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CD8 T-cell Responses to Computationally Derived HIV Vaccine Constructs in an HIV-1B-infected Cohort
David Nickle*1, N Frahm2, M Rolland1, N Jojic3, C Brander2, J Mullins1, D Heckerman2,4, and D Heckerman2,4
1Univ of Washington Sch of Med, Seattle, US; 2Massachusetts Gen Hosp, Charlestown, US; 3Microsoft Res, Redmond, WA, US; and 4Univ of Washington, Seattle, US
Background: One of the most difficult problems facing the development
of an effective HIV vaccine is the sequence diversity found in circulating
strains. We hypothesize that any antigen sequence that embodies shared features
of circulating viruses would be more broadly reactive than any single
circulating virus or lab strain. We developed novel methods that capture
protein fragments that are at high frequency in the population, and then
compress them into short constructs, COT+. We tested such a
construct for level of in vitro
immunogenicity using the highly
variable and cytotoxic T lymphocyte (CTL) -rich HIV Nef protein.
Methods: We tested our COT+ construct against the
“3-Best” natural variants and a consensus sequence of clade B HIV-1 sequences
from the Los Alamos National Laboratory (LANL) HIV database. We synthesized a
comprehensive set of 10-mer peptides corresponding to our construct, the 3-Best
variants, and the HIV-1B consensus sequence from the LANL HIV database. The
3-Best combination was developed by searching the LANL HIV database for the 3
variants that cover the most diversity. T-cell reactivity ex vivo elicited by these test sets was assessed by interferon-gamma
(IFN-g) ELISpot assays in a cohort of 27 HIV-1B-infected persons.
Results: We found roughly the same number of responses using the
3-Best test set as there was from our synthetic construct. Specifically, of the
944 unique 10-mers derived from the 3 sequences, 561 peptides were found in our
construct, 522 in the 3-Best, and 197 in the consensus. We detected 221
responses from our construct, 200 from 3-Best, and 95 from consensus.
Conclusions: Despite the differences of the 3 constructs, all 3
sequences showed comparable immunogenicity. Detailed statistical analysis has
identified cross reactivity as a likely explanation for the nearly equal
coverage. Specifically, a peptide that is rare in the viral population, and
thus unlikely to create a response directly, tends to react frequently when it
differs from a common peptide by 1 or 2 amino acids. Specifically, cross
reactivity is more likely when the amino acid changes are conservative and not
at anchor positions. For example, peptide SRLAFHHVAR occurs in 42% of all wild strains of HIV-1 subtype B, while
the peptide SRLAIHHMAR occurs in 1%;
yet the same 9 individuals respond to both at approximately the same magnitude.
Thus, the inclusion of multiple segments of well-chosen viral sequences can
enhance cross reactivity and thereby immunogenicity of vaccine candidates.
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