BACKGROUND:There is less report about mitigating sustained bone grinding injuries during craniotomy based on a model of traumatic brain injury established using the modified Feeney's free-fall method. OBJECTIVE:To modify a modified traumatic brain injury model by altering the opening of the skull window. METHODS:Thirty-six Sprague-Dawley rats were equally randomized into sham group,model group and modified model group.The modified procedure of opening the bone window was used in the modified model group.Six to eight small holes of 0.3-0.5 mm in diameter were punched at the edge of the impact area and the drill was immediately withdrawn without touching the cortex.In the modified model group,the skull window was opened by using the modified method,while the skull window in the model group was opened using the conventional method.The modified model group and model group were established using the Feeney's free-fall method.In the sham group,only the skull window was opened without impact.The modified neurological severity scoring was performed at 1 day after modeling.T2 weighted imaging was performed and T2 values were measured at 1 and 7 days after modeling.Hematoxylin-eosin staining of the brain section was made for histopathological observation at 7 days after modeling.The level of blood viscosity,interleukin-6,interleukin-1β,and tumor necrosis factor-α were determined at 7 days after modeling. RESULTS AND CONCLUSION:Compared with the sham group,the modified neurological severity scores in the model group and modified model group were significantly increased at 1 day after modeling(P＜0.000 1).Meanwhile,the modified neurological severity scores in the modified model group were lower than those in the model group(P＜0.000 1).Compared with the sham group,the T2 values were significantly increased in the model group and modified model group at 1 and 7 days after modeling(P＜0.05),while the T2 values in the modified model group were lower than those in the model group(P＜0.05).Compared with the sham group,the level of blood viscosity,interleukin-6,interleukin-1β and tumor necrosis factor-α were increased in the model group and modified model group at 7 days after modeling(P＜0.05),while the level of interleukin-6 in the modified model group was lower than that in the model group(P＜0.05).To conclude,establishing a modified traumatic brain injury model based on the Feeney's free-fall method provides better controls of injury factors during cranial opening.

【Objective】 To identify the risk factors for recurrence and malignant transformation (MT) in patients with low-grade glioma (LGG) after surgery. 【Methods】 The data of 163 patients who underwent LGG resection and subsequent follow-up from March 2009 to April 2019 were retrospectively collected. Patients who did not experience recurrence or MT after surgery were included in the control group (85 cases), those who experienced recurrence after surgery were included in the observation 1 group (44 cases), and those who experienced MT after surgery were included in the observation 2 group (34 cases). Based on the clinical data of the three groups of patients, their clinical characteristics were analyzed, and the risk factors and predictive value for recurrence and MT were explored using Logistic regression model and receiver operating characteristic (ROC) curve. 【Results】 There were significant differences between the control group and the observation 1 group in preoperative seizure, preoperative Karnofsky performance status (KPS) score, and surgical approach (P<0.05). There were significant differences between the control group and the observation 2 group in gender, preoperative KPS score, tumor size, and surgical approach (P<0.05). There were significant differences between the control group and the observation 1 group in isocitrate dehydrogenase (IDH) mutation, proliferating cell nuclear antigen (PCNA), matrix metalloproteinase-9 (MMP-9), cancer-testis antigen OY-TES-1, OY-TES-1 mRNA protein, tumor suppressor protein p53, mouse double minute 2 (MDM2), vascular endothelial growth factor (VEGF), or epidermal growth factor receptor (EGFR) (P<0.05). There were significant differences between the control group and the observation 2 group in PCNA, MMP-9, cancer-testis antigen OY-TES-1, OY-TES-1 mRNA protein, or VEGF (P<0.05). Logistic regression analysis showed that IDH mutation, MMP-9, and PCNA were independent risk factors for LGG recurrence (P<0.05), while VEGF, MMP-9, and PCNA were independent risk factors for LGG MT (P<0.05). The area under curve (AUC) of PCNA, MMP-9 and IDH mutation for predicting LGG MT after surgery was 0.744, 0.790, and 0.799, respectively. The AUC of PCNA, MMP-9, and VEGF for predicting LGG recurrence after surgery was 0.729, 0.750, and 0.900, respectively. 【Conclusion】 This study found that IDH mutation, MMP-9 and PCNA were independent risk factors for LGG recurrence, while VEGF, MMP-9 and PCNA were independent risk factors for LGG MT by retrospectively analyzing the clinical data and protein expression of 163 patients with LGG after surgery. These proteins have high accuracy in predicting LGG recurrence and MT after surgery. Therefore, the proteins may play an important role in the biological behavior and treatment effect of LGG, and can be used as reference indicators for prognosis evaluation and individualized treatment of LGG patients after surgery.

