Low-frequency drug-resistant HIV-1 and risk of virological failure to first-line NNRTI-based ART: a multicohort European case-control study using centralized ultrasensitive 454 pyrosequencing.

OBJECTIVES: It is still debated if pre-existing minority drug-resistant HIV-1 variants (MVs) affect the virological outcomes of first-line NNRTI-containing ART. METHODS: This Europe-wide case-control study included ART-naive subjects infected with drug-susceptible HIV-1 as revealed by population sequencing, who achieved virological suppression on first-line ART including one NNRTI. Cases experienced virological failure and controls were subjects from the same cohort whose viraemia remained suppressed at a matched time since initiation of ART. Blinded, centralized 454 pyrosequencing with parallel bioinformatic analysis in two laboratories was used to identify MVs in the 1%-25% frequency range. ORs of virological failure according to MV detection were estimated by logistic regression. RESULTS: Two hundred and sixty samples (76 cases and 184 controls), mostly subtype B (73.5%), were used for the analysis. Identical MVs were detected in the two laboratories. 31.6% of cases and 16.8% of controls harboured pre-existing MVs. Detection of at least one MV versus no MVs was associated with an increased risk of virological failure (OR = 2.75, 95% CI = 1.35-5.60, P = 0.005); similar associations were observed for at least one MV versus no NRTI MVs (OR = 2.27, 95% CI = 0.76-6.77, P = 0.140) and at least one MV versus no NNRTI MVs (OR = 2.41, 95% CI = 1.12-5.18, P = 0.024). A dose-effect relationship between virological failure and mutational load was found. CONCLUSIONS: Pre-existing MVs more than double the risk of virological failure to first-line NNRTI-based ART.

Predictors of CD4(+) T-cell counts of HIV type 1-infected persons after virologic failure of all 3 original antiretroviral drug classes.

BACKGROUND: Low CD4(+) T-cell counts are the main factor leading to clinical progression in human immunodeficiency virus type 1 (HIV-1) infection. We aimed to investigate factors affecting CD4(+) T-cell counts after triple-class virological failure. METHODS: We included individuals from the COHERE database who started antiretroviral therapy from 1998 onward and who experienced triple-class virological failure. CD4(+) T-cell counts obtained after triple-class virologic failure were analyzed using generalized estimating equations. RESULTS: The analyses included 2424 individuals with a total of 23 922 CD4(+) T-cell count measurements. In adjusted models (excluding current viral load and year), CD4(+) T-cell counts were higher with regimens that included boosted protease inhibitors (increase, 22 cells/µL [95% confidence interval {CI}, 3.9-41]; P = .017) or drugs from the new classes (increase, 39 cells/µL [95% CI, 15-62]; P = .001), compared with nonnucleoside reverse-transcriptase inhibitor-based regimens. These associations disappeared when current viral load and/or calendar year were included. Compared with viral levels of <2.5 log(10) copies/mL, levels of 2.5-3.5, 3.5-4.5, 4.5-5.5, and >5.5 log(10) copies/mL were associated with CD4(+) T-cell count decreases of 51, 84, 137, and 186 cells/µL, respectively (P < .001). CONCLUSIONS: The approximately linear inverse relationship between log(10) viral load and CD4(+) T-cell count indicates that there are likely immunologic benefits from lowering viral load even by modest amounts that do not lead to undetectable viral loads. This is important for patients with low CD4(+) T-cell counts and few drug options.

Prevalence of HIV-1 drug resistance in treated patients with viral load >50 copies/mL in 2009: a French nationwide study.

