Objective To explore the potential molecular mechanism of Maitong Jun'an decoction(MTJA)in the treatment of coronary heart disease based on network pharmacology,molecular docking and animal experiments.Methods The main active components and corresponding protein targets of MTJA were screened in Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and SwissTargetPrediction combined with literatures.Genes associated with myocardial infarction and heart failure in coronary heart disease were searched in DisGeNET,Genecards and Online Mendelian Inheritance in Man(OMIM)databases.The intersection of compound targets and disease targets was obtained,and"medicine-composition-target-disease"network was constructed.The overlapping targets were imported into STRING database to construct protein-protein interaction(PPI)network.Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)enrichment analyses were performed on the targets,and molecular docking studies were further conducted on the core targets and active compounds.The rat model of myocardial infarction was established.The morphological and pathological changes of heart tissue were observed by hematoxylin-eosin staining,and the expression of core target protein was detected by Western blotting.Results There were 264 nodes and 1 193 interrelationships in the"medicine-composition-target-disease"network.Quercetin and kaempferol were the key components as ranked by degree value.The proteins with high degree in PPI network were interleukin(IL)-6,IL-1β and protein kinase B 1(Akt1).GO and KEGG analyses showed that the mechanism of MTJA in the treatment of coronary heart disease mainly involved lipids and atherosclerosis,advanced glycation end product(AGE)-receptor for advanced glycation end product(RAGE)signaling pathway in diabetes complications,fluid shear stress and atherosclerosis,IL-17 signaling pathway,etc.The results of molecular docking showed that the important compounds of MTJA had strong binding ability with the core target.The results of animal experiments showed that MTJA could significantly alleviate the myocardial injury in rats with myocardial infarction,and reduce the expression levels of IL-1β and IL-6 proteins in apical tissue of rats with coronary heart disease.Conclusion MTJA may play a role in the treatment of coronary heart disease by reducing the expression levels of IL-1β and IL-6 proteins.

Objective To construct a risk prediction model of mild cognitive impairment(MCI)in the Chinese elderly population based on ensemble learning methods and verify it,to intervene in time and delay the progression of MCI.Methods A total of 8691 elderly people in the Chinese longitudinal health longevity study(CLHLS)from 2008 to 2018 were selected as the research objects,and the data from 2008 to 2014 were used as the training set.Data from 2014 to 2018 as a validation set.The Chinese version of the mini-mental state examination(CMMSE)was used to assess the cognitive status of the participants.Recursive feature elimination-random forest(RFE-RF),Boruta,mutual information(MI),and extra trees classifier(ETC)identified the predictors and screened out the common predictors.Use logistic regression(LR),random forest(RF),linear discriminant analysis(LDA),K-nearest neighbors(KNN),and na?ve bayes(NB)as the five single basic models,and a stacking ensemble model that integrates these basic models to predict the risk of mild cognitive impairment in elderly Chinese.Accuracy,precision,recall,and F1-score,as well as the area under the receiver operating characteristic(AUROC)and the area under the precision-recall curve(AUPRC),were used to evaluate the performance of the models.Results The performance of the stacking ensemble model under different feature selection algorithms is superior to any single base model,with AUROC greater than 0.9 in all cases.The feature selection algorithm ETC+stacking ensemble model performs best,and the AUROC and AUPRC in the test set are 0.912 and 0.872,respectively.Conclusion The stacking model shows superior performance in predicting MCI.This provides strong support for the strategy of healthy aging in China by timely identifying the high-risk groups of MCI,reducing the heavy burden of MCI brought by the elderly.

