- Poster presentation
- Open Access
Predominance of HBV genotype D in southern part of India
© Narayanan et al; licensee BioMed Central Ltd. 2014
- Published: 27 May 2014
We’re sorry, something doesn't seem to be working properly.
Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.
- Clinical Management
- Viral Factor
- Reference Sample
- Clinical Categorization
- Escape Mutant
The clinical outcome of HBV infection is highly heterogeneous which correlates with viral factors such as genotypes, viremia and mutants. Evidences showed that HBV genotypes have a role in prevalence of variants, IFN therapy and disease severity. So far, 10 HBV genotypes (A to J) have been identified with distinct geographical distribution. Hence, knowledge of the genotype infecting an individual may assist a physician making a decision towards better clinical management. The aim of this study is to identify the circulating HBV genotypes (A e) and its correlation with clinical manifestation.
A cohort of 72 patients (Acute: 11; Asymptomatic: 36; Chronic: 24; and HCC: 1) attending the Govt. Rajaji Hospital, Madurai, was recruited. Clinical categorization was based on biochemical and viral markers. Viral DNA extraction was carried out from serum samples and genotyping was done by multiplex PCR.
Multiplex PCR was optimized with viral reference samples. Each reaction was carried out with five pairs of primers. We could observe only genotype D in this cohort (100%). None of the samples were assigned with other genotypes.
HBV genotype D has a major role in emergence of precore mutants (1896 G>A) leading to diagnostic failure, vaccine escape mutants, and poor clinical response while therapy.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.