To investigate the effects of Wogonin (WO) on learning and memory impairment, Aβ1-42 was injected intracerebroventricularly to induced a mouse learning and memory impairment model, and D-galactose was injected intraperitoneally to induced a mouse acute aging model. Mice were administered WO (75, 150, or 300 mg/kg) by oral gavage for 28 consecutive days. Cognitive function was assessed using the Morris water maze (MWM), novel object recognition (NOR), and open field tests (OFT). In the Aβ1-42 model, WO treatment (150 and 300 mg/kg) significantly improved the recognition index in the NOR test, while the 150 mg/kg group showed increased target quadrant preference in the MWM test. No changes in the total distance traveled in OFT. In the D-galactose aging model, the 150 mg/kg WO group exhibited increased platform crossings in the MWM test, and all WO doses (75, 150, and 300 mg/kg) enhanced target quadrant preference, with no alterations in spontaneous movement. Western blot analysis revealed that WO significantly attenuated hippocampal apoptosis in both models. These findings suggest that WO ameliorates learning and memory impairment associated with Alzheimer’s disease and aging.

Objective:To explore the value of spectral CT parameters combined with dynamic contrast enhanced magnetic resonance imaging（DCE-MRI） parameters in the short-term efficacy of concurrent chemoradiotherapy for nasopharyngeal carcinoma. Methods: A total of 110 cases with nasopharyngeal carcinoma Ⅲ-Ⅳ staging who received synchronous radiotherapy and chemotherapy at our Hospital from October 2022 to October 2024 were regarded as the study subjects. Complying with the evaluation results after radiotherapy and chemotherapy, they were divided into a complete remission（CR） group of 53 cases and a non CR group of 57 cases. All patients underwent DCE-MRI and energy dispersive CT scans to obtain parameters, such as iodine concentration（IC）, volume transfer constant（Ktrans）, slope of spectral HU curve（λHU）, rate constant（Kep）, and normalized iodine concentration（NIC）. Logistic regression analysis was used to screen for influencing factors. ROC curve was used to analyze the evaluation value of various parameters. In addition, Z-test was used to compare area under the curve（AUC）. Results:The proportion of retropharyngeal lymph node metastasis and λHUvalue in the non CR group were higher than those in the CR group, while Ktrans, Kep, IC value, and NIC value were lower than those in the CR group（P<0.05）. Retropharyngeal lymph node metastasis, Ktrans, Kep, IC value, λHUvalue, and NIC value were all influencing factors（P<0.05）. The AUC of individual prediction of Ktrans, Kep, IC value, λHUvalue, and NIC value was 0.817, 0.800, 0.785, 0.783, and 0.835, respectively. The AUC of the combination of DCE-MRI parameters, the combination of spectral CT parameters, and the combination of the five parameters were 0.874, 0.900, and 0.980, respectively, the AUC of the combination of the five parameters was significantly higher than the AUC of each indicator alone, the AUC of the combination of DCE-MRI parameters, and the AUC of the combination of spectral CT parameters（P<0.05）. Conclusion:The DCE-MRI, and spectral CT parameters （Ktrans, Kep, IC value, λHUvalue, and NIC value）can be used to evaluate concurrent radiotherapy and chemotherapy short-term efficacy for nasopharyngeal carcinoma. And the combination of various parameters can greatly improve the predictive value of efficacy, which has important clinical application value.
Humans ; Chemoradiotherapy ; Nasopharyngeal Neoplasms/diagnostic imaging* ; Magnetic Resonance Imaging ; Nasopharyngeal Carcinoma ; Tomography, X-Ray Computed ; Male ; Female ; Contrast Media ; Middle Aged ; Adult ; Lymphatic Metastasis ; Dynamic Contrast Enhanced Magnetic Resonance Imaging

