dc.description.abstract | Rheumatoid arthritis (RA) is a complex, chronic, and systemic autoimmune disease. It affects joints, and bones, promoting joints destruction as well as bone deformities. Although researches of RA has been ongoing for many years, still relatively less understanding of its pathogenesis were known and it is difficult to diagnosis. Established animal models can assists in the research progress. It helps to understand the disease pathogenesis or treatment. In this thesis, our aim is to establish platform to analyze proteome, bacterial community in RA, finding the relationship with disease and do for future experiment of human. Therefore, we chose animal models of RA for analysis of saliva, serum proteome and oral mucosa, cecum mucosa, cecum content and stool for bacterial community. First, the differentially expressed protein profiles in the saliva between healthy and RA disease mice were analyzed by matrix assisted laser desorption/ionization time- of –flight mass spectrometry (MALDI- TOF MS). According to the results, we found the peak of m/z 1418 was only appearing in healthy control, but not in disease sample, and the peak of m/z at 2702 was only appearing in disease samples not in healthy sample, relatively. Peak of m/z near 6370, 6995, 11285, 12728, 13979 and 22655 were show in both healthy and disease samples. However, the intensities were low in disease samples. Second, we found between healthy and disease serum that there was no significant difference by SDS-PAGE gel in mice serum protein. Finally, Parabacteroides merdae was among 70% in RA 1-week, on the other hand, Akkermansia muciniphila was among 70% in RA 4-week mice cecum mucosa and content samples. The conclusion is that saliva protein profiling by MALDI-TOF MS is a quickly method. And even though there was no significant difference in serum protein, albumin still had low intensity in disease sample when the inflammation was continued and it confirm in RA patients. For A. muciniphila it was related to weight loss and can increase intestinal mucosa thickness to prevent inflammation. In our result we surmise in RA 4-week, which is of high arthritis score and the A. muciniphila was affecting mice weight. P. merdae decreased in inflammation intestinal environment and in our result the RA 4-week that P. merdae was low than RA-1 week. We hope that in the future we will continue to use animal model of rheumatoid arthritis and understand the relationship between proteome, microbiome and disease. And can help for the clinical treatment and diagnosis in humans in the future, in order to complete the analysis platform. | en_US |