation of a standardized protocol for noninvasive gene expression profiling.

Authors:  K S Keslar; M Lin; A A Zmijewska; T K Sigdel; T Q Tran; L Ma; M Bhasin; P Rao; R Ding; D N Iklé; R B Mannon; M M Sarwal; T B Strom; E F Reed; P S Heeger; M Suthanthiran; R L Fairchild
Journal:  Am J Transplant       Date:  2013-07       Impact factor: 8.086

Review 3.  Molecular pathways involved in loss of graft function in kidney transplant recipients.

Authors:  Valeria R Mas; Kellie J Archer; Mariano Scian; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2010-04       Impact factor: 5.225

4.  A new clinical prediction tool for 5-year kidney transplant outcome.

Authors:  Colin R Lenihan; Joseph B Lockridge; Jane C Tan
Journal:  Am J Kidney Dis       Date:  2014-04       Impact factor: 8.860

5.  Identifying biomarkers as diagnostic tools in kidney transplantation.

Authors:  Valeria R Mas; Thomas F Mueller; Kellie J Archer; Daniel G Maluf
Journal:  Expert Rev Mol Diagn       Date:  2011-03       Impact factor: 5.225

Review 6.  Perforin: An intriguing protein in allograft rejection immunology (Review).

Authors:  Ana-Maria Pașatu-Cornea; Elena Ciciu; Liliana-Ana Tuță
Journal:  Exp Ther Med       Date:  2022-06-15       Impact factor: 2.751

Review 7.  Noninvasive prediction of organ graft rejection and outcome using gene expression patterns.

Authors:  Dany Anglicheau; Manikkam Suthanthiran
Journal:  Transplantation       Date:  2008-07-27       Impact factor: 4.939

8.  The urine microRNA profile may help monitor post-transplant renal graft function.

Authors:  Daniel G Maluf; Catherine I Dumur; Jihee L Suh; Mariano J Scian; Anne L King; Helen Cathro; Jae K Lee; Ricardo C Gehrau; Kenneth L Brayman; Lorenzo Gallon; Valeria R Mas
Journal:  Kidney Int       Date:  2013-09-11       Impact factor: 10.612

9.  Kidney transplantation: analysis of the expression and T cell-mediated activation of latent TGF-β.

Authors:  Joseph D P Willet; Watchara Pichitsiri; Sarah E Jenkinson; John G Brain; Katrina Wood; Abd A Alhasan; Julia Spielhofer; Helen Robertson; Simi Ali; John A Kirby
Journal:  J Leukoc Biol       Date:  2012-11-27       Impact factor: 4.962

10.  A New Data Analysis System to Quantify Associations between Biochemical Parameters of Chronic Kidney Disease-Mineral Bone Disease.

Authors:  Mariano Rodriguez; M Dolores Salmeron; Alejandro Martin-Malo; Carlo Barbieri; Flavio Mari; Rafael I Molina; Pedro Costa; Pedro Aljama
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.