Rajesh Panigrahi1, Neelakshi Sarkar1, Avik Biswas1, Ananya Pal1, Debraj Saha1, Shivaram P Singh2, Manas K Panigrahi3, Manikanana Bandopadhyay1, Sekhar Chakrabarti4, Runu Chakravarty1. 1. ICMR Virus Unit Kolkata, ID and BG Hospital Campus, GB4, 1st Floor, 57 Dr S.C. Banerjee Road, Kolkata 700012, West Bengal, India. 2. Department of Gastroenterology, SCB Medical College, Cuttack, Orissa, India ; Kalinga Gastroenterology Foundation, Bajrakabati Road, Cuttack, Orissa, India. 3. Department of Gastroenterology, SCB Medical College, Cuttack, Orissa, India. 4. National Institute of Cholera and Enteric Disease, West Bengal, India.
Abstract
BACKGROUND: TNF-α promoter polymorphism has been known to be a potential predictive factor in patients with HBV infection. We therefore tried to investigate whether the TNF-α promoter polymorphism at position -238, -857 and -863 was associated with the outcome of HBV infection in a population from Orissa, southern part of East India. METHODS: A total of 195 patients recruited for the study were classified into 85 controls and 110 HBV infected cases, which included 34 IC, 30 CLD, 32 LC and 14 HCC patients. The polymorphisms at the respective sites were detected by a PCR-RFLP followed by statistical analysis. RESULTS: The frequency of the genotype -238 GG and the allele -238G in the cases (89.0% and 92.7% respectively) was significantly higher than that in the controls (68.2% and 82.2% respectively) (P < 0.001, OR = 3.8 and P = 0.001, OR = 2.73). Whereas the -238 GA genotype was significantly high in the control group (28.2%) when compared to the cases (7.2%) (P < 0.001, OR = 0.2). Similarly, the frequency of -863CC and the allele -863C was significantly higher among the cases (24.5% and 49.5%) compared to controls (1.17% and 34.7%), (P < 0.001, OR = 27.32 and P = 0.003, OR = 1.85), whereas the -863CA genotype was significantly high in the controls (67.0%) when compared to the cases (50.0%) (P = 0.01, OR = 0.49). Haplotype -863C/-857C/-238G in cases was significantly higher than controls (P = 0.002). Multivariate logistic regression analysis indicates that the genotype -863CC bears a negative association with liver disease progression. CONCLUSION: The present study established an association of polymorphisms at site -238 and -863 of the TNF-α promoter with the outcome HBV infection and disease progression.
BACKGROUND: TNF-α promoter polymorphism has been known to be a potential predictive factor in patients with HBV infection. We therefore tried to investigate whether the TNF-α promoter polymorphism at position -238, -857 and -863 was associated with the outcome of HBV infection in a population from Orissa, southern part of East India. METHODS: A total of 195 patients recruited for the study were classified into 85 controls and 110 HBV infected cases, which included 34 IC, 30 CLD, 32 LC and 14 HCC patients. The polymorphisms at the respective sites were detected by a PCR-RFLP followed by statistical analysis. RESULTS: The frequency of the genotype -238 GG and the allele -238G in the cases (89.0% and 92.7% respectively) was significantly higher than that in the controls (68.2% and 82.2% respectively) (P < 0.001, OR = 3.8 and P = 0.001, OR = 2.73). Whereas the -238 GA genotype was significantly high in the control group (28.2%) when compared to the cases (7.2%) (P < 0.001, OR = 0.2). Similarly, the frequency of -863CC and the allele -863C was significantly higher among the cases (24.5% and 49.5%) compared to controls (1.17% and 34.7%), (P < 0.001, OR = 27.32 and P = 0.003, OR = 1.85), whereas the -863CA genotype was significantly high in the controls (67.0%) when compared to the cases (50.0%) (P = 0.01, OR = 0.49). Haplotype -863C/-857C/-238G in cases was significantly higher than controls (P = 0.002). Multivariate logistic regression analysis indicates that the genotype -863CC bears a negative association with liver disease progression. CONCLUSION: The present study established an association of polymorphisms at site -238 and -863 of the TNF-α promoter with the outcome HBV infection and disease progression.
Authors: G J Fletcher; P Samuel; J Christdas; M Gnanamony; A M Ismail; R Anantharam; C E Eapen; M P Chacko; D Daniel; R Kannangai; P Abraham Journal: Genes Immun Date: 2011-05-19 Impact factor: 2.676
Authors: Anna Woziwodzka; Magda Rybicka; Alicja Sznarkowska; Tomasz Romanowski; Marcin Dręczewski; Piotr Stalke; Krzysztof Piotr Bielawski Journal: Mol Genet Genomic Med Date: 2019-08-23 Impact factor: 2.183