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Angiopoietin-2, vascular endothelial growth factor family, and heparin binding endothelial growth factor are associated with subclinical atherosclerosis in rheumatoid arthritis

Authors :
Anna Pàmies
Dídac Llop
Daiana Ibarretxe
Roser Rosales
Luis Masana
Joan-Carles Vallvé
Silvia Paredes
Source :
Computational and Structural Biotechnology Journal, Vol 23, Iss , Pp 1680-1688 (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

Introduction: Patients with RA are at a higher risk of developing CV diseases than the general population. The precise mechanisms are still unknown. We evaluated the associations between 8 plasma growth factors (GFs) (angiopoietin-2, EGF, HB-EGF, PLGF, TGF-α, VEGFa, VEGFc, and VEGFd) and subclinical arteriosclerosis in RA patients. Materials and methods: A total of 199 patients with RA treated at the Hospital Universitari Sant Joan de Reus (Spain) between 2011 and 2015 were included in this cross-sectional study. Carotid intima media thickness (cIMT), carotid plaque presence (cPP) and pulse wave velocity (PWV) were measured. GFs were measured with Bio-Plex Pro Human Cancer Biomarker Panel 2 (Bio-Rad). Multivariate models and partial least square discriminant analysis (PLS-DA) were used for analysis (RStudio, version 4.0.1). Results: Multivariate models showed that angiopoietin-2 was associated with cPP and PWV in the overall cohort (OR = 1.53 and β = 0.20, respectively). VEGFc (β = 0.29), VEGFa (β = 0.26) and HB-EGF (β = 0.22) were also associated with PWV. VEGFa (OR = 2.36), VEGFd (OR = 2.29), EGF (OR = 2.62), PLGF (OR = 2.54), and HB-EGF (OR = 2.24) were associated with cPP in men. According to PLS-DA, GFs were able to distinguish between patients with and without cPP in the overall cohort, male cohort, and female cohort. In women, angiopoietin-2 was associated with PWV (β = 0.18). Conclusions: The selected GFs were closely related to atherosclerosis in patients with RA and are potential predictors of CV disease in patients with RA.

Details

Language :
English
ISSN :
20010370
Volume :
23
Issue :
1680-1688
Database :
Directory of Open Access Journals
Journal :
Computational and Structural Biotechnology Journal
Publication Type :
Academic Journal
Accession number :
edsdoj.6b91429ebe334b9c9f0ff807a62b85b1
Document Type :
article
Full Text :
https://doi.org/10.1016/j.csbj.2024.04.042