Comprehensive Profiling of HIV Antibody Evolution

Summary: 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...
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Autor*in:	Susan H. Eshleman [verfasserIn] Oliver Laeyendecker [verfasserIn] Kai Kammers [verfasserIn] Athena Chen [verfasserIn] Mariya V. Sivay [verfasserIn] Sanjay Kottapalli [verfasserIn] Brandon M. Sie [verfasserIn] Tiezheng Yuan [verfasserIn] Daniel R. Monaco [verfasserIn] Divya Mohan [verfasserIn] Daniel Wansley [verfasserIn] Tomasz Kula [verfasserIn] Charles Morrison [verfasserIn] Stephen J. Elledge [verfasserIn] Ron Brookmeyer [verfasserIn] Ingo Ruczinski [verfasserIn] H. Benjamin Larman [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2019

Übergeordnetes Werk:	In: Cell Reports - Elsevier, 2015, 27(2019), 5, Seite 1422-1433.e4
Übergeordnetes Werk:	volume:27 ; year:2019 ; number:5 ; pages:1422-1433.e4

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.celrep.2019.03.097

Katalog-ID:	DOAJ02845295X

Internformat


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520			\|a Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes
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700	0		\|a Mariya V. Sivay \|e verfasserin \|4 aut
700	0		\|a Sanjay Kottapalli \|e verfasserin \|4 aut
700	0		\|a Brandon M. Sie \|e verfasserin \|4 aut
700	0		\|a Tiezheng Yuan \|e verfasserin \|4 aut
700	0		\|a Daniel R. Monaco \|e verfasserin \|4 aut
700	0		\|a Divya Mohan \|e verfasserin \|4 aut
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700	0		\|a Charles Morrison \|e verfasserin \|4 aut
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700	0		\|a Ron Brookmeyer \|e verfasserin \|4 aut
700	0		\|a Ingo Ruczinski \|e verfasserin \|4 aut
700	0		\|a H. Benjamin Larman \|e verfasserin \|4 aut
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Indexfelder