BACKGROUND: Surveillance of HIV-1 drug resistance in treated patients with plasma viral load (VL) >50 copies/mL. METHODS: The protease and reverse transcriptase (RT) genes were systematically sequenced in samples from 756 patients with VL >50 copies/mL in 2009. The genotyping results were interpreted for each antiretroviral drug (ARV) by using the ANRS algorithm v21. Weighted analyses were used to derive representative estimates of percentages of patients. Prevalence rates were compared with those obtained in 2004 among patients with VL >1000 copies/mL. RESULTS: Sequences were obtained for 506 patients. Sequencing was successful in 45%, 80% and 96% of samples with VL of 51-500, 501-1000 and >1000 copies/mL, respectively. Resistance or possible resistance to at least one ARV was observed in 59% of samples. Overall, 0.9% of samples contained viruses resistant to all drugs belonging to at least three drug classes. All resistance prevalence rates were significantly lower in 2009 than in 2004. CONCLUSION: In France, where 86% of patients were receiving combination antiretroviral therapy in 2009, only 15.0% of patients had a VL >50 copies/mL, suggesting that only 8.9% of treated patients could potentially transmit resistant viruses. Only 0.08% of patients harboured viruses fully resistant to at least three antiretroviral drug classes. Further studies are needed to determine whether resistance continues to decline over time.

National sentinel surveillance of transmitted drug resistance in antiretroviral-naive chronically HIV-infected patients in France over a decade: 2001-2011.

OBJECTIVES: As recommended by the French ANRS programme for the surveillance of HIV-1 resistance, we estimated the prevalence of transmitted drug resistance-associated mutations (RAMs) in antiretroviral-naive, chronically HIV-1-infected patients. METHODS: RAMs were sought in samples from 661 newly diagnosed HIV-1-infected patients in 2010/11 at 36 HIV clinical care centres. Weighted analyses were used to derive representative estimates of the percentage of patients with RAMs. RESULTS: At patient inclusion, the prevalence of virus with protease (PR) or reverse transcriptase (RT) RAMs was 9.0% (95% CI 6.8%-11.2%). No integrase RAMs were observed. The prevalences of protease inhibitor, nucleoside RT inhibitor and non-nucleoside RT inhibitor RAMs were 1.8%, 6.2% and 2.4%, respectively. Resistance to one, two and three classes of antiretroviral agent was observed in 7.9%, 0.9% and 0.2% of patients, respectively. The frequency of RAMs was higher in patients infected with B compared with non-B subtype virus (11.9% versus 5.1%, P = 0.003). Baseline characteristics (gender, age, country of transmission, CD4 cell count and viral load) were not associated with the prevalence of transmitted RAMs. However, men having sex with men (MSM) were more frequently infected with resistant virus than were other transmission groups (12.5% versus 5.8%, P = 0.003). Compared with the 2006/07 survey, the overall prevalence of resistance remained stable. However, a significant decrease in the frequency of virus with PR RAMs was observed in 2010/11 compared with the 2006/07 survey (1.8% versus 5.0%, P = 0.003). CONCLUSIONS: In France in 2010/11, the global prevalence of transmitted drug-resistant variants was 9.0%, and the prevalence was stable compared with the 2006/07 survey. MSM and B subtype-infected patients are the groups with a higher prevalence of drug resistance.

Impact of lopinavir/ritonavir use on antiretroviral resistance in recent clinical practice.

