OBJECTIVE: To investigate the effect and mechanism of Hyssopus cuspidatus Boriss. extract (HCE) in ovalbumin (OVA)-induced allergic asthma. METHODS: Components identification of HCE was conducted using ultra performance liquid chromatography-quadrupole-time of flight-mass spectrometry. Mice were sensitized with OVA to establish asthmatic model, and dexamethasone was used as positive control. Respiratory reactivity, white cells counting in bronchoalveolar lavage fluid and peripheral blood, cytokine level measurement in serum and lung tissue, and histologic examination were performed to evaluate the therapeutic effect of HCE on asthma. Network pharmacology approach was used for mechanism prediction. Western blotting and untargeted lipidomics method were applied for mechanism validation. RESULTS: Fifty-two compounds were identified in HCE, predominantly terpenoids and flavonoids. HCE markedly reduced airway resistance, the eosinophil infiltration in lung tissues, and the levels of immunoglobulin E, interleukin-4, interleukin-5, and interleukin-13. Network pharmacology analysis suggested phosphatidylinositol 3-kinases (PI3K), c-Jun N-terminal kinase (JNK), and p38 Mitogen-activated protein kinase (p38 MAPK) may be key proteins of HCE in the treatment of allergic asthma. Western blot results indicated that the levels of phosphorylated PI3K, JNK, and P38 were downregulated in HCE-treated group. Moreover, HCE significantly upregulated the levels of ceramide and sphingomyelin and downregulated the level of phosphatidylcholine. CONCLUSION HCE inhibited allergic asthma via PI3K/JNK/P38 signaling pathway and lipid homeostasis regulation.

AIM:To investigate the role and mechanism of cell death-inducing DNA fragmentation factor al-pha(DFFA)-like effector B(Cideb)in promoting palmitic acid(PA)-induced lipid deposition in human hepatoblastoma HepG2 cells.METHODS:The HepG2 cells were divided into control group,model group,negative control silencing(siR-NC)group and Cideb silencing(siR-Cideb)group.The cells were treated with PA to establish a cellular model of lipid deposition.Specific siRNAs were used to silence the expression of Cideb,and the intracellular lipid content was mea-sured.Lipid deposition was observed by oil red O staining.RT-qPCR and Western blot were used to detect the expression levels of Cideb,sterol regulatory element-binding protein 1c(SREBP1c),acetyl-CoA carboxylase 1(ACC1),fatty acid synthase(FAS),stearoyl-CoA desaturase 1(SCD1)and AMP-activated protein kinase α(AMPKα)in the cells.The ef-fects of Cideb overexpression on HepG2 cells were observed by transfection with a Cideb eukaryotic expression plasmid.RESULTS:Compared with control group,the cells in PA model group presented lipid deposition,significantly increased triglyceride(TG)and total cholesterol(TC)content,elevated expression levels of Cideb,SREBP1c,ACC,FAS and SCD1,and decreased expression of AMPKα(P＜0.05).Compared with siR-NC group,the cells in siR-Cideb group pre-sented decreased lipid deposition,reduced intracellular TG and TC content,decreased SREBP1c,ACC,FAS and SCD1 expression levels,and increased AMPKα expression(P＜0.05).The overexpression of Cideb increased the lipid deposi-tion,TG and TC content,and the expression levels of SREBP1c,ACC,FAS and SCD1 in HepG2 cells,but decreased the expression of AMPKα(P＜0.05).CONCLUSION:Reduction of Cideb alleviates PA-induced lipid deposition in HepG2 cells by down-regulating the SREBP1c/ACC/FAS/SCD1 pathway and up-regulating the AMPKα pathway.

