scholarly journals Drug Resistance Patterns and Virus Re-Suppression among HIV-1 Subtype C Infected Patients Receiving Non-Nucleoside Reverse Transcriptase Inhibitors in South Africa

2011 ◽  
Vol 02 (02) ◽  
Author(s):  
Ziad El-Khatib ◽  
Allison K. DeLong ◽  
David Katzenstein ◽  
Anna Mia Ekstrom ◽  
Johanna Ledwaba
Keyword(s):  
South Africa ◽  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Subtype C ◽  
Reverse Transcriptase Inhibitors ◽  
Nucleoside Reverse Transcriptase Inhibitors ◽  
Resistance Patterns ◽  
Hiv 1

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.

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 Protease Inhibitor Resistance Is Uncommon in HIV-1 Subtype C Infected Patients on Failing Second-Line Lopinavir/r-Containing Antiretroviral Therapy in South Africa

2011 ◽  
Vol 2011 ◽  
pp. 1-5 ◽  
Author(s):  
Carole L. Wallis ◽  
John W. Mellors ◽  
Willem D. F. Venter ◽  
Ian Sanne ◽  
Wendy Stevens
Keyword(s):  
South Africa ◽  
Drug Resistance ◽  
Protease Inhibitor ◽  
Virologic Failure ◽  
Second Line ◽  
Resistance Mutations ◽  
Subtype C ◽  
Resistance Patterns ◽  
Main Barrier ◽  
Hiv 1

Limited data exist on HIV-1 drug resistance patterns in South Africa following second-line protease-inhibitor containing regimen failure. This study examined drug resistance patterns emerging in 75 HIV-1 infected adults experiencing virologic failure on a second-line regimen containing 2 NRTI and lopinavir/ritonavir. Ninety six percent of patients (n=72) were infected with HIV-1 subtype C, two patients were infected with HIV-1 subtype D and one with HIV-1 subtype A1. Thirty nine percent (n=29) of patients had no resistance mutations in protease or reverse transcriptase suggesting that medication non-adherence was a major factor contributing to failure. Major lopinavir resistance mutations were infrequent (5 of 75; 7%), indicating that drug resistance is not the main barrier to future viral suppression.

scholarly journals Increase in HIV-1-transmitted drug resistance among ART-naïve youths at the China-Myanmar border during 2009 ~ 2017

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Yibo Ding ◽  
Min Chen ◽  
Jibao Wang ◽  
Yuecheng Yang ◽  
Yi Feng ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Cd4 Count ◽  
Transmitted Drug Resistance ◽  
Subtype C ◽  
Reverse Transcriptase Inhibitors ◽  
Recombination Hotspots ◽  
Subtype B ◽  
Sex With Men ◽  
Hiv 1

Abstract Background HIV-transmitted drug resistance (TDR) is found in antiretroviral therapy (ART)-naïve populations infected with HIV-1 with TDR mutations and is important for guiding future first- and second-line ART regimens. We investigated TDR and its effect on CD4 count in ART-naïve youths from the China-Myanmar border near the Golden Triangle to better understand TDR and effectively guide ART. Methods From 2009 to 2017, 10,832 HIV-1 infected individuals were newly reported along the Dehong border of China, 573 ART-naïve youths (16 ~ 25 y) were enrolled. CD4 counts were obtained from whole blood samples. HIV pol gene sequences were amplified from RNA extracted from plasma. The Stanford REGA program and jpHMM recombination prediction tool were used to determine genotypes. TDR mutations (TDRMs) were analyzed using the Stanford Calibrated Population Resistance tool. Results The most common infection route was heterosexuals (70.51%), followed by people who inject drugs (PWID, 19.20%) and men who have sex with men (MSM) (8.90%). The distribution of HIV genotypes mainly included the unique recombinant form (URF) (44.08%), 38.68% were CRFs, 13.24% were subtype C and 4.04% were subtype B. The prevalence of TDR increased significantly from 2009 to 2017 (3.48 to 9.48%) in ART-naïve youths (4.00 to 13.16% in Burmese subjects, 3.33 to 5.93% in Chinese subjects), and the resistance to non-nucleoside reverse transcriptase inhibitors (NNRTIs), nucleoside and nucleotide reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) were 3.49, 2.62, and 0.52%, respectively. Most (94.40%, n = 34) of HIV-1-infected patients with TDRM had mutation that conferred resistance to a single drug class. The most common mutations Y181I/C and K103N, were found in 7 and 9 youths, respectively. The mean CD4 count was significantly lower among individuals with TDRMs (373/mm3 vs. 496/mm3, p = 0.013). Conclusions The increase in the prevalence of HIV-1 TDR increase and a low CD4 count of patients with TDRMs in the China-Myanmar border suggests the need for considering drug resistance before initiating ART in HIV recombination hotspots.

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.

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