Objective:To investigate the risk factors and long-term prognosis of major adverse cardiovascular events(MACEs) in patients with dilated cardiomyopathy (DCM).Methods:This study was a single-center retrospective cohort study. Clinical information from 300 patients with DCM hospitalized in Peking Union Medical College Hospital from April 2013 to April 2023 was collected. Based on echocardiography results, the patients were divided into two groups: isolated DCM and DCM with left ventricular non-compaction cardiomyopathy (LVNC). The MACEs, including major heart failure events, severe ventricular arrhythmias, and cardiovascular death, were recorded by outpatient or telephone follow-up. Univariate and multivariate Cox proportional hazard regression models were used to analyze the risk factors affecting the prognosis of patients with DCM. Kaplan-Meier curve and log-rank were used for survival analysis to compare the difference in the incidence of cardiovascular events between the two groups.Results:The included 300 DCM patients were (47.8±16.8) years old, with 197 males (65.7%), of which 237 (79.0%) were isolated DCM and 63 (21.0%) were DCM with LVNC. The follow-up time was 4.0 (1.9, 6.2) years. A total of 142 (47.3%) MACEs occurred, including 117 (39.0%) major heart failure events, 20 (6.7%) severe ventricular arrhythmia events, and 53 (17.7%) cardiovascular death events. Multivariate Cox proportional hazard regression analysis showed that increased left ventricular end-diastolic diameter ( HR=1.21, 95% CI: 1.01-1.44, P=0.042), moderate or severe mitral regurgitation ( HR=1.71, 95% CI: 1.19-2.47, P=0.004), increased ln (N-terminal pro-B-type natriuretic peptide) ( HR=1.30, 95% CI: 1.10-1.54, P=0.002) were independent risk factors for dverse cardiovascular events in DCM patients, and angiotensin-converting enzyme inhibitor (ACEI)/angiotensin receptor blocker (ARB)/angiotensin receptor neprilysin inhibitor (ARNI) treatment ( HR=0.45, 95% CI: 0.26-0.78, P=0.004) was independent protective factor. Kaplan-Meier survival analysis found no significant difference in the risk of MACEs between isolated DCM and DCM with LVNC ( P=0.22). Similarly, there were no significant differences in the incidence of major heart failure, severe ventricular arrhythmia, and cardiovascular death between the two groups (all P>0.05). Conclusion:An increase in left ventricular end-diastolic diameter, moderate or severe mitral regurgitation, elevated N-terminal pro-B-type natriuretic peptide, and non use of ACEI/ARB/ARNI are independent predictors of cardiovascular events in DCM patients. There was no significant risk of MACEs in patients with isolated DCM and DCM with LVNC, and suggested that LVNC may be a unique phenotype and should be accurately managed in combination with genetic background.

Tongue diagnosis is an important method of TCM diagnosis and treatment.Tongue is the key link of auxiliary diagnosis of tongue feature extraction and processing,and also is the bottleneck of intelligent tongue diagnosis in traditional Chinese medicine.Using image processing,artificial intelligence technology to the tongue as a quantitative and identify characteristics of traditional Chinese medicine,looking for both conforms to the original thinking of TCM,and TCM tongue diagnosis method of accurately,has become a common concern of traditional Chinese medicine and computer field.From the mobile terminal tongue as auxiliary diagnostic system of traditional Chinese medicine tongue acquisition basic attribute,tongue diagnosis and image information building,tongue like features are required for accurate extraction and so on related key technology is analyzed,and build overall architecture,so as to provide technical reference for the tongue like intelligent diagnosis,promote the development of technology of tongue diagnosis in traditional Chinese medicine modernization.

