7 research outputs found
Genetic Heterogeneity of Hepatitis C Virus in Association with Antiviral Therapy Determined by Ultra-Deep Sequencing
The hepatitis C virus (HCV) invariably shows wide heterogeneity in infected patients, referred to as a quasispecies population. Massive amounts of genetic information due to the abundance of HCV variants could be an obstacle to evaluate the viral genetic heterogeneity in detail.Using a newly developed massive-parallel ultra-deep sequencing technique, we investigated the viral genetic heterogeneity in 27 chronic hepatitis C patients receiving peg-interferon (IFN) α2b plus ribavirin therapy.Ultra-deep sequencing determined a total of more than 10 million nucleotides of the HCV genome, corresponding to a mean of more than 1000 clones in each specimen, and unveiled extremely high genetic heterogeneity in the genotype 1b HCV population. There was no significant difference in the level of viral complexity between immediate virologic responders and non-responders at baseline (pâ=â0.39). Immediate virologic responders (nâ=â8) showed a significant reduction in the genetic complexity spanning all the viral genetic regions at the early phase of IFN administration (pâ=â0.037). In contrast, non-virologic responders (nâ=â8) showed no significant changes in the level of viral quasispecies (pâ=â0.12), indicating that very few viral clones are sensitive to IFN treatment. We also demonstrated that clones resistant to direct-acting antivirals for HCV, such as viral protease and polymerase inhibitors, preexist with various abundances in all 27 treatment-naĂŻve patients, suggesting the risk of the development of drug resistance against these agents.Use of the ultra-deep sequencing technology revealed massive genetic heterogeneity of HCV, which has important implications regarding the treatment response and outcome of antiviral therapy
Hepatitis C virus infection among Brazilian hemophiliacs: a virological, clinical and epidemiological study
How hepatitis C virus modifies the immunological profile of Sjögren syndrome: analysis of 783 patients
Comprehensive Screening for Naturally Occurring Hepatitis C Virus Resistance to Direct-Acting Antivirals in the NS3, NS5A, and NS5B Genes in Worldwide Isolates of Viral Genotypes 1 to 6
Low influenza vaccine effectiveness and the effect of previous vaccination in preventing admission with A(H1N1)pdm09 or B/Victoria-Lineage in patients 60 years old or older during the 2015/2016 influenza season.
Background: The 2015/2016 influenza season was characterized in Europe by the circulation of A(H1N1)pdm09 clade 6B.1 and B/Victoria-lineage influenza viruses. The components of the vaccines used in the current and past two seasons in the Valencia region were similar but not well matched to the 2015/2016 dominant influenza-circulating strains. We estimate influenza vaccine effectiveness (IVE) and interference of previous vaccination in preventing admission with A(H1N1)pdm09 or B/Victoria-lineage in this particular season. Methods: The Valencia Hospital Network for the Study of Influenza runs an active surveillance hospital-based study to collect clinical and virological data from consecutive admissions possibly related to influenza. Combined nasopharyngeal and pharyngeal swabs are analyzed by reverse transcription polymerase chain reaction, and the hemagglutinin is sequenced in a sample of positive influenza specimens. Vaccination is ascertained consulting a population vaccine information system. We estimate IVE using a test-negative approach. Results: During the 2015-2016 season, we recruited 1049 eligible admissions of patients 60 years or older, and 187 tested positive for influenza. The adjusted IVE in preventing admission with A(H1N1)pdm09 was 20.2%; 95% confidence interval (CI) -21.3-47.5% and -33.2%; 95% CI, -140.1-26.1% in preventing admission with B/Victoria-lineage. The majority of A(H1N1)pdm09 sequenced viruses belonged to the emerging 6B.1 subclade, defined by S162N and I216T mutations in the hemagglutinin protein. When we restricted our analysis to those not vaccinated in the previous year, unadjusted IVE was 84.9% (95% CI 9.9-100.0) overall, 77.9% (-32.7-100.0%) in preventing A(H1N1)pdm09 and 48.8% (-219.5-100.0%) in preventing B/Yamagata-lineage admission. Conclusions: Our findings indicate that IVE was low in preventing A(H1N1)pdm09 and strongly correlated with vaccination in the previous season. No effect in preventing admission with B/Victoria-lineage was observed. For the 2015/2016 season, IVE was low due to a mismatch and lack of concordance between the circulating and vaccine viruses
Computational models of liver fibrosis progression for hepatitis C virus chronic infection
Genetic diversity of NS3 protease from Brazilian HCV isolates and possible implications for therapy with direct-acting antiviral drugs
The hepatitis C virus (HCV) NS3 protease has been one of the molecular targets of new therapeutic approaches. Its genomic sequence variability in Brazilian HCV isolates is poorly documented. To obtain more information on the magnitude of its genetic diversity, 114 Brazilian HCV samples were sequenced and analysed together with global reference sequences. Genetic distance (d) analyses revealed that subtype 1b had a higher degree of heterogeneity (d = 0.098) than subtypes 1a (d = 0.060) and 3a (d = 0.062). Brazilian isolates of subtype 1b were distributed in the phylogenetic tree among sequences from other countries, whereas most subtype 1a and 3a sequences clustered into a single branch. Additional characterisation of subtype 1a in clades 1 and 2 revealed that all but two Brazilian subtype 1a sequences formed a distinct and strongly supported (approximate likelihood-ratio test = 93) group of sequences inside clade 1. Moreover, this subcluster inside clade 1 presented an unusual phenotypic characteristic in relation to the presence of resistance mutations for macrocyclic inhibitors. In particular, the mutation Q80K was found in the majority of clade 1 sequences, but not in the Brazilian isolates. These data demonstrate that Brazilian HCV subtypes display a distinct pattern of genetic diversity and reinforce the importance of sequence information in future therapeutic approaches