UNASSIGNED: Resistance to antiretrovirals against human immunodeficiency virus (HIV) poses a threat to zero transmission of HIV by 2030. Few studies have been conducted on HIV drug resistance (HIVDR) mutations targeting adolescents. We determined the prevalence, pattern of HIVDR mutations, and factors associated with unsuppressed HIV viral load among adolescents on antiretroviral therapy (ART).
UNASSIGNED: From March to June 2020, we conducted a cross-sectional study at the Infectious Disease Clinic in Dar es Salaam, Tanzania. HIV-1 viral load was tested using m2000rt Real-Time HIV-1 assay. A sample with a viral load equal or more than 1,000 copies/ml was tested for HIVDR mutations. We determined the factors associated with unsuppressed viral load using logistic regression. A p-value less than 0.05 was considered significant.
UNASSIGNED: We enrolled 131 participants with a median age (interquartile range) of 15 (13-18) years. Of all, 24(18.3%) had a viral load above 1000 copies/ml. HIVDR mutations were found in 19/24(68.4%). Mutation to protease inhibitors, nucleotide reverse transcriptase inhibitors, and non-nucleoside reverse transcriptase inhibitors were 1(5.2%), 9(47.4%), and 11(57.9%), respectively. Non-antiretroviral therapy and orphanages were independently associated with unsuppressed viral load.
UNASSIGNED: The prevalence of HIVDR and unsuppressed HIV viral load among adolescents are relatively high. The use of non-antiretroviral therapy and orphanage influenced the persistence of high viral load. Strategies for surveillance of HIVDR early warning signs should be devised among adolescents.

BACKGROUND: Prospective data on the effectiveness of resistance testing in informing treatment decisions and outcomes in with first-line failure in these settings is limited. This study aimed to assess the virological impact of HIV drug-resistance testing in patients with virological failure in Tanzania.
METHODS: Participants were randomly assigned to either the control or the experimental group. In addition to the standard of care, patients in the experimental group had access to genotypic drug-resistance testing, information used during treatment change, and were followed up at six-and 12-months to determine virological suppression.
RESULTS: A total of 261 patients with a median age of 32 (14.7-44.7) years were enrolled. In the intention-to-treat analysis, at 6-months, suppression was achieved in 58 (42.3%; 95% CI, 34.1-50.1) experimental group patients versus 51 (41.1%; 95% CI, 32.5-49.8) control group patients, with a p-value of 0.4. At-12 months, suppression was achieved in 110 (80.3%; 95% CI, 73.6-87) experimental patients versus 99 (79.8%; 95% CI, 72.8-86.9) control patients, with a p-value of 0.5. In the per-protocol analysis, at 6-months, suppression was observed in 38.46% (95% CI, 27.6-49.3) experimental patients versus 38.6% (95% CI, 26.0-51.2) control patients, with a p-value of 0.5. At 12-months, suppression was observed in 79.49% (95% CI, 70.5-88.5) of experimental patients versus 75.44% (95% CI, 64.3-86.6) of control patients, with a p-value of 0.3.
CONCLUSIONS: Conducting HIV drug-resistance testing, and switch to individualised second-line regimens did not significantly improve virological suppression in patients experiencing first-line ART failure in Tanzania.

BACKGROUND: In vitro passage experiments are crucial to the development of antiretroviral (ARV) drugs.
METHODS: We created an online database containing data from 102 published studies in which HIV-1 or HIV-2 was cultured with increasing concentrations of the FDA-approved nucleoside RT inhibitors (NRTIs), nonnucleoside RT inhibitors (NNRTIs), integrase strand transfer inhibitors (INSTIs), protease inhibitors (PIs), capsid inhibitor (CAI) lenacapavir, and nucleoside RT translocation inhibitor (NRTTI) islatravir. We summarized the mutations selected in the subset of passage experiments with NRTIs lamivudine (3TC), emtricitabine (FTC), abacavir (ABC), tenofovir (TFV), and zidovudine (AZT), NNRTIs doravirine (DOR), efavirenz (EFV), and rilpivirine (RPV), INSTIs bictegravir (BIC), cabotegravir (CAB), and dolutegravir (DTG), and PIs atazanavir (ATV), darunavir (DRV), and lopinavir (LPV). Mutations selected in vitro were compared with those selected in persons receiving the same ARV.
RESULTS: Twenty-seven studies described 89 experiments of wildtype isolates passaged with 3TC, FTC, ABC, TFV, or AZT; sixteen studies described 89 experiments passaged with EFV, RPV, or DOR; eleven studies described 76 experiments passaged with the INSTIs BIC, CAB, or DTG; six studies described 33 experiments passaged with ATV, LPV, or DRV. With several exceptions, mutations selected in two or more experiments were among the most common mutations selected in persons receiving the same ARV.
CONCLUSIONS: We created a database of published ARV in vitro selection experiments. Mutations emerging from these experiments generally predict those observed in persons receiving the same ARV. However, there are notable differences in mutation frequencies between in vitro and in vivo settings.

