scholarly journals HIV Drug Resistance Mutations in Non-B Subtypes After Prolonged Virological Failure on NNRTI-Based First-Line Regimens in Sub-Saharan Africa

2017 ◽  
Vol 75 (2) ◽  
pp. e45-e54 ◽  
Author(s):  
Cissy Kityo ◽  
Jennifer Thompson ◽  
Immaculate Nankya ◽  
Anne Hoppe ◽  
Emmanuel Ndashimye ◽  
...  
PeerJ ◽  
2021 ◽  
Vol 9 ◽  
pp. e11794
Author(s):  
Ozkan Aydemir ◽  
Benedicta Mensah ◽  
Patrick W. Marsh ◽  
Benjamin Abuaku ◽  
James Leslie Myers-Hansen ◽  
...  

Antimalarial resistance surveillance in sub-Saharan Africa is often constrained by logistical and financial challenges limiting its breadth and frequency. At two sites in Ghana, we have piloted a streamlined sample pooling process created immediately by sequential addition of positive malaria cases at the time of diagnostic testing. This streamlined process involving a single tube minimized clinical and laboratory work and provided accurate frequencies of all known drug resistance mutations after high-throughput targeted sequencing using molecular inversion probes. Our study validates this method as a cost-efficient, accurate and highly-scalable approach for drug resistance mutation monitoring that can potentially be applied to other infectious diseases such as tuberculosis.


PLoS ONE ◽  
2014 ◽  
Vol 9 (1) ◽  
pp. e86771 ◽  
Author(s):  
Marie-Anne Vandenhende ◽  
Pantxika Bellecave ◽  
Patricia Recordon-Pinson ◽  
Sandrine Reigadas ◽  
Yannick Bidet ◽  
...  

AIDS ◽  
2011 ◽  
Vol 25 (17) ◽  
pp. 2183-2188 ◽  
Author(s):  
Avelin F. Aghokeng ◽  
Charles Kouanfack ◽  
Christian Laurent ◽  
Eugenie Ebong ◽  
Arrah Atem-Tambe ◽  
...  

2012 ◽  
Vol 28 (2) ◽  
pp. 171-175 ◽  
Author(s):  
Kim C.E. Sigaloff ◽  
Tina Ramatsebe ◽  
Raquel Viana ◽  
Tobias F. Rinke de Wit ◽  
Carole L. Wallis ◽  
...  

2019 ◽  
Vol 74 (10) ◽  
pp. 3011-3015 ◽  
Author(s):  
Anna Maria Geretti ◽  
Adam Abdullahi ◽  
Olga Mafotsing Fopoussi ◽  
Laura Bonnett ◽  
Victoire Fokom Defo ◽  
...  

Abstract Background In sub-Saharan Africa, detecting resistance-associated mutations (RAMs) at failure of first-line ART with two NRTIs plus an NNRTI predicts improved virological responses to second-line therapy with two NRTIs plus a ritonavir-boosted PI (PI/r). This indicates residual NRTI activity in the presence of RAMs, although additional factors may contribute to the effect. Objectives The aim of this study was to investigate the influence of pre-existing RAMs on the outcomes of maintenance monotherapy with ritonavir-boosted darunavir within a randomized trial in Cameroon. Methods RAMs were detected in HIV-1 DNA using PBMCs collected at initiation of darunavir/ritonavir monotherapy. Adherence was assessed by pill count and visual analogue scale (VAS). Predictors of virological failure (confirmed or last available viral load >400 copies/mL) were explored by logistic regression analysis. Trial name = MANET (NCT02155101). Results After NNRTI-based therapy, participants (n = 81) had received PI/r-based therapy for a median of 3.2 years and had a confirmed viral load <60 copies/mL and a median CD4 count of 466 cells/mm3. NRTI and NNRTI RAMs were detected in 39/60 (65.0%) and 41/60 (68.3%) HIV-1 DNA sequences, respectively. Over 48 weeks of monotherapy, 16/81 (19.8%) patients experienced virological failure. After adjusting for age, HIV-1 DNA load, adherence by VAS and RAM status, virological failure was less likely with higher VAS-measured adherence (adjusted OR 0.04, 95% CI 0.01–0.37; P = 0.004) and detectable HIV-1 DNA RAMs (adjusted OR 0.15, 95% CI 0.03–0.82; P = 0.028). Conclusions Pre-existing NRTI and NNRTI RAMs are associated with improved virological responses to NRTI-sparing ART in sub-Saharan Africa, indicating a predictive effect that is independent of residual NRTI activity.


2020 ◽  
Author(s):  
Shabani Ramadhani Mziray ◽  
Happiness H Kumburu ◽  
Hellen B Assey ◽  
Tolbert B Sonda ◽  
Michael J Mahande ◽  
...  