OBJECTIVES: This observational study was requested by French health authorities to determine the impact of lopinavir/ritonavir (Kaletra(®)) on antiretroviral resistance in clinical practice. Virological failures of lopinavir/ritonavir and their effects on the resistance to protease inhibitors and reverse transcriptase inhibitors were evaluated in protease inhibitor-experienced patients. PATIENTS AND METHODS: Virological failure was defined as an HIV-1 plasma viral load >50 copies/mL after at least 3 months of lopinavir/ritonavir-containing antiretroviral therapy. For all patients, a resistance genotypic test was available at failure and before lopinavir/ritonavir treatment. Data from 72 patients with inclusion criteria were studied. RESULTS: The mean viral load at baseline was 4 log(10) copies/mL (1.6-6.5). Mutations in the protease gene significantly selected between baseline and failure were L10V, K20R, L33F, M36I, I47V, I54V, A71V and I85V (P < 0.05). Patients who had more than seven protease inhibitor mutations at baseline showed a significantly increased risk of occurrence of protease inhibitor mutations. The proportion of viruses susceptible to atazanavir, fosamprenavir and darunavir decreased significantly between baseline and failure (P < 0.05). Among patients with a virus susceptible to atazanavir at day 0, 26% (n = 14) exhibited a virus resistant or possibly resistant at the time of failure. This proportion was 32% (n = 16) for fosamprenavir and 16% (n = 7) for darunavir. CONCLUSIONS: A darunavir-based regimen appears to be a sequential option in the case of lopinavir/ritonavir failure. To compare and determine the best treatment sequencing, similar studies should be performed for darunavir/ritonavir and atazanavir/ritonavir.

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.

Cellular HIV-1 DNA quantification and short-term and long-term response to antiretroviral therapy.

BACKGROUND: The aim of our study was to determine whether HIV-1 DNA level before antiretroviral therapy (ART) was associated with short- and long-term virological and immunological responses. METHODS: Patients starting first-line protease inhibitor-containing regimens were enrolled in a prospective multicentre cohort in 1998-99. HIV-1 DNA was quantified using real-time PCR at baseline and after 1 year of ART. The association between HIV-1 DNA and virological and immunological responses after 1 and 7 years on ART was studied in multivariate regression models along with other biological and clinical variables. Virological failure (VF) at month 12 (M12) was defined as a plasma HIV-1 RNA >500 copies/mL. Time to death or two plasma HIV-1 RNA >500 copies/mL between M12 and M84 was studied for long-term VF. RESULTS: HIV-1 DNA levels were measured in 148 patients. The median baseline peripheral blood mononuclear cell (PBMC) HIV-1 DNA was 3.7 log(10) copies/10(6) PBMCs. At M12, the median PBMC HIV-1 DNA was 2.99 log(10) copies/10(6) PBMCs. The median decrease in PBMC HIV-1 DNA between M0 and M12 was -0.7 log(10) copies/10(6) PBMCs. Higher baseline PBMC HIV-1 DNA and plasma HIV-1 RNA were independently associated with a higher risk of VF at M12. Only the baseline plasma HIV-1 RNA was independently associated with long-term virological response. The baseline CD4 cell count was the only parameter associated with short- and long-term immunological responses. CONCLUSIONS: HIV-1 DNA impacted the virological response in our cohort. Further research is warranted to study the impact of HIV-1 DNA with currently recommended first-line cART.

Prevalence of resistance mutations related to integrase inhibitor S/GSK1349572 in HIV-1 subtype B raltegravir-naive and -treated patients.

OBJECTIVES: To compare the frequency of previously in vitro-selected integrase mutations (T124A, T124A/S153F, S153Y, T124A/S153Y and L101I/T124A/S153Y) conferring resistance to S/GSK1349572 between HIV-1 subtype B integrase inhibitor (INI)-naive and raltegravir-treated patients. METHODS: Integrase sequences from 650 INI-naive patients and 84 raltegravir-treated patients were analysed. RESULTS: The T124A mutation alone and the combination T124A/L101I were more frequent in raltegravir-failing patients than in INI-naive patients (39.3% versus 24.5%, respectively, P = 0.005 for T124A and 20.2% versus 10.0%, respectively, P = 0.008 for T124A/L101I). The S153Y/F mutations were not detected in any integrase sequence (except for S153F alone, only detected in one INI-naive patient). CONCLUSIONS: T124A and T124A/L101I, more frequent in raltegravir-treated patients, could have some effect on raltegravir response and their presence could play a role in the selection of other mutations conferring S/GSK1349572 resistance. The impact of raltegravir-mediated changes such as these on the virological response to S/GSK1349572 should be studied further.