Objective To investigate the effect of aqueous extract of Scrophularia ningpoensis(AESN)on AMP-activated protein kinase(AMPK)activity in INS-1 cells under high glucose(HG)conditions.Methods INS-1 cells were cultured in HG medium and treated with different concentrations of AESN.The influences of AESN on cell viability and pyroptotic body formation were detected using the CCK-8 assay.Western blotting was used to observe the effects of AESN on AMPK expression and phosphorylation.The effect of AESN on AMPK activity was measured using time-resolved fluorescence resonance energy transfer(TR-FRET)assay.Results Compared with normal glucose controls,INS-1 cells exposed to HG showed decreased cell viabilities and increased formation of pyroptotic bubbles using CCK-8 assay.Western blotting results indicated that HG exposure led to a decrease in intracellular AMPK phosphorylation levels.However,co-incubation with AESN under HG exposure AESN treatment increased the cell viabilities and phosphorylation of AMPK and decreased the pyroptotic bubbles formation in a concentration-dependent manner.In addition,the results of TR-FRET revealed that AESN treatment effectively increased AMPK activity in a concentration-dependent manner.Conclusion AESN has an activating effect on AMPK activity in HG-treated INS-1 cells.

With the continuous progress of research methodology in the real world and the growing maturity of artificial intelligence technology， a method for conducting “quantitative” research to guide clinical practice based on traditional Chinese medicine （TCM） diagnosis and treatment data was gradually developed. However， there is still a need for further improvements in the overall design of studies and the transformation of findings into clinical practice. Based on this， we put forward a comprehensive overall design concept and application approach for real-world study and artificial intelligence research based on clinical diagnosis and treatment data of TCM. This approach consists of five steps： Constructing a research-based database with a large sample size and high data quality； Mining and classification of core prescriptions； Conducting cohort studies to evaluate the effectiveness of core prescriptions； Utilizing case-control studies to clarify the dominant population； Establishing predictive models to achieve precision medicine. Additionally， it is imperative for researchers to establish a standardized system for collecting TCM variables and processing data， optimize the determination and measurement methods of confounding factors， further improve and promote methodologies， and strengthen the training of interdisciplinary talents. By following this research method， we anticipate that the clinical translation of research findings will be facilitated， leading to advancements in TCM precision medicine. Real-world study and artificial intelligence research share similar research foundations， and clinical applications complement each other. In the future， the two will merge together.

