Detection of low-level HCV variants in DAA treated patients: comparison amongst three different NGS data analysis protocols.

BACKGROUND: Notwithstanding the efforts of direct-acting antivirals (DAAs) for the treatment of chronically infected hepatitis C virus (HCV) patients, concerns exist regarding the emergence of resistance-associated substitutions (RAS) related to therapy failure. Sanger sequencing is still the reference technique used for the detection of RAS and it detects viral variants present up to 15%, meaning that minority variants are undetectable, using this technique. To date, many studies are focused on the analysis of the impact of HCV low variants using next-generation sequencing (NGS) techniques, but the importance of these minority variants is still debated, and importantly, a common data analysis method is still not defined. METHODS: Serum samples from four patients failing DAAs therapy were collected at baseline and failure, and amplification of NS3, NS5A and NS5B genes was performed on each sample. The genes amplified were sequenced using Sanger and NGS Illumina sequencing and the data generated were analyzed with different approaches. Three different NGS data analysis methods, two homemade in silico pipeline and one commercially available certified user-friendly software, were used to detect low-level variants. RESULTS: The NGS approach allowed to infer also very-low level virus variants. Moreover, data processing allowed to generate high accuracy data which results in reduction in the error rates for each single sequence polymorphism. The results improved the detection of low-level viral variants in the HCV quasispecies of the analyzed patients, and in one patient a low-level RAS related to treatment failure was identified. Importantly, the results obtained from only two out of the three data analysis strategies were in complete agreement in terms of both detection and frequency of RAS. CONCLUSIONS: These results highlight the need to find a robust NGS data analysis method to standardize NGS results for a better comprehension of the clinical role of low-level HCV variants. Based on the extreme importance of data analysis approaches for wet-data interpretation, a detailed description of the used pipelines and further standardization of the in silico analysis could allow increasing diagnostic laboratory networking to unleash true potentials of NGS.

Relapse of Symptomatic Cerebrospinal Fluid HIV Escape.

PURPOSE OF REVIEW: Symptomatic cerebrospinal fluid (CSF) HIV escape defines the presence of neurological disease in combination antiretroviral therapy (cART)-treated persons due to HIV replication in CSF despite systemic suppression or to higher viral replication in CSF than in plasma. The aim was to search for cases of recurrent symptomatic CSF escape and to define their characteristics. RECENT FINDINGS: By review of the literature, we identified symptomatic CSF escape relapses in three patients who had shown clinical remission of a first escape episode following cART optimization. By examination of our cohort of 21 patients with symptomatic CSF escape, we identified five additional patients. In the latter, viral escape relapsed over a median follow-up of 108 months because of low adherence or upon treatment simplification of a previously optimized regimen. cART reoptimization based on resistance profile and potential drug neuropenetration and efficacy led to relapse resolution with no further episodes after a median follow-up of 50 months from relapse. The observation that CSF escape may relapse highlights the importance of long-term neuro-suppressive regimens after a first episode and supports the role of the brain as a reservoir for HIV.

48 week outcomes of maraviroc-containing regimens following the genotypic or Trofile assay in HIV-1 failing subjects: the OSCAR Study.

This study assessed the 48-week efficacy of an antiretroviral therapy including maraviroc following the assessment of co-receptor tropism by use of Geno2Pheno algorithm or the Trofile phenotypic assay in failing treatment-experienced HIV-1 patients. This was a multicenter, randomized, open-label, non-inferiority trial. Treatment-experienced subjects with HIV-RNA ≥500 copies/mL were randomized (1:1) to undergo co-receptor tropism testing by the Geno- 2Pheno algorithm (with a false positive rate >10%) or the Trofile assay before starting a new antiretroviral treatment which included maraviroc. The primary endpoint was the 48 week proportion of patients with treatment success (TS). Intention-to-treat analyses are also reported. One hundred and fifty-five experienced patients were analysed: 77 patients in the Trofile arm and 78 in the Genotype arm. The 48-week proportion of TS was 87% in the Trofile arm and 89% in the Genotype arm (difference: 1.5%, 95%CI: -8.9% to 11.8%) suggesting non-inferiority. In the Trofile arm, 10 patients had treatment failure: 5 viral rebound, 5 discontinuations. In the Genotype arm, 9 patients had treatment failure: 7 viral rebound, 2 lost to follow-up. CD4+ significantly increased from baseline to week 48 in both arms. 48-week treatment success was similar for maraviroc-including therapy prescribed following the Trofile phenotypic assay or Geno2Pheno algorithm.

