ObjectiveTo predict the mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer via network pharmacology and validate the prediction results in animal experiments. MethodsThe potential mechanism through which Shasheng Maidong Tang enhances the efficacy of chemotherapy for lung cancer was predicted by network pharmacology， liquid chromatography-mass spectrometry （LC-MS）， and molecular docking methods. C57/BL6 mice were assigned into normal， model， cisplatin， and Shasheng Maidong Tang+cisplatin groups. In addition to the normal group， the remaining groups were injected subcutaneously with 0.2 mL of 1×10⁷ cells·mL^-1 Lewis lung cancer cells to establish the Lewis lung cancer model. The daily gavage dose of Shasheng Maidong Tang was 3.58 g·kg^-1， and the concentration of cisplatin intraperitoneally injected on every other day was 2 mg·kg^-1. Drugs were administered for 14 d. The changes in the tumor volume and the rate of tumor suppression were monitored， and the tumor histopathological changes were observed by hematoxylin-eosin （HE） staining. Enzyme-linked immunosorbent assay was employed to measure the interleukin （IL）-6 and interferon （IFN）-γ levels in peripheral blood. Real-time PCR was performed to quantify the mRNA levels of Janus kinase 2 （JAK2）， signal transducer and activator of transcription 1 （STAT1）， and signal transducer and activator of transcription 3 （STAT3） in the tumor tissue of mice. Western blot was employed to determine the protein levels of JAK2， STAT3， B-cell lymphoma-2 （Bcl-2）， cysteinyl aspartate-specific proteinase-3 （Caspase-3）， and Pim-1 proto1 （PIM1） in the tumor tissue. Immunohistochemistry was employed to detect the expression of Bcl-2 and PIM1 in the tumor tissue. ResultsNetwork pharmacological predictions indicated that Shasheng Maidong Tang might enhance the efficacy of chemotherapy for lung cancer by regulating nitrogen metabolism， AGE-RAGE signaling pathway， cancer pathway， and JAK/STAT signaling pathway. The experimental results demonstrated that tumor volume in the cisplatin group and Shasheng Maidong Tang+cisplatin group was reduced compared with the model group， with statistically distinct differences observed on days 14， 17， 20 post modeling （P<0.05）. Notably， the Shasheng Maidong Tang+cisplatin therapy further decreased tumor volume compared with the cisplatin group， showing marked reductions on days 17 and 20 （P<0.05）， consistent with trends visualized in tumor volume comparison charts. The Shasheng Maidong Tang+cisplatin group exhibited higher tumor inhibition rate than the cisplatin group （P<0.05）. Histopathological analysis via HE staining revealed that the tumors in the model group displayed frequent nuclear mitosis， densely arranged cells， hyperchromatic nuclei， and no necrosis. Cisplatin treatment induced partial necrosis and vacuolization， while the Shasheng Maidong Tang+cisplatin group exhibited extensive necrotic regions， maximal vacuolization， disarranged tumor cells， and minimal mitotic activity. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed elevated level of IFN-γ （P<0.01） and declined level of IL-6 （P<0.01） in the peripheral blood. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented elevated level of IFN-γ （P<0.01） and lowered level of IL-6 （P<0.01） in the peripheral blood. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin groups showed down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level STAT1 （P<0.01）. Compared with the cisplatin group， the Shasheng Maidong Tang+cisplatin group presented down-regulated mRNA levels of JAK2 and STAT3 （P<0.01） and up-regulated mRNA level of STAT1 （P<0.01）. Compared with the model group， the cisplatin group and the Shasheng Maidong Tang+cisplatin group showed down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， and STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. Compared with the cisplatin group， Shasheng Maidong Tang+cisplatin group presented down-regulated protein levels of JAK2 （P<0.01）， Bcl-2 （P<0.01）， PIM1 （P<0.01）， STAT3 （P<0.05）， and up-regulated protein level of Caspase-3 （P<0.01）. The Bcl-2 and PIM1 expression results obtained by immunohistochemistry were consistent with those of Western blot. ConclusionShasheng Maidong Tang may enhance the efficacy of chemotherapy in the mouse model of Lewis lung cancer by regulating the JAK2/STAT3 signaling pathway.

