OBJECTIVE: To investigate the serum level of lumican (LUM) and its clinical correlation with disease and immune activities in patients with rheumatoid arthritis (RA). METHODS: The serum LUM levels in both RA patients and health controls (HCs) were detected by enzyme-linked immunosorbent assay (ELISA). The clinical and laboratory data of the patients were collected. The LUM levels in the patients with different clinical features were analyzed. The correlation between the clinical data, laboratory parameters, and serum LUM levels were also analyzed. Independent samples t test, Spearman correlation were used for statistical analysis. Analysis of variance and Kruskal-Wallis test, the least significant difference (LSD)-t test and Bonferroni correction were used for statistical analysis. The Pearson Chi-square test was used for comparison of the rates between the groups. Statistical significance was set at P < 0.05. RESULTS: The levels of LUM were elevated in the RA patients than in the HCs (P < 0.000 1). Serum LUM levels were correlated with the erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), rheumatoid factor (RF), immunoglobulin A (IgA), titers of platelet (PLT) and 28-joint disease activity score (DAS28, all P < 0.05). Next, we compared the serum LUM levels in the RA patients with different characteristics, and no difference was found in serum LUM levels between early-RA and RA, the same to RA with different gender (P>0.05). The levels of serum LUM were elevated in the RF positive patients (P < 0.000 1), and in the RF and anti-CCP positive patients (P < 0.05) than in the RA patients with negative RF whether the anti-CCP was positive. In addition, no differences were found between the RA patients with negative RF whether the anti-CCP was positive (P>0.05). All the levels of serum LUM were elevated in the RA patients with different CRP or ESR than in the HCs (P < 0.05), and the serum LUM levels in the RA patients with elevated ESR and CRP were significantly elevated in those with normal ESR and CRP (P < 0.05). Additionally, the results demonstrated that serum LUM levels were positively associated with RA disease activity, and they were declined in RA sustained remission than those in middle or high disease activity (P < 0.05). Furthermore, no difference was found between the RA patients in remission and HCs (P>0.05). No differences were found in the RA patients with and without complications including interstitial pneumonia disease, Sjögren's syndrome, thyroid gland diseases and osteoporosis (P>0.05). The LUM positivity rates were significantly elevated in the RF positive patients than the RF negative patients in RA (P < 0.05). CONCLUSION LUM, a cyclocitrullinated protein, might be a promising biomarker which could reflect both disease activity and immune activity in RA.
Humans ; Arthritis, Rheumatoid/immunology* ; Lumican/blood* ; C-Reactive Protein/metabolism* ; Female ; Male ; Rheumatoid Factor/blood* ; Middle Aged ; Adult ; Chondroitin Sulfate Proteoglycans/blood* ; Blood Sedimentation ; Keratan Sulfate/blood* ; Enzyme-Linked Immunosorbent Assay ; Aged

Objective:To analyze the antibody levels and dynamic changes in patients infected with 2019-novel coronavirus(2019-nCoV).Methods:The average age of 72 corona virus disease 2019 (COVID-19) patients was (45.53±16.74)years(median age:47 year), including (44.88±17.09) years(median age:46 year) for 38 males and (46.32±16.52)years (median age:46 year) for 34 females in Loudi City, Hunan Province. There is no significant difference in genders between the severe and mild groups (χ2=0.916, P>0.05). There is a significant difference in the age between the severe and mild groups ( F=3.315, P<0.05). The blood samples of 72 discharged patients were collected and the consistence of IgM and IgG antibodies were detected by chemiluminescence method. SPSS25.0 was used for gender, age, case type and antibody analysis of variance, χ 2 test and other analysis. Results:The average time of the serum samples collection of 72 patients was (34.89±9.02)days (median time: 34 days) from onset of COVID-19, and (14.53±8.35) days (median time: 14 days) from discharge. The positive rate of IgM or IgG was 97.22% (70/72), and the positive rate of IgM and IgG was 48.61% (35/72) and 97.22% (70/72) respectively. Serum COVID-19 antibodies were detected in 72 patients from 1st to 40th days after discharge. The average concentration of IgM in 1-7 days, 8-14 days, 15-21 days, 22-28 days, above 29 days were 21.91(7.07-52.84)AU/ml, 14.16(6.19-32.88)AU/ml, 11.36(6.65-42.15)AU/ml, 8.15(3.66-30.12)AU/ml, 2.98(0.46-6.37)AU/ml. There was no significant difference in the time of IgM antibody concentration ( H= 8.439, P>0.05). The average concentrations of IgG in 1-7 days, 8-14 days, 15-21 days, 22-28 days, 29 days and above were 169.90 (92.06-190.91) AU/ml, 163.89 (91.19-208.02) AU/ml, 173.31 (95.06-191.28) AU/ml, 122.84 (103.19-188.34) AU/ml, 101.98 (43.75-175.30) AU/ml, respectively, ( H=2.232, P>0.05). The IgM becomes negative after the 3rd week of discharge and decreases rapidly with time. The IgG concentration higher than IgM during the same period, and keep at high level without any change, and decrease in the fourth week. Among them, 5 cases developed "re-infection" within 1-3 weeks after discharge, and the rate of "re-infection" was 6.94% (5/72 cases). Conclusions:After the COVID-19 patients are discharged from the hospital, the level of antibodies produced varies greatly among individuals, but the overall changes in antibodies have a certain pattern. It is recommended to strengthen the antibody monitoring during hospitalization and after discharge from the hospital to reduce the "re-infection" rate and potential risk of infection.

