Co-evolution of a broadly neutralizing HIV-1 antibody and founder virus.
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2013-04-25
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Abstract
Current human immunodeficiency virus-1 (HIV-1) vaccines elicit strain-specific neutralizing antibodies. However, cross-reactive neutralizing antibodies arise in approximately 20% of HIV-1-infected individuals, and details of their generation could provide a blueprint for effective vaccination. Here we report the isolation, evolution and structure of a broadly neutralizing antibody from an African donor followed from the time of infection. The mature antibody, CH103, neutralized approximately 55% of HIV-1 isolates, and its co-crystal structure with the HIV-1 envelope protein gp120 revealed a new loop-based mechanism of CD4-binding-site recognition. Virus and antibody gene sequencing revealed concomitant virus evolution and antibody maturation. Notably, the unmutated common ancestor of the CH103 lineage avidly bound the transmitted/founder HIV-1 envelope glycoprotein, and evolution of antibody neutralization breadth was preceded by extensive viral diversification in and near the CH103 epitope. These data determine the viral and antibody evolution leading to induction of a lineage of HIV-1 broadly neutralizing antibodies, and provide insights into strategies to elicit similar antibodies by vaccination.
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Liao, Hua-Xin, Rebecca Lynch, Tongqing Zhou, Feng Gao, S Munir Alam, Scott D Boyd, Andrew Z Fire, Krishna M Roskin, et al. (2013). Co-evolution of a broadly neutralizing HIV-1 antibody and founder virus. Nature, 496(7446). pp. 469–476. 10.1038/nature12053 Retrieved from https://hdl.handle.net/10161/10902.
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Kevin J Wiehe
Dr. Kevin Wiehe is the director of research, director of computational biology and co-director of the Quantitative Research Division at the Duke Human Vaccine Institute (DHVI). He has over 20 years of experience in the field of computational biology and has expertise in computational structural biology, computational genomics, and computational immunology.
For the past decade, he has applied his unique background to developing computational approaches for studying the B cell response in both the infection and vaccination settings. He has utilized his expertise in computational structural biology to structurally model and characterize HIV and influenza antibody recognition. Dr. Wiehe has utilized his expertise in computational genomics and computational immunology to develop software to analyze large scale next generation sequencing data of antibody repertoires as well as develop computational programs for estimating antibody mutation probabilities. Dr. Wiehe has shown that low probability antibody mutations can act as rate-limiting steps in the development of broadly neutralizing antibodies in HIV.
Through his PhD, postdoc work, and now his roles at DHVI, Dr. Wiehe always approaches the analysis and the scientific discovery process from a structural biology perspective. Supporting the Duke Center for HIV Structural Biology (DCHSB), Dr. Wiehe will conduct antibody sequence analysis for antibodies used in computational and molecular modeling analyses conducted.
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