Human immunodeficiency virus-specific gamma interferon enzyme-linked immunospot assay responses targeting specific regions of the proteome during primary subtype C infection are poor predictors of the course of viremia and set point.

It is unknown whether patterns of human immunodeficiency virus (HIV)-specific T-cell responses during acute infection may influence the viral set point and the course of disease. We wished to establish whether the magnitude and breadth of HIV type 1 (HIV-1)-specific T-cell responses at 3 months postinfection were correlated with the viral-load set point at 12 months and hypothesized that the magnitude and breadth of HIV-specific T-cell responses during primary infection would predict the set point. Gamma interferon (IFN-gamma) enzyme-linked immunospot (ELISPOT) assay responses across the complete proteome were measured in 47 subtype C HIV-1-infected participants at a median of 12 weeks postinfection. When corrected for amino acid length and individuals responding to each region, the order of recognition was as follows: Nef > Gag > Pol > Rev > Vpr > Env > Vpu > Vif > Tat. Nef responses were significantly (P < 0.05) dominant, targeted six epitopic regions, and were unrelated to the course of viremia. There was no significant difference in the magnitude and breadth of responses for each protein region with disease progression, although there was a trend of increased breadth (mean, four to seven pools) in rapid progressors. Correlation of the magnitude and breadth of IFN-gamma responses with the viral set point at 12 months revealed almost zero association for each protein region. Taken together, these data demonstrate that the magnitude and breadth of IFN-gamma ELISPOT assay responses at 3 months postinfection are unrelated to the course of disease in the first year of infection and are not associated with, and have low predictive power for, the viral set point at 12 months.

Human leukocyte antigen class I (A, B, C) and II (DRB1) diversity in the black and Caucasian South African population.

A cross-section of black and Caucasian South Africans (N = 302) were genotyped at high resolution (class I HLA-A, -B, -C and class II HLA-DRB1). Five new class I alleles (A*30:01:02, A*30:02:02, A*68:27, B*42:06, and B*45:07) and one new confirmatory allele (A*29:11) were identified in the black population. Alleles and haplotypes showed expected differences between the black and Caucasian populations, with the black population, on average, showing a broader spectrum of allele representation (less single allele dominance). The most prevalent alleles at the four loci in the black population were A*30:01, B*58:02, C*06:02, and DRB1*13:01 and in the Caucasian population were A*02:01:01, B*07:02:01, C*07:01, and DRB1*03:01. HLA-B, and HLA-C loci showed the strongest overall linkage disequilibrium (LD) and HLA-B/HLA-C two locus haplotypes also showed the strongest LD (D'(ij)) in both population groups. Bw allotype representation was similar between the two populations; however C allotypes differed significantly (C1 higher representation in Caucasians; C2 higher representation in blacks). HLA-A Supertype family phenotypic frequencies did not differ between the two populations, but four (B08, B27, B58, and B62) HLA-B Supertype families differed significantly. However, vaccine coverage estimation came close to 100% in both population groups, with inclusion of only four Supertype families (A1, A2, B7, B58).

Novel and promiscuous CTL epitopes in conserved regions of Gag targeted by individuals with early subtype C HIV type 1 infection from southern Africa.

Characterization of optimal CTL epitopes in Gag can provide crucial information for evaluation of candidate vaccines in populations at the epicenter of the HIV-1 epidemic. We screened 38 individuals with recent subtype C HIV-1 infection using overlapping consensus C Gag peptides and hypothesized that unique HLA-restricting alleles in the southern African population would determine novel epitope identity. Seventy-four percent of individuals recognized at least one Gag peptide pool. Ten epitopic regions were identified across p17, p24, and p2p7p1p6, and greater than two-thirds of targeted regions were directed at: TGTEELRSLYNTVATLY (p17, 35%); GPKEPFRDYVDRFFKTLRAEQATQDV (p24, 19%); and RGGKLDKWEKIRLRPGGKKHYMLKHL (p17, 15%). After alignment of these epitopic regions with consensus M and a consensus subtype C sequence from the cohort, it was evident that the regions targeted were highly conserved. Fine epitope mapping revealed that five of nine identified optimal Gag epitopes were novel: HLVWASREL, LVWASRELERF, LYNTVATLY, PFRDYVDRFF, and TLRAEQATQD, and were restricted by unique HLA-Cw*08, HLA-A*30/B*57, HLA-A*29/B*44, and HLA-Cw*03 alleles, respectively. Notably, three of the mapped epitopes were restricted by more than one HLA allele. Although these epitopes were novel and restricted by unique HLA, they overlapped or were embedded within previously described CTL epitopes from subtype B HIV-1 infection. These data emphasize the promiscuous nature of epitope binding and support our hypothesis that HLA diversity between populations can shape fine epitope identity, but may not represent a constraint for universal recognition of Gag in highly conserved domains.