Improved V3 genotyping with duplicate PCR amplification for determining HIV-1 tropism.

OBJECTIVES: To determine whether genotyping of HIV-1 by duplicate PCR amplification of the region encoding the V3 loop is more sensitive than single PCR for detecting CXCR4-using viruses. PATIENTS AND METHODS: The V3 genotypes of the HIV-1 infecting 152 patients enrolled in the multicentre GenoTropism ANRS study were determined by all the participating laboratories using a single PCR and V3 bulk sequencing. In parallel, one laboratory determined the V3 genotype using duplicate PCR and bulk sequencing of pooled amplicons. HIV tropism was predicted with the geno2pheno10 algorithm. The phenotypes of all samples were determined with the Trofile assay and the Toulouse tropism test (TTT) recombinant virus assay. RESULTS: Geno2pheno10 was 56.8% sensitive and 75.9% specific when compared with the Trofile assay for detecting CXCR4-using viruses after a single PCR. Duplicate amplification and bulk sequencing of the pooled PCR amplicons increased the sensitivity to 68.2% and specificity to 79.6%. Geno2pheno10 was 64.1% sensitive and 77.0% specific when compared with the TTT assay for detecting CXCR4-using viruses after a single PCR. Duplicate amplification and sequencing of the pooled PCR amplicons increased sensitivity to 76.9% and specificity to 80.5%. CONCLUSIONS: The genotypic determination of HIV-1 tropism can be improved by duplicate amplifications and sequencing the pooled PCR products. This is a good compromise between improved sensitivity and reasonable cost for the genotype-based determination of tropism.

Low-frequency HIV-1 drug resistance mutations and risk of NNRTI-based antiretroviral treatment failure: a systematic review and pooled analysis.

CONTEXT: Presence of low-frequency, or minority, human immunodeficiency virus type 1 (HIV-1) drug resistance mutations may adversely affect response to antiretroviral treatment (ART), but evidence regarding the effects of such mutations on the effectiveness of first-line ART is conflicting. OBJECTIVE: To evaluate the association of preexisting drug-resistant HIV-1 minority variants with risk of first-line nonnucleoside reverse transcriptase inhibitor (NNRTI)-based antiretroviral virologic failure. DATA SOURCES: Systematic review of published and unpublished studies in PubMed (1966 through December 2010), EMBASE (1974 through December 2010), conference abstracts, and article references. Authors of all studies were contacted for detailed laboratory, ART, and adherence data. STUDY SELECTION AND DATA ABSTRACTION: Studies involving ART-naive participants initiating NNRTI-based regimens were included. Participants were included if all drugs in their ART regimen were fully active by standard HIV drug resistance testing. Cox proportional hazard models using pooled patient-level data were used to estimate the risk of virologic failure based on a Prentice weighted case-cohort analysis stratified by study. DATA SYNTHESIS: Individual data from 10 studies and 985 participants were available for the primary analysis. Low-frequency drug resistance mutations were detected in 187 participants, including 117 of 808 patients in the cohort studies. Low-frequency HIV-1 drug resistance mutations were associated with an increased risk of virologic failure (hazard ratio (HR], 2.3 [95% confidence interval {CI}, 1.7-3.3]; P < .001) after controlling for medication adherence, race/ethnicity, baseline CD4 cell count, and plasma HIV-1 RNA levels. Increased risk of virologic failure was most strongly associated with minority variants resistant to NNRTIs (HR, 2.6 [95% CI, 1.9-3.5]; P < .001). Among participants from the cohort studies, 35% of those with detectable minority variants experienced virologic failure compared with 15% of those without minority variants. The presence of minority variants was associated with 2.5 to 3 times the risk of virologic failure at either 95% or greater or less than 95% overall medication adherence. A dose-dependent increased risk of virologic failure was found in participants with a higher proportion or quantity of drug-resistant variants. CONCLUSION: In a pooled analysis, low-frequency HIV-1 drug resistance mutations, particularly involving NNRTI resistance, were significantly associated with a dose-dependent increased risk of virologic failure with first-line ART.

