BACKGROUND:The pathogenesis of osteoporosis is closely related to the immune system.A comprehensive and in-depth study of the relationship between immunity and osteoporosis is crucial for understanding and treating the disease.OBJECTIVE:To investigate the role of immune cells in osteoporosis using single-cell sequencing technology.METHODS:Femoral head tissue samples from osteoporosis and non-osteoporosis patients were downloaded from GEO database and analyzed using single-cell sequencing.Data analysis,including cell clustering,functional enrichment,pseudotime trajectory,and cell interaction analyses,was performed using R4.3.0 and software packages such as Seurat v.4.3,monocle(2.28.0),and CellChat.The femoral head tissues of patients with femoral neck fracture who underwent artificial hip replacement surgery were obtained,including two cases of osteoporosis patients and two cases of non-osteoporosis patients.Immunohistochemical staining was used to detect the protein expression of CCL13 and CCL18.qPCR was used to detect the immunoglobulin heavy constant γ-4,immunoglobulin λ constant 3,human class Ⅱ major histocompatibility complex DRβ1,and CD83 mRNA expression.Western blot was used to detect the protein expression of receptor-type tyrosine protein phosphatase C,CD22,and CD99.RESULTS AND CONCLUSION:Transcriptomic analysis identified 10 cell clusters,including osteoclasts,myeloid cells,T cells,osteoblasts,macrophages,monocytes,erythrocytes,B cells,bone marrow mesenchymal stem cells,and mast cells.There was an increase in the ratio of osteoclasts to T cells and a decrease in the ratio of osteoblasts to B cells in the femoral head tissue of the osteoporosis group.Among the B-cell subpopulations,the proportion of B-cells of taxa 1,3(BC1,BC3)in the femoral head tissue of the osteoporosis group was higher than that of the non-osteoporosis group,and the proportion of B-cells of taxa 2(BC2)was less than that of the non-osteoporosis group.BC1 was enriched significantly for labels such as regulation of adaptive immune response,somatic recombination of immune receptors,and modulation of lymphocyte-mediated immunity,while BC3 was enriched significantly for labels such as regulation of immunoglobulin production,response to type Ⅱ interferon,apoptotic processes involving cysteine endopeptidases,and cytotoxicity.The communication intensity between B-cell subtype BC1 and osteoblasts in the femoral head tissue of the osteoporosis group was higher than that of the non-osteoporosis group,while the communication intensity between BC3 and BC1 was also increased.The communication between BC3 and BC1 was significantly enriched in the CD22-receptor-type tyrosine protein phosphatase C pathway;the communication between BC1 and osteoblasts was mainly enriched in the CD99-CD99 pathway;and the communication between BC3 and osteoblasts was also highly enriched in the CD99-CD99 pathway.Protein expression of CCL13,CCL18,receptor-type tyrosine protein phosphatase C,CD22,CD99,immunoglobulin heavy constant γ-4,immunoglobulin λ constant 3,human class Ⅱ major histocompatibility complex DRβ1,and CD83 mRNA were higher in femoral tissues of the osteoporosis group than those of the non-osteoporosis group(P＜0.05).To conclude,specific B cell subpopulations can influence the differentiation and apoptosis of osteoblasts in the femoral tissue of osteoporosis patients.

