Objective:To investigate the effect of Norcantharidin(NCTD)on the apoptosis of human ovarian cancer SKOV3 cells and its mechanism.Methods:Human ovarian cancer SKOV3 cells were cultured in vitro and treated with 52 μmol/L NCTD.The SKOV3 cells were divided into the control group and NCTD group(52 μmol/L).The morphological changes of SKOV3 cells were observed under an inverted microscope,and the changes of nucleus were observed under a fluorescence microscope.The changes of mitochondrial membrane potential were detected by flow cytometry after drug treatment for 24 h.Western blot was used to detect the expression levels of apoptosis-related proteins Bax,Bcl-2 and Wnt/β-catenin signaling pathway-related protein β-catenin in SKOV3 cells after drug treatment for 24 h.Result:Compared with that in the control group,NCTD inhibited the proliferation of SKOV3 cells,reduced mitochondrial membrane potential,induced apoptosis of SKOV3 cells,increased the expression of Bax protein,decreased the expression of Bcl-2 protein and β-catenin.Conclusion:NCTD-induced apoptosis of ovarian cancer SKOV3 cells may be related to the regulation of Wnt/β-catenin signaling pathway.

italic>Platycodon grandiflorum (Jacq.) A. DC is one of the most commonly used bulk medicinal herbs. It has important value in the fields of medicine, food and cosmetics, and its market demand is increasing year by year, and it has a good development prospect. In this study, based on 403 distribution records and 8 environmental variables, we used Maxent model to predict the potential distribution of P. grandiflorum under climate change. The results showed that the model simulation effect was the best when the Maxent parameter was FC (feature combination) = LQPH (L: linear features; Q: quadratic features; P: product features; H: hinge features) and RM (regularization multiplier) = 2.1, AUC (area under curve) = 0.901, and the model prediction showed that P. grandiflorum was widely distributed in 28 provinces of China under the current climate conditions, with a suitable area of 2 337 419.98 km². Under the influence of climate change in the future, the area of suitable habitat of P. grandiflorum showed a decreasing trend, and the distribution center as a whole showed a trend of northward and eastward shift. The distribution area of P. grandiflorum in the three main producing areas is affected by climate change, and the overall trend is that the future suitable distribution area of Chifeng in Inner Mongolia increases, while the future suitable distribution area of Zibo in Shandong and Taihe, Bozhou in Anhui decreases or even disappears under the SSP5-8.5 scenario (shared socioeconomic pathways). It is suggested to maintain and protect the ecological environment and germplasm resources of the reserved area suitable for the growth of P. grandiflorum, and increase the cultivation research in the expansion area of P. grandiflorum, so as to lay a foundation for the subsequent expansion of P. grandiflorum planting and to promote the protection and sustainable development of P. grandiflorum resources.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Objective:To establish a machine learning model for the diagnosis of clinically significant prostate cancer based on transrectal contrast-enhanced ultrasound parameters and clinically relevant data.Methods:A retrospective analysis was performed on 151 patients in Chongqing University Cancer Hospital who underwent transrectal contrast-enhanced ultrasonography and transrectal ultrasound-guided needle biopsy from November 2018 to September 2021. The time intensity curve was drawn using VueBox software and 12 parameters such as rise time, peak time, average transit time, peak intensity, and rising slope were quantitatively analyzed. Age, total prostate-specific antigen, free prostate-specific antigen, free prostate-specific antigen ratio, volume, prostate-specific antigen density, and transrectal contrast-enhanced ultrasonography parameters, a total of 18 characteristic parameters, were analyzed and screened through relevant attribute values and information gain attribute values. The screening features were trained and tested by the machine learning single algorithm and integrated algorithm, and then the model was evaluated by the F1 value and the area under the ROC curve(AUC).Results:Using the related attribute value and the information gain attribute value, 12 variables and 5 variables were screened out respectively to establish a machine learning model. The model established by the ensemble algorithm was better than the single algorithm. For the two variable selection methods, the AUC (0.810 vs 0.789) and F1 values (0.748 vs 0.742) of the Bagging ensemble algorithm model, which basic algorithm was decision tree, were the highest, followed by Logistic regression and support vector machine(SVM) in order of AUC and F1 values.Conclusions:Based on transrectal contrast-enhanced ultrasound parameters and clinical data, the Bagging ensemble model based on decision tree has the best performance in diagnosing clinically significant prostate cancer.

