scholarly journals More efficacious drugs lead to harder selective sweeps in the evolution of drug resistance in HIV-1

2015 ◽  
Author(s):  
Alison F Feder ◽  
Soo-Yon Rhee ◽  
Robert W Shafer ◽  
Dmitri A Petrov ◽  
Pleuni S Pennings
Keyword(s):  
Drug Resistance ◽  
Hiv Treatment ◽  
Adaptive Mutation ◽  
Selective Sweeps ◽  
Consensus Sequences ◽  
Adaptive Mutations ◽  
Slow Evolution ◽  
Soft Selective Sweeps ◽  
Hiv 1 ◽  
Evolution Proceeds

In the early days of HIV treatment, drug resistance occurred rapidly and predictably in all patients, but under modern treatments, resistance arises slowly, if at all. The probability of resistance should be controlled by the rate of generation of resistant mutations. If many adaptive mutations arise simultaneously, then adaptation proceeds by soft selective sweeps in which multiple adaptive mutations spread concomitantly, but if adaptive mutations occur rarely in the population, then a single adaptive mutation should spread alone in a hard selective sweep. Here we use 6,717 HIV-1 consensus sequences from patients treated with first-line therapies between 1989 and 2013 to confirm that the transition from fast to slow evolution of drug resistance was indeed accompanied with the expected transition from soft to hard selective sweeps. This suggests more generally that evolution proceeds via hard sweeps if resistance is unlikely and via soft sweeps if it is likely.

scholarly journals More effective drugs lead to harder selective sweeps in the evolution of drug resistance in HIV-1

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Alison F Feder ◽  
Soo-Yon Rhee ◽  
Susan P Holmes ◽  
Robert W Shafer ◽  
Dmitri A Petrov ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Hiv Treatment ◽  
Adaptive Mutation ◽  
Selective Sweeps ◽  
Resistance Mutations ◽  
Consensus Sequences ◽  
Adaptive Mutations ◽  
Slow Evolution ◽  
Effective Drugs ◽  
Hiv 1

In the early days of HIV treatment, drug resistance occurred rapidly and predictably in all patients, but under modern treatments, resistance arises slowly, if at all. The probability of resistance should be controlled by the rate of generation of resistance mutations. If many adaptive mutations arise simultaneously, then adaptation proceeds by soft selective sweeps in which multiple adaptive mutations spread concomitantly, but if adaptive mutations occur rarely in the population, then a single adaptive mutation should spread alone in a hard selective sweep. Here, we use 6717 HIV-1 consensus sequences from patients treated with first-line therapies between 1989 and 2013 to confirm that the transition from fast to slow evolution of drug resistance was indeed accompanied with the expected transition from soft to hard selective sweeps. This suggests more generally that evolution proceeds via hard sweeps if resistance is unlikely and via soft sweeps if it is likely.

scholarly journals Soft selective sweeps in evolutionary rescue

2016 ◽  
Author(s):  
Benjamin A. Wilson ◽  
Pleuni S. Pennings ◽  
Dmitri A. Petrov
Keyword(s):  
Drug Resistance ◽  
Population Genetics ◽  
Population Genetic ◽  
Genetic Adaptation ◽  
Selective Sweeps ◽  
Adaptive Mutations ◽  
Evolutionary Rescue ◽  
Large Populations ◽  
Genetic Signatures ◽  
Soft Selective Sweeps

AbstractEvolutionary rescue occurs when a population that is declining in size because of an environmental change is rescued by genetic adaptation. Evolutionary rescue is an important phenomenon at the intersection of ecology and population genetics. While most population genetic models of evolutionary rescue focus on estimating the probability of rescue, we focus on whether one or more adaptive lineages contribute to evolutionary rescue. We find that when evolutionary rescue is likely, it is often driven by soft selective sweeps where multiple adaptive mutations spread through the population simultaneously. We give full analytic results for the probability of evolutionary rescue and the probability that evolutionary rescue occurs via soft selective sweeps in our model. We expect that these results will find utility in understanding the genetic signatures associated with various evolutionary rescue scenarios in large populations, such as the evolution of drug resistance in viral, bacterial, or eukaryotic pathogens.

