ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

ObjectiveTo explore the mechanism by which Sini San （SNS） inhibits ferroptosis， alleviates inflammation and myocardial injury， and improves myocardial infarction （MI）. MethodsThe active ingredients of SNS were obtained by searching the Traditional Chinese Medicine System Pharmacology Platform （TCMSP） database， its target sites were predicted using the SwissTargetPrediction Database， and the core components were screened out using the CytoNCA plug-in. The targets of MI and ferroptosis were obtained by using GeneCards， Online Mendelian Inheritance in Man （OMIM） database， DrugBank， Therapeutic Target Database （TTD）， FerrDb database and literature review， respectively. The intersection of these targets of SNS-MI-ferroptosis was plotted as a Venn diagram. The protein-protein interaction （PPI） network was constructed using the STRING database， and the visualization graph was prepared using Cytoscape. The core targets were screened out using the CytoNCA plug-in， and the biological functions were clustered by the MCODE plug-in. Gene Ontology （GO） functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis were performed using the David database. Molecular docking was performed using AutoDock and visualized with PyMOL2.5.2. The Kunming mice were randomly divided into the control group， the model group， the SNS group， and the trimetazidine （TMZ） group. The mice were subcutaneously injected with isoprenaline （ISO， 5 mg·kg^-1·d^-1） to establish an MI model. The drug was continuously intervened for 7 days. The ST-segment changes were recorded by electrocardiogram （ECG）， and the tissue morphology changes were observed by hematoxylin-eosin （HE） staining. Cardiomyocyte ferroptosis was investigated by transmission electron microscopy. Serum creatine kinase （CK）， creatine kinase isoenzyme （CK-MB）， lactate dehydrogenase （LDH）， reduced glutathione （GSH）， and malondialdehyde （MDA） levels were detected by biochemical assay. Enzyme-linked immunosorbent assay （ELISA） was used to detect serum levels of interleukin （IL）-6 and 4-hydroxynonenal （4-HNE）. Immunohistochemical staining was employed to detect IL-6 and phosphorylated signal transducer and transcription activator 3 （p-STAT3） in cardiac tissues. Western blot was used to detect STAT3 and p-STAT3 in cardiac tissues. Real-time PCR was used to detect the levels of IL-6， IL-18， solute carrier family 7 member 11 （SLC7A11）， arachidonic acid 15-lipoxygenase （ALOX15）， and glutathione peroxidase 4 （GPx4） in cardiac tissues. ResultsA total of 121 active ingredients of SNS were obtained， and 58 potential targets of SNS in the treatment of MI by regulating ferroptosis were screened. The three protein modules with a score5 were mainly related to the inflammatory response. The GO function was mainly related to inflammation， and KEGG enrichment analysis showed that SNS mainly regulated ferroptosis- and inflammation- related signaling pathways. Molecular docking indicated that the core component had a higher binding force to the target site. Animal experiments confirmed that SNS reduced the level of p-STAT3 （P0.01）， down-regulated the expression of ALOX15 mRNA （P0.01）， up-regulated the level of serum GSH， and the expressions of SLC7A11 and GPx4 mRNA， reduced MDA and 4-HNE levels （P0.05， P0.01）. Additionally， SNS improved the mitochondrial injury induced by cardiomyocyte ferroptosis， reduced the area of MI， alleviated inflammation and myocardial injury， lowered the levels of serum CK， CK-MB， LDH， IL-6， and the mRNA expression levels of IL-16 and IL-18 （P0.05）， and improved ST segment elevation. ConclusionSNS can reduce ISO-induced STAT3 phosphorylation levels， inhibit ferroptosis in cardiomyocytes， alleviate inflammation and myocardial injury， thereby improving MI.

