Broad phenotypic cross-resistance to elvitegravir in HIV-infected patients failing on raltegravir-containing regimens.

The failure of raltegravir (RAL) is generally associated with the selection of mutations at integrase position Y143, Q148, or N155. However, a relatively high proportion of failures occurs in the absence of these changes. Here, we report the phenotypic susceptibilities to RAL and elvitegravir (EVG) for a large group of HIV-infected patients failing on RAL-containing regimens. Plasma from HIV-infected individuals failing on RAL-containing regimens underwent genotypic and phenotypic resistance testing (Antivirogram v2.5.01; Virco). A control group of patients failing on other regimens was similarly tested. Sixty-one samples were analyzed, 40 of which belonged to patients failing on RAL-containing regimens. Full RAL susceptibility was found in 20/21 controls, while susceptibility to EVG was diminished in 8 subjects, with a median fold change (FC) of 2.5 (interquartile range [IQR], 2.1 to 3.1). Fourteen samples from patients with RAL failures showed diminished RAL susceptibility, with a median FC of 38.5 (IQR, 10.8 to 103.2). Primary integrase resistance mutations were found in 11 of these samples, displaying a median FC of 68.5 (IQR, 23.5 to 134.3). The remaining 3 samples showed a median FC of 2.5 (IQR, 2 to 2.7). EVG susceptibility was diminished in 19/40 samples from patients with RAL failures (median FC, 7.71 [IQR, 2.48 to 99.93]). Cross-resistance between RAL and EVG was high (R(2) = 0.8; P < 0.001), with drug susceptibility being more frequently reduced for EVG than for RAL (44.3% versus 24.6%; P = 0.035). Susceptibility to RAL and EVG is rarely affected in the absence of primary integrase resistance mutations. There is broad cross-resistance between RAL and EVG, which should preclude their sequential use. Resistance to EVG seems to be more frequent and might be more influenced by integrase variability.

Comparison of HIV-1 RNA measurements obtained by using plasma and dried blood spots in the automated abbott real-time viral load assay.

Dried blood spots (DBS) may be a promising alternative specimen type to plasma for measuring the viral load (VL) in HIV-infected individuals in resource-limited settings. However, characterization of assay performance using DBS is incomplete. In this prospective study, the VL was measured in parallel using plasma and DBS specimens collected at the same time from 157 HIV-1-infected individuals. DBS were prepared by dispensing 50 µl of blood onto filter paper cards and were stored desiccated at -20°C. Nucleic acid extraction from plasma and DBS was performed automatically using the Abbott m2000sp instrument, and the VL was measured using the RealTime HIV-1 VL assay, which has a lower limit of detection of 40 HIV RNA copies/ml. The correlation between plasma and DBS results was good (R = 0.91; P < 0.001). The mean difference in the VL (DBS minus plasma) was 0.35 log copies (standard deviation [SD], 0.47 log copies). A total of 40 (26%) paired specimens had a difference of >0.5 log copy, and in 12 (7.8%) it was >1 log copy. the VL from DBS was measurable in 95.7% of specimens with a plasma VL of >2.74 log copies (550 HIV RNA copies/ml). In summary, the VL can reliably be measured using DBS with the Abbott RealTime HIV-1 assay. The estimated lower limit of detection of this automated methodology on DBS is 550 copies/ml, a threshold that may be acceptable for periodic VL monitoring in patients on antiretroviral therapy in resource-limited settings, where early detection of virologic treatment failure is often problematic.

HIV-1 drug resistance testing from dried blood spots collected in rural Tanzania using the ViroSeq HIV-1 Genotyping System.