scholarly journals Analysis of Low-Frequency Mutations Associated with Drug Resistance to Raltegravir before Antiretroviral Treatment

2010 ◽  
Vol 55 (3) ◽  
pp. 1114-1119 ◽  
Author(s):  
Jia Liu ◽  
Michael D. Miller ◽  
Robert M. Danovich ◽  
Nathan Vandergrift ◽  
Fangping Cai ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Treatment Failure ◽  
Low Frequency ◽  
Hiv Treatment ◽  
Viral Population ◽  
Virologic Suppression ◽  
Resistance Mutations ◽  
The Difference ◽  
Allele Specific Sequencing ◽  
Hiv 1

ABSTRACTRaltegravir is highly efficacious in the treatment of HIV-1 infection. The prevalence and impact on virologic outcome of low-frequency resistant mutations among HIV-1-infected patients not previously treated with raltegravir have not been fully established. Samples from HIV treatment-experienced patients entering a clinical trial of raltegravir treatment were analyzed using a parallel allele-specific sequencing (PASS) assay that assessed six primary and six secondary integrase mutations. Patients who achieved and sustained virologic suppression (success patients,n= 36) and those who experienced virologic rebound (failure patients,n= 35) were compared. Patients who experienced treatment failure had twice as many raltegravir-associated resistance mutations prior to initiating treatment as those who achieved sustained virologic success, but the difference was not statistically significant. The frequency of nearly all detected resistance mutations was less than 1% of viral population, and the frequencies of mutations between the success and failure groups were similar. Expansion of pre-existing mutations (one primary and five secondary) was observed in 16 treatment failure patients in whom minority resistant mutations were detected at baseline, suggesting that they might play a role in the development of drug resistance. Two or more mutations were found in 13 patients (18.3%), but multiple mutations were not present in any single viral genome by linkage analysis. Our study demonstrates that low-frequency primary RAL-resistant mutations were uncommon, while minority secondary RAL-resistant mutations were more frequently detected in patients naïve to raltegravir. Additional studies in larger populations are warranted to fully understand the clinical implications of these mutations.

scholarly journals Characterization of HIV-1 Integrase Gene and Resistance Associated Mutations Prior to Roll out of Integrase Inhibitors by Kenyan National HIV-Treatment Program in Kenya

2020 ◽  
Vol 30 (1) ◽  
Author(s):  
Mabeya Sepha ◽  
Nyamache Anthony ◽  
Ngugi Caroline ◽  
Nyerere Andrew ◽  
Lihana Raphael
Keyword(s):  
Drug Resistance ◽  
Direct Sequencing ◽  
Integrase Inhibitor ◽  
Hiv Treatment ◽  
Strand Transfer ◽  
Hiv Integrase ◽  
Integrase Inhibitors ◽  
Resistance Mutations ◽  
Integrase Gene ◽  
Hiv 1

BACKGROUND: Antiretroviral therapy containing an integrase strand transfer inhibitor plus two Nucleoside Reverse Transcriptase inhibitors has now been recommended for treatment of HIV-1-infected patients. This thus determined possible pre-existing integrase resistance associated mutations in the integrase gene prior to introduction of integrase inhibitors combination therapy in Kenya.METHODS: Drug experienced HIV patients were enrolled at Kisii Teaching and Referral in Kenya. Blood specimens from (33) patients were collected for direct sequencing of HIV-1 polintegrase genes. Drug resistance mutations were interpreted according to the Stanford algorithm and phylogenetically analysed using insilico tools.RESULTS: From pooled 188 Kenyan HIV integrase sequences that were analysed for drug resistance, no major mutations conferring resistance to integrase inhibitors were detected. However, polymorphic accessory mutations associated with reduced susceptibility of integrase inhibitors were observed in low frequency; M50I (12.2%), T97A (3.7%), S153YG, E92G (1.6%), G140S/A/C (1.1%) and E157Q (0.5%). Phylogenetic analysis (330 sequences revealed that HIV-1 subtype A1 accounted for majority of the infections, 26 (78.8%), followed by D, 5 (15.2%) and C, 2 (6%).CONCLUSION: The integrase inhibitors will be effective in Kenya where HIV-1 subtype A1 is still the most predominant. However, occurring polymorphisms may warrant further investigation among drug experienced individuals on dolutegravir combination or integrase inhibitor treatment. 

