Objective To construct machine learning models based on preoperative inflammatory and radiological features for the prediction of glioma grading and isocitrate dehydrogenase (IDH) mutation status, and to analyze application values of these models and identify the optimal predictive models. Methods A retrospective analysis was conducted on the data of pathologically confirmed glioma patients admitted to Tongji Hospital Affiliated to Tongji University from March 2019 to March 2023. LASSO regression was used to screen feature variables, and predictive models were constructed based on logistic regression (LR), random forest (RF), support vector machine (SVM), gradient boosting decision tree (XGBoost) and K-nearest neighbor (KNN) algorithms. The model performance was comprehensively evaluated using metrics including discrimination ability, area under the precision-recall curve (AUC), accuracy, F1 score and Brier score. The DeLong test was adopted to compare the AUC values among different models; Friedman rank-sum test was used to determine the overall performance differences of the models, with the Nemenyi test applied for multiple comparison correction. Results In the task of glioma grading prediction, the LR model achieved the highest comprehensive score (0.726), and no significant difference was observed between the LR model and the other four models; age was positively correlated with glioma grading (P=0.003). In the task of IDH mutation status prediction, the XGBoost model obtained the highest comprehensive score (0.832), which was superior to the LR (0.762, P=0.035) and KNN models (0.754, P=0.025), while no statistical differences were found between the XGBoost model and the RF or SVM models. Conclusions The LR model for glioma grading prediction and XGBoost model for IDH mutation prediction constructed based on a task-oriented strategy achieve a favorable interpretability while ensuring optimized performance, thereby providing reliable decision support for the individualized diagnosis and treatment of glioma.

Depression poses a severe threat to human health, placing a heavy burden on society and families. Yet, challenges remain in prevention and treatment. Lifestyle medicine aims to use evidence-based lifestyle interventions to prevent, treat, and even reverse chronic progression. Exploring breakthroughs in depression intervention prevention and treatment from the perspective of lifestyle medicine presents an opportunity for interdisciplinary research. Future research should focus on leveraging implementation science, cost-effectiveness analysis, and understanding optimal pathways and mechanisms of action. This article provides a review of this important topic.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

OBJECTIVE: To investigate the antioxidant and osteogenic induction capabilities of calcium phosphate nanoflowers (hereinafter referred to as nanoflowers) in vitro at different concentrations. METHODS: Nanoflowers were prepared using gelatin, tripolyphosphate, and calcium chloride. Their morphology, microstructure, elemental composition and distribution, diameter, and molecular constitution were characterized using scanning electron microscopy, transmission electron microscopy, Fourier transform infrared spectroscopy, and energy-dispersive spectroscopy. Femurs and tibias were harvested from twelve 4-week-old Sprague Dawley rats, and bone marrow mesenchymal stem cells (BMSCs) were isolated and cultured using the whole bone marrow adherent method, followed by passaging. The third passage cells were identified as stem cells by flow cytometry and then co-cultured with nanoflowers at concentrations of 0, 0.4, 0.8, 1.2, 1.6, 2.0, 2.4, 2.8, 3.2, and 3.6 mg/mL. Cell counting kit 8 (CCK-8) assay was performed to screen for the optimal concentration that demonstrated the best cell viability, which was subsequently used as the experimental concentration for further studies. After co-culturing BMSCs with the screened concentration of nanoflowers, the biocompatibility of the nanoflowers was verified through live/dead cell staining, scratch assay, and cytoskeleton staining. The antioxidant capacity was assessed by using reactive oxygen species (ROS) fluorescence staining. The in vitro osteoinductive ability was evaluated via alkaline phosphatase (ALP) staining, alizarin red staining, and immunofluorescence staining of osteocalcin (OCN) and Runt-related transcription factor 2 (RUNX2). All the above indicators were compared with the control group of normally cultured BMSCs without the addition of nanoflowers. RESULTS: Scanning electron microscopy revealed that the prepared nanoflowers exhibited a flower-like structure; transmission electron microscopy scans discovered that the nanoflowers possessed a multi-layered structure, and high-magnification images displayed continuous atomic arrangements, with the nanoflower diameter measuring (2.00±0.25) μm; energy-dispersive spectroscopy indicated that the nanoflowers contained elements such as C, N, O, P, and Ca, which were uniformly distributed across the flower region; Fourier transform infrared spectroscopy analyzed the absorption peaks of each component, demonstrating the successful preparation of the nanoflowers. Through CCK-8 screening, the concentrations of 0.8, 1.2, and 1.6 mg/mL were selected for subsequent experiments. The live/dead cell staining showed that nanoflowers at different concentrations exhibited good cell compatibility, with the 1.2 mg/mL concentration being the best (P<0.05). The scratch assay results indicated that the cell migration ability in the 1.2 mg/mL group was superior to the other groups (P<0.05). The cytoskeleton staining revealed that the cell morphology was well-extended in all concentration groups, with no significant difference compared to the control group. The ROS fluorescence staining demonstrated that the ROS fluorescence in all concentration groups decreased compared to the control group after lipopolysaccharide induction (P<0.05), with the 1.2 mg/mL group showing the weakest fluorescence. The ALP staining showed blue-purple nodular deposits around the cells in all groups, with the 1.2 mg/mL group being significantly more prominent. The alizarin red staining displayed orange-red mineralized nodules around the cells in all groups, with the 1.2 mg/mL group having more and denser nodules. The immunofluorescence staining revealed that the expressions of RUNX2 and OCN proteins in all concentration groups increased compared to the control group, with the 1.2 mg/mL group showing the strongest protein expression (P<0.05). CONCLUSION The study successfully prepares nanoflowers, among which the 1.2 mg/mL nanoflowers exhibits excellent cell compatibility, antioxidant properties, and osteogenic induction capability, demonstrating their potential as an artificial bone substitute material.
Animals ; Osteogenesis/drug effects* ; Mesenchymal Stem Cells/drug effects* ; Calcium Phosphates/pharmacology* ; Rats, Sprague-Dawley ; Rats ; Antioxidants/chemistry* ; Cells, Cultured ; Cell Differentiation/drug effects* ; Nanostructures/chemistry* ; Tissue Engineering/methods* ; Bone Marrow Cells/cytology* ; Coculture Techniques ; Tissue Scaffolds/chemistry* ; Male ; Biocompatible Materials/chemistry* ; Cell Survival ; Core Binding Factor Alpha 1 Subunit/metabolism* ; Cell Proliferation