There are many kinds of zirconia repair materials that have been introduced at home and abroad.Mechanical and aesthetic properties are the important factors for selecting zirconia materials.The process of diagnosis and treatment by dentists and the production by the workers in laboratory affect the final repair effects.To achieve accurate and efficient simulation of dental repair and treatment,effective cooperation between dentists and technicians is required.In this paper,the factors affecting mechanical and aes-thetic properties in the process of material selection,tooth wearing,restoration design and fabrication,concerning zirconia veneer,sin-gle-crown,fixed bridge and edentulous jaw implant fixed repair were discussed and summarized.The common failure reasons were ana-lyzed in order to improve the communication efficiency between dentists and technicians in the process of zirconia repair system and to a-chieve better repair effects.

OBJECTIVE To investigate whether aldo-keto reductases(AKRs)can act as a nitrore-ductase(NR)and bioactivate aristolochic acid Ⅰ(AA-Ⅰ)to produce AA-Ⅰ-DNA adducts.METHODS① Human-induced hepatocytes(hiHeps)and human bladder RT4 cells were used as tool cells and treated with AA-Ⅰ0,0.5,1.0 and 2 μmol·L-1 for 24 h.Cell viability was detected using the CCK-8 method,and the half maximal inhibition concentration(IC50)was calculated using the CCK-8 method and the level of DNA adduct production was calculated.②hiHeps and RT4 cells were treated with AKR inhibitor luteotin(0,5,10 and 25 μmol·L-1)+AA-Ⅰ 0.2 and 1.0 μmol·L-1 for 24 h,respectively,and the levels of DNA adducts were detected by a liquid chromatography-tandem mass spectrometer(LC-MS/MS).③hiHeps cells were incubated with 80 nmol·L-1 small interfering RNAs(si-AKRs)for 48 h and treated with AA-Ⅰ1.0 μmol·L-1 for 24 h.Real-time qualitative PCR(RT-qPCR)method was used to detect the mRNA expression of AKRs gene and LC-MS/MS technology was used to investigate the effect of specific AKR gene knockdown on DNA adduct levels.④500 nmol·L-1 human AKR recombinant proteins AKR1A1 and AA-Ⅰwere incubated in vitro under anaerobic conditions and the formation of AA-Ⅰ-DNA adducts was detected.RESULTS ①The IC50 of AA-Ⅰto hiHeps and RT4 cells was 1.9 and 0.42 μmol·L-1,respec-tively.The level of DNA adduct production of the two cell lines was significantly different(P<0.01).② Luteolin≥5 μmol·L-1 significantly inhibited the production of AA-Ⅰ-DNA adducts in both cells(P<0.05),and there was a concentration-dependent effect in hiHeps cells(P<0.01,R=0.84).③In the AKR family,the knockdown of AKR1A1 gene up to 80%inhibited the generation of AA-Ⅰ-DNA adducts by 30%-40%.④The AA-Ⅰ-DNA adducts were detected in the incubation of recombinant protein AKR1A1 and AA-Ⅰ under anaerobic conditions in vitro,approximately 1 adduct per 107 nucleotides.CONCLU-SION AKR1A1 is involved in AA-Ⅰ bioactivation,providing a reference for elucidation of the carcino-genic mechanism of AA-Ⅰ.

