Dataset Information

Molecular Characterization of Hepatitis C Virus for Developed Antiviral Agents Resistance Mutations and New Insights into in-silico Prediction Studies.

ABSTRACT: Background: Identification and characterization of developed antiviral drug resistance mutations are key to the success of antiviral therapies against hepatitis C virus (HCV), which remains a worldwide highly prevalent pathogenic disease. Although most studies focus on HCV genotypes 1, 2 or 3, the investigation of drug resistance in HCV genotype 4, predominant in North Africa, is especially significant in Egypt.

Methods: We performed mutational and genotypic analysis of the untranslated region (UTR) and nonstructural protein 5B (NS5B) drug resistance-associated regions of HCV for patients in the surrounding villages of Mansoura city, who were not responding to different antiviral treatments (sofosbuvir (SOF), ribavirin, and interferon). Furthermore, molecular modelling approaches (homology modelling and docking studies) were used to investigate the significance of the identified NS5B mutations for SOF and ribavirin binding in the HCV genotype 4a NS5B active site.

Results: Genotypic analysis confirmed all samples to have genotype 4 with sub-genotype 4a predominant. Partial sequencing of the UTR and NS5B resistance-associated regions identified D258E, T282S and A307G mutations in all isolates of NS5B. The UTR mutation site at position 243 was associated with interferon resistance, whereas the NS5B T282S mutation was considered as significant for SOF and ribavirin resistance. Docking studies in the HCV genotype 4a homology model predict SOF and ribavirin to accommodate a nucleotide-like binding mode, in which the T282 residue does interfere with the binding as it would in HCV genotypes 1 and 2. Mutation energy calculations predict T282S to moderately destabilize the binding of SOF and ribavirin by 0.57 and 0.47 kcal/mol, respectively.

Conclusion: The performed study identified and characterized several antiviral drug resistance mutations of HCV genotype 4a and proposed a mechanism by which the T282S mutation may contribute to SOF and ribavirin resistance.

SUBMITTER: El-Sokkary MMA

PROVIDER: S-EPMC7696641 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Molecular Characterization of Hepatitis C Virus for Developed Antiviral Agents Resistance Mutations and New Insights into in-silico Prediction Studies.

El-Sokkary Mohamed M Adel MMA Gotina Lizaveta L Al-Sanea Mohammad M MM Pae Ae Nim AN Elbargisy Rehab Mohammed RM

Infection and drug resistance 20201123

<h4>Background</h4>Identification and characterization of developed antiviral drug resistance mutations are key to the success of antiviral therapies against hepatitis C virus (HCV), which remains a worldwide highly prevalent pathogenic disease. Although most studies focus on HCV genotypes 1, 2 or 3, the investigation of drug resistance in HCV genotype 4, predominant in North Africa, is especially significant in Egypt.<h4>Methods</h4>We performed mutational and genotypic analysis of the untransl ...[more]

PMID: 33262618

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Project description:ImportanceRecent reports based on the US Food and Drug Administration's voluntary Adverse Events Reporting System raised questions about the safety of direct-acting antivirals (DAAs) for treatment of the hepatitis C virus (HCV).ObjectiveTo assess the rates of adverse events in patients with HCV infection exposed to DAAs compared with those not exposed.Design, setting, and participantsA retrospective cohort study calculated unadjusted adverse event rates for exposed vs unexposed time, using claims and clinical data from 3 health systems between January 1, 2012, and December 31, 2017. Of 82 419 eligible adults, a total of 33 808 who met eligibility criteria (age, 18-88 years; HCV quantitative result or genotype from 2012 or later; continuously enrolled; naive to DAA treatment at baseline) were included. Marginal structural modeling methods were used to adjust time-to-event analyses for characteristics that are associated with both outcomes and probability of treatment.Interventions or exposuresExposure to DAAs compared with no DAA exposure.Main outcomes and measuresDeath, multiple organ failure, liver cancer, hepatic decompensation, acute-on-chronic liver event, acute myocardial infarction, ischemic or hemorrhagic stroke, arrhythmia, acute kidney failure, nonliver cancer, hepatitis B reactivation, hospitalizations, and emergency department visits.ResultsOf the 33 808 patients who met all inclusion criteria, 20 899 (61.8%) were men; mean (SD) age was 57.2 (10.6) years. In unadjusted analyses, DAA exposure was associated with significantly lower rates of death (10.7 vs 33.7 events per 1000 person-years; rate ratio [RR], 0.32, 95% CI, 0.25-0.40). Seven other unadjusted adverse clinical events ratios were below 70% and statistically significant favoring the DAA group: multiple organ failure (RR, 0.56; 95% CI, 0.44-0.72), liver cancer (RR, 0.62; 95% CI, 0.48-0.80), hepatic decompensation (RR, 0.62; 95% CI, 0.52-0.73), acute-on-chronic liver event (RR, 0.68; 95% CI, 0.56-0.84), acute myocardial infarction (RR, 0.64; 95% CI, 0.42-0.97), ischemic stroke (RR, 0.63; 95% CI, 0.42-0.95), and hemorrhagic stroke (RR, 0.47; 95% CI, 0.25-0.89); none favored the non-DAA group. In the marginal structural modeling-adjusted analysis, DAA exposure was associated with statistically significant lower odds of adverse events than non-DAA exposure for death (adjusted odds ratio [aOR], 0.42; 95% CI, 0.30-0.59), multiple organ failure (aOR, 0.67; 95% CI, 0.49-0.90), hepatic decompensation (aOR, 0.61; 95% CI, 0.49-0.76), acute-on-chronic liver event (aOR, 0.71; 95% CI, 0.56-0.91), and arrhythmia (aOR, 0.47; 95% CI, 0.25-0.88).Conclusions and relevanceDirect-acting antiviral exposure may not be associated with higher rates of any serious adverse events, including those related to liver, kidney, and cardiovascular systems. Safety concerns based on previous reports did not appear to be supported in this study with more comprehensive data and rigorous statistical methods.

Dataset Information

Molecular Characterization of Hepatitis C Virus for Developed Antiviral Agents Resistance Mutations and New Insights into in-silico Prediction Studies.

Publications

Molecular Characterization of Hepatitis C Virus for Developed Antiviral Agents Resistance Mutations and New Insights into in-silico Prediction Studies.

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