Global absence and targeting of protective immune states in severe COVID-19.

Alexis J Combes, Tristan Courau, Nicholas F Kuhn, Kenneth H Hu, Arja Ray, William S Chen, Nayvin W Chew, Simon J Cleary, Divyashree Kushnoor, Gabriella C Reeder, Alan Shen, Jessica Tsui, Kamir J Hiam-Galvez, Priscila Muñoz-Sandoval, Wandi S Zhu, David S Lee, Yang Sun, Ran You, Mélia Magnen, Lauren Rodriguez, K W Im, Nina K Serwas, Aleksandra Leligdowicz, Colin R Zamecnik, Rita P Loudermilk, Michael R Wilson, Chun J Ye, Gabriela K Fragiadakis, Mark R Looney, Vincent Chan, Alyssa Ward, Sidney Carrillo, UCSF COMET Consortium, Michael Matthay, David J Erle, Prescott G Woodruff, Charles Langelier, Kirsten Kangelaris, Carolyn M Hendrickson, Carolyn Calfee, Arjun Arkal Rao, Matthew F Krummel
Author Information
  1. Alexis J Combes: Department of Pathology, University of California San Francisco, San Francisco, CA, USA. Alexis.Combes@ucsf.edu. ORCID
  2. Tristan Courau: Department of Pathology, University of California San Francisco, San Francisco, CA, USA. ORCID
  3. Nicholas F Kuhn: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  4. Kenneth H Hu: Department of Pathology, University of California San Francisco, San Francisco, CA, USA. ORCID
  5. Arja Ray: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  6. William S Chen: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  7. Nayvin W Chew: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  8. Simon J Cleary: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  9. Divyashree Kushnoor: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  10. Gabriella C Reeder: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  11. Alan Shen: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  12. Jessica Tsui: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  13. Kamir J Hiam-Galvez: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  14. Priscila Muñoz-Sandoval: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  15. Wandi S Zhu: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  16. David S Lee: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  17. Yang Sun: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  18. Ran You: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  19. Mélia Magnen: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  20. Lauren Rodriguez: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  21. K W Im: Department of Pathology, University of California San Francisco, San Francisco, CA, USA.
  22. Nina K Serwas: Department of Pathology, University of California San Francisco, San Francisco, CA, USA. ORCID
  23. Aleksandra Leligdowicz: Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  24. Colin R Zamecnik: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  25. Rita P Loudermilk: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  26. Michael R Wilson: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  27. Chun J Ye: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  28. Gabriela K Fragiadakis: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  29. Mark R Looney: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  30. Vincent Chan: Department of Pathology, University of California San Francisco, San Francisco, CA, USA. ORCID
  31. Alyssa Ward: Institute for Human Genetics, University of California San Francisco, San Francisco, CA, USA.
  32. Sidney Carrillo: Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  33. Michael Matthay: Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA. ORCID
  34. David J Erle: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA. ORCID
  35. Prescott G Woodruff: ImmunoX Initiative, University of California San Francisco, San Francisco, CA, USA.
  36. Charles Langelier: Division of Infectious Disease, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  37. Kirsten Kangelaris: Division of Hospital Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  38. Carolyn M Hendrickson: Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  39. Carolyn Calfee: Division of Pulmonary and Critical Care Medicine, Department of Medicine, University of California San Francisco, San Francisco, CA, USA.
  40. Arjun Arkal Rao: Department of Pathology, University of California San Francisco, San Francisco, CA, USA. ArjunArkal.Rao@ucsf.edu. ORCID
  41. Matthew F Krummel: Department of Pathology, University of California San Francisco, San Francisco, CA, USA. Matthew.Krummel@ucsf.edu. ORCID

Abstract

Although infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has pleiotropic and systemic effects in some individuals, many others experience milder symptoms. Here, to gain a more comprehensive understanding of the distinction between severe and mild phenotypes in the pathology of coronavirus disease 2019 (COVID-19) and its origins, we performed a whole-blood-preserving single-cell analysis protocol to integrate contributions from all major immune cell types of the blood-including neutrophils, monocytes, platelets, lymphocytes and the contents of the serum. Patients with mild COVID-19 exhibit a coordinated pattern of expression of interferon-stimulated genes (ISGs) across every cell population, whereas these ISG-expressing cells are systemically absent in patients with severe disease. Paradoxically, individuals with severe COVID-19 produce very high titres of anti-SARS-CoV-2 antibodies and have a lower viral load compared to individuals with mild disease. Examination of the serum from patients with severe COVID-19 shows that these patients uniquely produce antibodies that functionally block the production of the ISG-expressing cells associated with mild disease, by activating conserved signalling circuits that dampen cellular responses to interferons. Overzealous antibody responses pit the immune system against itself in many patients with COVID-19, and perhaps also in individuals with other viral infections. Our findings reveal potential targets for immunotherapies in patients with severe COVID-19 to re-engage viral defence.