author_variant	s h e she o l ol k k kk a c ac m v s mvs s k sk b m s bms t y ty d r m drm d m dm d w dw t k tk c m cm s j e sje r b rb i r ir h b l hbl
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publishDate	2019
allfields	10.1016/j.celrep.2019.03.097 doi (DE-627)DOAJ02845295X (DE-599)DOAJ8c14e7e5d4564c0c94e406008899f3db DE-627 ger DE-627 rakwb eng QH301-705.5 Susan H. Eshleman verfasserin aut Comprehensive Profiling of HIV Antibody Evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes Biology (General) Oliver Laeyendecker verfasserin aut Kai Kammers verfasserin aut Athena Chen verfasserin aut Mariya V. Sivay verfasserin aut Sanjay Kottapalli verfasserin aut Brandon M. Sie verfasserin aut Tiezheng Yuan verfasserin aut Daniel R. Monaco verfasserin aut Divya Mohan verfasserin aut Daniel Wansley verfasserin aut Tomasz Kula verfasserin aut Charles Morrison verfasserin aut Stephen J. Elledge verfasserin aut Ron Brookmeyer verfasserin aut Ingo Ruczinski verfasserin aut H. Benjamin Larman verfasserin aut In Cell Reports Elsevier, 2015 27(2019), 5, Seite 1422-1433.e4 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:27 year:2019 number:5 pages:1422-1433.e4 https://doi.org/10.1016/j.celrep.2019.03.097 kostenfrei https://doaj.org/article/8c14e7e5d4564c0c94e406008899f3db kostenfrei http://www.sciencedirect.com/science/article/pii/S221112471930436X kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 27 2019 5 1422-1433.e4
spelling	10.1016/j.celrep.2019.03.097 doi (DE-627)DOAJ02845295X (DE-599)DOAJ8c14e7e5d4564c0c94e406008899f3db DE-627 ger DE-627 rakwb eng QH301-705.5 Susan H. Eshleman verfasserin aut Comprehensive Profiling of HIV Antibody Evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes Biology (General) Oliver Laeyendecker verfasserin aut Kai Kammers verfasserin aut Athena Chen verfasserin aut Mariya V. Sivay verfasserin aut Sanjay Kottapalli verfasserin aut Brandon M. Sie verfasserin aut Tiezheng Yuan verfasserin aut Daniel R. Monaco verfasserin aut Divya Mohan verfasserin aut Daniel Wansley verfasserin aut Tomasz Kula verfasserin aut Charles Morrison verfasserin aut Stephen J. Elledge verfasserin aut Ron Brookmeyer verfasserin aut Ingo Ruczinski verfasserin aut H. Benjamin Larman verfasserin aut In Cell Reports Elsevier, 2015 27(2019), 5, Seite 1422-1433.e4 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:27 year:2019 number:5 pages:1422-1433.e4 https://doi.org/10.1016/j.celrep.2019.03.097 kostenfrei https://doaj.org/article/8c14e7e5d4564c0c94e406008899f3db kostenfrei http://www.sciencedirect.com/science/article/pii/S221112471930436X kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 27 2019 5 1422-1433.e4
allfields_unstemmed	10.1016/j.celrep.2019.03.097 doi (DE-627)DOAJ02845295X (DE-599)DOAJ8c14e7e5d4564c0c94e406008899f3db DE-627 ger DE-627 rakwb eng QH301-705.5 Susan H. Eshleman verfasserin aut Comprehensive Profiling of HIV Antibody Evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes Biology (General) Oliver Laeyendecker verfasserin aut Kai Kammers verfasserin aut Athena Chen verfasserin aut Mariya V. Sivay verfasserin aut Sanjay Kottapalli verfasserin aut Brandon M. Sie verfasserin aut Tiezheng Yuan verfasserin aut Daniel R. Monaco verfasserin aut Divya Mohan verfasserin aut Daniel Wansley verfasserin aut Tomasz Kula verfasserin aut Charles Morrison verfasserin aut Stephen J. Elledge verfasserin aut Ron Brookmeyer verfasserin aut Ingo Ruczinski verfasserin aut H. Benjamin Larman verfasserin aut In Cell Reports Elsevier, 2015 27(2019), 5, Seite 1422-1433.e4 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:27 year:2019 number:5 pages:1422-1433.e4 https://doi.org/10.1016/j.celrep.2019.03.097 kostenfrei https://doaj.org/article/8c14e7e5d4564c0c94e406008899f3db kostenfrei http://www.sciencedirect.com/science/article/pii/S221112471930436X kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 27 2019 5 1422-1433.e4
allfieldsGer	10.1016/j.celrep.2019.03.097 doi (DE-627)DOAJ02845295X (DE-599)DOAJ8c14e7e5d4564c0c94e406008899f3db DE-627 ger DE-627 rakwb eng QH301-705.5 Susan H. Eshleman verfasserin aut Comprehensive Profiling of HIV Antibody Evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes Biology (General) Oliver Laeyendecker verfasserin aut Kai Kammers verfasserin aut Athena Chen verfasserin aut Mariya V. Sivay verfasserin aut Sanjay Kottapalli verfasserin aut Brandon M. Sie verfasserin aut Tiezheng Yuan verfasserin aut Daniel R. Monaco verfasserin aut Divya Mohan verfasserin aut Daniel Wansley verfasserin aut Tomasz Kula verfasserin aut Charles Morrison verfasserin aut Stephen J. Elledge verfasserin aut Ron Brookmeyer verfasserin aut Ingo Ruczinski verfasserin aut H. Benjamin Larman verfasserin aut In Cell Reports Elsevier, 2015 27(2019), 5, Seite 1422-1433.e4 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:27 year:2019 number:5 pages:1422-1433.e4 https://doi.org/10.1016/j.celrep.2019.03.097 kostenfrei https://doaj.org/article/8c14e7e5d4564c0c94e406008899f3db kostenfrei http://www.sciencedirect.com/science/article/pii/S221112471930436X kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 27 2019 5 1422-1433.e4
