TY - JOUR
T1 - Immunovirological and environmental screening reveals actionable risk factors for fatal COVID-19 during post-vaccination nursing home outbreaks
AU - Cuypers, Lize
AU - Keyaerts, Els
AU - Hong, Samuel Leandro
AU - Gorissen, Sarah
AU - Menezes, Soraya Maria
AU - Starick, Marick
AU - Van Elslande, Jan
AU - Weemaes, Matthias
AU - Wawina-Bokalanga, Tony
AU - Marti-Carreras, Joan
AU - Vanmechelen, Bert
AU - Van Holm, Bram
AU - Bloemen, Mandy
AU - Dogne, Jean Michel
AU - Dufrasne, François E.
AU - Durkin, Keith
AU - Ruelle, Jean
AU - de Mendonca, Ricardo
AU - Wollants, Elke
AU - Vermeersch, Pieter
AU - Wattiez, Ruddy
AU - Peeters, Michael
AU - Bakelants, Kate
AU - Denayer, Sarah
AU - Dufrasne, François E.
AU - Meex, Cécile
AU - Gillet, Laurent
AU - Artesi, Maria
AU - Hayette, Marie Pierre
AU - Bontems, Sébastien
AU - Bours, Vincent
AU - Gourzonès, Claire
AU - Ek, Olivier
AU - Bureau, Fabrice
AU - Kabamba, Benoit
AU - Gala, Jean Luc
AU - Bearzatto, Bertrand
AU - Ambroise, Jérôme
AU - Marchant, Arnaud
AU - Henin, Coralie
AU - Haerlingen, Benoit
AU - de Mendonca, Ricardo
AU - Delforge, Marie Luce
AU - Vael, Carl
AU - Berckmans, Lynsey
AU - Selhorst, Philippe
AU - Ariën, Kevin K.
AU - Van Dooren, Sonia
AU - Hinckel, Bruno
AU - Imamura, Hideo
AU - Janssen, Toon
AU - Caljon, Ben
AU - Soetens, Oriane
AU - Piérard, Denis
AU - Demuyser, Thomas
AU - Michel, Charlotte
AU - Vandenberg, Olivier
AU - van den Wijngaert, Sigi
AU - Zorzi, Giulia
AU - Van Lint, Philippe
AU - Verstrepen, Walter
AU - Naesens, Reinout
AU - Van Lent, Sarah
AU - Hilbert, Pascale
AU - Brohée, Sylvain
AU - Léonard, Pierre Emmanuel
AU - Karadurmus, Deniz
AU - Gras, Jeremie
AU - Féret, Damien
AU - Lambert, Barbara
AU - Vankeerberghen, Anne
AU - Holderbeke, Astrid
AU - De Beenhouwer, Hans
AU - Cattoir, Lien
AU - Lammens, Christine
AU - Xavier, Basil Britto
AU - Le Mercier, Marie
AU - Coppens, Jasmine
AU - Matheeussen, Veerle
AU - Goossens, Herman
AU - Martens, Geert A.
AU - Swaerts, Koen
AU - Van Hoecke, Frederik
AU - Desmet, Dieter
AU - Descheemaeker, Patrick
AU - Bogaerts, Pierre
AU - Degosserie, Jonathan
AU - Denis, Olivier
AU - Huang, Te Din
AU - Obbels, Dagmar
AU - Valgaeren, Hanne
AU - Frans, Johan
AU - Smismans, Annick
AU - Claus, Paul Emile
AU - Veltman, Denise
AU - Goegebuer, Truus
AU - Lemmens, Ann
AU - Van den Poel, Bea
AU - De Bock, Sonja
AU - Laffut, Wim
AU - Van Even, Ellen
AU - Van Acker, Jos
AU - Verfaillie, Charlotte
AU - Vanlaere, Elke
AU - De Rauw, Klara
AU - Waumans, Luc
AU - Van Meensel, Britt
AU - Cartuyvels, Reinoud
AU - Raymaekers, Marijke
AU - Verhasselt, Bruno
AU - Hellemans, Jorn
AU - Vanhee, Merijn
AU - Reynders, Marijke
AU - Boulouffe, Caroline
AU - Djiena, Achille
AU - Broucke, Caroline
AU - Catry, Boudewijn
AU - Lagrou, Katrien
AU - Van Ranst, Marc
AU - Neyts, Johan
AU - Baele, Guy
AU - Maes, Piet
AU - André, Emmanuel
AU - Dellicour, Simon
AU - Van Weyenbergh, Johan
AU - COVID-19 Genomics Belgium Consortium
N1 - Publisher Copyright:
© 2023, The Author(s).
PY - 2023/6
Y1 - 2023/6
N2 - Coronavirus Disease 2019 (COVID-19) vaccination has resulted in excellent protection against fatal disease, including in older adults. However, risk factors for post-vaccination fatal COVID-19 are largely unknown. We comprehensively studied three large nursing home outbreaks (20–35% fatal cases among residents) by combining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) aerosol monitoring, whole-genome phylogenetic analysis and immunovirological profiling of nasal mucosa by digital nCounter transcriptomics. Phylogenetic investigations indicated that each outbreak stemmed from a single introduction event, although with different variants (Delta, Gamma and Mu). SARS-CoV-2 was detected in aerosol samples up to 52 d after the initial infection. Combining demographic, immune and viral parameters, the best predictive models for mortality comprised IFNB1 or age, viral ORF7a and ACE2 receptor transcripts. Comparison with published pre-vaccine fatal COVID-19 transcriptomic and genomic signatures uncovered a unique IRF3 low/IRF7 high immune signature in post-vaccine fatal COVID-19 outbreaks. A multi-layered strategy, including environmental sampling, immunomonitoring and early antiviral therapy, should be considered to prevent post-vaccination COVID-19 mortality in nursing homes.
AB - Coronavirus Disease 2019 (COVID-19) vaccination has resulted in excellent protection against fatal disease, including in older adults. However, risk factors for post-vaccination fatal COVID-19 are largely unknown. We comprehensively studied three large nursing home outbreaks (20–35% fatal cases among residents) by combining severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) aerosol monitoring, whole-genome phylogenetic analysis and immunovirological profiling of nasal mucosa by digital nCounter transcriptomics. Phylogenetic investigations indicated that each outbreak stemmed from a single introduction event, although with different variants (Delta, Gamma and Mu). SARS-CoV-2 was detected in aerosol samples up to 52 d after the initial infection. Combining demographic, immune and viral parameters, the best predictive models for mortality comprised IFNB1 or age, viral ORF7a and ACE2 receptor transcripts. Comparison with published pre-vaccine fatal COVID-19 transcriptomic and genomic signatures uncovered a unique IRF3 low/IRF7 high immune signature in post-vaccine fatal COVID-19 outbreaks. A multi-layered strategy, including environmental sampling, immunomonitoring and early antiviral therapy, should be considered to prevent post-vaccination COVID-19 mortality in nursing homes.
UR - https://www.scopus.com/pages/publications/85160051457
U2 - 10.1038/s43587-023-00421-1
DO - 10.1038/s43587-023-00421-1
M3 - Article
C2 - 37217661
AN - SCOPUS:85160051457
SN - 2662-8465
VL - 3
SP - 722
EP - 733
JO - Nature Aging
JF - Nature Aging
IS - 6
ER -