References

  1. Mathew, D. et al. Deep immune profiling of COVID-19 patients reveals distinct immunotypes with therapeutic implications. Science 369, eabc8511 (2020). [DOI: 10.1126/science.abc8511]
  2. Schulte-Schrepping, J. et al. Severe COVID-19 is marked by a dysregulated myeloid cell compartment. Cell 182, 1419–1440 (2020). [DOI: 10.1016/j.cell.2020.08.001]
  3. Hadjadj, J. et al. Impaired type I interferon activity and inflammatory responses in severe COVID-19 patients. Science 369, 718–724 (2020). [DOI: 10.1126/science.abc6027]
  4. Zilionis, R. et al. Single-cell transcriptomics of human and mouse lung cancers reveals conserved myeloid populations across individuals and species. Immunity 50, 1317–1334 (2019). [DOI: 10.1016/j.immuni.2019.03.009]
  5. Huang, I. C. et al. Distinct patterns of IFITM-mediated restriction of filoviruses, SARS coronavirus, and influenza A virus. PLoS Pathog. 7, e1001258 (2011). [DOI: 10.1371/journal.ppat.1001258]
  6. Reyes, M. et al. An immune-cell signature of bacterial sepsis. Nat. Med. 26, 333–340 (2020). [DOI: 10.1038/s41591-020-0752-4]
  7. Davizon-Castillo, P., Rowley, J. W. & Rondina, M. T. Megakaryocyte and platelet transcriptomics for discoveries in human health and disease. Arterioscler. Thromb. Vasc. Biol. 40, 1432–1440 (2020). [DOI: 10.1161/ATVBAHA.119.313280]
  8. Mason, K. D. et al. Programmed anuclear cell death delimits platelet life span. Cell 128, 1173–1186 (2007). [DOI: 10.1016/j.cell.2007.01.037]
  9. Bongiovanni, D. et al. Transcriptome analysis of reticulated platelets reveals a prothrombotic profile. Thromb. Haemost. 119, 1795–1806 (2019). [DOI: 10.1055/s-0039-1695009]
  10. Chen, W. S. et al. Uncovering axes of variation among single-cell cancer specimens. Nat. Methods 17, 302–310 (2020). [DOI: 10.1038/s41592-019-0689-z]
  11. Pujadas, E. et al. SARS-CoV-2 viral load predicts COVID-19 mortality. Lancet Respir. Med. 8, e70 (2020). [DOI: 10.1016/S2213-2600(20)30354-4]
  12. Hue, S. et al. Uncontrolled innate and impaired adaptive immune responses in patients with COVID-19 ARDS. Am. J. Respir. Crit. Care Med. 202, 1509–1519 (2020). [DOI: 10.1164/rccm.202005-1885OC]
  13. Wang, Y. et al. Kinetics of viral load and antibody response in relation to COVID-19 severity. J. Clin. Invest. 130, 5235–5244 (2020). [DOI: 10.1172/JCI138759]
  14. Bastard, P. et al. Autoantibodies against type I IFNs in patients with life-threatening COVID-19. Science 370, eabd4585 (2020). [DOI: 10.1126/science.abd4585]
  15. Michalska, A., Blaszczyk, K., Wesoly, J. & Bluyssen, H. A. R. A positive feedback amplifier circuit that regulates interferon (IFN)-stimulated gene expression and controls type I and type II IFN responses. Front. Immunol. 9, 1135 (2018). [DOI: 10.3389/fimmu.2018.01135]
  16. Dhodapkar, K. M. et al. Selective blockade of the inhibitory Fcγ receptor (FcγRIIB) in human dendritic cells and monocytes induces a type I interferon response program. J. Exp. Med. 204, 1359–1369 (2007). [DOI: 10.1084/jem.20062545]
  17. Bournazos, S., Corti, D., Virgin, H. W. & Ravetch, J. V. Fc-optimized antibodies elicit CD8 immunity to viral respiratory infection. Nature 588, 485–490 (2020). [DOI: 10.1038/s41586-020-2838-z]
  18. Zuo, Y. et al. Prothrombotic autoantibodies in serum from patients hospitalized with COVID-19. Sci. Transl. Med. 12, eabd3876 (2020). [DOI: 10.1126/scitranslmed.abd3876]
  19. Consiglio, C. R. et al., The immunology of multisystem inflammatory syndrome in children with COVID-19. Cell 183, 968–981 (2020). [DOI: 10.1016/j.cell.2020.09.016]
  20. Chakraborty, S. et al. Proinflammatory IgG Fc structures in patients with severe COVID-19. Nat. Immunol. 22, 67–73 (2021). [DOI: 10.1038/s41590-020-00828-7]
  21. Huang, H., Benoist, C. & Mathis, D. Rituximab specifically depletes short-lived autoreactive plasma cells in a mouse model of inflammatory arthritis. Proc. Natl Acad. Sci. USA 107, 4658–4663 (2010). [DOI: 10.1073/pnas.1001074107]
  22. John Looney, R. & Huggins, J. Use of intravenous immunoglobulin G (IVIG). Best Pract. Res. Clin. Haematol. 19, 3–25 (2006). [DOI: 10.1016/j.beha.2005.01.032]
  23. Villani, A.-C. et al. Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors. Science 356, eaah4573 (2017). [DOI: 10.1126/science.aah4573]
  24. Argüello, R. J. et al. SCENITH: a flow cytometry-based method to functionally profile energy metabolism with single-cell resolution. Cell Metab. 32, 1063–1075 (2020). [DOI: 10.1016/j.cmet.2020.11.007]

Grants

  1. 3U19AI077439-13S1/NIH HHS
  2. R01 AI052116/NIAID NIH HHS
  3. R35 HL140026/NHLBI NIH HHS
  4. R01 AI52116-S1/NIH HHS
  5. P30 AR070155/NIAMS NIH HHS
  6. K23 HL133495/NHLBI NIH HHS
  7. U19 AI077439/NIAID NIH HHS

MeSH Term

Antibodies, Viral
Antibody Formation
Base Sequence
COVID-19
Female
Humans
Immunoglobulin G
Interferons
Male
Neutrophils
Protein Domains
Receptor, Interferon alpha-beta
Receptors, IgG
SARS-CoV-2
Single-Cell Analysis
Viral Load

Chemicals

Antibodies, Viral
IFNAR1 protein, human
Immunoglobulin G
Receptors, IgG
Receptor, Interferon alpha-beta
Interferons