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Rugemalila J, Ndege R, Kunambi P, Shabani S, Sambu V, Rwebemberwa A, Kalluvya S, Sunguya B, Nagu T, Aboud S. Viral suppression after failure of PI-based ART among adolescents and youths with and without drug resistance mutations: a longitudinal analysis in Tanzania. J Antimicrob Chemother 2025:dkaf125. [PMID: 40314140 DOI: 10.1093/jac/dkaf125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Accepted: 03/29/2025] [Indexed: 05/03/2025] Open
Abstract
BACKGROUND People living with HIV (PLHIV) who fail first-line ART have a higher risk of failing subsequent ART. We examined viral suppression (VS) among adolescents and youths (AY) failing PI ART in Tanzania. METHODS We conducted a retrospective study nested within a national third-line cohort of PLHIV. We analysed data of 147 AY (aged 10-24 years) with failure of PI-based ART between 2020 and 2022 who were followed for 12 months to assess for VS. Descriptive statistics were summarized by demographics and clinical characteristics, and we used logistic regression to assess factors associated with virological failure (VF) and drug resistance mutations (DRMs). RESULTS More than 40% of 147 participants had HIV subtype A, 52% (76/147) harboured major PI DRMs and 35% had NRTI mutations. A PI regimen at ART initiation was associated with a major PI DRM adjusted relative risk (aRR) of 1.66 (95% CI: 1.13-2.44; P = 0.010). Among participants with major PI DRMs, 12.2% had intermediate to high levels of resistance to lopinavir and atazanavir, and 2.1% to darunavir, respectively. V82A was the most frequent PI DRM; NRTI mutations included thymidine analogue mutations and absent K65R. VS occurred in 65% of AY who had PI DRMs compared with 45% of those without DRMs; this difference was not statistically significant. CONCLUSIONS More than half of AY who had PI DRMs had a higher proportion of early VS (65%) compared with those without DRMs (45%). Optimal viral load monitoring, adherence intensification and routine drug resistance testing are key strategies to improve VS.
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Affiliation(s)
- Joan Rugemalila
- Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
- Department of Internal Medicine, Muhimbili National Hospital, Dar es Salaam, Tanzania
| | - Robert Ndege
- Department of Infectious Diseases, Ifakara Health Institute, Morogoro, Tanzania
| | - Peter Kunambi
- Department of Clinical Pharmacology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Siraji Shabani
- Department of Strategic Information, National AIDs Control Program, Dodoma, Tanzania
| | - Veryeh Sambu
- Department of Strategic Information, National AIDs Control Program, Dodoma, Tanzania
| | - Anath Rwebemberwa
- Department of Strategic Information, National AIDs Control Program, Dodoma, Tanzania
| | - Samuel Kalluvya
- Department of Internal Medicine, Catholic University of Health and Allied Sciences, Mwanza, Tanzania
| | - Bruno Sunguya
- Department of Community Health, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Tumaini Nagu
- Department of Internal Medicine, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
| | - Said Aboud
- Department of Microbiology and Immunology, Muhimbili University of Health and Allied Sciences, Dar es Salaam, Tanzania
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Sebastião CS, Abecasis AB, Jandondo D, Sebastião JMK, Vigário J, Comandante F, Pingarilho M, Pocongo B, Cassinela E, Gonçalves F, Gomes P, Giovanetti M, Francisco NM, Sacomboio E, Brito M, Neto de Vasconcelos J, Morais J, Pimentel V. HIV-1 diversity and pre-treatment drug resistance in the era of integrase inhibitor among newly diagnosed ART-naïve adult patients in Luanda, Angola. Sci Rep 2024; 14:15893. [PMID: 38987263 PMCID: PMC11237101 DOI: 10.1038/s41598-024-66905-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Accepted: 07/05/2024] [Indexed: 07/12/2024] Open
Abstract