allfieldsSound	10.1016/j.celrep.2019.03.097 doi (DE-627)DOAJ02845295X (DE-599)DOAJ8c14e7e5d4564c0c94e406008899f3db DE-627 ger DE-627 rakwb eng QH301-705.5 Susan H. Eshleman verfasserin aut Comprehensive Profiling of HIV Antibody Evolution 2019 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes Biology (General) Oliver Laeyendecker verfasserin aut Kai Kammers verfasserin aut Athena Chen verfasserin aut Mariya V. Sivay verfasserin aut Sanjay Kottapalli verfasserin aut Brandon M. Sie verfasserin aut Tiezheng Yuan verfasserin aut Daniel R. Monaco verfasserin aut Divya Mohan verfasserin aut Daniel Wansley verfasserin aut Tomasz Kula verfasserin aut Charles Morrison verfasserin aut Stephen J. Elledge verfasserin aut Ron Brookmeyer verfasserin aut Ingo Ruczinski verfasserin aut H. Benjamin Larman verfasserin aut In Cell Reports Elsevier, 2015 27(2019), 5, Seite 1422-1433.e4 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:27 year:2019 number:5 pages:1422-1433.e4 https://doi.org/10.1016/j.celrep.2019.03.097 kostenfrei https://doaj.org/article/8c14e7e5d4564c0c94e406008899f3db kostenfrei http://www.sciencedirect.com/science/article/pii/S221112471930436X kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 27 2019 5 1422-1433.e4
language	English
source	In Cell Reports 27(2019), 5, Seite 1422-1433.e4 volume:27 year:2019 number:5 pages:1422-1433.e4
sourceStr	In Cell Reports 27(2019), 5, Seite 1422-1433.e4 volume:27 year:2019 number:5 pages:1422-1433.e4
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Biology (General)
isfreeaccess_bool	true
container_title	Cell Reports
authorswithroles_txt_mv	Susan H. Eshleman @@aut@@ Oliver Laeyendecker @@aut@@ Kai Kammers @@aut@@ Athena Chen @@aut@@ Mariya V. Sivay @@aut@@ Sanjay Kottapalli @@aut@@ Brandon M. Sie @@aut@@ Tiezheng Yuan @@aut@@ Daniel R. Monaco @@aut@@ Divya Mohan @@aut@@ Daniel Wansley @@aut@@ Tomasz Kula @@aut@@ Charles Morrison @@aut@@ Stephen J. Elledge @@aut@@ Ron Brookmeyer @@aut@@ Ingo Ruczinski @@aut@@ H. Benjamin Larman @@aut@@
publishDateDaySort_date	2019-01-01T00:00:00Z
hierarchy_top_id	684964562
id	DOAJ02845295X
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">DOAJ02845295X</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230307125124.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">230226s2019 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.celrep.2019.03.097</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)DOAJ02845295X</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)DOAJ8c14e7e5d4564c0c94e406008899f3db</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH301-705.5</subfield></datafield><datafield tag="100" ind1="0" ind2=" "><subfield code="a">Susan H. Eshleman</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Comprehensive Profiling of HIV Antibody Evolution</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2019</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Summary: This study evaluates HIV antibody responses and their evolution during the course of HIV infection. 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We also demonstrate that epitope engineering can be used to optimize peptide binding properties for applications such as cross-sectional HIV incidence estimation. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. 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callnumber-first	Q - Science
author	Susan H. Eshleman
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topic_title	QH301-705.5 Comprehensive Profiling of HIV Antibody Evolution
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title	Comprehensive Profiling of HIV Antibody Evolution
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title_full	Comprehensive Profiling of HIV Antibody Evolution
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author_browse	Susan H. Eshleman Oliver Laeyendecker Kai Kammers Athena Chen Mariya V. Sivay Sanjay Kottapalli Brandon M. Sie Tiezheng Yuan Daniel R. Monaco Divya Mohan Daniel Wansley Tomasz Kula Charles Morrison Stephen J. Elledge Ron Brookmeyer Ingo Ruczinski H. Benjamin Larman
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title_sort	comprehensive profiling of hiv antibody evolution
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title_auth	Comprehensive Profiling of HIV Antibody Evolution
abstract	Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes
abstractGer	Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes
abstract_unstemmed	Summary: 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. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. Keywords: antibody response to HIV, antibody profiling, HIV incidence, antibody biomarker, serosignature, immunodominant HIV epitopes
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title_short	Comprehensive Profiling of HIV Antibody Evolution
url	https://doi.org/10.1016/j.celrep.2019.03.097 https://doaj.org/article/8c14e7e5d4564c0c94e406008899f3db http://www.sciencedirect.com/science/article/pii/S221112471930436X https://doaj.org/toc/2211-1247
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author2	Oliver Laeyendecker Kai Kammers Athena Chen Mariya V. Sivay Sanjay Kottapalli Brandon M. Sie Tiezheng Yuan Daniel R. Monaco Divya Mohan Daniel Wansley Tomasz Kula Charles Morrison Stephen J. Elledge Ron Brookmeyer Ingo Ruczinski H. Benjamin Larman
author2Str	Oliver Laeyendecker Kai Kammers Athena Chen Mariya V. Sivay Sanjay Kottapalli Brandon M. Sie Tiezheng Yuan Daniel R. Monaco Divya Mohan Daniel Wansley Tomasz Kula Charles Morrison Stephen J. Elledge Ron Brookmeyer Ingo Ruczinski H. Benjamin Larman
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up_date	2024-07-03T17:40:29.635Z
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We also demonstrate that epitope engineering can be used to optimize peptide binding properties for applications such as cross-sectional HIV incidence estimation. : Eshleman et al. quantify antibody binding to <3,300 HIV peptides from early- to late-stage infection using a phage display system (VirScan). Binding diversity (breadth) reaches individual-specific set points; breadth decline is associated with CD4 cell loss. Time-dependent binding specificities are identified, optimized, and used to predict duration of HIV infection. 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