Rheumatoid arthritis (RA) is a chronic systemic autoimmune disease that affects synovial joints, leading to inflammation, joint destruction, loss of function, and disability. Although recent pharmaceutical advances have improved the treatment of RA, patients often inquire about dietary interventions to improve RA symptoms, as they perceive pain and/or swelling after the consumption or avoidance of certain foods. There is evidence that some foods have pro- or anti-inflammatory effects mediated by diet-related metabolites. In addition, recent literature has shown a link between diet-related metabolites and microbiome changes, since the gut microbiome is involved in the metabolism of some dietary ingredients. But diet and the gut microbiome are not the only factors linked to circulating pro- and anti-inflammatory metabolites. Other factors including smoking, associated comorbidities, and therapeutic drugs might also modify the circulating metabolomic profile and play a role in RA pathogenesis. This article summarizes what is known about circulating pro- and anti-inflammatory metabolites in RA. It also emphasizes factors that might be involved in their circulating concentrations and diet-related metabolites with a beneficial effect in RA.

Objective Since previous studies indicate that metabolism is altered in rheumatoid arthritis (RA) fibroblast‐like synoviocytes (FLS), we undertook this study to determine if changes in the genome‐wide chromatin and DNA states in genes associated with nutrient transporters could help to identify activated metabolic pathways in RA FLS. Methods Data from a previous comprehensive epigenomic study in FLS were analyzed to identify differences in genome‐wide states and gene transcription between RA and osteoarthritis. We utilized the single nearest genes to regions of interest for pathway analyses. Homer promoter analysis was used to identify enriched motifs for transcription factors. The role of solute carrier transporters and glutamine metabolism dependence in RA FLS was determined by small interfacing RNA knockdown, functional assays, and incubation with CB‐839, a glutaminase inhibitor. We performed 1H nuclear magnetic resonance to quantify metabolites. Results The unbiased pathway analysis demonstrated that solute carrier–mediated transmembrane transport was one pathway associated with differences in at least 4 genome‐wide states or gene transcription. Thirty‐four transporters of amino acids and other nutrients were associated with a change in at least 4 epigenetic marks. Functional assays revealed that solute carrier family 4 member 4 (SLC4A4) was critical for invasion, and glutamine was sufficient as an alternate source of energy to glucose. Experiments with CB‐839 demonstrated decreased RA FLS invasion and proliferation. Finally, we found enrichment of motifs for c‐Myc in several nutrient transporters. Conclusion Our findings demonstrate that changes in the epigenetic landscape of genes are related to nutrient transporters, and metabolic pathways can be used to identify RA‐specific targets, including critical solute carrier transporters, enzymes, and transcription factors, to develop novel therapeutic agents.

Myostatin is a cytokine produced and released by myocytes that might have an outstanding role not only in muscle wasting during cachexia but also in inflammation. Herein we explore the association between myostatin levels and inflammatory parameters in rheumatoid arthritis (RA). One hundred twenty-seven women without rheumatic diseases and 84 women with a diagnosis of RA were assessed in a cross-sectional study. Outcomes reflecting the activity of the arthritis including Disease Activity Score (DAS28-ESR) and impairment in functioning by the Health Assessment Questionnaire-Disability Index were assessed in RA. We obtained Skeletal muscle mass index (SMI), fat-free mass index (FFMI), and fat mass index using dual-energy x-ray absorptiometry. Serum myostatin was determined by enzyme-linked immunosorbent assay. Myostatin levels were correlated with disease activity and parameters of muscle mass. The SMI was lower and concentration of myostatin was higher in RA patients than in controls (P = .008 and P < .001, respectively). Myostatin significantly positively correlated with C-reactive protein (rho = 0.48, P < .001), erythrocyte sedimentation rate (rho  = 0.28, P = .009), and DAS28-ESR (rho = 0.22, P  = .04), and negatively correlated with SMI (rho = −0.29, P = .008), (FFMI) (rho = −0.24, P = .027). In the multivariate logistic regression analysis, levels of myostatin remained associated with disease activity in RA (P = .027). In our study, myostatin was associated with disease activity in RA patients, suggesting a mechanistic link between myostatin, muscle wasting and inflammation in RA.