Performance of commonly used genotypic assays and comparison with phenotypic assays of HIV-1 coreceptor tropism in acutely HIV-1-infected patients.

OBJECTIVES: Although founder viruses in primary HIV-1 infections (PHIs) typically use the CCR5 coreceptor (R5-tropic), 3%-19% of subjects also harbour CXCR4-using viruses (X4-tropic), making tropism determination before CCR5 antagonist usage mandatory. Genotypic methods can be used to accurately determine HIV-1 tropism in chronically infected patients. METHODS: We compared the results of genotypic methods [geno2pheno, PSSMx4r5 including a novel nucleotide-input version (ntPSSM) and distant segments (ds)Kernel] to predict coreceptor usage in a cohort of 67 PHIs. Specimens with discrepant results were phenotypically tested after cloning the V3 gene region into proviral backbones. Recombinant viruses were used to infect U87 indicator cell lines bearing CD4 and either CCR5 or CXCR4. RESULTS: Geno2pheno10%, PSSMx4r5 and (ds)Kernel gave identical predictions in 85% of cases. Geno2pheno10% predicted the presence of CXCR4 viruses in 18% of patients. Two patients were predicted to carry X4-tropic viruses by all algorithms and X4-tropic viruses were detected in at least one of the recombinant AD8 or NL4-3 backbone-based assays. Ten samples resulted in discordant predictions with at least one algorithm. Full concordance between tropism prediction by using population sequencing and phenotypic assays was observed only with ntPSSM. Geno2pheno prediction and the phenotypic assay gave the same results in a minority of 'discordant' patients. CONCLUSIONS: Compared with both PSSMx4r5 versions, (ds)Kernel and our phenotypic assay, geno2pheno10% overestimated the frequency of X4-tropic viruses (18% versus 3%). ntPSSM was able to detect one additional X4 virus compared with (ds)Kernel that was confirmed with the phenotypic assay.

Performance of genotypic tropism testing on proviral DNA in clinical practice: results from the DIVA study group.

OBJECTIVE: The DIVA study is aimed at setting up a standardized genotypic tropism-testing on proviral-DNA for the routine clinical diagnostic-laboratory. METHODS: Twelve local centres and 5 reference centres (previously cross-validated) were identified. For inter-center validation-procedure, 60 peripheral-blood mononuclear cells (PBMCs) aliquots from 45 HAART-treated patients were randomly chosen for population V3 sequencing on proviral-DNA at local HIV centre and at reference-laboratory. Viral tropism was predicted by Geno2Pheno algorithm (False Positive Rate [FPR] = 20%) as proposed by the European-Guidelines. Quantification of total HIV-1 DNA was based on a method described by Viard (2004). RESULTS: Quantification of HIV-1 DNA was available for 35/45 (77.8%) samples, and gave a median value of 598 (IQR:252- 1,203) copies/10 PBMCs. A total of 56/60 (93.3%) samples were successfully amplified by both the reference and the local virological centers. The overall concordance of tropism prediction between local and reference centers was 54/56 (96.4%). Results of tropism prediction by local centers were: 33/54 (61.1%) R5 and 21/54 (38.9%) X4/DM. CONCLUSION: There was high concordance in the genotypic tropism prediction based on proviral DNA among different virological centers throughout Italy. Our results are in line with other European studies, and support the use of genotypic tropism testing on proviral DNA in patients with suppressed plasma HIV-1 RNA candidate to CCR5-antagonist treatment.