The pathogenesis and progression of depression are closely associated with functional dysregula-tion in the brain's reward and emotion-modulating circuits.As the central hub of the reward system,the nucleus accumbens(NAc)forms aberrant neural circuits with multiple brain regions-including the ventral tegmental area(VTA),medial prefrontal cortex(mPFC),amygdala(AMY),hippocampus(HIP),and paraventricular nucleus of the thalamus(PVT)-which have been empirically linked to depressive symptomatology.Acupuncture,with its multi-target therapeutic profile,aligns well with the multifactorial and multisystem dysregulation characteristic of depressive disorders.This review systematically examines the functional alterations of the NAc-centered neural circuitry in depression and explores the potential mechanisms of acupuncture intervention.Evidence suggests that acupuncture holistically ameliorates depression by:modulating dopaminergic transmission in the VTA-NAc pathway,enhancing neurotransmitter equilibrium in the mPFC-NAc circuit,bidirectionally regulating emotional stability via the AMY-NAc loop,attenuating HIP-NAc glutamatergic hyperactivity,and optimizing excitatory signaling in the thalamus-NAc circuit.Furthermore,this synthesis emphasizes a systems-level integration of circuit mechanisms,highlighting both the clinical applicability of acupuncture in depression treatment and recent advances in mechanistic research.The findings provide robust theoretical foundations and practical guidance for clinical practice,bridging translational neuroscience with therapeutic innovation.

Guidelines for Digital Ancient Books of TCM Indexing(T/CIATCM 119-2024)is based on the theoretical knowledge,disciplinary methods,and practical applications of TCM classical cataloging.Taking digital ancient books of TCM as the object,it systematically reveals the content of TCM knowledge,which is an essential indexing processing standard for building an intelligent retrieval system for TCM ancient books,and can provide support for the deep development and innovative utilization of TCM knowledge.It can not only promote the co-construction and sharing of ancient book resources in the TCM industry,but also promote the standardization construction and application of TCM information.This standard specifies the principles,methods,and examples of free indexing of digital ancient books of TCM based on their original content.It is applicable to the indexing and processing of digital ancient books of TCM for TCM professional libraries and related institutions,and to the data processing and construction of various types of TCM ancient book databases.

The pathogenesis and progression of depression are closely associated with functional dysregula-tion in the brain's reward and emotion-modulating circuits.As the central hub of the reward system,the nucleus accumbens(NAc)forms aberrant neural circuits with multiple brain regions-including the ventral tegmental area(VTA),medial prefrontal cortex(mPFC),amygdala(AMY),hippocampus(HIP),and paraventricular nucleus of the thalamus(PVT)-which have been empirically linked to depressive symptomatology.Acupuncture,with its multi-target therapeutic profile,aligns well with the multifactorial and multisystem dysregulation characteristic of depressive disorders.This review systematically examines the functional alterations of the NAc-centered neural circuitry in depression and explores the potential mechanisms of acupuncture intervention.Evidence suggests that acupuncture holistically ameliorates depression by:modulating dopaminergic transmission in the VTA-NAc pathway,enhancing neurotransmitter equilibrium in the mPFC-NAc circuit,bidirectionally regulating emotional stability via the AMY-NAc loop,attenuating HIP-NAc glutamatergic hyperactivity,and optimizing excitatory signaling in the thalamus-NAc circuit.Furthermore,this synthesis emphasizes a systems-level integration of circuit mechanisms,highlighting both the clinical applicability of acupuncture in depression treatment and recent advances in mechanistic research.The findings provide robust theoretical foundations and practical guidance for clinical practice,bridging translational neuroscience with therapeutic innovation.

