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Publications / Swetnam 2010 (PLOS ONE)

Overview

Publication

PLOS ONE. 2010 Dec 29; 5(12):e15994.

PubMed ID: 21209919

Title

Comparative magnitude of cross-strain conservation of HIV variable loop neutralization epitopes

Authors

Swetnam J, Shmelkov E, Zolla-Pazner S, Cardozo T

Abstract

Although the sequence variable loops of the human immunodeficiency virus' (HIV-1) surface envelope glycoprotein (gp120) can exhibit good immunogenicity, characterizing conserved (invariant) cross-strain neutralization epitopes within these loops has proven difficult. We recently developed a method to derive sensitive and specific signature motifs for the three-dimensional (3D) shapes of the HIV-1 neutralization epitopes in the third variable (V3) loop of gp120 that are recognized by human monoclonal antibodies (mAbs). We used the signature motif method to estimate the conservation of these epitopes across circulating worldwide HIV-1 strains. The epitope targeted by the anti-V3 loop neutralizing mAb 3074 is present in 87% of circulating strains, distributed nearly evenly among all subtypes. The results for other anti-V3 Abs are: 3791, present in 63% of primarily non-B subtypes; 2219, present in 56% of strains across all subtypes; 2557, present in 52% across all subtypes; 447-52D, present in 11% of primarily subtype B strains; 537-10D, present in 9% of primarily subtype B strains; and 268-D, present in 5% of primarily subtype B strains. The estimates correlate with in vitro tests of these mAbs against diverse viral panels. The mAb 3074 thus targets an epitope that is nearly completely conserved among circulating HIV-1 strains, demonstrating the presence of an invariant structure hidden in the dynamic and sequence-variable V3 loop in gp120. Since some variable loop regions are naturally immunogenic, designing immunogens to mimic their conserved epitopes may be a promising vaccine discovery approach. Our results suggest one way to quantify and compare the magnitude of the conservation.

With the publicly available data in the CAVD DataSpace we can Learn about studies, products, assays, antibodies, and publications, Find subjects with common characteristics, Plot assay results across studies and years of research, and Compare monoclonal antibodies and their neutralization curves. Data are also accessible via DataSpaceR, our R API.

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