Objective:To explore the application effect of 3D technology-assisted teaching based on "four-in-one" flipped classroom in clinical teaching of neurosurgery, and provide a basis for optimizing the medical education mode.Methods:A total of 50 students from the Second Clinical College were selected between June 2020 and June 2024, including eight-year program medical students and postgraduate neurosurgery students. The control group ( n=25) received the conventional teaching mode. The experimental group ( n=25) was taught using the "four-in-one" flipped classroom combined with 3D technology, including characteristic textbooks with 3D model drawings, Internet platforms (video libraries and virtual simulation modules), mobile interactive terminals (real-time question and answer), and virtual simulation technology. Effectiveness was evaluated through theoretical assessment (e.g., neuroanatomy and clinical application ability, with a total score of 100 points), operational assessment (e.g., surgical design and aseptic concept, with a total score of 100 points), and a teaching quality questionnaire. Independent samples t-test was conducted using SPSS 22.0. Results:The total score of theoretical assessment was higher in the experimental group than that in the control group [(86.52±5.21) vs. (73.56±6.32), P<0.001], with the largest difference observed in case analysis questions [(26.03±3.65) vs. (22.22±3.50), P=0.001]. In the operational assessment, the experimental group performed better in "surgical process design" [(26.30±4.14) vs. (21.44±3.45), P<0.001] and "aseptic concept" [(8.18±0.98) vs. (6.64±0.79), P<0.001]. The teaching quality questionnaire showed that the experimental group scored higher in "clinical practice skill enhancement" [(23.13±1.39) vs. (21.45±1.86), P=0.001] and "self-directed learning motivation" [(21.84±1.60) vs. (19.75±1.45), P<0.001]. Conclusions:The combination of "four-in-one" flipped classroom and 3D technology can significantly improve the teaching effectiveness of neurosurgery, especially in the cultivation of clinical thinking and practical abilities. This approach is worth promoting.

BACKGROUND:The pathogenesis of osteoporosis is closely related to the immune system.A comprehensive and in-depth study of the relationship between immunity and osteoporosis is crucial for understanding and treating the disease.OBJECTIVE:To investigate the role of immune cells in osteoporosis using single-cell sequencing technology.METHODS:Femoral head tissue samples from osteoporosis and non-osteoporosis patients were downloaded from GEO database and analyzed using single-cell sequencing.Data analysis,including cell clustering,functional enrichment,pseudotime trajectory,and cell interaction analyses,was performed using R4.3.0 and software packages such as Seurat v.4.3,monocle(2.28.0),and CellChat.The femoral head tissues of patients with femoral neck fracture who underwent artificial hip replacement surgery were obtained,including two cases of osteoporosis patients and two cases of non-osteoporosis patients.Immunohistochemical staining was used to detect the protein expression of CCL13 and CCL18.qPCR was used to detect the immunoglobulin heavy constant γ-4,immunoglobulin λ constant 3,human class Ⅱ major histocompatibility complex DRβ1,and CD83 mRNA expression.Western blot was used to detect the protein expression of receptor-type tyrosine protein phosphatase C,CD22,and CD99.RESULTS AND CONCLUSION:Transcriptomic analysis identified 10 cell clusters,including osteoclasts,myeloid cells,T cells,osteoblasts,macrophages,monocytes,erythrocytes,B cells,bone marrow mesenchymal stem cells,and mast cells.There was an increase in the ratio of osteoclasts to T cells and a decrease in the ratio of osteoblasts to B cells in the femoral head tissue of the osteoporosis group.Among the B-cell subpopulations,the proportion of B-cells of taxa 1,3(BC1,BC3)in the femoral head tissue of the osteoporosis group was higher than that of the non-osteoporosis group,and the proportion of B-cells of taxa 2(BC2)was less than that of the non-osteoporosis group.BC1 was enriched significantly for labels such as regulation of adaptive immune response,somatic recombination of immune receptors,and modulation of lymphocyte-mediated immunity,while BC3 was enriched significantly for labels such as regulation of immunoglobulin production,response to type Ⅱ interferon,apoptotic processes involving cysteine endopeptidases,and cytotoxicity.The communication intensity between B-cell subtype BC1 and osteoblasts in the femoral head tissue of the osteoporosis group was higher than that of the non-osteoporosis group,while the communication intensity between BC3 and BC1 was also increased.The communication between BC3 and BC1 was significantly enriched in the CD22-receptor-type tyrosine protein phosphatase C pathway;the communication between BC1 and osteoblasts was mainly enriched in the CD99-CD99 pathway;and the communication between BC3 and osteoblasts was also highly enriched in the CD99-CD99 pathway.Protein expression of CCL13,CCL18,receptor-type tyrosine protein phosphatase C,CD22,CD99,immunoglobulin heavy constant γ-4,immunoglobulin λ constant 3,human class Ⅱ major histocompatibility complex DRβ1,and CD83 mRNA were higher in femoral tissues of the osteoporosis group than those of the non-osteoporosis group(P＜0.05).To conclude,specific B cell subpopulations can influence the differentiation and apoptosis of osteoblasts in the femoral tissue of osteoporosis patients.

