Extensive drug resistance during low-level HIV viraemia while taking NNRTI-based ART supports lowering the viral load threshold for regimen switch in resource-limited settings: a pre-planned analysis from the SESOTHO trial

Author(s):  
Jennifer Anne Brown ◽  
Alain Amstutz ◽  
Bienvenu Lengo Nsakala ◽  
Ulrike Seeburg ◽  
Fiona Vanobberghen ◽  
...  

Abstract Objectives WHO guidelines on ART define the HIV-1 viral load (VL) threshold for treatment failure at 1000 copies/mL. The Switch Either near Suppression Or THOusand (SESOTHO) trial, conducted in Lesotho from 2017 to 2020, found that patients with persistent viraemia below this threshold (100–999 copies/mL) benefit from switching to second-line ART. This pre-planned nested study assesses the prevalence of resistance-associated mutations (RAMs) in SESOTHO trial participants. Methods The SESOTHO trial [registered at ClinicalTrials.gov (NCT03088241)] enrolled 80 persons taking NNRTI-based first-line ART with low-level HIV-1 viraemia (100–999 copies/mL) and randomized them (1:1) to switch to a PI-based second-line regimen (switch) or continue on first-line therapy (control). We sequenced relevant regions of the viral pol gene using plasma samples obtained at enrolment and 36 weeks. RAMs were classified with the Stanford HIV Drug Resistance Database. Results Sequencing data were obtained for 37/80 (46%) participants at baseline and 26/48 (54%) participants without viral suppression to <50 copies/mL at 36 weeks (21 control participants and 5 switch participants). At baseline, 31/37 (84%) participants harboured high-level resistance to at least two drugs of their current regimen. At 36 weeks, 17/21 (81%) control participants harboured resistance to at least two drugs of their current regimen, while no PI-associated resistance was detected in the 5 switch participants with ongoing viraemia. Conclusions Among persons with low-level viraemia while taking NNRTI-based first-line ART enrolled in the SESOTHO trial, the majority harboured HIV-1 with RAMs that necessitate ART modification. These findings support lowering the VL threshold triggering a switch to second-line ART in future WHO guidelines.

2011 ◽  
Vol 204 (4) ◽  
pp. 515-520 ◽  
Author(s):  
Babafemi Taiwo ◽  
Sebastien Gallien ◽  
Evgenia Aga ◽  
Heather Ribaudo ◽  
Richard Haubrich ◽  
...  

AIDS ◽  
2018 ◽  
Vol 32 (17) ◽  
pp. 2485-2496 ◽  
Author(s):  
Rami Kantor ◽  
Allison DeLong ◽  
Leeann Schreier ◽  
Marissa Reitsma ◽  
Emanuel Kemboi ◽  
...  

2018 ◽  
Vol 73 (8) ◽  
pp. 2152-2161
Author(s):  
Shanmugam Saravanan ◽  
Selvamurthi Gomathi ◽  
Allison Delong ◽  
Bagavathi Kausalya ◽  
Sathasivam Sivamalar ◽  
...  

AbstractObjectivesExamine HIV-1 plasma viral load (PVL) and genital tract (GT) viral load (GVL) and drug resistance in India.MethodsAt the YRG Centre for AIDS Research and Education, Chennai, we tested: PVL in women on first-line ART for ≥6 months; GVL when PVL >2000 copies/mL; and plasma, genital and proviral reverse transcriptase drug resistance when GVL >2000 copies/mL. Wilcoxon rank-sum and Fisher's exact tests were used to identify failure and resistance associations. Pearson correlations were calculated to evaluate PVL–GVL associations. Inter-compartmental resistance discordance was evaluated using generalized estimating equations.ResultsOf 200 women, 37% had detectable (>400 copies/mL) PVL and 31% had PVL >1000 copies/mL. Of women with detectable PVL, 74% had PVL >2000 copies/mL, of which 74% had detectable GVL. Higher PVL was associated with higher GVL. Paired plasma and genital sequences were available for 21 women; mean age of 34 years, median ART duration of 33 months, median CD4 count of 217 cells/mm3, median PVL of 5.4 log10 copies/mL and median GVL of 4.6 log10 copies/mL. Drug resistance was detected in 81%–91% of samples and 67%–76% of samples had dual-class resistance. Complete three-compartment concordance was seen in only 10% of women. GT–proviral discordance was significantly larger than plasma–proviral discordance. GT or proviral mutations discordant from plasma led to clinically relevant resistance in 24% and 30%, respectively.ConclusionsWe identified high resistance and high inter-compartmental resistance discordance in Indian women, which might lead to unrecognized resistance transmission and re-emergence compromising treatment outcomes, particularly relevant to countries like India, where sexual HIV transmission is predominant.