AbstractDrug resistance is a public health concern. Profiles of HIV drug resistance mutations (HIVDRM) and virological failure (VF) are not extensively studied in Tanzania. This study aimed to determine HIVDRM and predictors of VF in HIV-infected individuals failing first-line HIV drugs in Moshi, northern Tanzania. A case-control study was conducted at KCMC, Mawenzi, Pasua and Majengo health facilities with HIV-care and treatment clinics in Moshi from October, 2017 to August, 2018. Cases and controls were HIV-infected individuals with VF and viral suppression (VS) respectively. HIV-1 reverse transcriptase and protease genes were amplified and sequenced. Stanford University’s HIV drug resistance database and REGA HIV-1 Subtyping tool 3.0 determined HIVDRM and HIV-1 subtypes respectively. Odds ratios with 95% confidence intervals investigated predictors of VF. P-value <5% was considered statistically significant. A total of 124 participants were recruited, of whom 63 (50.8%) had VF and 61 (49.2%) had VS. Majority (66.1%) were females. Median [IQR] age and duration on ART were 45 [35-52] years and 72 [48-104] months respectively. Twenty five out of 26 selected HIV-1 RNA samples from cases were successively sequenced. Twenty four samples (96%) had at least one major mutation conferring resistance to HIV drugs, with non-nucleoside reverse transcriptase inhibitor (NNRTI) associated mutations as the majority (92%). Frequent NNRTI resistance mutations were K103N (n=11), V106M (n=5) and G190A (n=5). Prevalent nucleoside reverse transcriptase inhibitors mutations were M184V (n=17), K70R (n=7) and D67N (n=6). Dual-class resistance was observed in 16 (64%) samples. Thirteen samples (52%) had at least one thymidine analogue-associated resistance mutation (TAM). Three samples (12%) had T69D mutation with at least 1 TAM. Age was independently associated with VF [aOR 0.94 (0.90-0.97) p<0.001]. In conclusion, HIV drug resistance is common among people failing antiretroviral therapy and resistance testing will help to guide switching of HIV drugs.


2016 ◽  
Vol 71 (10) ◽  
pp. 2918-2927 ◽  
Author(s):  
T. Sonia Boender ◽  
Cissy M. Kityo ◽  
Ragna S. Boerma ◽  
Raph L. Hamers ◽  
Pascale Ondoa ◽  
...  

Pathogens ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 264
Author(s):  
Miaomiao Li ◽  
Shujia Liang ◽  
Chao Zhou ◽  
Min Chen ◽  
Shu Liang ◽  
...  

Patients with antiretroviral therapy interruption have a high risk of virological failure when re-initiating antiretroviral therapy (ART), especially those with HIV drug resistance. Next-generation sequencing may provide close scrutiny on their minority drug resistance variant. A cross-sectional study was conducted in patients with ART interruption in five regions in China in 2016. Through Sanger and next-generation sequencing in parallel, HIV drug resistance was genotyped on their plasma samples. Rates of HIV drug resistance were compared by the McNemar tests. In total, 174 patients were included in this study, with a median 12 (interquartile range (IQR), 6–24) months of ART interruption. Most (86.2%) of them had received efavirenz (EFV)/nevirapine (NVP)-based first-line therapy for a median 16 (IQR, 7–26) months before ART interruption. Sixty-one (35.1%) patients had CRF07_BC HIV-1 strains, 58 (33.3%) CRF08_BC and 35 (20.1%) CRF01_AE. Thirty-four (19.5%) of the 174 patients were detected to harbor HIV drug-resistant variants on Sanger sequencing. Thirty-six (20.7%), 37 (21.3%), 42 (24.1%), 79 (45.4%) and 139 (79.9) patients were identified to have HIV drug resistance by next-generation sequencing at 20% (v.s. Sanger, p = 0.317), 10% (v.s. Sanger, p = 0.180), 5% (v.s. Sanger, p = 0.011), 2% (v.s. Sanger, p < 0.001) and 1% (v.s. Sanger, p < 0.001) of detection thresholds, respectively. K65R was the most common minority mutation, of 95.1% (58/61) and 93.1% (54/58) in CRF07_BC and CRF08_BC, respectively, when compared with 5.7% (2/35) in CRF01_AE (p < 0.001). In 49 patients that followed-up a median 10 months later, HIV drug resistance mutations at >20% frequency such as K103N, M184VI and P225H still existed, but with decreased frequencies. The prevalence of HIV drug resistance in ART interruption was higher than 15% in the survey. Next-generation sequencing was able to detect more minority drug resistance variants than Sanger. There was a sharp increase in minority drug resistance variants when the detection threshold was below 5%.


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