OBJECTIVES: To assess whether the commercial ViroSeq HIV-1 Genotyping System (Abbott Molecular, Des Plains, IL, USA) can be used in conjunction with dried blood spots (DBS) for clinical monitoring of drug resistance in patients who fail antiretroviral treatment (ART) in rural Tanzania. PATIENTS AND METHODS: Patients at Haydom Lutheran Hospital with confirmed treatment failure (viral load >1000 copies/mL) of a first-line ART regimen were selected for resistance testing. DBS were stored with desiccant at -20 °C for a median of 126 days (range 0-203) and shipped at ambient temperature for 20 days. After manual extraction of nucleic acids, the ViroSeq kit was used for amplification and sequencing. DBS-derived genotypes were compared with those of a plasma-based assay. RESULTS: Seventeen of 36 (47%) DBS specimens were successfully genotyped. Only 2 of 16 (13%) DBS with a viral load <10,000 copies/mL could be amplified, compared with 15 of 20 (75%) DBS with a viral load >10,000 copies/mL (P = 0.001). In samples that yielded a sequence, all 23 clinically significant reverse transcriptase (RT) mutations in plasma were also detected in DBS. One RT mutation was found in DBS only. In the protease region, 77 polymorphisms were found in plasma, of which 70 (91%) were also detected in DBS. Sixteen of 17 (94%) patients had identical resistance profiles to antiretroviral drugs in plasma and DBS. CONCLUSIONS: The ViroSeq kit performed well in patients with a high viral load, but failed to genotype most DBS with a viral load <10,000 copies/mL. In DBS that yielded a genotype, there was high concordance with a plasma-based assay.

Integrase variability and susceptibility to HIV integrase inhibitors: impact of subtypes, antiretroviral experience and duration of HIV infection.

BACKGROUND: Little is known about the extent and predictors of polymorphisms potentially influencing the susceptibility to HIV integrase inhibitors (INIs). METHODS: Genetic sequences of HIV integrase were obtained from INI-naive patients at two European clinics. The 39 amino acid changes at 29 integrase positions so far associated with INI resistance were examined according to HIV clade, prior antiretroviral exposure and duration of HIV infection. RESULTS: Integrase sequences were obtained from 418 patients, 294 (70.3%) infected with clade B and 124 (29.7%) infected with non-B variants (predominantly CRF02, A, C and D). Overall, 40% of patients were antiretroviral experienced and 32.8% were recent seroconverters. The most prevalent INI resistance-associated mutations were V72I (63.9%), V201I (54.8%), T206S (25.4%), I203M (9.8%) and K156N (7.4%). Major INI resistance mutations at positions 66, 92, 143, 148 and 155 were not detected. The mean number of polymorphic sites was greater in non-B than in B variants (2.17 versus 1.59; P < 0.001), and in antiretroviral-experienced than in drug-naive patients (1.89 versus 1.68; P = 0.034), whereas no significant differences were seen comparing recent seroconverters and chronically infected persons. CONCLUSIONS: Major INI resistance-associated mutations are very rare, if indeed ever present, in INI-naive patients. However, polymorphisms at positions which may influence the genetic barrier and/or drive the selection of specific INI resistance pathways are common, especially in HIV non-B subtypes.

Dried blood spots perform well in viral load monitoring of patients who receive antiretroviral treatment in rural Tanzania.

BACKGROUND: Monitoring of antiretroviral treatment (ART) with human immunodeficiency virus (HIV) viral loads, as recommended in industrialized countries, is rarely available in resource-limited settings because of the high costs and stringent requirements for storage and transport of plasma. Dried blood spots (DBS) can be an alternative to plasma, but the use of DBS has not been assessed under field conditions in rural Africa. The present study investigates the performance of DBS in HIV viral load monitoring of patients who received ART in rural Tanzania. PATIENTS AND METHODS: From November 2007 through June 2008, parallel plasma and DBS specimens were obtained from patients who received ART at Haydom Lutheran Hospital in rural Tanzania. DBS specimens were stored at tropical room temperature for 3 weeks before testing with the NucliSENS EasyQ HIV-1 v1.2 assay. Results obtained with DBS were compared with results obtained with use of a gold-standard plasma assay. RESULTS: Ninety-eight plasma-DBS pairs were compared, and plasma viral loads ranged from <40 to >1,000,000 copies/mL. The correlation between plasma and DBS viral load was strong (R(2) = 0.75). The mean difference (+/- standard deviation) was 0.04 +/ 0.57 log(10) copies/mL, and only 8 samples showed >1 log(10) copies/mL difference. HIV type 1 RNA was detected in 7%, 60%, and 100% of DBS specimens with corresponding plasma viral loads of 40-999, 1000-2999, and 3000 copies/mL, respectively. CONCLUSIONS: DBS, in combination with the NucliSENS EasyQ HIV-1 v1.2 asay, performed well in monitoring HIV viral loads in patients who received ART in rural Tanzania, although the sensitivity was reduced when viral burden was low. The use of DBS can simplify virological monitoring in resource-limited settings.

