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Comprehensive Profiling of HIV Antibody Evolution
This study evaluates HIV antibody responses and their evolution during the course of HIV infection. A phage display system is used to characterize antibody binding to >3,300 HIV peptides in 57 adults with early- to late-stage infection. We find that the number of unique epitopes targeted (“antibo...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519133/ https://www.ncbi.nlm.nih.gov/pubmed/31042470 http://dx.doi.org/10.1016/j.celrep.2019.03.097 |
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author | Eshleman, Susan H. Laeyendecker, Oliver Kammers, Kai Chen, Athena Sivay, Mariya V. Kottapalli, Sanjay Sie, Brandon M. Yuan, Tiezheng Monaco, Daniel R. Mohan, Divya Wansley, Daniel Kula, Tomasz Morrison, Charles Elledge, Stephen J. Brookmeyer, Ron Ruczinski, Ingo Larman, H. Benjamin |
author_facet | Eshleman, Susan H. Laeyendecker, Oliver Kammers, Kai Chen, Athena Sivay, Mariya V. Kottapalli, Sanjay Sie, Brandon M. Yuan, Tiezheng Monaco, Daniel R. Mohan, Divya Wansley, Daniel Kula, Tomasz Morrison, Charles Elledge, Stephen J. Brookmeyer, Ron Ruczinski, Ingo Larman, H. Benjamin |
author_sort | Eshleman, Susan H. |
collection | PubMed |
description | This study evaluates HIV antibody responses and their evolution during the course of HIV infection. A phage display system is used to characterize antibody binding to >3,300 HIV peptides in 57 adults with early- to late-stage infection. We find that the number of unique epitopes targeted (“antibody breadth”) increases early in infection and then stabilizes or declines. A decline in antibody breadth 9 months to 2 years after infection is associated with subsequent antiretroviral treatment (ART) initiation, and a faster decline in antibody breadth is associated with a shorter time to ART initiation. We identify 266 peptides with increasing antibody reactivity over time and 43 peptides with decreasing reactivity over time. These data are used to design a prototype four-peptide “serosignature” to predict duration of HIV infection. We also demonstrate that epitope engineering can be used to optimize peptide binding properties for applications such as cross-sectional HIV incidence estimation. |
format | Online Article Text |
id | pubmed-6519133 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-65191332019-05-15 Comprehensive Profiling of HIV Antibody Evolution Eshleman, Susan H. Laeyendecker, Oliver Kammers, Kai Chen, Athena Sivay, Mariya V. Kottapalli, Sanjay Sie, Brandon M. Yuan, Tiezheng Monaco, Daniel R. Mohan, Divya Wansley, Daniel Kula, Tomasz Morrison, Charles Elledge, Stephen J. Brookmeyer, Ron Ruczinski, Ingo Larman, H. Benjamin Cell Rep Article This study evaluates HIV antibody responses and their evolution during the course of HIV infection. A phage display system is used to characterize antibody binding to >3,300 HIV peptides in 57 adults with early- to late-stage infection. We find that the number of unique epitopes targeted (“antibody breadth”) increases early in infection and then stabilizes or declines. A decline in antibody breadth 9 months to 2 years after infection is associated with subsequent antiretroviral treatment (ART) initiation, and a faster decline in antibody breadth is associated with a shorter time to ART initiation. We identify 266 peptides with increasing antibody reactivity over time and 43 peptides with decreasing reactivity over time. These data are used to design a prototype four-peptide “serosignature” to predict duration of HIV infection. We also demonstrate that epitope engineering can be used to optimize peptide binding properties for applications such as cross-sectional HIV incidence estimation. 2019-04-30 /pmc/articles/PMC6519133/ /pubmed/31042470 http://dx.doi.org/10.1016/j.celrep.2019.03.097 Text en This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Eshleman, Susan H. Laeyendecker, Oliver Kammers, Kai Chen, Athena Sivay, Mariya V. Kottapalli, Sanjay Sie, Brandon M. Yuan, Tiezheng Monaco, Daniel R. Mohan, Divya Wansley, Daniel Kula, Tomasz Morrison, Charles Elledge, Stephen J. Brookmeyer, Ron Ruczinski, Ingo Larman, H. Benjamin Comprehensive Profiling of HIV Antibody Evolution |
title | Comprehensive Profiling of HIV Antibody Evolution |
title_full | Comprehensive Profiling of HIV Antibody Evolution |
title_fullStr | Comprehensive Profiling of HIV Antibody Evolution |
title_full_unstemmed | Comprehensive Profiling of HIV Antibody Evolution |
title_short | Comprehensive Profiling of HIV Antibody Evolution |
title_sort | comprehensive profiling of hiv antibody evolution |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6519133/ https://www.ncbi.nlm.nih.gov/pubmed/31042470 http://dx.doi.org/10.1016/j.celrep.2019.03.097 |
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