It appears you don't have support to open PDFs in this web browser. To view this file, Open with your PDF reader
Abstract
Assessment of immune correlates of severe COVID-19 has been hampered by the low numbers of severe cases in COVID-19 vaccine efficacy (VE) trials. We assess neutralizing and binding antibody levels at 4 weeks post-Ad26.COV2.S vaccination as correlates of risk and of protection against severe-critical COVID-19 through 220 days post-vaccination in the ENSEMBLE trial (NCT04505722), constituting ~4.5 months longer follow-up than our previous correlates analysis and enabling inclusion of 42 severe-critical vaccine-breakthrough cases. Neutralizing antibody titer is a strong inverse correlate of severe-critical COVID-19, with estimated hazard ratio (HR) per 10-fold increase 0.35 (95% CI: 0.13, 0.90). In a multivariable model, HRs are 0.31 (0.11, 0.89) for neutralizing antibody titer and 1.22 (0.49, 3.02) for anti-Spike binding antibody concentration. VE against severe-critical COVID-19 rises with neutralizing antibody titer: 63.1% (95% CI: 40.0%, 77.3%) at unquantifiable [<4.8975 International Units (IU)50/ml], 85.2% (47.2%, 95.3%) at just-quantifiable (5.2 IU50/ml), and 95.1% (81.1%, 96.9%) at 90th percentile (30.2 IU50/ml). At the same titers, VE against moderate COVID-19 is 32.5% (11.8%, 48.4%), 33.9% (19.1%, 59.3%), and 60.7% (40.4%, 76.4%). Protection against moderate vs. severe disease may require higher antibody levels, and very low antibody levels and/or other immune responses may associate with protection against severe disease.
In this study, the authors report that post-vaccination neutralizing and binding antibody levels in the ENSEMBLE trial associate with Ad26.COV2.S vaccine efficacy (VE) against severe-critical COVID-19, with substantial VE even at unquantifiable neutralizing antibody titer.
You have requested "on-the-fly" machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Show full disclaimer
Neither ProQuest nor its licensors make any representations or warranties with respect to the translations. The translations are automatically generated "AS IS" and "AS AVAILABLE" and are not retained in our systems. PROQUEST AND ITS LICENSORS SPECIFICALLY DISCLAIM ANY AND ALL EXPRESS OR IMPLIED WARRANTIES, INCLUDING WITHOUT LIMITATION, ANY WARRANTIES FOR AVAILABILITY, ACCURACY, TIMELINESS, COMPLETENESS, NON-INFRINGMENT, MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. Your use of the translations is subject to all use restrictions contained in your Electronic Products License Agreement and by using the translation functionality you agree to forgo any and all claims against ProQuest or its licensors for your use of the translation functionality and any output derived there from. Hide full disclaimer
Details
; Hyrien, Ollivier 2 ; Fong, Youyi 2 ; Benkeser, David 3
; Roels, Sanne 4 ; Stieh, Daniel J. 5
; Van Dromme, Ilse 4 ; Van Roey, Griet A. 6 ; Kenny, Avi 7 ; Huang, Ying 8
; Carone, Marco 9
; McDermott, Adrian B. 10
; Houchens, Christopher R. 11 ; Martins, Karen 11 ; Jayashankar, Lakshmi 11 ; Castellino, Flora 11 ; Amoa-Awua, Obrimpong 12 ; Basappa, Manjula 12 ; Flach, Britta 12 ; Lin, Bob C. 12 ; Moore, Christopher 12 ; Naisan, Mursal 12 ; Naqvi, Muhammed 12 ; Narpala, Sandeep 12 ; O’Connell, Sarah 12 ; Mueller, Allen 12 ; Serebryannyy, Leo 12 ; Castro, Mike 12
; Wang, Jennifer 12 ; Petropoulos, Christos J. 13
; Luedtke, Alex 14 ; Lu, Yiwen 1 ; Yu, Chenchen 1 ; Juraska, Michal 1
; Hejazi, Nima S. 15
; Wolfe, Daniel N. 11 ; Sadoff, Jerald 16 ; Gray, Glenda E. 17 ; Grinsztejn, Beatriz 18 ; Goepfert, Paul A. 19
; Bekker, Linda-Gail 20
; Gaur, Aditya H. 21
; Veloso, Valdilea G. 18 ; Randhawa, April K. 1
; Andrasik, Michele P. 1 ; Hendriks, Jenny 22 ; Truyers, Carla 4 ; Vandebosch, An 23 ; Struyf, Frank 24
; Schuitemaker, Hanneke 25 ; Douoguih, Macaya 26 ; Kublin, James G. 1 ; Corey, Lawrence 27
; Neuzil, Kathleen M. 28 ; Follmann, Dean 29
; Koup, Richard A. 12 ; Donis, Ruben O. 11
; Gilbert, Peter B. 8
1 Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622)
2 Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622); Fred Hutchinson Cancer Center, Public Health Sciences Division, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622)
3 Emory University, Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0004 1936 7398)
4 Johnson & Johnson Innovative Medicine, Beerse, Belgium (GRID:grid.419619.2) (ISNI:0000 0004 0623 0341)
5 Janssen Vaccines and Prevention, Leiden, the Netherlands (GRID:grid.419619.2); Vaccine Company Inc., South San Francisco, USA (GRID:grid.419619.2)