BackgroundThere are differences in executive function between major depressive episode patients with or without psychotic symptoms， and childhood trauma may affect the executive function of patients with major depressive episode. Previous research studies predominantly focused on adult patients with major depressive episode， with a lack of studies specifically focusing on adolescent patients with major depressive episode. ObjectiveTo investigate the differences in executive function among adolescent patients with major depressive episode， with or without psychotic symptoms and childhood trauma. MethodsA total of 112 hospitalized adolescent patients with major depressive episode who met the criteria of the International Classification of Diseases， tenth edition （ICD-10） were included in the study. The participants were recruited from the Department of Child and Adolescent Psychiatry， Shenzhen Kangning Hospital during the period from August 2020 to November 2021. Additionally， 27 healthy controls were recruited through public advertisements. The Cambridge Neuropsychological Test Automated Battery （CANTAB） was used to assess executive function through the administration of the Motor Screening Task （MOT）， Spatial Working Memory（SWM） and Rapid Visual Information Processing （RVP） modules. Childhood Trauma Questionnaire-Short Form （CTQ-SF） was used to assess the trauma type. ResultsCompared with healthy controls， adolescent patients with major depressive episode had a longer mean delay （Z=-3.407， P=0.001） in the MOT task. In the SWM task， the patients had a higher total number of intergroup error responses （Z=-3.291， P=0.001）， a higher total number of intragroup error responses （Z=-3.461， P=0.001）， more total number of double error responses （Z=-3.218， P=0.001）， a higher total error responses （Z=-3.312， P=0.001）， higher strategy scores （Z=-2.437， P=0.015） and longer average delay time （Z=-2.055， P=0.040）. In the RVP task， the patients had fewer hits （Z=-3.196， P=0.001）， more misses （Z=-3.179， P=0.001）， fewer rejections （Z=-2.772， P=0.006）， lower hit probability （Z=-3.187， P=0.001） and lower A´ scores （Z=-3.070， P=0.002）.Compared with adolescent patients with major depressive episode without psychotic symptoms， those with psychotic symptoms had a lower total number of double error responses （Z=-2.566， P=0.010） in SWM task. Compared with adolescent patients with major depressive episode who did not experience emotional neglect， those who experienced emotional neglect had longer average delay time （Z=-3.183， P=0.001） in MOT task， fewer total hits （Z=-2.445， P=0.014）， more total missed reports （Z=-2.467， P=0.014）， lower hit probability （Z=-2.445， P=0.014） and lower A´scores （Z=-2.089， P=0.037） in RVP task. Adolescent patients with major depressive episode who had experienced emotional abuse had longer average delay time in MOT task than those who had not experienced emotional abuse （Z=-2.552， P=0.011）. ConclusionAdolescent patients with major depressive episode exhibit abnormalities in a majority of executive function domains. Specifically， those without psychotic symptoms and with childhood trauma demonstrate significantly impaired executive function. ［Funded by Shenzhen Fund for Guangdong Provincial High-level Clinical Key Specialties （number， SZGS013）， Basic and Applied Basic Research Fund of Guangdong Province （number， 2019A1515110047）， Shenzhen Science and Technology Planning Project （number， JCYJ20190809155019338）］

Humans ; Aminoquinolines/therapeutic use* ; Carcinoma, Non-Small-Cell Lung/genetics* ; Lung Neoplasms/genetics* ; Mutation/genetics* ; Standard of Care

Objective:To explore the relationship between the maternal dietary patterns during pregnancy and the early childhood BMI change trajectory.Methods:The subjects were 1 241 pairs of pregnant women and their children in Ma'anshan maternal and infant health cohort. The food frequency questionnaire was used to collect the maternal diet data during pregnancy. The cohort children were followed up at birth, month 3, 6, 12, 18 and 24, respectively. The body height and weight data of the cohort children were collected. The principal component analysis was used to determine the categories of maternal dietary patterns during pregnancy, group-based multi-trajectory modeling was used to fit the early childhood BMI change trajectory, and the multiple classification logistic regression model was used to evaluate the relationship between the maternal dietary patterns during pregnancy and the early childhood BMI change trajectory.Results:The maternal dietary patterns during pregnancy included protein type, healthy type, vegetarian type, processing type and beverage type, which could explain 50.04% of the total dietary variation. Among them, the protein type, main dietary pattern, could explain 21.34% of the total dietary variation. The early childhood BMI change trajectory was from thinnish stature to average stature, then to mild obesity, accounting for 42.9%, 45.6% and 11.5% respectively. After controlling the potential confounding factors, it was found that there was a statistical correlation between healthy type and beverage type of maternal dietary patterns during pregnancy and early childhood BMI change trajectory ( P<0.05). Comparison of change trajectories between thinnish type and average stature type, children in the low-level group of healthy diet pattern tended to have a thinnish type change trajectory in early life ( OR=1.286, 95% CI: 1.002-1.651). Comparison of change trajectories between mild obesity type and average stature type, children in the high-level group of beverage diet pattern tended to have a mild obesity type change trajectory in early life ( OR=0.565, 95% CI: 0.342-0.935). The other dietary patterns had no statistical correlation with the early childhood BMI change trajectory. Conclusions:Maternal dietary patterns during pregnancy can affect the early childhood BMI change trajectory, and the low-level healthy type diet is an independent risk factor for thinnish type change trajectory, and the high-level beverage type diet is an independent risk factor for the mild obesity type change trajectory.

Starch is the predominant compound in bulb scales, and previous studies have shown that bulblet development is closely associated with starch enrichment. However, how starch synthesis affects bulbification at the molecular level is unclear. In this study, we demonstrate that