| Literature DB >> 25800131 |
Gwo-Yu Chuang1, Baoshan Zhang1, Krisha McKee1, Sijy O'Dell1, Young Do Kwon1, Tongqing Zhou1, Julie Blinn2, Krissey Lloyd2, Robert Parks2, Tarra Von Holle2, Sung-Youl Ko1, Wing-Pui Kong1, Amarendra Pegu1, Keyun Wang1, Kavitha Baruah3, Max Crispin3, John R Mascola1, M Anthony Moody2, Barton F Haynes2, Ivelin S Georgiev1, Peter D Kwong1.
Abstract
Antibody polyreactivity can be an obstacle to translating a candidate antibody into a clinical product. Standard tests such as antibody binding to cardiolipin, HEp-2 cells, or nuclear antigens provide measures of polyreactivity, but its causes and the means to resolve are often unclear. Here we present a method for eliminating antibody polyreactivity through the computational design and genetic addition of N-linked glycosylation near known sites of polyreactivity. We used the HIV-1-neutralizing antibody, VRC07, as a test case, since efforts to increase VRC07 potency at three spatially distinct sites resulted in enhanced polyreactivity. The addition of N-linked glycans proximal to the polyreactivity-enhancing mutations at each of the spatially distinct sites resulted in reduced antibody polyreactivity as measured by (i) anti-cardiolipin ELISA, (ii) Luminex AtheNA Multi-Lyte ANA binding, and (iii) HEp-2 cell staining. The reduced polyreactivity trended with increased antibody concentration over time in mice, but not with improved overall protein stability as measured by differential scanning calorimetry. Moreover, glycan proximity to the site of polyreactivity appeared to be a critical factor. The results provide evidence that antibody polyreactivity can result from local, rather than global, features of an antibody and that addition of N-linked glycosylation can be an effective approach to reducing antibody polyreactivity.Entities:
Keywords: antibody engineering; bioinformatics; broadly neutralizing antibody; glycan engineering; polyreactivity
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Year: 2015 PMID: 25800131 PMCID: PMC4456115 DOI: 10.1002/pro.2682
Source DB: PubMed Journal: Protein Sci ISSN: 0961-8368 Impact factor: 6.725