Cross-resistance profile of the novel integrase inhibitor Dolutegravir (S/GSK1349572) using clonal viral variants selected in patients failing raltegravir.

Novel integrase inhibitors are in advanced clinical development, and cross-resistance data are needed to consider the possibility to plan a sequential usage within this class of antiretroviral drugs. Ex vivo phenotypic assays were conducted on 11 wild-type and 27 fully replicating recombinant viruses obtained from 11 patients failing previous raltegravir-containing regimens. Dolutegravir maintained its activity in vitro on viruses with mutations in position 143 and 155. However, viruses with mutation Q148R associated with secondary mutations and the combination Q148H+G140S were instead associated with a reduced level of susceptibility to dolutegravir in vitro.

Neutrophils predominate the immune signature of cerebral thrombi in COVID-19 stroke patients.

Coronavirus disease 2019 (COVID-19) is associated with an increased risk of thrombotic events. Ischemic stroke in COVID-19 patients entails high severity and mortality rates. Here we aimed to analyze cerebral thrombi of COVID-19 patients with large vessel occlusion (LVO) acute ischemic stroke to expose molecular evidence for SARS-CoV-2 in the thrombus and to unravel any peculiar immune-thrombotic features. We conducted a systematic pathological analysis of cerebral thrombi retrieved by endovascular thrombectomy in patients with LVO stroke infected with COVID-19 (n = 7 patients) and non-covid LVO controls (n = 23). In thrombi of COVID-19 patients, the SARS-CoV-2 docking receptor ACE2 was mainly expressed in monocytes/macrophages and showed higher expression levels compared to controls. Using polymerase chain reaction and sequencing, we detected SARS-CoV-2 Clade20A, in the thrombus of one COVID-19 patient. Comparing thrombus composition of COVID-19 and control patients, we noted no overt differences in terms of red blood cells, fibrin, neutrophil extracellular traps (NETs), von Willebrand Factor (vWF), platelets and complement complex C5b-9. However, thrombi of COVID-19 patients showed increased neutrophil density (MPO+ cells) and a three-fold higher Neutrophil-to-Lymphocyte Ratio (tNLR). In the ROC analysis both neutrophils and tNLR had a good discriminative ability to differentiate thrombi of COVID-19 patients from controls. In summary, cerebral thrombi of COVID-19 patients can harbor SARS-CoV2 and are characterized by an increased neutrophil number and tNLR and higher ACE2 expression. These findings suggest neutrophils as the possible culprit in COVID-19-related thrombosis.

Genotypic/phenotypic patterns of HIV-1 integrase resistance to raltegravir.

OBJECTIVES: To understand the dynamic viral evolution observed during failure on raltegravir-containing regimens, we studied the genotypic and phenotypic patterns of resistance to raltegravir and the residual replication capacity (rRC) of HIV-1 variants selected in vivo. METHODS: Clonal genotypic analyses were performed on sequential HIV-1 integrase sequences amplified from 11 failing patients and sampled every 4-24 weeks for up to 64 weeks. Fully replicating recombinant viruses were generated using modified vectors in which selected viral integrase genes amplified from patients' plasma were cloned. rRC was measured by a novel multiple cycle competition assay. Resistance to raltegravir and the rRC of resistant HIV-1 variants selected in vivo were evaluated in purified CD4+ T cells. RESULTS: In all of the patients but one, failure was associated with selection of mutations in positions 143, 148 or 155. Unlike mutations at position 143 (Y143S/K/R), identified alone or in combination with others, mutations at position 148 and 155 were always found in combination. A wide range of resistance levels to raltegravir [from 10- to 770-fold change in 50% inhibitory concentration (IC(50)) compared with baseline] was observed using recombinant viral clones. Finally, rRC was not significantly altered in highly resistant variants. DISCUSSION: Two patterns of viral evolution were observed in the resistant viral populations, driving the variants towards a fast (most of them with G140S + Q148H mutations) or progressive increase in resistance to raltegravir. These results may have implications either for the evaluation of genotypic results, or for the correct clinical use of the compound.

