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1.  Transmitted Antiretroviral Drug Resistance in Newly HIV-Infected and Untreated Patients in Ségou and Bamako, Mali 
Abstract
The WHO recommends regular surveillance for transmitted antiretroviral drug-resistant viruses in HIV antiretroviral treatment (ART)-naive patients in resource-limited settings. This study aimed to assess the prevalence of mutations associated with resistance in ART-naive patients newly diagnosed with HIV in Bamako and Ségou in Mali. HIV-positive patients who never received ART were recruited in Bamako and Ségou, Mali. The reverse transcriptase (RT) and protease (PR) genes of these patients were sequenced by the “ViroSeq” method. Analysis and interpretation of the resistance were made according to the WHO 2009 list of drug resistance mutations. In all, 51/54 (94.4%) sample patients were sequenced. The median age (IQR) of our patients was 24 (22–27) years and the median CD4 count was 380 (340–456) cells/mm3. The predominant subtype was recombinant HIV-1 CRF02_AG (66.7%) followed by CRF06_cpx (12%) and CRF09_cpx (4%). Four patients had mutations associated with resistance, giving an overall prevalence of resistance estimated at 7.9%. There were two (4%) patients with nucleoside reverse transcriptase inhibitor (NRTI) mutations (one M184V and one T215Y), two (4%) with non-NRTI mutations (two K103N), and one (2%) with a protease inhibitor mutation (one I54V). The prevalence of primary resistance in newly infected patients in Mali is moderate (7.9%). This indicates that the standard NNRTI-based first-line regimen used in Mali is suboptimal for some patients. This study should be done regularly to inform clinical practice.
doi:10.1089/aid.2012.0118
PMCID: PMC3537298  PMID: 22823755
2.  Characterization of HIV-1 antiretroviral drug resistance after second-line treatment failure in Mali, a limited-resources setting 
Journal of Antimicrobial Chemotherapy  2012;67(12):2943-2948.
Objectives
We describe the outcomes of second-line drug resistance profiles and predict the efficacy of drugs for third-line therapy in patients monitored without the benefit of plasma HIV-1 RNA viral load (VL) or resistance testing.
Methods
We recruited 106 HIV-1-infected patients after second-line treatment failure in Mali. VL was determined by the Abbott RealTime system and the resistance by the ViroSeq HIV-1 genotyping system. The resistance testing was interpreted using the latest version of the Stanford algorithm.
Results
Among the 106 patients, 93 had isolates successfully sequenced. The median age, VL and CD4 cells were respectively 35 years, 72 000 copies/mL and 146 cells/mm3. Patients were exposed to a median of 4 years of treatment and to six antiretrovirals. We found 20% of wild-type viruses. Resistance to etravirine was noted in 38%, to lopinavir in 25% and to darunavir in 12%. The duration of prior nucleos(t)ide reverse transcriptase inhibitor exposure was associated with resistance to abacavir (P < 0.0001) and tenofovir (P = 0.0001), and duration of prior protease inhibitor treatment with resistance to lopinavir (P < 0.0001) and darunavir (P = 0.06).
Conclusion
Long duration of therapy prior to failure was associated with high levels of resistance and is directly related to limited access to VL monitoring and delayed switches to second-line treatment, precluding efficacy of drugs for third-line therapy. This study underlines the need for governments and public health organizations to recommend the use of VL monitoring and also the availability of darunavir and raltegravir for third-line therapies in the context of limited-resource settings.
doi:10.1093/jac/dks310
PMCID: PMC3584968  PMID: 22888273
resistance; third-line; Africa
3.  Connection Domain Mutations During Antiretroviral Treatment Failure in Mali: Frequencies and Impact on Reverse Transcriptase Inhibitor Activity 
Mutations in the connection domain (CD) of reverse transcriptase (RT) have been implicated in RT inhibitor (RTI) resistance, but this is controversial and little is known in non-B subtype HIV-1. We determined CD mutations prevalence in a population infected predominantly with CRF02_AG and investigated associations with phenotypic RTI resistance. Detected CD mutations were G335D (82.3%), A371V (69.8%), E399D (9.4%), N348I (5.2%), V365I (4.2), Y318F (2.1%), G333E (2.1%) and A360V (2.1%). Mutations were largely polymorphic and did not confer RTI resistance. The observed trend towards reduced likelihood of etravirine or nevirapine resistance in the presence of G335D should be investigated further.
doi:10.1097/QAI.0b013e31826a4b34
PMCID: PMC3489470  PMID: 22828721
Connection Domain; Mali; resistance; treatment-experienced; etravirine; nevirapine
4.  A Polymorphism at Position 400 in the Connection Subdomain of HIV-1 Reverse Transcriptase Affects Sensitivity to NNRTIs and RNaseH Activity 
PLoS ONE  2013;8(10):e74078.
