| Literature DB >> 35576468 |
Jérémy Manry1,2, Paul Bastard1,2,3, Adrian Gervais1,2, Tom Le Voyer1,2, Jérémie Rosain1,2, Quentin Philippot1,2, Eleftherios Michailidis4, Hans-Heinrich Hoffmann4, Shohei Eto5, Marina Garcia-Prat6, Lucy Bizien1,2, Alba Parra-Martínez6, Rui Yang3, Liis Haljasmägi7, Mélanie Migaud1,2, Karita Särekannu7, Julia Maslovskaja7, Nicolas de Prost8,9, Yacine Tandjaoui-Lambiotte10, Charles-Edouard Luyt11,12, Blanca Amador-Borrero13, Alexandre Gaudet14,15, Julien Poissy14,15, Pascal Morel16,17, Pascale Richard16, Fabrice Cognasse18,19, Jesús Troya20, Sophie Trouillet-Assant21,22,23, Alexandre Belot21,22,24,25, Kahina Saker21,22, Pierre Garçon26, Jacques G Rivière6, Jean-Christophe Lagier27, Stéphanie Gentile28,29, Lindsey B Rosen30, Elana Shaw30, Tomohiro Morio31, Junko Tanaka32, David Dalmau33,34, Pierre-Louis Tharaux35, Damien Sene13, Alain Stepanian36,37, Bruno Mégarbane38, Vasiliki Triantafyllia39, Arnaud Fekkar1,40, James R Heath41, José Luis Franco42, Juan-Manuel Anaya43, Jordi Solé-Violán44,45,46, Luisa Imberti47, Andrea Biondi48, Paolo Bonfanti49, Riccardo Castagnoli30,50, Ottavia M Delmonte30, Yu Zhang30,51, Andrew L Snow52, Steven M Holland30, Catherine M Biggs53, Marcela Moncada-Vélez3, Andrés Augusto Arias3,54,55, Lazaro Lorenzo1,2, Soraya Boucherit1,2, Dany Anglicheau56,57, Anna M Planas58,59, Filomeen Haerynck60, Sotirija Duvlis61,62, Tayfun Ozcelik63, Sevgi Keles64, Ahmed A Bousfiha65,66, Jalila El Bakkouri65,66, Carolina Ramirez-Santana67, Stéphane Paul68, Qiang Pan-Hammarström69, Lennart Hammarström69, Annabelle Dupont70, Alina Kurolap71, Christine N Metz72, Alessandro Aiuti73, Giorgio Casari73, Vito Lampasona74, Fabio Ciceri75, Lucila A Barreiros76, Elena Dominguez-Garrido77, Mateus Vidigal78, Mayana Zatz78, Diederik van de Beek79, Sabina Sahanic80, Ivan Tancevski80, Yurii Stepanovskyy81, Oksana Boyarchuk82, Yoko Nukui83, Miyuki Tsumura5, Loreto Vidaur84,45, Stuart G Tangye85,86, Sonia Burrel87, Darragh Duffy88, Lluis Quintana-Murci89,90, Adam Klocperk91, Nelli Y Kann92, Anna Shcherbina92, Yu-Lung Lau93, Daniel Leung93, Matthieu Coulongeat94, Julien Marlet95,96, Rutger Koning79, Luis Felipe Reyes97,98, Angélique Chauvineau-Grenier99, Fabienne Venet100,101,102, Guillaume Monneret100,102, Michel C Nussenzweig103,104, Romain Arrestier8,9, Idris Boudhabhay56,57, Hagit Baris-Feldman71,105, David Hagin105,106, Joost Wauters107, Isabelle Meyts108,109, Adam H Dyer110,111, Sean P Kennelly110,111, Nollaig M Bourke111, Rabih Halwani112,113, Fatemeh Saheb Sharif-Askari112, Karim Dorgham114, Jérôme Sallette115, Souad Mehlal Sedkaoui115, Suzan AlKhater116,117, Raúl Rigo-Bonnin118, Francisco Morandeira119, Lucie Roussel120,121, Donald C Vinh120,121, Christian Erikstrup122, Antonio Condino-Neto76, Carolina Prando123, Anastasiia Bondarenko81, András N Spaan3,124, Laurent Gilardin125,126, Jacques Fellay127,128,129, Stanislas Lyonnet130, Kaya Bilguvar131,132,133,134, Richard P Lifton58,131,132, Shrikant Mane132, Mark S Anderson59, Bertrand Boisson1,2,3, Vivien Béziat1,2,3, Shen-Ying Zhang1,2,3, Evangelos Andreakos39, Olivier Hermine2,60, Aurora Pujol135,136,137, Pärt Peterson7, Trine H Mogensen138,139, Lee Rowen41, James Mond140, Stéphanie Debette141,142, Xavier de Lamballerie143, Charles Burdet144,145,146, Lila Bouadma145,147, Marie Zins148, Pere Soler-Palacin6, Roger Colobran149, Guy Gorochov114,150, Xavier Solanich151, Sophie Susen70, Javier Martinez-Picado152,153,154,137,155, Didier Raoult27, Marc Vasse156, Peter K Gregersen72, Lorenzo Piemonti74, Carlos Rodríguez-Gallego46,157, Luigi D Notarangelo30, Helen C Su30,158, Kai Kisand7, Satoshi Okada5, Anne Puel1,2,3, Emmanuelle Jouanguy1,2,3, Charles M Rice4, Pierre Tiberghien16,17, Qian Zhang1,2,3, Jean-Laurent Casanova1,2,3,104, Laurent Abel1,2,3, Aurélie Cobat1,2,3.
