ACR Meeting Abstracts

ACR Meeting Abstracts

Abstract Number: 1061

Serum Metabolomic Profiling Predicts Synovial Gene Expression in Rheumatoid Arthritis

Rekha Narasimhan1, Roxana Coras1,2, Sara B Rosenthal3, Shannon R Sweeney4, Alessia Lodi5, Stefano Tiziani6, David L. Boyle1, Arthur Kavanaugh7 and Monica Guma1,2, 1Medicine, University of California San Diego, La Jolla, CA, 2Medicine, Autonomous University of Barcelona, Bellatera, Spain, 3Center for Computational Biology and Bioinformatics, University of California San Diego, San Diego, CA, 4Department of Nutritional Sciences. The University of Texas at Austin., Austin, TX, 5Department of Nutritional Sciences & Dell Pediatric Research Institute, Dell Medical School, University of Texas at Austin, Austin, TX, 6Dell Medical School, University of Texas at Austin, Austin, TX, 7University of California, San Diego, School of Medicine, La Jolla, CA

Meeting: 2018 ACR/ARHP Annual Meeting

Keywords: ,

Session Information

Date: Monday, October 22, 2018

Title: Rheumatoid Arthritis – Etiology and Pathogenesis Poster II

Session Type: ACR Poster Session B

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

Background/Purpose: Metabolomics is an emerging field of biomedical research that may offer a better understanding of mechanisms underlying conditions that could include inflammatory arthritides. Perturbations caused by inflamed synovial tissue can lead to correlated changes in concentration of certain metabolites in the synovium and thereby function as potential biomarkers in blood. Here, we explore the hypothesis of whether characterization of patients’ metabolomic profiles in blood, utilizing 1H-nuclear magnetic resonance (NMR), predicts synovial cytokine profiling in rheumatoid arthritis (RA).

Methods: Nineteen active seropositive RA patients on concomitant methotrexate were studied. One of the involved joints was a knee or a wrist appropriate for arthroscopy. A Bruker Avance 700 MHz spectrometer was used to acquire NMR spectra of serum samples. Gene expression in synovial tissue obtained by arthroscopy was analyzed by real-time PCR. Data processing and statistical analysis were performed in Python and SPSS.

Results: Analysis of the relationships between each synovial cytokine-serum metabolite pair, using linear regression and controlling for age and gender, revealed significant clustering structure in these data. We observed an association of serine/glycine/phenylalanine metabolism and aminoacyl-tRNA biosynthesis with lymphoid cell gene signature. Alanine/aspartate/glutamate metabolism and choline derived metabolites correlated with TNF-a synovial expression. Circulating ketone bodies were associated with gene expression of synovial metalloproteinases. Discriminant analysis identified serum metabolites that classified patients according to their synovial cytokine levels.

Conclusion: The relationship between serum metabolite profiles and synovial biomarker profiling suggests that NMR may be a promising tool for predicting specific pathogenic pathways in the inflamed synovium of RA patients.

Disclosure: R. Narasimhan, None; R. Coras, None; S. B. Rosenthal, None; S. R. Sweeney, None; A. Lodi, None; S. Tiziani, None; D. L. Boyle, None; A. Kavanaugh, None; M. Guma, None.

To cite this abstract in AMA style:

Narasimhan R, Coras R, Rosenthal SB, Sweeney SR, Lodi A, Tiziani S, Boyle DL, Kavanaugh A, Guma M. Serum Metabolomic Profiling Predicts Synovial Gene Expression in Rheumatoid Arthritis [abstract]. Arthritis Rheumatol. 2018; 70 (suppl 9). https://acrabstracts.org/abstract/serum-metabolomic-profiling-predicts-synovial-gene-expression-in-rheumatoid-arthritis/. Accessed .

« Back to 2018 ACR/ARHP Annual Meeting

ACR Meeting Abstracts - https://acrabstracts.org/abstract/serum-metabolomic-profiling-predicts-synovial-gene-expression-in-rheumatoid-arthritis/