In recent decades, the prevalence of hyperuricemia and gout has increased dramatically due to lifestyle changes. The drugs currently recommended for hyperuricemia are associated with adverse reactions that limit their clinical use. In this study, we report that berberine (BBR) is an effective drug candidate for the treatment of hyperuricemia, with its mechanism potentially involving the modulation of gut microbiota and its metabolite, succinic acid. BBR has demonstrated good therapeutic effects in both acute and chronic animal models of hyperuricemia. In a clinical trial, oral administration of BBR for 6 months reduced blood uric acid levels in 22 participants by modulating the gut microbiota, which led to an increase in the abundance of Bacteroides and a decrease in Clostridium sensu stricto_1. Furthermore, Bacteroides fragilis was transplanted into ICR mice, and the results showed that Bacteroides fragilis exerted a therapeutic effect on uric acid similar to that of BBR. Notably, succinic acid, a metabolite of Bacteroides, significantly reduced uric acid levels. Subsequent cell and animal experiments revealed that the intestinal metabolite, succinic acid, regulated the upstream uric acid synthesis pathway in the liver by inhibiting adenosine monophosphate deaminase 2 (AMPD2), an enzyme responsible for converting adenosine monophosphate (AMP) to inosine monophosphate (IMP). This inhibition resulted in a decrease in IMP levels and an increase in phosphate levels. The reduction in IMP led to a decreased downstream production of hypoxanthine, xanthine, and uric acid. BBR also demonstrated excellent renoprotective effects, improving nephropathy associated with hyperuricemia. In summary, BBR has the potential to be an effective treatment for hyperuricemia through the gut-liver axis.

Objective:To compare the effects of unilateral thoracic paravertebal block with lidocaine on hemodynamic and the level of consciousness during double lumen endotracheal intubation.Methods:From June to october 2021,a total of 40 patients American Society of Anesthesiologists(ASA)physical status Ⅰ-Ⅱ,aged 19-65 years,scheduled for elective thoracic sugeries in Peking University Interna-tional Hospital block with under general anesthesia requiring orotracheal intubation were recruited and di-vided into two groups:The double-lumen endobronchial intubation(group C)and double-lumen endo-bronchial intubation after thoracic paravertebal block with lidocaine(group P).After an intravenous an-esthetic induction,the orotracheal double-lumen intubation was performed using a Macintosh direct laryn-goscopy,respectively.Invasive blood pressure(BP)and heart rate(HR)were recorded before and after anesthetic induction,immediately after intubation and 5 min after intubation with 1-minute interval and the intubation time was also noted.Rate-pressure product(RPP)were calculated.Results:After anes-thetic induction,BP and RPP in the two groups decreased significantly compared with their preinduction values.As comparison with their postinduction values,the orotracheal intubation in the two groups caused significant increases in BP,HR and RPP.Diastolic blood pressure(DBP)and mean arterial pressure(MAP)increased significantly and lasted for 1-minute in group C compared with the baseline values.Systolic blood pressure(SBP)was not significant change and DBP increased significantly immediately af-ter intubation in group P.HR of both groups after intubation were significantly higher than their baseline values and lasted for 4 min in group C,HR increased significantly immediately after intubation in group P.SBP,DBP,MAP,HR and RPP after intubation in group P were significantly lower than those of group C during the observation period.The value of BIS was similar between the two groups.Compared with group C,the incidence of SBP greater than 30％and RPP greater than 22 000 was significantly lower in group P in the observation period,and no patient in group P developed RPP greater than 22 000.At the end of the incidence of SBP less than 30％of the basal value and HR less than 30％of the baseline,no severe bradycardia occurred in both groups.Conclusion:During double-lumen endobronchial intubation,unilateral thoracic paravertebal block with lidocaine can provide less hemodynamic response and level of conscionsness.

ObjectiveBased on the new method of animal model evaluation， this paper summarized and analyzed the characteristics of traditional Chinese medicine（TCM） and Western medicine syndromes in existing autism spectrum disorder（ASD） animal models， and put forward suggestions for improvement. MethodRelevant literature on ASD animal models in China National Knowledge Infrastructure（CNKI） and PubMed were searched. According to the diagnostic standards of traditional Chinese and western medicine， core symptoms and accompanying symptoms were assigned values， and the clinical consistency of the models was comprehensively evaluated. ResultMost ASD model experimental animals were rodents， and the modeling methods included genetic and non-genetic. Domestic research focused on biochemical induction， while foreign research used genetic models more commonly. Among all models， valproic acid induction had the highest clinical consistency， followed by the neuroligin 4（NLGN4） and contactin associated protein like 2（CNTNAP2） gene knockout models. Most modeling methods could meet the characteristics of surface validity and structural validity， but did not clearly distinguish TCM syndromes. Currently， there is no model that has a high degree of clinical agreement between TCM and western medicine at the same time. ConclusionThe existing ASD animal models are mostly constructed under the guidance of western medicine， which lacks the characteristics of TCM syndromes. And the selection of evaluation indicators of western medicine is relatively single， without specifying the types of TCM syndromes. It is recommended to apply TCM intervention factors during the process of model preparation， to improve the evaluation indicators of traditional Chinese and western medicine， and to emphasize the study of on non-human primates， so as to lay a solid foundation for future experiments.

