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Background: The histone deacetylase inhibitor vorinostat (VOR) can reverse human immunodeficiency virus type 1 (HIV-1) latency in vivo and allow T cells to clear infected cells in vitro. HIV-specific T cells (HXTCs) can be expanded ex vivo and have been safely administered to people with HIV (PWH) on antiretroviral therapy., Methods: Six PWH received infusions of 2 × 107 HXTCs/m² with VOR 400 mg, and 3 PWH received infusions of 10 × 107 HXTCs/m² with VOR. The frequency of persistent HIV by multiple assays including quantitative viral outgrowth assay (QVOA) of resting CD4+ T cells was measured before and after study therapy., Results: VOR and HXTCs were safe, and biomarkers of serial VOR effect were detected, but enhanced antiviral activity in circulating cells was not evident. After 2 × 107 HXTCs/m² with VOR, 1 of 6 PWH exhibited a decrease in QVOA, and all 3 PWH exhibited such declines after 10 × 107 HXTCs/m² and VOR. However, most declines did not exceed the 6-fold threshold needed to definitively attribute decline to the study intervention., Conclusions: These modest effects provide support for the strategy of HIV latency reversal and reservoir clearance, but more effective interventions are needed to yield the profound depletion of persistent HIV likely to yield clinical benefit. Clinical Trials Registration. NCT03212989., Competing Interests: Potential conflicts of interest. C. M. B. is a scientific co-founder and scientific advisory board member for Catamaran Bio and Mana Therapeutics; serves on the board of directors of Cabaletta Bio; has stock in Neximmune and Repertoire Immune Medicine; serves on the data and safety monitoring board for SOBI; and has served on advisory boards for BMS, Roche, and Pfizer. D. M. M. has provided consultancy to ViiV Healthcare outside of this work and owns common stock in Gilead Sciences. P. J. H. is a co-founder and serves on the board of directors of Mana Therapeutics and is an advisor to Cellenkos, Cellevolve, Discovery Life Sciences, Capsida, and MicroFluidX. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2024. Published by Oxford University Press on behalf of Infectious Diseases Society of America. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.)

People living with human immunodeficiency virus (PLWH), with the availability of modern antiretroviral drugs, have multiple comorbidities, which increase the risk of polypharmacy and potential drug-drug interactions (PDDIs). This is a particularly important issue for the aging population of PLWH. This study aims to review the prevalence and risk factors for PDDIs and polypharmacy in the era of HIV integrase inhibitors. A cross-sectional, two-center, prospective observational study was conducted on Turkish outpatients between October 2021 and April 2022. Polypharmacy was defined as the use of ≥5 non-HIV medications, excluding over-the-counter (OTC) drugs, and PDDIs were classified using the University of Liverpool HIV Drug Interaction Database (harmful/red flagged and potentially clinically relevant/amber flagged). The median age of the 502 PLWH included in the study was 42 ± 12.4 years and 86.1% were males. Most individuals (96.4%) were given integrase-based regimens (unboosted 68.7% and boosted 27.7%). In total, 30.7% of individuals were taking at least one OTC drug. The prevalence of polypharmacy was 6.8% (9.2% when OTC drugs were included). During the study period, the prevalence of PDDIs was 1.2% for red flag PDDIs and 16% for amber flag PDDIs. CD4 + T cell count >500 cells/mm 3 , number of comorbidities ≥3, comedication with drugs affecting blood and blood-forming organs, cardiovascular drugs, and vitamin/mineral supplements were associated with red flag or amber flag PDDIs. Drug interaction prevention is still important in HIV care. Individuals with multiple comorbidities should be closely monitored for non-HIV medications to prevent PDDIs.

