Type I interferon autoantibodies are associated with systemic immune alterations in patients with COVID-19

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Updated February 18, 2025

Neutralizing autoantibodies against type I interferons (IFNs) have been found in some patients with critical coronavirus disease 2019 (COVID-19), the disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, the prevalence of these antibodies, their longitudinal dynamics across the disease severity scale, and their functional effects on circulating leukocytes remain unknown. Here, in 284 patients with COVID-19, we found type I IFN–specific autoantibodies in peripheral blood samples from 19% of patients with critical disease and 6% of patients with severe disease. We found no type I IFN autoantibodies in individuals with moderate disease. Longitudinal profiling of over 600,000 peripheral blood mononuclear cells using multiplexed single-cell epitope and transcriptome sequencing from 54 patients with COVID-19 and 26 non–COVID-19 controls revealed a lack of type I IFN–stimulated gene (ISG-I) responses in myeloid cells from patients with critical disease. This was especially evident in dendritic cell populations isolated from patients with critical disease producing type I IFN–specific autoantibodies. Moreover, we found elevated expression of the inhibitory receptor leukocyte-associated immunoglobulin-like receptor 1 (LAIR1) on the surface of monocytes isolated from patients with critical disease early in the disease course. LAIR1 expression is inversely correlated with ISG-I expression response in patients with COVID-19 but is not expressed in healthy controls. The deficient ISG-I response observed in patients with critical COVID-19 with and without type I IFN–specific autoantibodies supports a unifying model for disease pathogenesis involving ISG-I suppression through convergent mechanisms.

Jean-Laurent CasanovaNecker Hospital for Sick Childrencasanova@rockefeller.edu
Joseph L DerisiUniversity of California, San Franciscojoe@derisilab.ucsf.edu
Mark S AndersonUniversity of California, San Franciscomark.anderson@ucsf.edu
Chun Jimmie YeUniversity of California, San Francisco; Institute of Human Geneticsjimmie.ye@ucsf.edu
Monique GP van der Wijst1
Sara E Vazquez2
George C Hartoularos3
Paul Bastard4
Tianna Grant3
Raymund Bueno3
David S Lee3
John R Greenland5
Yang Sun3
Richard Perez3
Anton Ogorodnikov3
Alyssa Ward3
Sabrina A Mann2
Kara L Lynch6
Cassandra Yun6
Diane V Havlir2
Gabriel Chamie2
Carina Marquez2
Bryan Greenhouse2
Michail S Lionakis7
Philip J Norris6
LarryJ Dumont8
Kathleen Kelly8
Peng Zhang9
Qian Zhang9
Adrian Gervais10
Tom Le Voyer10
Alexander Whatley11
Yichen Si12
Ashley Byrne13
Alexis J Combes2
Arjun Arkal Rao2
Yun S Song13
Gabriela K Fragiadakis2
Kirsten Kangelaris2
Carolyn S Calfee2
David J Erle3
Carolyn Hendrickson2
Matthew F Krummel2
Prescott G Woodruff2
Charles R Langelier2
Jean-Laurent Casanova4
Joseph L Derisi2
Mark S Anderson2
Chun Jimmie Ye3
1University Medical Center Groningen
2University of California, San Francisco
3University of California, San Francisco; Institute of Human Genetics
4Necker Hospital for Sick Children
5University of California, San Francisco; San Francisco Veterans Affairs Health Care System
6Zuckerberg San Francisco General
7National Institute of Allergy and Infectious Diseases (NIAID); National Institutes of Health (NIH)
8Vitalant Research Institute
9Rockefeller University
10University of Paris; Imagine Institute
11University of California, Berkeley
12University of Michigan
13Chan Zuckerberg Biohub
Ida Zucchi

To reference this project, please use the following link:

https://explore.data.humancellatlas.org/projects/90588227-d8c1-47ee-a397-0d0b1d79aea9
None
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GEO Series Accessions:
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Atlas

ImmuneImmune v1.0

Analysis Portals

None

Project Label

IFNAutoantibodiesVanDerWijst

Species

Homo sapiens

Sample Type

specimens

Anatomical Entity

blood

Organ Part

Unspecified

Selected Cell Types

peripheral blood mononuclear cell

Disease Status (Specimen)

3 disease statuses

Disease Status (Donor)

6 disease statuses

Development Stage

human adult stage

Library Construction Method

10x immune profiling

Nucleic Acid Source

single cell

Paired End

false

Analysis Protocol

imputed_genotypes, raw_matrix_generation_1_7, raw_matrix_generation_8_10

File Format

6 file formats

Cell Count Estimate

600.9k

Donor Count

80
csv.gz1 file(s)fastq.gz1,192 file(s)h5.gz50 file(s)tsv.gz9 file(s)vcf.gz9 file(s)xlsx2 file(s)
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