Objective To investigate the Gram-positive coccus resistance in nationwide's tertiary hospitals and understand the trend of antimicrobial resistance.Methods All the clinical isolates were collected from 19 hospitals and the minimal inhibitory concentrations(MICs)were tested using agar/broth dilution method recommended.Results A total of 1 974 pathogenic Gram-positive coccus from 19 tertiary hospitals in 19 cities nationwide over the period from July 2021 to June 2022 were studied.Based on the MIC results,the prevalence of methicillin resistant Stapylococcus aureus(MRSA)and methicillin resistant Stapylococcus epidermidis(MRSE)were 36.4％and 79.9％respectively.No vancomycin insensitivity Staphylococcus was detected.Staphylococcus aureus were 100％susceptibility to linezolid and teicoplanin.Antibiotic resistance rate of Enterococcus faecalis and Enterococcus faecium to ampicillin were 3.1％and 92.9％.The detectation rate of vancomycin resistant Enterococcus(VRE)was 1.6％.Nonsusceptibility rate of Enterococcus faecalis to linezolid was 32.2％,two consecutive monitoring rises and nonsusceptibility rate of Enterococcus faecium(12.5％)was also significantly increased.The prevalence of penicillin non-susceptible Streptococcus pneumoniae(PNSSP)was 0.8％based on non-meningitis and parenteral administration criterion,decrease of nearly 30 percentage points from the previous surveillance.While for cases of oral penicillin,the rate was 71.8％,showing similar to last time.The results indicated that the number of strains with higher MIC value of penicillin(MIC ≥4 mg·L-1)decreased significantly.There were no significant differences of resistance rates of Stapylococcus aureus,Stapylococcus epidermidis,Enterococcus faecalis,Enterococcus faecium and Streptococcus pneumoniae among various groups such as different department,age,or specimen source.Conclusion VRE detection ratio stablized at a relatively low level.The number of Streptococcus pneumoniae with higher MIC value of penicillin decreased significantly compared with the previous monitoring.The increase of linezolidin-insensitive Enterococcus was noteworthy.

Objective To investigate the Gram-negative bacteria resistance in nationwide's tertiary hospitals and understand the trend of antimicrobial resistance.Method All the clinical isolates were collected from 19 hospitals and the minimal inhibitory concentrations(MICs)were tested using agar/broth dilution method recommended.Results A total of 4 066 pathogenic isolates from 19 tertiary hospitals in 19 cities nationwide over the period from July 2021 to June 2022 were studied.Based on the MIC results,Escherichia coli and Klebsiella pneumoniae showed extended spectrum β-lactamase(ESBLs)phenotype rates of 55.0％and 21.0％,respectively,ESBLs phenotype rate of Klebsiella pneumoniae keep going down.The ratios of carbapenems resistance Klebsiella pneumoniae increased by 5 percentage points compared with the previous monitoring.Carbapenems,moxalactam,sitafloxacin,β-lactam combination agents,fosfomycin trometamol,and amikacin displayed desirable antibacterial activity against Enterbacterales,susceptibal rates were above 75％.In addition,tigacycline,omacycline,colistin and fluoxefin maintained good antibacterial activity against their respective effective bacteria/species,and the bacterial sensitivity rates by more than 80％.Resistance rates of Pseudomonas aeruginosa and Acinetobacter baumannnii to imipenem were 26.3％and 72.1％and multidrug-resistant(MDR)detection rates were 41.1％and 77.3％,extensively drug-resistant(XDR)were 12.0％and 71.8％,respectively.Comparison of drug resistance rates from different wards,ages and specimen sources indicated that the proportion of resistance in Klebsiella pneumoniae and Acinetobacter baumannii isolated from intensive care unit(ICU)were significantly higher than non-ICU.Carbapenem resistance rates of Klebsiella pneumoniae isolated from ICU were more than 35％.Resistance rates of Haemophilus influenzae isolated in children to β-lactam,macrolide,clindamycin and ESBLs detection rate in Klebsiella pneumoniae isolated from children were more than those from adults and the old people,so bacterial resistance in children is an important problem in China.Conclusion ESBLs detection rate of Escherichia coli increased slightly after years of continuous decline.The proportion of carbapenem resistant Pseudomonas aeruginosa was stable,but the resistance rate of Klebsiella pneumoniae and Acinetobacter baumannii to carbapenems was still increased,which should be paid more attention.

As a single-center retrospective study, we analyzed the results of rotavirus and human adenovirus antigens in stool samples with colloidal gold immunochromatography method in children with acute gastroenteritis under the age of five who were treated in our hospital from 2019 to 2022. After excluding nonconforming cases and duplicate cases, 2 896 cases were included, of which 559 cases were detected with at least one viral antigen. According to the test results, they were divided into RV positive group, HAdV positive group and RV & HAdV double positive group. The gender, age, seasonal distribution, clinical symptoms and related laboratory tests were compared and analyzed with χ² test, analysis of variance and nonparametric test. Among the single samples from 2 896 children, the positive rate of RV antigen was 6.21% (180/2 896), the positive rate of HAdV antigen was 10.91% (316/2 896), and the double positive rate of RV & HAdV was 2.18% (63/2 896). The positive rate of HAdV antigen in 2021 was 16.11%, a significant increase compared with 6.20% in 2020. RV infection has obvious seasonality, and spring and winter are the seasons with high incidence of infection (χ²=74.018, P<0.001), while HAdV infection has no obvious seasonality (χ²=2.110, P=0.550), showing sporadic infection throughout the year. The proportions of fever and vomiting symptoms in children with RV infection were significantly higher than those in the HAdV infection group (χ²=40.401, P<0.001; χ²=32.593, P<0.001), but the positive rate of white blood cells in the stool was significantly lower than that in the HAdV infection group (χ²=13.741,P<0.01). In summary, paying attention to the epidemiological changes of RV and HAdV is of great significance for clinical diagnosis and treatment and disease prevention and control.
Child ; Humans ; Infant ; Rotavirus ; Retrospective Studies ; Gastroenteritis/epidemiology* ; Hospitals ; Feces ; Adenoviruses, Human ; Adenovirus Infections, Human/epidemiology*

