With the deepening reform of ideological and political education, Medical Parasitology teaching needs to update the teaching concept, change the teaching ideas, as well as keep trying to combine ideological and political education with the curriculum content closely. In addition to teaching students’ basic knowledge and practical skills, teachers are needed to cultivate their moral literacy and political awareness through course teaching, so as to provide the basis for students’ subsequent adaptations to social environments and jobs. Currently, the study of ideological and political education in Medical Parasitology teaching is still in the exploratory stage. Therefore, colleges and universities need to carry out effective construction of ideological and political education in Medical Parasitology teaching, in order to achieve good teaching outcomes and provide insights into ideological and political education in teaching.

Objective:To explore the prognostic value of MUC13 expression in gastric cancer(GC)patients and its impact on the biological behavior of GC cells.Methods:Comprehensive anal-ysis of the expression pattern of MUC genes in GC tissues based on the TCGA database to screen for differentially expressed genes.Spearman correlation analysis determined the correlation of ex-pression between MUC genes in GC tissues.Gene Ontology(GO)functional enrichment analysis and Kyoto Encyclopedia of Genes and Genomes pathway(KEGG)enrichment analysis were used to explore the potential biological functions of MUC genes.Univariate COX regression analysis was performed to explore the relationship between all differentially expressed MUC genes and the prog-nosis of GC patients to screen out MUC genes that were significantly related to the prognosis of GC.Clinical GC tissue samples were used to further verify the expression of MUC13 through im-munofluorescence,and its relationship with the clinicopathological characteristics and prognosis of GC was analyzed.siRNA was used to silence the expression of MUC13 in GC cells,and the effect of MUC13 on cell proliferation,migration and invasion was analyzed through CCK-8,colony forma-tion and Transwell experiments.Results:Among all MUC members,the expression levels of MUC1,MUC2,MUC3A,MUC4,MCU5B,MUC12,and MUC13 were significantly upregulated in GC tissues(P＜0.05).There are certain interactions between these MUC genes,and they are mainly en-riched in pathways related to digestive system processes,epithelial structure maintenance,apical plasma membrane,saliva secretion,etc.Importantly,upregulation of MUC13 in GC tissues indicates poor patient prognosis(Log-rank P＜0.05).In addition,MUC13 expression was significantly correlat-ed with the age(P＜0.001)of GC patients and tumor size(P=0.035).Further cell function experiments showed that after silencing MUC13,the proliferation ability of GC cells was significantly reduced(P＜0.05),while their migration and invasion abilities were not significantly affected(P＞0.05).Con-clusions:Highly expressed MUC13 is closely related to the poor prognosis of gastric cancer,par-ticipates in the regulation of tumor progression and is a potential therapeutic target and prognostic marker for gastric cancer.

Objective To investigate the value of multimodal MRI radiomics in predicting muscle-invasive bladder cancer.Methods A total of 178 patients with pathology diagnosis of bladder cancer were retrospectively collected,including 31 cases of muscle invasive bladder cancer(MIBC)and 147 cases of non-muscle invasive bladder cancer(NMIBC).Patients were randomly divided into training group and testing group at a ratio of 7︰3.The range of bladder tumors in T2WI,diffusion weighted imaging(DWI)and apparent diffusion coefficient(ADC)images were segmented as volume of interest(VOI)by using ITK-SNAP software.Radiomics features were extracted through A.K software.The optimal radiomics features were obtained through radiomics algorithm and least absolute shrinkage and selection operator(LASSO)method.Finally,the logistic regression analysis method and random forest model method were used to construct prediction models.The performance of prediction models was evaluated by the receiver operating characteristic(ROC)curve.Results This study constructed four groups of models containing T2WI prediction model,DWI prediction model,ADC prediction model,and T2WI+DWI+ADC prediction model.The area under the curve(AUC)of T2WI,DWI,and ADC prediction models for identifying MIBC and NMIBC were separately 0.920,0.914,and 0.954 in the training group while those were respectively 0.881,0.773,and 0.871 in the testing group.There was no statistical significance between T2WI,DWI,and ADC prediction models.In training and testing groups,the AUC of T2WI+DWI+ADC prediction model were respectively 0.959 and 0.909,which were higher than the single sequence prediction model.The sensitivity and specificity of the training group were 0.905 and 0.853 and the sensitivity and specificity of the testing group were 0.778 and 0.795.Conclusion MRI radiomics prediction model can effectively differentiate MIBC and NMIBC.The T2WI+DWI+ADC prediction model shows better prediction efficiency.

