In patients failing cART with LLV, HIV-1 genotyping provides reliable and reproducible results that are informative about emerging drug resistance.

Background: We tested whether pre-HAART viraemia affects the achievement and maintenance of virological success in HIV-1-infected patients starting modern firstline therapies. Methods: A total of 1,430 patients starting their first HAART (genotype-tailored) in 2008 (median; IQR: 2006-2009) were grouped according to levels of pre-HAART viraemia (≤30,000, 30,001-100,000, 100,001-300,000, 300,001-500,000 and >500,000 copies/ml). The impact of pre-therapy viraemia on the time to virological success (viraemia ≤50 copies/ml) and on the time to virological rebound (first of two consecutive viraemia values >50 copies/ml after virological success) were evaluated by Kaplan-Meier curves and Cox regression analyses. Results: Median pre-HAART viraemia was 5.1 log 10 copies/ml (IQR 4.5-5.5), and 53% of patients had viraemia >100,000 copies/ml. By week 48, the prevalence of patients reaching virological success was >90% in all pre-HAART viraemia ranges, with the only exception of range >500,000 copies/ml (virological success =83%; P<0.001). Higher pre-HAART viraemia was tightly correlated with longer median time to achieve virological success. Cox multivariable estimates confirmed this result: patients with pre-HAART viraemia >500,000 copies/ml showed the lowest hazard of virological undetectability after adjusting for age, gender, pre-HAART CD4 + T-cell count, transmitted drug resistance, calendar year and third drug administered (adjusted hazard ratio [95% CI]: 0.27 [0.21, 0.35]; P<0.001). Pre-HAART viraemia >500,000 copies/ml was also associated with higher probability of virological rebound compared with patients belonging to lower viraemia strata at weeks 4, 12 and 24 (P=0.050). Conclusions: At the time of modern HAART, and even though an average >90% of virological success, high pre-HAART viraemia remains an independent factor associated with delayed and decreased virological success. Patients starting HAART with >500,000 copies/ml represent a significant population that may deserve special attention.HAART has significantly extended the time to development of AIDS and to death in HIV-infected individuals [1,2]. Its efficacy in suppression of plasma HIV-1 RNA to undetectable levels, and in increasing CD4 + T-cell count, is well documented in several clinical trials [3][4][5][6].Despite years of great progress in treating AIDS, however, in some patients starting their first treatment; the effectiveness of HAART is still not sufficient, with consequent virological failures [7][8][9]. These failures can be caused by several factors, such as drug potency, drug

UDPS combined with genotypic algorithms for prediction of HIV-1 co-receptor usage may provide quantitative data about the tropism of each variant present in the viral quasispecies. The aim of the present study was to assess co-receptor usage by ultra-deep pyrosequencing (UDPS), in comparison with the reference phenotypic test (Trofile), in patients who are candidates for CCR5 antagonist treatment, in both circulating and proviral HIV-1. Seventeen patients who were tested by Trofile were enrolled. UDPS of the V3 loop region was carried out on both plasma RNA and proviral DNA. Genotypic prediction of co-receptor usage was established by position-specific score matrices (PSSM) and confirmed, in discordant cases, with geno2pheno. Genetic heterogeneity of the RNA and DNA quasispecies was assessed as well. A total of 196,729 V3 sequences were considered (mean coverage per site, 6346). Concordance between phenotypic test and UDPS with PSSM was 0.82. Geno2pheno results were in line with those obtained with PSSM. Proviral quasispecies were more heterogeneous than those found in circulating HIV. In most patients eligible for CCR5 antagonist treatment, X4 variants were detected in proviral DNA, ranging from 1.0% to 52.7%. UDPS combined with genotypic algorithms for co-receptor usage prediction highlighted the presence of minority variants, with a discordant tropism with respect to the predominant population, in both circulating viral and proviral HIV. In most patients treated with Maraviroc the virological response was independent of the presence of X4 in proviral DNA. The clinical impact of minority X4 variants present in patients who are candidates for anti-CCR5 antagonists remains a crucial point to be addressed.

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The gp41-encoding sequence of the env gene contains in two separate regions the Rev-responsive elements (RRE) and the alternative open reading frame of the second exon of the regulatory protein Rev. The binding of Rev to the RRE allows the transport of unspliced/singly spliced viral mRNAs out of the nucleus, an essential step in the life cycle of human immunodeficiency virus type 1 (HIV-1). In this study, we have investigated whether the fusion-inhibitor enfuvirtide (ENF) can induce mutations in Rev and if these mutations correlate with the classical ENF resistance gp41 mutations and with viremia and CD4 cell count. Specific Rev mutations were positively associated with ENF treatment and significantly correlated with classical ENF resistance gp41 mutations. In particular, a cluster was observed for the Rev mutations E57A (E57A rev ) and N86S rev with the ENF resistance gp41 mutations Q40H (Q40H gp41 ) and L45M gp41 . In addition, the presence at week 48 of the E57A rev correlates with a significant viremia increase from baseline to week 48 and with a CD4 cell count loss from baseline to week 48. By modeling the RRE structure, we found that the Q40 gp41 and L45 gp41 codons form complementary base pairs in a region of the RRE involved in Rev binding. The conformation of this Revbinding site is disrupted when Q40H gp41 and L45M gp41 occur alone while it is restored when both mutations are present. In conclusion, our study shows that ENF pressure may also affect both Rev and RRE structures and can provide an excellent example of compensatory evolution. This highlights the multiple roles of ENF (and perhaps other entry inhibitors) in modulating the correct interplay between the different HIV-1 genes and proteins during the HIV-1 life cycle.Retroviruses, such as human immunodeficiency virus (HIV), employ a variety of different overlapping reading frames and splicing events to express a large array of messenger RNAs (mRNAs) (over 30) and proteins (at least 15) from a single primary transcript (5). The HIV type 1 (HIV-1) RNA sequence contains at least four different 5Ј splice sites and eight different 3Ј splice sites that are used alternatively (28, 32, 34). During HIV-1 replication cycle, three groups of viral mRNAs are produced (Fig. 1). One group includes the doubly spliced 2-kb transcripts that encode the regulatory proteins Tat, Rev, and Nef (32). Another group includes the singly spliced mRNAs of approximately 4 kb that serve for the production of Vif, Vpr, Vpu, and Env proteins (gp120 and gp41). The last group includes the 9-kb unspliced mRNAs that encode the Gag and Gag-Pol polyprotein products and serve as genomic RNA for packaging into virions (32, 34). The doubly spliced mRNAs are produced early and are transported out of the nucleus into the cytoplasm by the ordinary cell machinery. In contrast, the export of the singly spliced and unspliced viral mRNAs from the nucleus to the cytoplasm is mediated by the interaction between the regulatory protein Rev and a nucleotide RNA sequence named Rev-responsive elemen...