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection fatality rate (IFR) doubles with every 5 y of age from childhood onward. Circulating autoantibodies neutralizing IFN-α, IFN-ω, and/or IFN-β are found in ∼20% of deceased patients across age groups, and in ∼1% of individuals aged <70 y and in >4% of those >70 y old in the general population. With a sample of 1,261 unvaccinated deceased patients and 34,159 individuals of the general population sampled before the pandemic, we estimated both IFR and relative risk of death (RRD) across age groups for individuals carrying autoantibodies neutralizing type I IFNs, relative to noncarriers. The RRD associated with any combination of autoantibodies was higher in subjects under 70 y old. For autoantibodies neutralizing IFN-α2 or IFN-ω, the RRDs were 17.0 (95% CI: 11.7 to 24.7) and 5.8 (4.5 to 7.4) for individuals <70 y and ≥70 y old, respectively, whereas, for autoantibodies neutralizing both molecules, the RRDs were 188.3 (44.8 to 774.4) and 7.2 (5.0 to 10.3), respectively. In contrast, IFRs increased with age, ranging from 0.17% (0.12 to 0.31) for individuals <40 y old to 26.7% (20.3 to 35.2) for those ≥80 y old for autoantibodies neutralizing IFN-α2 or IFN-ω, and from 0.84% (0.31 to 8.28) to 40.5% (27.82 to 61.20) for autoantibodies neutralizing both. Autoantibodies against type I IFNs increase IFRs, and are associated with high RRDs, especially when neutralizing both IFN-α2 and IFN-ω. Remarkably, IFRs increase with age, whereas RRDs decrease with age. Autoimmunity to type I IFNs is a strong and common predictor of COVID-19 death.Entities:
Keywords: COVID-19; autoantibodies; infection fatality rate; relative risk; type I IFNs
Mesh:
Substances:
Year: 2022 PMID: 35576468 PMCID: PMC9173764 DOI: 10.1073/pnas.2200413119
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN: 0027-8424 Impact factor: 12.779
Lines of evidence suggesting that auto-Abs against type I IFNs are strong determinants of the risk of life-threatening COVID-19
| Evidence | Examples | References |
|---|---|---|
| Auto-Abs against type I IFNs are present before SARS-CoV-2 infection | In patients for whom a sample collected before the COVID-19 pandemic was available, the auto-Abs were found to preexist infection. | ( |
| These auto-Abs are found in the uninfected general population, and their prevalence increases after the age of 65 y. | ( | |
| Auto-Abs are associated with COVID-19 severity | Patients with inborn errors underlying these auto-Abs from infancy onward (e.g., APS-1) have a very high risk of developing critical COVID-19 pneumonia. | ( |
| The population of patients with critical disease includes a higher proportion of individuals producing these auto-Abs than the population of patients with silent or mild infection (ORs depending on the nature, number, and concentrations of type I IFN neutralized). | ( | |
| The results concerning the proportions of critical cases with auto-Abs against type I IFNs have already been replicated in >15 different cities (Americas, Europe, Asia). | ( | |
| Auto-Abs against type I IFNs neutralize host antiviral activity | These auto-Abs neutralize the antiviral activity of type I IFNs against SARS-CoV-2 in vitro. | ( |
| These auto-Abs are found in vivo in the blood of SARS-CoV-2-infected patients, where they neutralize type I IFN. | ( | |
| These auto-Abs are found in vivo in the respiratory tract of patients, where they neutralize type I IFN. | ( | |
| A key virulence factor of SARS-CoV-2 in vitro is its capacity to impair type I IFN immunity. | ( | |
| Animals with type I IFN deficiency develop critical disease, including animals treated with mAbs that neutralize type I IFNs. | ( | |
| Auto-Abs against cytokines are clinical phenocopies of the corresponding inborn errors | Patients with auto-Abs against type I IFNs are phenocopies of IFNAR1−/−, IFNAR2−/−, and IRF7−/− patients with critical COVID-19 pneumonia. | ( |
