Browsing by Author "Mikasi, Sello Given"

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    Drug resistance mutations against protease, reverse transcriptase and integrase inhibitors in people living with HIV-1 receiving boosted protease inhibitors in South Africa
    (Frontiers Media, 2020) Obasa, Adetayo Emmanuel; Mikasi, Sello Given; Brado, Dominik; Cloete, Ruben; Singh, Kamlendra; Neogi, Ujjwal; Jacobs, Graeme Brendon
    The South African national combination antiretroviral therapy (cART) roll-out program started in 2006, with over 4.4 million people accessing treatment since it was first introduced. HIV-1 drug resistance can hamper the success of cART. This study determined the patterns of HIV-1 drug-resistance associated mutations (RAMs) in People Living with HIV-1 (PLHIV-1). Receiving first (for children below 3 years of age) and second-line (for adults) cART regimens in South Africa. During 2017 and 2018, 110 patients plasma samples were selected, 96 samples including those of 17 children and infants were successfully analyzed. All patients were receiving a boosted protease inhibitor (bPI) as part of their cART regimen. The viral sequences were analyzed for RAMs through genotypic resistance testing. We performed genotypic resistance testing (GRT) for Protease inhibitors (PIs), Reverse transcriptase inhibitors (RTIs) and Integrase strand transfer inhibitors (InSTIs). Viral sequences were subtyped using REGAv3 and COMET. Based on the PR/RT sequences, HIV-1 subtypes were classified as 95 (99%) HIV-1 subtype C (HIV-1C) while one sample as 02_AG. Integrase sequencing was successful for 89 sequences, and all the sequences were classified as HIV-1C (99%, 88/89) except one sequence classified CRF02_AG, as observed in PR/RT. Of the 96 PR/RT sequences analyzed, M184V/I (52/96; 54%) had the most frequent RAM nucleoside reverse transcriptase inhibitor (NRTI). The most frequent non-nucleoside reverse transcriptase inhibitor (NNRTI) RAM was K103N/S (40/96, 42%). Protease inhibitor (PI) RAMs M46I and V82A were present in 12 (13%) of the sequences analyzed. Among the InSTI major RAM two (2.2%) sequences have Y143R and T97A mutations while one sample had T66I. The accessory RAM E157Q was identified in two (2.2%). The data indicates that the majority of the patients failed on bPIs didn’t have any mutation; therefore adherence could be major issue in these groups of individuals. We propose continued viral load monitoring for better management of infected PLHIV.
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    Drug resistance mutations against protease, reverse transcriptase and integrase inhibitors in people living with HIV-1 receiving boosted protease inhibitors in South Africa
    (Frontiers Media, 2020-03) Obasa, Adetayo Emmanuel; Mikasi, Sello Given; Brado, Dominik; Cloete, Ruben; Singh, Kamlendra; Neogi, Ujjwal; Jacobs, Graeme Brendon; Pathology: Medical Virology
    The South African national combination antiretroviral therapy (cART) roll-out program started in 2006, with over 4.4 million people accessing treatment since it was first introduced. HIV-1 drug resistance can hamper the success of cART. This study determined the patterns of HIV-1 drug-resistance associated mutations (RAMs) in People Living with HIV-1 (PLHIV-1). Receiving first (for children below 3 years of age) and second-line (for adults) cART regimens in South Africa. During 2017 and 2018, 110 patients plasma samples were selected, 96 samples including those of 17 children and infants were successfully analyzed. All patients were receiving a boosted protease inhibitor (bPI) as part of their cART regimen. The viral sequences were analyzed for RAMs through genotypic resistance testing. We performed genotypic resistance testing (GRT) for Protease inhibitors (PIs), Reverse transcriptase inhibitors (RTIs) and Integrase strand transfer inhibitors (InSTIs). Viral sequences were subtyped using REGAv3 and COMET. Based on the PR/RT sequences, HIV-1 subtypes were classified as 95 (99%) HIV-1 subtype C (HIV-1C) while one sample as 02_AG. Integrase sequencing was successful for 89 sequences, and all the sequences were classified as HIV-1C (99%, 88/89) except one sequence classified CRF02_AG, as observed in PR/RT. Of the 96 PR/RT sequences analyzed, M184V/I (52/96; 54%) had the most frequent RAM nucleoside reverse transcriptase inhibitor (NRTI). The most frequent non-nucleoside reverse transcriptase inhibitor (NNRTI) RAM was K103N/S (40/96, 42%). Protease inhibitor (PI) RAMs M46I and V82A were present in 12 (13%) of the sequences analyzed. Among the InSTI major RAM two (2.2%) sequences have Y143R and T97A mutations while one sample had T66I. The accessory RAM E157Q was identified in two (2.2%). The data indicates that the majority of the patients failed on bPIs didn’t have any mutation; therefore adherence could be major issue in these groups of individuals. We propose continued viral load monitoring for better management of infected PLHIV.