Background: The World Health Organization (WHO) recommends the surveillance of transmitted drug resistance mutations (TDRMs) to ensure the effectiveness and sustainability of HIV treatment programs., Objective: Our aim was to determine the TDRMs and evaluate the distribution of HIV-1 subtypes using and compared next-generation sequencing (NGS) and Sanger-based sequencing (SBS) in a cohort of 44 antiretroviral treatment-naïve patients., Methods: All samples that were referred to the microbiology laboratory for HIV drug resistance analysis between December 2016 and February 2018 were included in the study. After exclusions, 44 treatment-naive adult patients with a viral load of >1000 copies/mL were analyzed. DNA sequencing for reverse transcriptase and protease regions was performed using both DeepChek ABL single round kit and Sanger-based ViroSeq HIV-1 Genotyping System. The mutations and HIV-1 subtypes were analyzed using the Stanford HIVdb version 8.6.1 Genotypic Resistance software, and TDRMs were assessed using the WHO surveillance drug-resistance mutation database. HIV-1 subtypes were confirmed by constructing a maximum-likelihood phylogenetic tree using Los Alamos IQ-Tree software., Results: NGS identified nucleos(t)ide reverse transcriptase inhibitor (NRTI)-TDRMs in 9.1 % of the patients, non-nucleos(t)ide reverse transcriptase inhibitor (NNRTI)-TDRMs in 6.8 % of the patients, and protease inhibitor (PI)-TDRMs in 18.2 % of the patients at a detection threshold of ≥ 1 %. Using SBS, 2.3 % and 6.8 % of the patients were found to have NRTI- and NNRTI-TDRMs, respectively, but no major PI mutations were detected. M41L, L74I, K65R, M184V, and M184I related to NRTI, K103N to NNRTI, and N83D, M46I, I84V, V82A, L24I, L90M, I54V to the PI sites were identified using NGS. Most mutations were found in low-abundance (frequency range: 1.0 % - 4.7 %) HIV-1 variants, except M41L and K103N. The subtypes of the isolates were found as follows; 61.4 % subtype B, 18.2 % subtype B/CRF02_AG recombinant, 13.6 % subtype A, 4.5 % CRF43_ 02G, and 2.3 % CRF02_AG. All TDRMs, except K65R, were detected in HIV-1 subtype B isolates., Conclusion: The high diversity of protease site TDRMs in the minority HIV-1 variants and prevalence of CRFs were remarkable in this study. All minority HIV-1 variants were missed by conventional sequencing. TDRM prevalence among minority variants appears to be decreasing over time at our center., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.net.)

Background: Antiretroviral treatment (ART) reduces morbidity and mortality caused by human immunodeficiency virus (HIV) infection; however, the emergence of drug-resistant strains poses an important obstacle to treatment success. Using conventional sequencing methods to determine antiretroviral resistance, mutations present in ≥20% of quasispecies can be identified, but drug-resistant minority variants can lead to virologic failure., Objective: We aimed to assess transmitted drug resistance mutations (TDRMs) within minority variants using ultra-deep pyrosequencing (UDPS)., Method: Treatment-naive adult patients were included in this observational study. Surveillance TDRMs were classified as ≥20% or at minority variant level (≥2% - <20%). Genotypic sensitivity score calculated by using all pre-treatment drug resistance mutations (PDRMs) was also evaluated., Results: Thirty-six patients were analyzed. Any TDRM at ≥20% level was detected in 8.3% of the patients (n=3). This prevalence increased to 30.6% (n=11) with the inclusion of minority variants. All non-nucleoside reverse transcriptase inhibitor and protease inhibitor-related TDRMs were within minority variants. The genotypic sensitivity score of rilpivirine-based regimens was considerably diminished when minority variants were included in the PDRM analysis., Conclusion: UDPS was used for the first time to assess TDRM in a Turkish HIV cohort and uncovered several mutations hidden within minority variants. UDPS may be preferred to detect PDRMs for avoiding virologic failure with rilpivirine-based ART regimens., (Copyright© Bentham Science Publishers; For any queries, please email at epub@benthamscience.org.)