Objective: To prepare the erythrocyte-liposome drug delivery system to enhance the therapeutic effect of drugs on tumors and inhibit tumor metastasis. Methods: This study prepared and characterized paclitaxel (PTX)-plerixafor (AMD3100) liposomes (Lips), developed the erythrocyte-liposome drug delivery system, and evaluated its targeting efficiency and therapeutic efficacy through a series of in vitro cellular and in vivo animal experiments. Results: The particle size of PTX-AMD-Lips was (186.4±0.83) nm. Drug encapsulation efficiency of PTX-AMD-Lips was (75.50±5.27)% for PTX and (88.31±2.45)% for AMD. The Binding efficiency between RBC and liposomes in the drug delivery system was (69.93±2.55)%. Vitro cellular experiments revealed that PTX-AMD-Lips significantly inhibited tumor cell migration. In vivo animal experiments, the erythrocyte-liposome drug delivery system significantly increased drug accumulation in the lungs. At the experimental endpoint, the quantitative fluorescence signal of tumor size measured (4.04±0.44)×10 for the PTX-Lips group, and (5.14±3.40)×10 for the RBC-PTX-AMD-Lips group. Conclusion: The erythrocyte-liposome drug delivery system could enhance the lung-specific targeting capability of liposomes, kill tumor cells and suppress further metastasis effectively.

Objective: To develop a depression recognition model by integrating the spirit-expression diagnostic framework of traditional Chinese medicine (TCM) with machine learning algorithms. The proposed model seeks to establish a TCM-informed tool for early depression screening, thereby bridging traditional diagnostic principles with modern computational approaches. Methods: The study included patients with depression who visited the Shanghai Pudong New Area Mental Health Center from October 1, 2022 to October 1, 2023, as well as students and teachers from Shanghai University of Traditional Chinese Medicine during the same period as the healthy control group. Videos of 3 – 10 s were captured using a Xiaomi Pad 5, and the TCM spirit and expressions were determined by TCM experts (at least 3 out of 5 experts agreed to determine the category of TCM spirit and expressions). Basic information, facial images, and interview information were collected through a portable TCM intelligent analysis and diagnosis device, and facial diagnosis features were extracted using the Open CV computer vision library technology. Statistical analysis methods such as parametric and non-parametric tests were used to analyze the baseline data, TCM spirit and expression features, and facial diagnosis feature parameters of the two groups, to compare the differences in TCM spirit and expression and facial features. Five machine learning algorithms, including extreme gradient boosting (XGBoost), decision tree (DT), Bernoulli naive Bayes (BernoulliNB), support vector machine (SVM), and k-nearest neighbor (KNN) classification, were used to construct a depression recognition model based on the fusion of TCM spirit and expression features. The performance of the model was evaluated using metrics such as accuracy, precision, and the area under the receiver operating characteristic (ROC) curve (AUC). The model results were explained using the Shapley Additive exPlanations (SHAP). Results: A total of 93 depression patients and 87 healthy individuals were ultimately included in this study. There was no statistically significant difference in the baseline characteristics between the two groups (P > 0.05). The differences in the characteristics of the spirit and expressions in TCM and facial features between the two groups were shown as follows. (i) Quantispirit facial analysis revealed that depression patients exhibited significantly reduced facial spirit and luminance compared with healthy controls (P < 0.05), with characteristic features such as sad expressions, facial erythema, and changes in the lip color ranging from erythematous to cyanotic. (ii) Depressed patients exhibited significantly lower values in facial complexion L, lip L, and a values, and gloss index, but higher values in facial complexion a and b, lip b, low gloss index, and matte index (all P < 0.05). (iii) The results of multiple models show that the XGBoost-based depression recognition model, integrating the TCM “spirit-expression” diagnostic framework, achieved an accuracy of 98.61% and significantly outperformed four benchmark algorithms—DT, BernoulliNB, SVM, and KNN (P < 0.01). (iv) The SHAP visualization results show that in the recognition model constructed by the XGBoost algorithm, the complexion b value, categories of facial spirit, high gloss index, low gloss index, categories of facial expression and texture features have significant contribution to the model. Conclusion This study demonstrates that integrating TCM spirit-expression diagnostic features with machine learning enables the construction of a high-precision depression detection model, offering a novel paradigm for objective depression diagnosis.

Based on the interactive ritual chain theory， this paper deeply analyzed the interactive characteristics between doctors， patients， and their families in the palliative care environment， as well as explored the role of emotional resonance， symbolic representation， and situational creation in psychological support. It also sorted out four primary issues currently present in psychological support for palliative care patients， including insufficient recognition of caregivers regarding patients’ psychological needs， limited psychological intervention methods， inadequate psychological support capabilities among medical staff， and an imperfect family and social support system. On this basis， a five-dimensional psychological support mechanism was constructed， encompassing emotional resonance， situational creation， team collaboration， environment building， and technological application. This aimed to provide palliative care patients with comprehensive and continuous psychological intervention by optimizing doctor-patient interaction， strengthening emotional connection， improving physical environment， and utilizing information technology， thereby contributing to alleviating the psychological distress patients confront in the terminal stage and improving their life dignity and quality of life.

