Objective To investigate the distribution of elderly metabolic syndrome(MS)and its components in the elderly population,and to analyze its correlation with the common chronic diseases in the elderly.Methods The general situation,history of diseases and health examination results were collected in 362 elderly with an average age of 79.2 years visiting Beijing Hospital.They were grouped into 3 groups of the young old age(65-74 years old),the middle old age(75-84 years old)and the older old age(85-98 years).The prevalence distribution of MS and its correlation with the common chronic diseases in the elderly were analyzed.Results MS prevalence in average was 28.4％ (103 cases)in the elderly population,with 18.6％ (67 cases) in the young old group,26.3％ (95 cases)in middle old group,and 33.7％ (122 cases)in older old group.The tendency was rising up with age increase,and the MS prevalence was higher in older old group than in other groups (x2 =8.57,P =0.03).Correlation was observed between genesis of MS and common geriatric chronic diseases.The prevalence differences in hypertension,prostatic hyperplasia,diabetes mellitus,and coronary heart disease were statistically significant higher in MS group than in non-MS group(P =0.02,0.01,0.02,0.03,respectively).Conclusions MS prevalence of elderly population is relatively high,and has significant correlation with other chronic diseases.We need to recognize the harm of MS,to conduct regular monitoring and management according to risk level,and practice patient educations to reduce MS negative effects on elderly life quality and health.

This study was ai med to observe the taste-masking effects of Neotame on bitter Chinese herbal ingredients. Five kinds of herbal ingredients, which include Scutellaria baicalensis Georgi, Cortex Phellodendri chinensis, Coptis chinensis Franch, Gentiana scabra Bunge, Andrographis paniculata, were selected to measure the bitterness degree of decoctions with berberine solution as the benchmark. The decreasing of bitterness degree was used as index. Healthy volunteers were recruited to taste and compare the changes of bitterness of decoctions with the taste-masking effects of Neotame. Different concentrations of Neotame were selected in the determination of the influence on changes of bitterness. The results showed that when the concentration of Neotame was at 0.012 5‰-0.4‰, taste-masking effects of Neotame on selected herbal decoctions were in a concentration-dependent fashion. When the concentration of Neotame was 0.4‰, the reduced bitterness of S. baicalensis Georgi and Cortex P. chinensis decoctions were 1.22 and 1.77, by 70.11% and 71.88%, respectively. Three highly-bitter herbal ingredients C. chinensis Franch, G. scabra Bunge and A . paniculata were also reduced in bitter taste by 49.12%, 50.87% and 38.39%, with the bitter reduced value (△I) of 1.78, 2.02 and 1.43, respectively. It was concluded that Neotame exerted taste masking potential on bitter herbal ingredients with different bitter degrees.

Objective To optimize preparation process of Zushima Gel Cream. Methods The comprehensive evaluation set sensory evaluation, initial adhesive force, viscous force, and peeling strength score as indexes. The mixing time, refining temperature, mixing speed, and powder adding sequence were investigation factors. Orthogonal experiment was used to optimize forming process. Results Conditions of optimized preparation process were as following: add Zushima powder in Viscomate NP-700 and glycerol; mixing time was 5 min; refining temperature was 40 ℃; mixing speed was 100 r/min. Conclusion The preparation process is good and optimized Zushima Gel Cream has a good adhesive force, good glossiness and excipients. The preparation process is good.

Objective The quality evaluation of the Shuwei mixture was determined by the content of the six components of sinapine cyanide sulfonate, magnolol, honokiol, hesperidin, naringin and neohesperidin. Methods RP-HPLC method was used.The separation was performed on a Agilent ZORBAX Eclispse SB-C18column (4.6 mm×250 mm,5 mm),the mobile phase consisted of acetonitrile(A)-0.1% phosphoric acid with gradient elution at the flow rate of 1.0 mL·min-1.The detection wavelength was 326 nm ( sinapine cyanide sulfonate ), 294 nm ( magnolol, honokiol ) and 283 nm ( naringin, neohesperidin).The column temperature was kept at 30 ℃. Results The sinapine cyanide sulfonate, magnolol, honokiol, hesperidin,naringin and neohesperidin all had good linear relationship in the ranges of 0.049 6-1.24,0.048 2-1.205,0.060 5-1.512 5,0.187 2-4.68,0.131 6-3.29,0.197-4.925 μg.The average recoveries were 100.66%, 99.86%, 101.37%, 102.41%, 99.01%, 102.05%, respectively, RSD were 0.82%, 1.89%, 2.56 %, 0.74%, 1.54%, 0.99%, respectively. Conclusion The method is simple,accurate,reproducible and nice to the separation,and can be used for the quality evaluation of Shuwei mixture.

