scholarly journals Machine Learning to Improve the Effectiveness of ANRS in Predicting HIV Drug Resistance

2017 ◽  
Vol 23 (4) ◽  
pp. 271 ◽  
Author(s):  
Yashik Singh
Keyword(s):  
Machine Learning ◽  
Drug Resistance ◽  
Hiv Drug Resistance

Mystery of HIV Drug Resistance: A Machine Learning Perspective

2019 ◽  
pp. 307-323
Author(s):  
Mohanapriya Arumugam ◽  
Nirmaladevi Ponnusamy ◽  
Sajitha Lulu Sudhakaran ◽  
Vino Sundararajan ◽  
Pandjassarame Kangueane
Keyword(s):  
Machine Learning ◽  
Drug Resistance ◽  
Hiv Drug Resistance

Genotypic Methods for HIV Drug Resistance Monitoring: The Opportunities and Challenges Faced by China

2019 ◽  
Vol 17 (4) ◽  
pp. 225-239 ◽  
Author(s):  
Lulu Zuo ◽  
Ke Peng ◽  
Yihong Hu ◽  
Qinggang Xu
Keyword(s):  
Drug Resistance ◽  
Virological Suppression ◽  
Testing Methods ◽  
Hiv Drug Resistance ◽  
Advantages And Disadvantages ◽  
Hiv Epidemic ◽  
Routine Surveillance ◽  
The World ◽  
Global Project ◽  
Hiv 1

AIDS is a globalized infectious disease. In 2014, UNAIDS launched a global project of “90-90-90” to end the HIV epidemic by 2030. The second and third 90 require 90% of HIV-1 infected individuals receiving antiretroviral therapy (ART) and durable virological suppression. However, wide use of ART will greatly increase the emergence and spreading of HIV drug resistance and current HIV drug resistance test (DRT) assays in China are seriously lagging behind, hindering to achieve virological suppression. Therefore, recommending an appropriate HIV DRT method is critical for HIV routine surveillance and prevention in China. In this review, we summarized the current existing HIV drug resistance genotypic testing methods around the world and discussed the advantages and disadvantages of these methods.

HIV Drug Resistance Testing in a Resource Limited Setting with High Viral Diversity: The First Twenty Eight Months Experience

2017 ◽  
Vol 15 (4) ◽  
Author(s):  
Elodie Teclaire Ngo-Malabo ◽  
Paul Alain Ngoupo ◽  
Serge Alain Sadeuh-Mba ◽  
Emmanuel Akongnwi ◽  
Robert Banaï ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Resource Limited Setting ◽  
Resistance Testing ◽  
Viral Diversity ◽  
Hiv Drug Resistance ◽  
Drug Resistance Testing ◽  
Resource Limited ◽  
Limited Setting

scholarly journals HIV Drug Resistance Mutations Detection by Next-Generation Sequencing during Antiretroviral Therapy Interruption in China

Pathogens ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 264
Author(s):  
Miaomiao Li ◽  
Shujia Liang ◽  
Chao Zhou ◽  
Min Chen ◽  
Shu Liang ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Next Generation Sequencing ◽  
Antiretroviral Therapy ◽  
Detection Threshold ◽  
Next Generation ◽  
Resistance Mutations ◽  
Hiv Drug Resistance ◽  
Drug Resistance Mutations ◽  
Therapy Interruption ◽  
Generation Sequencing

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%.

scholarly journals Factors Influencing HIV Drug Resistance among Pregnant Women in Luanda, Angola: Findings from a Cross-Sectional Study

2021 ◽  
Vol 6 (1) ◽  
pp. 29
Author(s):  
Cruz S. Sebastião ◽  
Joana Morais ◽  
Miguel Brito
Keyword(s):  
Drug Resistance ◽  
Pregnant Women ◽  
Rural Areas ◽  
Cross Sectional Study ◽  
Drug Resistant ◽  
Sectional Study ◽  
Cross Sectional ◽  
Hiv Drug Resistance ◽  
Hiv 1 ◽  
High Educational

