Frequency of Transmitted Drug Resistance Mutations Among Treatment-Naïve HIV-1-Infected Individuals at a Tertiary Care Centre in South India

2015 ◽  
Vol 19 (5) ◽  
pp. 273-275 ◽  
Author(s):  
Rajesh Kannangai ◽  
Shoba David ◽  
Vijayanand C. Sundaresan ◽  
Jaiprasath Sachithanandham ◽  
Monika Mani ◽  
...  
2009 ◽  
Vol 20 (8) ◽  
pp. 522-526 ◽  
Author(s):  
A J Kandathil ◽  
R Kannangai ◽  
O C Abraham ◽  
P Rupali ◽  
S A Pulimood ◽  
...  

Antiretroviral treatment (ART) use in India requires information on baseline drug resistance mutations and polymorphisms in the protease (Pr) and reverse transcriptase (RT) genes of HIV-1 strains from treatment-naïve individuals. We report resistance predictor mutations and polymorphisms in the Pr and the RT sequence of non-clade B HIV-1 strains from ART naïve individuals. The genotypic resistance assay was done on 93 treatment-naïve individuals. The sequences were analysed by Stanford HIV drug resistance data for genotypic drug resistance analysis and REGA HIV-1 subtyping tool. Phylogenetic tree was generated with MEGA 4 for quality control. Ninety-two strains belonged to clade C and one to clade A (A1). Amino acid substitutions were seen at positions associated with drug resistance in Pr gene – 10, 24, 74 (each 3%) and position 82 (11%). Substitutions were seen at positions 41 (1%), 100 (1%), 101 (6%), 103 (2%), 179 (6%) and 181 (1%) of the RT sequence known to confer drug resistance in clade B. Polymorphisms in HIV-1 pol gene among treatment-naïve individuals were similar when compared with previous data. One strain each had Y181C substitution, T74S and E35G substitutions in the Pr and one had A98G, K101R and L210FL substitutions in RT.


2021 ◽  
Vol 19 ◽  
Author(s):  
Rabia Can Sarinoglu ◽  
Uluhan Sili ◽  
Ufuk Hasdemir ◽  
Burak Aksu ◽  
Guner Soyletir ◽  
...  

Background: The World Health Organization (WHO) recommends the surveillance of transmitted drug resistance mutations (TDRMs) to ensure the effectiveness and sustainability of HIV treatment programs. Objective: Our aim was to determine the TDRMs and evaluate the distribution of HIV-1 subtypes using and compared next-generation sequencing (NGS) and Sanger-based sequencing (SBS) in a cohort of 44 antiretroviral treatment-naïve patients. Methods: All samples that were referred to the microbiology laboratory for HIV drug resistance analysis between December 2016 and February 2018 were included in the study. After exclusions, 44 treatment-naive adult patients with a viral load of >1000 copies/mL were analyzed. DNA sequencing for reverse transcriptase and protease regions was performed using both DeepChek ABL single round kit and Sanger-based ViroSeq HIV-1 Genotyping System. The mutations and HIV-1 subtypes were analyzed using the Stanford HIVdb version 8.6.1 Genotypic Resistance software, and TDRMs were assessed using the WHO surveillance drug-resistance mutation database. HIV-1 subtypes were confirmed by constructing a maximum-likelihood phylogenetic tree using Los Alamos IQ-Tree software. Results: NGS identified nucleos(t)ide reverse transcriptase inhibitor (NRTI)-TDRMs in 9.1% of the patients, non-nucleos(t)ide reverse transcriptase inhibitor (NNRTI)-TDRMs in 6.8% of the patients, and protease inhibitor (PI)-TDRMs in 18.2% of the patients at a detection threshold of ≥1%. Using SBS, 2.3% and 6.8% of the patients were found to have NRTI- and NNRTI-TDRMs, respectively, but no major PI mutations were detected. M41L, L74I, K65R, M184V, and M184I related to NRTI, K103N to NNRTI, and N83D, M46I, I84V, V82A, L24I, L90M, I54V to the PI sites were identified using NGS. Most mutations were found in low-abundance (frequency range: 1.0% - 4.7%) HIV-1 variants, except M41L and K103N. The subtypes of the isolates were found as follows; 61.4% subtype B, 18.2% subtype B/CRF02_AG recombinant, 13.6% subtype A, 4.5% CRF43_02G, and 2.3% CRF02_AG. All TDRMs, except K65R, were detected in HIV-1 subtype B isolates.. Conclusion: The high diversity of protease site TDRMs in the minority HIV-1 variants and prevalence of CRFs were remarkable in this study. All minority HIV-1 variants were missed by conventional sequencing. TDRM prevalence among minority variants appears to be decreasing over time at our center.


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.


2015 ◽  
Vol 12 (1) ◽  
Author(s):  
Tomohiro Kotaki ◽  
Siti Qamariyah Khairunisa ◽  
Adiana Mutamsari Witaningrum ◽  
Muhammad Qushai Yunifiar M ◽  
Septhia Dwi Sukartiningrum ◽  
...  

