Abstract

ABO blood type has been reported as a potential factor influencing SARS-CoV-2 infection, but so far mostly in studies that involved small samples, selected population and/or used PCR test results. In contrast our study aimed to assess the association between ABO blood types and SARS-CoV-2 infection using seroprevalence data (independent of whether or not individuals had symptoms or sought for testing) in a large population-based sample. Our study included 67,340 French participants to the SAPRIS-SERO multi-cohort project. Anti-SARS-CoV-2 antibodies were detected using ELISA (targeting the proteins spike (S) and nucleocapsid (NP)) and seroneutralisation (SN) tests on dried blood spots collected in May–November 2020. Non-O individuals (and especially types A and AB) were more likely to bear anti SARS-CoV-2 antibodies (ELISA-S, 2964 positive cases: ORnon-Ovs.O = 1.09[1.01–1.17], ORAvs.O = 1.08[1.00–1.17]; ELISA-S/ELISA-NP/SN, 678 triple positive cases: ORnon-Ovs.O = 1.19 [1.02–1.39], ORAvs.O = 1.19[1.01–1.41], ORABvs.O = 1.43[1.01–2.03]). Hence, our results provided additional insights into the dynamic of SARS-CoV-2 infection, highlighting a higher susceptibility of infection for individuals of blood types A and AB and a lesser risk for blood type O.

Details

Title
ABO blood types and SARS-CoV-2 infection assessed using seroprevalence data in a large population-based sample: the SAPRIS-SERO multi-cohort study
Author
Deschasaux-Tanguy, Mélanie 1 ; Szabo de Edelenyi, Fabien 1 ; Druesne-Pecollo, Nathalie 1 ; Esseddik, Younes 1 ; Allègre, Julien 1 ; Srour, Bernard 1 ; Galan, Pilar 1 ; Hercberg, Serge 1 ; Severi, Gianluca 2 ; Zins, Marie 3 ; Wiernik, Emmanuel 3 ; Carrat, Fabrice 4 ; Ancel, Pierre-Yves 5 ; Bajos, Nathalie 6 ; Charles, Marie-Aline 7 ; Touvier, Mathilde 1 ; Kab, Sofiane 3 ; Renuy, Adeline 3 ; Le Got, Stéphane 3 ; Ribet, Céline 3 ; Pellicer, Mireille 3 ; Goldberg, Marcel 3 ; Artaud, Fanny 8 ; Gerbouin-Rérolle, Pascale 8 ; Enguix, Mélody 8 ; Laplanche, Camille 8 ; Gomes-Rimav, Roselyn 8 ; Hoang, Lyan 8 ; Correia, Emmanuelle 8 ; Barry, Alpha Amadou 8 ; Senina, Nadège 8 ; de Edelenyi, Fabien Szabo 1 ; Benhammou, Valérie 9 ; Ritmi, Anass 9 ; Marchand, Laetitia 9 ; Zaros, Cecile 10 ; Lordmi, Elodie 10 ; Candea, Adriana 10 ; de Visme, Sophie 10 ; Simeon, Thierry 10 ; Thierry, Xavier 10 ; Geay, Bertrand 10 ; Dufourg, Marie-Noelle 10 ; Milcent, Karen 10 ; Lusivika-Nzinga, Clovis 11 ; Pannetier, Gregory 11 ; Lapidus, Nathanael 11 ; Goderel, Isabelle 11 ; Dorival, Céline 11 ; Nicol, Jérôme 11 ; Robineau, Olivier 11 ; Lai, Cindy 12 ; Belhadji, Liza 12 ; Esperou, Hélène 12 ; Couffin-Cadiergues, Sandrine 12 ; Gagliolo, Jean-Marie 13 ; Blanché, Hélène 14 ; Sébaoun, Jean-Marc 14 ; Beaudoin, Jean-Christophe 14 ; Gressin, Laetitia 14 ; Morel, Valérie 14 ; Ouili, Ouissam 14 ; Deleuze, Jean-François 14 ; Priet, Stéphane 15 ; Villarroel, Paola Mariela Saba 15 ; Fourié, Toscane 15 ; Ali, Souand Mohamed 15 ; Amroun, Abdenour 15 ; Seston, Morgan 15 ; Ayhan, Nazli 15 ; Pastorino, Boris 15 ; de Lamballerie, Xavier 15 

1  Sorbonne Paris Nord University, Inserm U1153, Inrae U1125, Cnam, Nutritional Epidemiology Research Team (EREN), Epidemiology and Statistics Research Center – Université Paris Cité (CRESS), Bobigny, France (GRID:grid.36823.3c) (ISNI:0000 0001 2185 090X) 
2  Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, “Exposome and Heredity” team, CESP UMR1018, Villejuif, France (GRID:grid.460789.4) (ISNI:0000 0004 4910 6535); University of Florence, Department of Statistics, Computer Science and Applications “G. Parenti”, Florence, Italy (GRID:grid.8404.8) (ISNI:0000 0004 1757 2304) 
3  Paris Saclay University, Université de Versailles Saint-Quentin-en-Yvelines, Université Paris Cité, Population-based Cohorts Unit, INSERM, UMS 011, Paris, France (GRID:grid.508487.6) (ISNI:0000 0004 7885 7602) 
4  Sorbonne Université, Inserm, Institut Pierre-Louis d’Epidémiologie et de Santé Publique, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657); Sorbonne Université, Département de Santé Publique, APHP, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657) 
5  Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, INRAE, Université de Paris, Obstetrical, Perinatal and Pediatric Research Team (EPOPé), Paris, France (GRID:grid.462844.8) 
6  IRIS, UMR CNRS 8156, EHESS, Inserm U997, Aubervilliers, France (GRID:grid.503259.8) (ISNI:0000 0001 2189 6991) 
7  Centre for Research in Epidemiology and StatisticS (CRESS), Inserm, INRAE, Université de Paris, Paris, France (GRID:grid.503259.8) 
8  Paris-Saclay University, UVSQ, Inserm, Gustave Roussy, “Exposome and Heredity” team, CESP UMR1018, Villejuif, France (GRID:grid.460789.4) (ISNI:0000 0004 4910 6535) 
9  EPIPAGE-2 Joint Unit, Paris, France (GRID:grid.36823.3c) 
10  ELFE Joint Unit, Paris, France (GRID:grid.36823.3c) 
11  Sorbonne Université, Inserm, Institut Pierre-Louis d’Epidémiologie et de Santé Publique, Paris, France (GRID:grid.462844.8) (ISNI:0000 0001 2308 1657) 
12  Inserm, Paris, France (GRID:grid.7429.8) (ISNI:0000000121866389) 
13  Inserm, Aviesan, Paris, France (GRID:grid.7429.8) (ISNI:0000000121866389) 
14  Fondation Jean Dausset-CEPH (Centre d’Etude du Polymorphisme Humain), CEPH-Biobank, Paris, France (GRID:grid.417836.f) (ISNI:0000 0004 0639 125X) 
15  Aix Marseille Univ, Unité des Virus Emergents (UVE), IRD 190, INSERM 1207, Marseille, France (GRID:grid.5399.6) (ISNI:0000 0001 2176 4817) 
Pages
4775
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41598-023-30714-9
ProQuest document ID
2789897906
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.