Objective:To perform harmonization based on the ComBat method for PET brain imaging scanned by different types of scanners from the same manufacturer and explored its effect on center effect.Methods:The three-dimensional (3D) Hoffman brain model was scanned by two different PET/CT instruments (Siemens Biograph64 TruePoint and Biograph128 mCT). Fourteen healthy subjects (8 males, 6 females, age: (57.7±9.5) years) underwent 18F-FDG PET/CT on Siemens Biograph64 TruePoint and 12 healthy subjects (9 males, 3 females, age: (55.8±10.5) years) underwent 18F-FDG PET/CT on Siemens Biograph128 mCT (all from Huashan Hospital, Fudan University; from November 2020 to March 2023). The whole brain was divided into 116 brain regions based on the anatomical automatic labeling (AAL) brain template. The ComBat method was applied to harmonized the PET data from brain model and healthy subjects. Mann-Whitney U test was performed on the radioactive counts and SUV ratios (SUVR) before and after homogenization acquired by both PET/CT instruments. Voxel-based statistical parametric mapping (SPM) independent-sample t test was also performed on data of healthy subjects. Results:In 3D Hoffman brain model, radioactivity counts (5 590.33(4 961.67, 6 102.95) vs 6 116.03(5 420.97, 6 660.66); z=-9.35, P<0.001) and SUVR (1.35(1.19, 1.47) vs 1.37(1.21, 1.49); z=-3.63, P<0.001) were significantly different between the two PET/CT scanners before harmonization and not after harmonization (radioactivity counts: 5 845.95(5 192.68, 6 378.63) vs 5 859.17(5 193.84, 6 380.52); SUVR: 1.35(1.20, 1.48) vs 1.36(1.20, 1.49); both z=-0.68, both P=0.498). In the healthy subjects, radioactive counts in 19 brain regions (12 422.78(11 181.60, 13 424.28)-18 166.40(15 882.80, 18 666.27); z values: from -3.24 to -2.06, all P<0.05) and SUVR in 40 brain regions (1.46(1.41, 1.52)-2.28(2.16, 2.36); z values: from -3.65 to -1.70, all P<0.05) were significantly different between the two scanners before harmonization, while after homogenization there were no statistical differences for all 116 brain regions (radioactivity counts: 9 243.55(8 502.38, 9 854.87)-20 419.60(19 931.51, 21 179.43); z values: from -0.72 to 0, all P>0.05; SUVR: 1.04(1.01, 1.09)-2.32(2.24, 2.40); z values: from -0.82 to 0, all P>0.05). SPM showed that significant differences of glucose metabolism in the cerebral cortex, basal ganglia, midbrain and cerebellum were found in healthy subjects between the two PET/CT scanners before homogenization, and brain regions with obvious differences reduced after homogenization. Conclusion:ComBat harmonization method is efficient at removing the center effect among different types of PET/CT scanners from the same manufacturer and may provide a simple and easy-to-implement homogenization for multicenter brain imaging studies.

Objective:To quantify the diagnostic index of probe-based confocal laser endomicroscopy (pCLE) for diagnosing Helicobacter pylori ( HP)-associated chronic atrophic gastritis (HpCAG), and to evaluate the efficacy of the quantified diagnostic index for HpCAG. Methods:The study was divided into two stages. The first stage prospectively included patients undergoing gastroscopy, endoscopic biopsy and 13C breath test from November 2021 to September 2022 at the Second Affiliated Hospital of Baotou Medical College. The capillary diameter (CD), cells spacing (CS), gland spacing (GS), and gland area (GA) in the pCLE field of offline video was measured with Image J. The diagnostic criteria of HpCAG by quantitative indicators under pCLE was established by analyzing the area under the receiver operating characteristic (ROC) curve (AUC). In the second stage, the cases with pCLE examination and 13C breath test at the Second Affiliated Hospital of Baotou Medical College from October 2021 to October 2022 were included. The cases that overlapped with the first stage were excluded. The trial was single-blind, with endoscopists and pathologists blind to each other's diagnoses. The diagnosis of pCLE was conducted according to the criteria obtained in the first stage, and the consistency between pCLE diagnosis and the results of histopathology and 13C breath test was analyzed. Results:The first stage enrolled 191 specimens from 35 patients. According to the pathological results of endoscopic biopsy and 13C breath test results, patients and gastric mucosa samples were divided into 4 groups, HP-positive CAG group ( n=59), HP-positive non-CAG group ( n=52), HP-negative CAG group ( n=40), and HP-negative non-CAG group ( n=40). ROC curve analysis results showed that in HP-positive patients, the optimal critical value of GS to distinguish between CAG and non-CAG gastric mucosa was 29.68 μm, and the AUC was the largest among the 4 parameters. In HP-negative patients, the optimal critical value of GS for distinguishing gastric mucosa from CAG and non-CAG was 23.57 μm, and the AUC was the largest among the 4 parameters. In patients with non-CAG, the optimal critical value for GS to distinguish HP-positive and HP-negative gastric mucosa was 20.57 μm, and the AUC was the largest among the 4 parameters. In patients with CAG, the optimal critical values of CD, CS, GS and GA to distinguish between HP-positive and HP-negative gastric mucosa were 13.23 μm, 1.38 μm, 34.03 μm and 6 066.5 μm 2, respectively, and the AUC were 0.608, 0.888, 0.849 and 0.900, respectively. Finally, GS was selected to distinguish between HpCAG and non-HpCAG gastric mucosa, and the optimal critical value was 31.71 μm. However, considering that it was difficult to measure the distance of 31.71 μm by the ruler below the image, the critical value was changed to 30 μm, so GS>30 μm was used as the diagnostic criteria for HpCAG in pCLE, and the diagnostic sensitivity and the specificity were 91.5% and 76.0%, respectively. In the second phase 224 specimens from 80 patients were observed. The sensitivity, the specificity, the positive predictive value, the negative predictive value and accuracy of pCLE (GS>30 μm) in the diagnosis of HpCAG were 96.5% (164/170), 88.9% (48/54), 96.5% (164/170), 88.9% (48/54) and 94.6% (212/224), respectively, with excellent diagnostic agreement with histopathology and 13C breath test (Kappa=0.854). Conclusion:The quantitative monitoring of gastric mucosal microstructure can be achieved under pCLE, and the quantifying indicators are helpful to improve the accuracy of HpCAG diagnosis.

