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Home » Meeting Abstracts » ACR/ARP Annual Meeting 2019

Abstract Number: 48

Phenotype-based Clustering Along with Analysis of Molecular Profile Might Help to Define Precise CV-risk Profiles in RA Patients

Chary Lopez-Pedrera1, Nuria Barbarroja 2, Maria Luque-Tevar 1, Patricia Ruiz-Limon 3, Laura Pérez-Sanchez 4, Sara Remuzgo-Martínez 5, Alejandro Ibañez-Costa 1, Alejandra Patiño-Trives 1, Ivan Arias de la Rosa 6, Maria del Carmen Abalos-Aguilera 1, Andres Delgado-Campos 7, Rafaela Ortega 1, Raquel López-Mejías 5, M Angeles Aguirre 8, Alejandro Escudero 7, Eduardo Collantes-Estevez 6, Miguel A. González-Gay 9 and Carlos Perez-Sanchez 10, 1IMIBIC/Reina Sofia Hospital/University of Cordoba, Cordoba, Spain, 2University of Cordoba/IMIBIC/Reina Sofia Hospital and CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Cordoba, Spain, 3Research Group of Endocrine Diseases, Research Laboratory. Biomedical Research Institute of Malaga (IBIMA).Virgen de la Victoria Universitary Hospital, Malaga, Spain, Málaga, Spain, 4MIBIC/Reina Sofia Hospital/University of Cordoba, Córdoba, Spain, 5Epidemiology, Genetics and Atherosclerosis Research Group on Systemic Inflammatory Diseases, IDIVAL, Santander, Spain, Santander, Spain, 6University of Cordoba/IMIBIC/Reina Sofia Hospital, Cordoba, Spain, 7IMIBIC/Reina Sofia Hospital/University of Cordoba, Córdoba, Spain, 8IMIBIC/Reina Sofia Hospital/University of Cordoba,, Córdoba, Spain, 9Hospital Universitario Marqués de Valdecilla. IDIVAL. Universidad de Cantabria., Cantabria, Spain, 10Rheumatology service, IMIBIC/Reina Sofia Hospital/University of Cordoba, Cordoba, Spain, Cordoba, Spain

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Meeting: ACR/ARP Annual Meeting 2019

Keywords: CV-Risk Score, infliximab, rheumatoid arthritis, tocilizumab and rituximab

Session Information

Date: Sunday, November 10, 2019

Title: RA – Etiology & Pathogenesis Poster I

Session Type: Poster Session (Sunday)

Session Time: 9:00AM-11:00AM

Background/Purpose: 1. To identify and characterize specific immunological, inflammatory and epigenetic determinants involved in the enhanced cardiovascular (CV)-risk present in Rheumatoid Arthritis (RA) patients. 2. To evaluate the effects of biological drugs on the reestablishment of this altered profile.

Methods: Serum samples from 52 healthy donors (HD) and 188 selected RA patients -including 100 patients that had suffered previous CV events and 88 without previous CV events- were studied. Inflammatory and oxidative stress biomolecules and Netosis-derived products were quantified, and the CV-Risk Score was calculated following EULAR recommendations. Carotid intima-media thickness (CIMT) was evaluated as early atherosclerosis marker. miRNnomes were identified using next-generation sequencing miRNA assay. The in vivo effects of biologic drugs such as Infliximab (IFX), Tocilizumab (TCZ) and Rituximab (RTX) were evaluated before and after 6 months of therapy in parallel cohorts of 45, 25 and 27 patients, respectively.

Results: Circulating biomolecules related to inflammation -interleukins, chemokines, adhesion molecules-, Netosis -cell-free nucleosomes and elastase- and oxidative stress -lipoperoxides and 8-hydroxy-2′-deoxyguanosine (8-OHdG)- were found coordinately altered in the serum of RA patients. 104 circulating miRNAs were found altered in RA patients. Functional classification (Ingenuity Pathway analysis, IPA) recognized their potential involvement in inflammatory response, immunological and hematological diseases, and correlation analyses established the relationship of a number of them with the biomolecules found altered in RA patients. Non-supervised hard clustering analysis differentiated 3 clusters representing different CV-risk profile groups: a) RA patients with elevated CV-risk score ( >9), positive for autoantibodies (RF and ACPAs) and with a high incidence (53 %) of CV events; b) RA patients with medium-low CV-risk score (< 4) but positive for autoantibodies and also with a high incidence (47%) of CV events, thus suggesting a relevant role for autoimmunity in this increased CV-risk; and c) RA patients negative for autoantibodies with medium-low CV-risk score and without previous CV events. Those three phenotypes of RA patients further displayed distinctive and specific molecular shapes. In vivo treatments with IFX, TCZ and RTX reduced disease activity and induced the re-establishment of normal levels in these altered biomolecules in an inhibitor-dependent manner.

Conclusion:

  1. Phenotype-based clustering combined with the analysis of molecular profiles might help to define precise CV-risk profiles in RA patients. 2. Specific mediators of autoimmunity, inflammation, oxidative damage and Netosis, along with the miRNAs modulating their expression, coordinately contribute to a higher CV-risk score in RA patients. 3. Biological drugs, most likely though distinctive molecular mechanisms, restore the normal levels of these altered biomolecules, reducing the CV risk in RA patients. Funded by PI-0285-2017, ISCIII, PI18/00837 and RIER RD16/0012/0015 co-funded with FEDER

Disclosure: C. Lopez-Pedrera, None; N. Barbarroja, None; M. Luque-Tevar, None; P. Ruiz-Limon, None; L. Pérez-Sanchez, None; S. Remuzgo-Martínez, None; A. Ibañez-Costa, None; A. Patiño-Trives, None; I. Arias de la Rosa, None; M. Abalos-Aguilera, None; A. Delgado-Campos, None; R. Ortega, None; R. López-Mejías, None; M. Aguirre, None; A. Escudero, None; E. Collantes-Estevez, None; M. González-Gay, None; C. Perez-Sanchez, None.

To cite this abstract in AMA style:

Lopez-Pedrera C, Barbarroja N, Luque-Tevar M, Ruiz-Limon P, Pérez-Sanchez L, Remuzgo-Martínez S, Ibañez-Costa A, Patiño-Trives A, Arias de la Rosa I, Abalos-Aguilera M, Delgado-Campos A, Ortega R, López-Mejías R, Aguirre M, Escudero A, Collantes-Estevez E, González-Gay M, Perez-Sanchez C. Phenotype-based Clustering Along with Analysis of Molecular Profile Might Help to Define Precise CV-risk Profiles in RA Patients [abstract]. Arthritis Rheumatol. 2019; 71 (suppl 10). https://acrabstracts.org/abstract/phenotype-based-clustering-along-with-analysis-of-molecular-profile-might-help-to-define-precise-cv-risk-profiles-in-ra-patients/. Accessed .

ACR Meeting Abstracts - https://acrabstracts.org/abstract/phenotype-based-clustering-along-with-analysis-of-molecular-profile-might-help-to-define-precise-cv-risk-profiles-in-ra-patients/

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