Reverse transcriptase (RT) plays an essential role in HIV-1 replication, and inhibition of this enzyme is a key component of HIV-treatment. However, the use of RT inhibitors can lead to the emergence of drug-resistant variants. Until recently, most clinically relevant resistance mutations were found in the polymerase domain of RT. Lately, an increasing number of resistance mutations has been identified in the connection and RNaseH domain. To further explore the role of these domains we analyzed the complete RT sequence of HIV-1 subtype B patients failing therapy. Position A/T400 in the connection subdomain is polymorphic, but the proportion of T400 increases from 41% in naïve patients to 72% in patients failing therapy. Previous studies suggested a role for threonine in conferring resistance to nucleoside RT inhibitors. Here we report that T400 also mediates resistance to non-nucleoside RT inhibitors. The susceptibility to NVP and EFV was reduced 5-fold and 2-fold, respectively, in the wild-type subtype B NL4.3 background. We show that substitution A400T reduces the RNaseH activity. The changes in enzyme activity are remarkable given the distance to both the polymerase and RNaseH active sites. Molecular dynamics simulations were performed, which provide a novel atomistic mechanism for the reduction in RNaseH activity induced by T400. Substitution A400T was found to change the conformation of the RNaseH primer grip region. Formation of an additional hydrogen bond between residue T400 and E396 may play a role in this structural change. The slower degradation of the viral RNA genome may provide more time for dissociation of the bound NNRTI from the stalled RT-template/primer complex, after which reverse transcription can resume.
doi:10.1371/journal.pone.0074078
PMCID: PMC3788777  PMID: 24098331
5.  Scoring Methods for Building Genotypic Scores: An Application to Didanosine Resistance in a Large Derivation Set 
PLoS ONE  2013;8(3):e59014.
Background
Several attempts have been made to determine HIV-1 resistance from genotype resistance testing. We compare scoring methods for building weighted genotyping scores and commonly used systems to determine whether the virus of a HIV-infected patient is resistant.
Methods and Principal Findings
Three statistical methods (linear discriminant analysis, support vector machine and logistic regression) are used to determine the weight of mutations involved in HIV resistance. We compared these weighted scores with known interpretation systems (ANRS, REGA and Stanford HIV-db) to classify patients as resistant or not. Our methodology is illustrated on the Forum for Collaborative HIV Research didanosine database (N = 1453). The database was divided into four samples according to the country of enrolment (France, USA/Canada, Italy and Spain/UK/Switzerland). The total sample and the four country-based samples allow external validation (one sample is used to estimate a score and the other samples are used to validate it). We used the observed precision to compare the performance of newly derived scores with other interpretation systems. Our results show that newly derived scores performed better than or similar to existing interpretation systems, even with external validation sets. No difference was found between the three methods investigated. Our analysis identified four new mutations associated with didanosine resistance: D123S, Q207K, H208Y and K223Q.
Conclusions
We explored the potential of three statistical methods to construct weighted scores for didanosine resistance. Our proposed scores performed at least as well as already existing interpretation systems and previously unrecognized didanosine-resistance associated mutations were identified. This approach could be used for building scores of genotypic resistance to other antiretroviral drugs.
doi:10.1371/journal.pone.0059014
PMCID: PMC3605419  PMID: 23555613
6.  Description of the L76V Resistance Protease Mutation in HIV-1 B and “Non-B” Subtypes 
PLoS ONE  2013;8(1):e54381.
Objective
To describe the prevalence of the L76V protease inhibitors resistance-associated mutation (PI-RAM) in relation with patients’ characteristics and protease genotypic background in HIV-1 B- and “non-B”-infected patients.
Methods
Frequency of the L76V mutation between 1998 and 2010 was surveyed in the laboratory database of 3 clinical centers. Major PI-RAMs were identified according to the IAS-USA list. Fisher’s and Wilcoxon tests were used to compare variables.
Results
Among the overall 29,643 sequences analyzed, the prevalence of L76V was 1.50%, while was 5.42% in PI-resistant viruses. Since 2008 the prevalence of L76V was higher in “non-B”-infected than in B-infected patients each year. Median time since diagnosis of HIV-1 infection and median time under antiretroviral-based regimen were both shorter in “non-B”- than in B-infected patients (8 vs 11 years, P<0.0001; and 7 vs 8 years, P = 0.004). In addition, “non-B”-infected patients had been pre-exposed to a lower number of PI (2 vs 3, P = 0.016). The L76V was also associated with a lower number of major PI-RAMs in “non-B” vs B samples (3 vs 4, P = 0.0001), and thus it was more frequent found as single major PI-RAM in “non-B” vs B subtype (10% vs 2%, P = 0.014).