Objective:To analyze the trend of infertility disease burden from 1990 to 2019 and predict the age-standardized prevalence rate (ASPR) and age-standardized disability-adjusted life-year (DALY) rate of male and female infertility for 2020—2029, providing a certain reference for the prevention and treatment of infertility diseases.Methods:Based on the Global Burden of Disease 2019, prevalence, ASPR, DALY rate, and age-standardized DALY rate were used to evaluate the global burden of infertility comprehensively. The estimated annual percentage change was used to describe trends in the disease burden of infertility in 21 regions worldwide. The Bayesian age period cohort model was used to predict the ASPR and age-standardized DALY rate for male and female infertility in 204 countries and regions from 2020 to 2029. Sensitivity analysis was performed using the autoregressive integrated moving average model.Results:The prevalence, DALY rate, ASPR and age-standardized DALY rate of global male infertility increased from 319.52 per 100 000,1.82 per 100 000, 2 856.53 per 100 000, and 16.19 per 100 000 in 1990 to 565.30 per 100 000, 3.22 per 100 000, 3 398.53 per 100 000, and 19.36 per 100 000 in 2019, respectively. The prevalence, DALY rate, ASPR, and age-standardized DALY rate of global female infertility increased from 656.67 per 100 000, 3.53 per 100 000, 6 036.36 per 100 000, and 32.27 per 100 000 in 1990 to 1 223.78 per 100 000, 6.59 per 10 000, 7 483.12 per 100 000, and 40.33 per 100 000 in 2019, respectively. The burden of infertility disease was the highest in men and women aged 30-34 years, and the ASPR and age-standardized DALY rates were 4 407.47 per 100 000, 25.08 per 100 000, 10 270.55 per 100 000 and 55.65 per 100 000, respectively. Only in 45-49 years of age, the prevalence of infertility (11.31 per 100 000) and DALY rate (0.06 per 100 000) in women were lower than those in men (15.68 per 100 000 and 0.08 per 100 000). In addition, the burden of infertility was the lowest in high socio-demographic index regions. Cameroon had the highest ASPR (7 652.40 per 100 000) and age-standardized DALY rate (43.94 per 100 000) for male infertility. Chinese women had the highest ASPR (20 402.30 per 100 000) and age-standardized DALY rate (106.16 per 100 000) of infertility. The forecast results show that the burden of male and female infertility diseases will increase in 204 countries and regions from 2020 to 2029.Conclusion:The burden of infertility diseases in men and women increased in 204 countries and regions from 1990 to 2019, and it is predicted that the global burden of infertility diseases will continue to rise in 2020—2029. Preliminary screening of infertility should be carried out as soon as possible, health education should be strengthened and effective prevention and treatment strategies should be formulated.

Objective:To establish a highly sensitive indirect competitive ELISA(icELISA)method for detecting ribavirin in chicken.Methods:Based on the obtained monoclonal antibodies against ribavirin,a chessboard test was employed to determine the optimal working concentration of artificial antigen and antibody,and then established an icELISA method.Furthermore,performance of the detection method was evaluated.Results:The established icELISA method has a linear range of 0.44～32.71 ng/ml,IC50 of which was 3.78 ng/ml,and the limit of detection(LOD)was 0.20 ng/ml.Except for specific reaction with ribavirin,there were no cross reactions with other antiviral drugs.Recovery rate of sample spiking was between 91.60%and 100.76%,and coefficient of variation was between 7.29%and 10.63%.Conclusion:A highly sensitive and specific icELISA method for detection of ribavirin has been estab-lished,which can be used to determine the residue of ribavirin in chicken.

Objective:To analyze the trend of infertility disease burden from 1990 to 2019 and predict the age-standardized prevalence rate (ASPR) and age-standardized disability-adjusted life-year (DALY) rate of male and female infertility for 2020—2029, providing a certain reference for the prevention and treatment of infertility diseases.Methods:Based on the Global Burden of Disease 2019, prevalence, ASPR, DALY rate, and age-standardized DALY rate were used to evaluate the global burden of infertility comprehensively. The estimated annual percentage change was used to describe trends in the disease burden of infertility in 21 regions worldwide. The Bayesian age period cohort model was used to predict the ASPR and age-standardized DALY rate for male and female infertility in 204 countries and regions from 2020 to 2029. Sensitivity analysis was performed using the autoregressive integrated moving average model.Results:The prevalence, DALY rate, ASPR and age-standardized DALY rate of global male infertility increased from 319.52 per 100 000,1.82 per 100 000, 2 856.53 per 100 000, and 16.19 per 100 000 in 1990 to 565.30 per 100 000, 3.22 per 100 000, 3 398.53 per 100 000, and 19.36 per 100 000 in 2019, respectively. The prevalence, DALY rate, ASPR, and age-standardized DALY rate of global female infertility increased from 656.67 per 100 000, 3.53 per 100 000, 6 036.36 per 100 000, and 32.27 per 100 000 in 1990 to 1 223.78 per 100 000, 6.59 per 10 000, 7 483.12 per 100 000, and 40.33 per 100 000 in 2019, respectively. The burden of infertility disease was the highest in men and women aged 30-34 years, and the ASPR and age-standardized DALY rates were 4 407.47 per 100 000, 25.08 per 100 000, 10 270.55 per 100 000 and 55.65 per 100 000, respectively. Only in 45-49 years of age, the prevalence of infertility (11.31 per 100 000) and DALY rate (0.06 per 100 000) in women were lower than those in men (15.68 per 100 000 and 0.08 per 100 000). In addition, the burden of infertility was the lowest in high socio-demographic index regions. Cameroon had the highest ASPR (7 652.40 per 100 000) and age-standardized DALY rate (43.94 per 100 000) for male infertility. Chinese women had the highest ASPR (20 402.30 per 100 000) and age-standardized DALY rate (106.16 per 100 000) of infertility. The forecast results show that the burden of male and female infertility diseases will increase in 204 countries and regions from 2020 to 2029.Conclusion:The burden of infertility diseases in men and women increased in 204 countries and regions from 1990 to 2019, and it is predicted that the global burden of infertility diseases will continue to rise in 2020—2029. Preliminary screening of infertility should be carried out as soon as possible, health education should be strengthened and effective prevention and treatment strategies should be formulated.

