Anti-interferon alpha autoantibodies and their significance in COVID-19

Cover Page

Cite item

Full Text

Abstract

During the last two years, treatment of patients with novel coronavirus infection COVID-19 remains an urgent health problem. Interferon proteins are known to play a significant role in antiviral immunity. Some pathological conditions are accompanied by production of neutralizing autologous immunoglobulins against own host interferons (auto-IFN-Abs). There is evidence that autoantibodies against interferons alpha and omega are detected in patients with life-threatening course of COVID-19 pneumonia. The aim of our study was to analyze prevalence of autoantibodies against interferon alpha in patients with COVID-19 coronavirus infection and assess their impact on clinical course of the disease. We examined 70 patients with severe COVID-19, who received inpatient treatment at the intensive care units. Serum autoantibodies against interferon alpha were determined on day 8–50 after disease onset by using solid-phase enzyme immunoassay (ELISA). Patients were divided into 2 groups: those with and without (group 2) autoantibodies against interferon alpha (group 1). Anti-COVID serum from 57 donors was used a control. Among patients, autoantibodies against interferon alpha were detected in 13 (18%) subjects, which level ranged from 26.8 to 1000 ng/ml. Among donors, auto-IFN-Abs were detected in 5 (8.8%) subjects at trace concentrations (from 1.65 to 12.0 ng/ml). Respiratory failure developed significantly more often in patients with auto-IFN-Abs. While analyzing laboratory parameters, it was noted that the concentration of C-reactive protein was significantly higher in the group of patients with auto-IFN-Abs. Mortality rate of patients with high auto-IFN-Abs levels was 60%. In conclusion, it was found that serum autoantibodies against IFN alpha in COVID-19 patients caused lung damage that significantly more often required hardware respiratory support, so comparable by duration with it for patients without auto-IFN-Abs. High concentrations of auto-IFN-Abs (more than 100 ng/ml) in patients with COVID-19 can be considered as a predictor of unfavorable disease outcome.

About the authors

S. S. Petrikov

N.V. Sklifosovsky Research Institute for Emergency Medicine of Moscow Healthcare Department

Email: PetrikovSS@sklif.mos.ru

RAS corresponding member, PhD, MD (Medicine), Professor, Director

Russian Federation, 129090, Moscow, Bolshaya Sukharevskaya sq., 3

N. V. Borovkova

N.V. Sklifosovsky Research Institute for Emergency Medicine of Moscow Healthcare Department

Email: BorovkovaNV@sklif.mos.ru

PhD, MD (Medicine), Head of the Department of Biotechnologies and Transfusiology

Russian Federation, 129090, Moscow, Bolshaya Sukharevskaya sq., 3

K. A. Popugaev

N.V. Sklifosovsky Research Institute for Emergency Medicine of Moscow Healthcare Department

Email: PopugaevKA@sklif.mos.ru

PhD, MD (Medicine), Head of the Regional Vascular Center of the State Medical Institution, Deputy Director

Russian Federation, 129090, Moscow, Bolshaya Sukharevskaya sq., 3

Mayya V. Storozheva

N.V. Sklifosovsky Research Institute for Emergency Medicine of Moscow Healthcare Department

Email: mayya.storozheva@yandex.ru
ORCID iD: 0000-0003-1927-2404

Researcher, Department of Biotechnology and Transfusiology

Russian Federation, 129090, Moscow, Bolshaya Sukharevskaya sq., 3

A. M. Kvasnikov

N.V. Sklifosovsky Research Institute for Emergency Medicine of Moscow Healthcare Department

Email: KvasnikovAM@sklif.mos.ru

Anesthesiologist and Emergency Physician, Intensive Care Unit

Russian Federation, 129090, Moscow, Bolshaya Sukharevskaya sq., 3

M. A. Godkov

N.V. Sklifosovsky Research Institute for Emergency Medicine of Moscow Healthcare Department