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.

Evaluation of the genotypic prediction of HIV-1 coreceptor use versus a phenotypic assay and correlation with the virological response to maraviroc: the ANRS GenoTropism study.

Genotypic algorithms for prediction of HIV-1 coreceptor usage need to be evaluated in a clinical setting. We aimed at studying (i) the correlation of genotypic prediction of coreceptor use in comparison with a phenotypic assay and (ii) the relationship between genotypic prediction of coreceptor use at baseline and the virological response (VR) to a therapy including maraviroc (MVC). Antiretroviral-experienced patients were included in the MVC Expanded Access Program if they had an R5 screening result with Trofile (Monogram Biosciences). V3 loop sequences were determined at screening, and coreceptor use was predicted using 13 genotypic algorithms or combinations of algorithms. Genotypic predictions were compared to Trofile; dual or mixed (D/M) variants were considered as X4 variants. Both genotypic and phenotypic results were obtained for 189 patients at screening, with 54 isolates scored as X4 or D/M and 135 scored as R5 with Trofile. The highest sensitivity (59.3%) for detection of X4 was obtained with the Geno2pheno algorithm, with a false-positive rate set up at 10% (Geno2pheno10). In the 112 patients receiving MVC, a plasma viral RNA load of <50 copies/ml was obtained in 68% of cases at month 6. In multivariate analysis, the prediction of the X4 genotype at baseline with the Geno2pheno10 algorithm including baseline viral load and CD4 nadir was independently associated with a worse VR at months 1 and 3. The baseline weighted genotypic sensitivity score was associated with VR at month 6. There were strong arguments in favor of using genotypic coreceptor use assays for determining which patients would respond to CCR5 antagonist.

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 log(10) copies/ml (interquartile range [IQR], 3.7 to 4.9) and the median CD4 count was 175 cells/mm(3) (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 log(10) 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.

Evolution of 2-long terminal repeat (2-LTR) episomal HIV-1 DNA in raltegravir-treated patients and in in vitro infected cells.

OBJECTIVES: Our aim was to analyse the evolution of HIV-1 2-long terminal repeat (2-LTR) circular DNA in vitro and ex vivo in the presence of raltegravir. PATIENTS AND METHODS: Twenty-five patients starting a raltegravir-based regimen were included. Total HIV-1 DNA and 2-LTR DNA were quantified at baseline and in follow-up samples up to month 12. The effect of raltegravir on the formation of 2-LTR circles was evaluated in HeLa P4 cells. The effect of raltegravir was also investigated by sequence analysis of the 2-LTR circle junctions. RESULTS: Among 21 patients with undetectable 2-LTR DNA at baseline, 7 had detectable 2-LTR DNA during the follow-up. Three of four patients with detectable 2-LTR DNA at baseline had undetectable 2-LTR DNA during the follow-up (P = 0.27). The mean 2-LTR level increased significantly (+0.07 log(10)/month, P = 0.02) in raltegravir-treated patients, and a 2-LTR increase was also observed in raltegravir-treated HeLa P4 cells, with a peak at 3 days post-infection. 2-LTR DNA showed a high prevalence of deletions ex vivo (64.5%) and in vitro (50%) in the presence of raltegravir, which was not statistically different from the prevalence in untreated patients or cells. CONCLUSIONS: In antiretroviral-experienced patients receiving raltegravir, 2-LTR DNA increased while total HIV-1 DNA decreased over time. The frequent rearrangements found in 2-LTR sequences warrant further investigations to determine the dynamics of evolution of unintegrated HIV-1 DNA.

HIV-1 resistance patterns to integrase inhibitors in antiretroviral-experienced patients with virological failure on raltegravir-containing regimens.