ObjectiveBased on ultra performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， the combination of serum pharmacochemistry， response profile of absorbed components in serum， network pharmacology and drug-likeness prediction was used to screen the potential active ingredients of Yanghetang against breast cancer. MethodsUPLC-Q-TOF-MS/MS was used to identify the main components in different solvent extracts of Yanghetang， and serum pharmacochemistry was applied to analyze the absorbed components from the serum of female SD rats after 0.5， 1， 2 h of administration. Combined with the response characteristic values of serum drug components obtained from UNIFI 1.8.2， the absorbed prototype components and metabolites were screened to get the absorbed components of Yanghetang with a significant patterns of elimination and growth. Network pharmacology was applied to construct a drug-component-pathway-target-disease network， and molecular docking was performed between absorbed components and key targets of breast cancer， and the drug similarity was analyzed by SwissADME. ResultsForty-two compounds were identified in Yanghetang samples extracted with different solvents， of which 16 compounds were common to the three different extraction solvents（methanol， 50% methanol and water）. The results of drug-containing serum analysis showed that there were 16 absorbed components in serum， including 5 prototypes and 11 metabolites. Network pharmacology results showed that Yanghetang against breast cancer involved 15 key targets such as proto-oncogene tyrosine-protein kinase Src（SRC）， epidermal growth factor receptor（EGFR） and phosphoinositide 3 kinase catalytic alpha polypeptide（PIK3CA）. Molecular docking results showed that 16 potential active ingredients were well combined with the predicted targets. Combined with drug likenesses， 12 compounds in the absorbed components of Yanghetang were considered to have potential for anti-breast cancer activity， mainly including α-pinene and γ-eudesmol and their metabolites， of which one was from Ephedrae Herba， one was from Rehmanniae Radix， and eight were from Cinnamomi Cortex. ConclusionThe chemical components of Yanghetang mainly include polysaccharides， monoterpene glycosides and coumarins， and its prototype components mainly undergo oxidation， hydrolysis and acetylation after entering the blood. Its anti-breast cancer mechanism may be related to the regulation of signaling pathways such as the mitogen-activated protein kinase（MAPK） and phosphatidylinositol 3-kinase/protein kinase B（PI3K/Akt）. The results of this study can lay a foundation for further exploration of Yanghetang in the treatment of breast cancer.

This study summarizes Professor Qin Zhenhua's clinical experience in treating cutaneous pruritus using a modified self-prescribed formula,Yinqiao Xingzi Decoction.Following the viewpoints from the classical Chinese medical literature and after years of clinical practice,Professor Qin proposes that the onset of cutaneous pruritus is often associated with the attack of exogenous pathogens,disharmony of qi and blood,or debility due to prolonged illness.The disease primarily involves the skin,with the fundamental pathogenesis of pathogens stagnating in the muscular superficies.Clinically,the treatment is frequently conducted from the perspective of fire-heat syndrome,and the therapeutic methods of clearing heat and removing toxins,releasing muscles and dispersing pathogens from the superficies,and dispelling wind to relieve itching are utilized.The approaches aim to cool heat in the blood,expel pathogens from the muscular layer,eliminate heat for stopping itching,and extinguish wind for calming the skin.The basic prescription,Yinqiao Xingzi Decoction(composed of Lonicerae Japonicae Flos,Forsythiae Fructus,Armeniacae Semen Amarum,Arnebiae Radix,Tribuli Fructus,Dictamni Cortex,Kochiae Fructus,and Glycyrrhizae Radix et Rhizoma),is used by modification depending on the predominance of pathogenic factors of wind,heat,dryness,or dampness-toxins,and according to the various syndromes like blood-heat,yin deficiency,or qi-blood deficiency.Yinqiao Xingzi Decoction is applicable to cutaneous pruritus with the most of clinical common syndrome types,but it is unsuitable for cases caused by yang deficiency or qi stagnation with blood stasis.