The surveillance of drug resistance in the HIV-1 naïve population remains critical to optimizing the effectiveness of antiretroviral therapy (ART), mainly in the era of integrase strand transfer inhibitor (INSTI) regimens. Currently, there is no data regarding resistance to INSTI in Angola since Dolutegravir-DTG was included in the first-line ART regimen. Herein, we investigated the HIV-1 genetic diversity and pretreatment drug resistance (PDR) profile against nucleoside/tide reverse transcriptase inhibitors (NRTIs), non-nucleoside reverse transcriptase inhibitors (NNRTIs), protease inhibitors (PIs), and INSTIs, using a next-generation sequencing (NGS) approach with MinION, established to track and survey DRMs in Angola. This was a cross-sectional study comprising 48 newly HIV-diagnosed patients from Luanda, Angola, screened between March 2022 and May 2023. PR, RT, and IN fragments were sequenced for drug resistance and molecular transmission cluster analysis. A total of 45 out of the 48 plasma samples were successfully sequenced. Of these, 10/45 (22.2%) presented PDR to PIs/NRTIs/NNRTIs. Major mutations for NRTIs (2.2%), NNRTIs (20%), PIs (2.2%), and accessory mutations against INSTIs (13.3%) were detected. No major mutations against INSTIs were detected. M41L (2%) and I85V (2%) mutations were detected for NRTI and PI, respectively. K103N (7%), Y181C (7%), and K101E (7%) mutations were frequently observed in NNRTI. The L74M (9%) accessory mutation was frequently observed in the INSTI class. HIV-1 pure subtypes C (33%), F1 (17%), G (15%), A1 (10%), H (6%), and D (4%), CRF01_AG (4%) were observed, while about 10% were recombinant strains. About 31% of detected HIV-1C sequences were in clusters, suggesting small-scale local transmission chains. No major mutations against integrase inhibitors were detected, supporting the continued use of INSTI in the country. Further studies assessing the HIV-1 epidemiology in the era of INSTI-based ART regimens are needed in Angola.
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Affiliation(s)
- Cruz S Sebastião
- Centro de Investigação em Saúde de Angola (CISA), Caxito, Angola.
- Instituto Nacional de Investigação em Saúde (INIS), Luanda, Angola.
- Instituto de Ciências da Saúde (ICISA), Universidade Agostinho Neto (UAN), Luanda, Angola.
- Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008, Lisboa, Portugal.
| | - Ana B Abecasis
- Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008, Lisboa, Portugal
| | | | | | - João Vigário
- Instituto Nacional de Sangue (INS), Ministério da Saúde, Luanda, Angola
| | | | - Marta Pingarilho
- Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008, Lisboa, Portugal
| | - Bárbara Pocongo
- Instituto Nacional de Luta contra SIDA (INLS), Ministério da Saúde, Luanda, Angola
| | - Edson Cassinela
- Centro Nacional de Investigação Científica (CNIC), Luanda, Angola
| | - Fátima Gonçalves
- Laboratório de Biologia Molecular (LMCBM, SPC, CHLO-HEM), 1349-019, Lisbon, Portugal
| | - Perpétua Gomes
- Laboratório de Biologia Molecular (LMCBM, SPC, CHLO-HEM), 1349-019, Lisbon, Portugal
- Egas Moniz Center for Interdisciplinary Research (CiiEM), Egas Moniz School of Health & Sicence, Caparica, Almada, Portugal
| | - Marta Giovanetti
- Department of Science and Technology for Humans and the Environment, University of Campus Bio-Medico di Roma, Rome, Italy
| | | | - Euclides Sacomboio
- Instituto de Ciências da Saúde (ICISA), Universidade Agostinho Neto (UAN), Luanda, Angola
| | - Miguel Brito
- Centro de Investigação em Saúde de Angola (CISA), Caxito, Angola
- H&TRC-Health & Technology Research Center, ESTeSL-Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, Lisbon, Portugal
| | | | - Joana Morais
- Instituto Nacional de Investigação em Saúde (INIS), Luanda, Angola
| | - Victor Pimentel
- Global Health and Tropical Medicine, GHTM, Associate Laboratory in Translation and Innovation Towards Global Health, LA-REAL, Instituto de Higiene e Medicina Tropical, IHMT, Universidade NOVA de Lisboa, UNL, Rua da Junqueira 100, 1349-008, Lisboa, Portugal.
