Higher T-Cell Responses Induced by DNA/rAd5 HIV-1 Preventive Vaccine Are Associated With Lower HIV-1 Infection Risk in an Efficacy Trial

Background. It is important to identify vaccine-induced immune responses that predict the preventative efficacy of a human immunodeficiency virus (HIV)–1 vaccine. We assessed T-cell response markers as correlates of risk in the HIV Vaccine Trials Network (HVTN) 505 HIV-1 vaccine efficacy trial. Meth...

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Veröffentlicht in:The Journal of infectious diseases 2017-05, Vol.215 (9), p.1376-1385
Hauptverfasser: Janes, Holly E., Cohen, Kristen W., Frahm, Nicole, De Rosa, Stephen C., Sanchez, Brittany, Hural, John, Magaret, Craig A., Karuna, Shelly, Bentley, Carter, Gottardo, Raphael, Finak, Greg, Grove, Douglas, Shen, Mingchao, Graham, Barney S., Koup, Richard A., Mulligan, Mark J., Koblin, Beryl, Buchbinder, Susan P., Keefer, Michael C., Adams, Elizabeth, Anude, Chuka, Corey, Lawrence, Sobieszczyk, Magdalena, Hammer, Scott M., Gilbert, Peter B., McElrath, M. Juliana
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container_end_page 1385
container_issue 9
container_start_page 1376
container_title The Journal of infectious diseases
container_volume 215
creator Janes, Holly E.
Cohen, Kristen W.
Frahm, Nicole
De Rosa, Stephen C.
Sanchez, Brittany
Hural, John
Magaret, Craig A.
Karuna, Shelly
Bentley, Carter
Gottardo, Raphael
Finak, Greg
Grove, Douglas
Shen, Mingchao
Graham, Barney S.
Koup, Richard A.
Mulligan, Mark J.
Koblin, Beryl
Buchbinder, Susan P.
Keefer, Michael C.
Adams, Elizabeth
Anude, Chuka
Corey, Lawrence
Sobieszczyk, Magdalena
Hammer, Scott M.
Gilbert, Peter B.
McElrath, M. Juliana
description Background. It is important to identify vaccine-induced immune responses that predict the preventative efficacy of a human immunodeficiency virus (HIV)–1 vaccine. We assessed T-cell response markers as correlates of risk in the HIV Vaccine Trials Network (HVTN) 505 HIV-1 vaccine efficacy trial. Methods. 2504 participants were randomized to DNA/rAd5 vaccine or placebo, administered at weeks 0, 4, 8, and 24. Peripheral blood mononuclear cells were obtained at week 26 from all 25 primary endpoint vaccine cases and 125 matched vaccine controls, and stimulated with vaccine-insert-matched peptides. Primary variables were total HIV-1-specific CD4+ T-cell magnitude and Envspecific CD4+ polyfunctionality. Four secondary variables were also assessed. Immune responses were evaluated as predictors of HIV-1 infection among vaccinees using Cox proportional hazards models. Machine learning analyses identified immune response combinations best predicting HIV-1 infection. Results. We observed an unexpectedly strong inverse correlation between Env-specific CD8+ immune response magnitude and HIV-1 infection risk (hazard ratio [HR] = 0.18 per SD increment; P = .04) and between Env-specific CD8+ polyfunctionality and infection risk (HR = 0.34 per SD increment; P < .01). Conclusions. Further research is needed to determine if these immune responses are predictors of vaccine efficacy or markers of natural resistance to HIV-1 infection.