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    Investigating the structural impact of hiv-1 integrase natural occurring polymorphisms and novel mutations identified among group m subtypes circulating in sub-Saharan Africa
    (Stellenbosch : Stellenbosch University, 2020-12) Mikasi, Sello Given; Jacobs, Graeme Brendon; Cloete, Ruben; Van Zyl, Gert Uves; Engelbrecht, Susan; Ikomey, George Mondinde; Kasang, Christa; Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Pathology: Medical Virology.
    Introduction HIV/AIDS remains a major health concern worldwide, with sub-Saharan Africa (SSA) carrying the largest burden.HIV is characterised by extremely high genetic diversity, with all the major groups and subtypes circulating in SSA. Combination antiretroviral therapy (cART) have substantially reduced HIV related deaths, but this is counteracted by the development of HIVdrug resistance, caused by certain drug resistance-associated mutations (RAMS). Integrase (IN) strand transferase inhibitors (INSTIs), the newest class of antiretroviral drugs,has a high genetic barrier and can be used in individuals that previously exhibited resistance to other classes of drugs. The World Health Organisation (WHO) approved the use of Dolutegravir (DTG) as part of first-line cART. Methods This is a descriptive experimental design study, which aimed to identify IN natural occurring polymorphisms (NOP) among different HIV-1 group M subtypes and Drug resistance mutations within the HIV-1 pol gene fragment of INSTI naïve patients from South Africa (SA) and Cameroon (CR), using the Stanford University genotypic resistance interpretation algorithm. Structural computational methods that included; homology modelling, molecular docking, molecular dynamics simulations and interaction analysis was performed to understand the structural impact of mutations from diverse HIV-1 subtypes on DTG drug binding. ResultsWe observed low-level RAMs against INSTIs in SA (2.2%) and CR sequences (5.4%). Through Fisher’sexact test we noted that the two NOPs occurred: VI72I and R269K, with p-values ≤0. 05, were statistically enriched. The impact of having these mutations are yet to be fully understood. Through molecular modelling and stability predictions, we observed a destabilizing effect of the known G140S mutant on the HIV-1C IN protein structure and simulation analysis showed that it affected structural stability and flexibility of the protein structure. Interactions analysis of different drug binding conformations to different HIV-1 IN subtypes reported differences in the number of binding interactions to different HIV-1 IN subtypes, but we did not observe any significant differences in binding affinity for each INSTIs. This implies no significant alteration to the binding site in the wild type IN, which may not prevent INSTIs drug binding. In addition, all accessory mutations that resulted in a change in the number of interactions encompassing residues were found within the stable alpha-helix secondary structure element and not in close proximity to the drug active site.ConclusionThe study data indicate that RAMS against INSTIs remain low both in SA and in CR.Subtype C in SA and CRF02_AG in CR continues to be the driving force ofthe epidemic. We further reported on the impact of various NOPs on drug susceptibility. The analyses suggested that NOPs does not have an impact on IN protein structure and stability,and does not affect drug binding in the WT IN, but the known mutation G140S affect DTG binding. The study support recommendations made by the WHO to use DTG as part of salvage therapy in patients with RAM’s and accessory mutations. Data obtained from thisstudy can help to tailor effective treatment strategies in the African population, where diverse HIV subtypes circulate.
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    Investigation of the HIV diversity in the Cape Winelands, Overberg and West Coast districts of the Western Cape Province of South Africa
    (Stellenbosch : Stellenbosch University, 2017-03) Mikasi, Sello Given; Jacobs, Graeme Brendon; Engelbrecht, Susan; Stellenbosch University. Faculty of Medicine and Health Sciences. Dept. of Pathology. Medical Virology.
    ENGLISH SUMMARY: The Western Cape Province of South Africa has a well-established program that monitors active combination antiretroviral therapy (cART) against HIV-1. The HIV-1 prevalence rate in the Province has increased from 5.0% in 2011 to 18.0% in 2015. South Africa has the highest rate of infections worldwide (19.2%). In this study, we analyzed the Protease (PR), Reverse Transcriptase (RT) and Intergrase (IN) regions of HIV-1 for diversity and resistanceassociated mutations (RAMs) from samples obtained from the Cape Winelands, West Coast and Overberg districts of the Province, where no such study has ever been conducted. Samples were received from our diagnostic laboratory for HIV-1 viral load testing, through the National Health Laboratory Services (NHLS). Two hundred and five (205) patient samples with a viral load of 2000 copies/ml and above were included, based on Gall et al., (2012) who showed that a sensitivity of at least 2000 copies/ml is a limit of amplification for the SuperScsript ® III one-step RT with Platinum Taq DNA Polymerase kit, used in this study. We screened for HIV-1 diversity and RAMs using the pol PR, RT and IN regions with a laboratory-based PCR and sequencing protocol. Sequence-specific subtype analyses were executed with the REGA HIV subtyping tool 3.0, Recombinant Identification Program (RIP) 3.0 and subtype classification using evolutionary algorithms (SCUEAL) software. Sequences were screened for RAMs using the Stanford University HIV Drug Resistance Database (HIVdb) 8.1. We successfully PCR amplified 170 (82.9%) PR and 166 (80.9%) RT fragments. For the IN region, only 176 samples had sufficient plasma and RNA left after genotyping of the PR and RT regions. For IN we successfully amplified 143 (81.3%) of the patient samples. A total of 197 (96.1%) samples could be amplified for at least one of the pol regions. Of these, 62 (53.4%) PR, 103 (62.0%) RT and 93 (86.1%) IN sequences were obtained, respectively. We could successfully sequence 173 (84.4%) of the samples included. HIV-1 subtype C was predominant (n = 144; 93.7%), with 5.3% of other subtypes detected. This includes A1 (n = 2; 1.3%), B (n = 4; 2.6%), D (n = 1; 0.7%) and H (n =1; 0.7%). No major RAMs were detected against PI and IN inhibitors. Minor RAMs were detected in 4 PR (3.7%) and 15 IN (16.1%) sequences analysed. RAMs against RT inhibitors were detected in 63 (61.7%) of the sequences analyzed. This includes 39 NRTI mutations (36.1%) and 71 NNRTI mutations (63.5%) identified. As the national cART program continues to expand, HIV-1 diversity, viral load monitoring and drug resistance screening remains critical for the success of cART outcomes and reducing transmission rates. Our results reflect that subtype C is still the driving force of the epidemic in South Africa. However, we cannot ignore the potential impact of non-C subtypes. Sequence analyses confirm that the majority of patients receiving viral load testing have major RAMs against RT inhibitors used in first line therapy. Better surveillance systems for HIV diversity and drug resistance testing are required to ensure success of cART.
