The new synergistic education model integrating the “five arts” medical talent cultivation philosophy and the red doctor spirit could form a virtuous cycle of “spiritual guidance-technological breakthrough-spiritual reshaping” in the field of military medical education. Addressing the existing challenges in the process of military medical cadets’ training， such as mission awareness， humanistic care， battlefield rescue， and emergency response， this study proposed integrating the red doctor spirit， characterized by political steadfastness， healing the wounded and rescuing the dying， selfless devotion， relentless pursuit of excellence， and seeking truth and innovation， into the training system under the guidance of the “five arts” philosophy， including establishing a foundation through Daoist arts， forging the soul with benevolence， empowering through academia， tempering through technology， and nurturing the mind through artistry. A cultivation model was constructed featuring “moral education as the priority and cultivating through soul-forging； military spirit as the root and medical professionalism as the foundation and training for warfare； mastery in medicine for battlefield success and cultivating talent through rigorous scholarship.” Furthermore， through pathways including the optimization and implementation of the curriculum system， the enhancement and innovation of practical teaching， the development and training of the faculty team， and the improvement and innovation of the evaluation system， this model assisted in achieve the goal of cultivating compound talents with “the red medicine essence plus the five arts foundation.” These talents also built their foundation on the “five arts” philosophy， forge their spirit with the red doctor spirit， and was tempered with battlefield adaptability.

BackgroundIn recent years， the incidence of depression among adolescents has been increasing steadily， posing a serious threat to their physical and mental health and even leading to severe consequences such as self-harm and suicide. At the same time， the detection rate of subclinical depression symptoms among adolescents is even higher. Although these symptoms do not meet the clinical diagnostic criteria， they have significantly affected their quality of life， and their persistence over time may further develop into depression. Therefore， in-depth exploration of adolescent depression symptoms and the predictive factors holds significant practical significance and research value. However， up to now， no large-scale investigation and research on depression symptoms among children and adolescents has been conducted in Inner Mongolia Autonomous Region. ObjectiveTo understand the prevalence of depressive symptoms among children and adolescents in Inner Mongolia Autonomous Region， in order to provide references for formulating scientific and effective prevention strategies and intervention measures. MethodsBy using the cluster stratified random sampling method， 6 281 students from the third grade of primary school to the second grade of high school in 12 leagues and cities of Inner Mongolia Autonomous Region were selected in March 2024. A self-designed questionnaire and the Self-rating Depression Scale （SDS） were used for on-site investigation. ResultsA total of 6 058 （96.45%） children and adolescents completed the valid questionnaire survey， and 2 728 cases （45.03%） were found to have depressive symptoms. There were statistically significant differences in the detection rates of depressive symptoms among children and adolescents of different genders， ages， whether they were only children， different family types， family monthly income， parents' educational levels， and whether the mother was employed （χ²=33.769， 40.618， 48.593， 29.972， 142.648， 195.999， 168.190， 5.445， P<0.05 or 0.01）.The results of the Logistic regression analysis showed that for children and adolescents， being female， aged between 12 and 16， over 16 years old， not being an only child， living in a reconstituted family， having a monthly family income of less than 5 000 yuan， and having parents with an education level of primary school or below were predictors of depressive symptoms （OR=1.241， 1.427， 1.273， 1.177， 1.549， 1.278， 1.462， 1.417， 1.514， 1.929， 1.660， 1.528， P<0.05 or 0.01）. ConclusionThe detection rate of depressive symptoms among children and adolescents in Inner Mongolia Autonomous Region is relatively high. Factors that may predict depressive symptoms in children and adolescents include female gender， ages between 12 and 16， ages over 16 years old， non-only children， families with a restructured structure， monthly family income of less than 5 000 yuan， and parents with an education level of primary school or below. ［Funded by Science and Technology Planning Project of the Inner Mongolia Autonomous Region （number， 2022YFSH0119）］