Conclusions
We showed an impact of viral subtype on the selection of the L76V major PI-RAM with a higher prevalence in “non-B” subtypes observed since 2008. In addition, in “non-B”-infected patients this mutation appeared more rapidly and was associated with less PI-RAM.
doi:10.1371/journal.pone.0054381
PMCID: PMC3548776  PMID: 23349869
7.  Similar Evolution of Cellular HIV-1 DNA Level in Darunavir/Ritonavir Monotherapy versus Triple Therapy in MONOI –ANRS136 Trial over 96 Weeks 
PLoS ONE  2012;7(7):e41390.
Background
A higher proportion of intermittent viremia (to have a HIV-1 RNA viral load>50 copies/mL not confirmed) was reported in the boosted protease inhibitor monotherapy arm in some studies including MONOI trial, and that could have an impact on the replenishment of the HIV-1 DNA reservoirs. The HIV-1 DNA level is an interesting marker which reflects the size of cellular HIV reservoir. Our objectives were to study the impact of 96 weeks of Darunavir/ritonavir monotherapy versus a triple standard combination on the HIV-1 blood reservoir and factors associated with HIV-1 plasma DNA at baseline in MONOI trial sub-study.
Methodology/Principal Findings
This sub-study is focused on 160 patients (79 patients in monotherapy arm and 81 in tritherapy arm) for whom blood cells were available both at baseline and at week 96 (W96). Baseline HIV-1 plasma DNA was associated with CD4 nadir, pre therapeutic HIV-1 RNA viral load and baseline HIV-1 RNA measured by ultrasensitive assay. A similar median delta HIV-DNA was observed between D0 and W96 in both arms; 0.35 log copies/106 leucocytes in monotherapy arm versus 0.51 log copies/106 leucocytes in tritherapy arm.
Conclusion/Significance
Despite a higher proportion of intermittent viremia in monotherapy arm, a similar evolution of cellular HIV-1 DNA level was observed between mono and triple therapy arm.
Trial Registration
ClinicalTrials. gov NCT00421551
doi:10.1371/journal.pone.0041390
PMCID: PMC3405120  PMID: 22848481
8.  In Silico and In Vitro Comparison of HIV-1 Subtypes B and CRF02_AG Integrases Susceptibility to Integrase Strand Transfer Inhibitors 
Advances in Virology  2012;2012:548657.
Most antiretroviral medical treatments were developed and tested principally on HIV-1 B nonrecombinant strain, which represents less than 10% of the worldwide HIV-1-infected population. HIV-1 circulating recombinant form CRF02_AG is prevalent in West Africa and is becoming more frequent in other countries. Previous studies suggested that the HIV-1 polymorphisms might be associated to variable susceptibility to antiretrovirals. This study is pointed to compare the susceptibility to integrase (IN) inhibitors of HIV-1 subtype CRF02_AG IN respectively to HIV-1 B. Structural models of B and CRF02_AG HIV-1 INs as unbound enzymes and in complex with the DNA substrate were built by homology modeling. IN inhibitors—raltegravir (RAL), elvitegravir (ELV) and L731,988—were docked onto the models, and their binding affinity for both HIV-1 B and CRF02_AG INs was compared. CRF02_AG INs were cloned and expressed from plasma of integrase strand transfer inhibitor (INSTI)-naïve infected patients. Our in silico and in vitro studies showed that the sequence variations between the INs of CRF02_AG and B strains did not lead to any notable difference in the structural features of the enzyme and did not impact the susceptibility to the IN inhibitors. The binding modes and affinities of INSTI inhibitors to B and CRF02_AG INs were found to be similar. Although previous studies suggested that several naturally occurring variations of CRF02_AG IN might alter either IN/vDNA interactions or INSTIs binding, our study demonstrate that these variations do affect neither IN activity nor its susceptibility to INSTIs.
doi:10.1155/2012/548657
PMCID: PMC3398581  PMID: 22829822
9.  Investigation of Super Learner Methodology on HIV-1 Small Sample: Application on Jaguar Trial Data 
AIDS Research and Treatment  2012;2012:478467.