Author for correspondence.
Email: GodkovMA@sklif.mos.ru

PhD, MD (Medicine), Head of the Laboratory Diagnostics Department

Russian Federation, 129090, Moscow, Bolshaya Sukharevskaya sq., 3

References

  1. Bastard Р., Orlova Е., Sozaeva L., Lévy R., James A., Schmitt M.M., Ochoa S., Kareva M., Rodina Y., Gervais A., Voyer T.L., Rosain J., Philippot Q., Neehus A.L., Shaw E., Migaud M., Bizien L., Ekwall O., Berg S., Beccuti G., Ghizzoni L., Thiriez G., Pavot A., Goujard C., Frémond M.L., Carter E., Rothenbuhler A., Linglart A., Mignot B., Comte A., Cheikh N., Hermine O., Breivik L., Husebye E.S., Humbert S., Rohrlich P., Coaquette A., Vuoto F., Faure K., Mahlaoui N., Kotnik P., Battelino T., Trebušak Podkrajšek K., Kisand K., Ferré E.M.N., DiMaggio T., Rosen L.B., Burbelo P.D., McIntyre M., Kann N.Y., Shcherbina A., Pavlova M., Kolodkina A., Holland S.M., Zhang S.Y., Crow Y.J., Notarangelo L.D., Su H.C., Abel L., Anderson M.S., Jouanguy E., Neven B., Puel A., Casanova J.L., Lionakis M.S. Preexisting autoantibodies to type I IFNs underlie critical COVID-19 pneumonia in patients with APS-1. J. Exp. Med., 2021, vol. 218, no. 7: e20210554. doi: 10.1084/jem.20210554
  2. Bastard P., Rosen L.B., Zhang Q., Michailidis E., Hoffmann H.H., Zhang Y., Dorgham K., Philippot Q., Rosain J., Béziat V., Manry J., Shaw E., Haljasmägi L., Peterson P., Lorenzo L., Bizien L., Trouillet-Assant S., Dobbs K., de Jesus A.A., Belot A., Kallaste A., Catherinot E., Tandjaoui-Lambiotte Y., Le Pen J., Kerner G., Bigio B., Seeleuthner Y., Yang R., Bolze A., Spaan A.N., Delmonte O.M., Abers M.S., Aiuti A., Casari G., Lampasona V., Piemonti L., Ciceri F., Bilguvar K., Lifton R.P., Vasse M., Smadja D.M., Migaud M., Hadjadj J., Terrier B., Duffy D., Quintana-Murci L., van de Beek D., Roussel L., Vinh D.C., Tangye S.G., Haerynck F., Dalmau D., Martinez-Picado J., Brodin P., Nussenzweig M.C., Boisson-Dupuis S., Rodríguez-Gallego C., Vogt G., Mogensen T.H., Oler A.J., Gu J., Burbelo P.D., Cohen J.I., Biondi A., Bettini L.R., D’Angio M., Bonfanti P., Rossignol P., Mayaux J., Rieux-Laucat F., Husebye E.S., Fusco F., Ursini M.V., Imberti L., Sottini A., Paghera S., Quiros-Roldan E., Rossi C., Castagnoli R., Montagna D., Licari A., Marseglia G.L., Duval X., Ghosn J., Tsang J.S., Goldbach-Mansky R., Kisand K., Lionakis M.S., Puel A., Zhang S.Y., Holland S.M., Gorochov G., Jouanguy E., Rice C.M., Cobat A., Notarangelo L.D., Abel L., Su H.C., Casanova J.L. Autoantibodies against type I IFNs in patients with life-threatening COVID-19. Science, 2020, vol. 370, no. 6515: eabd4585. doi: 10.1126/science.abd4585
  3. Browne S.K. Anticytokine autoantibody-associated immunodeficiency. Annu. Rev. Immunol., 2014, no. 32, рр. 635–657. doi: 10.1146/annurev-immunol-032713-120222
  4. De Veer M.J., Holko M., Frevel M., Walker E., Der S., Paranjape J.M., Silverman R.H., Williams B.R. Functional classification of interferon-stimulated genes identified using microarrays. J. Leukoc. Biol., 2001, vol. 69, no. 6, рр. 912–920.
