摘要
Objective:To investigate the possible role of Th17/Treg cells in gout arthritis(GA). Methods: The PBMCs of 32 acute gout patients(AG), 34 interval gout patients(IG) and 26 healthy controls(HC) were collected. The clinical data and laboratory of them were enrolled. The percentages of Th17 and Treg cells were detected by flow cytometry. The expression of Foxp3 and ROR-γt mRNA in PBMCs were measured using RT-qPCR. SPSS21.0 was used for analysis. The measurement data were compared by one factor analysis of variance test. The correlation between variables was used by Spearman correlation analysis. Results: The percentage of Th17 cells in PBMCs of AG group was(2.85%±0.92%) was significantly increased(P<0.05), compared with that in IG group(1.34%±0.67%) and HC group(1.25%±0.52%). However, there was no significant difference between IG and HC group(P>0.05). The proportion of Treg cells in the PBMCs of AG and IG group were(3.39±1.37)%, which was significantly lower(P<0.05) than HC group(5.58±1.83). There was no significant difference between IG and AG group(P>0.05). The proportion of TH17/Treg cells in AG group was higher than IG and HC group. Compared with HC group, the expression of ROR-γt mRNA in AG and IG group were higher(P<0.05), but there was no significant difference between IG and AG group(P>0.05). The expression of Foxp3 mRNA were significantly lower(P<0.05) in AG and IG group compared to HC group. There was no significant difference between AG and IG group(P>0.05). The correlation analysis found the correlation of ROR-γt and Foxp3 mRNA expression levels in AG was positive correlation(r = 1.000, P<0.01), but negative correlation in IG(r=-0.999, P= 0.00). Th17 cells percentage was foundcorrelate significantly with AST in GA patients(r=-0.361, P<0.01). Conclusions: Disturbed Th17/Treg balance in GA patients may have an important role in the pathogenesis of GA.
Objective:To investigate the possible role of Th17/Treg cells in gout arthritis(GA). Methods: The PBMCs of 32 acute gout patients(AG), 34 interval gout patients(IG) and 26 healthy controls(HC) were collected. The clinical data and laboratory of them were enrolled. The percentages of Th17 and Treg cells were detected by flow cytometry. The expression of Foxp3 and ROR-γt mRNA in PBMCs were measured using RT-q PCR. SPSS21.0 was used for analysis. The measurement data were compared by one factor analysis of variance test. The correlation between variables was used by Spearman correlation analysis. Results: The percentage of Th17 cells in PBMCs of AG group was(2.85%±0.92%) was significantly increased(P<0.05), compared with that in IG group(1.34%±0.67%) and HC group(1.25%±0.52%). However, there was no significant difference between IG and HC group(P>0.05). The proportion of Treg cells in the PBMCs of AG and IG group were(3.39±1.37)%, which was significantly lower(P<0.05) than HC group(5.58±1.83). There was no significant difference between IG and AG group(P>0.05). The proportion of TH17/Treg cells in AG group was higher than IG and HC group. Compared with HC group, the expression of ROR-γt mRNA in AG and IG group were higher(P<0.05), but there was no significant difference between IG and AG group(P>0.05). The expression of Foxp3 mRNA were significantly lower(P<0.05) in AG and IG group compared to HC group. There was no significant difference between AG and IG group(P>0.05). The correlation analysis found the correlation of ROR-γt and Foxp3 mRNA expression levels in AG was positive correlation(r = 1.000, P<0.01), but negative correlation in IG(r=-0.999, P= 0.00). Th17 cells percentage was foundcorrelate significantly with AST in GA patients(r=-0.361, P<0.01). Conclusions: Disturbed Th17/Treg balance in GA patients may have an important role in the pathogenesis of GA.
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