Q Q Wan1, Q F Ye, Y Ma, J D Zhou. 1. Department of Transplant Surgery, the Third Affiliated Hospital, Central South University, Changsha, Hunan, China. wangshaofachina@163.com
Abstract
BACKGROUND: Bacteremia remains a significant cause of morbidity and mortality after kidney transplantation. The present study was conducted to determine the influence of the polymorphisms of interleukin-1 β (IL-1 β) and IL-1 receptor antagonist gene (IL-1RN) on the susceptibility to bacteremia within the first year after kidney transplantation. METHODS: Twenty-one bacteremic and 60 noninfected kidney transplant recipients, underwent extraction genomic DNA, from peripheral blood leukocytes. The region containing the AvaI polymorphic site at position -511 of 1L-I β gene was amplified by a polymerase chain reaction (PCR) and subsequently digested with AvaI restriction enzyme. The polymorphic regions within intron 2 of IL-1RN, containing variable numbers of a tandem repeat of 86 base pairs, were amplified by PCR. RESULTS: We observed greater frequency of the IL-1 β -511CC genotype and IL-1 β -511C allele among bacteremic versus noninfected recipients (P = .023 and P = .015, respectively). In contrast, the current study failed to show significant difference, either in genotypic or allelic frequency, for the IL-1RN polymorphisms regarding the incidence of bacteremia (P = .508 and P = .507, respectively). After adjustment we observed recipient IL-1 β -511CC genotype (odds ratio [OR] = 4.400, 95% confidence interval [CI] = 1.517-12.759, P = .006) and recipient IL-1 β-511C allele (OR = 2.444, 95% Cl = 1.172-5.100, P = .015) to predict independently the risk for bacteremia within the first year after kidney transplantation. CONCLUSION: The present work provided evidence that recipient IL-1 β -511CC genotype or IL-1 β -511C allele was associated with susceptibility to bacteremia within the first year after kidney transplantation. These results suggested that genotyping data may afford a more accurate prediction of bacteremia and the design of strategies to protect the most vulnerable patients.
BACKGROUND:Bacteremia remains a significant cause of morbidity and mortality after kidney transplantation. The present study was conducted to determine the influence of the polymorphisms of interleukin-1 β (IL-1 β) and IL-1 receptor antagonist gene (IL-1RN) on the susceptibility to bacteremia within the first year after kidney transplantation. METHODS: Twenty-one bacteremic and 60 noninfected kidney transplant recipients, underwent extraction genomic DNA, from peripheral blood leukocytes. The region containing the AvaI polymorphic site at position -511 of 1L-I β gene was amplified by a polymerase chain reaction (PCR) and subsequently digested with AvaI restriction enzyme. The polymorphic regions within intron 2 of IL-1RN, containing variable numbers of a tandem repeat of 86 base pairs, were amplified by PCR. RESULTS: We observed greater frequency of the IL-1 β -511CC genotype and IL-1 β -511C allele among bacteremic versus noninfected recipients (P = .023 and P = .015, respectively). In contrast, the current study failed to show significant difference, either in genotypic or allelic frequency, for the IL-1RN polymorphisms regarding the incidence of bacteremia (P = .508 and P = .507, respectively). After adjustment we observed recipient IL-1 β -511CC genotype (odds ratio [OR] = 4.400, 95% confidence interval [CI] = 1.517-12.759, P = .006) and recipient IL-1 β-511C allele (OR = 2.444, 95% Cl = 1.172-5.100, P = .015) to predict independently the risk for bacteremia within the first year after kidney transplantation. CONCLUSION: The present work provided evidence that recipient IL-1 β -511CC genotype or IL-1 β -511C allele was associated with susceptibility to bacteremia within the first year after kidney transplantation. These results suggested that genotyping data may afford a more accurate prediction of bacteremia and the design of strategies to protect the most vulnerable patients.
Authors: Filippo Mearelli; Giulia Barbati; Francesca Spagnol; Alessio Nunnari; Luigi Mario Castello; Enrico Lupia; Maria Lorenza Muiesan; Salvatore Di Somma; Gian Carlo Avanzi; Gianni Biolo Journal: Biomedicines Date: 2022-02-01
Authors: Lisa M Esteves; Sara M Bulhões; Claudia C Branco; Francisco M Mota; Clara Paiva; Rita Cabral; Maria Luisa Vieira; Luisa Mota-Vieira Journal: PLoS One Date: 2014-09-25 Impact factor: 3.240