Purpose::Mannitol is one of the first-line drugs for reducing cerebral edema through increasing the extracellular osmotic pressure. However, long-term administration of mannitol in the treatment of cerebral edema triggers damage to neurons and astrocytes. Given that neural stem cell (NSC) is a subpopulation of main regenerative cells in the central nervous system after injury, the effect of mannitol on NSC is still elusive. The present study aims to elucidate the role of mannitol in NSC proliferation.Methods::C57 mice were derived from the animal house of Zunyi Medical University. A total of 15 pregnant mice were employed for the purpose of isolating NSCs in this investigation. Initially, mouse primary NSCs were isolated from the embryonic cortex of mice and subsequently identified through immunofluorescence staining. In order to investigate the impact of mannitol on NSC proliferation, both cell counting kit-8 assays and neurospheres formation assays were conducted. The in vitro effects of mannitol were examined at various doses and time points. In order to elucidate the role of Aquaporin 4 (AQP4) in the suppressive effect of mannitol on NSC proliferation, various assays including reverse transcription polymerase chain reaction, western blotting, and immunocytochemistry were conducted on control and mannitol-treated groups. Additionally, the phosphorylated p38 (p-p38) was examined to explore the potential mechanism underlying the inhibitory effect of mannitol on NSC proliferation. Finally, to further confirm the involvement of the p38 mitogen-activated protein kinase-dependent (MAPK) signaling pathway in the observed inhibition of NSC proliferation by mannitol, SB203580 was employed. All data were analyzed using SPSS 20.0 software (SPSS, Inc., Chicago, IL). The statistical analysis among multiple comparisons was performed using one-way analysis of variance (ANOVA), followed by Turkey's post hoc test in case of the data following a normal distribution using a Shapiro-Wilk normality test. Comparisons between 2 groups were determined using Student's t-test, if the data exhibited a normal distribution using a Shapiro-Wilk normality test. Meanwhile, data were shown as median and interquartile range and analyzed using the Mann-Whitney U test, if the data failed the normality test. A p < 0.05 was considered as significant difference. Results::Primary NSC were isolated from the mice, and the characteristics were identified using immunostaining analysis. Thereafter, the results indicated that mannitol held the capability of inhibiting NSC proliferation in a dose-dependent and time-dependent manner using cell counting kit-8, neurospheres formation, and immunostaining of Nestin and Ki67 assays. During the process of mannitol suppressing NSC proliferation, the expression of AQP4 mRNA and protein was downregulated, while the gene expression of p-p38 was elevated by reverse transcription polymerase chain reaction, immunostaining, and western blotting assays. Subsequently, the administration of SB203580, one of the p38 MAPK signaling pathway inhibitors, partially abrogated this inhibitory effect resulting from mannitol, supporting the fact that the p38 MAPK signaling pathway participated in curbing NSC proliferation induced by mannitol.Conclusions::Mannitol inhibits NSC proliferation through downregulating AQP4, while upregulating the expression of p-p38 MAPK.

Nowadays,with the continuous deepening and development of vocational education teaching reform,medical higher vocational education always takes moral education as the fundamental task.As an independent type of education,vocational education should always deepen the integration of industry and education and the integration of science and education.Through the teaching research of"problem chain+course ideological and political case",this study innovates the coordinated education team of drug nursing curriculum,the collaborative education method and the collaborative education evaluation,and improves the teaching effect.

Objective To investigate the effect of Ophiopogonin D on lipopolysaccharide(LPS)-induced apoptosis of alveolar epithelial cells by regulating the interleukin-6(IL-6)/Janus kinase 2(JAK2)/signal transducer and activator of transcription 3(STAT3)signaling pathway.Methods A549 AT Ⅱ cells cultured in vitro were randomly divided into four groups:control group,LPS group,LPS+Ophiopogonin D group,LPS+Ophiopogonin D+colivelin(JAK2/STAT3 signal activator)group,except for the control group,and cells in all other groups were established injury models while being grouped with Ophiopogonin D and colivelin for treatment.Cell counting kit-8(CCK-8)experiment and flow cytometry were applied to detect cell proliferation and apoptosis in each group;Western blotting was applied to detect the expression of IL-6/JAK2/STAT3 signaling pathway proteins of cells in each group.Results The apoptosis rates of A549 cells in control group,LPS group,LPS+Ophiopogonin D group and LPS+Ophiopogonin D+colivelin group were(2.52±0.73)％,(52.43±4.14)％,(1.67±0.52)％and(47.94±3.43)％;IL-6 protein levels were 0.14±0.03,0.49±0.05,0.17±0.04 and 0.45±0.06,and p-JAK2/JAK2 protein levels were 0.17±0.04,0.64±0.08,0.19±0.06 and 0.61±0.07;p-STAT3/STAT3 protein levels were 0.20±0.06,0.69±0.10,0.22±0.07 and 0.65±0.09;the apoptosis rates of AT Ⅱ cells were(3.01±0.69)％,(55.16±3.94)％,(2.35±0.71)％and(50.28±3.78)％;the levels of IL-6 protein were 0.11±0.03,0.87±0.13,0.19±0.04 and 0.84±0.12;the p-JAK2/JAK2 protein levels were 0.13±0.04,0.56±0.08,0.15±0.03 and 0.53±0.07;p-STAT3/STAT3 protein levels were 0.30±0.08,0.79±0.14,0.33±0.09 and 0.75±0.13.The above indexes:control group,LPS+Ophiopogonin D group compared with LPS group,LPS+Ophiopogonin D+colivelin group compared with LPS+Ophiopogonin D group,the differences were statistically significant(all P＜0.05).Conclusion Ophiopogonin D can reduce LPS induced inflammation and oxidative stress levels by inhibiting the activation of IL-6/JAK2/STAT3 signaling pathway,ultimately reducing LPS-induced apoptosis of alveolar epithelial cells.

