scholarly journals Detection of Hepatitis B Virus Drug Resistance Mutations by Pyrosequencing Method

Author(s):  
Mehmet ÇİMENTEPE ◽  
Deniz YILDIRIM ◽  
Süheyla KÖMÜR ◽  
Buket ŞEFLEK ◽  
Deniz ÖZDOĞRU SAĞDIÇ ◽  
...  
2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Elin Teppa ◽  
Francesca Nadalin ◽  
Christophe Combet ◽  
Diego Javier Zea ◽  
Laurent David ◽  
...  

Abstract The study of mutational landscapes of viral proteins is fundamental for the understanding of the mechanisms of cross-resistance to drugs and the design of effective therapeutic strategies based on several drugs. Antiviral therapy with nucleos(t)ide analogues targeting the hepatitis B virus (HBV) polymerase protein (Pol) can inhibit disease progression by suppression of HBV replication and makes it an important case study. In HBV, treatment may fail due to the emergence of drug-resistant mutants. Primary and compensatory mutations have been associated with lamivudine resistance, whereas more complex mutational patterns are responsible for resistance to other HBV antiviral drugs. So far, all known drug-resistance mutations are located in one of the four Pol domains, called reverse transcriptase. We demonstrate that sequence covariation identifies drug-resistance mutations in viral sequences. A new algorithmic strategy, BIS2TreeAnalyzer, is designed to apply the coevolution analysis method BIS2, successfully used in the past on small sets of conserved sequences, to large sets of evolutionary related sequences. When applied to HBV, BIS2TreeAnalyzer highlights diversified viral solutions by discovering thirty-seven positions coevolving with residues known to be associated with drug resistance and located on the four Pol domains. These results suggest a sequential mechanism of emergence for some mutational patterns. They reveal complex combinations of positions involved in HBV drug resistance and contribute with new information to the landscape of HBV evolutionary solutions. The computational approach is general and can be applied to other viral sequences when compensatory mutations are presumed.


2016 ◽  
Vol 54 (11) ◽  
pp. 2661-2668 ◽  
Author(s):  
Yi Mou ◽  
Muhammad Ammar Athar ◽  
Yuzhen Wu ◽  
Ye Xu ◽  
Jianhua Wu ◽  
...  

Detection of anti-hepatitis B virus (HBV) drug resistance mutations is critical for therapeutic decisions for chronic hepatitis B virus infection. We describe a real-time PCR-based assay using multicolor melting curve analysis (MMCA) that could accurately detect 24 HBV nucleotide mutations at 10 amino acid positions in the reverse transcriptase region of the HBV polymerase gene. The two-reaction assay had a limit of detection of 5 copies per reaction and could detect a minor mutant population (5% of the total population) with the reverse transcriptase M204V amino acid mutation in the presence of the major wild-type population when the overall concentration was 10 4 copies/μl. The assay could be finished within 3 h, and the cost of materials for each sample was less than $10. Clinical validation studies using three groups of samples from both nucleos(t)ide analog-treated and -untreated patients showed that the results for 99.3% (840/846) of the samples and 99.9% (8,454/8,460) of the amino acids were concordant with those of Sanger sequencing of the PCR amplicon from the HBV reverse transcriptase region (PCR Sanger sequencing). HBV DNA in six samples with mixed infections consisting of minor mutant subpopulations was undetected by the PCR Sanger sequencing method but was detected by MMCA, and the results were confirmed by coamplification at a lower denaturation temperature-PCR Sanger sequencing. Among the treated patients, 48.6% (103/212) harbored viruses that displayed lamivudine monoresistance, adefovir monoresistance, entecavir resistance, or lamivudine and adefovir resistance. Among the untreated patients, the Chinese group had more mutation-containing samples than did the Pakistani group (3.3% versus 0.56%). Because of its accuracy, rapidness, wide-range coverage, and cost-effectiveness, the real-time PCR assay could be a robust tool for the detection if anti-HBV drug resistance mutations in resource-limited countries.


2019 ◽  
Author(s):  
Y. Yu ◽  
W.M. Schneider ◽  
E. Michailidis ◽  
A. Acevedo ◽  
Y. Ni ◽  
...  

AbstractHepatitis B virus (HBV) chronically infects over 250 million people worldwide, increasing their risk of liver cirrhosis and hepatocellular carcinoma. There is a vaccine to prevent new infections, but no efficient cure for chronic infection. New insights into HBV biology are needed to improve cure rates for this widespread devastating disease. We describe a method to initiate replication of HBV, a DNA virus, using synthetic RNA. This approach has several advantages over existing systems: it eliminates contaminating background signal from input virus or plasmid DNA and can be easily adapted to multiple genotypes and mutants. Further, it can be applied to identify anti-HBV compounds, measure anti-HBV drug efficiency, study virus evolution, and, as we demonstrate, it can be uniquely applied to predict antiviral drug resistance.


Kanzo ◽  
2016 ◽  
Vol 57 (6) ◽  
pp. 299-301
Author(s):  
Sanae Hayashi ◽  
Yuki Takamatsu ◽  
Kenji Maeda ◽  
Shuko Murakami ◽  
Katsumi Omagari ◽  
...  

PLoS ONE ◽  
2020 ◽  
Vol 15 (9) ◽  
pp. e0238839
Author(s):  
Cynthia Raissa Tamandjou Tchuem ◽  
Laura Brandt ◽  
Etienne De la Rey Nel ◽  
Mark Fredric Cotton ◽  
Philippa Matthews ◽  
...  

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