Publication Type:

Journal Article


Clin Proteomics, Volume 13, p.12 (2016)



<p><b>BACKGROUND: </b>Rheumatoid arthritis (RA) is a chronic autoinflammatory disorder that affects small joints. Despite intense efforts, there are currently no definitive markers for early diagnosis of RA and for monitoring the progression of this disease, though some of the markers like anti CCP antibodies and anti vimentin antibodies are promising. We sought to catalogue the proteins present in the synovial fluid of patients with RA. It was done with the aim of identifying newer biomarkers, if any, that might prove promising in future.</p><p><b>METHODS: </b>To enrich the low abundance proteins, we undertook two approaches-multiple affinity removal system (MARS14) to deplete some of the most abundant proteins and lectin affinity chromatography for enrichment of glycoproteins. The peptides were analyzed by LC-MS/MS on a high resolution Fourier transform mass spectrometer.</p><p><b>RESULTS: </b>This effort was the first total profiling of the synovial fluid proteome in RA that led to identification of 956 proteins. From the list, we identified a number of functionally significant proteins including vascular cell adhesion molecule-1, S100 proteins, AXL receptor protein tyrosine kinase, macrophage colony stimulating factor (M-CSF), programmed cell death ligand 2 (PDCD1LG2), TNF receptor 2, (TNFRSF1B) and many novel proteins including hyaluronan-binding protein 2, semaphorin 4A (SEMA4D) and osteoclast stimulating factor 1. Overall, our findings illustrate the complex and dynamic nature of RA in which multiple pathways seems to be participating actively.</p><p><b>CONCLUSIONS: </b>The use of high resolution mass spectrometry thus, enabled identification of proteins which might be critical to the progression of RA.</p>

Cite this Research Publication

M. Bhattacharjee, Balakrishnan, L., Renuse, S., Advani, J., Goel, R., Sathe, G., Prasad, T. S. Keshava, Nair, B., Jois, R., Shankar, S., and Pandey, A., “Synovial fluid proteome in rheumatoid arthritis.”, Clin Proteomics, vol. 13, p. 12, 2016.