Objective To investigate the relationship between single nucleotide polymorphisms(SNPs)in the eNOS gene and genetic susceptibility to systemic lupus erythematosus(SLE)in Hainan.Methods Blood samples were collected from SLE patients(SLE group,n=214)and healthy controls(control group,n=214)from January 2020 to December 2022 at the First Affiliated Hospital of Hainan Medical College and Hainan Provincial People's Hospital.The bases of eNOS gene rs3918188,rs1799983 and rs1007311 loci in each group were detected by SNaPshot sequencing technology.Logistic regression was used to analyze the correlation between genotypes,alleles and gene models(dominant model,recessive model,and overdominant model)of the above 3 target loci of the eNOS gene and genetic susceptibility to SLE.Haplotype analysis was conducted using HaploView 4.2 software to investigate the relationship between haploid and genetic susceptibility to SLE at each site.Results The results of logistic regression analysis revealed that the CC genotype and the C allele at rs3918188 locus were risk factors for genetic susceptibility to SLE(CC vs.AA:OR=2.449,P<0.05;C vs.A:OR=2.133,P<0.001).In recessive model at rs3918188 locus,CC genotype carriers had an increased risk of SLE development compared with AA+AC genotype carriers(OR=2.774,P<0.001).In contrast,in overdominant model at this locus,AC genotype carriers had a decreased risk of SLE occurrence compared with AA+CC genotype carriers(OR=0.385,P<0.001).In addition,polymorphisms of rs1799983 and rs1007311 were not associated with susceptibility to SLE in genotype,allele type and the 3 genetic models(P>0.05).Haplotype analysis revealed a strong linkage disequilibrium between the rs1007311 and rs1799983 loci of the eNOS gene,but no significant correlation was found between haplotype and genetic susceptibility to SLE(P>0.05).Conclusion The CC genotype and C allele at rs3918188 locus of eNOS gene may be risk factors for SLE in Hainan,while the risk of SLE occurrence is reduced in carriers of AC genotype under the overdominant model.

Objective To investigate the effect of chemokine CXC ligand 9(CXCL9)on cognitive function impairment in patients with breast cancer brain metastases undergoing whole-brain radiotherapy(WBRT)using bioinformatics methods.Methods The mRNA of breast cancer brain metastases datasets GSE43837 and GSE12276 and Alzheimer's disease(AD)dataset GSE161199 were screened and downloaded from GEO database.Limma method and Venn diagrams were used to identify common differentially expressed genes(DEGs),and protein-protein interaction and functional prediction through GeneMANIA website assays were performed.A total of 42 patients with breast cancer brain metastases who first visited the Department of Radiotherapy at the First Affiliated Hospital of Hebei North University from January 2021 to January 2023 were selected.Patients were divided into normal cognitive function group and cognitive function impairment group based on cognitive status.Enzyme-linked immunosorbent assay(ELISA)was employed to detect serum CXCL9 levels one week before and three months after radiotherapy.The mini-mental state examination(MMSE)was used to assess patients'cognitive function.Results The DEGs from datasets GSE43837 and GSE12276 included PKP1,POLDIP2,SPAG5,ALDOC,PTPRZ1,PKIA,TLCD1,CPE,PMP22 and CXCL9.The DEGs from GSE161199 included RPS16,CD79A,LYPD3,RPL28,HBG2,RPL23AP7,TRNR,CXCL9.Venn diagram showed that CXCL9 was a common DEG between breast cancer brain metastasis and AD.Functional enrichment analysis indicated that CXCL9 was involved in cellular responses to chemokines,negative regulation of immune system processes,negative regulation of vascular morphogenesis,Toll-like receptor signaling pathway,nucleotide oligomerization domain(NOD)-like receptor signaling pathway,and JAK-STAT signaling pathway.Before radiotherapy,patients with cognitive function impairment and normal cognitive function accounted for 61.9%and 38.1%,respectively,with a statistically significant difference in MMSE scores[(24.53±2.19)vs.(28.89±1.36),P＜0.01].Compared with normal cognitive function group,patients with cognitive function impairment had a significantly increased number of brain metastases and significantly lower Karnofsky performance status(KPS)scores and serum CXCL9 levels(P＜0.05).Three months after radiotherapy,patients with cognitive function impairment and normal cognitive function accounted for 47.6%and 52.4%,respectively,with a statistically significant difference in MMSE scores[(25.16±1.98)vs.(28.18±1.08),P＜0.01].Compared with normal cognitive function group,patients with cognitive function impairment had significantly lower CXCL9 levels(P=0.003).In patients with normal cognitive function,CXCL9 levels were remarkably lower after radiotherapy compared to those before radiotherapy(P=0.009).Conclusions Patients with cognitive function impairment had significantly lower CXCL9 levels than those with normal cognitive function,and whole-brain radiotherapy may be related to a certain degree of reduction in CXCL9 levels.

