Investigations of The Effects of Glucocorticoid Receptor SNPs and SUMO-2 Autoantibody in Patients with Systemic Lupus Erythematosus
Autor: | Bi-yao Lee, 李碧瑤 |
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Rok vydání: | 2008 |
Druh dokumentu: | 學位論文 ; thesis |
Popis: | 96 For more than fifty years glucocorticoids (GCs) has been used to treat a wide range of inflammatory diseases, such as allergies, asthma, rheumatoid arthritis, and autoimmune diseases, due to its potentiality on the antiinflammatory and immunomodulatory effects. The anti-inflammation actions of glucocorticoid were mediated by an intracellular receptor, glucocorticoid receptor (GR), a member of the nuclear receptor family of ligand-dependent transcription factor. Upon activation by their ligand, GRs translocated to the nuclear and then bound to glucocorticoid responsive element (GRE) or negative glucocorticoid responsive elemen (nGRE). The administration of GCs depended on the acuity of disease and on the responses of patient clinically. Although some Systemic Lupus Erythematosus (SLE) patients given the maximal steroid doses, the response to the therapy remained poorly, and thus called “glucocorticoid resistance”. Despite the fact that the side effects and complications in SLE patients may result from the restrictions of physic; it has been documented that there were some relationships between the glucocorticoid resistance with the polymorphisms of GR, and the levels of glucocorticoid receptor beta. However, no significant differences in the GR polymorphisns (TthIII, ER22/23EK, N363S, BclI and I559N) between controls and SLE patients were found and there were no significant differences found on the levels of SUMO-2 antibody between patients with active and inactive SLE in this study. Neverthless, a significant association on the the allelic polymorphism of BclI was observed in patients with glucocorticoid resistance. Additionally, the expression of GRβ in patients with SLE was higher than that of controls and the TthIII CT genotype was associated with GRα expression. |
Databáze: | Networked Digital Library of Theses & Dissertations |
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