Objective: To analyze and compare therapy responses, outcomes, and incidence of severe hematologic adverse events of flumatinib and imatinib in patients newly diagnosed with chronic phase chronic myeloid leukemia (CML) . Methods: Data of patients with chronic phase CML diagnosed between January 2006 and November 2022 from 76 centers, aged ≥18 years, and received initial flumatinib or imatinib therapy within 6 months after diagnosis in China were retrospectively interrogated. Propensity score matching (PSM) analysis was performed to reduce the bias of the initial TKI selection, and the therapy responses and outcomes of patients receiving initial flumatinib or imatinib therapy were compared. Results: A total of 4 833 adult patients with CML receiving initial imatinib (n=4 380) or flumatinib (n=453) therapy were included in the study. In the imatinib cohort, the median follow-up time was 54 [interquartile range (IQR), 31-85] months, and the 7-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.2%, 88.4%, 78.3%, and 63.0%, respectively. The 7-year FFS, PFS, and OS rates were 71.8%, 93.0%, and 96.9%, respectively. With the median follow-up of 18 (IQR, 13-25) months in the flumatinib cohort, the 2-year cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) were 95.4%, 86.5%, 58.4%, and 46.6%, respectively. The 2-year FFS, PFS, and OS rates were 80.1%, 95.0%, and 99.5%, respectively. The PSM analysis indicated that patients receiving initial flumatinib therapy had significantly higher cumulative incidences of CCyR, MMR, MR(4), and MR(4.5) and higher probabilities of FFS than those receiving the initial imatinib therapy (all P<0.001), whereas the PFS (P=0.230) and OS (P=0.268) were comparable between the two cohorts. The incidence of severe hematologic adverse events (grade≥Ⅲ) was comparable in the two cohorts. Conclusion: Patients receiving initial flumatinib therapy had higher cumulative incidences of therapy responses and higher probability of FFS than those receiving initial imatinib therapy, whereas the incidence of severe hematologic adverse events was comparable between the two cohorts.
Adult ; Humans ; Adolescent ; Imatinib Mesylate/adverse effects* ; Incidence ; Antineoplastic Agents/adverse effects* ; Retrospective Studies ; Pyrimidines/adverse effects* ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/drug therapy* ; Treatment Outcome ; Benzamides/adverse effects* ; Leukemia, Myeloid, Chronic-Phase/drug therapy* ; Aminopyridines/therapeutic use* ; Protein Kinase Inhibitors/therapeutic use*

Aim To elucidate the molecular mechanism of Sophora tonkinensis Gagnep in improving acute pharyngitis based on network pharmacology, animal experiments and quantitative real-time PCR.Methods The active components and targets of Sophora tonkinensis Gagnep were collected from the database of traditional Chinese medicinal systems databases and analysis platform(TCMSP). Targets related to acute pharyngitis were acquired through GeneCards, OMIM, DrugBank and Disgenet databases. After the common targets of the two were screened, the STRING database was used to construct the protein interaction network, and the Metascape platform was used for pathway analysis. At the same time, Cytoscape software was used to construct a network of "herbal-disease-component-target" and "herbal-disease-component-target-pathway" network. The acute pharyngitis models in rats were established to study the effect of water extract of Sophora tonkinensis Gagnep on acute pharyngitis in rats. Quantitative real-time PCR technology was used to study the effect of Sophora tonkinensis Gagnep on key gene targets in key pathways of pharyngeal tissues in rats with acute pharyngitis. Results In this experiment, 509 related targets of 21 active components of Sophora tonkinensis Gagnep were obtained, 2 167 related targets of acute pharyngitis were obtained, and 194 common targets of Sophora tonkinensis Gagnep and acute pharyngitis were obtained. KEGG pathway analysis screened 344 related signaling pathways, indicating that IL-17 signaling pathway, NF-kappa B signaling pathway and leukocyte transendothelial migration pathway might play a key role in the improvement of acute pharyngitis by Sophorae tonkinensis Gagnep. Animal experiments showed that the low dose group of Sophora tonkinensis Gagnep water extract had better therapeutic effect on acute pharyngitis. The results of quantitative real-time PCR showed that the low-dose group of Sophora tonkinensis Gagnep significantly down-regulated the expression levels of ITGB2, PIK3CA, PIK3CD and PTPN11 genes in leukocyte transendothelial migration pathway(P<0.05). Conclusions The above results show that Sophora tonkinensis Gagnep has the characteristics of multi-component, multi-target and multi-pathway synergy in improving acute pharyngitis, which provides a theoretical basis for further study on the complex mechanism of Sophora tonkinensis Gagnep in improving acute pharyngitis.