Search results for " including Modes of Action and Resistance"

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Genetic Variability of Hepatitis C Virus before and after Combined Therapy of Interferon plus Ribavirin

2008

We present an analysis of the selective forces acting on two hepatitis C virus genome regions previously postulated to be involved in the viral response to combined antiviral therapy. One includes the three hypervariable regions in the envelope E2 glycoprotein, and the other encompasses the PKR binding domain and the V3 domain in the NS5A region. We used a cohort of 22 non-responder patients to combined therapy (interferon alpha-2a plus ribavirin) for which samples were obtained before initiation of therapy and after 6 or/and 12 months of treatment. A range of 25-100 clones per patient, genome region and time sample were sequenced. These were used to detect general patterns of adaptation, t…

Genome evolutionHepatitis C virusEvolutionary Biology/Bioinformaticslcsh:MedicineAlpha interferonGenome ViralHepacivirusBiologyVirology/Immune EvasionInterferon alpha-2Viral Nonstructural Proteinsmedicine.disease_causeGenomeAntiviral AgentsEvolution Molecularchemistry.chemical_compoundGenetics and Genomics/Population GeneticsRibavirinmedicineHumanslcsh:ScienceNS5APhylogenyGenetics:CIENCIAS DE LA VIDA::Genética ::Otras [UNESCO]Virology/Antivirals including Modes of Action and ResistanceMultidisciplinaryEvolutionary Biology/Evolutionary and Comparative GeneticsHepatitis C virusRibavirinlcsh:RGenetic VariationInterferon-alphaVirologyComplementarity Determining RegionsHepatitis CVirology/Virus Evolution and SymbiosisRecombinant ProteinsUNESCO::CIENCIAS DE LA VIDA::Genética ::OtrasHypervariable regionchemistryViral evolutionInterferonlcsh:QGenetic variabilityHepatitis C virus; Genetic variability; Interferon; Ribavirin; Combined therapyCombined therapyResearch ArticlePLoS ONE
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Baseline prediction of combination therapy outcome in hepatitis C virus 1b infected patients by discriminant analysis using viral and host factors.

2010

Background Current treatment of chronic hepatitis C virus (HCV) infection has limited efficacy −especially among genotype 1 infected patients−, is costly, and involves severe side effects. Thus, predicting non-response is of major interest for both patient wellbeing and health care expense. At present, treatment cannot be individualized on the basis of any baseline predictor of response. We aimed to identify pre-treatment clinical and virological parameters associated with treatment failure, as well as to assess whether therapy outcome could be predicted at baseline. Methodology Forty-three HCV subtype 1b (HCV-1b) chronically infected patients treated with pegylated-interferon alpha plus ri…

MaleHepaciviruslcsh:MedicineHepacivirusmedicine.disease_causePolyethylene Glycolschemistry.chemical_compoundlcsh:ScienceMultidisciplinarybiologyDiscriminant AnalysisHepatitis CMiddle AgedViral LoadPrognosisHepatitis CRecombinant ProteinsTreatment OutcomeGastroenterology and Hepatology/Gastrointestinal InfectionsDrug Therapy CombinationFemaleViral hepatitisViral loadResearch ArticleAdultmedicine.medical_specialtyCombination therapyHepatitis C virusAlpha interferonInterferon alpha-2Antiviral AgentsGastroenterology and Hepatology/HepatologyInternal medicineRibavirinInfectious Diseases/Viral InfectionsmedicineHumansRetrospective StudiesVirology/Antivirals including Modes of Action and ResistanceInfectious Diseases/Antimicrobials and Drug Resistancebusiness.industryRibavirinlcsh:RGenetic VariationInterferon-alphaMicrobiology/Medical MicrobiologyVirology/Mechanisms of Resistance and Susceptibility including Host Geneticsmedicine.diseasebiology.organism_classificationLogistic ModelschemistryImmunologylcsh:QbusinessPLoS ONE
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