Objective:To detect the expression levels of long non-coding RNAs(lncRNA)in elderly patients with pulmonary tuberculosis(PTB)and those with non-tuberculous lung diseases(non-TB), and to assess the performance of these lncRNA in the differential diagnosis of PTB.Methods:A total of 300 elderly patients with suspected PTB were recruited from Beijing Chest Hospital between January 2024 and September 2024, and were further divided into the PTB group and the non-TB lung disease group based on the results of mycobacterium tuberculosis(MTB)pathogenicity testing.Peripheral blood mononuclear cells were isolated using a lymphocyte separation solution, and RNA was extracted using the TRIzol method.Nine lncRNAs, previously identified as differentially expressed in PTB through our group's microarray analysis, were selected and detected by real-time fluorescence quantitative polymerase chain reaction to evaluate the expression levels of these lncRNAs between the PTB and non-TB lung disease groups.The overall patients were randomly divided into training and validation sets in a 7∶3 ratio.Lasso regression was employed to select the characteristic variables, and a random forest algorithm was then used to construct the lncRNA diagnostic portfolio.Receiver operating characteristic(ROC)curves were generated to evaluate the diagnostic performance of individual lncRNAs and the combined panel in differentiating elderly patients with PTB from those with other non-TB lung diseases.Results:A total of 201 cases were included, with 105 confirmed elderly patients diagnosed with PTB(52.2%)and 96 elderly patients suffering from non-TB lung disease(47.8%).Compared to the elderly patients with non-TB lung disease, the expression levels of ENST00000417346.1, ENST00000620744.1, lncRNA PWP1, ENST00000583184.1, lncRNA ABHD17B, ENST00000607464.1, ENST00000516057.1, and NR_003000 were significantly downregulated in the PTB patients, whereas the expression level of lncRNA BCL2L10 was significantly upregulated in the PTB patients.ROC analysis revealed that the area under the curve(AUC)for each lncRNA ranged from 0.659 to 0.848.The diagnostic panel, which included NR_003000, ENST00000607464.1, ENST00000583184.1, and ENST00000620744.1 as determined by Lasso analysis, exhibited AUC values of 0.917 and 0.906 in the training and validation sets, respectively.The performance of this panel was superior to that of each individual lncRNA.Conclusions:The random forest model, which incorporates NR_003000, ENST00000607464.1, ENST00000583184.1, and ENST00000620744.1, demonstrates potential in differentiating between PTB and non-TB lung diseases.

Adverse childhood experiences (ACEs) refer to traumatic events such as abuse and neglect experienced before the age of 18 years, which have negative impacts on an individual's physical and mental health. Studies have shown that ACEs not only increase the risk of health-harming behaviors such as smoking and alcohol abuse, but are also risk factors for depression and anxiety. The influence of ACEs on depression and anxiety exhibits type-specificity, cumulative effects, and temporal dynamics. The impact of ACE types on depression and anxiety varies across populations and genders, a dose-response relationship exists between the number of ACEs and depression/anxiety, and the phase, trajectory, and frequency of ACEs also significantly influence depression and anxiety. This article collected literature on ACEs and depression/anxiety from January 1995 to June 2024 by searching the CNKI and PubMed databases. It provides a comprehensive review of the associations between different ACEs types, quantities, categories, timing, trajectories, frequencies, and the risks of depression and anxiety, while also exploring the underlying mechanisms of these associations. The findings aim to offer references for the prevention and intervention of ACEs and the improvement of mental health.

BACKGROUND: Postoperative pulmonary complications (PPCs) are major adverse events in neurosurgical patients. This study aimed to develop and validate machine learning models predicting PPCs after neurosurgery. METHODS: PPCs were defined according to the European Perioperative Clinical Outcome standards as occurring within 7 postoperative days. Data of cases meeting inclusion/exclusion criteria were extracted from the anesthesia information management system to create three datasets: The development (data of Huashan Hospital, Fudan University from 2018 to 2020), temporal validation (data of Huashan Hospital, Fudan University in 2021) and external validation (data of other three hospitals in 2023) datasets. Machine learning models of six algorithms were trained using either 35 retrievable and plausible features or the 11 features selected by Lasso regression. Temporal validation was conducted for all models and the 11-feature models were also externally validated. Independent risk factors were identified and feature importance in top models was analyzed. RESULTS: PPCs occurred in 712 of 7533 (9.5%), 258 of 2824 (9.1%), and 207 of 2300 (9.0%) patients in the development, temporal validation and external validation datasets, respectively. During cross-validation training, all models except Bayes demonstrated good discrimination with an area under the receiver operating characteristic curve (AUC) of 0.840. In temporal validation of full-feature models, deep neural network (DNN) performed the best with an AUC of 0.835 (95% confidence interval [CI]: 0.805-0.858) and a Brier score of 0.069, followed by Logistic regression (LR), random forest and XGBoost. The 11-feature models performed comparable to full-feature models with very close but statistically significantly lower AUCs, with the top models of DNN and LR in temporal and external validations. An 11-feature nomogram was drawn based on the LR algorithm and it outperformed the minimally modified Assess respiratory RIsk in Surgical patients in CATalonia (ARISCAT) and Laparoscopic Surgery Video Educational Guidelines (LAS VEGAS) scores with a higher AUC (LR: 0.824, ARISCAT: 0.672, LAS: 0.663). Independent risk factors based on multivariate LR mostly overlapped with Lasso-selected features, but lacked consistency with the important features using the Shapley additive explanation (SHAP) method of the LR model. CONCLUSIONS: The developed models, especially the DNN model and the nomogram, had good discrimination and calibration, and could be used for predicting PPCs in neurosurgical patients. The establishment of machine learning models and the ascertainment of risk factors might assist clinical decision support for improving surgical outcomes. TRIAL REGISTRATION ChiCTR 2100047474; https://www.chictr.org.cn/showproj.html?proj=128279 .
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Algorithms ; Lung Diseases/etiology* ; Machine Learning ; Neurosurgical Procedures/adverse effects* ; Postoperative Complications/diagnosis* ; Risk Factors ; ROC Curve

