Autoimmune anti-DNA and anti-phosphatidylserine antibodies predict development of severe COVID-19
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Abstract
High levels of autoimmune antibodies are observed in COVID-19 patients but their specific contribution to disease severity and clinical manifestations remains poorly understood. We performed a retrospective study of 115 COVID-19 hospitalized patients with different degrees of severity to analyze the generation of autoimmune antibodies to common antigens: a lysate of erythrocytes, the lipid phosphatidylserine (PS) and DNA. High levels of IgG autoantibodies against erythrocyte lysates were observed in a large percentage (up to 36%) of patients. Anti-DNA and anti-PS antibodies determined upon hospital admission correlated strongly with later development of severe disease, showing a positive predictive value of 85.7% and 92.8%, respectively. Patients with positive values for at least one of the two autoantibodies accounted for 24% of total severe cases. Statistical analysis identified strong correlations between anti-DNA antibodies and markers of cell injury, coagulation, neutrophil levels and erythrocyte size. Anti-DNA and anti-PS autoantibodies may play an important role in the pathogenesis of COVID-19 and could be developed as predictive biomarkers for disease severity and specific clinical manifestations.
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SciScore for 10.1101/2021.01.04.20249054: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Bioethics statement: The collection of COVID-19 human biospecimens for research has been approved by NYULH Institutional Review Board under the S16–00122 Universal Mechanism of human bio-specimen collection and storage for research. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Antibodies Sentences Resources Plates were washed again 3 times and incubated with a polyclonal goat anti-human IgG-HRP diluted 1:500 (Invitrogen) for 1 h at 37°C. anti-human IgG-HRPsuggested: NoneSoftware and Algorithms Sentences Resources Excel worksheets were generated using the Infragistics Excel … SciScore for 10.1101/2021.01.04.20249054: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
Institutional Review Board Statement IRB: Bioethics statement: The collection of COVID-19 human biospecimens for research has been approved by NYULH Institutional Review Board under the S16–00122 Universal Mechanism of human bio-specimen collection and storage for research. Randomization not detected. Blinding not detected. Power Analysis not detected. Sex as a biological variable not detected. Table 2: Resources
Antibodies Sentences Resources Plates were washed again 3 times and incubated with a polyclonal goat anti-human IgG-HRP diluted 1:500 (Invitrogen) for 1 h at 37°C. anti-human IgG-HRPsuggested: NoneSoftware and Algorithms Sentences Resources Excel worksheets were generated using the Infragistics Excel Engine™ software library (Infragistics, Inc., Cranbury, NJ) which synchronized the data records obtained from the NYU COVID-19 database with deidentified ID numbers which correspond to patient samples. Excel Engine™suggested: NoneStatistical analysis: Data were analyzed using GraphPad Prism v8. GraphPad Prismsuggested: (GraphPad Prism, RRID:SCR_002798)Results from OddPub: We did not detect open data. We also did not detect open code. Researchers are encouraged to share open data when possible (see Nature blog).
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
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