Performance of genotypic tropism testing in clinical practice using the enhanced sensitivity version of Trofile as reference assay: results from the OSCAR Study Group.

OBJECTIVE: The goal of the OSCAR programme is to evaluate the performances of genotypic HIV-1 tropism testing in clinical practice using the enhanced sensitivity version of Trofile (ESTA) as reference-assay. METHODS: HIV-1 coreceptor-usage was assessed using plasma samples from 406 HIV-1 infected patients by ESTA and by gp120 V3 population-sequencing followed by Geno2pheno (set at a False Positive Rate [FPR] of 10% and 5%). RESULTS: ESTA was successful in 365 (89.9%) samples indicating R5 in 254 (69.6%), and DM/X4 in 111 (30.4% of samples (104 [28.5%] DM and 7 [1.9%] X4). Genotypic-testing successfully assessed viral tropism for all 406 samples, including the 41 with undetermined result by ESTA. Genotypic-tropism testing at a FPR of 5% and 10% was 81.1% and 78.4% concordant with ESTA, respectively. Despite a sensitivity of 48.7% and 55.9% at a FPR of 5% and 10%, respectively, a high concordance (specificity: 95.3% for FPR of 5% and 88.2% for FPR of 10%) between genotypic-tropism testing and ESTA was reached in the detection of R5-tropic viruses. CONCLUSION: Our results are in line with other European studies, and support the routine use of genotypic tropism testing in clinical-settings for monitoring of HIV-1 infected patients candidate to or failing CCR5-antagonists.

Tracing the HIV-1 subtype B mobility in Europe: a phylogeographic approach.

BACKGROUND: The prevalence and the origin of HIV-1 subtype B, the most prevalent circulating clade among the long-term residents in Europe, have been studied extensively. However the spatial diffusion of the epidemic from the perspective of the virus has not previously been traced. RESULTS: In the current study we inferred the migration history of HIV-1 subtype B by way of a phylogeography of viral sequences sampled from 16 European countries and Israel. Migration events were inferred from viral phylogenies by character reconstruction using parsimony. With regard to the spatial dispersal of the HIV subtype B sequences across viral phylogenies, in most of the countries in Europe the epidemic was introduced by multiple sources and subsequently spread within local networks. Poland provides an exception where most of the infections were the result of a single point introduction. According to the significant migratory pathways, we show that there are considerable differences across Europe. Specifically, Greece, Portugal, Serbia and Spain, provide sources shedding HIV-1; Austria, Belgium and Luxembourg, on the other hand, are migratory targets, while for Denmark, Germany, Italy, Israel, Norway, the Netherlands, Sweden, Switzerland and the UK we inferred significant bidirectional migration. For Poland no significant migratory pathways were inferred. CONCLUSION: Subtype B phylogeographies provide a new insight about the geographical distribution of viral lineages, as well as the significant pathways of virus dispersal across Europe, suggesting that intervention strategies should also address tourists, travellers and migrants.

Evolution and predictors of HIV type-1 drug resistance in patients failing combination antiretroviral therapy in Italy.