PLoS Medicine ◽  
2020 ◽  
Vol 17 (9) ◽  
pp. e1003325
Author(s):  
Alain Amstutz ◽  
Bienvenu Lengo Nsakala ◽  
Fiona Vanobberghen ◽  
Josephine Muhairwe ◽  
Tracy Renée Glass ◽  
...  

2018 ◽  
Author(s):  
Michael L. Chen ◽  
Akshith Doddi ◽  
Jimmy Royer ◽  
Luca Freschi ◽  
Marco Schito ◽  
...  

AbstractBackgroundThe diagnosis of multidrug resistant and extensively drug resistant tuberculosis is a global health priority. Whole genome sequencing of clinicalMycobacteriumtuberculosis isolates promises to circumvent the long wait times and limited scope of conventional phenotypic antimicrobial susceptibility, but gaps remain for predicting phenotype accurately from genotypic data.Methods and FindingsUsing targeted or whole genome sequencing and conventional drug resistance phenotyping data from 3,601Mycobacterium tuberculosisstrains, 1,228 of which were multidrug resistant, we investigated the use of machine learning to predict phenotypic drug resistance to 10 anti-tuberculosis drugs. The final model, a multitask wide and deep neural network (MD-WDNN), achieved improved high predictive performance: the average AUCs were 0.979 for first-line drugs and 0.936 for second-line drugs during repeated cross-validation. On an independent validation set, the MD-WDNN showed average AUCs, sensitivities, and specificities, respectively, of 0.937, 87.9%, and 92.7% for first-line drugs and 0.891, 82.0% and 90.1% for second-line drugs. In addition to being able to learn from samples that have only been partially phenotyped, our proposed multidrug architecture shares information across different anti-tuberculosis drugs and genes to provide a more accurate phenotypic prediction. We uset-distributed Stochastic Neighbor Embedding (t-SNE) visualization and feature importance analyses to examine inter-drug similarities.ConclusionsMachine learning is capable of accurately predicting resistant status using genomic information and holds promise in bringing sequencing technologies closer to the bedside.


2020 ◽  
Vol 75 (7) ◽  
pp. 1925-1931 ◽  
Author(s):  
Yun Lan ◽  
Ruolei Xin ◽  
Weiping Cai ◽  
Xizi Deng ◽  
Linghua Li ◽  
...  

Abstract Background HIV-1 acquired drug resistance (ADR) has become a critical clinical and public health issue. Recently, HIV-1 CRF55_01B has been found more frequently in the MSM population. Objective To investigate the characteristics of HIV-1 drug resistance mutations (DRMs) and the extent of changes in drug susceptibility among ART-experienced CRF55_01B-infected adults of Guangdong. Methods ADR was tested for immediately in CRF55_01B-infected patients with virological failure. Demographic and epidemiological information was collected. DRMs and antiretroviral susceptibility were interpreted using the Stanford University HIV Drug Resistance Database HIVdb program. Results Overall, 162 (4.78%) CRF55_01B isolates were identified from 2013 to 2018. Among DRMs, M184V (43.83%) was the most frequent NRTI DRM, followed by K65R (23.46%), and V179E (98.77%) was the most frequent NNRTI DRM, followed by K103N (47.53%) and Y181C (14.81%). According to the HIVdb program, 79.01% of the CRF55_01B-infected patients carried mutations conferring low-level or higher drug resistance to any of the three classes of ART drugs. Among PI DRMs, only one mutation affording low-level resistance to nelfinavir was found (0.62%). Among NRTI DRMs, a high proportion of high-level resistance to lamivudine (58.64%) and emtricitabine (58.02%) was found. As regards NNRTIs, more than 75% of patients carried efavirenz and nevirapine DRMs. The percentages of high-level resistance were 70.99%, 63.58%, 22.22%, 17.90% and 4.32% for nevirapine, efavirenz, rilpivirine, doravirine and etravirine, respectively. Conclusions High frequencies of DRMs and resistance were observed among CRF55_01B-infected patients failing ART in Guangdong, and interventions may be considered to minimize ecological contributions to ART.


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