Background. Many statistical models have been tested to predict phenotypic or virological response from genotypic data. A statistical framework called Super Learner has been introduced either to compare different methods/learners (discrete Super Learner) or to combine them in a Super Learner prediction method. Methods. The Jaguar trial is used to apply the Super Learner framework. The Jaguar study is an “add-on” trial comparing the efficacy of adding didanosine to an on-going failing regimen. Our aim was also to investigate the impact on the use of different cross-validation strategies and different loss functions. Four different repartitions between training set and validations set were tested through two loss functions. Six statistical methods were compared. We assess performance by evaluating R2 values and accuracy by calculating the rates of patients being correctly classified. Results. Our results indicated that the more recent Super Learner methodology of building a new predictor based on a weighted combination of different methods/learners provided good performance. A simple linear model provided similar results to those of this new predictor. Slight discrepancy arises between the two loss functions investigated, and slight difference arises also between results based on cross-validated risks and results from full dataset. The Super Learner methodology and linear model provided around 80% of patients correctly classified. The difference between the lower and higher rates is around 10 percent. The number of mutations retained in different learners also varys from one to 41. Conclusions. The more recent Super Learner methodology combining the prediction of many learners provided good performance on our small dataset.
doi:10.1155/2012/478467
PMCID: PMC3324131  PMID: 22550568
10.  Concordance between Two Phenotypic Assays and Ultradeep Pyrosequencing for Determining HIV-1 Tropism▿† 
There have been few studies on the concordance between phenotypic assays for predicting human immunodeficiency virus type 1 (HIV-1) coreceptor usage. The sensitivity of ultradeep pyrosequencing combined with genotyping tools is similar to that of phenotypic assays for detecting minor CXCR4-using variants. We evaluated the agreement between two phenotypic assays, the Toulouse tropism test (TTT) and the Trofile assay, and ultradeep pyrosequencing for determining the tropism of HIV-1 quasispecies. The concordance between the TTT and Trofile assays was assessed for 181 samples successfully phenotyped by both assays. The TTT was 86% concordant with the standard Trofile assay and 91.7% with its enhanced-sensitivity version. The concordance between phenotypic characterization of HIV-1 tropism and ultradeep pyrosequencing genotypic prediction was further studied in selected samples. The HIV-1 tropism inferred from ultradeep pyrosequencing of 11 samples phenotyped as X4 and dualtropic and 12 phenotyped as R5-tropic agreed closely with the results of phenotyping. However, ultradeep pyrosequencing detected minor CXCR4-using variants in 3 of 12 samples phenotyped as R5-tropic. Ultradeep pyrosequencing also detected minor CXCR4-using variants that had been missed by direct sequencing in 6 of 9 samples phenotyped as X4-tropic but genotyped as R5-tropic by direct sequencing. Ultradeep pyrosequencing was 87% concordant with the Trofile and TTT phenotypic assays and was in the same range of sensitivity (0.4%) than these two phenotypic assays (0.3 to 0.5%) for detecting minor CXCR4-using variants. Ultradeep pyrosequencing provides a new way to improve the performance of genotypic prediction of HIV-1 tropism to match that of the phenotypic assays.
doi:10.1128/AAC.00091-11
PMCID: PMC3101380  PMID: 21464245
11.  Positive Impact of HIV-1 gag Cleavage Site Mutations on the Virological Response to Darunavir Boosted with Ritonavir▿  
We assessed the roles of baseline gag and gag-pol cleavage site mutations (CSM) on the virological outcome of a darunavir-based regimen in highly antiretroviral-experienced patients. We showed the association, in multivariate analysis, between the A431V gag CSM and the virological response, defined as a reduction in plasma HIV-1 RNA to <50 copies/ml at month 3 (P = 0.028). Our results suggest that a specific gag CSM might have a role on protease inhibitor susceptibility in an inhibitor-specific manner.
doi:10.1128/AAC.01049-10
PMCID: PMC3067137  PMID: 21282435
12.  Low Frequency of Intermittent HIV-1 Semen Excretion in Patients Treated with Darunavir-Ritonavir at 600/100 Milligrams Twice a Day plus Two Nucleoside Reverse Transcriptase Inhibitors or Monotherapy▿  
Antimicrobial Agents and Chemotherapy  2010;54(11):4910-4913.
HIV-1 RNA level and darunavir concentration in the genital tract were measured in 45 men receiving darunavir-ritonavir mono- or tritherapy. At week 48, a low frequency (3/45) of HIV-1 RNA shedding was observed in patients (1 on monotherapy and 2 on triple therapy), although they had undetectable HIV-1 RNA in plasma. The median darunavir seminal plasma concentration was close to the blood plasma free fraction, demonstrating a good penetration of darunavir into the male genital tract.
