Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2022 May 24;119(21):e2200413119.
doi: 10.1073/pnas.2200413119. Epub 2022 May 16.

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

Jérémy Manry  1   2 Paul Bastard  1   2   3 Adrian Gervais  1   2 Tom Le Voyer  1   2 Jérémie Rosain  1   2 Quentin Philippot  1   2 Eleftherios Michailidis  4 Hans-Heinrich Hoffmann  4 Shohei Eto  5 Marina Garcia-Prat  6 Lucy Bizien  1   2 Alba Parra-Martínez  6 Rui Yang  3 Liis Haljasmägi  7 Mélanie Migaud  1   2 Karita Särekannu  7 Julia Maslovskaja  7 Nicolas de Prost  8   9 Yacine Tandjaoui-Lambiotte  10 Charles-Edouard Luyt  11   12 Blanca Amador-Borrero  13 Alexandre Gaudet  14   15 Julien Poissy  14   15 Pascal Morel  16   17 Pascale Richard  16 Fabrice Cognasse  18   19 Jesús Troya  20 Sophie Trouillet-Assant  21   22   23 Alexandre Belot  21   22   24   25 Kahina Saker  21   22 Pierre Garçon  26 Jacques G Rivière  6 Jean-Christophe Lagier  27 Stéphanie Gentile  28   29 Lindsey B Rosen  30 Elana Shaw  30 Tomohiro Morio  31 Junko Tanaka  32 David Dalmau  33   34 Pierre-Louis Tharaux  35 Damien Sene  13 Alain Stepanian  36   37 Bruno Mégarbane  38 Vasiliki Triantafyllia  39 Arnaud Fekkar  1   40 James R Heath  41 José Luis Franco  42 Juan-Manuel Anaya  43 Jordi Solé-Violán  44   45   46 Luisa Imberti  47 Andrea Biondi  48 Paolo Bonfanti  49 Riccardo Castagnoli  30   50 Ottavia M Delmonte  30 Yu Zhang  30   51 Andrew L Snow  52 Steven M Holland  30 Catherine M Biggs  53 Marcela Moncada-Vélez  3 Andrés Augusto Arias  3   54   55 Lazaro Lorenzo  1   2 Soraya Boucherit  1   2 Dany Anglicheau  56   57 Anna M Planas  58   59 Filomeen Haerynck  60 Sotirija Duvlis  61   62 Tayfun Ozcelik  63 Sevgi Keles  64 Ahmed A Bousfiha  65   66 Jalila El Bakkouri  65   66 Carolina Ramirez-Santana  67 Stéphane Paul  68 Qiang Pan-Hammarström  69 Lennart Hammarström  69 Annabelle Dupont  70 Alina Kurolap  71 Christine N Metz  72 Alessandro Aiuti  73 Giorgio Casari  73 Vito Lampasona  74 Fabio Ciceri  75 Lucila A Barreiros  76 Elena Dominguez-Garrido  77 Mateus Vidigal  78 Mayana Zatz  78 Diederik van de Beek  79 Sabina Sahanic  80 Ivan Tancevski  80 Yurii Stepanovskyy  81 Oksana Boyarchuk  82 Yoko Nukui  83 Miyuki Tsumura  5 Loreto Vidaur  84   45 Stuart G Tangye  85   86 Sonia Burrel  87 Darragh Duffy  88 Lluis Quintana-Murci  89   90 Adam Klocperk  91 Nelli Y Kann  92 Anna Shcherbina  92 Yu-Lung Lau  93 Daniel Leung  93 Matthieu Coulongeat  94 Julien Marlet  95   96 Rutger Koning  79 Luis Felipe Reyes  97   98 Angélique Chauvineau-Grenier  99 Fabienne Venet  100   101   102 Guillaume Monneret  100   102 Michel C Nussenzweig  103   104 Romain Arrestier  8   9 Idris Boudhabhay  56   57 Hagit Baris-Feldman  71   105 David Hagin  105   106 Joost Wauters  107 Isabelle Meyts  108   109 Adam H Dyer  110   111 Sean P Kennelly  110   111 Nollaig M Bourke  111 Rabih Halwani  112   113 Fatemeh Saheb Sharif-Askari  112 Karim Dorgham  114 Jérôme Sallette  115 Souad Mehlal Sedkaoui  115 Suzan AlKhater  116   117 Raúl Rigo-Bonnin  118 Francisco Morandeira  119 Lucie Roussel  120   121 Donald C Vinh  120   121 Christian Erikstrup  122 Antonio Condino-Neto  76 Carolina Prando  123 Anastasiia Bondarenko  81 András N Spaan  3   124 Laurent Gilardin  125   126 Jacques Fellay  127   128   129 Stanislas Lyonnet  130 Kaya Bilguvar  131   132   133   134 Richard P Lifton  58   131   132 Shrikant Mane  132 HGID LabCOVID CliniciansCOVID-STORM CliniciansNIAID Immune Response to COVID GroupNH-COVAIR Study GroupDanish CHGEDanish Blood Donor StudySt. James's Hospital, SARS CoV2 Interest GroupFrench COVID Cohort Study GroupImagine COVID-GroupMilieu Intérieur ConsortiumCoV-Contact CohortAmsterdam UMC Covid-19 Biobank InvestigatorsCOVID Human Genetic EffortCP-COVID-19 GroupCONSTANCES cohort3C-Dijon StudyCerba Health-CareEtablissement Français du Sang Study groupMark S Anderson  59 Bertrand Boisson  1   2   3 Vivien Béziat  1   2   3 Shen-Ying Zhang  1   2   3 Evangelos Andreakos  39 Olivier Hermine  2   60 Aurora Pujol  135   136   137 Pärt Peterson  7 Trine H Mogensen  138   139 Lee Rowen  41 James Mond  140 Stéphanie Debette  141   142 Xavier de Lamballerie  143 Charles Burdet  144   145   146 Lila Bouadma  145   147 Marie Zins  148 Pere Soler-Palacin  6 Roger Colobran  149 Guy Gorochov  114   150 Xavier Solanich  151 Sophie Susen  70 Javier Martinez-Picado  152   153   154   137   155 Didier Raoult  27 Marc Vasse  156 Peter K Gregersen  72 Lorenzo Piemonti  74 Carlos Rodríguez-Gallego  46   157 Luigi D Notarangelo  30 Helen C Su  30   158 Kai Kisand  7 Satoshi Okada  5 Anne Puel  1   2   3 Emmanuelle Jouanguy  1   2   3 Charles M Rice  4 Pierre Tiberghien  16   17 Qian Zhang  1   2   3 Jean-Laurent Casanova  1   2   3   104 Laurent Abel  1   2   3 Aurélie Cobat  1   2   3
Affiliations