Alzheimer's disease (AD) is a progressive neurodegenerative disorder that seriously affects the health of the elderly, and the early diagnosis is crucial to slow down the progression of the disease. This review systematically examines the integrative applications of multimodal digital technologies in early AD identification, encompassing cognitive assessment, neuroimaging analysis, biomarker detection, and polygenic risk prediction, with the goal of enhancing diagnostic accuracy and operational efficiency. It was found that artificial intelligence-driven digital tools significantly improved screening efficiency by capturing subtle behavioral patterns and physiological signatures. Machine learning algorithms integrated with multimodal neuroimaging data optimize sensitivity in detecting structural brain abnormalities, while combinatorial analysis of digital biomarkers enables high-precision staging of AD pathology. Recent advancements highlight the critical role of digital technologies in facilitating multimodal biomarker integration and streamlining diagnostic workflows. The convergence of these innovative approaches provides a robust framework for early AD screening, offering patients accessible and efficient diagnostic pathways.

Thyroid-associated ophthalmopathy(TAO) is an organ-specific autoimmune disease closely related to hy-perthyroidism,but it may also be detected in chronic autoimmune thyroiditis patients with normal thyroid functions or hy-pothyroidism.The clinical manifestations of TAO are diverse,and the progression of the disease varies.Therefore,accu-rately assessing its activity and the extent of lesions is crucial for guiding clinical treatment.Imaging examinations play an important role in the clinical diagnosis and evaluation of TAO.Commonly used methods include computed tomography(CT)and magnetic resonance imaging(MRI).In this article,the current applications of CT and MRI to the evaluation of TAO were reviewed,aiming to assist clinicians in selecting appropriate imaging modalities for accurate disease staging and formulating more rational treatment strategies.

Objective:To explore the method of CT quantitative evaluation of silicosis fibrosis in artificial stone and analyze its correlation with the stage of chest X-ray and lung function impairment.Methods:The clinical data of 142 patients with artificial stone silicosis who were treated at Shanghai Pulmonary Hospital from January 2018 to December 2022 were collected. These patients were diagnosed based on GBZ 70-2015 Diagnosis of Occupational Pneumoconiosis and underwent chest X-rays, chest CT scans, and lung function tests within a two-month period. The chest CT scoring method is based on the CT characteristics of silicosis, including ground-glass shadows, small nodule shadows, point-line shadows/cord-line shadows, emphysema/pulmonary bullae and patch shadows/mass shadows, with a scoring range of 0 to 25 points. Lung function indicators included FVC, FEV 1 and DLco. For inter-group comparisons of normally distributed quantitative data, one-way ANOVA was employed with LSD post-hoc test for multiple comparisons. Chi-square test was used for multi-group ratio comparisons. Kruskal-Wallis H test was applied to non-normally distributed quantitative data, followed by LSD post-hoc test. Spearman's rank correlation was used to analyze the relationship between pulmonary function indicators and CT fibrosis scores, Trend test was conducted using the Pearson test. Results:As the silicosis stage progressed, both the CT fibrosis score ( R=0.87, Ptrend<0.001) and the degree of lung function impairment (FVC: R=-0.41, Ptrend<0.001; FEV 1: R=-0.52, Ptrend<0.001) ; DLco: R=-0.38, Ptrend<0.001) showed an increasing trend. The CT fibrosis Score demonstrated a strong positive correlation with silicosis stage ( rs=0.85, Ptrend<0.001) and a moderate negative correlation with FVC, FEV 1, and DLco ( rs=-0.48, -0.56, and -0.45, respectively, with all P<0.05) . Over an average follow-up period of 14 months, it was observed that changes in the CT score had a strong to moderate negative correlation with variations in FVC and FEV 1 ( rs=-0.63 and -0.52, P<0.05) . Additionally, there was a moderate negative correlation between ground glass opacity and DLco ( rs=-0.52, P<0.001) . Conclusion:The CT fibrosis score not only reflects pathological changes associated with artificial stone-related silicosis but also provides a more precise representation of lung function injury.