doi:10.1128/AAC.00725-10
PMCID: PMC2976146  PMID: 20713677
13.  International Cohort Analysis of the Antiviral Activities of Zidovudine and Tenofovir in the Presence of the K65R Mutation in Reverse Transcriptase▿  
A K65R mutation in HIV-1 reverse transcriptase can occur with the failure of tenofovir-, didanosine-, abacavir-, and, in some cases, stavudine-containing regimens and leads to reduced phenotypic susceptibility to these drugs and hypersusceptibility to zidovudine, but its clinical impact is poorly described. We identified isolates with the K65R mutation within the Stanford Resistance Database and a French cohort for which subsequent treatment and virological response data were available. The partial genotypic susceptibility score (pGSS) was defined as the genotypic susceptibility score (GSS) excluding the salvage regimen's nucleoside reverse transcriptase inhibitor (NRTI) component. A three-part virologic response variable was defined (e.g., complete virologic response, partial virologic response, and no virologic response). Univariate, multivariate, and bootstrap analyses evaluated factors associated with the virologic response, focusing on the contributions of zidovudine and tenofovir. Seventy-one of 130 patients (55%) achieved a complete virologic response (defined as an HIV RNA level of <200 copies/ml). In univariate analyses, pGSS and zidovudine use in the salvage regimen were predictors of the virologic response. In a multivariate analysis, pGSS and zidovudine and tenofovir use were associated with the virologic response. Bootstrap analyses showed similar reductions in HIV RNA levels with zidovudine or tenofovir use (0.5 to 0.9 log10). In the presence of K65R, zidovudine and tenofovir are associated with similar reductions in HIV RNA levels. Given its tolerability, tenofovir may be the preferred agent over zidovudine even in the presence of the K65R mutation.
doi:10.1128/AAC.01380-09
PMCID: PMC2849386  PMID: 20124005
14.  Mathematical Description of Bacterial Traveling Pulses 
PLoS Computational Biology  2010;6(8):e1000890.
The Keller-Segel system has been widely proposed as a model for bacterial waves driven by chemotactic processes. Current experiments on Escherichia coli have shown the precise structure of traveling pulses. We present here an alternative mathematical description of traveling pulses at the macroscopic scale. This modeling task is complemented with numerical simulations in accordance with the experimental observations. Our model is derived from an accurate kinetic description of the mesoscopic run-and-tumble process performed by bacteria. This can account for recent experimental observations with E. coli. Qualitative agreements include the asymmetry of the pulse and transition in the collective behaviour (clustered motion versus dispersion). In addition, we can capture quantitatively the traveling speed of the pulse as well as its characteristic length. This work opens several experimental and theoretical perspectives since coefficients at the macroscopic level are derived from considerations at the cellular scale. For instance, the particular response of a single cell to chemical cues turns out to have a strong effect on collective motion. Furthermore, the bottom-up scaling allows us to perform preliminary mathematical analysis and write efficient numerical schemes. This model is intended as a predictive tool for the investigation of bacterial collective motion.
Author Summary
Modeling chemotaxis has raised a lot of interest in the applied mathematics community in past decades. The precise description of bacterial pulses traveling in a narrow channel is a challenging issue in the self-organization of cells. Indeed, our biological knowledge of signal integration in E. coli has grown in parallel with the development of more involved mathematical models. There exists a hierarchy of models for the analysis of bacteria E. coli motion depending on the scale under consideration. In this work, we derive macroscopic equations from the mesoscopic scale. This allows us to perform qualitative and quantitative analysis based on numerical simulations. We compare our predictions with current experiments performed with E. coli. The results can be interpreted at the cellular scale due to the bottom-up integration. This approach reveals better agreement with current experiments than the widely used Keller-Segel model. We conclude that the mesoscopic run-and-tumble description is compatible with the propagation of a pulse at the macroscopic scale.
doi:10.1371/journal.pcbi.1000890
PMCID: PMC2924242  PMID: 20808878
15.  Resistance-Associated Mutations to Etravirine (TMC-125) in Antiretroviral-Naïve Patients Infected with Non-B HIV-1 Subtypes▿  
Susceptibility to etravirine (ETR), an expanded-spectrum nonnucleoside reverse transcriptase inhibitor (NNRTI), is dependent on the type and number of NNRTI resistance-associated mutations (RAMs). Studies have shown that some HIV-1 subtypes may have natural polymorphisms described as ETR RAMs. This study addresses the prevalence of ETR RAMs in treatment-naïve patients infected with HIV-1 non-B subtypes and its potential impact on ETR susceptibility. The prevalence of ETR RAMs in 726 antiretroviral-naïve patients infected with non-B HIV-1 subtypes was studied. ETR genotypic resistance was interpreted according to Agence Nationale de Recherches sur le SIDA and Stanford algorithms. NNRTI phenotypic susceptibilities of samples with at least one ETR RAM were measured. Overall, 75 (10.3%) of 726 sequences harbored at least one ETR RAM: sequences from 72 patients (10%) each had one ETR RAM, and sequences from 3 patients (0.4%) each had two ETR RAMs (V90I and Y181C in one case and V90I and A98G in two cases). None of the viruses had three or more ETR RAMs, and none were consequently classified as resistant to ETR. All sequences with two ETR RAMs belonged to subtype CRF02_AG. The presence of one ETR RAM was statistically more frequent in subtype CRF02_AG than in other non-B subtypes (P = 0.004). Three new mutation profiles (E138A and V179I, Y181C and H221Y, and V90I and Y181C) showing decreased ETR phenotypic susceptibility were identified. In conclusion, although the prevalence of ETR RAMs in treatment-naïve patients infected with non-B HIV-1 subtypes was 10%, in most cases this had no significant impact on ETR susceptibility. However, the transmission of drug-resistant viruses with Y181C in a non-B genetic background has a potential for impact on ETR susceptibility.