Correlation between human immunodeficiency virus type 1 (HIV-1) RNA measurements obtained with dried blood spots and those obtained with plasma by use of Nuclisens EasyQ HIV-1 and Abbott RealTime HIV load tests.

The plasma human immunodeficiency virus (HIV) RNA load is used in the clinical routine for the monitoring of HIV infection and the patient's response to antiretroviral therapy. Other body fluids or dried blood spots (DBS) can be used, however, to assess the level of viremia. The use of DBS may be especially helpful for the monitoring of HIV-infected patients in resource-poor settings, where access to adequate laboratory facilities is often difficult. However, the correlation between the HIV RNA levels in plasma and those in DBSs has not been well established. Paired plasma and DBS samples obtained from HIV type 1 (HIV-1)-infected patients were tested for HIV RNA copy numbers by using two different commercial assays, the Nuclisens EasyQ HIV-1 (version 1.1) test (the Nuclisens test; Biomerieux) and the m2000rt RealTime HIV test (the m2000rt test; Abbott). Nucleic acid extraction was performed manually by using either the Nuclisens isolation kit (which uses the Boom methodology) or the m2000rt sample preparation kit (an iron particle-based method). A total of 103 paired plasma and DBS samples were tested. Viral load results were obtained for 97 (94.2%) samples with the Nuclisens isolation kit and 81 (78.6%) samples with the m2000rt kit. The overall correlation between the RNA loads in plasma and DBS was good, although better results were obtained by the Nuclisens test (R(2) = 0.87, P < 0.001) than by the m2000rt test (R(2) = 0.70, P < 0.001). While the specificities were excellent and similar for both the Nuclisens and the m2000rt tests (97.1% and 100%, respectively), the sensitivity was greater by the Nuclisens test than by the m2000rt test (75.8% and 56.6%, respectively). Overall, the viral loads in DBS tended to be lower than those in plasma, with mean differences of 0.3 log unit (standard deviation, 0.5 log unit) and 0.76 log unit (standard deviation, 0.8 log unit) for the Nuclisens and the m2000rt tests, respectively. The levels of agreement between the measurements in plasma and DBS were assessed by using the Bland-Altman plot for each assay. The Nuclisens test gave results within its defined limits (-0.65 to 1.26) for 95.9% of the samples, while the m2000rt test gave results within its limits (-0.83 to 2.33) for 100% of the samples. In summary, the HIV-1 load can accurately be quantified by testing DBS by either the Nuclisens or the m2000rt test, although the Nuclisens test may outperform the m2000rt test when nucleic acids are extracted manually.

Improvement in the determination of HIV-1 tropism using the V3 gene sequence and a combination of bioinformatic tools.

Assessment of HIV tropism using bioinformatic tools based on V3 sequences correlates poorly with results provided by phenotypic tropism assays, particularly for recognizing X4 viruses. This may represent an obstacle for the use of CCR5 antagonists. An algorithm combining several bioinformatic tools might improve the correlation with phenotypic tropism results. A total of 200 V3 sequences from HIV-1 subtype B, available in several databases with known phenotypic tropism results, were used to evaluate the sensitivity and specificity of seven different bioinformatic tools (PSSM, SVM, C4.5 decision tree generator and C4.5, PART, Charge Rule, and Geno2pheno). The best predictive bioinformatic tools were identified, and a model combining several of these was built. Using the 200 reference sequences, SVM and geno2-pheno showed the highest sensitivity for detecting X4 viruses (98.8% and 93.7%, respectively); however, their specificity was relatively low (62.5% and 86.6%, respectively). For R5 viruses, PSSM and C4.5 gave the same results and outperformed other bioinformatic tools (95.7% sensitivity, 82% specificity). When results from three out of these four tools were concordant, the sensitivity and specificity, taking as reference the results from phenotypic tropism assays, were over 90% in predicting either R5 or X4 viruses (AUC: 0.9701; 95% CI: 0.9358-0.9889). An algorithm combining four distinct bioinformatic tools (SVM, geno2pheno, PSSM and C4.5), improves the genotypic prediction of HIV tropism, and merits further evaluation, as it might prove useful as a screening strategy in clinical practice.

