CWELL Magazine: community wellness empowerment leadership and lifeskills

Cwell Magazine: community wellness empowerment leadership and lifeskills, 2021, March/April, No 2</p

CWELL Magazine: community wellness empowerment leadership and lifeskills

CWELL Magazine: community wellness empowerment leadership and lifeskills, 2021, January/February, No 1</p

CWELL Magazine: community wellness empowerment leadership and lifeskills

CWELL Magazine: community wellness empowerment leadership and lifeskills, 2021, May/June, No 3</p

Additional file 1: of Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis

Table S1. Baseline clinical characteristics of patients with rheumatoid arthritis. Table S2. Mean and standard deviation (SD) of synovial biomarker expression. Table S3. Mean and standard deviation (SD) of serum metabolites detected by 1H-NMR (ÎźM). Reference values are from the Human Metabolome Database (HMDB) and were collected via NMR, unless otherwise noted. 1GC/MS; 2HPLC; 3HPLC-fluoroescence; 4ion-exchange chromatography; 5DFI/MS/MS 6unknown. ND, no data available. Metabolites that were upregulated by at least 20% compared to reference values are in green. Metabolites that were downregulated by more than 20% compared to reference values are in red. (DOCX 26 kb

Additional file 6: of Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis

Figure S5. Correlation between serum metabolites and synovial MMP1, MMP3, and IL-6. (TIFF 14826 kb

Additional file 8: of Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis

Figure S7. Correlation between serum cytokines and synovial cytokines and serum metabolites. (TIFF 14826 kb

Additional file 4: of Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis

Figure S3. Correlation between serum metabolites and synovial CD19, CD79A, and IgGHC. (TIFF 14826 kb

Additional file 3: of Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis

Figure S2. Pathway analysis of polar compounds by MetaboAnalyst. (TIFF 14826 kb

Additional file 2: of Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis

Figure S1. Correlation between synovial markers and serum metabolites. (TIFF 14826 kb

Additional file 5: of Serum metabolomic profiling predicts synovial gene expression in rheumatoid arthritis

Figure S4. Correlation between serum metabolites and synovial APRIL, CD138, SDF1, IgKappa, and IgMHC. (TIFF 14826 kb