OBJECTIVES: To explore the association of the expression of WW domain-containing ubiquitin E3 ligase 1 (WWP1) with immune infiltration in tumor microenvironment (TME) of ovarian cancer. METHODS: Ovarian cancer patient data from The Cancer Genome Atlas (TCGA) were used to analyze the association of WWP1 expression with patient prognosis. TISCH2 was utilized to analyze the changes in immune cell subtypes in TME of metastatic tumor and after chemotherapy. The impact of WWP1 on immune cell infiltration, somatic copy number alterations of WWP1 and evolution of immune cell subtypes was evaluated using TIMER and TIGER pseudo-time analysis. A deep learning model was used to analyze TCGA pathological images to investigate the effect of WWP1 on TME of ovarian cancer. RNA-seq analysis was conducted to identify the differentially expressed genes in WWP1-overexpressing SKOV3 cells and validate immune infiltration. Multicolor immunofluorescence assay was used to analyze the immune markers in SKOV3 and SKOV3/DDP cell xenografts in nude mice. RESULTS: The patients with high WWP1 expression levels had significantly lower overall survival rate (P=0.0012). High WWP1 expression levels and Stage IV disease were both associated with a poor prognosis (P<0.05). In metastatic ovarian cancer or after chemotherapy, the percentages of malignant tumor cells and tumor-associated fibroblasts increased in the TME, accompanied by elevated WWP1 levels. WWP1 expression level was positively correlated with pro-tumorigenic immunosuppressive cells (r=0.1323-0.3955, P<0.05) and negatively with tumor-inhibiting immune cells (r=-0.1949- -0.1333, P<0.05). Specific copy number alterations of WWP1 also influenced CD8⁺ T cell percentage and neutrophil infiltration levels in the TME. RNA-seq analysis of WWP1-overexpressing SKOV3 cells and immunofluorescence assay of the tumor-bearing mice yielded findings consistent with those of bioinformatics analysis. CONCLUSIONS WWP1 may serve as a prognostic biomarker and a potential target for immune regulation in the TME of ovarian cancer.
Female ; Ovarian Neoplasms/genetics* ; Humans ; Ubiquitin-Protein Ligases/metabolism* ; Tumor Microenvironment/immunology* ; Animals ; Mice ; Cell Line, Tumor ; Mice, Nude ; Prognosis ; Gene Expression Regulation, Neoplastic

Objective To investigate the correlation between skeletal muscle mass index(ASMI)and islet β cell reserve function in patients with newly diagnosed type 2 diabetes mellitus(T2DM).Methods A total of 100 patients with newly diagnosed T2DM were included in this study.All the patients were admitted to the Department of Endocrinology in the First People's Hospital of Yinchuan between June 2022 and November 2023.They were divided into two groups according to their skeletal muscle mass index(ASMI):patients with T2DM accompanied by sarcopenia(Sar,n=50)group,and patients with simple T2DM(T2DM,n=50)group.Additionally,a control(NC)group consisting of 50 healthy participants was selected.Fasting C-peptide levels,liver and kidney function,blood lipid profiles,and other indicators were assessed in all the individuals.The correlation between ASMI and other indicators was analyzed,and the influencing factors for ASMI and T2DM combined with sarcopenia were analyzed respectively.Results The levels of HbA1c,FPG,and TG were higher,while FC-P and Scr levels were lower in the T2DM group and Sar group compared with the NC group(P<0.05).FPG was higher,while ASMI,FC-P,BMI were lower in the Sar group than in the T2DM group(P<0.05).Spearman correlation analysis revealed a negative correlation between ASMI and FPG and HbA1c(P<0.05),whereas a positive correlation was observed with BMI,ALT,Scr,SUA and FC-P(P<0.05).Multiple linear regression analysis indicated that BMI,HbA1c and FC-P were influencing factors for ASMI(P<0.05).Furthermore,logistic regression analysis demonstrated that BMI,HbA1c,FC-P were influencing factors for T2DM with sarcopenia(P<0.05).Conclusions The level of ASMI may be related to the reserve function of islet β cells.

Recent studies have shown that the physiological homeostasis of oral mucosal cells is regulated by the circadian clock.Dis-ruption or dysfunction of the circadian clock is closely associated with the development of oral squamous cell carcinoma(OSCC).Research based on the circadian clock offers a novel perspective on the pathogenesis and therapeutic strategies for OSCC.However,there is current-ly limited research on this topic,and people generally have insufficient understanding and recognition of the circadian clock.Given the complexity and challenges of circadian clock which is the fourth dimension of medical research,we organize relevant experts based on summarizing the current research results of circadian clock in the pathogenesis and precision diagnosis and treatment of OSCC,combining the scientific principles of the circadian clock's role and their long-term research experience,then summarizes and recommends the con-sensus opinions for the research of circadian clock in the pathogenesis mechanism and precision diagnosis and treatment of human OSCC,with the hope of providing guidance for the basic research and clinical application of circadian clock or circadian rhythm in the pathogene-sis mechanism and precision diagnosis and treatment of oral and maxillofacial squamous cell carcinoma.