Changing patterns in HIV reverse transcriptase resistance mutations after availability of tenofovir.

Assessment of 1177 human immunodeficiency virus (HIV) resistance genotypes at an HIV/AIDS clinic showed a decrease in the incidence of the K65R mutation, from 15.2% of isolates during the period 2002-2004 to 2.7% of isolates during the period 2005-2006 (P < .001), despite elevated and stable rates of tenofovir use. A reduction in the rate of coadministration of didanosine (from 41.6% of patients in 2004 to 0.8% of patients in 2006; P < .001) largely explained this observation.

Evaluation of eight different bioinformatics tools to predict viral tropism in different human immunodeficiency virus type 1 subtypes.

Human immunodeficiency virus type 1 (HIV-1) tropism can be assessed using phenotypic assays, but this is quite laborious, expensive, and time-consuming and can be made only in sophisticated laboratories. More accessible albeit reliable tools for testing of HIV-1 tropism are needed in view of the prompt introduction of CCR5 antagonists in clinical practice. Bioinformatics tools based on V3 sequences might help to predict HIV-1 tropism; however, most of these methods have been designed by taking only genetic information derived from HIV-1 subtype B into consideration. The aim of this study was to evaluate the performances of several genotypic tools to predict HIV-1 tropism in non-B subtypes, as data on this issue are scarce. Plasma samples were tested using a new phenotypic tropism assay (Phenoscript-tropism; Eurofins), and results were compared with estimates of coreceptor usage using eight different genotypic predictor softwares (Support Vector Machine [SVM], C4.5, C4.5 with positions 8 to 12 only, PART, Charge Rule, geno2pheno coreceptor, Position-Specific Scoring Matrix X4R5 [PSSM(X4R5)], and PSSM(sinsi)). A total of 150 samples were tested, with 115 belonging to patients infected with non-B subtypes and 35 drawn from subtype B-infected patients, which were taken as controls. When non-B subtypes were tested, the concordances between the results obtained using the phenotypic assay and distinct genotypic tools were as follows: 78.8% for SVM, 77.5% for C4.5, 82.5% for C4.5 with positions 8 to 12 only, 82.5% for PART, 82.5% for Charge Rule, 82.5% for PSSM(X4R5), 83.8% for PSSM(sinsi), and 71.3% for geno2pheno. When clade B viruses were tested, the best concordances were seen for PSSM(X4R5) (91.4%), PSSM(sinsi) (88.6%), and geno2pheno (88.6%). The sensitivity for detecting X4 variants was lower for non-B than for B viruses, especially in the case of PSSM(sinsi) (38.4% versus 100%, respectively), SVM(wetcat) (46% versus 100%, respectively), and PART (30% versus 90%, respectively). In summary, while inferences of HIV-1 coreceptor usage using genotypic tools seem to be reliable for clade B viruses, their performances are poor for non-B subtypes, in which they particularly fail to detect X4 variants.

HIV-1 drug resistance genotyping from dried blood spots stored for 1 year at 4 degrees C.

BACKGROUND: Dried blood spots (DBSs) are an attractive alternative to plasma for HIV-1 drug resistance testing in resource-limited settings. We recently showed that HIV-1 can be efficiently genotyped from DBSs stored at -20 degrees C for prolonged periods (0.5-4 years). Here, we evaluated the efficiency of genotyping from DBSs stored at 4 degrees C for 1 year. METHODS: A total of 40 DBSs were prepared from residual diagnostic specimens collected from HIV subtype B-infected persons and were stored with desiccant at 4 degrees C. Total nucleic acids were extracted after 1 year using a modification of the Nuclisens assay. Resistance testing was performed using the ViroSeq HIV-1 assay and an in-house nested RT-PCR method validated for HIV-1 subtype B that amplifies a smaller (1 kb) pol fragment. RESULTS: Using the ViroSeq assay, only 23 of the 40 (57.5%) DBS specimens were successfully genotyped; 22 of these specimens had plasma viraemia >10,000 RNA copies/mL. When the specimens were tested using the in-house assay, 38 of the 40 DBSs (95%) were successfully genotyped. Overall, resistance genotypes generated from the DBSs and plasma were highly concordant. CONCLUSIONS: We show that drug resistance genotyping from DBSs stored at 4 degrees C with desiccant is highly efficient but requires the amplification of small pol fragments and the use of an in-house nested PCR protocol with quality-controlled reagents. These findings suggest that 4 degrees C may represent a suitable temperature for long-term storage of DBSs.