The global prevalence of resistance to antiviral drugs combined with antiretroviral therapy (cART) emphasizes the need for continuous monitoring to better understand the dynamics of drug-resistant mutations to guide treatment optimization and patient management as well as check the spread of resistant viral strains. We have recently integrated next-generation sequencing (NGS) into routine HIV drug resistance (HIVDR) monitoring, with key challenges in the bioinformatic analysis and interpretation of the complex data generated, while ensuring data security and privacy for patient information. To address these challenges, here we present HIV-DRIVES (HIV Drug Resistance Identification, Variant Evaluation, and Surveillance), an NGS-HIVDR bioinformatics pipeline that has been developed and validated using Illumina short reads, FASTA, and Sanger ab1.seq files.

UNASSIGNED: The successful detection of drug-resistance mutations (DRMs) in HIV-1 infected patients has improved the management of HIV infection. Next-generation sequencing (NGS) to detect low-frequency mutations is predicted to be useful for efficiently testing minority drug resistance mutations, which could contribute to virological failure. This study employed Sanger sequencing and NGS to detect and compare minority and majority drug resistance mutations in HIV-1 strains in treatment-naive patients from Ghana.
UNASSIGNED: From a previous study, 20 antiretroviral therapy (ART)-naive participants were selected for a cross-sectional study. Sanger sequencing and NGS techniques were used to detect the majority and minority HIV drug resistance (HIVDR) mutations, respectively, in the protease (PR) and partial reverse transcriptase (RT) genes. NGS detected mutations at 1 % and 5 % frequencies and Sanger sequencing at ≥20 % frequencies. The sequences obtained from NGS and Sanger sequencing platforms were submitted to the Stanford HIV drug resistance database for subtyping, mutation identification, and interpretations.
UNASSIGNED: Sequences from the twenty participants where the CRF02_AG was the predominant strain (16, 80 %) were analyzed. NGS detected 25 mutations in the RT and PR genes, compared to 21 mutations by Sanger sequencing. Minority DRMs were detected at the prevalence of 55.0 % with NGS against 35 % DRMs by Sanger sequencing. One of the patients had eight different HIVDR variants, with two minority variants. These mutations were directed against PI (K20I and D30DN), NNRTI (Y181C, M23LM and V108I) and NRTI (K65R, M184I, and D67N).
UNASSIGNED: The study affirms the usefulness of genomic sequencing for drug resistance testing in HIV. It further shows that Sanger sequencing alone may not be adequate to detect mutations and that NGS capacity should be developed and deployed in the Ghanaian clinical settings for patients living with HIV.

BACKGROUND: Large language models (LLMs) that can efficiently screen and identify studies meeting specific criteria would streamline literature reviews. Additionally, those capable of extracting data from publications would enhance knowledge discovery by reducing the burden on human reviewers.
METHODS: We created an automated pipeline utilizing OpenAI GPT-4 32 K API version \"2023-05-15\" to evaluate the accuracy of the LLM GPT-4 responses to queries about published papers on HIV drug resistance (HIVDR) with and without an instruction sheet. The instruction sheet contained specialized knowledge designed to assist a person trying to answer questions about an HIVDR paper. We designed 60 questions pertaining to HIVDR and created markdown versions of 60 published HIVDR papers in PubMed. We presented the 60 papers to GPT-4 in four configurations: (1) all 60 questions simultaneously; (2) all 60 questions simultaneously with the instruction sheet; (3) each of the 60 questions individually; and (4) each of the 60 questions individually with the instruction sheet.
RESULTS: GPT-4 achieved a mean accuracy of 86.9% - 24.0% higher than when the answers to papers were permuted. The overall recall and precision were 72.5% and 87.4%, respectively. The standard deviation of three replicates for the 60 questions ranged from 0 to 5.3% with a median of 1.2%. The instruction sheet did not significantly increase GPT-4\'s accuracy, recall, or precision. GPT-4 was more likely to provide false positive answers when the 60 questions were submitted individually compared to when they were submitted together.
CONCLUSIONS: GPT-4 reproducibly answered 3600 questions about 60 papers on HIVDR with moderately high accuracy, recall, and precision. The instruction sheet\'s failure to improve these metrics suggests that more sophisticated approaches are necessary. Either enhanced prompt engineering or finetuning an open-source model could further improve an LLM\'s ability to answer questions about highly specialized HIVDR papers.