Objective:To investigate the distribution characteristics of cognition-related lifestyles of elderly in communities and explore the integrated effects on early cognitive decline.Methods:The participants were from the Project of Prevention and Intervention of Neurodegenerative Disease for Elderly in China. A total of 2 537 older adults aged ≥60 years without dementia in the 2015 baseline survey and the 2017 follow-up survey were included. The information about their cognition-related lifestyles, including physical exercise, social interaction, leisure activity, sleep quality, smoking status, and alcohol consumption, were collected through questionnaire survey and the integrated scores were calculated. Multivariate logistic regression analysis was used to assess the association between integrated cognition-related lifestyle score and early cognitive decline.Results:In the 2 537 older adults surveyed, 28.7% had score of 5-6, while only 4.8% had high scores for all 6 healthy lifestyles. Significant differences in healthy lifestyle factor distributions were observed between men and women. Multivariate logistic regression model showed that the risks for early cognitive decline in the older adults who had lifestyle score of 4 and 5-6 were lower than that in those with lifestyle score of 0-3 ( OR=0.683, 95% CI: 0.457-1.019; OR=0.623, 95% CI: 0.398-0.976; trend P=0.030). In the women, the risks for early cognitive decline was lower in groups with score of 4 and 5-6 than in group with score of 0-3 ( OR=0.491, 95% CI: 0.297-0.812; OR=0.556, 95% CI: 0.332-0.929; trend P=0.024). Conclusion:Cognition-related healthy lifestyles are associated with significantly lower risk for early cognitive decline in the elderly, especially in women.

ObjectiveTo investigate the feasibility of applying electronic nose technology to rapidly identify Bletillae Rhizoma and its approximate decoction pieces. MethodA total of 134 batches of Bletillae Rhizoma and its approximate decoction pieces， including 45 batches of Bletillae Rhizoma， 30 batches of Gastrodiae Rhizoma， 30 batches of Polygonati Odorati Rhizoma and 29 batches of Bletillae Ochraceae Rhizoma， were collected as test samples. The olfactory sensory data of the samples were collected by PEN3 electronic nose as the independent variable（X）. Based on the identification results of the 2020 edition of Chinese Pharmacopoeia and local standards， as well as the high performance liquid chromatography（HPLC） fingerprint and original purchase information of 134 batches of the decoction pieces， the benchmark data Y of the identification model were obtained， and four chemometric methods of principal component analysis-discriminant analysis（PCA-DA）， partial least squares-discriminant analysis（PLS-DA）， least square-support vector machine（LS-SVM） and K-nearest neighbor（KNN） were used to establish the binary identification model for 45 batches of Bletillae Rhizoma and 89 batches of non-Bletillae Rhizoma and the quadratic identification model of the four kinds of decoction pieces， that is， Y=F（X）. ResultAfter leave-one-out cross validation， the positive discrimination rates of the above four models were 97.01%， 97.01%， 98.51% and 97.01% in the binary identification， and 97.76%， 89.55%， 98.51% and 97.01% in the quadratic identification， respectively. The highest positive discrimination rate could reach 98.51% for the binary and quadratic identification models， and LS-SVM algorithm is both the optimal one， the most suitable kernel functions were chosen as radial basis function and linear kernel function， respectively. The optimal models discriminated well with no unclassified samples. ConclusionElectronic nose technology can accurately and rapidly identify Bletillae Rhizoma and its approximate decoction pieces， which can provide new ideas and methods for rapid quality evaluation of other decoction pieces.