The increase in HIV infection and drug-resistant strains is an important public health concern, especially in resource-limited settings. However, the identification of factors related to the propagation of infectious diseases represents a crucial target offering an opportunity to reduce health care costs as well as deepening the focus on preventing infection in high-risk groups. In this study, we investigate the factors related to drug resistance among HIV-infected pregnant women in Luanda, the capital city of Angola. This was a part of a cross-sectional study conducted with 42 HIV-positive pregnant women. A blood sample was collected, and HIV-1 genotyping was carried out using an in-house method. Multivariate analyses were performed to determine the interaction between sociodemographic characteristics and drug resistance. HIV drug resistance was detected in 44.1% of the studied population. High probabilities of drug resistance were observed for HIV-infected pregnant women living in rural areas (AOR: 2.73; 95% CI: 0.50–14.9) with high educational level (AOR: 6.27; 95% CI: 0.77–51.2) and comorbidities (AOR: 5.47; 95% CI: 0.28–106) and infected with a HIV-1 non-B subtype other than subtype C (AOR: 1.60; 95% CI: 0.25–10.3). The present study reports high HIV drug resistance. Furthermore, older-age, rural areas, high educational levels, unemployed status, having comorbidities, and HIV-1 subtypes were factors related to drug resistance. These factors impact on drug susceptibility and need to be urgently addressed in order to promote health education campaigns able to prevent the spread of drug-resistant HIV strains in Angola.

scholarly journals Rates and Correlates of Short Term Virologic Response among Treatment-Naïve HIV-Infected Children Initiating Antiretroviral Therapy in Ethiopia: A Multi-Center Prospective Cohort Study

Pathogens ◽  
2019 ◽  
Vol 8 (4) ◽  
pp. 161
Author(s):  
Birkneh Tilahun Tadesse ◽  
Adugna Chala ◽  
Jackson Mukonzo ◽  
Tolosssa Eticha Chaka ◽  
Sintayehu Tadesse ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Viral Load ◽  
Plasma Viral Load ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Virological Suppression ◽  
Virologic Suppression ◽  
Hiv Drug Resistance ◽  
Treatment Naïve ◽  
The Impact

There is limited data on virologic outcome and its correlates among HIV-infected children in resource-limited settings. We investigated rate and correlates of virologic outcome among treatment naïve HIV-infected Ethiopian children initiating cART, and were followed prospectively at baseline, 8, 12, 24 and 48 weeks using plasma viral load, clinical examination, laboratory tests and pretreatment HIV drug resistance (PDR) screening. Virologic outcome was assessed using two endpoints–virological suppression defined as having “undetectable” plasma viral load < 150 RNA copies/mL, and rebound defined as viral load ≥150 copies/mL after achieving suppression. Cox Proportional Hazards Regression was employed to assess correlates of outcome. At the end of follow up, virologic outcome was measured for 110 participants. Overall, 94(85.5%) achieved virological suppression, of which 36(38.3%) experienced virologic rebound. At 48 weeks, 9(8.2%) children developed WHO-defined virological treatment failure. Taking tenofovir-containing regimen (Hazard Ratio (HR) 3.1-[95% confidence interval (95%CI) 1.0–9.6], p = 0.049) and absence of pretreatment HIV drug resistance (HR 11.7-[95%CI 1.3–104.2], p = 0.028) were independently associated with earlier virologic suppression. In conclusion, PDR and cART regimen type correlate with rate of virologic suppression which was prominent during the first year of cART initiation. However, the impact of viral rebound in 38.3% of the children needs evaluation.

scholarly journals Transmitted HIV Drug Resistance Is High and Longstanding in Metropolitan Washington, DC

2016 ◽  
Vol 63 (6) ◽  
pp. 836-843 ◽  
Author(s):  
Seble G. Kassaye ◽  
Zehava Grossman ◽  
Maya Balamane ◽  
Betsy Johnston-White ◽  
Chenglong Liu ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Washington Dc ◽  
Hiv Drug Resistance
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