doi:10.1128/AAC.01335-09
PMCID: PMC2812140  PMID: 20008779
16.  Factors Associated with Virological Response to Etravirine in Nonnucleoside Reverse Transcriptase Inhibitor-Experienced HIV-1-Infected Patients▿  
To identify factors associated with virological response (VR) to an etravirine (ETR)-based regimen, 243 patients previously treated with nonnucleoside reverse transcriptase inhibitors (NNRTIs) were studied. The impact of baseline HIV-1 RNA, CD4 cell count, past NNRTIs used, 57 NNRTI resistance mutations, genotypic sensitivity score (GSS) for nucleoside reverse transcriptase inhibitors (NRTIs) and protease inhibitors (PIs), and the number of new drugs used with ETR for the first time on the VR to an ETR regimen were investigated. Among the 243 patients, the median baseline HIV-1 RNA level was 4.4 log10 copies/ml (interquartile range [IQR], 3.7 to 4.9) and the median CD4 count was 175 cells/mm3 (IQR, 69 to 312). Patients had been previously exposed to a median of 6 NRTIs, 1, NNRTI, and 5 PIs. Overall, 82% of patients achieved a VR at month 2, as defined by a decrease of at least 1.5 log10 copies/ml and/or HIV-1 RNA level of <50 copies/ml. No difference in VR was observed between patients receiving or not a boosted PI in combination with ETR. Factors independently associated with a better VR to ETR were the number of drugs (among enfuvirtide, darunavir, or raltegravir) used for the first time in combination with ETR and the presence of the K103N mutation at baseline. Mutations Y181V and E138A were independently associated with poor VR, whereas no effect of the Y181C on VR was observed. In conclusion, ETR was associated with high response rates in NNRTI-experienced patients in combination with other active drugs regardless of the therapeutic class used.
doi:10.1128/AAC.01051-09
PMCID: PMC2798499  PMID: 19901096
17.  Impact of Y143 HIV-1 Integrase Mutations on Resistance to Raltegravir In Vitro and In Vivo▿  
Integrase (IN), the HIV-1 enzyme responsible for the integration of the viral genome into the chromosomes of infected cells, is the target of the recently approved antiviral raltegravir (RAL). Despite this drug's activity against viruses resistant to other antiretrovirals, failures of raltegravir therapy were observed, in association with the emergence of resistance due to mutations in the integrase coding region. Two pathways involving primary mutations on residues N155 and Q148 have been characterized. It was suggested that mutations at residue Y143 might constitute a third primary pathway for resistance. The aims of this study were to investigate the susceptibility of HIV-1 Y143R/C mutants to raltegravir and to determine the effects of these mutations on the IN-mediated reactions. Our observations demonstrate that Y143R/C mutants are strongly impaired for both of these activities in vitro. However, Y143R/C activity can be kinetically restored, thereby reproducing the effect of the secondary G140S mutation that rescues the defect associated with the Q148R/H mutants. A molecular modeling study confirmed that Y143R/C mutations play a role similar to that determined for Q148R/H mutations. In the viral replicative context, this defect leads to a partial block of integration responsible for a weak replicative capacity. Nevertheless, the Y143 mutant presented a high level of resistance to raltegravir. Furthermore, the 50% effective concentration (EC50) determined for Y143R/C mutants was significantly higher than that obtained with G140S/Q148R mutants. Altogether our results not only show that the mutation at position Y143 is one of the mechanisms conferring resistance to RAL but also explain the delayed emergence of this mutation.
doi:10.1128/AAC.01075-09
PMCID: PMC2798554  PMID: 19901095
19.  Genotypic Resistance Analysis of the Virological Response to Fosamprenavir-Ritonavir in Protease Inhibitor-Experienced Patients in CONTEXT and TRIAD Clinical Trials▿  
Antimicrobial Agents and Chemotherapy  2008;52(12):4251-4257.