BACKGROUND: Tenofovir/lamivudine/dolutegravir (TLD) is the preferred first-line antiretroviral therapy (ART) regimen for people with HIV (PWH), including those who were previously virologically suppressed on non-nucleoside reverse transcriptase inhibitors (NNRTIs). We sought to estimate the real-world effectiveness of the TLD transition in Ugandan public-sector clinics.
METHODS: We conducted a prospective cohort study of PWH ≥18 years who were transitioned from NNRTI-based ART to TLD. Study visits were conducted on the day of TLD transition and 24- and 48- weeks later. The primary endpoint was viral suppression (<200 copies/mL) at 48-weeks. We collected blood for retrospective viral load (VL) assessment and conducted genotypic resistance tests for specimens with VL >500 copies/mL.
RESULTS: We enrolled 500 participants (median age of 47 years; 41% women). At 48-weeks after TLD transition, 94% of participants were in care with a VL <200 copies/mL (n = 469/500); 2% (n = 11/500) were lost from care or died; and only 2% (n = 9/500) had a VL >500 copies/mL. No incident resistance to DTG was identified. Few participants (2%, n = 9/500) discontinued TLD due to adverse events.
CONCLUSIONS: High rates of viral suppression, high tolerability, and lack of emergent drug resistance support use of TLD as the preferred first-line regimen in the region.

Tackling HIV drug resistance is one of major challenges for ending AIDS epidemic, but the elevated expense of cutting-edge genomics hampers the advancement of HIV genotype testing for clinical care.
We developed a HIV genotype testing pipeline that centers on a cost-efficient portable Nanopore sequencer. Accuracy verification was conducted through comparison with parallel data obtained via fixed-site Pacbio sequencing. Our complete pol-gene sequencing strategy coupled with portable high-throughput sequencing was applied to identify drug resistance mutations across 58 samples sourced from the ART-treated Los Angeles General Medical Center Rand Schrader Clinic (LARSC) cohort (7 samples from 7 individuals) and the ART-naïve Center for HIV/AIDS Vaccine Immunology (CHAVI) cohort (51 samples from 38 individuals).
A total of 472 HIV consensus sequences, each tagged with a unique molecular identifier, were produced from over 1.4 million bases acquired through portable Nanopore sequencing, which matched those obtained independently via Pacbio sequencing. With this desirable accuracy, we first documented the linkage of multidrug cross-resistance mutations across Integrase Strand Transfer inhibitors (INSTIs) and Non-Nucleoside Reverse Transcriptase Inhibitors (NNRTIs) from an individual failing a second-generation INSTI regimen. By producing more than 500 full-length HIV pol gene sequences in a single portable sequencing run, we detected Protease Inhibitor (PI), Nucleoside Reverse Transcriptase Inhibitor (NRTI), NNRTI and INSTI resistance mutations. All drug resistance mutations identified through portable sequencing were cross-validated using fixed-site Pacbio sequencing.
Our accurate and affordable HIV drug resistance testing solution is adaptable for both individual patient care and large-scale surveillance initiatives.

We evaluated the prevalence and correlates of HIV viral nonsuppression and HIV drug resistance (HIV-DR) in a cohort of people who inject drugs living with HIV (PWID-LH) and their sexual and injecting partners living with HIV in Kenya. HIV-DR testing was performed on participants with viral nonsuppression. Of 859 PWID-LH and their partners, 623 (72.5%) were on antiretroviral therapy (ART) ≥4 months and 148/623 (23.8%) were not virally suppressed. Viral nonsuppression was more common among younger participants and those on ART for a shorter duration. Among 122/148 (82.4%) successfully sequenced samples, 55 (45.1%) had detectable major HIV-DR mutations, mainly to non-nucleoside and nucleotide reverse transcriptase inhibitors (NNRTI and NRTI). High levels of HIV-DR among those with viral nonsuppression suggests need for viral load monitoring, adherence counseling, and timely switching to alternate ART regimens in this key population.

OBJECTIVE: HIV-1 Drug Resistance Mutations (DRMs) among Immunological failure (IF) on NRTI based first-line regimens, Thymidine analogue (TA) - AZT & D4T and Non-Thymidine Analogue (NTA) -TDF; and predict viral drug susceptibility to gain vision about optimal treatment strategies for second-line.
METHODS: Cross-sectionally, 300 HIV-1 infected patients, failing first-line HAART were included. HIV-1 pol gene spanning 20-240 codons of RT was genotyped and mutation pattern was examined, (IAS-USA 2014 and Stanford HIV drug resistance database v7.0).
RESULTS: The median age of the participants was 35 years (IQR 29-40), CD4 T cell count of TDF failures was low at 172 cells/μL (IQR 80-252), and treatment duration was low among TDF failures (24 months vs. 61 months) (p < 0.0001). Majority of the TDF failures were on EFV based first-line (89 % vs 45 %) (p < 0.0001). Level of resistance for TDF and AZT shows, that resistance to TDF was about one-third (37 %) of TDF participants and onefourth (23 %) of AZT participants; resistance to AZT was 17 % among TDF participants and 47 % among AZT participants; resistance to both AZT and TDF was significantly high among AZT participants [21 % vs. 8 %, OR 3.057 (95 % CI 1.4-6.8), p < 0.0001].
CONCLUSIONS: Although delayed identification of treatment failure caused high levels of acquired drug resistance in our study. Thus, we must include measures to regularize virological monitoring with integrated resistance testing in LMIC (Low and Middle Income Countries) like in India; this will help to preserve the effectiveness of ARV and ensure the success of ending AIDS as public health by 2030.