Debojyoti Bhattacharjee1, Kheya Mukherjee2, Goutam Chakroborti3, Ranadeep Ghosh4, Nabarun Mandal5, Mohua Bose6. 1. Assistant Professor, Department of Biochemistry, Calcutta National Medical College , 32, Gorachand Road, Kolkata, West Bengal, India . 2. Assistant Professor, Department Of Microbiology, Nilratan Sarkar Medical College , Kolkata, West Bengal, India . 3. Assistant Professor, Department Of Biochemistry, Burdwan Medical College , Burdwan, West Bengal, India . 4. Assistant Professor, Department Of Microbiology, Nilratan Sircar Medical College , Kolkata, West Bengal, India . 5. Demonstrator, Department Of Biochemistry, Midnapore Medical College , Paschim Midnapore, West Bengal, India . 6. Associate Professor, Department of Microbiology, Murshidabad Medical College , West Bengal, India .
Abstract
BACKGROUND: Hepatitis C virus infection is a leading cause for chronic liver disease. It has wide population specific genotype variability. Genotype knowledge and viral load assessment are equally important for designing therapeutic strategies and as predictors of treatment outcome among hepatitis C (HCV) infected patients. MATERIALS AND METHODS: Between June 2012 and 2013 an observational study was conducted among 350 chronic hepatitis patients visiting Calcutta National Medical College, Kolkata, India. Among them, 110 anti-HCV antibody positive cases were diagnosed and subjected to viral RNA extraction, viral genotyping and viral load quantification using polymerase chain reaction (PCR) based techniques. STATISTICAL ANALYSIS: Statistical analysis was done with IBM SPSS Statistics software, version 20. p-value <0.05 was regarded as statically significant. RESULTS: Among 66 HCV RNA positive cases, genotypes 1a, 3a and 3b were observed among 18 (27%), 44(67%) and 4(6%) cases respectively. Genotype 3a had higher viral load than patients infected with genotypes 1and 3b. However, no statistical significance was observed for viral load among the various HCV RNA genotypes. CONCLUSION: Genotype 3a accounted for the highest number of cases with positive HCV RNA. However, no statistically significant difference existed for viral load among the various HCV RNA genotypes in this study.
BACKGROUND:Hepatitis C virus infection is a leading cause for chronic liver disease. It has wide population specific genotype variability. Genotype knowledge and viral load assessment are equally important for designing therapeutic strategies and as predictors of treatment outcome among hepatitis C (HCV) infectedpatients. MATERIALS AND METHODS: Between June 2012 and 2013 an observational study was conducted among 350 chronic hepatitispatients visiting Calcutta National Medical College, Kolkata, India. Among them, 110 anti-HCV antibody positive cases were diagnosed and subjected to viral RNA extraction, viral genotyping and viral load quantification using polymerase chain reaction (PCR) based techniques. STATISTICAL ANALYSIS: Statistical analysis was done with IBM SPSS Statistics software, version 20. p-value <0.05 was regarded as statically significant. RESULTS: Among 66 HCV RNA positive cases, genotypes 1a, 3a and 3b were observed among 18 (27%), 44(67%) and 4(6%) cases respectively. Genotype 3a had higher viral load than patients infected with genotypes 1and 3b. However, no statistical significance was observed for viral load among the various HCV RNA genotypes. CONCLUSION: Genotype 3a accounted for the highest number of cases with positive HCV RNA. However, no statistically significant difference existed for viral load among the various HCV RNA genotypes in this study.
Authors: G Dusheiko; H Schmilovitz-Weiss; D Brown; F McOmish; P L Yap; S Sherlock; N McIntyre; P Simmonds Journal: Hepatology Date: 1994-01 Impact factor: 17.425
Authors: Ana María Rivas-Estilla; Paula Cordero-Pérez; Karina del Carmen Trujillo-Murillo; Javier Ramos-Jiménez; Carlos Chen-López; María de L Garza-Rodríguez; Angel Ramírez-Gutiérrez; Linda Muñoz-Espinosa Journal: Ann Hepatol Date: 2008 Apr-Jun Impact factor: 2.400
Authors: H Tokita; H Okamoto; P Luengrojanakul; K Vareesangthip; T Chainuvati; H Iizuka; F Tsuda; Y Miyakawa; M Mayumi Journal: J Gen Virol Date: 1995-09 Impact factor: 3.891