ObjectiveTo introduce visual teaching into the course design of medical humanistic care based on the concept of implementation science， evaluate the teaching implementation effect and feedback， and provide references for optimizing course teaching outcomes and improving students’ humanistic care competence. MethodsA visual teaching program for medical humanistic care was designed， with key steps including clarifying teaching objectives， content， methods， and curriculum assessment. This program was implemented in the medical humanistic care course teaching involving 50 elective students. Multi-dimensional evaluation of teaching effectiveness was conducted through course grades， visual teaching evaluation， and humanistic workshop assessment， combined with inductive content analysis of students’ learning experiences in the workshops. ResultsThe 50 students achieved above-average course grades （89.60±3.41） and demonstrated high satisfaction with the overall course and visual teaching. All the 6 groups obtained relatively high scores in the medical humanistic care workshops. Four themes were extracted， namely， enhancing humanistic care competencies， deepening familial and interpersonal relationships， realizing emotional expression and self-growth， and strengthening integration of humanistic care concepts with practice. ConclusionThe teaching of medical humanistic care course has achieved favorable effects， which contributes to deepening students’ understanding of humanistic care and enhancing their humanistic care competence. Students demonstrate high levels of recognition and satisfaction with the course.

Morinda officinalis is one of the “Four Great Southern Medicines” and is commonly used in clinical practice to treat erectile dysfunction and nocturnal emissions caused by kidney yang deficiency， uterine cold infertility， menstrual disorders， low abdominal pain， rheumatism， and muscle and bone weakness. Based on the principle of “treating raw and cooked differently”， this article summarizes the effects of different processing methods on the chemical constituents and pharmacological effects of M. officinalis . Research has found that processing can affect the content and structure of sugars， iridoids， and anthraquinones in M. officinalis ， thereby regulating its pharmacological effects such as anti-osteoporosis， immune regulation， anti-fatigue， and anti-depression. Among them， salt M. officinalis shows outstanding performance in anti-osteoporosis and enhancing immunity. Although previous studies have preliminarily elucidated the major chemical constituents of M. officinalis and their pharmacological characteristics， the dynamic transformation paths of constituents during the processing remain to be further clarified， especially the es tablishment of a quality marker system associated with the processing technology， to achieve the precision and intelligent development of the processing.

Morinda officinalis is one of the “Four Great Southern Medicines” and is commonly used in clinical practice to treat erectile dysfunction and nocturnal emissions caused by kidney yang deficiency， uterine cold infertility， menstrual disorders， low abdominal pain， rheumatism， and muscle and bone weakness. Based on the principle of “treating raw and cooked differently”， this article summarizes the effects of different processing methods on the chemical constituents and pharmacological effects of M. officinalis . Research has found that processing can affect the content and structure of sugars， iridoids， and anthraquinones in M. officinalis ， thereby regulating its pharmacological effects such as anti-osteoporosis， immune regulation， anti-fatigue， and anti-depression. Among them， salt M. officinalis shows outstanding performance in anti-osteoporosis and enhancing immunity. Although previous studies have preliminarily elucidated the major chemical constituents of M. officinalis and their pharmacological characteristics， the dynamic transformation paths of constituents during the processing remain to be further clarified， especially the es tablishment of a quality marker system associated with the processing technology， to achieve the precision and intelligent development of the processing.

The complement component 4 binding protein alpha(C4BPA)gene is the alpha chain of complement binding protein 4.As a plasma protein involved in the complement and coagulation systems,it can influence immune responses and lipid metabolism.In order to study the polymor-phism of C4BPA gene and its correlation with milk quality traits in Chinese Holstein cows,genom-ic DNA was extracted from blood samples of 92 Chinese Holstein cows,and the target fragment of C4BPA gene was amplified by PCR,and the association analysis was performed by using direct se-quencing to obtain the SNP loci and milk quality traits.The results showed that among the four SNPs found at the third intron of the C4BPA gene,I3-11 G＞A was highly significantly correlated with milk protein and urea nitrogen(P＜0.05),I3-291 T＞G was significantly correlated with lac-tose(P＜0.05),I3-374 C＞T was highly significantly correlated with lactose and urea nitrogen(P＜0.05),and I3-375 T＞G was highly significantly correlated with lactose(P＜0.05),milk pro-tein and urea nitrogen.The chi-square test values for each point indicated that the population was in genetic equilibrium.Individuals of haplotype combination H1 H1 had the highest lactose content,and haplotype combination H1H2 can be used as the best haplotype combination in the molecular selection work of dairy cows.

