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Publication Detail
Examining the non-linear relationship between monoclonal antiphospholipid antibody sequence, structure and function.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Journal Article
  • Authors:
    Giles I, Lambrianides A, Rahman A
  • Publication date:
    10/2008
  • Pagination:
    895, 903
  • Journal:
    Lupus
  • Volume:
    17
  • Issue:
    10
  • Status:
    Published
  • Country:
    England
  • Print ISSN:
    0961-2033
  • PII:
    17/10/895
  • Language:
    eng
  • Keywords:
    Antibodies, Antiphospholipid, Antiphospholipid Syndrome, Binding Sites, Antibody, Humans, Phospholipids, Thrombosis, beta 2-Glycoprotein I
Abstract
In the antiphospholipid syndrome (APS), pathogenic antiphospholipid antibodies (aPL) that cause thrombosis or pregnancy morbidity are characterized by binding to anionic phospholipids (PL) and beta2-glycoprotein I (beta(2)GPI). Sequence analysis of human monoclonal aPL has shown that high affinity for these antigens is associated with the presence of three particular amino acids: arginine (Arg), asparagine and lysine in the complementarity determining regions (CDRs) of their heavy and light chains. In vitro expression systems have been used to create variants of the antibodies in which these amino acids have been altered. In general, removal of Arg residues reduces affinity for anionic PL and beta(2)GPI. Arg at different positions in the sequence, however, have different effects on binding affinity and effects on binding are not always mirrored by effects on pathogenicity. This review will focus upon the sequence motifs that have been found to distinguish pathogenic from non-pathogenic aPL, and whether these or other properties may help to identify distinct pathogenic subsets of aPL. In particular, we will focus on our recent work in which we are trying to develop a better understanding of the molecular mechanisms involved in activation of target cells by pathogenic aPL. These studies, together with molecular models of antigen/antibody complexes, help us to understand exactly how pathogenic antibodies interact with antigens. Ultimately, this understanding may aid the design of more powerful diagnostic/prognostic assays and targeted therapeutic agents to block the pathogenic effects of these antibodies.
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