Literature DB >> 19561149

Genetic interactions between the donor and the recipient for susceptibility to acute rejection in kidney transplantation: polymorphisms of CCR5.

Ran-hui Cha1, Seung Hee Yang, Hyo Sang Kim, Sun Moon Kim, Myoung Hee Park, Jongwon Ha, Yon Su Kim.   

Abstract

BACKGROUND: Acute rejection (AR) contributes to the development of chronic allograft nephropathy that is the major cause of graft failure. We analyzed the 59029G>A polymorphism and an internal 32 bp deletion (CCR5 32) of CCR chemokine receptor 5 (CCR5) Delta and tried to prove the hypothesis that genetic interactions between the donor and the recipient influence the development of AR.
METHODS: We detected genetic polymorphisms by the TaqMan(R) method and by sizing PCR amplicons (n = 486). The primary outcomes were early acute rejection (EAR) and repeated early acute rejection (RR). We defined EAR as the occurrence of a biopsy-proven AR within 3 months after transplantation.
RESULTS: The development of EAR was dependent on the number of A alleles in recipients and showed a dose-response relationship (P = 0.002). When we combined the number of A alleles in both donor and recipient, episodes of EAR and RR were more prevalent as the allelic number increased (A allelic number 0 & 1, 2 versus 3 & 4, P = 0.048; 0 & 1 versus 3 & 4, P = 0.006). Statistical significance was preserved after multivariate analysis of sex, HLA mismatch and type of donor with the recipient's age as the continuous term. Also, graft survival was different according to the presence of the A allele, i.e. recipients carrying A allele (+) grafts showed poor graft survival (P = 0.008 by a log-rank test). Again, the number of A alleles affected graft survival as the recipients who carried more A alleles had poor graft survival (A allele number 0 & 1 versus 2 versus 3 & 4, P = 0.011; 0 & 1 versus 3 & 4, P = 0.08; 0 & 1 versus 2, P = 0.002; by a log-rank test). All of the participants were wild-type homozygotes for CCR5Delta32.
CONCLUSIONS: The A allele of CCR5 59029G>A was a risk factor for EAR and RR. As the number of A alleles increased, episodes of EAR were more frequently observed.

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Year:  2009        PMID: 19561149     DOI: 10.1093/ndt/gfp317

Source DB:  PubMed          Journal:  Nephrol Dial Transplant        ISSN: 0931-0509            Impact factor:   5.992


  11 in total

1.  Validation of single nucleotide polymorphisms associated with acute rejection in kidney transplant recipients using a large multi-center cohort.

Authors:  William S Oetting; David P Schladt; Robert E Leduc; Pamala A Jacobson; Weihua Guan; Arthur J Matas; Ajay Israni
Journal:  Transpl Int       Date:  2011-09-29       Impact factor: 3.782

2.  Concordance of CCR5 genotypes that influence cell-mediated immunity and HIV-1 disease progression rates.

Authors:  Gabriel Catano; Zoya A Chykarenko; Andrea Mangano; J-M Anaya; Weijing He; Alison Smith; Rosa Bologna; Luisa Sen; Robert A Clark; Andrew Lloyd; Ludmila Shostakovich-Koretskaya; Sunil K Ahuja
Journal:  J Infect Dis       Date:  2011-01-15       Impact factor: 5.226

3.  Analysis of 75 Candidate SNPs Associated With Acute Rejection in Kidney Transplant Recipients: Validation of rs2910164 in MicroRNA MIR146A.

Authors:  William S Oetting; David P Schladt; Casey R Dorr; Baolin Wu; Weihua Guan; Rory P Remmel; David Iklé; Roslyn B Mannon; Arthur J Matas; Ajay K Israni; Pamala A Jacobson
Journal:  Transplantation       Date:  2019-08       Impact factor: 4.939

Review 4.  Susceptibility genes in common complex kidney disease.

Authors:  Jasmin Divers; Barry I Freedman
Journal:  Curr Opin Nephrol Hypertens       Date:  2010-01       Impact factor: 2.894

5.  Validation of genetic variants associated with early acute rejection in kidney allograft transplantation.

Authors:  William S Oetting; Yanni Zhu; Marcia J Brott; Arthur J Matas; Gretchen K Cordner; Wei Pan
Journal:  Clin Transplant       Date:  2011-09-15       Impact factor: 2.863

Review 6.  Genetics of acute rejection after kidney transplantation.

Authors:  Casey R Dorr; William S Oetting; Pamala A Jacobson; Ajay K Israni
Journal:  Transpl Int       Date:  2017-11-08       Impact factor: 3.782

7.  Chemokine (CCR) and fractalkine (CX3CR) receptors and end stage renal disease.

Authors:  Minal Borkar; Gaurav Tripathi; Raj Kumar Sharma; Satya Narayan Sankhwar; Suraksha Agrawal
Journal:  Inflamm Res       Date:  2010-12-04       Impact factor: 4.575

8.  Associations of fractalkine receptor (CX3CR1) and CCR5 gene variants with hypertension, diabetes and atherosclerosis in chronic renal failure patients undergoing hemodialysis.

Authors:  Binnur Bagci; Gokhan Bagci; Can Huzmeli; Ilhan Sezgin; Ozturk Ozdemir
Journal:  Int Urol Nephrol       Date:  2016-04-27       Impact factor: 2.370

9.  Genetic predisposition of donors affects the allograft outcome in kidney transplantation; polymorphisms of stromal-derived factor-1 and CXC receptor 4.

Authors:  Jung Pyo Lee; Jong Bin Bae; Seung Hee Yang; Ran-Hui Cha; Eun Young Seong; Yang Jin Park; Jongwon Ha; Myoung Hee Park; Jin Ho Paik; Yon Su Kim
Journal:  PLoS One       Date:  2011-02-03       Impact factor: 3.240

10.  Chemokine receptor 5 blockade modulates macrophage trafficking in renal ischaemic-reperfusion injury.

Authors:  Kyung Don Yoo; Ran-Hui Cha; Sunhwa Lee; Ji Eun Kim; Kyu Hong Kim; Jong Soo Lee; Dong Ki Kim; Yon Su Kim; Seung Hee Yang
Journal:  J Cell Mol Med       Date:  2020-03-30       Impact factor: 5.310

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