Objective:To establish a highly sensitive indirect competitive ELISA(icELISA)method for detecting ribavirin in chicken.Methods:Based on the obtained monoclonal antibodies against ribavirin,a chessboard test was employed to determine the optimal working concentration of artificial antigen and antibody,and then established an icELISA method.Furthermore,performance of the detection method was evaluated.Results:The established icELISA method has a linear range of 0.44～32.71 ng/ml,IC50 of which was 3.78 ng/ml,and the limit of detection(LOD)was 0.20 ng/ml.Except for specific reaction with ribavirin,there were no cross reactions with other antiviral drugs.Recovery rate of sample spiking was between 91.60%and 100.76%,and coefficient of variation was between 7.29%and 10.63%.Conclusion:A highly sensitive and specific icELISA method for detection of ribavirin has been estab-lished,which can be used to determine the residue of ribavirin in chicken.

Objective To construct a risk prediction model of mild cognitive impairment(MCI)in the Chinese elderly population based on ensemble learning methods and verify it,to intervene in time and delay the progression of MCI.Methods A total of 8691 elderly people in the Chinese longitudinal health longevity study(CLHLS)from 2008 to 2018 were selected as the research objects,and the data from 2008 to 2014 were used as the training set.Data from 2014 to 2018 as a validation set.The Chinese version of the mini-mental state examination(CMMSE)was used to assess the cognitive status of the participants.Recursive feature elimination-random forest(RFE-RF),Boruta,mutual information(MI),and extra trees classifier(ETC)identified the predictors and screened out the common predictors.Use logistic regression(LR),random forest(RF),linear discriminant analysis(LDA),K-nearest neighbors(KNN),and na?ve bayes(NB)as the five single basic models,and a stacking ensemble model that integrates these basic models to predict the risk of mild cognitive impairment in elderly Chinese.Accuracy,precision,recall,and F1-score,as well as the area under the receiver operating characteristic(AUROC)and the area under the precision-recall curve(AUPRC),were used to evaluate the performance of the models.Results The performance of the stacking ensemble model under different feature selection algorithms is superior to any single base model,with AUROC greater than 0.9 in all cases.The feature selection algorithm ETC+stacking ensemble model performs best,and the AUROC and AUPRC in the test set are 0.912 and 0.872,respectively.Conclusion The stacking model shows superior performance in predicting MCI.This provides strong support for the strategy of healthy aging in China by timely identifying the high-risk groups of MCI,reducing the heavy burden of MCI brought by the elderly.