Subtype variability, virological response and drug resistance assessed on dried blood spots collected from HIV patients on antiretroviral therapy in Angola.

BACKGROUND: Subtype variability may influence treatment response and selection of drug resistance mutations in HIV-positive patients on antiretroviral therapy. PATIENTS AND METHODS: A retrospective study was performed on specimens collected on dried blood spots (DBS) from HIV-positive individuals receiving antiretroviral therapy in Luanda, Angola. HIV-RNA, drug resistance mutations and subtypes were examined in 294 HIV-positive patients treated with two nucleoside analogues (NA) plus one non-nucleoside reverse transcriptase inhibitor (NNRTI). RESULTS: Overall, 217 (74%) had <1000 HIV-RNA copies/mL after a median of 12 months (range 7-24) of therapy. CD4 count was significantly higher in subjects with undetectable viraemia compared with viraemic patients (294 versus 220 cells/mm3; P = 0.003). Reverse transcriptase and/or gp41 genes could be genotyped in only 45 (58%) of viraemic patients, probably due to poor storage conditions of DBS. The most frequent resistance mutations were M184V (70%) and K103N (39%); 65% had mutations conferring resistance to both NA and NNRTI. Only five patients did not show resistance mutations. A wide HIV-1 subtype heterogeneity was found: 6 C (18.2%), 2 F (6%), 2 H (6%), 1 D (3%), 1 G (3%), 8 CRF02_AG (24.2%), 2 CRF06 (6%), 1 CRF01_AE (3%), 1 CRF14_BG (3%), 1 CRF25 (3%) and 1 CRF19 (3%). HIV clade could not be assigned in 7 (21%). CONCLUSIONS: Nearly three-quarters of HIV-positive individuals who began an NNRTI-based triple regimen in Angola showed undetectable viraemia after a median of 12 months of therapy, a rate similar to that reported in Western countries. Specimens collected on DBS may allow monitoring of treatment response in resource-limited regions, although adequate temperature and humidity storage conditions are important to ensure RNA stability and further successful testing.

Mitochondrial DNA depletion in HIV-infected patients with chronic hepatitis C and effect of pegylated interferon plus ribavirin therapy.

BACKGROUND: The metabolic stress derived from high levels of virus replication in both HIV and hepatitis C virus (HCV) infections results in mitochondrial DNA depletion, which seems to be enhanced in co-infected patients. The use of nucleoside analogues to treat HIV infection may further increase mtDNA depletion by inhibiting gamma DNA polymerase. Information on the impact of therapy with pegylated interferon (pegIFN) plus ribavirin on mtDNA is scarce and conflicting results have been reported. PATIENTS AND METHODS: Fifty-nine HCV/HIV-co-infected patients (43 on and 16 off antiretroviral therapy) who initiated treatment with pegIFN plus ribavirin were retrospectively analysed. The amount of mtDNA in peripheral blood mononuclear cells (PBMC) was measured at baseline and at the end of HCV therapy. RESULTS: Mean baseline serum HCV-RNA was 5.8 log IU/ml and 56% of patients were infected by HCV genotype 1. An inverse correlation between serum HCV-RNA levels and PBMC mtDNA content was recognized at baseline (r = -0.370; P = 0.006). HCV-RNA suppression at the end of HCV therapy was associated with a significant increase in mtDNA, particularly in patients with baseline HCV-RNA levels greater than 6 log IU/ml (+61 mtDNA copies/cell) and in subjects not taking antiretroviral therapy (+133 mtDNA copies/cell). CONCLUSION: HCV replication correlates with the extent of mtDNA depletion in PBMC, and treatment of chronic hepatitis C is associated with a significant improvement in mtDNA content. This benefit, however, is not recognized when HCV medications are used along with antiretroviral therapy, probably because of a deleterious interaction of these drugs on mitochondria.

