Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data

Background. Cytokine gene polymorphisms have been associated with poor outcomes after renal transplantation such as chronic allograft nephropathy (CAN), graft rejection (GR) and graft failure (GF), but the effects of these polymorphisms are still controversial. We therefore conducted a systematic re...

Full description

Saved in:
Bibliographic Details
Main Authors: Ammarin Thakkinstian, Svetlana Dmitrienko, Maria Gerbase-DeLima, D. Olga McDaniel, Pablo Inigo, Kai Ming Chow, Mark McEvoy, Atiporn Ingsathit, Paul Trevillian, William Henry Barber, John Attia
Other Authors: Mahidol University
Format: Article
Published: 2018
Subjects:
Online Access:https://repository.li.mahidol.ac.th/handle/123456789/19571
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Mahidol University
id th-mahidol.19571
record_format dspace
spelling th-mahidol.195712018-07-12T09:39:38Z Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data Ammarin Thakkinstian Svetlana Dmitrienko Maria Gerbase-DeLima D. Olga McDaniel Pablo Inigo Kai Ming Chow Mark McEvoy Atiporn Ingsathit Paul Trevillian William Henry Barber John Attia Mahidol University University of Newcastle, Australia The University of British Columbia Universidade Federal de Sao Paulo University of Mississippi Hospital Clinic Barcelona Prince of Wales Hospital Hong Kong John Hunter Hospital Clinical Epidemiology Unit Medicine Background. Cytokine gene polymorphisms have been associated with poor outcomes after renal transplantation such as chronic allograft nephropathy (CAN), graft rejection (GR) and graft failure (GF), but the effects of these polymorphisms are still controversial. We therefore conducted a systematic review, with individual patient data (IPD) where possible, to determine the association between cytokine polymorphisms (TGF-β1, TNF-α and IL-10) and outcomes after renal transplantation. Methods. Five investigators were willing to participate and provided IPD. The outcomes of interest were GF, GR and CAN. Subjects with at least one of these were classified as having poor outcomes. Heterogeneity of gene effects was assessed. Multiple logistic regression was applied to assess gene effects, adjusting for clinical variables such as HLA matching and age. Results. One-thousand and eighty-seven subjects were included in the IPD meta-analysis. Pooled results showed no evidence of heterogeneity and indicated that the strongest variables determining poor outcomes are HLA mismatching (OR = 1.6-1.8 for ≥3 HLA-A, -B, -DR mismatches compared with those with <3 mismatches) and age (OR = 1.2-1.4 for age 45 years or more). Incremental information on risk of a poor outcome is provided by the TGF-β1c10 polymorphism (OR = 1.5, P = 0.034, 95% CI: 1.0-2.2 for TC genotype compared to TT genotype). Haplotypes of TGF-β1 at c10 and c25 were inferred and the C-C haplotype was a marker of a poor outcome (OR = 1.3, P = 0.177, 95% CI: 1.0-2.3). Three polymorphisms of the IL-10 gene at -1082, -819, -592 are in strong linkage disequilibrium with each other (correlation coefficients: 0.6-1) and inferred haplotypes between these three loci show some association, with ACC increasing the risk of poor events com- pared to GCC (OR = 1.3, P = 0.044, 95% CI: 0.9-1.6). Conclusion. Pooled results to date suggest possible association between both the TGF-β1 c10 polymorphism and a 3-SNP-haplotype of IL-10 and poor outcomes in renal transplantation, but this needs to be confirmed in larger studies. © The Author [2008]. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved. 2018-07-12T02:39:38Z 2018-07-12T02:39:38Z 2008-09-01 Article Nephrology Dialysis Transplantation. Vol.23, No.9 (2008), 3017-3023 10.1093/ndt/gfn185 14602385 09310509 2-s2.0-50549088987 https://repository.li.mahidol.ac.th/handle/123456789/19571 Mahidol University SCOPUS https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=50549088987&origin=inward
institution Mahidol University
building Mahidol University Library
continent Asia
country Thailand
Thailand
content_provider Mahidol University Library
collection Mahidol University Institutional Repository
topic Medicine
spellingShingle Medicine
Ammarin Thakkinstian
Svetlana Dmitrienko
Maria Gerbase-DeLima
D. Olga McDaniel
Pablo Inigo
Kai Ming Chow
Mark McEvoy
Atiporn Ingsathit
Paul Trevillian
William Henry Barber
John Attia
Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data
description Background. Cytokine gene polymorphisms have been associated with poor outcomes after renal transplantation such as chronic allograft nephropathy (CAN), graft rejection (GR) and graft failure (GF), but the effects of these polymorphisms are still controversial. We therefore conducted a systematic review, with individual patient data (IPD) where possible, to determine the association between cytokine polymorphisms (TGF-β1, TNF-α and IL-10) and outcomes after renal transplantation. Methods. Five investigators were willing to participate and provided IPD. The outcomes of interest were GF, GR and CAN. Subjects with at least one of these were classified as having poor outcomes. Heterogeneity of gene effects was assessed. Multiple logistic regression was applied to assess gene effects, adjusting for clinical variables such as HLA matching and age. Results. One-thousand and eighty-seven subjects were included in the IPD meta-analysis. Pooled results showed no evidence of heterogeneity and indicated that the strongest variables determining poor outcomes are HLA mismatching (OR = 1.6-1.8 for ≥3 HLA-A, -B, -DR mismatches compared with those with <3 mismatches) and age (OR = 1.2-1.4 for age 45 years or more). Incremental information on risk of a poor outcome is provided by the TGF-β1c10 polymorphism (OR = 1.5, P = 0.034, 95% CI: 1.0-2.2 for TC genotype compared to TT genotype). Haplotypes of TGF-β1 at c10 and c25 were inferred and the C-C haplotype was a marker of a poor outcome (OR = 1.3, P = 0.177, 95% CI: 1.0-2.3). Three polymorphisms of the IL-10 gene at -1082, -819, -592 are in strong linkage disequilibrium with each other (correlation coefficients: 0.6-1) and inferred haplotypes between these three loci show some association, with ACC increasing the risk of poor events com- pared to GCC (OR = 1.3, P = 0.044, 95% CI: 0.9-1.6). Conclusion. Pooled results to date suggest possible association between both the TGF-β1 c10 polymorphism and a 3-SNP-haplotype of IL-10 and poor outcomes in renal transplantation, but this needs to be confirmed in larger studies. © The Author [2008]. Published by Oxford University Press on behalf of ERA-EDTA. All rights reserved.
author2 Mahidol University
author_facet Mahidol University
Ammarin Thakkinstian
Svetlana Dmitrienko
Maria Gerbase-DeLima
D. Olga McDaniel
Pablo Inigo
Kai Ming Chow
Mark McEvoy
Atiporn Ingsathit
Paul Trevillian
William Henry Barber
John Attia
format Article
author Ammarin Thakkinstian
Svetlana Dmitrienko
Maria Gerbase-DeLima
D. Olga McDaniel
Pablo Inigo
Kai Ming Chow
Mark McEvoy
Atiporn Ingsathit
Paul Trevillian
William Henry Barber
John Attia
author_sort Ammarin Thakkinstian
title Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data
title_short Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data
title_full Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data
title_fullStr Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data
title_full_unstemmed Association between cytokine gene polymorphisms and outcomes in renal transplantation: A meta-analysis of individual patient data
title_sort association between cytokine gene polymorphisms and outcomes in renal transplantation: a meta-analysis of individual patient data
publishDate 2018
url https://repository.li.mahidol.ac.th/handle/123456789/19571
_version_ 1763493412141531136