Accurate prediction of molecular properties is crucial for selecting compounds with ideal properties and reducing the costs and risks of trials. Traditional methods based on manually crafted features and graph-based methods have shown promising results in molecular property prediction. However, traditional methods rely on expert knowledge and often fail to capture the complex structures and interactions within molecules. Similarly, graph-based methods typically overlook the chemical structure and function hidden in molecular motifs and struggle to effectively integrate global and local molecular information. To address these limitations, we propose a novel fingerprint-enhanced hierarchical graph neural network (FH-GNN) for molecular property prediction that simultaneously learns information from hierarchical molecular graphs and fingerprints. The FH-GNN captures diverse hierarchical chemical information by applying directed message-passing neural networks (D-MPNN) on a hierarchical molecular graph that integrates atomic-level, motif-level, and graph-level information along with their relationships. Additionally, we used an adaptive attention mechanism to balance the importance of hierarchical graphs and fingerprint features, creating a comprehensive molecular embedding that integrated hierarchical molecular structures with domain knowledge. Experiments on eight benchmark datasets from MoleculeNet showed that FH-GNN outperformed the baseline models in both classification and regression tasks for molecular property prediction, validating its capability to comprehensively capture molecular information. By integrating molecular structure and chemical knowledge, FH-GNN provides a powerful tool for the accurate prediction of molecular properties and aids in the discovery of potential drug candidates.

Structural valve deterioration (SVD) refers to intrinsic and irreversible pathological changes in the components of prosthetic heart valves, manifesting as fibrosis, calcification, wear and tear, loosening, as well as strut fracture or deformation of the valve framework. These changes ultimately lead to valve stenosis and/or regurgitation.The mechanisms may be related to mechanical stress, immune response and abnormal calcium-phosphorus metabolism. Studies have shown that risk factors for SVD include patient factors (such as age, underlying cardiovascular disease and comorbidities), valve factors (such as material properties, processing techniques, and valve type), and surgical factors (such as valve injury, suboptimal stent expansion, and irregular stent release morphology). Clinical imaging assessment of SVD demonstrates complementary advantages among echocardiography, multi-detector spiral CT and cardiac magnetic resonance imaging, with distinct diagnostic objectives. The primary management strategies for SVD after trans-catheter aortic valve replacement (TAVR) include drug therapy, redo-TAVR, surgical aortic valve replacement (SAVR) and the novel SURPLUS technique. Among them, redo-TAVR has become a common method because of its minimally invasive nature, but it is still necessary to further clarify the patient indications and optimize the surgical strategy. SAVR is reserved for young, low-risk patients; SURPLUS combines the advantages of SAVR and TAVR, making it suitable for cases where redo-TAVR is unfeasible or contraindicated, while the risk of SAVR is excessively high. This article reviews the latest progress of SVD following TAVR treatment to provide reference for research into the durability of bioprosthetic valve and clinical intervention of SVD.
Humans ; Transcatheter Aortic Valve Replacement/adverse effects* ; Heart Valve Prosthesis/adverse effects* ; Prosthesis Failure ; Aortic Valve/pathology* ; Aortic Valve Stenosis/surgery*

Objective:To compare the therapeutic efficacy of the dual anteromedial and anterolateral approaches versus that of the anterior midline approach in the treatment of Wahlquist type C medial tibial plateau fractures accompanied by posterior column collapse.Methods:A retrospective study was conducted to analyze the 21 patients who had been treated for Wahlquist type C medial tibial plateau fractures plus posterior column collapse at The Fourth Orthopedic Ward, The 72nd Group Army Hospital of PLA between January 2019 and August 2023. The cohort included 13 males and 8 females, with an age of (43.3±6.7) years. The left side was involved in 14 fractures and the right side in 7 ones. The patients were divided into 2 groups based on their surgical approaches: a dual-approach group ( n=13) undergoing fixation via the dual anteromedial and anterolateral approaches, and a single-approach group ( n=8) undergoing fixation via the anterior midline approach. Comparative parameters included operative time, intraoperative blood loss, fracture healing time, quality of fracture reduction, medial proximal tibial angle (MPTA), incision complications, postoperative bone mass reduction quality (evaluated according to the Rasmussen anatomical criteria for tibial condyle fracture reduction), lateral tibial plateau instability, incidence of genu varum, and post-traumatic arthritis. Functional recovery of the lower limb joints was assessed at the final follow-up using the Merchant criteria. Results:No statistically significant differences were observed in the baseline characteristics between the 2 groups preoperatively, indicating comparability ( P>0.05). All patients were followed up for a mean duration of (38.1±11.3) months. The postoperative MPTA in the dual-approach group (86.8°±0.8°) was significantly larger than that in the single-approach group (85.5°±0.9°) ( P<0.05). Genu varum occurred in 1 patient in the dual-approach group and in 4 patients in the single-approach group, while lateral tibial plateau instability was observed in 1 patient in the dual-approach group and in 4 patients in the single-approach group, showing statistically significant differences between the 2 groups ( P<0.05). No statistically significant differences were found between the 2 groups regarding operative time, intraoperative blood loss, fracture healing time, quality of fracture reduction, incidence of incision complications, or incidence of post-traumatic arthritis ( P>0.05). At the final follow-up, no statistically significant difference was observed in the functional recovery of the lower limb joints assessed by the Merchant criteria between the 2 groups ( P>0.05). Conclusion:In the treatment of Wahlquist type C medial tibial plateau fractures accompanied by posterior column collapse, compared with the single anterior midline approach, the dual anteromedial and anterolateral approaches can restore more effectively the MPTA, and reduce the incidences of genu varum and lateral tibial plateau instability.

