Objective To discuss the relationship between monocyte CD36 expression and carotid intima-media thickness (cIMT) in rheumatoid arthritis (RA) patients.Methods A total of 207 RA patients were divided into arteriosclerosis group and non-arteriosclerosis groups in accordance with the results of ultrasound in carotid artery,and semi-quantity score was used for cIMT in patients with RA.Risk factors of cIMT in RA patients were analyzed by Spearman correlation and Logistic regression analysis.Results C reactive protein (CRP),triglyceride (TG),tumor necrosis factor (TNF),interleukin-6 (IL-6) and monocyte CD36 expression were found to be statistically different between the two groups (P ＜0.05).Monocyte CD36 fluorescence intensity was negatively correlated with TNF,IL-6,CRP and cIMT in patients with RA (r=-0.344,P＜0.01;r=-0.646,P＜0.01;r=-0.160,P=0.021;r=-0.687,P＜0.01).Logistic analysis showed that monocyte CD36 was associated with the formation of artery atheromatous plaque in patients with RA [OR=1.580,95％CI (1.057,2.36l),P＜0.01].Receiver operating characteristic curve (ROC) curve analysis showed that monocyte CD36 fluorescence intensity was useful when the value with the area under curve was 0.926,the sensitivity and specificity was 83.7％ and 82.5％ respectively.Conclusion Monocyte CD36 fluorescence intensity is correlated with artery atheromatous plaque in patients with RA,monocyte CD36 fluorescence intensity may be a marker to estimate cIMT in RA patients.

Objective To investigate the association between peripheral monocyte CD36 expression and rheum-atoid arthritis (RA).Methods A total of 108 patients with RA and 108 healthy individuals were included between 2014 and 2015.Disease Activity Score (DAS)28-erythrocyte sedimentation rate (ESR) and DAS28-C reactive protein (CRP) were used to estimate disease activity in patients with RA,and monocyte CD36 fluorescence intensity was determined by using flow cytometry.Student's t test or Mann-Whitney U test was used to compare the differences between the two groups.The categorical data was compared using x2 test.Correlations between variables were analyzed with Spearman correlation,Logistic regression analysis was used to identify risk factors associated with RA,we used receiver operating characteristic (ROC) curve to estimate the performance of relevant variables for RA.Results Low density lipoprotein cholesterin (LDL-C) [(2.8±0.8) mmol/L,(2.6±0.6) mmol/L,t=-2.046,P=0.042],ESR[25.5(18.00,40.00) mm/1 h,10.00(4.60,10.00) mm/1 h,Z=-12.786,P＜0.01],CRP [15.9 (6.71,25.43) mg/L,2.28 (1.63,4.60) mg/L,Z=-7.980,P＜0.01] and monocyte CD36 expression [(0.44±0.22)×109/L,(081 ±0.26)×109/L,t=1 1.159,P＜0.01] was statistically different between the two groups.Of note,monocyte CD36 fluorescence intensity was negatively correlated with disease activity in patients with moderate and severe disease (r=-0.146,P=0.036;r=-0.259,P=0.007).In stepwise Logistic regression analysis,monocyte CD36 fluorescence intensity was independently associated with RA [OR=0.803,P=0.002,95％CI (0.791,0.820)].ROC curve analysis showed a significant performance with area under curve of 0.855 [95％CI (0.807,0.904);P＜0.01],the sensitivity and specificity were 80.6％ and 73.1％,respectively,the cutoff values was 0.570.Conclusion Monocyte CD36 fluorescence intensity was independently associated with RA in stepwise Logistic regression analysis.A correlation between monocyte CD36 fluorescence intensity and DAS28-CRP,DAS28-ESR was observed in RA patients.

Objective: To study and explore the distribution characteristics of rs10975521A/T and rs1929992A/G polymorphism of the IL-33 gene in Chinese Guangxi population. To compare the frequency distribution differences of allele and genotype of two sites among different ethnic. Methods:The polymorphism of rs10975521A/T and rs1929992A/G of IL-33 gene in 283 subjects were analyzed with the methods of Single base extension (PCR-SEB) and DNA sequencing,and the distribution frequency and the differences between groups of that were analyzed statisticaly. Results:Three genotypes of AA,AT and TT were found in rs10975521A/T with the frequency distribution of 12. 7%,53. 0% and 34. 3% respectively and there was no significant difference between sexes of each genotype and allele frequency in the Guangxi population ( P>0. 05 ) . There were significant differences of the allele frequency of rs10975521A/T in the Guangxi population compared with that in the European (P< 0. 05), han Chinese in Bejing (P< 0. 05) and Japanese people (P< 0. 01). Three genotypes of AA,AG and GG were found in rs1929992A/G with the frequency distribution of 23. 9%,53. 7% and 13. 4% respectively and there was no significant difference between sexes of each genotype and allele frequency in the Guangxi population(P> 0. 05),but the differences of genotype frequency of rs1929992A/G was statistically significant compared with that in the European,han Chinese in Bejing and Japanese people ( P< 0. 05 ) . There were significant differences of the allele frequency between Guangxi population and European (P< 0. 01),han Chinese in Bejing(P< 0. 05). Conclusion: There are different degrees of discrepancy of rs10975521A/T and rs1929992A/G polymorphism of IL-33 gene among different race and region.

