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  3. Autoantibodies against apolipoprotein A-1 after COVID-19 predict symptoms persistence.
 

Autoantibodies against apolipoprotein A-1 after COVID-19 predict symptoms persistence.

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BORIS DOI
10.48350/170174
Date of Publication
October 2022
Publication Type
Article
Division/Institute

Berner Institut für H...

Author
L'Huillier, Arnaud G
Pagano, Sabrina
Baggio, Stéphanie
Berner Institut für Hausarztmedizin (BIHAM)
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
Subject(s)

600 - Technology::610...

300 - Social sciences...

Series
European journal of clinical investigation EJCI
ISSN or ISBN (if monograph)
1365-2362
Publisher
Wiley-Blackwell
Language
English
Publisher DOI
10.1111/eci.13818
PubMed ID
35598178
Uncontrolled Keywords

COVID-19 anti-apolipo...

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.
Handle
https://boris-portal.unibe.ch/handle/20.500.12422/85211
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LHuillier_EurJClinInvest_2022.pdftextAdobe PDF349.53 KBpublishedOpen
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