Objective: To explore the relationship between smoking and hyperuricemia in Chinese residents. Methods: Based on data from the China Health and Nutrition Survey (CHNS), residents with blood samples provided in the 2009 round (including information of socio-demographic factors, lifestyle behaviors, medical history, and laboratory examinations etc.) were selected as the participants in the current analysis. Unconditional logistic regression models were utilized to compute the ORs and corresponding 95%CIs for assessing the relationship between smoking and hyperuricemia. Results: Among the 8 785 subjects, 1 435 had hyperuricemia with a prevalence rate of 16.3%, consisting of 886 men and 549 women with prevalence rates of 21.6% (886/4 110) and 11.7% (549/4 675) , respectively. Compared with never smokers, the adjusted OR (95%CI) for hyperuricemia was 0.83 (0.70-0.98) among current smokers, 0.77 (0.63-0.94) among current smokers with 20-39 years of smoking, and 0.79 (0.65-0.97) among current smokers with 11-20 cigarettes per day. When stratified by gender and compared with non-smoker, the adjusted OR (95%CI) for hyperuricemia among current smokers compared with never smokers was 0.83 (0.70-0.98) among men, while no significant association was found in female current smokers (OR=0.73, 95%CI: 0.42-1.26, P=0.260). Conclusion In Chinese residents, there is an inverse association between smoking and hyperuricemia prevalence, and this association may be related to duration and intensity of smoking among current smokers. The findings need to be validated in large prospective cohort studies.

OBJECTIVE To comprehensively evaluate the quality of Yifei qinghua ointment by multi-component quantitative analysis combined with chemometrics and entropy weight-technique for order preference by similarity to ideal solution （TOPSIS） method. METHODS The contents of lobetyolin， syringin， calycosin 7-O-β-D-glucopyranoside， ononin， astraisoflavan-7-O-β-D- glucoside， isomucronulatol 7-O-glucoside， astragaloside Ⅳ ， deapi-platycoside E， platycoside E， platycodin D3， feretoside， asperulosidic acid， asperuloside， methylophiopogonanone A and methylophiopogonanone B in 14 batches of Yifei qinghua ointment （S1-S14） were determined by high-performance liquid chromatography method. Then， the quality of 14 batches of Yifei qinghua ointment was analyzed by chemometrics （principal component analysis and orthogonal partial least-squares discriminant analysis） and entropy weight TOPSIS method. RESULTS The results of chemometrics showed that 14 batches of Yifei qinghua ointment could be clustered into three categories， S1-S6 as the first category， S7-S10 as the second category， and S11-S14 as the third category. The values of variable importance for projection of calycosin 7-O-β-D-glucopyranoside， ononin， feretoside， astragaloside Ⅳ， astraisoflavan-7-O-β-D-glucoside， lobetyolin， methylophiopogonanone A and platycoside E were higher than 1. The results of the entropy weight TOPSIS method showed that the Euclidean closeness of the optimal solution of 14 batches of Yifei qinghua ointment were between 0.152 9 and 0.736 6， and that of sample S14 was the highest （0.736 6）. CONCLUSIONS Among 14 batches of Yifei qinghua ointment， sample S14 has the best quality， and 8 components such as calycosin 7-O-β-D-glucopyranoside and ononin may be differential markers affecting the quality of Yifei qinghua ointment.

OBJECTIVE To establish a multi-index quantitative detection method， and to evaluate the quality difference of Gleditsia sinensis from different producing areas. METHODS The contents of protocatechuic acid， vanillic acid， isoscopoletin， scoparone， isovitexin， fustin， taxifolin， fisetin， quercetin， kaempferol， echinocystic acid， betulinic acid， β -sitosterol and stigmasterol were detected by high performance liquid chromatography-quantitative analysis of multi-components by single marker （HPLC-QAMS）. The chromatographic column was Kromasil C18， the mobile phase was 0.2% phosphoric acid-acetonitrile solution （gradient elution）， the detection wavelengths were 254， 360， 210 nm for different index components， the column temperature was 30 ℃ ， the flow rate was 1.0 mL/min， and the sample injection volume was 10 μL. The contents of extract and total ash were detected according to the method of Chinese Pharmacopoeia. The quality differences of 30 batches of G. sinensis （No. S1-S30） from different producing areas were evaluated by chemometrics， weighted technique for order preference by similarity to an ideal solution （TOPSIS） analysis and Logistic regression model. RESULTS The linear ranges of 14 components were 1.55-77.50， 0.71- 35.50， 0.28-14.00， 0.96-48.00， 1.77-88.50， 0.09-4.50， 4.65-232.50， 1.49-74.50， 0.37-18.50， 1.18-59.00， 7.35-367.50， 3.58- 179.00， 0.49-24.50 and 0.21-10.50 μg/mL， respectively （all r＞0.999）. The RSDs of precision， stability （24 h） and repeatability were less than 2.00%； the average recoveries were 96.99%-100.13% （all RSDs＜2.00%）， and the relative correction factor had good repeatability. The contents of extract and total ash were Δ 基金项目 湖北省中医药科研立项青年人才项目 （No. 4.2%-12.5% and 0.5%-2.3%， respectively. There was no ZY2019Q014） significant difference in the content of 14 components measured by QAMS method and external standard method （P＞0.05）. The results of chemometrics showed that 30 batches of samples were clustered into 3 categories： S1 to S11 form one category， S12 to S20 form another category， and S21 to S30 constitute the third category. Echinocystic acid， betulinic acid， taxifolin， kaempferol， isovitexin， scoparone and protocatechuic acid may be the differential components affecting the quality of G. sinensis from different producing areas. The analysis results of the weighted TOPSIS method revealed that relative closeness （Jb） for 30 batches of G. sinensis ranged from 0.144 5 to 0.721 8， with S27 achieving the highest value （Jb） of 0.721 8. The analysis results of the Logistic regression model showed that S21-S30 batches of samples were of superior grade， S1-S11 were of intermediate grade， and S12-S20 were of inferior grade. CONCLUSIONS The established HPLC-QAMS method is simple and accurate. The comprehensive evaluation method is objective and comprehensive， and can be used to evaluate the quality difference of G. sinensis from different producing areas.