Prevalence of HIV-1 drug resistance in antiretroviral-naive patients: a prospective study.
Explore the source record for details and available documents.
Adult↗
Biomedical subjects
T Alcorn
Publications and source records attributed to T Alcorn.
A novel human immunodeficiency virus type 1 reverse transcriptase mutational pattern confers phenotypic lamivudine resistance in the absence of mutation 184V.
We describe a new human immunodeficiency virus type 1 (HIV-1) mutational pattern associated with phenotypic resistance to lamivudine (3TC) in the absence of the characteristic replacement of methionine by valine at position 184 (M184V) of reverse transcriptase. Combined genotypic and phenotypic analyses of clinical isolates revealed the presence of moderate levels of phenotypic resistance (between 4- and 50-fold) to 3TC in a subset of isolates that did not harbor the M184V mutation. Mutational cluster analysis and comparison with the phenotypic data revealed a significant correlation between moderate phenotypic 3TC resistance and an increased incidence of replacement of glutamic acid by aspartic acid or alanine and of valine by isoleucine at residues 44 and 118 of reverse transcriptase, respectively. This occurred predominantly in those isolates harboring zidovudine resistance-associated mutations (41L, 215Y). The requirement of the combination of mutations 41L and 215Y with mutations 44D and 44A and/or 118I for phenotypic 3TC resistance was confirmed by site-directed mutagenesis experiments. These data support the assumption that HIV-1 may have access to several different genetic pathways to escape drug pressure or that the increase in the frequency of particular mutations may affect susceptibility to drugs that have never been part of a particular regimen.
Anti-HIV Agents↗
An epidemiological evaluation of the use of microbiological tools for identifying gonorrhoea infection networks.
We aimed to assess the utility of various techniques for identifying gonorrhoea infection networks. All residents of a non-metropolitan North Carolina county visiting a sexually transmitted disease (STD) clinic during a 17-month period were screened for gonorrhoea. Infection networks were estimated by serovar type combined with antibiotic resistance, arbitrarily primed polymerase chain reaction (AP-PCR), or temporal clustering. The residential addresses of infected patients were geocoded and mapped. Among 2 serovar types, the presence of distinguishing characteristics of a network, based on questionnaire data, was assessed with prevalence ratios and 95% confidence intervals (CIs) relative to those not in the network. Twenty-five serovar types were identified among 759 gonorrhoea infections. In one serovar, the networks further delineated by temporal clusters correlated with particular AP-PCR types. In most instances, however, different typing techniques painted different network pictures. No refined serovar network stood out as having a particular set of characteristics that could be used to shape intervention. Teasing out an individual infection network with unique characteristics will require the development and use of other microbiological tools.
Adult↗