Prediction of the binding mode and resistance profile for a dual-target pyrrolyl diketo acid scaffold against HIV-1 integrase and reverse-transcriptase-associated ribonuclease H

2018 ◽  
Vol 20 (37) ◽  
pp. 23873-23884 ◽  
Author(s):  
Fengyuan Yang ◽  
Guoxun Zheng ◽  
Tingting Fu ◽  
Xiaofeng Li ◽  
Gao Tu ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Reverse Transcriptase ◽  
Binding Mode ◽  
Hiv Treatment ◽  
Rnase H ◽  
Ribonuclease H ◽  
Resistance Profile ◽  
Anti Hiv ◽  
Hiv 1 ◽  
Dual Target

The recently developed pyrrolyl diketo acid scaffold targeting both HIV-1 IN and RNase H is beneficial to counteract the failure of anti-HIV treatment due to drug resistance.

scholarly journals Multi-Laboratory Comparison of Next-Generation to Sanger-Based Sequencing for HIV-1 Drug Resistance Genotyping

Viruses ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 694 ◽  
Author(s):  
Neil T. Parkin ◽  
Santiago Avila-Rios ◽  
David F. Bibby ◽  
Chanson J. Brumme ◽  
Susan H. Eshleman ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Illumina Miseq ◽  
Next Generation ◽  
Sequence Comparisons ◽  
Consensus Sequences ◽  
Drug Resistance Genotyping ◽  
Next Generation Sequencing Ngs ◽  
Sequence Quality ◽  
Average Sequence Identity ◽  
Hiv 1

Next-generation sequencing (NGS) is increasingly used for HIV-1 drug resistance genotyping. NGS methods have the potential for a more sensitive detection of low-abundance variants (LAV) compared to standard Sanger sequencing (SS) methods. A standardized threshold for reporting LAV that generates data comparable to those derived from SS is needed to allow for the comparability of data from laboratories using NGS and SS. Ten HIV-1 specimens were tested in ten laboratories using Illumina MiSeq-based methods. The consensus sequences for each specimen using LAV thresholds of 5%, 10%, 15%, and 20% were compared to each other and to the consensus of the SS sequences (protease 4–99; reverse transcriptase 38–247). The concordance among laboratories’ sequences at different thresholds was evaluated by pairwise sequence comparisons. NGS sequences generated using the 20% threshold were the most similar to the SS consensus (average 99.6% identity, range 96.1–100%), compared to 15% (99.4%, 88.5–100%), 10% (99.2%, 87.4–100%), or 5% (98.5%, 86.4–100%). The average sequence identity between laboratories using thresholds of 20%, 15%, 10%, and 5% was 99.1%, 98.7%, 98.3%, and 97.3%, respectively. Using the 20% threshold, we observed an excellent agreement between NGS and SS, but significant differences at lower thresholds. Understanding how variation in NGS methods influences sequence quality is essential for NGS-based HIV-1 drug resistance genotyping.

scholarly journals Prevalence and determinants of virological failure, genetic diversity and drug resistance among people living with HIV in a minority area in China: a population-based study