Objective To explore the relevant relationship and specificity between the implicit and explicit loyalty of military cadets in order to provide a theoretical basis and objective indicators for a more comprehensive and objective assessment for individual loyalty.Methods E-Prime 2.0,a classic implicit association paradigm was employed to construct an implicit association loyalty test for 64 military cadets.Simultaneously,an explicit loyalty measurement was conducted using the Chinese Military Personnel Loyalty Scale.Results ① Significant implicit effect was observed in the loyalty assessment of military cadets,indicating a general tendency to perceive higher levels of personal loyalty and lower levels of loyalty to external entities.② Explicit loyalty assessment revealed that the participants had the highest loyalty score towards the Party,the Nation,and the People(4.79±0.34),followed by the loyalty score to their profession(4.38±0.53),and the relatively lower loyalty score towards the unit and leaders(4.03±0.83).Among the 3 dimensions of loyalty,the normative loyalty score ranked highest,while continuance loyalty score took lower.③ There were no correlations among the scores of loyalty to the Party,the Nation,and the People(r=-0.030,P=0.823),to the profession(r=-0.047,P=0.728),to the unit(r=0.050,P=0.710),or to the leaders(r=0.043,P=0.749).Conclusion The implicit effect in the loyalty assessment is significant in military cadets,and there is no significant correlation between explicit and implicit loyalty measurements.Thus,we cannot rely solely on explicit measurements to assess their loyalty attitudes.

As essential part of teachers' teaching practice, the design and arrangement of assignments is the main carrier of interaction between teachers and students, and is also an important learning way for students. According to the discipline characteristics and teaching modes of histology and embryology courses, we have developed a systematic assignment design model that covers theory, practice, and application with four types of assignments—pre-class assignments, exploratory assignments, practical assignments, and innovative assignments distributed before class, in class, after class, and throughout the teaching process. Behind this assignment design strategy is the concept of learner-centered teaching, which aims to help students learn professional knowledge and develop comprehensive literacy.

Objective:To explore the association between environment exposure and hormone-sensitive cough in patients with chronic cough.Methods:Clinical data of 197 patients with chronic cough visited outpatient clinic of the Second Affiliated Hospital of Guangzhou Medical University from June 2016 to June 2021 were retrospectively analyzed, including 130 cases of corticosteroid responsive cough (CRC, 66.0%) and 67 cases of non-corticosteroid responsive cough (NCRC, 34.0%). The association between living environment exposure and hormone sensitivity was examined with a binary logistic regression analysis.Results:Among 197 patients with chronic cough, there were 82 males (41.6%) and 115 females (58.4%). 75.1% (148/197) had a history of smoking, and 16.8% (33/197) had a history of allergies. 66.0% (130/197) lived in the city center, 18.3% (36/197) had a chemical factory around their place of residence, 11.2% (22/197) renovated their homes within the first six months of the disease, 15.7% (31/197) purchase new furniture, 54.3% (107/197) plant flowers and plants in their houses, 21.3% (42/197) keep pets in their houses, 79.2% (156/197) had lived in their houses for more than 2 years, 71.1% (140/197) had cockroaches in their houses, 16.2% (32/197) had mold in their houses, 83.3% (164/197) had a frequency of air conditioning cleaning exceeds 2 months per time.There were 130 patients (66.0%) with CRC and 67 patients (34.0%) with NCRC.Binary logistic regression analysis showed that living close to the main road ( OR=2.296, 95% CI: 1.350-3.904, P=0.002), living near chemical factories ( OR=3.322, 95% CI: 2.158-5.573, P<0.001), history of allergy ( OR=2.175, 95% CI: 1.165-4.058, P=0.015), purchasing new furniture within 6 months ( OR=2.828, 95% CI: 1.402-5.706, P=0.004), cotton and linen curtains ( OR=1.875, 95% CI: 1.038-3.388, P=0.037) were positively correlated with CRC; while down and wool pillowcases and quilts ( OR=0.142, 95% CI: 0.033-0.602, P=0.008; OR=0.207, 95% CI: 0.067-0.640, P=0.006) and low ventilation frequency ( OR=0.281, 95% CI: 0.131-0.603, P=0.001) were negatively correlated with CRC. Conclusion:Hormone-sensitive cough patients account the most of chronic cough cases, and there are differences in the living environment exposure between CRC and NCRC patients, which provides information for corresponding interventions to prevent and manage CRC.

