Journal of Antimicrobial Chemotherapy · 2011 · 20 citations · 23 references
Veterinary MedicineInfectious DiseasesMolecular GeneticsMolecular EpidemiologyMolecular VirologyVirologyAntiretroviral TherapyAntiviral Drug ResistanceAntiviral ResistanceHiv EpidemiologyMolecular Epidemiology Of ResistancePhylogenetic EpidemiologyDrug Resistance MutationsHiv Drug Resistance EpidemiologyHiv Transmission DynamicsNon-nucleoside InhibitorsNon-nucleoside Reverse Transcriptase InhibitorsNucleoside Reverse Transcriptase InhibitorsResistance-associated MutationsTransmitted Drug Resistance
OBJECTIVES: To determine the contribution of transmission clusters to transmitted drug resistance (TDR) in newly diagnosed antiretroviral-naive HIV-1-infected patients in Northern Greece during 2000-07. METHODS: The prevalence of TDR was estimated in 369 individuals who were diagnosed with HIV-1 infection in the period 2000-07 at the National AIDS Reference Laboratory of Northern Greece. Phylogenetic analysis was performed using a maximum likelihood method on partial pol sequences. TDR was defined in accordance with the surveillance drug resistance mutation list (2009 update). RESULTS: The overall prevalence of TDR in our population was 12.5% [46/369, 95% confidence interval (CI) 9.1%-15.8%], comprising 7.6% (28/369) resistant to nucleoside reverse transcriptase inhibitors, 5.4% (20/369) resistant to non-nucleoside reverse transcriptase inhibitors and 3.3% (12/369) resistant to protease inhibitors. Dual class resistance was identified in 3.8% (14/369). Infection with subtype A was the sole predictor associated with TDR in multivariate analysis (odds ratio 2.15, 95% CI 1.10-4.19, P = 0.025). Phylogenetic analyses revealed three statistically robust transmission clusters involving drug-resistant strains, including one cluster of 12 patients, 10 of whom were infected with a strain carrying both T215 revertants and Y181C mutations. CONCLUSIONS: Our findings underline the substantial impact of transmission networks on TDR in our population.
23
MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0
Koichiro Tamura, Joel T. Dudley, M Nei et al. · Molecular Biology and Evolution · 2007 · 28.8K citations · Full text
Annemarie M. J. Wensing, David van de Vijver, Gioacchino Angarano et al. · The Journal of Infectious Diseases · 2005 · 420 citations · Full text