Objective To study the association between serum free fatty acid (FFA) and ankylosing spondylitis (AS).Methods According to the classification criteria,a total of 90 newly diagnosed AS patients,223 healthy individuals and 82 patients with non-inflammatory diseases were divided into three groups,and biochemistry and immunology biomarks were measured in all individuals.One-Way analysis of variance (ANOVA) test was used to compare the difference between the three groups in the serum indexes,and Logistic regression analysis was used to identify AS risk factors associated with AS.Results There were no significant differences in gender,age,body mass index (BMI),white blood cells (WBC),high-level data link control (HDL-C),low-density lipoprotein control (LDL-C),lipoproteins [Lp (a)],alkaline phosphatase (ALP) and TG in the three groups,and our results showed that serum FFA was statistical different between the three groups (F=24.191,P＜0.01),the serum level of FFA in patients with AS was higher compared with patients with noninflammatory diseases and healthy controls [(0.48 ±0.18) mmol/L,(0.28 ±0.09) mmol/L,(0.29±0.16) mmol/L;t=-5.969,P＜0.01;t=5.106,P＜0.01].Seral IgA,IgG,IgM levels,ESR and CRP were statistically different between the three groups (F=14.870,P＜0.01;F=16.464,P＜0.01;F=4.124,P=0.018;F=97.002,P＜0.01;F=22.069,P＜0.01).Gender,age,BMI,serum IgA,IgM,ALP,HDL-C,LDL-C,Lp(a) and TG levels were not associated with AS by logistic regression analysis.However,serum IgG level,ESR and CRP were associated with AS [OR05％CI):1.659(1.032,2.660),P=0.037;OR05％CI):1.340(1.005,1.787),P=0.046;OR05％CI):1.820 (1.025,3.232),P=0.041],and there is an association between FFA and AS was observed in logistic regression analysis (OR=1.132,95％CI:1.014-1.421,P=0.033).Conclusion We suggest that incre-ased FFA is closely associated with AS,and may be an underlying risk factor for AS.

OBJECTIVETo test the feasibility of using 1,5-anhydroglucose alcohol (1,5-AG) as a diagnostic indicator of fulminant type 1 diabetes (FT1DM).

METHODSFifteen patients with newly diagnosed FT1DM and 52 with type 2 diabetes (T2DM) were examined for serum biochemistry, glycosylated hemoglobin (HbAlc), and serum 1, 5-AG level.

RESULTSThe patients with FT1DM and T2DM showed significantly different fasting levels of blood glucose (FBG), fructosamine (FMN), creatinine (Cr), urea, HbAlc and serum 1,5-AG (P<0.05). In FT1DM patients, serum 1,5-AG was found to inversely correlate with FBG (r=-0.646, P=0.032) and FMN (r=-0.680, P=0.021), and in T2DM patients, serum 1,5-AG was inversely correlated with FBG (r=-0.407, P=0.001), FMN (r=-0.314, P=0.01) and HbAlc (r=-0.576, P<0.01). Receiver-operating characteristic (ROC) curve analysis showed an area under the curve of serum 1,5-AG of 0.804 with a cutoff value of 67.95, a sensitivity of 82.9% and a specificity of 60% for FT1DM diagnosis.

CONCLUSIONSerum 1, 5-AG can reflect acute blood glucose fluctuation in FT1DM patients and is useful for differential diagnosis of FT1DM when combined with evaluations of the clinical characteristics of the patients and other related indicators.

Blood Glucose ; Diabetes Mellitus, Type 1 ; blood ; diagnosis ; Diabetes Mellitus, Type 2 ; blood ; diagnosis ; Diagnosis, Differential ; Ethanol ; Glycated Hemoglobin A ; chemistry ; Humans ; ROC Curve ; Sensitivity and Specificity