  5. Du Clos T.W. C-reactive protein as a regulator of autoimmunity and inflammation. Arthritis Rheum., 2003, vol. 48, no. 6, pp. 1475–1477. doi: 10.1002/art.11025
  6. Eklund C.M. Proinflammatory cytokines in CRP baseline regulation. Adv. Clin. Chem., 2009, no. 48, pp. 111–136. doi: 10.1016/s0065-2423(09)48005-3
  7. Fensterl V., Sen G.C. Interferons and viral infections. Biofactors, 2009, vol. 35, no. 1, рр. 14–20. doi: 10.1002/biof.6
  8. Ibrahim E.H. Anti-IFN autoantibodies are present in healthy Egyptian blood donors at low titer. Cell Immunol., 2011, vol. 271, no. 2, pp. 365–370. doi: 10.1016 /j.cellimm.2011.08.002
  9. Koning R., Bastard P., Casanova J.L., Brouwer M.C., van de Beek D. Autoantibodies against type I interferons are associated with multi-organ failure in COVID-19 patients. Intens. Care Med., 2021, vol. 47, no. 6, pp. 704–706. doi: 10.1007/s00134-021-06392-4
  10. Ku Ch.L., Chen I.T., Lai M.Z. Infection-induced inflammation from specific inborn errors of immunity to COVID-19. FEBS J., 2021, vol. 288, no. 17, pp. 5021–5041. doi: 10.1111/febs.15961
  11. Moiseeva O., Mallette F.A., Mukhopadhyay U.K., Moores A., Ferbeyre G. DNA Damage signaling and p53-dependent senescence after prolonged β-interferon stimulation. Mol. Biol. Cell., 2006, vol. 17, no. 4, рр. 1583–1592. doi: 10.1091/mbc.E05-09-0858
  12. Qu R., Hu L., Ling Y., Fang H., Zhang H., Liang S., He Z., Fang M., Li J., Li X., Chen C. C-reactive protein concentration as a risk predictor of mortality in intensive care unit: a multicenter, prospective, observational study. BMC Anesthesiol., 2020, vol. 20, no. 1: 292. doi: 10.1186/s12871-020-01207
  13. Rosenberg J.M., Maccari M.E., Barzaghi F., Allenspach E.J., Pignata C., Weber G., Torgerson T.R., Utz P.J, Bacchetta R. Affiliations expand neutralizing anti-cytokine autoantibodies against interferon-α in immunodysregulation polyendocrinopathy enteropathy X-linked. Front. Immunol, 2018, no. 9: 544. doi: 10.3389/fimmu.2018.00544
  14. Takaoka A., Hayakawa S., Yanai H., Stoiber D., Negishi H., Kikuchi H., Sasaki S., Imai K., Shibue T., Honda K., Taniguchi T. Integration of interferon-alpha/beta signalling to p53 responses in tumour suppression and antiviral defence. Nature, 2003, vol. 424, no. 6948, рр. 516–523. doi: 10.1038/nature01850
  15. Troya J., Bastard P., Planas-Serra L., Ryan P., Ruiz M., de Carranza M., Torres J., Martínez A., Abel L., Casanova J.L., Pujol A. Neutralizing autoantibodies to type I IFNs in >10% of patients with severe COVID-19 pneumonia hospitalized in Madrid, Spain. J. Clin. Immunol., 2021, vol. 41, no. 5, pp. 914–922. doi: 10.1007 / s10875-021-01036-0

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Figure 1. Distribution of patients in group 1 (A) and group 2 (B) according to the computed tomography-assessed lung damage volume

Download (48KB)
3. Figure 2. Mortality rate in patients with severe COVID-19 at low and high or no auto-IFN-Abs levels

Download (93KB)

Copyright (c) 2022 Petrikov S.S., Borovkova N.V., Popugaev K.A., Storozheva M.V., Kvasnikov A.M., Godkov M.A.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).