2020 ◽  
Author(s):  
Dan Yuan ◽  
Meijing Liu ◽  
Peng Jia ◽  
Yiping Li ◽  
Yuling Huang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Drug Resistance ◽  
Virological Failure ◽  
Illicit Drugs ◽  
Clinical Stage ◽  
Venous Blood ◽  
Hiv Treatment ◽  
People Living With Hiv ◽  
Living With Hiv ◽  
Hiv 1

Abstract Background Liangshan Yi Autonomous Prefecture is one of the areas that most severely affected by human immunodeficiency virus (HIV) in China, and virological failure on antiretroviral therapy (ART) is serious in this area. Analyses of prevalence and determinants of ART failure, the genetic diversity and drug resistance among people living with HIV (PLWH) helps improve HIV treatment efficiency and prevent HIV transmission. Methods A total of 5157 PLWH were recruited from 2016 to 2017. The venous blood samples were subjected to RT-PCR, followed by sequencing of the HIV-1 pol gene, targeting the protease and reverse transcriptase fragments. HIV-1 diversity was analyzed using the DNAStar software and drug resistance mutations were analyzed using the Stanford University HIV Drug Resistance Database. Results A total of 2156 (41.81%) PLWH showed virological failure on ART. Males (ORm=1.25), heterosexual behaviors and drug injection (ORm=1.44) and mother to child transmission routes (ORm=1.58), the clinical stage of AIDS (ORm=1.35), having used illicit drugs and shared the needles (1-4 times: ORm=1.34; more than 5 times: ORm=1.52), having ever replaced ART regimen (ORm=1.48) increased the risk of virological failure among PLWH, while higher education lever (ORm=0.77) and ≥12 months on ART (12~36 months: ORm=0.72; ≥36 months: ORm=0.66) was associated with lower likelihood of virological failure. The data revealed that CRF07_BC (1508, 95.62%) were the most common strains, and the drug-resistant rate was 32.10% among PLWH with virological failure in this area. The high frequencies of drug resistance were found in EFV and NVP of NNRTIs, ABC, FTC and 3TC of NRTIs, and TPV/r in PIs. The most common mutations in NNRTIs, NRTIs and PIs were K103N/KN (64.69%), M184V/MV/I (36.29%) and Q58E/QE (4.93%), respectively. Conclusion We concluded that surveillance of virological failure, HIV-1 subtypes, and drug resistance to understand HIV-1 epidemiology and guide modification of ART guidelines, and target prevention and control strategies should be formatted to reduce the virological failure and drug resistance to promote viral suppression and prevent HIV-1 transmission.

scholarly journals Author response: More effective drugs lead to harder selective sweeps in the evolution of drug resistance in HIV-1

2015 ◽  
Author(s):  
Alison F Feder ◽  
Soo-Yon Rhee ◽  
Susan P Holmes ◽  
Robert W Shafer ◽  
Dmitri A Petrov ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Author Response ◽  
Selective Sweeps ◽  
Effective Drugs ◽  
Hiv 1

scholarly journals Simian-Tropic HIV as a Model To Study Drug Resistance against Integrase Inhibitors

2015 ◽  
Vol 59 (4) ◽  
pp. 1942-1949 ◽  
Author(s):  
Melissa Wares ◽  
Said Hassounah ◽  
Thibault Mesplède ◽  
Paul A. Sandstrom ◽  
Mark A. Wainberg
Keyword(s):  
Drug Resistance ◽  
Nonhuman Primate ◽  
Hiv Treatment ◽  
Replication Capacity ◽  
Primate Model ◽  
Primary Resistance ◽  
Immunodeficiency Virus ◽  
The Impact ◽  
Hiv 1