The risk of COVID-19 death is much greater and age dependent with type I IFN autoantibodies

Jérémy Manry et al. Proc Natl Acad Sci U S A. .

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.

Keywords: COVID-19; autoantibodies; infection fatality rate; relative risk; type I IFNs.

PubMed Disclaimer

Conflict of interest statement

The authors declare a competing interest. J.-L.C. is an inventor on patent application PCT/US2021/042741, filed 22 July 2021, submitted by The Rockefeller University, which covers diagnosis of, susceptibility to, and treatment of viral disease and viral vaccines, including COVID-19 and vaccine-associated diseases. M.C.N. is an inventor on patent application PCT/US2021/070472 submitted by The Rockefeller University that covers neutralizing anti-SARS-CoV-2 antibodies and methods of the use thereof. M.C.N. reports being on the Scientific Advisory Board of Celldex and Frontier Biotechnologies. R.P.L. reports being a non-executive director of Roche.

Figures

Fig. 1.
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.
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.
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.
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).

Update of

  • The risk of COVID-19 death is much greater and age-dependent with type I IFN autoantibodies.
    Manry J, Bastard P, Gervais A, Le Voyer T, Rosain J, Philippot Q, Michailidis E, Hoffmann HH, Eto S, Garcia-Prat M, Bizien L, Parra-Martínez A, Yang R, Haljasmägi L, Migaud M, Särekannu K, Maslovskaja J, de Prost N, Tandjaoui-Lambiotte Y, Luyt CE, Amador-Borrero B, Gaudet A, Poissy J, Morel P, Richard P, Cognasse F, Troya J, Trouillet-Assant S, Belot A, Saker K, Garçon P, Rivière JG, Lagier JC, Gentile S, Rosen L, Shaw E, Morio T, Tanaka J, Dalmau D, Tharaux PL, Sene D, Stepanian A, Mégarbane B, Triantafyllia V, Fekkar A, Heath J, Franco J, Anaya JM, Solé-Violán J, Imberti L, Biondi A, Bonfanti P, Castagnoli R, Delmonte O, Zhang Y, Snow A, Holland S, Biggs C, Moncada-Vélez M, Arias A, Lorenzo L, Boucherit S, Anglicheau D, Planas A, Haerynck F, Duvlis S, Nussbaum R, Ozcelik T, Keles S, Bousfiha A, El Bakkouri J, Ramirez-Santana C, Paul S, Pan-Hammarstrom Q, Hammarstrom L, Dupont A, Kurolap A, Metz C, Aiuti A, Casari G, Lampasona V, Ciceri F, Barreiros L, Dominguez-Garrido E, Vidigal M, Zatz M, van de Beek D, Sahanic S, Tancevski I, Stepanovskyy Y, Boyarchuk O, Nukui Y, Tsumura M, Vidaur L, Tangye S, Burrel S, Duffy D, Quintana-Murci L, Klocperk A, Kann N, Shcherbina A, Lau YL, Leun… See abstract for full author list ➔ Manry J, et al. Res Sq [Preprint]. 2022 Jan 14:rs.3.rs-1225906. doi: 10.21203/rs.3.rs-1225906/v1. Res Sq. 2022. Update in: Proc Natl Acad Sci U S A. 2022 May 24;119(21):e2200413119. doi: 10.1073/pnas.2200413119. PMID: 35043109 Free PMC article. Updated. Preprint.

Comment in

References

    1. Hu B., Guo H., Zhou P., Shi Z. L., Characteristics of SARS-CoV-2 and COVID-19. Nat. Rev. Microbiol. 19, 141–154 (2021). - PMC - PubMed
    1. Telenti A., et al. , After the pandemic: Perspectives on the future trajectory of COVID-19. Nature 596, 495–504 (2021). - PubMed
    1. Zhang Q., Bastard P., Cobat A., Casanova J. L.; COVID Human Genetic Effort, Human genetic and immunological determinants of critical COVID-19 pneumonia. Nature 603, 587–598 (2022). - PMC - PubMed
    1. Pei S., Yamana T. K., Kandula S., Galanti M., Shaman J., Burden and characteristics of COVID-19 in the United States during 2020. Nature 598, 338–341 (2021). - PubMed
    1. Zhang Q., et al. ; COVID Human Genetic Effort, Life-threatening COVID-19: Defective interferons unleash excessive inflammation. Med (N Y) 1, 14–20 (2020). - PMC - PubMed

Publication types

LinkOut - more resources