BACKGROUND: Our aim was to study the in vivo viral genetic pathways for resistance to raltegravir, in antiretroviral-experienced patients with virological failure (VF) on raltegravir-containing regimens. METHODS: We set up a prospective study including antiretroviral-experienced patients receiving raltegravir-based regimens. Integrase (IN) genotypic resistance analysis was performed at baseline. IN was also sequenced at follow-up points in the case of VF, i.e. plasma HIV-1 RNA>400 copies/mL at month 3 and/or >50 copies/mL at month 6. For phenotyping, the IN region was recombined with an IN-deleted HXB2-based HIV-1 backbone. A titrated amount of IN recombinant viruses was used for antiviral testing against raltegravir and elvitegravir. RESULTS: Among 51 patients, 11 (21.6%) had VF. Four different patterns of IN mutations were observed: (i) emergence of Q148H/R with secondary mutations (n=5 patients); (ii) emergence of N155H, then replaced by a pattern including Y143C/H/R (n=3); (iii) selection of S230N (n=1); and (iv) no evidence of selection of IN mutations (n=2). The median raltegravir and elvitegravir fold changes (FCs) were 244 (154-647) and 793 (339-892), respectively, for the Q148H/R pattern, while the median raltegravir and elvitegravir FCs were 21 (6-52) and 3 (2-3), respectively, with Y143C/H/R. The median plasma raltegravir Cmin was lower in patients with selection of the N155H mutation followed by Y143C/H/R compared with patients with Q148H/R and with patients without emerging mutations or without VF. CONCLUSIONS: Diverse genetic profiles can be associated with VF on raltegravir-containing regimens, including the dynamics of replacement of mutational profiles. Pharmacokinetic parameters could be involved in this genetic evolution.

Increasing prevalence of transmitted drug resistance mutations and non-B subtype circulation in antiretroviral-naive chronically HIV-infected patients from 2001 to 2006/2007 in France.

OBJECTIVES: To estimate the prevalence of transmitted drug resistance mutations and non-B subtype circulation in antiretroviral-naive chronically HIV-1-infected patients in France. METHODS: Resistance mutations were sought in samples from 530 newly diagnosed HIV-1-infected patients from October 2006 to March 2007. Protease and reverse transcriptase mutations were identified from the 2007 Stanford Resistance Surveillance list. RESULTS: Reverse transcriptase and protease resistance mutations were determined in 466 patients with duration of seropositivity <5 years. 42% of patients were infected with non-B subtype strains (CRF02 18.3%). The overall prevalence of viruses with protease or reverse transcriptase mutations was 10.6% (95% confidence interval 6.7-16.3). The prevalence of protease inhibitor, nucleoside reverse transcriptase inhibitor and non-nucleoside reverse transcriptase inhibitor resistance-associated mutations was 4.7%, 5.8% and 2.8%, respectively. Frequency of resistance was not different in patients infected with B (9.5%) and non-B (CRF02 7.8% and other 11.2%) subtypes. Baseline characteristics such as gender, age, transmission group, country of transmission, disease stage, CD4 counts and viral load were not associated with the prevalence of transmitted drug resistance. CONCLUSIONS: In France in 2006/2007, the prevalence of transmitted drug-resistant variants was 10.6%. Prevalence of transmitted drug resistance was comparable in B and non-B subtypes. Prevalence of non-B subtypes is still rising.

Detection of human immunodeficiency virus (HIV) type 1 M184V and K103N minority variants in patients with primary HIV infection.

We used an allele-specific real-time PCR assay to explore the presence of K103N and M184V minority species among primary human immunodeficiency virus (HIV) infections and their potential influence in HIV transmission. Thirty randomly chosen antiretroviral drug-naive patients lacking both the K103N and the M184V mutations as determined by conventional sequencing methods were studied, and K103N and M184V viral minority species were found in three (10%) and four (11%) patients, respectively.

HIV type-1 transmission dynamics in recent seroconverters: relationship with transmission of drug resistance and viral diversity.