doi_str_mv 10.1093/infdis/jix086
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Juliana</creator><creatorcontrib>Janes, Holly E. ; Cohen, Kristen W. ; Frahm, Nicole ; De Rosa, Stephen C. ; Sanchez, Brittany ; Hural, John ; Magaret, Craig A. ; Karuna, Shelly ; Bentley, Carter ; Gottardo, Raphael ; Finak, Greg ; Grove, Douglas ; Shen, Mingchao ; Graham, Barney S. ; Koup, Richard A. ; Mulligan, Mark J. ; Koblin, Beryl ; Buchbinder, Susan P. ; Keefer, Michael C. ; Adams, Elizabeth ; Anude, Chuka ; Corey, Lawrence ; Sobieszczyk, Magdalena ; Hammer, Scott M. ; Gilbert, Peter B. ; McElrath, M. Juliana</creatorcontrib><description>Background. It is important to identify vaccine-induced immune responses that predict the preventative efficacy of a human immunodeficiency virus (HIV)–1 vaccine. We assessed T-cell response markers as correlates of risk in the HIV Vaccine Trials Network (HVTN) 505 HIV-1 vaccine efficacy trial. Methods. 2504 participants were randomized to DNA/rAd5 vaccine or placebo, administered at weeks 0, 4, 8, and 24. Peripheral blood mononuclear cells were obtained at week 26 from all 25 primary endpoint vaccine cases and 125 matched vaccine controls, and stimulated with vaccine-insert-matched peptides. Primary variables were total HIV-1-specific CD4+ T-cell magnitude and Envspecific CD4+ polyfunctionality. Four secondary variables were also assessed. Immune responses were evaluated as predictors of HIV-1 infection among vaccinees using Cox proportional hazards models. Machine learning analyses identified immune response combinations best predicting HIV-1 infection. Results. We observed an unexpectedly strong inverse correlation between Env-specific CD8+ immune response magnitude and HIV-1 infection risk (hazard ratio [HR] = 0.18 per SD increment; P = .04) and between Env-specific CD8+ polyfunctionality and infection risk (HR = 0.34 per SD increment; P &lt; .01). Conclusions. Further research is needed to determine if these immune responses are predictors of vaccine efficacy or markers of natural resistance to HIV-1 infection.</description><identifier>ISSN: 0022-1899</identifier><identifier>EISSN: 1537-6613</identifier><identifier>DOI: 10.1093/infdis/jix086</identifier><identifier>PMID: 28199679</identifier><language>eng</language><publisher>US: Oxford University Press</publisher><subject>Adenoviridae - genetics ; AIDS Vaccines - administration &amp; dosage ; AIDS Vaccines - immunology ; Analysis of Variance ; CD4-Positive T-Lymphocytes - immunology ; CD8-Positive T-Lymphocytes - immunology ; Computational Biology ; Cytokines - immunology ; Genetic Vectors ; HIV Infections - immunology ; HIV Infections - prevention &amp; control ; HIV/AIDS ; Humans ; Machine Learning ; Major ; Risk</subject><ispartof>The Journal of infectious diseases, 2017-05, Vol.215 (9), p.1376-1385</ispartof><rights>Copyright © 2016 Oxford University Press on behalf of the Infectious Diseases Society of America</rights><rights>The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. For permissions, e-mail: journals.permissions@oup.com. 2017</rights><rights>The Author 2017. Published by Oxford University Press for the Infectious Diseases Society of America. All rights reserved. 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Juliana</creatorcontrib><title>Higher T-Cell Responses Induced by DNA/rAd5 HIV-1 Preventive Vaccine Are Associated With Lower HIV-1 Infection Risk in an Efficacy Trial</title><title>The Journal of infectious diseases</title><addtitle>J Infect Dis</addtitle><description>Background. It is important to identify vaccine-induced immune responses that predict the preventative efficacy of a human immunodeficiency virus (HIV)–1 vaccine. We assessed T-cell response markers as correlates of risk in the HIV Vaccine Trials Network (HVTN) 505 HIV-1 vaccine efficacy trial. Methods. 2504 participants were randomized to DNA/rAd5 vaccine or placebo, administered at weeks 0, 4, 8, and 24. Peripheral blood mononuclear cells were obtained at week 26 from all 25 primary endpoint vaccine cases and 125 matched vaccine controls, and stimulated with vaccine-insert-matched peptides. Primary variables were total HIV-1-specific CD4+ T-cell magnitude and Envspecific CD4+ polyfunctionality. Four secondary variables were also assessed. Immune responses were evaluated as predictors of HIV-1 infection among vaccinees using Cox proportional hazards models. Machine learning analyses identified immune response combinations best predicting HIV-1 infection. Results. We observed an unexpectedly strong inverse correlation between Env-specific CD8+ immune response magnitude and HIV-1 infection risk (hazard ratio [HR] = 0.18 per SD increment; P = .04) and between Env-specific CD8+ polyfunctionality and infection risk (HR = 0.34 per SD increment; P &lt; .01). Conclusions. Further research is needed to determine if these immune responses are predictors of vaccine efficacy or markers of natural resistance to HIV-1 infection.