| Patients with auto-Abs against IL-6, IL-17, GM-CSF, and type II IFN are phenocopies of the corresponding inborn errors and underlie staphylococcal disease, mucocutaneous candidiasis, nocardiosis, and mycobacterial diseases, respectively. | ( |
Characteristics of the general population cohort and of the cohort of patients who died from COVID-19
| Neutralization 100 pg/mL | Neutralization 10 ng/mL | |||
|---|---|---|---|---|
| Characteristics | General population ( | Deceased patients ( | General population ( | Deceased patients ( |
| Male – no. (percent) | 5,429 (50.4) | 821 (73.2) | 17,859 (52.3) | 805 (73.5) |
| Mean age ± SD | 62.3 ± 17.2 | 70.7 ± 13.0 | 52.7 ± 18.2 | 70.6 ± 13.1 |
| Age distribution – no. (percent) | ||||
| 20 y to 39 y | 1,251 (11.6) | 17 (1.5) | 9,102 (26.6) | 15 (1.4) |
| 40 y to 49 y | 1,459 (13.5) | 43 (3.8) | 5,403 (15.8) | 47 (4.3) |
| 50 y to 59 y | 1,736 (16.1) | 144 (12.8) | 6,414 (18.9) | 152 (13.9) |
| 60 y to 69 y | 2,475 (23.0) | 307 (27.4) | 6,881 (20.1) | 289 (26.4) |
| 70 y to 79 y | 1,790 (16.6) | 307 (27.4) | 3,721 (10.9) | 296 (27.1) |
| ≥80 y | 2,067 (19.2) | 303 (27.0) | 2,638 (7.7) | 295 (27.0) |
| Auto-Ab – no. of carriers (percent) | ||||
| IFN-α2 and IFN-ω | 65 (0.6) | 102 (9.1) | 45 (0.1) | 75 (6.8) |
| IFN-α2 or IFN-ω | 246 (2.3) | 203 (18.1) | 181 (0.5) | 130 (11.9) |
| IFN-α2 | 151 (1.4) | 140 (12.5) | 117 (0.3) | 118 (10.8) |
| IFN-ω | 160 (1.5) | 165 (14.7) | 109 (0.3) | 87 (8.0) |
| IFN-β | NA | NA | 24 (0.3) | 6 (0.9) |
NA, not available.
*Age is given in years and corresponds to age at the time of recruitment for members of the general population cohort (controls) and age at death for COVID-19 patients.
†IFN-β neutralization experiments were performed only for a concentration of 10 ng/mL, on 9,126 individuals (49.5% male, mean age 60.6 y) from the general population and 636 COVID-19 patients (71.1% male, mean age 72.9 y).
Fig. 1.RRDs for individuals with auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω relative to individuals without such auto-Abs, by age and sex. RRDs are displayed on a logarithmic scale (A) for six age classes and (B) for male and female subjects under and over the age of 70 y. Vertical bars represent the 95% CI.
Fig. 2.RRDs for individuals with auto-Abs neutralizing different combinations of type I IFNs relative to individuals without such auto-Abs, by age. RRDs are displayed on a logarithmic scale for individuals under and over 70 y of age with (A) auto-Abs neutralizing low concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, and IFN-ω and (B) auto-Abs neutralizing high concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, IFN-ω, and IFN-β, relative to individuals without such combinations of auto-Abs. Vertical bars represent the 95% CI.
Fig. 3.SARS-CoV-2 IFRs by age. IFRs are provided for the general population for both sexes (gray) and for males only (blue), from the data of O’Driscoll et al. (6); IFRAAB (green) are shown for individuals carrying auto-Abs neutralizing low concentrations of IFN-α2 or IFN-ω. Auto-Abs against type I IFNs are associated with high RRDs and strongly increase the IFR, to a much greater extent than being male, and, by inference, than other common classical risk factors providing ORs of death similar to that for being male (around two), such as certain comorbid conditions, or the most significant common genetic variant on chromosome 3 (5).
Fig. 4.SARS-CoV-2 IFRs for carriers of various combinations of neutralizing auto-Abs, by age. IFRAAB values (percent) are displayed, on a logarithmic scale, by age, for individuals with (A) auto-Abs neutralizing low concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, and IFN-ω and (B) auto-Abs neutralizing high concentrations of IFN-α2 and IFN-ω, IFN-α2 or IFN-ω, IFN-α2, IFN-ω, and IFN-β. Vertical bars represent the 95% CI. Horizontal black lines represent the IFR provided by O’Driscoll et al. (6).