HIV-1 Adaptation to Antigen Processing Results in Population-Level Immune Evasion and Affects Subtype Diversification

Research output: Contribution to journalJournal articleResearchpeer-review

  • Stefan Tenzer
  • Hayley Crawford
  • Phillip Pymm
  • Robert Gifford
  • Vattipally B Sreenu
  • Mirjana Weimershaus
  • Tulio de Oliveira
  • Anne Burgevin
  • Gerstoft, Jan
  • Nadja Akkad
  • Daniel Lunn
  • Fugger, Lars
  • John Bell
  • Hansjörg Schild
  • Peter van Endert
  • Astrid K N Iversen
The recent HIV-1 vaccine failures highlight the need to better understand virus-host interactions. One key question is why CD8(+) T cell responses to two HIV-Gag regions are uniquely associated with delayed disease progression only in patients expressing a few rare HLA class I variants when these regions encode epitopes presented by ~30 more common HLA variants. By combining epitope processing and computational analyses of the two HIV subtypes responsible for ~60% of worldwide infections, we identified a hitherto unrecognized adaptation to the antigen-processing machinery through substitutions at subtype-specific motifs. Multiple HLA variants presenting epitopes situated next to a given subtype-specific motif drive selection at this subtype-specific position, and epitope abundances correlate inversely with the HLA frequency distribution in affected populations. This adaptation reflects the sum of intrapatient adaptations, is predictable, facilitates viral subtype diversification, and increases global HIV diversity. Because low epitope abundance is associated with infrequent and weak T cell responses, this most likely results in both population-level immune evasion and inadequate responses in most people vaccinated with natural HIV-1 sequence constructs. Our results suggest that artificial sequence modifications at subtype-specific positions in vitro could refocus and reverse the poor immunogenicity of HIV proteins.
Original languageEnglish
JournalCell Reports
Volume7
Issue number2
Pages (from-to)448-463
Number of pages16
DOIs
Publication statusPublished - 24 Apr 2014

    Research areas

  • Adaptation, Physiological, Africa, Southern, Amino Acid Sequence, Epitopes, Europe, Gene Frequency, HIV Infections, HIV-1, HLA-A1 Antigen, Humans, Immune Evasion, Molecular Sequence Data, Population, T-Lymphocytes

ID: 138546286