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Spectrum of Atazanavir-Selected Protease Inhibitor-Resistance Mutations. Pathogens 2022; 11:pathogens11050546. [PMID: 35631067 PMCID: PMC9148044 DOI: 10.3390/pathogens11050546] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 04/26/2022] [Accepted: 05/03/2022] [Indexed: 12/04/2022] Open
Abstract
Ritonavir-boosted atazanavir is an option for second-line therapy in low- and middle-income countries (LMICs). We analyzed publicly available HIV-1 protease sequences from previously PI-naïve patients with virological failure (VF) following treatment with atazanavir. Overall, 1497 patient sequences were identified, including 740 reported in 27 published studies and 757 from datasets assembled for this analysis. A total of 63% of patients received boosted atazanavir. A total of 38% had non-subtype B viruses. A total of 264 (18%) sequences had a PI drug-resistance mutation (DRM) defined as having a Stanford HIV Drug Resistance Database mutation penalty score. Among sequences with a DRM, nine major DRMs had a prevalence >5%: I50L (34%), M46I (33%), V82A (22%), L90M (19%), I54V (16%), N88S (10%), M46L (8%), V32I (6%), and I84V (6%). Common accessory DRMs were L33F (21%), Q58E (16%), K20T (14%), G73S (12%), L10F (10%), F53L (10%), K43T (9%), and L24I (6%). A novel nonpolymorphic mutation, L89T occurred in 8.4% of non-subtype B, but in only 0.4% of subtype B sequences. The 264 sequences included 3 (1.1%) interpreted as causing high-level, 14 (5.3%) as causing intermediate, and 27 (10.2%) as causing low-level darunavir resistance. Atazanavir selects for nine major and eight accessory DRMs, and one novel nonpolymorphic mutation occurring primarily in non-B sequences. Atazanavir-selected mutations confer low-levels of darunavir cross resistance. Clinical studies, however, are required to determine the optimal boosted PI to use for second-line and potentially later line therapy in LMICs.
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Detection of Gag C-terminal mutations among HIV-1 non-B subtypes in a subset of Cameroonian patients. Sci Rep 2022; 12:1374. [PMID: 35082353 PMCID: PMC8791941 DOI: 10.1038/s41598-022-05375-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2021] [Accepted: 12/17/2021] [Indexed: 11/30/2022] Open
Abstract
Response to ritonavir-boosted-protease inhibitors (PI/r)-based regimen is associated with some Gag mutations among HIV-1 B-clade. There is limited data on Gag mutations and their covariation with mutations in protease among HIV-1 non-B-clades at PI/r-based treatment failure. Thus, we characterized Gag mutations present in isolates from HIV-1 infected individuals treated with a PI/r-regimen (n = 143) and compared them with those obtained from individuals not treated with PI/r (ART-naïve [n = 101] or reverse transcriptase inhibitors (RTI) treated [n = 118]). The most frequent HIV-1 subtypes were CRF02_AG (54.69%), A (13.53%), D (6.35%) and G (4.69%). Eighteen Gag mutations showed a significantly higher prevalence in PI/r-treated isolates compared to ART-naïve (p < 0.05): Group 1 (prevalence < 1% in drug-naïve): L449F, D480N, L483Q, Y484P, T487V; group 2 (prevalence 1–5% in drug-naïve): S462L, I479G, I479K, D480E; group 3 (prevalence ≥ 5% in drug-naïve): P453L, E460A, R464G, S465F, V467E, Q474P, I479R, E482G, T487A. Five Gag mutations (L449F, P453L, D480E, S465F, Y484P) positively correlated (Phi ≥ 0.2, p < 0.05) with protease-resistance mutations. At PI/r-failure, no significant difference was observed between patients with and without these associated Gag mutations in term of viremia or CD4 count. This analysis suggests that some Gag mutations show an increased frequency in patients failing PIs among HIV-1 non-B clades.
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