0000000001168132

AUTHOR

Mc Re

showing 5 related works from this author

Genotypic resistance profiles associated with virological failure to darunavir-containing regimens: a cross-sectional analysis.

2012

Introduction: This study aimed at defining protease (PR) resistance mutations associated with darunavir (DRV) failure and PR resistance evolution at DRV failure in a large database of treatment-experienced human immunodeficiency virus (HIV) patients. Results: Overall, 1,104 patients were included: 118 (10.7%) failed at a median observation time of 16 months. The mean number of PR mutations at baseline was 2.7, but it was higher in patients who subsequently failed DRV. In addition, the number of PR mutations increased at failure. The increase in the mean number of mutations was completely related to mutations considered to be associated with DRV resistance following the indications of the ma…

MaleTime FactorsCross-sectional studyHuman immunodeficiency virus (HIV)Drug ResistanceHIV InfectionsDrug resistancemedicine.disease_causeCohort StudiesAntiretroviral Therapy Highly ActiveRitonavir-boosted darunavirGenotypeHIV InfectionTreatment FailureViralGenotypic resistanceDarunavirSulfonamidesGeneral MedicineMiddle AgedVirological failureInfectious DiseasesFemaleHumanmedicine.drugAdultMicrobiology (medical)Logistic ModelTime FactorGenotypeAntiretroviral TherapySettore MED/17 - MALATTIE INFETTIVESulfonamideDrug Resistance ViralmedicineHumansHighly ActiveDarunavir; Genotypic resistance; Protease inhibitors; Ritonavir-boosted darunavir; Adult; Antiretroviral Therapy Highly Active; Cohort Studies; Cross-Sectional Studies; Female; Genotype; HIV Infections; HIV Protease Inhibitors; HIV-1; Humans; Logistic Models; Male; Middle Aged; Mutation; Sulfonamides; Time Factors; Treatment Failure; Drug Resistance Viral; Microbiology (medical); Infectious DiseasesHIV Protease InhibitorDarunavirCross-Sectional Studiebusiness.industryHIV Protease InhibitorsProtease inhibitorsAntiretroviral therapyVirologyCross-Sectional StudiesLogistic ModelsProtease inhibitorMutationGenotypic resistanceHIV-1Cohort Studiebusiness
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Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit fro…

2009

Objectives: To test retrospectively the ability of four freely available rules-based expert systems to predict short- and medium-term virological outcome following an antiretroviral treatment switch in pre-treated HIV-1 patients. Methods: The HIV-1 genotype interpretation systems (GISs) HIVdb, ANRS, Rega and AntiRetroScan were tested for their accuracy in predicting response to highly active antiretroviral therapy using 8 week (n = 765) and 24 week (n = 634) follow-up standardized treatment change episodes extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) database. A genotypic sensitivity score (GSS) was derived for each genotype-treatment pair for the different GI…

Maleinterpretation systemHIV InfectionsDrug resistanceLogistic regressionRetrospective StudieHIV InfectionPharmacology (medical)Microbial Sensitivity TestMiddle AgedPrognosisgenotype drug resistance algorithmAlgorithmTreatment OutcomeInfectious DiseasesItalyRNA ViralFemaleCohort studyHumanMicrobiology (medical)Adultmedicine.medical_specialtyGenotypeLogistic ModelAnti-HIV AgentsPrognosiantiretroviralMicrobial Sensitivity TestsInternal medicinemedicinePotencyAnimalsHumansRetrospective StudiesPharmacologyReceiver operating characteristicbusiness.industryAnimalAnti-HIV AgentRetrospective cohort studyOdds ratiogenotype; interpretation system; antiretroviral; drug potency weightingWeightingLogistic ModelsROC CurveDrug resistanceImmunologyHIV-1businessdrug potency weighting
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A novel methodology for large-scale phylogeny partition

2011

Understanding the determinants of virus transmission is a fundamental step for effective design of screening and intervention strategies to control viral epidemics. Phylogenetic analysis can be a valid approach for the identification of transmission chains, and very-large data sets can be analysed through parallel computation. Here we propose and validate a new methodology for the partition of large-scale phylogenies and the inference of transmission clusters. This approach, on the basis of a depth-first search algorithm, conjugates the evaluation of node reliability, tree topology and patristic distance analysis. The method has been applied to identify transmission clusters of a phylogeny …

