Dataset Information

SAMHD1 has differential impact on the efficacies of HIV nucleoside reverse transcriptase inhibitors.

ABSTRACT: Sterile alpha motif- and histidine/aspartic acid domain-containing protein 1 (SAMHD1) limits HIV-1 replication by hydrolyzing deoxynucleoside triphosphates (dNTPs) necessary for reverse transcription. Nucleoside reverse transcriptase inhibitors (NRTIs) are components of anti-HIV therapies. We report here that SAMHD1 cleaves NRTI triphosphates (TPs) at significantly lower rates than dNTPs and that SAMHD1 depletion from monocytic cells affects the susceptibility of HIV-1 infections to NRTIs in complex ways that depend not only on the relative changes in dNTP and NRTI-TP concentrations but also on the NRTI activation pathways.

SUBMITTER: Huber AD

PROVIDER: S-EPMC4136039 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature

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SAMHD1 has differential impact on the efficacies of HIV nucleoside reverse transcriptase inhibitors.

Huber Andrew D AD Michailidis Eleftherios E Schultz Megan L ML Ong Yee T YT Bloch Nicolin N Puray-Chavez Maritza N MN Leslie Maxwell D MD Ji Juan J Lucas Anthony D AD Kirby Karen A KA Landau Nathaniel R NR Sarafianos Stefan G SG

Antimicrobial agents and chemotherapy 20140527 8

Sterile alpha motif- and histidine/aspartic acid domain-containing protein 1 (SAMHD1) limits HIV-1 replication by hydrolyzing deoxynucleoside triphosphates (dNTPs) necessary for reverse transcription. Nucleoside reverse transcriptase inhibitors (NRTIs) are components of anti-HIV therapies. We report here that SAMHD1 cleaves NRTI triphosphates (TPs) at significantly lower rates than dNTPs and that SAMHD1 depletion from monocytic cells affects the susceptibility of HIV-1 infections to NRTIs in com ...[more]

PMID: 24867973

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Project description:BACKGROUND:Dolutegravir (DTG) is a once-daily unboosted second-generation integrase-inhibitor that along with two nucleoside reverse transcriptase inhibitors is one of several regimens recommended by the United States, United Kingdom and European Union for first-line antiretroviral treatment of people with HIV infection. Our objective was to review the evidence for the efficacy and safety of DTG-based first-line regimens compared to efavirenz (EFV)-based regimens. METHODS:We conducted a systematic review. We comprehensively searched a range of databases as well as conference abstracts and a trials registry. We used Cochrane methods in screening and data collection and assessed each study's risk of bias with the Cochrane tool. We meta-analyzed data using a fixed-effects model. We used GRADE to assess evidence quality. RESULTS:From 492 search results, we identified two randomized controlled trials, reported in five peer-reviewed articles and one conference abstract. One trial tested two DTG-based regimens (DTG + abacavir (ABC) + lamivudine (3TC) or DTG + tenofovir + emtricitabine) against an EFV-based regimen (EFV+ ABC+3TC). The other trial tested DTG+ABC+3TC against EFV+ABC+3TC. In meta-analysis, DTG-containing regimens were superior to EFV-containing regimens at 48 weeks and at 96 weeks (RR = 1.10, 95% CI 1.04-1.16; and RR = 1.12, 95% CI 1.04-1.21, respectively). In one trial, the DTG-containing regimen was superior at 144 weeks (RR = 1.13, 95% CI 1.02-1.24). DTG-containing regimens were superior in reducing treatment discontinuation compared to those containing EFV at 96 weeks and at 144 weeks (RR = 0.27, 95% CI 0.15-0.50; and RR = 0.28, 95% CI 0.16-0.48, respectively). Risk of serious adverse events was similar in each regimen at 96 weeks (RR = 1.15, 95% CI 0.80-1.63) and 144 weeks (RR = 0.93, 95% CI 0.68-1.29). Risk of bias was moderate overall, as was GRADE evidence quality. CONCLUSIONS:DTG-based regimens should be considered in future World Health Organization guidelines for initial HIV treatment.

Dataset Information

SAMHD1 has differential impact on the efficacies of HIV nucleoside reverse transcriptase inhibitors.

Publications

SAMHD1 has differential impact on the efficacies of HIV nucleoside reverse transcriptase inhibitors.

Similar Datasets

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