Objective:To analyze the antibody levels and dynamic changes in patients infected with 2019-novel coronavirus(2019-nCoV).Methods:The average age of 72 corona virus disease 2019 (COVID-19) patients was (45.53±16.74)years(median age:47 year), including (44.88±17.09) years(median age:46 year) for 38 males and (46.32±16.52)years (median age:46 year) for 34 females in Loudi City, Hunan Province. There is no significant difference in genders between the severe and mild groups (χ2=0.916, P>0.05). There is a significant difference in the age between the severe and mild groups ( F=3.315, P<0.05). The blood samples of 72 discharged patients were collected and the consistence of IgM and IgG antibodies were detected by chemiluminescence method. SPSS25.0 was used for gender, age, case type and antibody analysis of variance, χ 2 test and other analysis. Results:The average time of the serum samples collection of 72 patients was (34.89±9.02)days (median time: 34 days) from onset of COVID-19, and (14.53±8.35) days (median time: 14 days) from discharge. The positive rate of IgM or IgG was 97.22% (70/72), and the positive rate of IgM and IgG was 48.61% (35/72) and 97.22% (70/72) respectively. Serum COVID-19 antibodies were detected in 72 patients from 1st to 40th days after discharge. The average concentration of IgM in 1-7 days, 8-14 days, 15-21 days, 22-28 days, above 29 days were 21.91(7.07-52.84)AU/ml, 14.16(6.19-32.88)AU/ml, 11.36(6.65-42.15)AU/ml, 8.15(3.66-30.12)AU/ml, 2.98(0.46-6.37)AU/ml. There was no significant difference in the time of IgM antibody concentration ( H= 8.439, P>0.05). The average concentrations of IgG in 1-7 days, 8-14 days, 15-21 days, 22-28 days, 29 days and above were 169.90 (92.06-190.91) AU/ml, 163.89 (91.19-208.02) AU/ml, 173.31 (95.06-191.28) AU/ml, 122.84 (103.19-188.34) AU/ml, 101.98 (43.75-175.30) AU/ml, respectively, ( H=2.232, P>0.05). The IgM becomes negative after the 3rd week of discharge and decreases rapidly with time. The IgG concentration higher than IgM during the same period, and keep at high level without any change, and decrease in the fourth week. Among them, 5 cases developed "re-infection" within 1-3 weeks after discharge, and the rate of "re-infection" was 6.94% (5/72 cases). Conclusions:After the COVID-19 patients are discharged from the hospital, the level of antibodies produced varies greatly among individuals, but the overall changes in antibodies have a certain pattern. It is recommended to strengthen the antibody monitoring during hospitalization and after discharge from the hospital to reduce the "re-infection" rate and potential risk of infection.

Based on the author's experience in the training of teachers for team-based learning (TBL) in Kaohsiung Medical University, this study reviewed the specific methods of fairy tales in the training of TBL teachers. The selection of fairy tale cases should consider the background of the trainees and try to meet the needs of interdisciplinary integrated courses. Case editing and questions should reflect the importance and necessity of TBL pre-reading. In addition, this study explored the psychological mechanism, training advantages, training difficulties, and popularity of TBL teacher training based on fairy tales.