Objective:To introduce an innovative concept teaching method called the core case analysis (CCA), to evaluate its application in teaching, and to provide a theoretical basis and practical reference for improving teaching effectiveness and cultivating practical talents.Methods:This paper elaborated the application strategies of CCA in teaching health service management courses. All the students of two undergraduate classes who studied "health service management" and enrolled in 2021 and 2020 at a medical university were selected as the research objects. The students were divided into experimental group and control group according to whether they received the CCA teaching method. A statistical analysis was performed on the scores of single-choice questions designed for concept definition and term explanation questions in the final exam. SPSS 23.0 software was used for t test. A questionnaire survey was conducted in the experimental group to comprehensively evaluate the effectiveness of teaching with the CCA method. Results:The score of the experimental group was significantly higher than that of the control group [(14.00±1.41) vs. (12.05±2.15), P=0.002]. The questionnaire showed that the teaching effectiveness of the CCA method and the students' acceptance of the method were relatively high. Conclusions:Compared with the traditional concept teaching method, the CCA method has advantages and is worthy of promotion and application in related teaching fields. Moreover, several key points of this method in teaching practice are put forward: emphasizing the combined use of multiple teaching methods, cultivating a professional teaching team, and optimizing the concept assessment and evaluation system.

Objective:To investigate the longitudinal relationship between self-esteem and hope of adolescents and to explore gender differences.Methods:A total of 1 982 adolescents,aged 11 to 24,participated in a l-year lon-gitudinal study with 3 waves of assessments(T1,baseline time;T2,6 months later;T3,1 year later).The Self-Es-teem Scale(SES)and the Children's Hope Scale(CHS)were used to measure levels of self-esteem and hope.The data were analyzed using a cross-lagged panel model and multi-group structural equation modeling.Results:Across the three measurement waves,the self-esteem scores were positively correlated with the hope scores(r=0.40-0.67).Results from the cross-lagged analysis indicated a bidirectional predictive relationship between the self-es-teem scores and hope scores over the year(β=0.09-0.22).The results of multi-group analysis showed significant gender differences in the autoregressive path of self-esteem in the three measures(Waldx2=3.78-3.84).Conclu-sion:Adolescents' self-esteem and hope exhibit a bidirectional predictive relationship,with no significant gender differences in the cross-lagged paths.

Objective:the subclavian approach without insufflation, the ability of assistants to master the technique of holding the endoscope plays a crucial role in the thoroughness and smoothness of the surgery. The author has summarized the "six-marker method", which adjusts the mirror holding technique based on surgical steps and surgical operation goals, so that assistants can quickly grasp the essentials of mirror holding and assist the chief surgeon in completing the surgery smoothly. This method has wide applicability and feasibility, which can achieve good coordination between the surgeon and the mirror holder, shorten the surgical time and break in period. It is worth promoting and applying in clinical practice.

Objective:the subclavian approach without insufflation, the ability of assistants to master the technique of holding the endoscope plays a crucial role in the thoroughness and smoothness of the surgery. The author has summarized the "six-marker method", which adjusts the mirror holding technique based on surgical steps and surgical operation goals, so that assistants can quickly grasp the essentials of mirror holding and assist the chief surgeon in completing the surgery smoothly. This method has wide applicability and feasibility, which can achieve good coordination between the surgeon and the mirror holder, shorten the surgical time and break in period. It is worth promoting and applying in clinical practice.