</description><subject>Adenoviridae - genetics</subject><subject>AIDS Vaccines - administration &amp; dosage</subject><subject>AIDS Vaccines - immunology</subject><subject>Analysis of Variance</subject><subject>CD4-Positive T-Lymphocytes - immunology</subject><subject>CD8-Positive T-Lymphocytes - immunology</subject><subject>Computational Biology</subject><subject>Cytokines - immunology</subject><subject>Genetic Vectors</subject><subject>HIV Infections - immunology</subject><subject>HIV Infections - prevention &amp; control</subject><subject>HIV/AIDS</subject><subject>Humans</subject><subject>Machine Learning</subject><subject>Major</subject><subject>Risk</subject><issn>0022-1899</issn><issn>1537-6613</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqFkUFv0zAUxy0EYmVw5AjycZesdpw48QWpKmOtVAGayjhajvO8uqR2sZNu_QZ8bDxlbHDiYPng3_u99_xH6C0l55QINrXOtDZOt_aO1PwZmtCSVRnnlD1HE0LyPKO1ECfoVYxbQkjBePUSneQ1FYJXYoJ-LezNBgJeZ3PoOnwFce9dhIiXrh00tLg54o-fZ9Mwa0u8WF5nFH8NcADX2wPga6W1dYBnIZ0YvbaqTzXfbb_BK3-bvGPJ0hnQvfUOX9n4A1uHlcMXxlit9BGvg1Xda_TCqC7Cm4f7FH37dLGeL7LVl8vlfLbKdFHkfdZCSUnBK94YXRGgTcPzIm9NTXNomlopKGvK02q0MIUSVKi8ZUxXkJOyroCyU_Rh9O6HZgetTpsE1cl9sDsVjtIrK_99cXYjb_xBlnXJeMmS4OxBEPzPAWIvdzbq9HnKgR-ipDUXhKcRSEKzEdXBxxjAPLahRN6nJ8f05Jhe4t__Pdsj_Seup95-2P_X9W5Et7H34UnFGS9Exdhv3NevIA</recordid><startdate>20170501</startdate><enddate>20170501</enddate><creator>Janes, Holly E.</creator><creator>Cohen, Kristen W.</creator><creator>Frahm, Nicole</creator><creator>De Rosa, Stephen C.</creator><creator>Sanchez, Brittany</creator><creator>Hural, John</creator><creator>Magaret, Craig A.</creator><creator>Karuna, Shelly</creator><creator>Bentley, Carter</creator><creator>Gottardo, Raphael</creator><creator>Finak, Greg</creator><creator>Grove, Douglas</creator><creator>Shen, Mingchao</creator><creator>Graham, Barney S.</creator><creator>Koup, Richard A.</creator><creator>Mulligan, Mark J.</creator><creator>Koblin, Beryl</creator><creator>Buchbinder, Susan P.</creator><creator>Keefer, Michael C.</creator><creator>Adams, Elizabeth</creator><creator>Anude, Chuka</creator><creator>Corey, Lawrence</creator><creator>Sobieszczyk, Magdalena</creator><creator>Hammer, Scott M.</creator><creator>Gilbert, Peter B.</creator><creator>McElrath, M. 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Juliana</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Higher T-Cell Responses Induced by DNA/rAd5 HIV-1 Preventive Vaccine Are Associated With Lower HIV-1 Infection Risk in an Efficacy Trial</atitle><jtitle>The Journal of infectious diseases</jtitle><addtitle>J Infect Dis</addtitle><date>2017-05-01</date><risdate>2017</risdate><volume>215</volume><issue>9</issue><spage>1376</spage><epage>1385</epage><pages>1376-1385</pages><issn>0022-1899</issn><eissn>1537-6613</eissn><abstract>Background. It is important to identify vaccine-induced immune responses that predict the preventative efficacy of a human immunodeficiency virus (HIV)–1 vaccine. We assessed T-cell response markers as correlates of risk in the HIV Vaccine Trials Network (HVTN) 505 HIV-1 vaccine efficacy trial. Methods. 2504 participants were randomized to DNA/rAd5 vaccine or placebo, administered at weeks 0, 4, 8, and 24. 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Further research is needed to determine if these immune responses are predictors of vaccine efficacy or markers of natural resistance to HIV-1 infection.</abstract><cop>US</cop><pub>Oxford University Press</pub><pmid>28199679</pmid><doi>10.1093/infdis/jix086</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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subjects Adenoviridae - genetics
AIDS Vaccines - administration & dosage
AIDS Vaccines - immunology
Analysis of Variance
CD4-Positive T-Lymphocytes - immunology
CD8-Positive T-Lymphocytes - immunology
Computational Biology
Cytokines - immunology
Genetic Vectors
HIV Infections - immunology
HIV Infections - prevention & control
HIV/AIDS
Humans
Machine Learning
Major
Risk
title Higher T-Cell Responses Induced by DNA/rAd5 HIV-1 Preventive Vaccine Are Associated With Lower HIV-1 Infection Risk in an Efficacy Trial
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