Autoantibodies targeting cytokines and connective tissue disease autoantigens are common in acute non-SARS-CoV-2 infections.
| Title: | Autoantibodies targeting cytokines and connective tissue disease autoantigens are common in acute non-SARS-CoV-2 infections. |
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| Authors: | Feng A; Yang E; Stanford University School of Medicine.; Moore A; Stanford University.; Dhingra S; Stanford University School of Medicine.; Chang S; Stanford University School of Medicine.; Yin X; Stanford University School of Medicine.; Pi R; Stanford University School of Medicine.; Mack E; University of Marburg.; Völkel S; Philipps-Universität Marburg.; Geßner R; University of Marburg.; Gundisch M; University of Marburg.; Neubauer A; University of Marburg.; Renz H; Philipps University Marburg.; Tsiodras S; Hellenic Center for Disease Control.; Fragkou P; Attikon University Hospital.; Asuni A; Stanford University School of Medicine.; Levitt J; Stanford University School of Medicine.; Wilson J; Stanford University.; Leong M; Stanford University School of Medicine.; Lumb J; Stanford University.; Mao R; Stanford University.; Pinedo K; Stanford University School of Medicine.; Roque J; Stanford University.; Richards C; Stanford University School of Medicine.; Stabile M; Stanford University School of Medicine.; Swaminathan G; Stanford University School of Medicine.; Salagianni M; Academy of Athens.; Triantafyllia V; Biomedical Research Foundation Academy of Athens.; Bertrams W; Philipp University of Marburg.; Blish C; Stanford University.; Carette J; Stanford University School of Medicine.; Frankovich J; Stanford University.; Meffre E; Yale University School of Medicine.; Nadeau KC; Stanford University.; Singh U; Stanford University.; Wang T; Stanford University.; Prak EL; University of Pennsylvania.; Herold S; a.; Andreakos E; Biomedical Research Foundation, Academy of Athens.; Schmeck B; Universitätsklinikum Gießen und Marburg.; Skevaki C; Institute of Laboratory Medicine.; Rogers A; Stanford University.; Utz P; Stanford University School of Medicine. |
| Source: | Research square [Res Sq] 2022 Jan 20. Date of Electronic Publication: 2022 Jan 20. |
| Publication Type: | Preprint; Journal Article |
| Language: | English |
| Journal Info: | Country of Publication: United States NLM ID: 101768035 Publication Model: Electronic Cited Medium: Internet ISSN: 2693-5015 (Electronic) Linking ISSN: 26935015 NLM ISO Abbreviation: Res Sq Subsets: PubMed not MEDLINE |
| Abstract: | The widespread presence of autoantibodies in acute infection with severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is increasingly recognized, but the prevalence of autoantibodies in infections with organisms other than SARS-CoV-2 has not yet been reported. We used protein arrays to profile IgG autoantibodies from 317 samples from 268 patients across a spectrum of non-SARS-CoV-2 infections, many of whom were critically ill with pneumonia. Anti-cytokine antibodies (ACA) were identified in > 50% of patients infected with non-SARS-CoV-2 viruses and other pathogens, including patients with pneumonia attributed to bacterial causes. In cell-based functional assays, some ACA blocked binding to surface receptors for type I interferons (Type I IFN), granulocyte-macrophage colony-stimulating factor (GM-CSF), and interleukin-6 (IL-6). Autoantibodies against traditional autoantigens associated with connective tissue diseases (CTDs) were also commonly observed in these cohorts, including newly-detected antibodies that emerged in longitudinal samples from patients infected with influenza. We conclude that autoantibodies, some of which are functionally active, may be much more prevalent than previously appreciated in patients who are symptomatically infected with diverse pathogens. |
| Grant Information: | R01 AI125197 United States AI NIAID NIH HHS; U54 CA260517 United States CA NCI NIH HHS; U19 AI057229 United States AI NIAID NIH HHS; K23 HL125663 United States HL NHLBI NIH HHS; UM1 AI144288 United States AI NIAID NIH HHS; UC4 DK112217 United States DK NIDDK NIH HHS; U19 AI111825 United States AI NIAID NIH HHS; R01 AI139119 United States AI NIAID NIH HHS |
| Entry Date(s): | Date Created: 20220125 Latest Revision: 20231020 |
| Update Code: | 20260130 |
| PubMed Central ID: | PMC8786233 |
| DOI: | 10.21203/rs.3.rs-1233038/v1 |
| PMID: | 35075455 |
| Database: | MEDLINE |
Preprint; Journal Article