BACKGROUND: This study aimed to examine the evolution of genotypic drug resistance prevalence in treatment-failing patients in the multicentre, Italian, Antiretroviral Resistance Cohort Analysis (ARCA). METHODS: Patients with a drug resistance genotype test performed between 1999 and 2006 at failure of a combination antiretroviral therapy and with complete treatment history were selected. The prevalence of resistance was measured overall, per calendar year, per drug class and per treatment line at failure. RESULTS: The overall resistance prevalence was 81%. Resistance to nucleoside reverse transcriptase inhibitors (NRTIs) declined after 2002 (68% in 2006; chi(2) for trend P=0.004); resistance to non-NRTIs (NNRTIs) stabilized after 2004; and resistance to protease inhibitors (PIs) declined after 2001 (43% in 2006; P=0.004). In first-line failures, NRTI resistance decreased after 2002 (P=0.006), NNRTI resistance decreased after 2003 (P=0.001) and PI resistance decreased after 2001 (P<0.001). Independent predictors of resistance to any class were HIV type-1 transmission by heterosexual contacts as compared with injecting drug use, a higher number of experienced regimens, prior history of suboptimal therapy, higher viral load and CD4+ T-cell counts, more recent calendar year and viral subtype B carriage, whereas the use of PI-based versus NNRTI-based regimens at failure was associated with a reduced risk of resistance. There was an increase of type-1 thymidine analogue and of protease mutations L33F, I47A/V, I50V and I54L/M, whereas L90M decreased over calendar years. CONCLUSIONS: During more recent years, emerging drug resistance has decreased, particularly in first-line failures. The prevalence continues to be high in multiregimen-failing patients.

Rules-based HIV-1 genotypic resistance interpretation systems predict 8 week and 24 week virological antiretroviral treatment outcome and benefit from drug potency weighting.

OBJECTIVES: To test retrospectively the ability of four freely available rules-based expert systems to predict short- and medium-term virological outcome following an antiretroviral treatment switch in pre-treated HIV-1 patients. METHODS: The HIV-1 genotype interpretation systems (GISs) HIVdb, ANRS, Rega and AntiRetroScan were tested for their accuracy in predicting response to highly active antiretroviral therapy using 8 week (n = 765) and 24 week (n = 634) follow-up standardized treatment change episodes extracted from the Italian Antiretroviral Resistance Cohort Analysis (ARCA) database. A genotypic sensitivity score (GSS) was derived for each genotype-treatment pair for the different GISs and tested as a predictor of virological treatment outcome by univariable and multivariable logistic regression as well as by receiver operating characteristic curve analysis. The two systems implementing drug potency weights (AntiRetroScan and Rega) were evaluated with and without this correction factor. RESULTS: All four GSSs were strong predictors of virological treatment outcome at both 8 and 24 weeks after adjusting for baseline viro-immunological parameters and previous drug exposure (odds ratios ranging from 2.04 to 2.43 per 1 unit GSS increase; P < 0.001 for all the systems). The accuracy of AntiRetroScan and Rega was significantly increased by drug potency weighting with respect to the unweighted versions (P

Lamivudine monotherapy in HIV-1-infected patients harbouring a lamivudine-resistant virus: a randomized pilot study (E-184V study).

OBJECTIVE: We compared the immunological and clinical outcomes of lamivudine monotherapy and complete therapy interruption in the treatment of HIV-1-infected patients harbouring lamivudine-resistant virus. METHODS: This 48-week, open-label pilot study randomly assigned HIV-infected patients receiving lamivudine-containing HAART and harbouring the M184V mutation to monotherapy with lamivudine 300 mg once daily (lamivudine group) or the discontinuation of all antiretroviral drugs (TI group). The primary endpoint was the occurrence of immunological or clinical failure; immunological failure was defined as the first report of a CD4 T-cell count less than 350 cells/microl, and clinical failure as the occurrence of a Centers for Disease Control and Prevention grade B or C event. The data were analysed on the basis of the intention-to-treat principle. RESULTS: By week 48, 20 of 29 patients in the TI group (69%; 95% CI 51-83%) and 12 of 29 in the lamivudine group (41%; 95% CI 26-59%) had discontinued the study because of immunological or clinical failure, which was significantly delayed in the lamivudine group (P = 0.018). Only patients in the TI group (6/29, 20.7%) experienced grade 3-4 clinical adverse events at least possibly related to HIV-1 (P = 0.02). The mean decline in CD4 cell percentage, viral rebound and recovery of HIV-1 replication capacity were significantly lower in the lamivudine group. The 24-week virological and immunological response after therapy resumption in patients who prematurely discontinued the study was similar in the two groups. CONCLUSION: In HIV-1-infected patients harbouring a lamivudine-resistant virus, lamivudine monotherapy may lead to a better immunological and clinical outcome than complete therapy interruption.

