: We demonstrated a high concordance between resistance genotypes from plasma and DBS, and that resistance testing from DBS can achieve sensitive levels similar to those seen using plasma. Our results indicate that DBS may represent a feasible alternative to plasma for drug resistance testing in treated individuals.

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.

BackgroundDried 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°C for prolonged periods (0.5–4 years). Here, we evaluated the efficiency of genotyping from DBSs stored at 4°C for 1 year.MethodsA total of 40 DBSs were prepared from residual diagnostic specimens collected from HIV subtype B-infected persons and were stored with desiccant at 4°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.ResultsUsing 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.ConclusionsWe show that drug resistance genotyping from DBSs stored at 4°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°C may represent a suitable temperature for long-term storage of DBSs.

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.

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.

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.

.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. T he introduction of highly active antiretroviral therapy (HAART) has transformed the prognosis of HIV-positive patients, with dramatic improvements in survival. However, selection for drug resistance still represents a major challenge and promotes switches in therapeutic regimens for a substantial proportion of patients (3). Virologic failure with some antiretroviral drugs is associated with cross-resistance to agents within the same family, limiting rescue therapeutic options (16). Nevirapine and efavirenz are good examples of crossresistance between members of the same drug family, almost completely sharing resistance patterns. To a lesser extent, this also occurs with failures of some protease inhibitors (12) and nucleoside analogues.Integrase inhibitors (INIs) are a new and promising drug family for the treatment of HIV infection. Raltegravir (RAL) is the first-in-class approved drug for clinical use in both treatmentnaïve (11) and treatment-experienced (19) individuals. Elvitegravir (EVG) will most likely be the second INI compound to be marketed (4). Resistance to INIs has been shown to be driven by changes located mainly in the central domain of the viral integrase. The results of clinical trials and clinical experience have highlighted that failure on RAL-containing regimens is generally driven by the selection of the mutations Y143RHC, Q148HRK, and/or N155H, often accompanied by secondary changes (G140SA, E138K, and L74M, etc.) (2). However, a relatively high proportion of patients does not show such changes upon virologic failure on RAL-containing regimens. Although unidentified resistance mutations might exist, a recent report highlighted that the absence of INI resistance mutations in these individuals is explained mainly by poor drug compliance, given that RAL plasma levels were undetectable in most of them (6).Information about resistance to EVG in vivo is scarce. In the phase II GS-US-183-105 study (13), 28 individuals failed EVG after 24 weeks of treatment. Overall, 39% of them selected the E92Q mutation, 32% selected the Q148HRK mutation, and 25% selected the N155H mutation. Accordingly, broad cross-resistance between RAL and EVG should be expected. The aim of our study was to characterize RAL phenotypic susceptibilities in samples from a group of patients experiencing RAL failure, exploring whether mutations not previously involved in RAL resistance might be recognized and the extent of phenotypic cross-resistance to EVG. MATERIALS AND METHODSStudy population. HIV-1-infected individuals treated at several clinics in Spain who experienced virological failure on a RAL-containing antiretroviral regimen were identified during 2009. Virological failure was defined...

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.