Objective To explore the comparative study of constructing prediction models for muscle invasive of bladder cancer based on different machine learning algorithms combined with MRI radiomic.Methods A total of 187 bladder cancer patients who underwent MRI examination and were confirmed by pathology were retrospectively selected.Patients were randomly divided into a training set and a test set in a 7∶3 ratio.The patients were divided into muscle invasive bladder cancer(MIBC)group and non-muscle invasive bladder cancer(NMIBC)group according to the surgical pathology results.Tumor volume of interest(VOI)was outlined on the images of T2 WI,diffusion weighted imaging(DWI),and apparent diffusion coefficient(ADC),and the radiomic features were extracted by A.K software,and dimensionality reduction was performed using the maximum relevance minimum redundancy(mRMR)algorithm combined with least absolute shrinkage and selection operator(LASSO).Six machine learning algorithms,including K-nearest neighbor(KNN),decision tree(DT),support vector machine(SVM),logistic regression(LR),random forest(RF),and explainable boosting machine(EBM)were used to construct the radiomic model and calculate the corresponding area under the curve(AUC),accuracy,sensitivity,and specificity,respectively.Results Six machine learning algorithms,including KNN,DT,SVM,LR,RF,and EBM were used to construct the radiomic model,and the AUC values for predicting MIBC in the training set were 0.863,0.838,0.853,0.866,0.977,0.997,and in the test set were 0.748,0.833,0.860,0.868,0.870,0.900.Among them,the MRI radiomic model constructed based on EBM had the highest predictive efficacy for MIBC,with AUC values,accuracy,sensitivity and specificity of 0.997,0.977,0.957 and 0.981 in the training set,and 0.900,0.877,0.800,and 0.894 in the test set,respectively.Conclusion Multiple machine learning algorithms combined with MRI radiomic to construct models have good predictive efficacy for MIBC,and the model constructed based on EBM shows the highest predictive value.

Objective:To investigate the status of evidence-based nursing competence among clinical nurses in tertiary grade A hospitals of Anhui province, and analyze the influencing factors based on random forest model, so as to provide reference for improving the evidence-based nursing ability of clinical nurses and formulating intervention strategies.Methods:The convenience sampling method was used to select 543 clinical nurses from 4 tertiary grade A hospitals in Anhui Province from October to December 2022. The general data questionnaire, Evidence-based Nursing Competence Scale, Information Literacy Scale, and Nurse Innovation Ability Scale were used to investigate. The random forest model was used to evaluate the importance of the influencing factors. The Lasso regression analysis was used to complete the screening of the influencing factors. The influencing factors of the evidence-based nursing competence among clinical nurses were explored by multiple linear regression analysis.Results:A total of 543 valid questionnaires were retrieved. Among 543 clinical nurses, 55 males and 388 females, aged (32.34 ± 6.93) years old. Evidence-based nursing competence scored (45.49 ± 21.18) points, information literacy scored (73.50 ± 10.47) points, innovation ability scored (126.78 ± 21.99) points. The random forest model and Lasso regression analysis showed that the model achieved the best fit with 8 variables. In order of importance, the top 8 variables were information literacy (25.78%), innovation ability (22.37%), night shift per month (9.91%), educational background (9.19%), English proficiency (8.44%), professional title (6.71%), scientific research and innovation experience (5.17%), and professional attitude (4.50%). Multiple linear regression analysis showed that information literacy, innovation ability, and English proficiency were the influencing factors of evidence-based nursing competence among clinical nurses ( t=9.17, 7.31, 2.52, all P<0.05). Conclusions:The level of evidence-based nursing ability among clinical nurses in tertiary grade A hospitals of Anhui province needs to be improved. From the perspective of improving the information literacy among clinical nurses, nursing managers can increase the training of information retrieval ability and English ability, enhance their English literature reading skills, pay attention to the cultivation of nurses' innovation ability, stimulate the innovative consciousness and thinking among clinical nurses, formulate and implement targeted interventions, so as to gradually improve the level of evidence-based nursing ability among clinical nurses.