How macrophages are programmed to respond to monosodium urate crystals (MSUc) is incompletely understood partly due to the use of a toll-like receptor-induced priming step. Here, using genome wide transcriptomic analysis and biochemical assays we demonstrate that MSUc alone induces an in vitro metabolic and inflammatory transcriptional program in both human and murine macrophages markedly distinct from that induced by LPS. Genes uniquely up-regulated in response to MSUc belonged to lipids, glycolysis, and transport of small molecules via SLC transporters pathways. Sera from individuals and mice with acute gouty arthritis provided further evidence for this metabolic rewiring. This distinct macrophage activation may explain the initiating mechanisms in acute gout flares and is regulated through JUN binding to the promoter of target genes through activation of JNK (but not by P38) in a process that is independent of inflammasome activation. Finally, pharmacological JNK inhibition limited MSUc-induced inflammation in animal models of acute gouty inflammation.

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Background. Fracture risk assessment tool (FRAX) index was developed for estimating of the 10-year risk of major or hip osteoporotic fracture. To date, there is insufficient information regarding the correlation between FRAX and serum bone turnover markers (BTMs), such as soluble ligand of receptor activator of nuclear factor-κB (sRANKL), osteoprotegerin (OPG), and other molecules related with secondary osteoporosis in rheumatoid arthritis (RA). Therefore, this study is aimed at assessing the correlation between the FRAX and serum levels of sRANKL, OPG, sRANKL/OPG ratio, Dickkopf-1 (DKK-1), and sclerostin (SOST) in RA. Methods. Cross-sectional study included 156 postmenopausal women with RA. Bone mineral density (BMD) was measured at lumbar spine (L1-L4) and total hip using dual-energy X-ray absorptiometry (DXA). RA patients were divided into (A) RA + osteoporosis and (B) RA without osteoporosis. FRAX scores were calculated including the total hip BMD. Serum sRANKL, OPG, DKK-1, and SOST levels were measured by ELISA. Pearson tests were used for assessing the correlation between serum levels of these molecules and FRAX scores in RA. Results. The RA + osteoporosis group had elevated sRANKL levels ( p = 0.005 ), higher sRANKL/OPG ratio ( p = 0.017 ), decreased DKK-1 ( p = 0.028 ), and lower SOST levels ( p < 0.001 ). Low total hip BMD correlated with high sRANKL ( p = 0.001 ) and sRANKL/OPG ratio ( p = 0.005 ). Total hip and lumbar spine BMD correlated with DKK-1 ( p = 0.009 and p = 0.05 , respectively) and SOST levels ( p < 0.001 and p < 0.001 , respectively). Higher sRANKL levels and sRANKL/OPG ratio correlated with estimated 10-year risk of a major osteoporotic fractures ( p = 0.003 and p = 0.003 , respectively) and hip fracture ( p = 0.002 and p = 0.006 , respectively). High serum SOST levels were associated with a low estimated 10-year risk of a major osteoporotic fracture ( p = 0.003 ) and hip fracture ( p = 0.009 ). Conclusion. High sRANKL levels and sRANKL/OPG ratio can be useful to detect a subgroup of RA patients who has an increased 10-year risk of major and hip osteoporotic fractures.

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The analysis of synovial tissue offers the potential for the comprehensive characterization of cell types involved in arthritis pathogenesis. The studies performed to date in synovial tissue have made it possible to define synovial pathotypes, which relate to disease severity and response to treatment. Lipidomics is the branch of metabolomics that allows the quantification and identification of lipids in different biological samples. Studies in animal models of arthritis and in serum/plasma from patients with arthritis suggest the involvement of different types of lipids (glycerophospholipids, glycerolipids, sphingolipids, oxylipins, fatty acids) in the pathogenesis of arthritis. We reviewed studies that quantified lipids in different types of tissues and their relationship with inflammation. We propose that combining lipidomics with currently used “omics” techniques can improve the information obtained from the analysis of synovial tissue, for a better understanding of pathogenesis and the development of new therapeutic strategies.