ABSTRACTDrug resistance represents a key aspect of human immunodeficiency virus (HIV) treatment failure. It is important to develop nonhuman primate models for studying issues of drug resistance and the persistence and transmission of drug-resistant viruses. However, relatively little work has been conducted using either simian immunodeficiency virus (SIV) or SIV/HIV recombinant viruses for studying resistance against integrase strand transfer inhibitors (INSTIs). Here, we used a T-cell-tropic SIV/HIV recombinant virus in which the capsid andvifregions of HIV-1 were replaced with their SIV counterparts (simian-tropic HIV-1 [stHIV-1](SCA,SVIF)) to study the impact of a number of drug resistance substitutions in the integrase coding region at positions E92Q, G118R, E138K, Y143R, S153Y, N155H, and R263K on drug resistance, viral infectivity, and viral replication capacity. Our results show that each of these substitutions exerted effects that were similar to their effects in HIV-1. Substitutions associated with primary resistance against dolutegravir were more detrimental to stHIV-1(SCA,SVIF)infectiousness than were resistance substitutions associated with raltegravir and elvitegravir, consistent with data that have been reported for HIV-1. These findings support the role of stHIV-1(SCA,SVIF)as a useful model with which to evaluate the role of INSTI resistance substitutions on viral persistence, transmissibility, and pathogenesis in a nonhuman primate model.

scholarly journals Prevalence and determinants of virological failure, genetic diversity and drug resistance among people living with HIV in a minority area in China: a population-based study

2020 ◽  
Author(s):  
Dan Yuan ◽  
Meijing Liu ◽  
Peng Jia ◽  
Yiping Li ◽  
Yuling Huang ◽  
...  
Keyword(s):  
Genetic Diversity ◽  
Drug Resistance ◽  
Virological Failure ◽  
Illicit Drugs ◽  
Clinical Stage ◽  
Venous Blood ◽  
Hiv Treatment ◽  
People Living With Hiv ◽  
Living With Hiv ◽  
Hiv 1

Abstract Background: Liangshan Yi Autonomous Prefecture is one of the areas that most severely affected by human immunodeficiency virus (HIV) in China, and virological failure on antiretroviral therapy (ART) is serious in this area. Analyses of prevalence and determinants of ART failure, the genetic diversity and drug resistance among people living with HIV (PLWH) helps improve HIV treatment efficiency and prevent HIV transmission.Methods: A total of 5157 PLWH were recruited from 2016 to 2017. The venous blood samples were subjected to RT-PCR, followed by sequencing of the HIV-1 pol gene, targeting the protease and reverse transcriptase fragments. HIV-1 diversity was analyzed using the DNAStar software and drug resistance mutations were analyzed using the Stanford University HIV Drug Resistance Database.Results: A total of 2156 (41.81%) PLWH showed virological failure on ART. Males (ORm=1.25), heterosexual behaviors and drug injection (ORm=1.44) and mother to child transmission routes (ORm=1.58), the clinical stage of AIDS (ORm=1.35), having used illicit drugs and shared the needles (1-4 times: ORm=1.34; more than 5 times: ORm=1.52), having ever replaced ART regimen (ORm=1.48) increased the risk of virological failure among PLWH, while higher education lever (ORm=0.77) and ≥12 months on ART (12~36 months: ORm=0.72; ≥36 months: ORm=0.66) was associated with lower likelihood of virological failure. The data revealed that CRF07_BC (1508, 95.62%) were the most common strains, and the drug-resistant rate was 32.10% among PLWH with virological failure in this area. The high frequencies of drug resistance were found in EFV and NVP of NNRTIs, ABC, FTC and 3TC of NRTIs, and TPV/r in PIs. The most common mutations in NNRTIs, NRTIs and PIs were K103N/KN (64.69%), M184V/MV/I (36.29%) and Q58E/QE (4.93%), respectively.Conclusion: We concluded that surveillance of virological failure, HIV-1 subtypes, and drug resistance to understand HIV-1 epidemiology and guide modification of ART guidelines, and target prevention and control strategies should be formatted to reduce the virological failure and drug resistance to promote viral suppression and prevent HIV-1 transmission.

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