Objective:To investigate the antitumor activity of the compound HS-4 and the action mechanism.Methods:MTT method was used to testin vitroantitumor activity of the compound HS-4. Orthotopic xenotransplantation tumor model of liver cancer was established in nude mice, and,in vivoantitumor activity of compound HS-4 was tested with a small animal in-vivo imaging system. Sequencing of small RNA library and RNA library was performed in HS-4 treated tumor cell group and control group to investigate the anti-cancer mechanism of HS-4 at level of functional genomics, using high-throughput sequencing technology. Results:HS-4 was found to have relatively highin-vitro antitumor activity against liver cancer cells, gastric cancer cells, renal cancer cells, lung cancer cells, breast cancer cells and colon cancer cells. The IC50 values against SMMC-7721 and Bel-7402 of liver cancer cells were 0.14 and 0.13 nmol/L respectively, while the IC50 values against MGC-803 and SGC-7901 of gastric cancer cells were 0.19 and 0.21 nmol/L, respectively. It was demonstrated that HS- 4 possessed a better therapeutic effect in liver cancer.Conclusions: A new reliable orthotopic xenotransplantation tumor model of liver cancer in nude mice is established. The new compounds HS-4 was found to possess relatively highin vivo andin vitroantitumor activity against liver cancer cells.

【Objective】 To establish an ARIMA model suitable for clinical platelet demand prediction in Suzhou, which can be used as reference to predict future clinical platelet demand and provide scientific basis for platelet collection, preparation, stock management and clinical deployment for blood banks, so as to achieve the maximum balance between platelets supply and demand . 【Methods】 The data of platelet consumption in Suzhou from 2009 to 2019 were collected and analyzed by SPSS 26 software, Time series analysis method was used to establish the ARIMA model. The model was further optimized through model identification, parameter estimation and optimal model test, and then used to predict clinical platelet consumption from January to November 2020. The predicted value was compared with the actual value to verify the prediction effect of the model. 【Results】 The optimal model for the prediction of platelet clinical demand was ARIMA (0, 1, 1) (0, 1, 1) 12. The ACF autocorrelation function value and PACF partial autocorrelation function value of the residuals were within 95% CI. Meanwhile, the LJUNG BOX test was 13.982 (P>0.05), indicating that there was no autocorrelation in the residuals. The trend of the curve between the predicted and actual value was basically the same(except for February 2020), and the predicted values were within 95% CI, with the average relative error of 7.22%, which was lower than 10%, showing good prediction effect. 【Conclusion】 ARIMA model can be used for short-term prediction of clinical platelets demand in Suzhou, and can provide basis for reasonable collection, preparation and deployment of platelets.

Objective:To validate an enzyme linked immunosorbent assay (ELISA) method for the quantification of rhCNB in long-tailed macaque sera.Methods: The linear,sensitivity,accuracy,precision and recovery were determined using ELISA.Results:The present ELISA method had high linearity within 0.195 ng/ml-12.5 ng/ml,the working curve of rhCNB was Y=15.1X-0.26, R2=0.996 8 , the method showed good sensitivity of 0.195 ng/ml, the accuracy were in the range of 91.9%-108.8%, and the Coefficient of variation ( CV) for inter-assay were 3.55%,1.39%and 4.71%,the intra-assay were 1.59%,3.2%and 3.8%,all less than 10%, the recoveries were in the range of 88.5% -108.3%, <110% .Thus the method was coincidence with requirement.Conclusion:Double antibody sandwich ELISA assay of rhCNB in long-tailed macaque sera has good sensitivity ,accuracy, precision and recovery and it can be used to measure rhCNB concentration in biological samples .

