Drivers of HIV-1 Drug Resistance to Non-Nucleoside Reverse-Transcriptase Inhibitors (NNRTIs) in Nine African Countries: A Modelling Study

2021 ◽  
Author(s):  
Julien Riou ◽  
Carole Dupont ◽  
Silvia Bertagnolio ◽  
Ravindra K. Gupta ◽  
Roger D. Kouyos ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Reverse Transcriptase Inhibitors ◽  
African Countries ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Hiv 1 ◽  
Modelling Study

Evaluation of a novel in-house HIV-1 genotype drug resistance assay using clinical samples in China

2021 ◽  
Vol 19 ◽  
Author(s):  
Peijie Gao ◽  
Fengting Yu ◽  
Xiaozhen Yang ◽  
Dan Li ◽  
Yalun Shi ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
High Efficiency ◽  
Clinical Samples ◽  
Genotype Distribution ◽  
Resistance Mutations ◽  
Reverse Transcriptase Inhibitors ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Subtype B ◽  
Hiv 1

Background: HIV drug resistance poses a major challenge for anti-retroviral treatment (ART) and the prevention and control of HIV epidemic. Objective: The study aims to establish a novel in-house assay with high efficiency, named AP in-house method, that would be suitable for HIV-1 drug resistance detection in China. Methods: An in-house HIV-1 genotyping method was used to sequence the partial pol gene from 60 clinical plasma samples; the results of our test were compared with a commercial ViroSeq HIV-1 genotyping system. Results : Among sixty samples, 58(96.7%) were successfully amplified by AP in-house method, five of them harbored viral load below 1,000 copies/ml. The genotype distribution was 43.1% CRF07_BC (25/58), 39.7% CRF01_AE (23/58), 6.9% CRF55_01B (4/58), 5.2% subtype B (3/58) and 5.2% CRF08_BC (3/58). Compared with that of the ViroSeq system, the consistent rate of these nucleotides and amino acids obtained by AP in-house method was up to 99.5 ± 0.4% and 99.5 ± 0.4%, respectively. A total of 290 HIV-1 drug resistance mutations were identified by two methods, including 126 nucleoside reverse transcriptase inhibitors (NRTIs), 145 non-nucleoside reverse transcriptase inhibitors (NNRTIs) and 19 protease inhibitors (PIs) resistance mutations. Out of them, 94.1% (273/290) were completely concordant between the AP in-house method and the ViroSeq system. Conclusion: Overall, the evaluation of AP in-house method provided comparable results to those of the ViroSeq system on diversified HIV-1 subtypes in China.

scholarly journals Dynamics and drivers of HIV-1 drug resistance to non-nucleoside reverse-transcriptase inhibitors in nine African countries

2020 ◽  
Author(s):  
Julien Riou ◽  
Carole Dupont ◽  
Silvia Bertagnolio ◽  
Ravindra Gupta ◽  
Roger D Kouyos ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Survey Data ◽  
Southern Africa ◽  
Hiv Care ◽  
Reverse Transcriptase Inhibitors ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Nnrti Resistance ◽  
Country Level ◽  
Hiv 1

Background. The rise of HIV-1 drug resistance to non-nucleoside reverse-transcriptase inhibitors (NNRTI) is a major problem in countries of southern Africa. Understanding the dynamics and drivers of NNRTI resistance at the country level is of critical importance for planning future antiretroviral therapy (ART) programs. Methods. We collected survey data on pretreatment drug resistance (PDR) to NNRTIs in nine countries of southern Africa from 2000 to 2018. We fitted a dynamic transmission model to key indicators of the local HIV-1 epidemics (HIV-1 prevalence, ART coverage and mortality) and to survey data about NNRTI PDR using a Bayesian hierarchical framework. We estimated two country-level indicators: the proportion of NNRTI PDR that cannot be attributed to ART programmes and the vulnerability to NNRTI PDR within ART programmes. We explored associations between vulnerability to NNRTI PDR and country-level covariates.Findings. The model reliably described the dynamics of HIV-1 and the dynamics of NNRTI PDR in each country. Predicted levels of NNRTI PDR in 2018 ranged between 3.3% (95% credible interval 1.9% to 7.1%) in Mozambique and 25.3% (17.9% to 33.8%) in Eswatini. The main determinant of high NNRTI PDR were the conjunction of high ART coverage and high vulnerability to NNRTI PDR within ART programmes. Heterogeneity in the vulnerability to NNRTI resistance was associated with features of the healthcare financing system at the national level.Interpretation. Between-country comparison shows that NNRTI PDR can be controlled despite high levels of ART coverage, as in Botswana, Lesotho, Mozambique and Zambia, likely because of better adherence, patient management procedures and quality in HIV care service delivery.