Objective To investigate the influencing factors and Traditional Chinese Medical(TCM)syndrome classification of skin pruritus in patients with maintenance hemodialysis(MHD).Methods A total of 174 hemodialysis patients who underwent regular dialysis in Zhejiang Chinese Medical University Affiliated Jiaxing TCM Hospital from July to September 2024 were selected as study subjects.According to the presence or absence of uremic pruritus(UP),they were divided into pruritus group(n=66)and non-pruritus group(n=108).Both groups of patients were classified into TCM syndromes,and the factors affecting skin pruritus in MHD patients were analyzed by Logistic regression analysis and an evaluation model was established.The evaluation efficiency of the model was evaluated by receiver operating characteristic curve.The relationship between TCM syndromes and pruritus degree was analyzed.Results Both groups of patients were mainly characterized by spleen and kidney Qi deficiency,and the difference was statistically significant(P＜0.05).Logistic regression analysis showed that β2 microglobulin(β2-MG),blood phosphorus,hyper-sensitive C-reactive protein and parathyroid hormone(PTH)were all risk factors for skin pruritus in MHD patients.The area under the curve of skin pruritus in MHD patients was 0.962(95％CI:0.930-0.995).The underlying syndrome of UP patients was mainly spleen and kidney Qi deficiency,and marked syndrome was mainly blood deficiency and wind-dryness.Conclusion β2-MG,blood phosphorus,hyper-sensitive C-reactive protein and PTH are closely related to the occurrence of skin pruritus in MHD patients.The TCM syndrome of UP patients is mainly characterized by spleen and kidney Qi deficiency,and syndrome of blood deficiency and wind-dryness is mainly characterized by UP patients,and there is a certain correlation between TCM syndrome classification and the degree of skin pruritus.

Objective To investigate immune characteristics of non-responsive macrolide-resistant Mycoplasma pneumoniae pneumonia(MPP)and macrolide-susceptible Mycoplasma pneumoniae pneumonia(MSMPP),and the clinical significance of serum Mycoplasma pneumonia DNA load and NK cell count in the course of disease were evaluated.Methods A total of 120 MPP patients hospitalized at Hangzhou Children's Hospital from August 2022 to August 2023 were selected as subjects,they were divided into MSMPP group(n=36)and macrolide-unresponsive MPP(MUMPP)group(n=84)based on whether they were effective within 72h of using macrolide antibiotics.Compare various indicators levels in the first 6 hours after admission between two groups.Multivariate analysis of variance was used for independent risk factors and receiver operating characteristic(ROC)curve analysis was used for diagnostic performance.Results CD4+T,NK,and lgMP-DNA were independent risk factors for predicting whether MPP patients were MUMPP.The area under ROC curve for CD4+T,NK,lgMP-DNA,NK+CD4+T,lgMP-DNA+CD4+T,and lgMP-DNA+NK were 0.684,0.753,0.728,0.803,0.779,and 0.813,respectively.Conclusion Decreased peripheral blood NK cells and high MP-DNA load are important clinical features of drug-resistant Mycoplasma pneumonia,and combined detection can provide important clinical value for subsequent diagnosis and treatment.