Objective:To develop a method for the quality control of Cuochuang powder .Methods:Rhei Radix et Rhizoma, An-gelicae Dahuricae Dadix and Saposhnikoviae Radix were identified by TLC .GC was used for the determination of patchouli alcohol , menthol and borneol .Results:The TLC spots were clear without any interference from the negative control .The linear range of pat-chouli alcohol was 0.020 1-0.805 6 mg· ml-1 , that of borneol was 0.010 0-0.401 6 mg· ml-1 , and that of menthol was 0.005 1-0.202 8 mg· ml-1.The average recovery (n=6) was 102.03% (RSD=0.91%), 100.10% (RSD =1.94%) and 103.15%(RSD=1.68%),respectively.Conclusion:The method is simple, accurate and repeatable, which can be used for the quality control of Cuochuang powder .

Objective To clarify the relationship between CT120,a novel human plasma membrane-associated gene,and the proliferation of lung adenocarcinoma cell line A549.Methods Expression vector(pcDNA3.1)containing antisense oligonucleotides of CT120 was constructed and transfected into the adenocarcinoma cell line A549.RT-PCR and Western blot detected the expression of CT120.Meantime,flow cytometry and soft agarose colony formation were applied for cell proliferation,and P53,CyclinD1 and CDK4 were detected by RT-PCR.ResultspcDNA3.1 containing antisense oligonucleotides of CT120 was successfully constructed and inhibited the expression of CT120 effectively by RT-PCR and Western blot.The expression of P53 was up-regulated and the expression of CyclinD1 and CDK4 were down-regulated.Conclusion The down-regulation of CT120 expression by antisense oligonucleotides technique may be a potential drug target for treatment of lung cancer.

OBJECTIVE:To establish a method for determining recombinant human calmodulin B subunit(rhCNB)in rat plas-ma,and study its pharmacokinetics characteristics. METHODS:ELISA double-antibody sandwich method was adopted. 1 μg/ml rhCNB monoclonal antibody mAb was wrapped,added to the to-be-test sample,rhCNB polyclonal antibody pAb(dilution ratio of 1∶5 000)and HRP-labeled conjugate of anti-IgG(dilution ratio of 1∶10 000)were added. Using tetramethylbenzidine for develop-ing,microplate reader was conducted in wavelength of 450 nm to determine the absorbance value(OD value)and plasma concen-tration of 6 rats after 2,15,30,60,120,240,480,720 min of iv 2.5 mg/kg rhCNB,and the pharmacokinetic parameters were calculated by BAPP 3.0 software. RESULTS:The linear range of rhCNB were 0.195-12.5 ng/ml(r2=0.995 0),lower limit of quan-titation was 0.195 ng/ml,accuracy were 97.300%-103.622%(RSD<7.5%,n=6);RSDs of within-batch,inter-batch,freezing and thawing 3 times were no higher than 8.5%(n=6,18,15). rhCNB pharmacokinetics characteristics in rat fitted to two-com-partment model,AUC0-720 min was 173.038 mg·min/L and t1/2 was 94.62 min. CONCLUSIONS:The established method has high specificity and sensitivity,good accuracy and precision,which can be used for rhCNB quantitative detection and pharmacokinetics study in biological samples.

Objective To explore the clinical efficacy of marginal liver from elderly donors in liver transplantation. Methods According to the inclusion and exclusion criteria, the clinical data of 127 donors and recipients were retrospectively analyzed. According to the age of donors, 127 donors were divided into the elderly group (n=27) and control group (n=100). The recovery of liver function, the occurrence of postoperative complications and survival rate of the recipients after transplantation were statistically analyzed between two groups. Results The incidence of primary nonfunction (PNF) and initial poor graft function (IPGF) did not significantly differ between the elderly and control groups (both P > 0.05). Within postoperative 2 weeks, the average levels of alanine aminotransferase (ALT) and serum total bilirubin (TB) of liver transplant recipients in the elderly group was not significantly different from those in the control group (both P > 0.05). There was no significant difference in the incidence of postoperative complications in the postoperative elderly group compared with the control group (all P > 0.05). The 1-and 3-year survival rates of the recipients in the elderly group were 84% and 78% respectively, which did not significantly differ from 89% and 79% in the control group (both P > 0.05). Conclusions Strict and sufficient quality evaluation and functional maintenance should be done for elderly donor livers. It can achieve good transplantation results by intraoperative fine operation, reducing bleeding and trauma, shortening the time of cold ischemia and operation, strengthening postoperative monitoring and implementing enhanced recovery after surgery.