Objective To evaluate the differences in chemical composition and pharmacological effects between Angelica-Astragalus medicine pair decoction(DGD)and traditional decotion,and to provide a reference for the rational clinical application of Danggui Buxue decoction.Methods With the two comparison methods of unified and non-uniform raw material source batches,we set up different sample groups,established characteristic maps by HPLC,and evaluated the chemical components based on the similarity of characteristic maps,component types,index component content,common peak area,and other factors.The efficacy of the drug was evaluated in the hemorrhagic blood deficiency model mice.Results ①The similarity of the feature map between the DGD and TD was high(similarity was greater than 0.87).②The number of chromatographic peaks was inconsistent.Traditional decoction from self-purchased decoction pieces,or traditional decoction-Factory A decoction pieces had a total of 12 chromatographic peaks each.The DGD of Factory A had a total of 15 chromatographic peaks.There were 10 chromatographic peaks in the DGD of Factory B.③The contents of ferulic acid and calycosin 7-O-glucoside(CG)in DGD of Factory A were higher than those in traditional decoction(P<0.05,n=3).There was no significant difference between DGD and TD ferulic acid content in Factory B,but the content of CG was lower than that in traditional decoction(P<0.05).④The total area of common peaks in DGD was different from that in TD.The relative total ratios of the contents of the components in the self-purchased traditional decoction pieces,the traditional decoction pieces of Factory A,the formula granules of Factory A,and the formula granules of Factory B were 1.00,0.96,2.14,0.60,respectively.⑤Both DGD and traditional decoction could significantly promote the recovery of hemoglobin and red blood cells in hemorrhagic anemia model mice(P<0.01);Compared with the model control group,there was a significantly difference(P<0.05)except for the DGD group of Plant B.There was no significant difference between DGD and TD of Plant A,but there was a very significant difference between DGD and TD of Plant B(P<0.01).Conclusion Whether the raw material source batch is consistent or not,DGD and TD have certain differences in chemical composition.In terms of pharmacological effect,DGD,prepared from a unified batch of decoction pieces,has similar efficacy to traditional decoction in alleviating hemorrhagic anemia.There are certain differences in the pharmacological effects between DGD prepared from different batches of decoction pieces and traditional decoctions.The differences caused by the different preparation processes of the same source batch of prepared slices were compared,and the quality differences of the formula granules from different manufacturers were caused by the different source batches of prepared slices and different preparation processes,indicating the necessity and urgency of the country to formulate a unified quality standard for formula granules and related process specifications.

OBJECTIVE： To establish the elimination method of outliers based on Grubbs rule and MATLAB language， and to evaluate the effects of it on drug bitterness evaluation. METHODS： Referring to Grubbs rule， the automatic cyclic outliers elimination method based on MATLAB language was established. Totally 20 volunteers were included in single oral taste test （Tetrapanax papyrifer） and multiple oral taste test （10 kinds of medicinal material as T. papyrifer， Changium smyrnioides， Poria cocos， etc.）. Seven sensors were selected for electronic tongue test （Clematis armandii）. The data of bitterness evaluation in above tests （oral taste test as bitterness value， electronic tongue test as response value of sensors） were used as the data source. Five researchers were selected and adopted table-by-table elimination method based on Grubbs rule （method one）， Excel software elimination method based on Grubbs rule （method two） and automatic cyclic outliers elimination method based on Grubbs rule and MATLAB language （method three） to judge and eliminate the outliers. The effects of above three methods were evaluated with the removal time and error rate of outliers as indexes. RESULTS： There were two outliers in the data of bitterness evaluation in single oral taste test； the elimination time of the three methods were（745.400 0±25.904 4），（288.333 3±31.253 1）and（0.000 3±0.000 0）s， respectively； error rates were 20.0％， 0 and 0， respectively. There were six outliers in the data of bitterness evaluation in multiple oral taste test； the elimination time of three methods were （3 693.107 7±75.023 3）， （1 494.761 4±53.826 9）， （0.005 2±0.000 0）s， respectively； error rates were 10.0％， 4.0％， 0， respectively. There were three outliers in the data of bitterness evaluation in electronic tongue test； the elimination time of three methods were （2 992.673 3±84.117 6）， （1 276.367 1±55.024 5）， （0.002 3±0.000 0）s， respectively； error rates were 5.7％， 2.9％， 0， respectively. The elimination results of the three methods were consistent. The elimination time of method two was significantly shorter than that of method one （P＜0.01）； the elimination time of method three was significantly shorter than those of method one and method two （P＜0.01）. There was no significant difference in error rate of 3 methods （P＞0.05）. CONCLUSIONS： The automatic cyclic elimination method of outliers based on Grubbs rule and MATLAB language can significantly shorten the elimination time of outliers in data of drug bitterness evaluation， improve the efficiency of data processing， and is suitable for drug bitterness evaluation.