中华风湿病学杂志最新文献

{"title":"Effect of placental protein 14 on the proliferation and differentiation of B cells","authors":"Huanping Wang, Hai‐yan Wu, Yu Wang, Li Wang","doi":"10.3760/CMA.J.ISSN.1007-7480.2018.07.007","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1007-7480.2018.07.007","url":null,"abstract":"Objective \u0000To investigate the effect and mechanism of placental protein 14 on the proliferation and differentiation of B cells. \u0000 \u0000 \u0000Methods \u0000The lymphocyte of human peripheral blood was separated by gradient centrifugation. Flow cytometry was used to detect the proportion of CD4+CXCR5+ follicular helper T cells (Tfh cells), CD4+CXCR5+Foxp3+ follicular regulatory T cells (Tfr cells), CD3-CD19+B cells and CD3-CD38+ plasma cells. ELISA method was used to detect the concentration of IL-21, IL-10 and TGF-beta in the supernatant, and the co-culture of cells was performed by Transwell chamber; t test was used for comparison between groups. \u0000 \u0000 \u0000Results \u0000The proportion of Tfh cells and Tfr cells in the control group was (2.52±0.16)% and (1.26±0.24)%, respectively, and that of the placental protein 14 groups were (0.84±0.09)% and (4.64±0.68)%, respectively. There was a significant difference between the two groups (t=9.150, P=0.000 8 and t=4.669, P=0.009 5). Pplacental protein 14 could further inhibit the secretion of IL-21 (t=5.086, P=0.007 1), and promote the increase of IL-10 and TGF-β concentration (t=3.599, P=0.022 8 and t=6.651, P=0.002 7). The percentage of B cells and plasma cells in the placental protein 14 group were (4.87±0.20)% and (5.41±0.54)%, which were significantly different from those in the Tfh cell group (t=4.997, P=0.007 5; t=5.110, P=0.006 9). \u0000 \u0000 \u0000Conclusion \u0000Placental protein 14 can inhibit the proliferation of B cells and differentiate into plasma cells by inhibiting the differentiation of Tfh cells and increasing the proportion of Tfr cells. \u0000 \u0000 \u0000Key words: \u0000Arthritis, rheumatoid; B cells; Placental proteins; T-lymphocytes, regulatory; T-lymphocytes, helper-inducer","PeriodicalId":10152,"journal":{"name":"Chinese Journal of Rheumatology","volume":"22 1","pages":"464-466"},"PeriodicalIF":0.0,"publicationDate":"2018-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44368850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship between nephrolithiasis and dyslipidemia in primary gout patients","authors":"Yu Wang, X. Deng, Zhuoli Zhang","doi":"10.3760/CMA.J.ISSN.1007-7480.2018.04.003","DOIUrl":"https://doi.org/10.3760/CMA.J.ISSN.1007-7480.2018.04.003","url":null,"abstract":"Objective \u0000To explore the impact of dyslipidemia on uric acid stones by analyzing the relationship between blood lipids and urolithiasis in primary gouty patients. \u0000 \u0000 \u0000Methods \u0000We retrospectively identified patients with nephrolithiasis in primary gout patients who underwent stone chemical analysis, compared with gout patients without nephrolithiasis. The clinical parameters, urine analysis and lipid levels were analyzed. Patients were divided into groups based on serum lipid levels. The groups were compared based on demographic data and stone composition. Correlations were analyzed between serum lipid, urinary pH and uric acid stones. Moreover, the risk factors of uric acid stones were determined by logistic regression analysis. Analysis of variance, t-test, chi-square test, Spearman′s test and Logistic regression were used for statistical analysis. \u0000 \u0000 \u0000Results \u0000① A total of 144 gout patients were included in study, 48 patients with urolithiasis and 96 patients without urolithiasis. ② Serum lipid levels were significantly lower in urolithiasis group than those patients without urolithiasis including triglyceride (TG) [1.6(0.9, 2.1) mmol/L vs 2.2(1.4, 3.2) mmol/L, Z=2.38, P=0.01], total cholesterol (TC) [(4.4±1.2) mmol/L vs (5.1±1.0) mmol/L, t=5.3, P=0.006]; low density lipoprotein cholesterol(LDL-C) [(2.5±0.9) mmol/L vs (3.2±0.9) mmol/L, t=4.2, P=0.005]. ③ Compared to oxalate stone formers, uric acid stone formers had significantly higher TG [(1.8±0.6) mmol/L vs (0.9±0.5) mmol/L, t=4.9, P=0.001), TC [(4.4±1.1) mmol/L vs (3.8±1.0) mmol/L, t=1.8, P=0.001] and LDL-C [(2.8±0.9) mmol/L vs (2.0±0.7) mmol/L, t=3.5, P=0.045], while the high density lipoprotein (HDL) level was lower [(0.94±0.23) mmol/L vs (1.32±0.41) mmol/L, t=-4.0, P=0.002]. ④ Percentage of uric acid stones in high TG group was higher than normal TG group [85% (17/20 vs 46.4% (13/28) , χ2=7.4, P=0.007], in addition, the percentage of uric acid stones in low HDL group was higher than normal HDL group [(82.1% (23/28) vs 35.0% (7/20) , χ2=11.1, P=0.001]. ⑤ Uric acid stones were significantly correlated with high TG, low LDL and urinary pH(r=0.522, 0.47, -0.212, respectively). Logistic analysis showed risk factors for uric acid stone in primary gouty patients were high TG [OR=2.38, 95%CI(1.41, 13.7); P=0.01] and lower HDL level [OR=0.01, 95%CI(0.01, 0.43); P=0.01]. \u0000 \u0000 \u0000Conclusion \u0000There is a link between dyslipidemia and kidney uric acid stone risk in primary gout patients. Specific alterations in patient′s lipid profile may portend unique aberrations in urine physico-chemistry and uric acid stone risk. \u0000 \u0000 \u0000Key words: \u0000Gout; Kidney; Nephrolithiasis; Dyslipidemia; Body mass index","PeriodicalId":10152,"journal":{"name":"Chinese Journal of Rheumatology","volume":"22 1","pages":"224-228"},"PeriodicalIF":0.0,"publicationDate":"2018-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44777750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}