Changing rates and patterns of drug resistance mutations in antiretroviral-experienced HIV-infected patients.

Surveillance of drug resistance mutations in antiretroviral-experienced HIV(+) patients may provide useful information regarding options available for rescue interventions. All resistance tests performed from 1999 to 2005 on antiretroviral-experienced individuals at one reference laboratory in Madrid were examined. Only mutations associated with drug resistance recorded at the September 2006 IAS-USA list were considered. A total of 2137 specimens were analyzed. Overall, 71.1% showed resistance mutations to at least one drug class, 56.1% to at least two, and 21% to all three drug families. Resistance mutations were 65% for NRTI, 44.4% for NNRTI, and 42.5% for PI. Mutations T215Y/F, M184V, and M41L were the most frequent for NRTI. Their rate significantly declined since 1999. K65R significantly increased since 1999 (0.8%) to 2003 (7.3%) but declined up to 3.3% in 2005. For NNRTI, K103N significantly increased from 21.8% in 1999 to 29.5% in 2005 (p < 0.01). The most frequent PI resistance mutations were L90M (24.3%), V82X (19.9%), M46I/L (19.5%), and I54V (17.1%). The presence of five or more was 58.8% in 1999 but declined to 22.2% in 2005. The rate of drug resistance mutations causing NRTI and PI resistance has steadily declined in antiretroviral-experienced patients since 1999. The availability of a large number and/or more convenient NRTI as well as the wide use of ritonavir-boosted PI could explain these observations. However, broad PI cross-resistance was seen in nearly 25% of antiretroviral-experienced patients in 2005. Therefore, there is a still need for new antiretrovirals with different resistance profiles.

Mechanisms involved in CD4 cell gains in HIV-infected patients switched to raltegravir.

BACKGROUND: CD4 gains in HIV patients on HAART result from release of T cells recently migrated from the thymus, redistribution from lymphoid tissues, proliferation in the periphery and/or reduced apoptosis. The relative contribution of each mechanism in CD4 restoration in patients with suppressed viremia switching antiretrovirals is unclear. METHODS: HIV patients with undetectable viremia on HAART were identified at our clinic. A subset switched to raltegravir was compared with another group that kept therapy unmodified. Naive and memory CD4 T-cells were measured by flow cytometry using CD45RA and CD27, respectively. Activation was examined using CD38 and recent thymic emigrants using CD31. Apoptosis was analyzed measuring soluble tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) and Fas ligand (FasL). RESULTS: Thirty-seven patients were examined, 19 switched to raltegravir and 18 controls, after a median of 26 months of suppressed viremia. At 6 months, mean CD4 cell counts significantly increased in raltegravir patients from 322 to 448 cells/µl (P = 0.026) but not in controls (from 312 to 330 cells/µl; P  = 0.813). No significant changes were recognized in activation or CD31 expression in any group. In raltegravir patients, however, the proportion of naive CD4 T cells significantly increased (P = 0.014) as well as CD38 expression in these cells (P = 0.036). A positive correlation was found between CD38 and CD31 expression in naive CD4 T cells (R  = 0.51, P < 0.001). TRAIL and FasL did not decline significantly in any group. CONCLUSION: HIV patients with prolonged undetectable viremia on HAART experience more pronounced CD4 gains after raltegravir switching than keeping the same regimen. An increased production of naive CD4 T cells largely explains this effect.

Resistance associated mutations to dolutegravir (S/GSK1349572) in HIV-infected patients--impact of HIV subtypes and prior raltegravir experience.

