BACKGROUND: In vitro production of tumor necrosis factor-alpha (TNF-alpha), interferon-gamma (IFN-gamma), interleukin 10 (IL-10), and transforming growth factor-beta (TGF-beta) correlate with their respective genetic polymorphisms. We analyzed the relationship between these genetic polymorphisms and posttransplant outcome. METHODS: Using DNA polymerase chain reaction (PCR) technology, polymorphisms for TNF-alpha, IFN-gamma, IL-10, and TGF-beta were determined for 82 kidney (K) and 19 simultaneous kidney-pancreas (SKP) recipients. These results were analyzed with regard to the incidence of acute rejection (AR), and the timing and severity of the first AR episode. RESULTS: A high TNF-alpha production phenotype correlated with recurrent acute rejection (AR) episodes (P<0.026). Compared with the low TNF-alpha production phenotype, more patients with the high production phenotype had a post-AR serum creatinine >2.0 mg/dl, but this was not statistically significant (64 vs. 35%, P=0.12). There was no relationship between TNF-alpha genotype and the time to first AR episode or incidence of graft loss. IFN-gamma production phenotype showed no correlation with any of these clinical outcome parameters. There was an increase in AR incidence as the IL-10 production phenotype increased (low, intermediate, high), but only in low TNF-alpha producer phenotypes (P=0.023). CONCLUSIONS: Patients with a polymorphic cytokine genotype putatively encoding for high in vivo TNF-alpha production, and to a lesser extent IL-10 cytokine genotypes putatively encoding for higher levels of in vivo IL-10 production, had a worse clinical outcome regarding AR episodes. These data support the hypothesis that the strength of alloimmune responsiveness after transplantation in part is genetically determined.
BACKGROUND: In vitro production of tumor necrosis factor-alpha (TNF-alpha), interferon-gamma (IFN-gamma), interleukin 10 (IL-10), and transforming growth factor-beta (TGF-beta) correlate with their respective genetic polymorphisms. We analyzed the relationship between these genetic polymorphisms and posttransplant outcome. METHODS: Using DNA polymerase chain reaction (PCR) technology, polymorphisms for TNF-alpha, IFN-gamma, IL-10, and TGF-beta were determined for 82 kidney (K) and 19 simultaneous kidney-pancreas (SKP) recipients. These results were analyzed with regard to the incidence of acute rejection (AR), and the timing and severity of the first AR episode. RESULTS: A high TNF-alpha production phenotype correlated with recurrent acute rejection (AR) episodes (P<0.026). Compared with the low TNF-alpha production phenotype, more patients with the high production phenotype had a post-AR serum creatinine >2.0 mg/dl, but this was not statistically significant (64 vs. 35%, P=0.12). There was no relationship between TNF-alpha genotype and the time to first AR episode or incidence of graft loss. IFN-gamma production phenotype showed no correlation with any of these clinical outcome parameters. There was an increase in AR incidence as the IL-10 production phenotype increased (low, intermediate, high), but only in low TNF-alpha producer phenotypes (P=0.023). CONCLUSIONS:Patients with a polymorphic cytokine genotype putatively encoding for high in vivo TNF-alpha production, and to a lesser extent IL-10 cytokine genotypes putatively encoding for higher levels of in vivo IL-10 production, had a worse clinical outcome regarding AR episodes. These data support the hypothesis that the strength of alloimmune responsiveness after transplantation in part is genetically determined.
Authors: M W H J Demmers; S S Korevaar; M Roemeling-van Rhijn; T P P van den Bosch; M J Hoogduijn; M G H Betjes; W Weimar; C C Baan; A T Rowshani Journal: Clin Exp Immunol Date: 2015-03 Impact factor: 4.330
Authors: M A Dalboni; B M R Quinto; C C Grabulosa; R Narciso; J C Monte; M Durão; L Rizzo; M Cendoroglo; O P Santos; M C Batista Journal: Clin Exp Immunol Date: 2013-08 Impact factor: 4.330
Authors: Martijn W H J Demmers; Carla C Baan; Els van Beelen; Jan N M Ijzermans; Willem Weimar; Ajda T Rowshani Journal: PLoS One Date: 2013-05-22 Impact factor: 3.240