Objectives: To analyse the impact of the M184I/V mutation and individual thymidine-associated mutations (TAM) on nucleoside reverse transcriptase inhibitor (NRTI) phenotypic susceptibility and compare these results with those obtained using commercial and public algorithms.
Design: An HIV genotypic/phenotypic database with over 27 000 samples was used to obtain the median fold change (5-95th percentile) in NRTI phenotypic susceptibility for viruses from patients containing individual TAM with or without the M184I or V mutation and for wild-type patient viruses.
Results: The resulting data indicated that in vitro, individual TAM do not have an equivalent impact on NRTI resistance, with some individual TAM having little or no impact on NRTI resistance (e.g. M41L or K219Q/E/H/R). In the presence of the M184I/V mutation, re-sensitization to some drugs, including zidovudine, stavudine and tenofovir was observed despite the presence of a TAM. For didanosine and abacavir, the presence of the M184V mutation and a single TAM did not result in a fold-change increase associated with decreased drug susceptibility. Analysis of public and commercial algorithms revealed a lack of concordance regarding the impact of these mutations, and with the observed phenotypic data.
Conclusion: These analyses should assist in the creation of rules for genotypic drug resistance algorithms for a better reflection of the impact of individual TAM and also the impact of M184I/V on resistance. These data provide additional evidence that retaining lamivudine in those treatment regimens in which TAM can be selected may provide some therapeutic benefit by maintaining the M184V mutation.
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http://dx.doi.org/10.1097/01.aids.0000131355.44834.e4 | DOI Listing |
Sci Rep
January 2025
Department of Management Information Systems, College of Business, Mutah University, Karak, 61710, Jordan.
The present study explored the determinants influencing students' intentions towards utilizing digital learning technologies (DLTs). It proposes a holistic view model for students' utilization of digital learning technologies by integrating social support theory and the "Technology Acceptance Model" (TAM). Data were gathered from 262 students of the University of Ha'il through utilizing a questionnaire.
View Article and Find Full Text PDFSci Rep
January 2025
Cardiovascular Institute, Children's Hospital of Philadelphia, Philadelphia, PA, USA.
Heart failure with preserved ejection fraction (HFpEF) is increasingly common but its pathogenesis is poorly understood. The ability to assess genetic and pharmacologic interventions is hampered by the lack of robust preclinical mouse models of HFpEF. We developed a novel "two-hit" model, which combines obesity and insulin resistance with chronic pressure overload to recapitulate clinical features of HFpEF.
View Article and Find Full Text PDFGlob Public Health
December 2025
Department of Public and Occupational Health, Amsterdam Public Health, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands.
Electronic Personal Health Records (EPHRs) are potentially effective tools for improving the continuity and quality of care for migrants and refugees, and specifically for undocumented migrants (UDMs). However, little is known about the intention and preconditions of healthcare providers (HCPs) to use an EPHR for UDM in the Netherlands. Between April 2023 and June 2023, thirteen interviews, using a semi-structured topic guide, were conducted with Dutch HCPs.
View Article and Find Full Text PDFPLoS One
December 2024
Department of Information Systems, Institut Teknologi Sepuluh Nopember, Kampus ITS Sukolilo, Surabaya, Indonesia.
Aviation College is a higher education institution that shifted to e-Learning as the education platform during the COVID-19 Pandemic. This shift has posed challenges, especially in developing countries like the Philippines. This study aims to evaluate students' intentions toward using an e-learning platform at a collegiate aviation institution during the pandemic by employing an integrated extended Technology Acceptance Model (TAM) and Seddon's Information System (IS) Success Model.
View Article and Find Full Text PDFSkelet Muscle
December 2024
Rehabilitation Sciences Institute, University of Toronto, Toronto, ON, Canada.
Background: INTER- and INTRAmuscular fat (IMF) is elevated in high metabolic states and can promote inflammation. While magnetic resonance imaging (MRI) excels in depicting IMF, the lack of reproducible tools prevents the ability to measure change and track intervention success.
Methods: We detail an open-source fully-automated iterative threshold-seeking algorithm (ITSA) for segmenting IMF from T1-weighted MRI of the calf and thigh within three cohorts (CaMos Hamilton (N = 54), AMBERS (N = 280), OAI (N = 105)) selecting adults 45-85 years of age.
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