Genetics and Molecular Biology (all)MalepolTheoretical computer scienceInferenceGene Products polGeneral Physics and AstronomyHIV InfectionsBiologyNetwork topologySettore MED/17 - MALATTIE INFETTIVEBiochemistryArticleGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencesPhysics and Astronomy (all)0302 clinical medicineSearch algorithmphylogenetic analysis; virus transmissionGene ProductsHumansHIV Infection030212 general & internal medicinePhylogeny030304 developmental biologyAlgorithms; Classification; Female; Gene Products pol; HIV Infections; HIV-1; Humans; Male; Phylogeny; Biochemistry Genetics and Molecular Biology (all); Chemistry (all); Physics and Astronomy (all)Genetics0303 health sciencesBiochemistry Genetics and Molecular Biology (all)MultidisciplinaryPhylogenetic treeNode (networking)phylogenetic analysisChemistry (all)HIVGeneral Chemistryvirus transmissionClassificationPartition (database)AlgorithmIdentification (information)Transmission (telecommunications)HIV-1FemaleMETHODOLOGYAlgorithmsHumanNature Communications
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Low Rate of Virological Failure and Maintenance of Susceptibility to HIV-1 Protease Inhibitors with First-Line Lopinavir/Ritonavir-Based Antiretrovir…

2010

Protease inhibitor (PI)-resistant HIV-1 has hardly ever been detected at failed boosted PI-based first-line antiretroviral regimens in clinical trials. However, this phenomenon has not been investigated in clinical practice. To address this gap, data from patients starting a first-line lopinavir/ritonavir (LPV/rtv)-based therapy with available baseline HIV-1 RNA load, a viral genotype and follow-up viral load after 3 and 6 months of treatment were extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) observational database. Based on survival analysis, 39 (7.1%) and 43 (7.8%) of the 548 examined patient cases had an HIV-1 RNA >500 and >50 copies/ml, respectively, after …

MaleLopinavir/ritonavirHIV Infectionsboosted protease inhibitorLopinavirCohort Studies0302 clinical medicineAntiretroviral Therapy Highly Activevirologic failureHIV InfectionTreatment Failure030212 general & internal medicinePyrimidinone0303 health scienceseducation.field_of_studylopinavir/ritonavirLopinavirViral LoadResistance mutationfirst-line antiretroviral therapyReverse Transcriptase Inhibitor3. Good healthTreatment OutcomeInfectious DiseasesRNA ViralReverse Transcriptase InhibitorsMedicineDrug Therapy CombinationFemaleSurvival AnalysiViral loadHumanmedicine.drugAnti-HIV AgentsPopulationPyrimidinones.Settore MED/17 - MALATTIE INFETTIVEEmtricitabinehuman immunodeficiency virus type 103 medical and health sciencesVirologyDrug Resistance Viralantiretroviral drug resistancemedicineHumansProtease inhibitor (pharmacology)educationHIV Protease InhibitorRitonavir030306 microbiologybusiness.industryAnti-HIV AgentHIV Protease InhibitorsSurvival AnalysisVirologyHIV-1RitonavirCohort Studiebusiness
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No pol mutation is associated independently with the lack of immune recovery in patients infected with HIV and failing antiretroviral therapy

2011

An investigation was undertaken to determine whether specific pol mutations hinder long-term immune recovery regardless of virological response. In total, 826 patients with >50 HIV RNA copies/ml, who underwent genotypic resistance testing between 1 January 2000 and 31 December 2003 after >3 years of antiretroviral treatment, and were followed up for >3 years after genotypic resistance testing, were analyzed retrospectively. The outcome of the study was the lack of immune recovery after >3 years of follow-up, defined as a slope by linear regression 50 copies/ml divided by the number of HIV RNA measurements during follow-up. Logistic regression was used for univariable and multivariable analy…

MaleHIV InfectionsDrug resistanceLogistic regressionResistance to nucleoside reverse transcriptase inhibitorCD4+ T-lymphocyteRetrospective StudieImmunopathologyAntiretroviral Therapy Highly ActiveResistance to non-nucleoside reverse transcriptase inhibitorgeneticsResistance to protease inhibitorHIV Infectionresistance to nucleoside reverse transcriptase inhibitorsViralSidaresistance to protease inhibitorsbiologyReverse-transcriptase inhibitorViral LoadGenes poldrug therapy/immunology/virologyReverse Transcriptase InhibitorInfectious DiseasesTreatment Outcomeresistance to non-nucleoside reverse transcriptase inhibitorsReverse Transcriptase InhibitorsFemaleViral loadmedicine.drugHumanpolAnti-HIV AgentsAntiretroviral TherapyViremiaInfectious DiseaseSettore MED/17 - MALATTIE INFETTIVEpharmacology/therapeutic useAcquired immunodeficiency syndrome (AIDS)VirologyDrug Resistance ViralmedicineHumansHighly ActiveRetrospective StudiesAnti-HIV Agents; pharmacology/therapeutic use Antiretroviral Therapy; Highly Active CD4 Lymphocyte Count Drug Resistance; Viral; genetics Female Genes; pol HIV Infections; drug therapy/immunology/virology HIV-1; drug effects/enzymology/genetics Humans Male Mutation Retrospective Studies Reverse Transcriptase Inhibitors; therapeutic use Treatment Outcome Viral Loaddrug resistanceAnti-HIV Agentbiology.organism_classificationmedicine.diseaseVirologyCD4 Lymphocyte CountGenesdrug effects/enzymology/geneticstherapeutic useMutationCD4+ T-lymphocytesHIV-1
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