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    Observed HIV drug resistance associated mutations amongst naïve immunocompetent children in Yaounde, Cameroon
    (European HIV/AIDS and Infectious Diseases Academy, 2017) Ikomey, George Mondinde; Assoumou, Marie Claire Okomo; Gichana, Josiah Otwoma; Njenda, Duncan; Mikasi, Sello Given; Mesembe, Martha; Lyonga, Emilia; Jacobs, Graeme Brendon
    Introduction: The emergence of drug resistance mutations (DRMs) has been a major threat for successful lifelong combination antiretroviral therapy (cART), especially for HIV-vertically infected children within the context of the prevention of mother-to-child transmission (PMTCT). This study aimed to evaluate DRMs amongst immune competent treatment-naïve children in Cameroon. Methods: A cross-sectional study was conducted between 2015 and 2016 amongst 55 proxy consented HIV-1 positive children, aged 9 months to 6 years. They were all immune competent, cART naïve and with unknown history of PMTCT. CD4 cell counts and genotypic drug resistance testing were performed using standard methods. Results: Levels of DRMs to protease (PR) inhibitors (PIs), nucleoside reverse transcriptase inhibitors (NRTIs) and non-NRTIs were 27.6%, 3.7% and 40.7%, respectively. Only minor DRMs were observed for PR. The observed mutations for NRTI were K65R, T215I and K219E (33.0% each) and for NNRTI: V106M, Y181C and Y188H (6.0% each). Only minor accessory mutations were found in the integrase (IN) region. Conclusion: Despite widely available cART we still observe naïve HIV children, especially from the rural communities. We observe that a proportion of study participants had HIV-1 drug resistance associated mutations (RAMs). Data generated could help strengthen the current PMTCT programmes within the country. There is a need to upscale approaches for drug resistance testing for children in Cameroon and many other resource-limited settings.
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    Structural comparison of diverse HIV-1 subtypes using molecular modelling and docking analyses of integrase inhibitors
    (MDPI, 2020-08-26) Isaacs, Darren; Mikasi, Sello Given; Obasa, Adetayo Emmanuel; Ikomey, George Mondinde; Shityakov, Sergey; Cloete, Ruben; Jacobs, Graeme Brendon
    ENGLISH ABSTRACT: The process of viral integration into the host genome is an essential step of the HIV-1 life cycle. The viral integrase (IN) enzyme catalyzes integration. IN is an ideal therapeutic enzyme targeted by several drugs; raltegravir (RAL), elvitegravir (EVG), dolutegravir (DTG), and bictegravir (BIC) having been approved by the USA Food and Drug Administration (FDA). Due to high HIV-1 diversity, it is not well understood how specific naturally occurring polymorphisms (NOPs) in IN may affect the structure/function and binding affinity of integrase strand transfer inhibitors (INSTIs). We applied computational methods of molecular modelling and docking to analyze the effect of NOPs on the full-length IN structure and INSTI binding. We identified 13 NOPs within the Cameroonian-derived CRF02_AG IN sequences and further identified 17 NOPs within HIV-1C South African sequences. The NOPs in the IN structures did not show any differences in INSTI binding affinity. However, linear regression analysis revealed a positive correlation between the Ki and EC50 values for DTG and BIC as strong inhibitors of HIV-1 IN subtypes. All INSTIs are clinically effective against diverse HIV-1 strains from INSTI treatment-naïve populations. This study supports the use of second-generation INSTIs such as DTG and BIC as part of first-line combination antiretroviral therapy (cART) regimens, due to a stronger genetic barrier to the emergence of drug resistance.