scholarly journals Transmitted drug resistance and transmission clusters among HIV-1 treatment-naïve patients in Guangdong, China: a cross-sectional study

2021 ◽  
Vol 18 (1) ◽  
Author(s):  
Yun Lan ◽  
Linghua Li ◽  
Xiang He ◽  
Fengyu Hu ◽  
Xizi Deng ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Transmitted Drug Resistance ◽  
Resistance Mutations ◽  
Reverse Transcriptase Inhibitors ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Cross Sectional ◽  
Genetic Transmission ◽  
Treatment Naïve ◽  
Hiv 1

Abstract Background Transmitted drug resistance (TDR) that affects the effectiveness of the first-line antiretroviral therapy (ART) regimen is becoming prevalent worldwide. However, its prevalence and transmission among HIV-1 treatment-naïve patients in Guangdong, China are rarely reported. We aimed to comprehensively analyze the prevalence of TDR and the transmission clusters of HIV-1 infected persons before ART in Guangdong. Methods The HIV-1 treatment-naïve patients were recruited between January 2018 and December 2018. The HIV-1 pol region was amplified by reverse transcriptional PCR and sequenced by sanger sequencing. Genotypes, surveillance drug resistance mutations (SDRMs) and TDR were analyzed. Genetic transmission clusters among patients were identified by pairwise Tamura-Nei 93 genetic distance, with a threshold of 0.015. Results A total of 2368 (97.17%) HIV-1 pol sequences were successfully amplified and sequenced from the enrolled 2437 patients. CRF07_BC (35.90%, 850/2368), CRF01_AE (35.56%, 842/2368) and CRF55_01B (10.30%, 244/2368) were the main HIV-1 genotypes circulating in Guangdong. Twenty-one SDRMs were identified among fifty-two drug-resistant sequences. The overall prevalence of TDR was 2.20% (52/2368). Among the 2368 patients who underwent sequencing, 8 (0.34%) had TDR to protease inhibitors (PIs), 22 (0.93%) to nucleoside reverse transcriptase inhibitors (NRTIs), and 23 (0.97%) to non-nucleoside reverse transcriptase inhibitors (NNRTIs). Two (0.08%) sequences showed dual-class resistance to both NRTIs and NNRTIs, and no sequences showed triple-class resistance. A total of 1066 (45.02%) sequences were segregated into 194 clusters, ranging from 2 to 414 sequences. In total, 15 (28.85%) of patients with TDR were included in 9 clusters; one cluster contained two TDR sequences with the K103N mutation was observed. Conclusions There is high HIV-1 genetic heterogeneity among patients in Guangdong. Although the overall prevalence of TDR is low, it is still necessary to remain vigilant regarding some important SDRMs.

scholarly journals Pretreatment and Acquired Antiretroviral Drug Resistance Among Persons Living With HIV in Four African Countries

2020 ◽  
Author(s):  
Trevor A Crowell ◽  
Brook Danboise ◽  
Ajay Parikh ◽  
Allahna Esber ◽  
Nicole Dear ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Management Strategies ◽  
World Health ◽  
Resistance Mutations ◽  
Reverse Transcriptase Inhibitors ◽  
African Countries ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Persons Living With Hiv ◽  
Nnrti Mutation

Abstract Background Emerging HIV drug resistance (HIVDR) could jeopardize the success of standardized HIV management protocols in resource-limited settings. We characterized HIVDR among antiretroviral therapy (ART)-naive and experienced participants in the African Cohort Study (AFRICOS). Methods From January 2013 to April 2019, adults with HIV-1 RNA >1000 copies/mL underwent ART history review and HIVDR testing upon enrollment at 12 clinics in Uganda, Kenya, Tanzania, and Nigeria. We calculated resistance scores for specific drugs and tallied major mutations to non-nucleoside reverse transcriptase inhibitors (NNRTIs), nucleoside reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) using Stanford HIVDB 8.8 and SmartGene IDNS software. For ART-naive participants, World Health Organization surveillance drug resistance mutations (SDRMs) were noted. Results HIVDR testing was performed on 972 participants with median age 35.7 (interquartile range [IQR] 29.7–42.7) years and median CD4 295 (IQR 148–478) cells/mm3. Among 801 ART-naive participants, the prevalence of SDRMs was 11.0%, NNRTI mutations 8.2%, NRTI mutations 4.7%, and PI mutations 0.4%. Among 171 viremic ART-experienced participants, NNRTI mutation prevalence was 83.6%, NRTI 67.8%, and PI 1.8%. There were 90 ART-experienced participants with resistance to both efavirenz and lamivudine, 33 (36.7%) of whom were still prescribed these drugs. There were 10 with resistance to both tenofovir and lamivudine, 8 (80.0%) of whom were prescribed these drugs. Conclusions Participants on failing ART regimens had a high burden of HIVDR that potentially limited the efficacy of standardized first- and second-line regimens. Management strategies that emphasize adherence counseling while delaying ART switch may promote drug resistance and should be reconsidered.