The aim of this study was to identify human immunodeficiency virus (HIV) protease mutations associated with virological response (VR) to fosamprenavir-ritonavir (FPV/r) in 113 protease inhibitor (PI)-experienced patients randomized in both CONTEXT and TRIAD clinical trials and receiving the same dose (700/100 mg twice daily) of FPV/r. The impact of each protease mutation on the VR to FPV/r, defined as the decrease in HIV RNA at week 12, was investigated with nonparametric analyses. A step-by-step procedure was done using a Jonckheere-Terpstra (JT) test that retains the group of mutations most strongly associated with the VR. Mutations at the following 14 codons were associated with a reduced VR to FPV/r: 10, 15, 33, 46, 54, 60, 62, 63, 72, 73, 82, 84, 89, and 90. The JT procedure led to selecting the CONTEXT/TRIAD genotypic set of mutations, I15V, M46I/L, I54L/M/V, D60E, L63P/T, and I84V, as providing the strongest association with the VR (P = 1.45 × 10−11). In the nine patients with zero mutations within this set, the median decrease in HIV RNA was −2.63 log copies/ml, and was −2.22 (n = 45), −1.50 (n = 26), −0.58 (n = 23), −0.47 (n = 6), −0.13 (n = 3), and 0.04 (n = 1) log copies/ml in those with one, two, three, four, five, and six mutations, respectively. This study identified six mutations associated with VR to FPV/r. Some of these mutations are shared with the current FPV/r Agence Nationale de Recherches sur le SIDA (ANRS) resistance score, which has been cross-validated in the CONTEXT/TRIAD data set, suggesting that the current ANRS FPV/r score is a useful tool for the prediction of VR to FPV/r in PI-experienced patients.
doi:10.1128/AAC.00514-08
PMCID: PMC2592865  PMID: 18852278
20.  Tipranavir-Ritonavir Genotypic Resistance Score in Protease Inhibitor-Experienced Patients▿  
To identify mutations associated with the virological response (VR) to a tipranavir-ritonavir (TPV/r)-based regimen, 143 patients previously treated with protease inhibitor (PI) were studied. VR was defined by a decrease of at least 1 log10 in, or undetectable, human immunodeficiency virus (HIV) RNA at month 3. The effect of each mutation in the protease, considering all variants at a residue as a single variable, on the VR to TPV/r was investigated. Mutations at six residues were associated with a lower VR (E35D/G/K/N, M36I/L/V, Q58E, Q61D/E/G/H/N/R, H69I/K/N/Q/R/Y, and L89I/M/R/T/V), and one mutation was associated with a higher VR (F53L/W/Y). The genotypic score M36I/L/V − F53L/W/Y + Q58E + H69I/K/N/Q/R/Y + L89I/M/R/T/V was selected as providing a strong association with VR. For the seven patients with a genotypic score of −1 (viruses with only mutation at codon 53), the percentage of responders was 100% and the percentages were 79%, 56%, 33%, 21%, and 0% for those with scores of 0, 1, 2, 3, and 4, respectively. The percentage of patients showing a response to TPV/r was lower for patients infected with non-clade B viruses (n = 16, all non-B subtypes considered together) than for those infected with clade B viruses (n = 127) (25% and 59%, respectively; P = 0.015). Most mutations associated with VR to TPV/r had not previously been associated with PI resistance. This is consistent with phenotypic analysis showing that TPV has a unique resistance profile. Mutations at five positions (35, 36, 61, 69, and 89) were observed significantly more frequently in patients infected with a non-B subtype than in those infected with the B subtype, probably explaining the lower VR observed in these patients.
doi:10.1128/AAC.00133-08
PMCID: PMC2533483  PMID: 18625773
21.  The G140S mutation in HIV integrases from raltegravir-resistant patients rescues catalytic defect due to the resistance Q148H mutation 
Nucleic Acids Research  2009;37(4):1193-1201.
Raltegravir (MK-0518) is the first integrase (IN) inhibitor to be approved by the US FDA and is currently used in clinical treatment of viruses resistant to other antiretroviral compounds. Virological failure of Raltegravir treatment is associated with mutations in the IN gene following two main distinct genetic pathways involving either the N155 or Q148 residue. Importantly, in most cases, an additional mutation at the position G140 is associated with the Q148 pathway. Here, we investigated the viral DNA kinetics for mutants identified in Raltegravir-resistant patients. We found that (i) integration is impaired for Q148H when compared with the wild-type, G140S and G140S/Q148H mutants; and (ii) the N155H and G140S mutations confer lower levels of resistance than the Q148H mutation. We also characterized the corresponding recombinant INs properties. Enzymatic performances closely parallel ex vivo studies. The Q148H mutation ‘freezes’ IN into a catalytically inactive state. By contrast, the conformational transition converting the inactive form into an active form is rescued by the G140S/Q148H double mutation. In conclusion, the Q148H mutation is responsible for resistance to Raltegravir whereas the G140S mutation increases viral fitness in the G140S/Q148H context. Altogether, these results account for the predominance of G140S/Q148H mutants in clinical trials using Raltegravir.