Comparison of a rule-based algorithm with a phenotype-based algorithm for the interpretation of HIV genotypes in guiding salvage regimens in HIV-infected patients by a randomized clinical trial: the mutations and salvage study.

BACKGROUND: There is still considerable uncertainty as to the best algorithm for interpreting human immunodeficiency virus (HIV) genotyping results. METHODS: A total of 318 subjects with HIV RNA levels of >1000 copies/mL were enrolled in 41 centers throughout Italy from 2001 through 2003, stratified on the basis of their drug history, randomized (1:1) to 2 arms to have their treatments modified on the basis of the results of HIV genotyping (as interpreted by virtual phenotype analysis or with use of a rule-based interpretation system), and followed up for 48 weeks. At least 1 nucleoside reverse-transcriptase inhibitor and 1 protease inhibitor had to be included in any new regimen; nonnucleoside reverse-transcriptase inhibitor-naive patients were also prescribed a nonnucleoside reverse-transcriptase inhibitor. Only drugs licensed in Italy were allowed. The primary end point was a decrease in HIV RNA level to <400 copies/mL by week 12 according to on-treatment analysis. RESULTS: The mean (+/- standard deviation) values at baseline were as follows: HIV RNA level, 4.1+/-0.74 log(10) copies/mL; CD4(+) T lymphocyte count, 410+/-262 cells/microL; reverse-transcriptase mutations, 4.8+/-2.9; and protease mutations, 2.8+/-2.5. There were 133 patients (41.8%) who were nonnucleoside reverse-transcriptase inhibitor naive and protease inhibitor experienced, 63 patients (19.8%) who were nonnucleoside reverse-transcriptase inhibitor experienced and protease inhibitor naive, and 122 patients (38.4%) who were 3-class experienced. A total of 192 patients completed 12 weeks of the treatment regimen assigned at baseline; at 12 weeks, 66.3% of patients in the virtual phenotype arm and 71.3% of patients in the rule-based interpretation arm had HIV RNA levels of <400 copies/mL (P = .46). No statistically significant difference between arms was observed by intention-to-treat analysis. CONCLUSION: Both the virtual phenotype and rule-based interpretation methods of HIV genotyping can guide the selection of effective antiretroviral drugs for a salvage regimen.

Redistribution of human immunodeficiency virus type 1 variants resistant to protease inhibitors after a protease inhibitor-sparing regimen.

The redistribution of mutations related to protease inhibitor (PI) resistance after a PI-sparing regimen in human immunodeficiency virus (HIV)-infected, highly PI-experienced patients was prospectively assessed. Twenty-five patients failing a PI-including regimen were given PI-sparing antiretroviral therapy, and then followed for 24 weeks after PI resumption. Genotyping was performed by direct sequencing before and during the PI-sparing regimen. The median (interquartile range, IQR) baseline CD4+ T-lymphocyte count was 198 (120-255) cells/microl, and the median HIV-RNA level was 82,000 (41,000-300,000) copies/ml. Patients had experienced a median of 4.5 (4-5.25) PIs. The median number of PI mutations was eight (6-9). The PI-sparing regimen consisted of a median of three (3-4) drugs and lasted for a median of 53 (24-67) weeks. At the end of the study, the median number of PI mutations was 6.5 (6-9). The median change in the number of PI mutations was -1 (IQR from -1 to 0). A reduction from baseline was observed in 13 cases (52%); nine (36%) showed no change and three (12%) showed an increased number of PI substitutions. In highly PI-experienced patients, a PI-sparing regimen may lead to a reduction, no change, or increase in the number of PI mutations. The reduction is negligible in most cases.

In vivo dynamics of the K103N mutation following the withdrawal of non-nucleoside reverse transcriptase inhibitors in Human Immunodeficiency Virus-infected patients.