Objective:To investigate the survival of cancer cases diagnosed during 2002-2013 in Shanghai. Methods:Data on new cancer cases with dead and follow-up information were obtained from the population-based cancer registry and vital statistics system of Shanghai Municipal Center for Disease Control and Prevention.Survival indicators stratified by year of diagnosis,gender,site and age were analyzed.Number of cases and proportion were calculated.The observed survival rates were calculated based on the life table.The probabilities of surviving from 0 to 99 years old were estimated according to the Elandt-Johnson model,and then the cumulative expected survival rates were calculated according to the Ederer Ⅱ method.Finally,the relative survival rates and average annual percent changes of their trends were calculated.The age-standardized relative survival rates adjusted by International Cancer Survival Standard weights were calculated. Results:Total 644 520 new cancer cases were diagnosed during 2002-2013 in Shanghai,accounting for 643 545(99.85％)cases included in the observed cohort for survival analysis.The 5-year observed survival rate increased from 37.61％to 46.47％.The 5-year relative survival rate increased from 42.1 8％to 51.11％.The 5-year age-standardized relative survival rate increased from 40.57％to 49.80％.Among the 5-year relative survival rates of cases diagnosed during 2011 to 2013,99.43％of thyroid cancer was the highest,followed by female breast cancer(88.35％)and corpus uteri cancer(85.56％);5.87％of pancreas cancer was the lowest,followed by gallbladder cancer(13.64％)and oesophagus cancer(17.72％).the rate of lung cancer with the largest number of cases was 23.59％,followed by colorectal cancer(59.82％)and stomach cancer(38.65％).The 5-year relative survival rate of total cases of all sites increased from 40.55％in 2002 to 52.77％in 2013,with an average annual percent change of 2.40％.13 cancer types showed increasing trends,such as liver cancer and lung cancer,while the trends of other cancer types were not statistically significant,such as pancreatic cancer and gallbladder cancer. Conclusion:The diagnostic levels and survival rates of cancer cases have been improved continuously in Shanghai.The trends of different cancer types were varied.

