scholarly journals Characterization of the patterns of drug-resistance mutations in newly diagnosed HIV-1 infected patients naïve to the antiretroviral drugs

2009 ◽  
Vol 9 (1) ◽  
Author(s):  
Claudia Alteri ◽  
◽  
Valentina Svicher ◽  
Caterina Gori ◽  
Roberta D'Arrigo ◽  
...  
2012 ◽  
Vol 84 (5) ◽  
pp. 721-727 ◽  
Author(s):  
Laura Ceccarelli ◽  
Romina Salpini ◽  
Sylvie Moudourou ◽  
Valeria Cento ◽  
Maria M. Santoro ◽  
...  

2016 ◽  
Vol 55 (1) ◽  
pp. 122-133 ◽  
Author(s):  
David Sacks ◽  
Johanna Ledwaba ◽  
Lynn Morris ◽  
Gillian M. Hunt

ABSTRACTHIV rapidly accumulates resistance mutations following exposure to subtherapeutic concentrations of antiretroviral drugs that reduces treatment efficacy. High-resolution melting analysis (HRMA) has been used to successfully identify single nucleotide polymorphisms (SNPs) and to genotype viral and bacterial species. Here, we tested the ability of HRMA incorporating short unlabeled probes to accurately assign drug susceptibilities at the 103, 181, and 184 codons of the HIV-1 reverse transcriptase gene. The analytical sensitivities of the HRMA assays were 5% of mixed species for K103N and Y181C and 20% for M184V. When applied to 153 HIV-1 patient specimens previously genotyped by Sanger population sequencing, HRMA correctly assigned drug sensitivity or resistance profiles to 80% of the samples at codon 103 (K103K/N) (Cohen's kappa coefficient [κ] > 0.6;P< 0.05), 90% at 181 (Y181Y/C) (κ > 0.74,P< 0.05), and 80% at 184 (M184M/V) (κ > 0.62;P< 0.05). The frequency of incorrect genotypes was very low (≤1 to 2%) for each assay, which in most cases was due to the higher sensitivity of the HRMA assay. Specimens for which drug resistance profiles could not be assigned (9 to 20%) often had polymorphisms in probe binding regions. Thus, HRMA is a rapid, inexpensive, and sensitive method for the determination of drug sensitivities caused by major HIV-1 drug resistance mutations and, after further development to minimize the melting effects of nontargeted polymorphisms, may be suitable for surveillance purposes.


2019 ◽  
Vol 93 (3) ◽  
pp. 312-318
Author(s):  
Urara SHIGEMI ◽  
Reiko OKAZAKI ◽  
Hirotaka ODE ◽  
Masakazu MATSUDA ◽  
Mai KUBOTA ◽  
...  

2012 ◽  
Vol 84 (7) ◽  
pp. 1002-1008 ◽  
Author(s):  
Natia Dvali ◽  
Monica M. Parker ◽  
Nikoloz Chkhartishvili ◽  
Lali Sharvadze ◽  
Nino Gochitashvili ◽  
...  

2009 ◽  
Vol 9 (4) ◽  
pp. 646-652 ◽  
Author(s):  
Dagnra Anoumou Yaotsè ◽  
Vidal Nicole ◽  
Niama Fabien Roch ◽  
Prince-David Mireille ◽  
Delaporte Eric ◽  
...  

2021 ◽  
Vol 1 (1) ◽  
pp. 113-123
Author(s):  
Ahmad A. Hachem ◽  
Essa H. Hariri ◽  
Anthony Mansour ◽  
Jacques Mokhbat

Background: Antiretroviral drug resistance remains a significant problem in the clinical management of patients infected with the Human Immunodeficiency Virus type-1. Aim: This study investigates and reports data on the molecular characterization of HIV-1 isolates from patients who are in a state of therapy failure. Methods: This is a retrospective study conducted on 65 patients in therapy failure. Inclusion criteria included patients diagnosed as being in therapy failure between the years 2009 and 2013. We defined ART failure as either a failure to achieve viral suppression or a failure to detect viral loads below 500 copies/mL after virological suppression in at least two plasma samples.  We used the published WHO list for surveillance of transmitted resistance and the Stanford HIV Drug Resistance Database to identify drug resistance mutations. Results: 65% of the participants had at least one drug resistance mutation (DRM). 12% of the population sampled had resistance to only one ART class, 32% presented with resistance to two classes of antiretroviral drugs, and 20% had resistance to all three classes of drugs. The prevalence of nucleoside transcriptase inhibitor (NRTI) mutations was 55%, the most common DRM being M184V. The prevalence of non-nucleoside reverse transcriptase inhibitor (NNRTI) mutations was 58%, with the most common mutation being the K103N mutation. The prevalence of protease inhibitors drug resistance mutations was 23%, with mutations V82A and I47V being present in 10% of the study population. Conclusion: Our study is the first molecular characterization of DRM emergence in HIV-1 strains from patients failing antiretroviral therapy in Lebanon. Continuous monitoring of resistance patterns for HIV in the country is necessary to tackle the emergent drug resistance.


2019 ◽  
Vol 11 (2) ◽  
pp. 75-83 ◽  
Author(s):  
A. A. Kirichenko ◽  
D. E. Kireev ◽  
A. E. Lopatukhin ◽  
A. V. Murzakova ◽  
I. A. Lapovok ◽  
...  

Aim: to analyze the prevalence, structure of drug resistance and drug resistance mutations in the protease and reverse transcriptase genes of HIV-1 among treatment naïve patients.Materials and methods. We analyzed protease and reverse transcriptase sequences from 1560 treatment naïve HIV-infected patients from all Federal Districts of the Russian Federation with the first positive immune blot during 1998–2017. Sequences were analyzed for the presence of drug resistance mutations and predicted drug resistance to antiretroviral drugs using two algorithms — Stanford HIVDR Database (HIVdb) and the 2009 SDRM list (CPR).Results. The prevalence of drug resistance mutations was 11,1%. More often the prevalence of drug resistance was found for non-nucleoside reverse transcriptase inhibitor drugs (rilpivirine, nevirapine, efavirenz). The prevalence of transmitted drug resistance associated with mutations from the SDRM list was 5,3%, which is classified by the WHO as a moderate level. However, it should be noted that since the large-scale use of antiretroviral drugs in the Russian Federation, there has been a trend towards a gradual increase in the level of the transmitted drug resistance, and in 2016 it has already reached 6,1%.Conclusion. The results demonstrate the need for regular surveillance of the prevalence of HIV drug resistance to antiretroviral drugs among treatment naïve patients in the Russian Federation.


2018 ◽  
Vol 34 (7) ◽  
pp. 626-628
Author(s):  
Akarin Hiransuthikul ◽  
Rapeeporn Wongkanya ◽  
Sunee Sirivichayakul ◽  
Deondara Trachunthong ◽  
Thanthip Sungsing ◽  
...  

2014 ◽  
Vol 17 ◽  
pp. 19750 ◽  
Author(s):  
Murat Sayan ◽  
Fatma Sargýn ◽  
Dilara Inan ◽  
Dilek Yýldýz Sevgi ◽  
Aysel Kocagül Celikbas ◽  
...  

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