2011 ◽  
Vol 15 (11) ◽  
pp. e764-e768 ◽  
Author(s):  
Moises A. Huaman ◽  
Javier Aguilar ◽  
Dwayne Baxa ◽  
Alicia Golembieski ◽  
Indira Brar ◽  
...  

2020 ◽  
Author(s):  
Billal Musah Obeng ◽  
Evelyn Yayra Bonney ◽  
Lucy Asamoah-Akuoko ◽  
Nicholas Israel Nii-Trebi ◽  
Gifty Mawuli ◽  
...  

Abstract Background: Detection of HIV-1 transmitted drug resistance (TDR) and subtype diversity (SD) are public health strategies to assess current HIV-1 regimen and ensure effective therapeutic outcomes of ART among HIV-1 patients. Globally, limited data exist on TDR and SD among blood donors. In this study, drug resistance mutations and subtype diversity among HIV-1 sero-positive blood donors in Accra, Ghana was characterized.Methods: Purposive sampling method was used to collect 81 HIV sero-positive blood samples from the Southern Area Blood Center and confirmed by serology as HIV-1 and/or HIV-2. Viral RNA was only extracted from plasma samples confirmed as HIV-1 positive. Complementary DNA (cDNA) was synthesized using the RNA as a template and subsequently amplified by nested PCR with specific primers. The expected products were verified, purified and sequenced. Neighbor-joining tree with the Kimura’s 2-parameter distances was generated with the RT sequences using Molecular Evolutionary Genetic Analysis version 6.0 (MEGA 6.0).Results: Out of the 81 plasma samples, 60 (74%) were confirmed as HIV-1 sero-positive by INNO-LIA HIVI/II Score kit with no HIV-2 and dual HIV-1/2 infections. The remaining samples, 21 (26%) were confirmed as HIV sero-negative. Of the 60 confirmed positive samples, (32) 53% and (28) 50% were successfully amplified in the RT and PR genes respectively. Nucleotide sequencing of amplified samples revealed the presence of major drug resistance mutations in two (2) samples; E138A in one sample and another with K65R. HIV-1 Subtypes including subtypes A, B, CRF02_AG and CRF09_cpx were found. Conclusion: This study found major drug resistance mutations, E138A and K65R in the RT gene that confer high level resistance to most NNRTIs and NRTI respectively. CRF02_AG was most predominant, the recorded percentage of subtype B and the evolutionary relationship inferred by phylogenetic analysis suggest possible subtype importation. The data obtained would inform the selection of drugs for ART initiation to maximize therapeutic options in drug-naïve HIV-1 patients in Ghana.


2020 ◽  
Vol 17 (1) ◽  
Author(s):  
Billal Musah Obeng ◽  
Evelyn Yayra Bonney ◽  
Lucy Asamoah-Akuoko ◽  
Nicholas Israel Nii-Trebi ◽  
Gifty Mawuli ◽  
...  

2019 ◽  
Vol 17 (5) ◽  
pp. 335-342
Author(s):  
Tennison Onoriode Digban ◽  
Benson Chucks Iweriebor ◽  
Larry Chikwelu Obi ◽  
Uchechuwku Nwodo ◽  
Anthony Ifeanyi Okoh

Background: Transmitted drug resistance (TDR) remains a significant threat to Human immunodeficiency virus (HIV) infected patients that are not exposed to antiretroviral treatment. Although, combined antiretroviral therapy (cART) has reduced deaths among infected individuals, emergence of drug resistance is gradually on rise. Objective: To determine the drug resistance mutations and subtypes of HIV-1 among pre-treatment patients in the Eastern Cape of South Africa. Methods: Viral RNA was extracted from blood samples of 70 pre-treatment HIV-1 patients while partial pol gene fragment amplification was achieved with specific primers by RT-PCR followed by nested PCR and positive amplicons were sequenced utilizing ABI Prism 316 genetic sequencer. Drug resistance mutations (DRMs) analysis was performed by submitting the generated sequences to Stanford HIV drug resistance database. Results: Viral DNA was successful for 66 (94.3%) samples of which 52 edited sequences were obtained from the protease and 44 reverse transcriptase sequences were also fully edited. Four major protease inhibitor (PI) related mutations (I54V, V82A/L, L76V and L90M) were observed in seven patients while several other minor and accessory PIs were also identified. A total of 11(25.0%) patients had NRTIs related mutations while NNRTIs were observed among 14(31.8%) patients. K103N/S, V106M and M184V were the most common mutations identified among the viral sequences. Phylogenetic analysis of the partial pol gene indicated all sequences clustered with subtype C. Conclusions: This study indicates that HIV-1 subtype C still predominates and responsible for driving the epidemic in the Eastern Cape of South Africa with slow rise in the occurrence of transmitted drug resistance.


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