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Abstract Number: 1016

Cardiovascular Disease Proteome Profile Is Related to an Abnormal Methylome Pattern in Spondyloarthritis: Potential Biomarkers of Subclinical Atherosclerosis

Ivan Arias-de la Rosa1, Elena Carnero-Montoro2, lourdes Ladehesa-Pineda3, Clementina Lopez-Medina4, Rafaela Ortega-Castro1, Maria del Carmen Abalos-Aguilera5, Daniel Dominguez-Toro6, Manuel Martinez-Bueno2, Ruth Dominguez6, Olivia Castellini6, Guillermo Barturen2, Chary López-Pedrera7, Eduardo Collantes1, Marta Alarcon-Riquelme2 and Nuria Barbarroja1, 1IMIBIC/University of Cordoba/Reina Sofia Hospital, Cordoba, Spain, 2Center for Genomics and Oncological Research (GENYO), Granada, Spain, 3Reina Sofia University Hospital/Rheumatology Department/Maimonides Institute for Biomedical Research (IMIBIC), Cordoba, Spain, 4Reina Sofia University Hospital, Rheumatology Department, Jaén, Spain, 5Hospital Universitario Reina Sofia, Cordoba, Spain, 6GENYO. Centre for Genomics and Oncological Research: Pfizer, University of Granada, Andalusian Regional Government, PTS Granada, Granada, Spain, 7Maimonides Institute for Biomedical Research of Córdoba, Cordoba, Spain

Meeting: ACR Convergence 2022

Keywords: Cardiovascular, spondyloarthritis

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Session Information

Date: Sunday, November 13, 2022

Title: Spondyloarthritis Including PsA – Diagnosis, Manifestations, and Outcomes Poster II

Session Type: Poster Session B

Session Time: 9:00AM-10:30AM

Background/Purpose: Traditional cardiovascular disease (CVD) risk factors could be underestimating the subclinical atherosclerosis in patients with Spondyloarthritis (SpA). The identification of subclinical CVD sings and its molecular drivers, such as epigenetic regulators, acquires relevance. The aim of this work is to identify potential CVD biomarkers based on proteomic and epigenomic data, and its relation with clinical features in SpA.

Methods: A cross-sectional study was performed in 95 patients with SpA compared to 31 healthy donors (HDs). Disease activity and CVD risk factors was determined. Structural damage was evaluated using mSASSS was analyzed. Levels of 92 CVD-related proteins were determined in plasma using Olink technology (Uppsala, Sweden). Blood genome-wide DNA methylation at more than 800,000 CpG sites was measured using the Illumina MethylationEPIC array. Association studies of CVD-related proteins and epigenetic modifications at their protein-coding genes with SpA clinical aspects were performed.

Results: Patients with SpA presented higher prevalence of CVD comorbidities compared to HDs. As much as 20% of SpA patients showed atherosclerotic plaques. SpA patients showed significant elevated circulating levels of 12 CVD-related proteins compared to HDs. Among them, MMP9, UPAR, PGLYRP1, RARRES2, PDGFA and CHI3L1 were significantly associated with acute phase reactants, whereas GDF15 was related to mSASS. GDF15, MMP9 and CTSB were associated with hypertension. GDF15 and CTSB were associated with uveitis and CHI3L1, CTSB, GDF15, TNFR1 and CTSD with hyperuricemia. Interestingly, patients with atherosclerotic plaques showed significant higher levels of CTSB, IL2RA, GDF15 compared to those without plaques. Among them, levels of GDF15 and CTSB could distinguish patients with atherosclerotic plaques with a high accuracy (AUC=0.80 and AUC=0.72, respectively). On the other hand, we identified DNA methylation levels within 81 CpG sites associated with circulating CVD-related proteins. Methylation of GDF-15 and CTSB genes in whole blood significantly correlated to the plasma levels of those proteins. In addition, GDF-15 and CTSB methylation was directly related to the presence of atherosclerotic plaques and exhibited a high predictive value (AUC=0.84). The combining information on GDF-15 and CTSB circulating levels and whole-blood DNA methylation was the best marker to identify patients with atherosclerotic plaques (AUC=0.93)

Conclusion: 1) SpA patients present an altered CVD proteome profile that is associated with CVD comorbidities and clinical aspects of the disease; 2) DNA methylation patterns and levels of GDF15 and CTSB could be use as potential subclinical CVD biomarkers; 3) epigenetic markers boost the predictive ability and can harbor additional information about underlying biological process in the process of atherosclerotic plaque formation.


Disclosures: I. Arias-de la Rosa, None; E. Carnero-Montoro, None; l. Ladehesa-Pineda, None; C. Lopez-Medina, None; R. Ortega-Castro, None; M. Abalos-Aguilera, None; D. Dominguez-Toro, None; M. Martinez-Bueno, None; R. Dominguez, None; O. Castellini, None; G. Barturen, None; C. López-Pedrera, None; E. Collantes, None; M. Alarcon-Riquelme, None; N. Barbarroja, None.

To cite this abstract in AMA style:

Arias-de la Rosa I, Carnero-Montoro E, Ladehesa-Pineda l, Lopez-Medina C, Ortega-Castro R, Abalos-Aguilera M, Dominguez-Toro D, Martinez-Bueno M, Dominguez R, Castellini O, Barturen G, López-Pedrera C, Collantes E, Alarcon-Riquelme M, Barbarroja N. Cardiovascular Disease Proteome Profile Is Related to an Abnormal Methylome Pattern in Spondyloarthritis: Potential Biomarkers of Subclinical Atherosclerosis [abstract]. Arthritis Rheumatol. 2022; 74 (suppl 9). https://acrabstracts.org/abstract/cardiovascular-disease-proteome-profile-is-related-to-an-abnormal-methylome-pattern-in-spondyloarthritis-potential-biomarkers-of-subclinical-atherosclerosis/. Accessed .
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