【Objective】 To study the relationship between the key influencing factors and the short, medium and long term blood demand, so as to provide basis for building a blood demand prediction model with less prediction error and practical guidance. 【Methods】 Through literature research, the influencing factors of blood demand were preliminarily determined. Questionnaires were designed and distributed to relevant experts, and factor analysis was carried out on the survey results to obtain key influencing factors through Delphi method. 【Results】 Through literature research, 19 influencing factors of clinical blood demand were obtained, including policy factors, medical service demand, medical technology level, regional population, population characteristics, population structure, medical resource, number of beds, culture, natural environment, operation, patients outside the region, blood use in different departments, blood infusion, time trend, emergencies and disasters, the condition of disasters, hospitals in disaster area, limited diagnosis and treatment ability. Through Delphi method and data analysis, six key factors affecting blood demand were obtained, namely sudden disaster, medical resource, environmental factor, population, bed number and blood infusion. 【Conclusion】 The influence of key factors on clinical blood demand was divided into multiple hierarchies. Blood infusion and sudden disaster were short-term influencing factors. Medical resource, population and number of beds were medium influencing factors. Environmental factor was long-term influencing factor. Short, medium and long-term influencing factors were interrelated, and have different impacts on clinical blood demand. Based on the interaction relationship, a three-dimensional mathematical model of influencing factors of clinical blood demand was established, which provided a preliminary research basis for building a blood demand prediction model with less prediction error and practical guidance.

Hyperuricemia/gout is a common metabolic disease in China, which is a serious threat to people′s health. In clinical practice, the standardization of prevention and diagnosis and the rate of treat-to-target need to be improved. There is still a lack of education for the patients about the understanding of clinical guidelines, the disease knowledge and the importance of cooperating with doctors to carry out diagnosis and treatment. From the most concerned issues of the patients, we established the hyperuricemia/gout patient practice guideline working group with multidisciplinary physicians and patients. Seventeen opinions, as the hyperuricemia/gout patient practice guidelines, are proposed in accordance with the relevant principles of the "WHO guidelines development manual" , and with the international normative process, aiming to improve the patients compliance, improve the level of health management of the disease.

【Objective】 To establish a prediction model of clinical blood demand in Suzhou urban area by ARIMA model, and to predict future clinical blood demand by sorting out the historical data, so as to guide the reasonable collection and scientific deployment of blood resources, and achieve the balance of clinical blood supply and demand. 【Methods】 The monthly data of clinical use of plasma components in Suzhou city from 2009 to 2019 were obtained, and analyzed by SPSS26 software and ARIMA model. Through model identification, parameter estimation and optimal model test, the optimal model for clinical blood prediction was determined and used to predict the clinical consumption of plasma components from January to November 2020. The predicted value was compared with the actual value to verify the prediction effect of the model. 【Results】 The optimal model was ARIMA(0, 1, 1)(0, 1, 1)12. The values of ACF autocorrelation function and PACF partial autocorrelation function of residual were both within 95%CI. Meanwhile, the Yang-Box Q statistic value was 11.596, P>0.05, which passed the white noise test. The predicted values of clinical consumption of plasma components in Suzhou urban area from January to November 2020 were all within 95%CI, consistent with the trend of actual values, with small mean relative error(7.9%) and good prediction effect. 【Conclusion】 ARIMA model can be used for short-term prediction on clinical use of plasma components in Suzhou city, and provide reference for reasonable collection, preparation and scientific deployment.