Objective:To investigate the incidence and mortality of ovarian,fallopian tube and other uterine adnexa cancer in 2016 and their trends during 2002 through 2016 in Shanghai. Methods:Data on new ovarian,fallopian tube and other uterine adnexa cancer diagnoses and deaths during 2002 through 2016 were obtained from the Shanghai Municipal Center for Disease Control and Prevention population-based cancer registry and Vital Statistics System.The incidence and mortality stratified by year of diagnosis or death,site and age-group were analyzed.The number,proportion,crude rate,age-specific rate,age-standardized rate and others were calculated.Trends in number,age-specific rate,age-standardized rate and others were estimated.Trends in age-standardized rate of incidence and mortality for the ovarian cancer were estimated by Joinpoint analysis and characterized by the annual percent change(APC).The number and proportion of selected indexes of diagnostic characteristics of new ovarian and fallopian tube cancer cases were also calculated.Segi's 1960 world standard population was used for calculating age-standardized rates. Results:The new uterine adnexa cancer cases and deaths were 813 and 440 in Shanghai in 2016.There were 751 cases(92.37％)and 419 deaths(95.23％)of ovarian cancer,and 48 cases(5.91％)and 17 deaths(3.86％)of fallopian tube cancer.The crude rate of ovarian cancer incidence was 10.29/105,and the age-standardized rate was 5.33/105.The crude rate of mortality was 5.74/105,and the age-standardized rate was 2.44/105.Overall,the age-specific rates of incidence and mortality increased with aging.They reached the peak at the age group of 55-59 years and 80-84 years,respectively.Joinpoint analyses showed a significant decreasing trend in the standardized incidence of ovarian cancer in Shanghai from 2002 to 2016,with an average annual increase of 1.78％(APC=-1.78,P＜0.001),while the increase in standardized mortality was not statistically significant.The proportion of pathological diagnosis on ovarian cancer increased to 85.02％,and the proportions of stageⅢ and Ⅳ continued to increase.The incidence of ovarian cancer in Shanghai from 2002 to 2016 showed a decreasing trend,while the mortality showed a fluctuating trend. Conclusion:In Shanghai,the age-standardized incidence rate of ovarian cancer was declined steadily,but the proportion of diagnosed advanced increased.The number of fallopian tube cancer cases increased steadily.

Objective:To describe the long-term characteristics and trend changes in the incidence and mortality of female breast cancer in Shanghai from 1 973 to 2017,aiming to provide references for exploring the etiology of breast cancer and formulating strategies and measures for prevention,intervention and control. Methods:Joinpoint software was used to analyze the trend changes in the incidence and mortality of female breast cancer in Shanghai from 1 973 to 2017,and an age-period-cohort model was constructed to explore the effects of age,year of diagnosis,and birth cohort on long-term trend changes. Results:From 1 973 to 2017,there were 68 192 new cases of female breast cancer in Shanghai,with a diagnosed rate of 31.72/100 000.The incidence rate continued to rise,and the risk of the disease continued to rise from the age of 20 years,and the rise rate accelerated significantly after the age of 40 years.There were 21 535 female breast cancer deaths from 1 973 to 2017.The mortality rate was stable,with a death rate of 8.62/100 000,and the risk of death increased significantly from the age of 45 years.The effects of age,period and cohort had a significant impact on the incidence of breast cancer(P＜0.01),while the increase in mortality rate was related to age and cohort effects(P＜0.01). Conclusion:The incidence rate of female breast cancer in Shanghai is still rising rapidly,and the mortality trend is generally stable,suggesting that the treatment is effective and the quality of life is improved.However,breast cancer is still the main malignant tumor among females in Shanghai.It should be continued to implement prevention and control strategies such as lifestyle intervention and screening of high-risk individuals to further strengthen the prevention and control of breast cancer.

The cultivation of medical students' humanistic care ability is one of the most important tasks of medical education. In this study, "Teddy Bear Simulation Hospital" was launched to cultivate humanistic care ability for pre-clinical medical students in the early stage. Firstly, pre-clinical students were organized to visit clinical functional zoning and diagnosis and treatment processes, listen to pediatrician lectures, and understand the diagnosis and treatment process of pediatric patients. Then, students were organized to build a simulated hospital for kids in the kindergarten with reference to the actual situation and carry out simulated diagnosis and treatment. In the process of implementation, students divide the labor, make the plan and take the action independently. After the simulation scenario was created, the kids played the role of parents of the sick children, and their favorite plush toy was pretended to be the sick baby; the medical students played the various roles of the medical staffs in the simulated hospital to carry out various diagnosis and treatment activities in an orderly manner. The results showed that the activity has provided a safe and friendly simulation diagnosis and treatment platform for pre-clinical students. In the interaction with children, the humanistic care ability of the students was significantly improved.