6 Janssen Vaccines and Prevention, Leiden, the Netherlands (GRID:grid.419619.2)
7 University of Washington School of Public Health, Department of Biostatistics, Seattle, USA (GRID:grid.34477.33) (ISNI:0000 0001 2298 6657); Duke University, Department of Biostatistics and Bioinformatics, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961); Duke University, Duke Global Health Institute, Durham, USA (GRID:grid.26009.3d) (ISNI:0000 0004 1936 7961)
8 Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622); Fred Hutchinson Cancer Center, Public Health Sciences Division, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622); University of Washington School of Public Health, Department of Biostatistics, Seattle, USA (GRID:grid.34477.33) (ISNI:0000 0001 2298 6657)
9 University of Washington School of Public Health, Department of Biostatistics, Seattle, USA (GRID:grid.34477.33) (ISNI:0000 0001 2298 6657)
10 National Institutes of Health, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, Bethesda, USA (GRID:grid.94365.3d) (ISNI:0000 0001 2297 5165); Sanofi Vaccines R&D, Marcy l’étoile, France (GRID:grid.94365.3d)
11 Biomedical Advanced Research and Development Authority, Washington, USA (GRID:grid.476870.a)
12 National Institutes of Health, Vaccine Research Center, National Institute of Allergy and Infectious Diseases, Bethesda, USA (GRID:grid.94365.3d) (ISNI:0000 0001 2297 5165)
13 LabCorp-Monogram Biosciences, South San Francisco, USA (GRID:grid.419316.8) (ISNI:0000 0004 0550 1859)
14 University of Washington, Department of Statistics, Seattle, USA (GRID:grid.34477.33) (ISNI:0000 0001 2298 6657)
15 Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622); Harvard University, Department of Biostatistics, T.H. Chan School of Public Health, Boston, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X)
16 Janssen Vaccines and Prevention, Leiden, the Netherlands (GRID:grid.476870.a); Centivax, South San Francisco, USA (GRID:grid.476870.a)
17 University of the Witwatersrand, Perinatal HIV Research Unit, Faculty of Health Sciences, Johannesburg, South Africa (GRID:grid.11951.3d) (ISNI:0000 0004 1937 1135); South African Medical Research Council, Cape Town, South Africa (GRID:grid.415021.3) (ISNI:0000 0000 9155 0024)
18 Evandro Chagas National Institute of Infectious Diseases-Fundação Oswaldo Cruz, Rio de Janeiro, Brazil (GRID:grid.418068.3) (ISNI:0000 0001 0723 0931)
19 University of Alabama at Birmingham, Division of Infectious Diseases, Department of Medicine, Birmingham, USA (GRID:grid.265892.2) (ISNI:0000 0001 0634 4187)
20 Observatory, Institute of Infectious Disease and Molecular Medicine, University of Cape Town, Cape Town, South Africa (GRID:grid.7836.a) (ISNI:0000 0004 1937 1151); Observatory, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa (GRID:grid.7836.a) (ISNI:0000 0004 1937 1151); University of Cape Town, Desmond Tutu HIV Centre, Cape Town, South Africa (GRID:grid.7836.a) (ISNI:0000 0004 1937 1151)
21 St. Jude Children’s Research Hospital, Department of Infectious Diseases, Memphis, USA (GRID:grid.240871.8) (ISNI:0000 0001 0224 711X)
22 Janssen Vaccines and Prevention, Leiden, the Netherlands (GRID:grid.270240.3)
23 Johnson & Johnson Innovative Medicine, Beerse, Belgium (GRID:grid.419619.2) (ISNI:0000 0004 0623 0341); argenx BV, Ghent, Belgium (GRID:grid.476105.1) (ISNI:0000 0004 6006 9667)
24 Johnson & Johnson Innovative Medicine, Beerse, Belgium (GRID:grid.419619.2) (ISNI:0000 0004 0623 0341); GSK, Wavre, Belgium (GRID:grid.425090.a) (ISNI:0000 0004 0468 9597)
25 Janssen Vaccines and Prevention, Leiden, the Netherlands (GRID:grid.425090.a); Valneva, Saint-Herblain, France (GRID:grid.425090.a)
26 Janssen Vaccines and Prevention, Leiden, the Netherlands (GRID:grid.425090.a); Merck, Rahway, USA (GRID:grid.453555.7) (ISNI:0000 0004 0484 7284)
27 Fred Hutchinson Cancer Center, Vaccine and Infectious Disease Division, Seattle, USA (GRID:grid.270240.3) (ISNI:0000 0001 2180 1622); University of Washington, Department of Laboratory Medicine and Pathology, Seattle, USA (GRID:grid.34477.33) (ISNI:0000 0001 2298 6657)
28 University of Maryland School of Medicine, Center for Vaccine Development and Global Health, Baltimore, USA (GRID:grid.411024.2) (ISNI:0000 0001 2175 4264); Fogarty International Center, Bethesda, USA (GRID:grid.453035.4) (ISNI:0000 0004 0533 8254)
29 National Institutes of Health, Biostatistics Research Branch, National Institute of Allergy and Infectious Diseases, Bethesda, USA (GRID:grid.94365.3d) (ISNI:0000 0001 2297 5165)