To investigate the dynamics of the K103N mutation following the withdrawal of non-nucleoside reverse transcriptase inhibitors (NNRTIs), we selected the Human Immunodeficiency Virus (HIV)-infected patients with the mutation at the time or after the failure of an NNRTI-containing regimen from an observational database. Of 62 patients fulfilling the inclusion criteria, 39 continued antiretroviral treatment without NNRTIs (group A), whereas 23 discontinued all antiretrovirals after NNRTI failure (group B). A total of 149 tests were analysed, with a median (IQR) of two (2-3) tests/patient. The overgrowth of wild-type virus at position 103 was observed in 14 subjects in group A (36%) and nine in group B (39%). No significant trend was found in relation to the disappearance of K103N variants in either group, but patients tested while receiving antiretrovirals had a significantly higher probability of retaining the K103N mutation over 24 months than those tested during treatment interruption (P = 0.007). In conclusion, following NNRTI discontinuation, HIV variants carrying the K103N mutation are not overgrown for long by wild-type quasispecies at this position in the majority of patients, although treatment interruption favours their disappearance. This suggests that the K103N mutation per se has little impact on viral fitness in vivo.

Evaluation of atazanavir Ctrough, atazanavir genotypic inhibitory quotient, and baseline HIV genotype as predictors of a 24-week virological response in highly drug-experienced, HIV-infected patients treated with unboosted atazanavir.

The objective of this study was to evaluate virological and pharmacological determinants of a 24-week virological response to unboosted atazanavir (ATV) in highly drug-experienced HIV-infected patients. Among patients enrolled in the ATV Expanded Access Program, those with HIV-RNA >1000 copies/mL, a genotype performed within three months from the baseline (BL), and who completed 24 weeks of treatment, were included. They received at least three antiretrovirals, including ATV 400 mg once daily without boosting. ATV plasma levels were evaluated after four weeks of treatment by high performance liquid chromatography (HPLC). ATV genotypic inhibitory quotient (GIQ) was calculated as the ratio between ATV Ctrough and the number of the BL ATV-related protease resistance mutations (among the following: 10I/V/F, 20R/M/I, 24I, 331/F/V, 36I/L/V, 46I/L, 48V, 54V/L, 63P, 71V/T/I, 73C/S/T/A, 82A/F/S/T, 84V, and 90M). Thirty-five subjects were included. At baseline, median (interquartile range) CD4+ T-lymphocytes, HIV-RNA, and ATV resistance mutations were 232.5 (106-303)/microL, 4.7 (4.2-5.1) log10 copies/mL, 2 (1-6), respectively. Thirteen (37.1%) subjects were off-therapy and 11 (31.4%) showed no PI mutation at baseline. Median steady-state ATV Ctrough was 230 ng/mL (87-520), for an ATV GIQ of 86.5 (25.5-165.5). Median HIV-RNA changes from baseline at weeks 4, 12 and 24 were -1.76 (from -0.44 to -2.12), -1.41 (from -0.41 to -2.81) and -1.44 (from -0.42 to -2.71) log10, respectively. The HIV-RNA changes were correlated to the number of ATV resistance mutations at each time point (P < 0.05), whereas no correlation was found between ATV Ctrough or ATV GIQ and HIV-RNA changes. In conclusion, the number of ATV resistance mutations is the only correlate to virological response through 24 weeks of treatment with unboosted atazanavir 400 mg once daily.

Resistance to amprenavir before and after treatment with lopinavir/ritonavir in highly protease inhibitor-experienced HIV patients.

Genotypes in nine highly protease inhibitor (PI)-experienced patients were studied before and after lopinavir/ritonavir (LPV/r) treatment. Resistance to amprenavir was the rule both before and after LPV/r treatment. Treatment with LPV/r can select for the 50 V mutation. In this setting, significant differences in the inference of the amprenavir phenotype from genotype were observed when using different algorithms.