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Impaired metabolism predicts coronary artery calcification in women with systemic lupus erythematosusResearch in context

Authors :
Fanny Urbain
Maharajah Ponnaiah
Farid Ichou
Marie Lhomme
Clément Materne
Sophie Galier
Julien Haroche
Eric Frisdal
Alexis Mathian
Herve Durand
Micheline Pha
Miguel Hie
Anatol Kontush
Philippe Cluzel
Philippe Lesnik
Zahir Amoura
Maryse Guerin
Fleur Cohen Aubart
Wilfried Le Goff
Source :
EBioMedicine, Vol 96, Iss , Pp 104802- (2023)
Publication Year :
2023
Publisher :
Elsevier, 2023.

Abstract

Summary: Background: Patients with systemic lupus erythematosus (SLE) exhibit a high risk for cardiovascular diseases (CVD) which is not fully explained by the classical Framingham risk factors. SLE is characterized by major metabolic alterations which can contribute to the elevated prevalence of CVD. Methods: A comprehensive analysis of the circulating metabolome and lipidome was conducted in a large cohort of 211 women with SLE who underwent a multi-detector computed tomography scan for quantification of coronary artery calcium (CAC), a robust predictor of coronary heart disease (CHD). Findings: Beyond traditional risk factors, including age and hypertension, disease activity and duration were independent risk factors for developing CAC in women with SLE. The presence of coronary calcium was associated with major alterations of circulating lipidome dominated by an elevated abundance of ceramides with very long chain fatty acids. Alterations in multiple metabolic pathways, including purine, arginine and proline metabolism, and microbiota-derived metabolites, were also associated with CAC in women with SLE. Logistic regression with bootstrapping of lipidomic and metabolomic variables were used to develop prognostic scores. Strikingly, combining metabolic and lipidomic variables with clinical and biological parameters markedly improved the prediction (area under the curve: 0.887, p

Details

Language :
English
ISSN :
23523964
Volume :
96
Issue :
104802-
Database :
Directory of Open Access Journals
Journal :
EBioMedicine
Publication Type :
Academic Journal
Accession number :
edsdoj.67b692d094b74532be90a95d53d9c822
Document Type :
article
Full Text :
https://doi.org/10.1016/j.ebiom.2023.104802