doi:10.1093/nar/gkn1050
PMCID: PMC2651800  PMID: 19129221
22.  Antiretroviral Therapy with a Twice-Daily Regimen Containing 400 Milligrams of Indinavir and 100 Milligrams of Ritonavir in Human Immunodeficiency Virus Type 1-Infected Women during Pregnancy▿  
We evaluated the safety and efficacy of a twice daily regimen containing 400 mg of indinavir and 100 mg of ritonavir in 32 human immunodeficiency virus (HIV)-infected women during pregnancy. The median indinavir trough concentration was 208 ng/ml during the third trimester. At delivery, 26 of 28 women on indinavir-ritonavir had HIV RNA levels of <200 copies/ml. No infant was HIV infected. These data are encouraging for the use of this combination for prevention of mother-to-child transmission of HIV.
doi:10.1128/AAC.01301-07
PMCID: PMC2292558  PMID: 18250187
23.  Mutations Associated with Failure of Raltegravir Treatment Affect Integrase Sensitivity to the Inhibitor In Vitro▿  
Raltegravir (MK-0518) is a potent inhibitor of human immunodeficiency virus (HIV) integrase and is clinically effective against viruses resistant to other classes of antiretroviral agents. However, it can select mutations in the HIV integrase gene. Nine heavily pretreated patients who received salvage therapy including raltegravir and who subsequently developed virological failure under raltegravir therapy were studied. For each patient, the sequences of the integrase-coding region were determined and compared to that at the beginning of the treatment. Four different mutation profiles were identified in these nine patients: E92Q, G140S Q148H, N155H, and E157Q mutations. For four patients, each harboring a different profile, the wild-type and mutated integrases were produced, purified, and assayed in vitro. All the mutations identified altered the activities of integrase protein: both 3′ processing and strand transfer activities were moderately affected in the E92Q mutant; strand transfer was markedly impaired in the N155H mutant; both activities were strongly impaired in the G140S Q148H mutant; and the E157Q mutant was almost completely inactive. The sensitivities of wild-type and mutant integrases to raltegravir were compared. The E92Q and G140S Q148H profiles were each associated with a 7- to 8-fold decrease in sensitivity, and the N155H mutant was more than 14-fold less sensitive to raltegravir. At least four genetic profiles (E92Q, G140S Q148H, N155H, and E157Q) can be associated with in vivo treatment failure and resistance to raltegravir. These mutations led to strong impairment of enzymes in vitro in the absence of raltegravir: strand transfer activity was affected, and in some cases 3′ processing was also impaired.
doi:10.1128/AAC.01228-07
PMCID: PMC2292515  PMID: 18227187
24.  Factors Associated with the Selection of Mutations Conferring Resistance to Protease Inhibitors (PIs) in PI-Experienced Patients Displaying Treatment Failure on Darunavir▿  
The objective of this study was to characterize the mutations selected by darunavir (DRV) use in protease inhibitor (PI)-experienced patients and the associated factors. We analyzed treatment failure in 54 PI-experienced human immunodeficiency virus (HIV)-infected patients on a DRV- and ritonavir-containing regimen. Viral genotyping was carried out at the baseline, at between 1 and 3 months of treatment, and at between 3 and 6 months of treatment to search for the selection of mutations conferring resistance to PIs. The median baseline HIV RNA level was 4.9 log10 copies/ml, and the median CD4 count was 87 cells/mm3. At the baseline, the median numbers of resistance mutations were as follows: 3 DRV resistance mutations, 4 major PI resistance mutations, and 10 minor PI resistance mutations. The most common mutations that emerged at rebound included V32I (44%), I54M/L (24%), L33F (25%), I84V (21%), and L89V (12%). Multivariate analysis showed that higher baseline HIV RNA levels and smaller numbers of nucleoside reverse transcriptase inhibitor simultaneously used with DRV were associated with a higher risk of DRV resistance mutation selection. By contrast, L76V, a known DRV resistance mutation, was found to decrease the risk of selection of another DRV resistance mutation. The occurrence of virological failure while a patient was on DRV was associated with the selection of mutations that increased the level of DRV resistance without affecting susceptibility to tipranavir (TPV). In these PI-treated patients who displayed treatment failure while they were on a DRV-containing regimen, we confirmed the set of emerging mutations associated with DRV failure and identified the factors associated with the selection of these mutations. TPV susceptibility does not seem to be affected by the selection of a DRV resistance mutation.
doi:10.1128/AAC.00909-07
PMCID: PMC2224714  PMID: 18039922

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