1H NMR Metabolomics Identifies Underlying Inflammatory Pathology in Osteoarthritis and Rheumatoid Arthritis Synovial Joints.
James Ross AndersonSusama ChokesuwattanaskulMarie M PhelanTim J M WeltingLu-Yun LianMandy J PeffersHelen L WrightPublished in: Journal of proteome research (2018)
Despite osteoarthritis (OA) and rheumatoid arthritis (RA) being typically age-related, their underlying etiologies are markedly different. We used 1H nuclear magnetic resonance (NMR) spectroscopy to identify differences in metabolite profiles in low volumes of OA and RA synovial fluid (SF). SF was aspirated from knee joints of 10 OA and 14 RA patients. 100 μL SF was analyzed using a 700 MHz Avance IIIHD Bruker NMR spectrometer with a TCI cryoprobe. Spectra were analyzed by Chenomx, Bruker TopSpin and AMIX software. Statistical analysis was undertaken using Metaboanalyst. 50 metabolites were annotated, including amino acids, saccharides, nucleotides and soluble lipids. Discriminant analysis identified group separation between OA and RA cohorts, with 32 metabolites significantly different between OA and RA SF (false discovery rate (FDR) < 0.05). Metabolites of glycolysis and the tricarboxylic acid cycle were lower in RA compared to OA; these results concur with higher levels of inflammation, synovial proliferation and hypoxia found in RA compared to OA. Elevated taurine in OA may indicate increased subchondral bone sclerosis. We demonstrate that quantifiable differences in metabolite abundance can be measured in low volumes of SF by 1H NMR spectroscopy, which may be clinically useful to aid diagnosis and improve understanding of disease pathogenesis.
Keyphrases
- rheumatoid arthritis
- knee osteoarthritis
- disease activity
- magnetic resonance
- ankylosing spondylitis
- interstitial lung disease
- high resolution
- ms ms
- oxidative stress
- systemic lupus erythematosus
- end stage renal disease
- newly diagnosed
- amino acid
- chronic kidney disease
- dna methylation
- systemic sclerosis
- postmenopausal women
- magnetic resonance imaging
- density functional theory
- patient reported outcomes
- microbial community
- prognostic factors
- fatty acid
- data analysis
- soft tissue
- molecular dynamics
- contrast enhanced