Objective:To evaluate the application efficiency of the artificial prenatal sonography quality assurance system（PSAIS）in the quality control of fetal image quality during the first trimester（11-14 weeks），and to assist the quality control of fetal ultrasound examinations in the first trimester in Liaoning Province using this system.Methods:One hundred fetuses（2 757 ultrasound images）from early pregnancy ultrasound screenings at the Shengjing Hospital Affiliated to China Medical University in November 2022 were retrospectively randomly selected as the test set. The performance of PSAIS were evaluated by 3 obstetric ultrasound experts. First，the experts' sectional classification was used as the gold standard，the accuracy of PSAIS in classifying standard sections was assessed；the consistency between PSAIS and expert ratings was evaluated using the intraclass correlation coefficient（ICC）. The difference of time between PSAIS and expert quality control was analyzed. Finally，PSAIS was used to evaluate the quality of early pregnancy fetal ultrasound examinations at various levels of hospitals in Liaoning province，involving a total of 35 hospitals. Ten early pregnancy fetal ultrasound screening cases were randomly selected from each hospital. The specific evaluation content included the number of stored ultrasound images per examination，the completion rate of standard sections，image quality scores for each examination and individual images，excellence rates and pass rates. The assessment results were statistically described and analyzed.Results:The accuracy rate of PSAIS classification reached to 88.25%（706/800）；the ICC between PSAIS and expert ratings was 0.978. PSAIS analysis showed that the time for each early pregnancy fetal ultrasound examination was less than the average time required by experts（3.0 s vs. 63.5 s， P<0.05）.Quality control checks revealed statistically significant differences among hospitals at various levels in terms of the number of stored images，completeness of sections，scoring，excellence rate，and pass rate（all P<0.05）. Among them，tertiary hospitals performed better than secondary hospitals，private hospitals outperformed public ones，and specialized hospitals excelled over general hospitals. In the evaluation of section standardization，the fetal median sagittal plane had the highest completion rate［99.43%（348/350）］，while the umbilical cord abdominal wall entry transverse plane scan had the lowest completion rate［31.14%（109/350）］. Conclusions:PSAIS can reliably assess the quality of early pregnancy fetal ultrasound examinations，significantly enhancing the efficiency of quality control. There are noticeable differences among hospitals at various levels in Liaoning Province regarding the image quality of early pregnancy fetal ultrasounds，and there are also some common issues in standardizing sections. The quality of obstetric ultrasound images still needs further improvement.

Guidelines for Digital Ancient Books of TCM Indexing(T/CIATCM 119-2024)is based on the theoretical knowledge,disciplinary methods,and practical applications of TCM classical cataloging.Taking digital ancient books of TCM as the object,it systematically reveals the content of TCM knowledge,which is an essential indexing processing standard for building an intelligent retrieval system for TCM ancient books,and can provide support for the deep development and innovative utilization of TCM knowledge.It can not only promote the co-construction and sharing of ancient book resources in the TCM industry,but also promote the standardization construction and application of TCM information.This standard specifies the principles,methods,and examples of free indexing of digital ancient books of TCM based on their original content.It is applicable to the indexing and processing of digital ancient books of TCM for TCM professional libraries and related institutions,and to the data processing and construction of various types of TCM ancient book databases.

Objective:To explore the application effect of problem chain-based flipped classroom in the internship teaching of gastroenterology nursing students.Methods:A total of 101 nursing students who interned in the Department of Gastroenterology at The Second Affiliated Hospital of Chengdu Medical College from June 2022 to March 2024 were selected and divided into a control group ( n=51, traditional teaching) and a research group ( n=50, problem chain-based flipped classroom). The control group received traditional teaching methods of theoretical instruction + clinical practice. The research group received a teaching plan of "problem chain design + flipped classroom + multiple evaluation". The effectiveness was evaluated in four dimensions: theoretical assessment, operational skills, clinical ability, and teaching satisfaction. The Self-Rating Scale of Self-Directed Learning was used to assess self-directed learning ability. The data were subjected to t test, non-parametric test, and chi-square test using SPSS 26.0 and AMOS 24.0. The mediation effect was examined using structural equation modeling. Results:The research group scored higher than the control group in theoretical assessment [(92.10±6.33) vs. (80.41±9.34)], operational skills [(45.04±3.91) vs. (39.51±5.94)], and clinical ability [(52.64±5.51) vs. (45.50±7.42)] (all P<0.001). The teaching satisfaction scores showed that the research group of nursing students rated higher in clinical thinking cultivation [(4.41±0.62) vs. (3.82±0.69)] and team collaboration ability improvement [(4.28±0.59) vs. (3.91±0.64)] (both P<0.01), as compared to the control group. The total score of Self-Rating Scale of Self-Directed Learning [(227.93±18.47) vs. (214.54±19.86), P=0.001] and mediation effect analysis (indirect effect accounting for 29.44%) indicated that problem chain-based flipped classroom indirectly optimized teaching effectiveness by enhancing self-directed learning ability. Conclusions:The flipped classroom based on problem chain can effectively improve the theoretical level, operational skills, and clinical thinking ability of gastroenterology nursing students, and further optimize teaching effectiveness by enhancing self-learning and teamwork abilities, making it a teaching method worthy of promotion.