Dolutegravir (S/GSK1349572) is a second-generation HIV-1 integrase inhibitor (INI) in advanced clinical development. It has shown good antiviral activity in most patients with prior raltegravir failure, although changes at the integrase codon 148, particularly when combined with other mutations, confer reduced susceptibility and may impair dolutegravir activity. Mutations believed to be associated with dolutegravir resistance at positions 92, 101, 124, 148, 153, and 193 were assessed in patients either INI-naïve or experiencing failure to raltegravir-based regimens. The integrase coding region was sequenced using an in-house nested-PCR protocol. HIV-1 subtyping was carried out using the Stanford algorithm. A total of 638 plasma samples were analyzed from 535 INI-naïve and 103 raltegravir-experienced patients. Non-B subtypes were recognized in 20.8% patients. Mutations L101I and T124A were significantly more prevalent in patients with non-B subtypes (66.9% vs. 45.7% for L101I; 61.7% vs. 25.9% for T124A; and 39.1% vs. 12.7% for L101I+T124A; p<0.001 in all cases). E92Q and Q148H/R were only seen in raltegravir-experienced patients and exclusively infected with subtype B (1.9% vs. 0%, p=0.026, for E92Q and 12.6% vs. 0%, p<0.001, for Q148H/R). On the contrary, T124A was more frequent in INI-naïve than raltegravir-experienced patients (35.1% vs. 24.3%, p=0.040). S153Y/F was absent in this dataset. Polymorphic changes L101I and T124A were more frequent in HIV-1 non-B than B subtypes. T124A was more frequent in INI-naïve patients but E92Q and Q148H/R were only seen in raltegravir-experienced individuals. Thus, both HIV-1 subtype and raltegravir exposure may influence the antiviral activity of dolutegravir.

Minority HIV mutation detection in dried blood spots indicates high specimen integrity and reveals hidden archived drug resistance.

BACKGROUND: Dried blood spots (DBS) could serve as an attractive, cost-effective alternative to plasma for HIV drug resistance testing. OBJECTIVES: To assess the utility and potential gain in genotypic information with sensitive testing of DBS compared to conventional bulk plasma genotyping, and examine the correlation of majority and minority-level resistance mutations in DBS with treatment history. STUDY DESIGN: Evaluate nucleic acids from the DBS of 33 antiretroviral-experienced subtype B-infected subjects for minority M41L, K65R, K70R, K103N, Y181C, M184V, and T215Y/F mutations by real-time PCR. Compare minority resistance mutations in DBS with bulk genotypes from the same DBS cards and available plasma specimens. RESULTS: All but one (50/51, 98%) mutation from the original plasma bulk sequencing were still detectable in the DBS after three years of storage. The one mutation not identified in DBS was also no longer detectable by bulk sequencing. Furthermore, sensitive testing found 12 additional drug resistance mutations at minority levels in the DBS of 11 (33%) patients. Six minority mutations were in the RNA compartment and six were detected only in the DNA compartment. Resistance was detected in the DBS RNA compartment only in cases where the associated drug was in use within one year of sample collection. CONCLUSIONS: Our ability to identify majority and additional minority-level resistance mutations demonstrated that DBS, if stored properly, is a high-integrity specimen type for conventional and sensitive drug resistance testing. Our data further support the global utility of DBS for drug resistance surveillance and clinical monitoring.

Changes in drug resistance patterns following the introduction of HIV type 1 non-B subtypes in Spain.

Natural genetic variability at the pol gene may account for differences in drug susceptibility and selection of resistance patterns across HIV-1 clades. Spread of non-B subtypes along with changes in antiretroviral drug use may have modified drug resistance patterns in recent years. All HIV-1 clinical samples sent to a reference laboratory located in Madrid for drug resistance testing since January 2000 were analyzed. The pol gene was sequenced and HIV-1 subtypes were assigned using the Stanford algorithm and phylogenetic analyses for non-B subtypes. Drug resistance mutations were recorded using the IAS-USA mutation list (April 2008). A total of 3034 specimens from 730 antiretroviral-naive individuals (92 with non-B subtypes) and 1569 antiretroviral-experienced patients (97 with non-B subtypes) were examined. The prevalence of HIV-1 non-B subtypes in the study period increased from 4.4% (2000-2003) to 10.1% (2004-2007) (p < 0.01). The most predominant variants were CRF02_AG (41.8%) and G (17.5%). Thymidine analogue mutations (TAMs) were more prevalent in B than non-B subtypes, in both drug-naive (6.2% vs. 1%; p < 0.01) and treatment-experienced patients (49% vs. 30%, p < 0.01). K103N was most frequent in B than non-B subtypes (34% vs. 21%; p < 0.01); conversely, 106A/M was more prevalent in non-B than B clades (11% vs. 5%). Codon 179 mutations associated with etravirine resistance were more frequent in non-B than B subtypes. Finally, secondary protease resistance mutations were more common in non-B than B clades, with a potentially significant impact at least on tipranavir. The prevalence of HIV-1 non-B subtypes has increased since the year 2000 in a large drug resistance database in Spain, determining changes in drug resistance patterns that may influence the susceptibility to new antiretroviral drugs and have an impact on genotypic drug resistance interpretation algorithms.

