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| Analysis of Detection Value of Serum Anti-bFGF Autoantibodies in Active Autoimmune Aiseases |
| MAO Hongbo, et al |
| Tianyou Hospital of Wuhan University of Science and Technology, Hubei Wuhan 430064, China |
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Abstract Objective: To investigate the expression significance of serum anti-basic fibroblast growth factor (bFGF) autoantibodies in patients with active autoimmune diseases. Methods: The clinical data of 139 patients with active autoimmune diseases were retrospectively analyzed. 46 healthy subjects who were admitted to the hospital for physical examination at the same time were used as control group. The levels of serum anti-bFGF-immunoglobulin (Ig)G antibody and anti-bFGF-IgM antibody were compared among patients with different types of diseases and kidney damage, and the correlation between the above indicators and urinary albumin excretion rate (UAER) and its predictive value on kidney damage were analyzed by Pearson correlation coefficient model and receiver operating characteristic (ROC) curve respectively. Results: The levels of serum anti-bFGF-IgG antibody and anti-bFGF-IgM antibody in patients with active systemic lupus erythematosus (SLE), Sjogren's syndrome (SS), rheumatoid arthritis (RA) and other types of autoimmune diseases were significantly higher than those of healthy subjects, and the levels in RA patients were significantly higher than those in SLE patients (P<0.05). The levels of serum anti-bFGF-IgG antibody, anti-bFGF-IgM antibody and UAER in patients with autoimmune diseases and kidney damage were significantly higher than those of patients with non-kidney damage (P<0.05). Levels of serum anti-bFGF-IgG antibody and anti-bFGF-IgM antibody in patients with active autoimmune diseases showed a significant positive correlation with UAER level (r>0, P<0.05). There was nos ignificant difference in the area under ROC curve (AUC) of serum anti-bFGF-IgG antibody and anti-bFGF-IgM antibody in predicting kidney damage in patients with active autoimmune diseases (P>0.05), and the prediction sensitivities were 83.33% and 91.67%, ans the specificities were 64.08% and 61.17%, and the cut-off values were 208.01×10-3 and 224.79×10-3 respectively. Conclusion: The expressions of anti-bFGF autoantibodies are significantly increased in patients with active autoimmune diseases. Clinical testing can provide a reference for disease assessment and lay a foundation for pathological mechanism research.
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2020, Vol. 26 