Objective To observe the value of MRI radiomics combined with ResNet101 deep learning for differentiating lumbar spine brucella spondylitis(BS)and spinal metastases(SM).Methods Seventy-one cases of lumbar spine BS and the same amount of lumbar spine SM patients were retrospectively enrolled in training set,while 33 cases of lumbar spine BS and the same amount of lumbar spine SM patients were enrolled in test set.Clinical features were screened with univariate and multivariate logistic analysis,and a clinical model(Mclinic)was constructed.ROI of lesions were drawn on lumbar sagittal T 2WI,then radiomics features were extracted to construct a radiomics model(Mradiomics).ResNet101 deep learning was integrated with radiomics,then deep learning radiomics features were extracted to construct deep learning radiomics model(MDL+R).Finally a combined model(Mcombined)was constructed through combining clinical features and deep learning radiomics features.The efficacy of the above models for differentiating BS and SM were analyzed.Results Significant differences of patients' age and proportion of fever and accessory involvement were found between BS and SM patients in training and test sets(all P＜0.05),and univariate and multivariate logistic analysis showed the latter two were clinical features(both P＜0.001).The area under the curve(AUC)of Mclinic for differentiating lumbar spine BS and SM was 0.794 and 0.773 in training set and test set,of Mradiomics was 0.895 and 0.791,of MDL+R was 0.926 and 0.882,while of Mcombined was 0.967 and 0.906,respectively.AUC of Mcombined was the highest in training set(all P＜0.05),while in test set,AUC of Mcombined was significantly higher than that of Mclinic and Mradiomics(both P＜0.05).Conclusion MRI radiomics combined with ResNet101 deep learning was helpful for differentiating lumbar spine BS and SM.Combining with clinical data could improve its diagnostic efficacy.

Objective:To explore the therapeutic effectiveness of using biomimetic electrical stimulation in conjunction with hormone replacement therapy involving estrogen and progesterone sequentially on premature ovarian failure and its influence on uterine artery hemodynamics.Methods:90 patients with premature ovarian failure in the First People's Hospital of Xianyang were selected from December 2022 to December 2023. According to the principle of matching the baseline characteristics between groups, the above patients were divided into observation group (pink ball, 45 cases) and control group (black ball, 45 cases) by random touching pink-black ball. The control group received estrogen-progesterone sequential therapy. In contrast, the observation group added biomimetic electrical stimulation combined therapy on the basis of the control group. The therapeutic effect, sex hormones (follicle stimulating hormone (FSH), luteinizing hormone (LH), estradiol), uterine artery hemodynamics indicators (uterine artery peak systolic velocity (PSV), pulsatility index (PI), resistance index) and occurrence of adverse reactions were compared between groups of patients. Measurement data with normal distribution were expressed as xˉ± s, and independent sample t test was used for between-group comparison of mean data and paired t-test was used for comparison before and after treatment. The percentage of enumeration data was calculated, and between-group rate was compared by chi-square test. P<0.05 was considered statistically significant. Results:Total effective rate with 96.56%(43/45) in observation group was higher than 82.22%(37/45) in control group ( χ2=4.05, P=0.044). After the end of treatment, FSH, LH, PI and resistance index in both groups were decreased, but the above indicators in observation group ((35.12±6.23) U/L, (33.56±4.12) U/L, 1.97±0.59, 0.41±0.13) were lower than those in control group ((49.23±6.87) U/L, (46.25±4.32) U/L, 2.33±1.04, 0.58±0.22), while the estradiol and PSV in both groups were increased, and the two indicators in observation group ((38.23±5.32) ng/L, (19.68±3.25) cm/s) were higher than those in control group were higher than those in control group ((32.12±5.12) ng/L, (16.44±2.03) cm/s) ( t value were 10.21, 2.52, 2.02, 4.62, 5.55, 5.67, respectively; Pvalue were <0.001, 0.014, 0.046, <0.001, <0.001, <0.001, respectively). The adverse reactions in the observation and control groups were nausea and vomiting (3 cases and 4 cases ), headache (2 cases and 4 cases), breast pain (1 case and 3 cases), and abdominal pain (2 cases and 4 cases), respectively,There were no statistical differences in incidence rates of adverse reactions between groups ( χ2 value were 0.16, 0.71, 1.05, and 0.71, respectively; P value were 0.694, 0.398, 0.306, and 0.398, respectively). Conclusion:The combination of biomimetic electrical stimulation technology and sequential therapy of estrogen and progesterone has shown outstanding efficacy in treating premature ovarian failure, promoting the synthesis of sex hormones in patients, improving uterine blood supply, and having high safety.

The endometrial-myometrial junctional zone(referred to junctional zone[JZ])and the outer myometrium are both components of uterine myometrium.JZ is a specialized region between myometrium and endometrium of uterus,playing an important role in female physiology and reproductive functions.Ultrasound and MRI are the main imaging methods for evaluating JZ,able to comprehensively evaluate the morphology,thickness and blood perfusion of JZ,and to diagnose associated abnormalities.The progresses of ultrasound and MRI for evaluating JZ were reviewed in this article.