scholarly journals Increased acquired protease inhibitor drug resistance mutations in minor HIV-1 quasispecies from infected patients suspected of failing on national second-line therapy in South Africa

2020 ◽  
Author(s):  
Adetayo Emmanuel Obasa ◽  
Anoop T Ambikan ◽  
Soham Gupta ◽  
Ujjwal Neogi ◽  
Graeme Brendon Jacobs
Keyword(s):  
South Africa ◽  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Second Line ◽  
Viral Quasispecies ◽  
Resistance Mutations ◽  
Reverse Transcriptase Inhibitors ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Drug Resistance Mutations ◽  
Hiv 1

Abstract Background: HIV-1C has been shown to have a greater risk of virological failure and reduced susceptibility towards boosted protease inhibitors (bPIs), a component of second-line combination antiretroviral therapy (cART) in South Africa. This study entailed an evaluation of HIV-1 drug resistance-associated mutations (RAMs) among minor viral populations through high-throughput sequencing genotypic resistance testing (HTS-GRT) in patients suspected of failing on the South African national second-line cART regimen with bPIs.Methods: During 2017 and 2018, 67 patient samples were selected, of which 56 samples were successfully analyzed. All patients were receiving bPIs as part of their cART. Viral RNA was extracted, and complete pol genes were amplified and sequenced using Illumina HiSeq2500, followed by bioinformatics analysis to quantify the RAMs according to the Stanford HIV Drug Resistance Database.Results: Statistically significantly (p<0.001) higher PI RAMs were observed in minor viral quasispecies (25%; 14/56) compared to nucleoside reverse transcriptase inhibitors (11%; 6/56), non-nucleoside reverse transcriptase inhibitors (9%; 5/56) and integrase inhibitor RAM (4%; 2/56). The majority of the drug resistance mutations in the minor viral quasispecies were observed in the V82A mutation (n=13) in protease and K65R (n=5), K103N (n=7) and M184V (n=5) in reverse transcriptase.Conclusions: HTS-GRT improved the identification of PI and reverse transcriptase inhibitor (RTI) RAMs in second-line cART patients from South Africa compared to the conventional GRT with ≥20% used in Sanger-based sequencing. Several RTI RAMs, such as K65R, M184V or K103N and PI RAM V82A, were identified in <20% of the population. Deep sequencing could be of greater value in detecting acquired resistance mutations early.

scholarly journals Prevalence of transmitted drug resistance among HIV-1 treatment-naive patients in Beijing

2018 ◽  
Vol 146 (3) ◽  
pp. 339-344 ◽  
Author(s):  
Y.X. Song ◽  
R.L. Xin ◽  
Z.C. Li ◽  
H.W. Yu ◽  
W.H. Lun ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Transmitted Drug Resistance ◽  
Resistance Mutations ◽  
Reverse Transcriptase Inhibitors ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Frequent Mutations ◽  
Treatment Naïve ◽  
Sex With Men ◽  
Hiv 1

AbstractTo optimise patients’ outcomes and gain insight into transmitted drug resistance (TDR) among human immunodeficiency virus (HIV)-1 treatment-naive patients in Beijing, the prevalence of TDR was assessed. Demographic and clinical data of 1241 treatment-naive patients diagnosed between April 2014 and February 2015 were collected. TDR was defined using the Stanford University HIV drug resistance mutations database. The risk factors were evaluated by multi-logistic regression analysis. Among 932 successfully amplified cases, most were male (96.78%) and infected through men having sex with men (91.74%). Genotype were CRF01_AE (56.44%), B (20.60%), CRF07_BC (19.96%), C (1.61%) and other genotypes (1.39%). The overall prevalence of TDR was 6.12%. Most frequent mutations occurred in non-nucleoside reverse transcriptase inhibitors (NNRTIs) (3.11%), followed by protease inhibitors (PIs) (2.25%) and nucleoside reverse transcriptase inhibitors (NRTIs) (1.32%). Furthermore, HIV-1 genotype was associated with high risk of resistance, in which genotype C and other genotype may have higher risk for resistance. The prevalence among treatment-naive patients in Beijing was low. Resistance to NNRTIs was higher than with PIs or NRTIs. Continuous monitoring of regional levels of HIV-1 TDRs would contribute to improve treatment outcomes and prevent failures.

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