BACKGROUND: HIV type-1 (HIV-1) has been shown to be frequently transmitted by acutely infected patients. We investigated the relationship between the dynamics of HIV-1 transmission within recently infected patients, the HIV-1 variability and the transmission of antiretroviral drug resistance. METHODS: We included patients infected between 1996 and 2006, with a plasma sample obtained <18 months after seroconversion and prior to antiretroviral therapy initiation. Reverse transcriptase (RT) and protease sequences were determined by direct population sequencing from plasma samples. Genotypic resistance was interpreted with the Agence Nationale de Recherches sur le SIDA et les Hépatites Virales 2006 algorithm and International AIDS Society-USA list. Phylogenetic analysis (neighbour-joining and maximum likelihood methods) of RT sequences was used to determine the HIV-1 subtype and the interrelationship between sequences. RESULTS: Genotypic resistance was detected in 37/263 (14.1%) patients. Patients were infected by HIV-1 clade B in 222 (84%) cases and with non-B subtypes in 41 (16%). A total of 80 (30.4%) RT sequences were segregated in 24 clusters with bootstrap values >98% for 22 clusters. The frequency of grouping in clusters was higher within B sequences compared with non-B sequences (35.1% versus 4.9%; P<2.10(-4)). Drug-resistant isolates were retrieved in only 3 clusters, but the prevalence of resistance in clustering viruses (10/80, 12.5%) was not different than in isolated sequences. CONCLUSIONS: The segregation into clusters suggested frequent forward transmission events in patients infected with HIV-1 subtype B, including the possibility of transmission of drug-resistant isolates. These findings warrant increasing prevention efforts and serological screening in the at-risk populations.

Virological and immunological response in HIV-1-infected patients with multiple treatment failures receiving raltegravir and optimized background therapy, ANRS CO3 Aquitaine Cohort.

BACKGROUND: The efficacy of raltegravir plus optimized background therapy (OBT) has been demonstrated for antiretroviral (ARV)-experienced HIV-1-infected patients in randomized clinical trials. We studied viro-immunological response, pharmacokinetic parameters and genotypic test results in an observational cohort of multiple ARV class-experienced patients starting a raltegravir-based regimen. METHODS: Already enrolled ANRS CO3 Aquitaine Cohort patients with virological failure were included in this study after starting a raltegravir-based regimen (400 mg twice a day, week 0). Virological success was defined by the plasma HIV-1 RNA level [viral load (VL)] <2.7 log(10) copies/mL at week 12 and <1.7 log(10) copies/mL at week 24. One patient was excluded from further analysis (no follow-up after week 4). RESULTS: Fifty-one patients [male/female = 43/8, median age = 48 (interquartile range = 43, 55) years] were included. At week 0, median CD4 count was 244 (110; 310)/mm(3) and median VL was 4.2 (3.6, 4.7) log(10) copies/mL. At week 24, 39 (78%) patients experienced virological success: 4 (44%), 14 (82%) and 21 (87%) patients with a genotypic sensitivity score <1, > or =1 and <2 and > or =2 (P = 0.02), respectively. Raltegravir-related mutations emerged in 9 of 11 failing patients (82%): Q148H/R (n = 5), N155S/H (n = 3) and S230N (n = 1). Median CD4 increases from week 0 to week 4 and week 24 were 28 (-4, 85) and 57 (0, 156) cells/mm(3), respectively. A poor immune response was independently associated with a lower VL decline (week 0 to week 12) [odds ratio (OR): 3.5, 95% confidence interval (CI): 1.4, 8.4, for 1 log(10) less] and CD4+% at baseline (OR: 2.6, 95% CI: 0.97, 8.3, for 10% lower). CONCLUSIONS: Raltegravir plus OBT provided a good virological success rate in highly pre-treated patients under clinical routine conditions.

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 log(10) 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-53L/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.