A method for separation and determination of vitamin E from egg by reverse phase HPLC was introduced.The accuracy and precision of this method were much better than the ordinary method. Standrd deviation of retention time and peak area were 0.012 and 146.92, and the corresponding coefficient of variation was 0.22% and 0.44% respectively. The recovery rate was 100.6 ?3%. This method was suitable for measuring VE in egg, milk powder and cod-liver oil.

AIM: To prepare Ganmaoqing micro-pills (Rhizomaer Radix Baphicacanthis Cusiae. Folium Isatidis, etc). METHODS: Extruded-spheronizing granulator and fluidized coating-machine were applied for Ganmaoqing micro-pills' production. RESULTS: According to the method mentioned above, the content of Ganmaoqing micro-pills wasreached 96.27% paracetauol in labelled indicator. CONCLUSION: The method is feasible and convenient, the result is extract with stable quality.

Immunogenicity for medical devices of animal origin is the key and difficult point during immune safety evaluation for these devices. This paper firstly investigated the effect of collagen sponge of animal origin on mouse splenic lymphocyte transformation and proliferation, and then analyzed the influence factors on the MTT method and CFSE method. The results showed that collagen sponge extract cannot significantly induce transformation and proliferation of mouse splenic lymphocyte in vitro.
Animals ; Cells, Cultured ; Collagen ; pharmacology ; Lymphocyte Activation ; drug effects ; Mice ; Porifera ; chemistry ; Spleen ; cytology

To discuss IC50 application in cytotoxicity tests of medical devices, we firstly investigated the vibrating condition and endpoint of MTT method specified in ISO 10993-5: 2009. Furthermore, we demonstrated the application of IC50 in the result evaluation of MTT method. The experimental results show that usage of IC50 in quantitative evaluation of MTT method is feasible.
Equipment and Supplies ; adverse effects ; standards ; Inhibitory Concentration 50 ; Toxicity Tests ; methods

Objective To study the correlation between expression of COX-2,Ki-67 and neoadjuvant chemotherapy in breast cancer.Method COX-2 and Ki-67 were examined by immunohistochemical staining in 48 breast cancer samples.Results The overall response rate and clinical benefit rate to neoadjuvant chemotherapy were 70.8% and 95.8%,respectively.The expression of COX-2 and Ki-67 after the chemothempy [41.7% and (33.23±18.11)%] was significantly lower than those in prechemotherapy [62.5% and (46.81±23.17)%],P<0.05.Ki-67 index Was higher in COX-2 positive tumom than that in the COX-2 negative ones before and after neoadjuvant chemotherapy,P<0.01.The effect of neoadjuvant chemotherapy had a significantly negative correlation with COX-2 expression.Patients with high expression of Ki-67 were more likely to respond to treatment.Conclusion The expression of COX-2 and Ki-67 as molecular markers could be a guide for chemotherapy and prediction for neoadjuvant's response to chemotherapy in breast cancer.

Objective To investigate the efficacy of suprapatellar versus infrapatellar approach in tibial intramedullary nail fixation for tibial fracture. Methods Clinical trials that evaluated suprapatellar approach and infrapatellar approach for tibia intramedullary nailing fixation were searched in PubMed, EMBASE, Cochrane Central Register of Controlled Trials ( CENTRAL ) , Chinese Biology Medicine ( CBM) , Wanfang, Weipu and CNKI databases. Methodological qualities of the included studies were assessed using the Cochrane Collaboration tool and Newcastle-Ottawa Scale. Sensitivity analyses were performed to determine whether overall results were reliable. Publication bias was detected using Begg's test and Egger's test. Lysholm score, reoperation rate, Hospital for Special Surgery ( HSS ) score, operation time, intraoperative blood loss and hospital stay were selected to evaluate the clinical effect of suprapatellar approach and infrapatellar approach in tibial intramedullary nail fixation for tibial fracture. Results Two randomized controlled trials and six case-controlled studies involving 787 patients were included in the analysis. Sensitivity analyses indicated that the results were statistically significant. No significant publication bias was detected by Begg's test or Egger's test. Our meta-analysis indicated that suprapatellar approach had significantly higher Lysholm score ( MD=1. 04, 95％CI 0. 82 -1. 26, P<0. 05, I2 =10. 5％) and HSS score ( MD =0. 97, 95％CI 0. 65 -1. 30, P <0. 05, I2 =0 ) than infrapatellar approach ( P <0. 05 ) . Additionally, there were no statistical differences between the two procedures in reoperation rate, operation time, intraoperative blood loss and hospital stay (P>0. 05). Conclusion Compared with infrapatellar approach, suprapatellar approach in intramedullary nail fixation for tibial fracture can better relieve the pain, keep stability and motion of the knee joint and promote function recovery of knee joint.

BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

Objective:To investigate the plasma differential protein expressions between patients with Alzheimer's disease (AD) and normal controls, and to search plasma protein markers or protein combinations with screening or diagnostic significance.Methods:Plasma samples from 98 patients with dementia of Alzheimer type (DAT), 102 patients with mild cognitive impairment (MCI) and 101 normal controls (NC) were collected from Wuxi Mental Health Center and Shanghai Mental Health Center from 2016 to 2018.The expression levels of 50 kinds of plasma proteins in all plasma samples were detected by Milliplex MAP assays(xMAP).Analysis of variance, regression analysis, discriminant analysis, and ROC analysis on the data were performed using SPSS 20.0 software.Results:(1)Compared with the NC group, 26 plasma proteins were up-regulated and 4 proteins were down-regulated in DAT group, while 6 proteins were up-regulated and 4 proteins were down-regulated in MCI group(all P<0.05).Compared with the NC group, 6 proteins were upregulated in both MIC group and DAT group, which were clusterin(Clust) (613.41(278.89), 761.76(358.60), 473.01(321.73)), cystatin C(Cys C) (691.88(441.34), 852.28(551.75), 548.64(545.28)), transthyretin(TTR) (207.10(168.60), 220.95(151.20), 152.89(162.70)), complement factor H(Com FH) (331.67(218.37), 361.69(124.64), 225.79(236.82)), soluble intercellular adhesion molecule-1(sICAM1) (109.30(49.47), 137.21(50.36), 87.06(57.59), and apolipoprotein E(APOE) (79.33(78.13), 79.31(68.85), 54.88(67.34)).The serum amyloid P component(SAP) was downregulated in both DAT and MCI groups(121.23(311.31), 92.39(156.62), 125.00(242.82)) compared with NC group.(2)Three sets of protein combination were screened by differential analysis, regression analysis, and discriminant analysis, including 8 proteins, 9 proteins and 7 proteins, respectively.And SAP, angiotensin (AGT), osteopontin (OPN), and complement C4 (Com C4) were the compared with NC group most frequently selected protein.The screening correct rate of three protein combinations were respectively 67.4%-71.4% for AD, 82.4%-88.4% for DAT, and 60.6%-63.5% for MCI. Conclusions:A variety of plasma proteins such as Clust, Cys C, TTR, Com FH, sICAM1, APOE are upregulated, while SAP is downregulated in AD patients.These differential protein combinations can help with early diagnosis of dementia with Alzheimer type.SAP, AGT, OPN and Com C4 may be potential markers for early screening or diagnosis of AD.

Immunogenicity for medical devices of animal origin is the key and diffi cult point during immune safety evaluation for these devices. This paper firstly investigated the effect of colagen sponge of animal origin on mouse splenic lymphocyte transformation and proliferation, and then analyzed the infl uence factors on the MTT method and CFSE method. The results showed that colagen sponge extract cannot signifi cantly induce transformation and proliferation of mouse splenic lymphocyte in vitro.

Objective To investigate the distribution and antimicrobial resistance profiles of the common pathogens isolated from urine from 2015 to 2021 in the CHINET Antimicrobial Resistance Surveillance Program.Methods The bacterial strains were isolated from urine and identified routinely in 51 hospitals across China in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Antimicrobial susceptibility was determined by Kirby-Bauer method,automatic microbiological analysis system and E-test according to the unified protocol.Results A total of 261 893 nonduplicate strains were isolated from urine specimen from 2015 to 2021,of which gram-positive bacteria accounted for 23.8％(62 219/261 893),and gram-negative bacteria 76.2％(199 674/261 893).The most common species were E.coli(46.7％),E.faecium(10.4％),K.pneumoniae(9.8％),E.faecalis(8.7％),P.mirabilis(3.5％),P.aeruginosa(3.4％),SS.agalactiae(2.6％),and E.cloacae(2.1％).The strains were more frequently isolated from inpatients versus outpatients and emergency patients,from females versus males,and from adults versus children.The prevalence of ESBLs-producing strains in E.coli,K.pneumoniae and P.mirabilis was 53.2％,52.8％and 37.0％,respectively.The prevalence of carbapenem-resistant strains in E.coli,K.pneumoniae,P.aeruginosa and A.baumannii was 1.7％,18.5％,16.4％,and 40.3％,respectively.Lower than 10％of the E.faecalis isolates were resistant to ampicillin,nitrofurantoin,linezolid,vancomycin,teicoplanin and fosfomycin.More than 90％of the E.faecium isolates were ressitant to ampicillin,levofloxacin and erythromycin.The percentage of strains resistant to vancomycin,linezolid or teicoplanin was＜2％.The E.coli,K.pneumoniae,P.aeruginosa and A.baumannii strains isolated from ICU inpatients showed significantly higher resistance rates than the corresponding strains isolated from outpatients and non-ICU inpatients.Conclusions E.coli,Enterococcus and K.pneumoniae are the most common pathogens in urinary tract infection.The bacterial species and antimicrobial resistance of urinary isolates vary with different populations.More attention should be paid to antimicrobial resistance surveillance and reduce the irrational use of antimicrobial agents.