Accurate prediction of molecular properties is crucial for selecting compounds with ideal properties and reducing the costs and risks of trials.Traditional methods based on manually crafted features and graph-based methods have shown promising results in molecular property prediction.However,traditional methods rely on expert knowledge and often fail to capture the complex structures and interactions within molecules.Similarly,graph-based methods typically overlook the chemical structure and function hidden in molecular motifs and struggle to effectively integrate global and local molecular information.To address these limitations,we propose a novel fingerprint-enhanced hierarchical graph neural network(FH-GNN)for molecular property prediction that simultaneously learns information from hierarchical molecular graphs and fingerprints.The FH-GNN captures diverse hierarchical chemical information by applying directed message-passing neural networks(D-MPNN)on a hierarchical molecular graph that integrates atomic-level,motif-level,and graph-level information along with their relationships.Addi-tionally,we used an adaptive attention mechanism to balance the importance of hierarchical graphs and fingerprint features,creating a comprehensive molecular embedding that integrated hierarchical mo-lecular structures with domain knowledge.Experiments on eight benchmark datasets from MoleculeNet showed that FH-GNN outperformed the baseline models in both classification and regression tasks for molecular property prediction,validating its capability to comprehensively capture molecular informa-tion.By integrating molecular structure and chemical knowledge,FH-GNN provides a powerful tool for the accurate prediction of molecular properties and aids in the discovery of potential drug candidates.

Objective This study aimed to investigate the tumorigenic properties of MMTV-PyMT breast cancer transgenic mice at different ages(in weeks)and the changes in the composition of immune cells in the tumor microenvironment.Methods Eight groups of 4,6,8,10,12,14,16 and 18 weeks of age MMTV-PyMT female mice(FVB mice as the background)and one group of 8 weeks of FVB female mice were prepared for routine blood testing,the pathological changes of the mammary gland and lung metastases were observed by histopathological sections,and the immune cells in blood,spleen,and tumor were analyzed by flow cytometry.Results MMTV-PyMT mice showed adenular ductal lesions at 4～6 weeks of age;the ductal portion expanded to the growth boundary at 8～9 weeks of age,and then gradually broke through the glandular boundary to form early breast cancer at 8～12 weeks of age,and advanced breast cancer at 10～14 weeks of age.At 12 weeks of age,metastases were visible in the lungs of some mice,and at 14 weeks of age,the number of metastases in the lungs increased significantly.As the age of the mice increased,the number of white blood cells,neutrophils,and platelets in their blood increased gradually,while the lymphocytes and erythrocytes showed a gradual downward trend.Flow cytometry showed that with the increase in age,the proportion of T cells in the spleen and tumor gradually decreased,the MDSCs in the blood,spleen,and tumor gradually increased,and the NK cells in the tumor also gradually increased.Conclusions This study analyzed routine blood tests,pathology,and immune cells in the tissues of MMTV-PyMT mouse models of different weeks of age,providing a novel perspective on the dynamic alterations of the tumor immune microenvironment during the malignant progression of breast cancer.

Objective This study aimed to investigate the tumorigenic properties of MMTV-PyMT breast cancer transgenic mice at different ages(in weeks)and the changes in the composition of immune cells in the tumor microenvironment.Methods Eight groups of 4,6,8,10,12,14,16 and 18 weeks of age MMTV-PyMT female mice(FVB mice as the background)and one group of 8 weeks of FVB female mice were prepared for routine blood testing,the pathological changes of the mammary gland and lung metastases were observed by histopathological sections,and the immune cells in blood,spleen,and tumor were analyzed by flow cytometry.Results MMTV-PyMT mice showed adenular ductal lesions at 4～6 weeks of age;the ductal portion expanded to the growth boundary at 8～9 weeks of age,and then gradually broke through the glandular boundary to form early breast cancer at 8～12 weeks of age,and advanced breast cancer at 10～14 weeks of age.At 12 weeks of age,metastases were visible in the lungs of some mice,and at 14 weeks of age,the number of metastases in the lungs increased significantly.As the age of the mice increased,the number of white blood cells,neutrophils,and platelets in their blood increased gradually,while the lymphocytes and erythrocytes showed a gradual downward trend.Flow cytometry showed that with the increase in age,the proportion of T cells in the spleen and tumor gradually decreased,the MDSCs in the blood,spleen,and tumor gradually increased,and the NK cells in the tumor also gradually increased.Conclusions This study analyzed routine blood tests,pathology,and immune cells in the tissues of MMTV-PyMT mouse models of different weeks of age,providing a novel perspective on the dynamic alterations of the tumor immune microenvironment during the malignant progression of breast cancer.