Date: Monday, October 22, 2018
Session 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.
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 10). https://acrabstracts.org/abstract/serum-metabolomic-profiling-predicts-synovial-gene-expression-in-rheumatoid-arthritis/. Accessed September 24, 2021.
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ACR Meeting Abstracts - https://acrabstracts.org/abstract/serum-metabolomic-profiling-predicts-synovial-gene-expression-in-rheumatoid-arthritis/