Prevalence and impact of HIV-1 protease mutation L76V on lopinavir resistance.

Besides I47A, mutation L76V at the HIV protease gene has recently been proposed to cause lopinavir resistance. This change was present in 37 (2.7%) out of 1376 patients failing protease inhibitor containing regimens. Although 26 (70%) were on lopinavir, most had previously failed other protease inhibitors and carried multiple protease inhibitor resistance mutations. Therefore, L76V does not appear to be a primary lopinavir resistance change when the drug is used in combination therapy.

Performance of a population-based HIV-1 tropism phenotypic assay and correlation with V3 genotypic prediction tools in recent HIV-1 seroconverters.

BACKGROUND: Pure X4 and X4R5 dual-tropic viruses may be recognized in approximately 15% of drug-naive HIV-1-positive patients. CCR5 antagonists are active against R5 viruses; therefore, HIV tropism should be known before their prescription. PATIENTS AND METHODS: A population-based phenotypic assay was performed in 61 recent HIV-1 seroconverters. The results were compared with those obtained using 8 different predictor software programs (C4.5, C4.5 with 8 and 12, PART, SVM, Charge Rule, PSSMsinsi, PSSMx4r5, and geno2pheno), which are freely available at 3 different Web sites and use V3 sequences derived from patient's viruses. RESULTS: Phenotypic testing reported X4R5 dual-tropic viruses in 10 (16.4%) patients. CD4 cell counts and viral loads were significantly lower in X4R5 dual-tropic (450 cells/microL and 3.9 log HIV RNA copies/mL) than in R5 viruses (629 cells/microL, 4.5 log HIV RNA copies/mL) (P<0.05). The overall concordance of genotype and phenotype was relatively good (>80%). Although specificity was >90% using all but 1 genotypic predictor (geno2pheno), however, the sensitivity for the detection of X4 variants was low (<30%), except for SVM and geno2pheno (70%). CONCLUSIONS: The prevalence of X4 and X4/R5 dual-tropic viruses in recent HIV seroconverters is 16%. Current genotypic algorithms need to be improved for the estimation of HIV-1 coreceptor use before moving to the clinic. This information is crucial for the selection of candidates to receive CCR5 antagonists in places where phenotypic tropism assays may not be feasible.

Prevalence of X4 tropic HIV-1 variants in patients with differences in disease stage and exposure to antiretroviral therapy.

Viral tropism plays an important role in HIV pathogenesis. However, its correlation with the clinical outcome and following exposure to antiretroviral drugs are still unclear. HIV-1 co-receptor usage was examined in 206 infected individuals: 67 seroconverters, 52 chronically drug-naïve, and 87 antiretroviral-experienced patients. The V3 loop was sequenced from plasma HIV-RNA and co-receptor usage was inferred using a phenotype predictor software (http://genomiac2.ucsd.edu:8080/wetcat/v3.html), which classifies V3 sequences as R5 or X4. The overall prevalence of X4 viruses was 26.2%, with significant differences among groups: 13.4% in seroconverters, 25% in drug-naïve, and 36.8% in antiretroviral- experienced patients (P = 0.001). The presence of X4 variants in the latter group was associated with higher viral load (P = 0.002) but not with lower CD4 counts. There was no association between HIV tropism and gender, transmission route or age. Neither with the CCR5 Delta32 genotype. Moreover, no association was found between HIV-1 tropism and drug resistance mutations nor with failure to regimens based on either protease inhibitors or non-nucleoside reverse transcriptase inhibitors. Finally, no significant association was found between IL-7 plasma levels with HIV-1 tropism. In summary, X4 viruses are particularly frequent among antiretroviral-experienced patients with high viral loads, irrespective of the CD4 count. Thus, CCR5 antagonists should be used with special caution in this subset of patients.