Objective:To explore the applicability and effectiveness of the "Hand as Foot" visual teaching method in bedside teaching of spinal surgical diseases, investigate its impact on enhancing student learning outcomes and clinical application abilities, and provide new directions and guidance for teaching methods.Methods:A total of 60 students from the five-year clinical medicine program enrolled in 2019 at Inner Mongolia Medical University were selected and randomly assigned to either an experimental group or a control group (30 students each) using a random number table. The teaching content covered bedside knowledge related to spinal surgery. The control group received traditional oral bedside teaching method, while the experimental group received the "Hand as Foot" visual teaching method. Both groups of students received eight 45-min bedside teaching sessions. After class, teaching effectiveness was evaluated through a theoretical knowledge examination and student classroom satisfaction was evaluated, including interest in learning, enthusiasm and participation, classroom activity, teacher-student interaction, and mastery of theoretical knowledge. SPSS 27.0 software was used for statistical analysis. Continuous variables were expressed as mean ± standard deviation and compared using the t-test; categorical variables were presented as numbers or percentages and compared using the chi-square test. Results:The experimental group scored (78.80±3.19) on the theoretical knowledge examination, while the control group scored (73.20±4.89), with a significant difference between the two groups ( t=3.72, P=0.001). In the classroom satisfaction survey, the experimental group also outperformed the control group in learning interest [(9.60±0.51) vs. (8.40±0.74)], enthusiasm and participation [(9.40±0.63) vs. (8.07±0.70)], classroom activity [(9.53±0.64) vs. (8.67±0.81)], teacher-student interaction [(9.53±0.52) vs. (8.33±0.72)], and mastery of theoretical knowledge [(8.60±0.91) vs. (7.20±0.77)], with all differences being statistically significant ( P<0.05). Conclusions:The "Hand as Foot" visual teaching method is suitable for bedside teaching of spinal diseases, allowing students to understand diseases more vividly. This method not only facilitates effective communication between teachers and students, enhances student understanding of relevant knowledge, and improves their confidence in learning, but also inspires a more proactive learning attitude.

Neurodegenerative diseases are a group of disorders characterized by chronic progressive degeneration of neurons in the brain and/or spinal cord.Their etiology remains unclear,the pathogenesis is complex,and no effective treatments exist.Importantly,the roles of mitochondria-localized silent information regulator(SIRT)family members,including SIRT3,SIRT4,and SIRT5,in neurodegenerative diseases are attracting increasing attention.Accumulating evidence demonstrates their involvement in critical processes of neuronal degeneration by regulating,for example,mitochondrial function and inflammatory responses.This review summarizes the research advances on mitochondrial SIRTs in neurodegenerative diseases such as Alzheimer's disease,Parkinson's disease,and amyotrophic lateral sclerosis,and aims to provide new insights for elucidating disease pathogenesis and developing prevention/therapeutic strategies.

Objective:To evaluate the feasibility, safety, and clinical outcomes of full-time full-endoscopic lumbar interbody fusion (FELIF) using a bladed retractor fusion channel (BRFC) system with reversed-mounting designed instruments compared to a tubular fusion channel (TFC).Methods:This retrospective study analyzed 101 cases of uniportal coaxial endoscopic lumbar interbody fusion performed between June 2018 and April 2023. Based on the type of fusion channel utilized, patients were divided into the TFC group (59 cases) and the BRFC group (42 cases). The BRFC technique involved neurological decompression, endplate preparation, and interbody fusion performed under full-time endoscopic monitoring with reversed-mounting designed instruments. Key parameters, including surgery duration, intraoperative estimated blood loss (IEBL), complication incidence, and interbody fusion rate (assessed by Bridwell criteria), were compared between the two groups. Clinical outcomes, including visual analog scale (VAS) scores for back and leg pain, Japanese Orthopaedic Association (JOA) scores, and Oswestry Disability Index (ODI), were recorded preoperatively, postoperatively, and at the final follow-up. Additionally, disc height at the fusion level was measured at one week postoperatively.Results:The mean follow-up duration was 42.9±12.1 months in the TFC group and 20.9±4.9 months in the BRFC group. No statistically significant differences were observed between the two groups in terms of surgery duration, IEBL, complication incidence, or interbody fusion rate (Grade 1 or 2 by Bridwell criteria) ( P>0.05). For single-level cases, the TFC group showed significantly better short-term clinical outcomes than the BRFC group at one week postoperatively, with JOA scores of 23(20, 25) versus 20(18, 23) ( Z=3.020, P=0.003) and ODI scores of 16%(11%, 21%) versus 28%(21%, 41%) ( Z=4.740, P<0.001). For double-level cases, the JOA score in the TFC group [23(20, 25)] was also significantly better than that in the BRFC group [20(18, 21)] ( Z=2.054, P=0.040) at one week postoperatively. However, at the final follow-up, all clinical indicators showed no significant differences between the two groups ( P>0.05). The disc height at the fusion level significantly increased at one week postoperatively compared to preoperative measurements in both groups ( P<0.05). However, the BRFC group demonstrated a significantly more recovery of disc height at one week postoperatively [(1.46±0.28) cm] compared to the TFC group [(1.17±0.20) cm] ( t=5.947, P<0.001). Conclusion:Full-time FELIF using the BRFC system and reversed-mounting designed instruments is a feasible, safe, and effective approach. However, its short-term clinical outcomes appear inferior to traditional FELIF using the TFC system.