Objective:To explore the effects of phased goal directed fluid therapy (GDFT) during anesthesia surgery on tissue perfusion and cognitive function in patients undergoing radical lung cancer surgery.Methods:A total of 108 lung cancer patients were prospectively selected and randomly divided into a control group and a study group using a random number table method. The control group received classical restrictive liquid therapy, while the study group received staged GDFT. We compared the surgical time, intraoperative blood loss, colloid fluid dosage, crystalloid fluid dosage, total output, and urine volume between two groups of patients; Two groups of patients were compared in terms of oxygenation index (OI), respiratory index (RI), central venous oxygen saturation (ScvO 2), lactate (Lac), central venous arterial carbon dioxide partial pressure difference (Pcv-aCO 2), oxygen supply index (DO 2I), and oxygen uptake rate (O 2ERe) before anesthesia induction (T 0), before single lung ventilation (T 1), 1 hour of single lung ventilation (T 2), immediate resumption of dual lung ventilation (T 3), 30 minutes of dual lung ventilation (T 4), and after surgery (T 5); The Mini Mental State Examination (MMSE) was used to evaluate the cognitive function scores of two groups of patients 1 day before surgery and 1 and 3 days after surgery, while recording the incidence of cognitive dysfunction (POCD) and pulmonary complications (including pulmonary infection, acute lung injury, pulmonary embolism, pulmonary edema, atelectasis, etc.) within 3 days after surgery. Results:The amount of crystal fluid and urine output in the research group was significantly lower than that in the control group, while the amount of colloidal fluid was significantly higher than that in the control group (all P<0.05). The OI of the study group T 1-T 5 was significantly higher than that of the control group, while the RI of T 2-T 5 was significantly lower than that of the control group (all P<0.05). The ScvO 2 of the study group T 1 to T 5 was significantly higher than that of the control group, and the Lac was significantly lower than that of the control group (all P<0.05); The MMSE scores of both groups of patients were significantly lower than those before surgery on day 1 and 3 after surgery, and the MMSE scores of the study group were significantly higher than those of the control group on day 1 and 3 after surgery (all P<0.05). The incidence of POCD within 3 days after surgery in the study group was 16.67%(9/54), lower than 37.04%(20/54) in the control group (χ 2=5.704, P=0.017); The incidence of pulmonary complications in the study group was lower than that in the control group (5.56% vs 22.22%, χ 2=4.955, P=0.026). Conclusions:The application of staged GDFT during anesthesia in patients undergoing radical lung cancer surgery can further improve tissue perfusion, improve microcirculation and oxygen supply-demand balance of systemic organs and tissues, including the brain, alleviate perioperative brain function damage, and reduce the occurrence of postoperative POCD compared to conventional liquid therapy.

Objective·To investigate the effects of sennoside A(SA)on the formation of atherosclerotic plaque and the expression of 5-hydroxytryptamine(5-HT)and its receptor in mice with diabetes mellitus type 2(T2DM).Methods·Twelve mice with knocked-out apolipoprotein E gene were randomly divided into two groups,namely the model group and the model+SA group,with six mice in each group.Six C57BL/6J mice with the same genetic background were used as the control group.The control group was fed with normal diet,and the model group and the model+SA group were given intraperitoneal injection of streptozotocin(30 mg/kg)daily on the basis of high-fat diet to establish a model of T2DM.The model+SA group was given SA daily by gavage for 8 weeks,and the control group and the model group were given equal volume of distillation-distillation H2O by gavage.The body weight,fasting blood glucose(FBG)and 2-h postprandial blood glucose of mice were compared before and after modeling and treatment.The area of aortic plaque was observed by oil red O staining and hematoxylin-eosin(H-E)staining,and the level of 5-HT in serum and thoracic aorta was measured by ELISA kit.Western blotting was used to detect the expression of 5-hydroxytryptamine receptor 2B(HTR2B)and serotonin transporter(SERT)in thoracic aorta of mice.Results·Compared with the control group,the body weight,FBG and 2-h postprandial blood glucose in the model group increased,and glucose metabolism was disordered.The expression of HTR2B and SERT protein in thoracic aorta increased,while the concentration of 5-HT in thoracic aorta decreased.The serum 5-HT concentration increased(all P<0.05).After treatment with SA,compared with the model group,the body weight of the model+SA group decreased,and FBG and 2-h postprandial blood glucose were significantly improved.The area of aortic plaque and the expression of HTR2B and SERT protein in thoracic aorta significantly decreased,while the concentration of 5-HT increased.The serum 5-HT concentration decreased(all P<0.05).Conclusion·SA can reduce atherosclerotic plaque area in T2DM mice,which may be related to lowering blood glucose and inhibiting the expression of 5-HT and its receptor.

The medical-industrial fusion training model combines the knowledge and technology of medical and engineering disciplines in the training of oncology graduate students, which can help accurate diagnosis and treatment of tumors, promote cooperation and innovation in oncology research, as well as promote the cultivation and exchanges of composite and innovative medical talents in oncology, promote the innovation and development of oncology diagnostic and treatment technology, and improve the survival rate and quality of life of oncology patients. This paper discusses the application of medical-industrial fusion training model in the training of o ncology professionals, and explores the new teaching mode of medical-industrial fusion thinking in the cultivation of complex and innovative medical talents in oncology under the background of "new medical science".