Autoantibodies against apolipoprotein A-1 after COVID-19 predict symptoms persistence.
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BORIS DOI
Date of Publication
October 2022
Publication Type
Article
Division/Institute
Author
L'Huillier, Arnaud G | |
Pagano, Sabrina | |
Meyer, Benjamin | |
Andrey, Diego O | |
Nehme, Mayssam | |
Guessous, Idris | |
Eberhardt, Christiane S | |
Huttner, Angela | |
Posfay-Barbe, Klara M | |
Yerly, Sabine | |
Siegrist, Claire-Anne | |
Kaiser, Laurent | |
Vuilleumier, Nicolas |
Series
European journal of clinical investigation EJCI
ISSN or ISBN (if monograph)
1365-2362
Publisher
Wiley-Blackwell
Language
English
Publisher DOI
PubMed ID
35598178
Uncontrolled Keywords
Description
BACKGROUND
SARS-CoV-2 infection triggers different auto-antibodies, including anti-apolipoprotein A-1 IgGs (AAA1), which could be of concern as mediators of persistent symptoms. We determined the kinetics of AAA1 response over after COVID-19, and the impact of AAA1 on the inflammatory response and symptoms persistence.
METHODS
All serologies were assessed at one, three, six, and twelve months in 193 hospital employees with COVID-19. ROC curve analyses and logistic regression models (LRM) were used to determine the prognostic accuracy of AAA1 and their association with patient-reported COVID-19 symptoms persistence at 12 months. Interferon (IFN)-α and-γ production by AAA1-stimulated human monocyte-derived macrophages (HMDM) was assessed in vitro.
RESULTS
AAA1 seropositivity was 93% at one month and declined to 15% at 12 months after COVID-19. Persistent symptoms at 12 months were observed in 45.1% of participants, with a predominance of neurological (28.5%), followed by general (15%) and respiratory symptoms (9.3%). Over time, strength of correlations between AAA1 and anti-SARS-COV2 serologies decreased, but remained significant. From the 3rd month on, AAA1 levels predicted persistent respiratory symptoms (area under the curves 0.72-0.74; p<0.001), independently of disease severity, age and gender (adjusted odds ratios 4.81-4.94; p=0.02), while anti-SARS-CoV-2 serologies did not. AAA1 increased IFN-α production by HMDMs (p=0.03), without affecting the IFN-γ response.
CONCLUSION
COVID-19 induces a marked though transient AAA1 response, independently predicting one-year persistence of respiratory symptoms. By increasing IFN-α response, AAA1 may contribute to persistent symptoms. If and how AAA1 levels assessment could be of use for COVID-19 risk stratification remains to be determined.
SARS-CoV-2 infection triggers different auto-antibodies, including anti-apolipoprotein A-1 IgGs (AAA1), which could be of concern as mediators of persistent symptoms. We determined the kinetics of AAA1 response over after COVID-19, and the impact of AAA1 on the inflammatory response and symptoms persistence.
METHODS
All serologies were assessed at one, three, six, and twelve months in 193 hospital employees with COVID-19. ROC curve analyses and logistic regression models (LRM) were used to determine the prognostic accuracy of AAA1 and their association with patient-reported COVID-19 symptoms persistence at 12 months. Interferon (IFN)-α and-γ production by AAA1-stimulated human monocyte-derived macrophages (HMDM) was assessed in vitro.
RESULTS
AAA1 seropositivity was 93% at one month and declined to 15% at 12 months after COVID-19. Persistent symptoms at 12 months were observed in 45.1% of participants, with a predominance of neurological (28.5%), followed by general (15%) and respiratory symptoms (9.3%). Over time, strength of correlations between AAA1 and anti-SARS-COV2 serologies decreased, but remained significant. From the 3rd month on, AAA1 levels predicted persistent respiratory symptoms (area under the curves 0.72-0.74; p<0.001), independently of disease severity, age and gender (adjusted odds ratios 4.81-4.94; p=0.02), while anti-SARS-CoV-2 serologies did not. AAA1 increased IFN-α production by HMDMs (p=0.03), without affecting the IFN-γ response.
CONCLUSION
COVID-19 induces a marked though transient AAA1 response, independently predicting one-year persistence of respiratory symptoms. By increasing IFN-α response, AAA1 may contribute to persistent symptoms. If and how AAA1 levels assessment could be of use for COVID-19 risk stratification remains to be determined.
File(s)
File | File Type | Format | Size | License | Publisher/Copright statement | Content | |
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LHuillier_EurJClinInvest_2022.pdf | text | Adobe PDF | 349.53 KB | Attribution-NonCommercial-NoDerivatives (CC BY-NC-ND 4.0) | published |