Objective: To investigate the relationship between adverse childhood experiences (ACEs) and mental health status through network analysis in college students, so as to provide empirical evidence for the development of targeted intervention programs. Methods: From October to November 2023, a survey was conducted on 1 974 college students from three universities in Hubei Province by using ACEs Questionnaire and Symptom Checklist-90 (SCL-90). The network analysis method was used to construct a network structure to analyze the association between ACEs and SCL-90 symptom factors among college students. Results: The network structure of SCL-90 symptom factors and ACEs was stable, each forming a relatively tight cluster; there were 89 non zero edges between ACEs and SCL-90 symptom factors. Emotional neglect-depression played a significant pathway role in connecting the ACEs and SCL-90 symptom factors network. Depression, anxiety, and interpersonal sensitivity of SCL-90 symptom factors had the highest centrality in the ACEs and SCL-90 symptom factors network. Emotional neglect and physical neglect in ACEs and depression and psychoticism in SCL-90 symptom factors had a high node bridge expected influence, acting as Touchpoints to activate the whole network. Conclusion Early identification and intervention of emotional and physical neglect, with a focus on depression, anxiety, and interpersonal sensitivity symptoms of childhood neglected individuals, which is beneficial for improving the overall mental health level of college students.

Objective:To explore the application value of histogram and texture feature analysis based on CT images in distinguishing long bone osteosarcoma (OS) from Ewing sarcoma (ES).Methods:A retrospective collection of 25 patients with long bone osteosarcoma and 25 patients with Ewing sarcoma confirmed by surgery and pathology in National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Qilu Hospital of Shandong University and Nanjing Drum Tower Hospital, Nanjing University Medical School, from March 2018 to May 2023 was conducted. All patients were randomly divided into a training set (21 cases of OS and 19 cases of ES) and a validation set (4 cases of OS and 6 cases of ES) in an 8∶2 ratio. The region of interest (ROI) on CT images to extract texture feature parameters was manually sketched. Random forest and least absolute shrinkage and selection operator (LASSO) algorithm were used for feature screening. Logistic regression (LR), random forest (RF), support vector machine (SVM) and K-nearest neighbor (KNN) classifiers were used to establish models respectively. Receiver operating characteristic (ROC)curve was drawn and area under the curve (AUC) was calculated to evaluate the diagnostic efficiency of the four models.Results:A total of 100 texture parameters were extracted from CT images, and 8 feature parameters (maximum 3D diameter, 10th percentile, kurtosis, maximum pixel intensity value, inverse normalization, grayscale level variance, long range high grayscale emphasis, and low grayscale area emphasis) were obtained through screening. Four classifiers were used to establish models, and the AUC values of the four models (LR, RF, SVM, KNN) in the validation group were 0.92, 0.79, 0.83, and 0.73, respectively. LR and SVM classifier algorithm trains models had high diagnostic efficiency, with an accuracy of 90%, sensitivity of 83%, specificity of 100%, and AUC of 92% for the LR classifier validation set; the accuracy of SVM classifier validation set was 80%, sensitivity was 67%, specificity was 100%, and AUC was 83%.Conclusions:LR and SVM models have high value in distinguishing OS and ES.