HIV-2 A-subtype gp125c₂-v₃-c₃ mutations and their association with CCR5 and CXCR4 tropism

HIV-1 B-subtype capsid protein: a characterization of amino acid's conservation and its significant association with integrase signatures

The HIV-1 pre-integration phase and the subsequent integration of viral genome to the host of nuclear chromosomes are not well analyzed so far. Many studies are discussing the question of pre- and post-nuclear viral entry which is to support the assumption that HIV-1 integrase (IN) is maintained in the volume of intact conical structure's capsids through HIV entry. The aim of the current study is to identify the prevalence of capsid's (CA) signatures among drug-naïve and antiretroviral (ARV)-treated patients in a cohort of 827 HIV-1 B-subtype-infected individuals, and subsequently the relationship between IN and CA amino acid's changes was evaluated. These analyses suggest a conceivable co-evolution of IN-CA sequences, especially in relation to steps of nuclear viral entry. The frequency of mutations was calculated, and statistically has been compared between treatment-naïve and ARV-treated patients. The binomial correlation coefficient was used to assess covariation among CA and IN mutations; then, the average linkage hierarchical agglomerative clustering was performed. The results show a detailed conservation of HIV-1 CA protein both in drug-naïve and in ARV-treated patients. Moreover, the specific CA substitutions are significantly associated with different IN signatures at the amino acid level and the topology of the dendrogram has revealed the existence of two strong sub-clusters associated with hypothetical different mutational pathways. The in vitro and in vivo studies are necessary to exclude the hypothetical statistical false positive results and in order to confirm that some CA amino acid signatures are going to establish specific and precise implication in the HIV life cycle.

HIV-2 and its role in conglutinated approach towards Acquired Immunodeficiency Syndrome (AIDS) Vaccine Development

Acquired Immunodeficiency Syndrome (AIDS) is one of the most critically acclaimed endemic diseases, caused by two lentiviruses HIV-1 and 2. HIV-2 displays intimate serological and antigenic resemblance to Simian Immunodeficiency Virus (SIV) along with less pathogenicity, lower infectivity and appreciable cross reactivity with HIV-1 antigens. The present era is confronted with the challenge to fabricate a vaccine effective against all clades of both the species of HIV. But vaccine development against HIV-1 has proven highly intricate, moreover the laborious and deficient conventional approaches has slackened the pace regarding the development of new vaccines. These concerns may be tackled with the development of HIV-2 vaccine as a natural control of HIV-1 that has been found in ancestors of HIV-2 i.e. African monkeys, mangabeys and macaques. Thereby, suggesting the notion of cross protection among HIV-2 and HIV-1. Assistance of bioinformatics along with vaccinomics strategy can bring about a quantum leap in this direction for surpassing the bottleneck in conventional approaches. These specifics together can add to our conception that HIV-2 vaccine design by in silico strategy will surely be a constructive approach for HIV-1 targeting.

Specific VpU codon changes were significantly associated with gp120 V3 tropic signatures in HIV-1 B-subtype

After infection and integration steps, HIV-1 transcriptions increase sharply and singly-spliced mRNAs are produced. These encode Env (gp120 and gp41) and auxiliary proteins Vif, Vpr and VpU. The same localization within the unique structure of the mRNAs suggests that the VpU sequence prior to the Env could affect the Env polyprotein expression.The HIV-1 infection process begins when the gp120 subunit of the envelope glycoprotein complex interacts with its receptor(s) on the target cell. The V3 domain of gp120 is the major determinant of cellular co-receptor binding. According to phenotypic information of HIV-1 isolates, sequences from the VpU to V3 regions (119 in R5- and 120 X4-tropic viruses; one per patient) were analysed. The binomial correlation phi coefficient was used to assess covariation among VpU and gp120(V3) signatures. Subsequently, average linkage hierarchical agglomerative clustering was performed. Beyond the classical V3 signatures (R5-viruses: S11, E25D; X4-viruses: S11KR, E25KRQ), other specific V3 and novel VpU signatures were found to be statistically associated with co-receptor usage. Several statistically significant associations between V3 and VpU mutations were also observed. The dendrogram showed two distinct large clusters: one associated with R5-tropic sequences (bootstrap=0.94), involving: (a) H13NP(V3), E25D(V3), S11(V3), T22A(V3) and Q61H(VpU), (b) E25A(V3) and L12F(VpU), (c) D44E(VpU), R18Q(V3) and D80N(VpU); and another associated with X4-tropic sequences (bootstrap=0.97), involving: (i) E25I(V3) and V10A(VpU), (ii) 0-1insV(VpU), H13R(V3), I46L(VpU), I30M(V3) and 60-62del(VpU), (iii) S11KR(V3) and E25KRQ(V3). Some of these pairs of mutations were encoded always by one specific codon. These data indicate the possible VpU mutational patterns contributing to regulation of HIV-1 tropism.

Selected amino acid changes in HIV-1 subtype-C gp41 are associated with specific gp120(V3) signatures in the regulation of co-receptor usage

The majority of studies have characterized the tropism of HIV-1 subtype-B isolates, but little is known about the determinants of tropism in other subtypes. So, the goal of the present study was to genetically characterize the envelope of viral proteins in terms of co-receptor usage by analyzing 356 full-length env sequences derived from HIV-1 subtype-C infected individuals. The co-receptor usage of V3 sequences was inferred by using the Geno2Pheno and PSSM algorithms, and also analyzed to the "11/25 rule". All reported env sequences were also analyzed with regard to N-linked glycosylation sites, net charge and hydrophilicity, as well as the binomial correlation phi coefficient to assess covariation among gp120(V3) and gp41 signatures and the average linkage hierarchical agglomerative clustering were also performed. Among env sequences present in Los Alamos Database, 255 and 101 sequences predicted as CCR5 and CXCR4 were selected, respectively. The classical V3 signatures at positions 11 and 25, and other specific V3 and gp41 amino acid changes were found statistically associated with different co-receptor usage. Furthermore, several statistically significant associations between V3 and gp41 signatures were also observed. The dendrogram topology showed a cluster associated with CCR5-usage composed by five gp41 mutated positions, A22V, R133M, E136G, N140L, and N166Q that clustered with T2V(V3) and G24T(V3) (bootstrap=1). Conversely, a heterogeneous cluster with CXCR4-usage, involving S11GR(V3), 13-14insIG/LG(V3), P16RQ(V3), Q18KR(V3), F20ILV(V3), D25KRQ(V3), Q32KR(V3) along with A30T(gp41), S107N(gp41), D148E(gp41), A189S(gp41) was identified (bootstrap=0.86). Our results show that as observed for HIV-1 subtype-B, also in subtype-C specific and different gp41 and gp120V3 amino acid changes are associated individually or together with CXCR4 and/or CCR5 usage. These findings strengthen previous observations that determinants of tropism may also reside in the gp41 protein.