This article is based on modern psychology and TCM emotional theory,combined with facial expression recognition technology,to apply deep learning methods to the digital research of TCM emotions to more accurately capture and analyze patients'emotional states.A cross-disciplinary framework was established by synthesizing facial expression-emotion correlations from psychological and TCM perspectives.The methodology included:Data annotation of TCM-defined emotional expressions using standardized coding systems;Facial expression acquisition,spatiotemporal feature extraction and emotion classification through a 3D convolutional neural network(3D CNN).The framework achieved 91.43%accuracy in video-based emotion classification.High-arousal emotional states demonstrated superior recognition performance,with anger showing optimal recall(1.000 0)and F1-score(0.946 3),while surprise attained the highest precision(0.976 0).These findings aligned with TCM pathological characteristic of"anger induces qi ascending,surprise disrupts qi flow".The digital recognition framework for TCM emotional quantification based on facial expression recognition technology exhibits strong alignment with TCM observation diagnosis,providing clinicians with an objective tool to assess the"seven emotions"and elucidating emotion-facial correlations in classical TCM theory.Future research should focus on longitudinal validation across diverse populations and establish development pathways for AI-assisted TCM diagnostic systems.

Objective:To explore the application effect of 3D technology-assisted teaching based on "four-in-one" flipped classroom in clinical teaching of neurosurgery, and provide a basis for optimizing the medical education mode.Methods:A total of 50 students from the Second Clinical College were selected between June 2020 and June 2024, including eight-year program medical students and postgraduate neurosurgery students. The control group ( n=25) received the conventional teaching mode. The experimental group ( n=25) was taught using the "four-in-one" flipped classroom combined with 3D technology, including characteristic textbooks with 3D model drawings, Internet platforms (video libraries and virtual simulation modules), mobile interactive terminals (real-time question and answer), and virtual simulation technology. Effectiveness was evaluated through theoretical assessment (e.g., neuroanatomy and clinical application ability, with a total score of 100 points), operational assessment (e.g., surgical design and aseptic concept, with a total score of 100 points), and a teaching quality questionnaire. Independent samples t-test was conducted using SPSS 22.0. Results:The total score of theoretical assessment was higher in the experimental group than that in the control group [(86.52±5.21) vs. (73.56±6.32), P<0.001], with the largest difference observed in case analysis questions [(26.03±3.65) vs. (22.22±3.50), P=0.001]. In the operational assessment, the experimental group performed better in "surgical process design" [(26.30±4.14) vs. (21.44±3.45), P<0.001] and "aseptic concept" [(8.18±0.98) vs. (6.64±0.79), P<0.001]. The teaching quality questionnaire showed that the experimental group scored higher in "clinical practice skill enhancement" [(23.13±1.39) vs. (21.45±1.86), P=0.001] and "self-directed learning motivation" [(21.84±1.60) vs. (19.75±1.45), P<0.001]. Conclusions:The combination of "four-in-one" flipped classroom and 3D technology can significantly improve the teaching effectiveness of neurosurgery, especially in the cultivation of clinical thinking and practical abilities. This approach is worth promoting.

This article is based on modern psychology and TCM emotional theory,combined with facial expression recognition technology,to apply deep learning methods to the digital research of TCM emotions to more accurately capture and analyze patients'emotional states.A cross-disciplinary framework was established by synthesizing facial expression-emotion correlations from psychological and TCM perspectives.The methodology included:Data annotation of TCM-defined emotional expressions using standardized coding systems;Facial expression acquisition,spatiotemporal feature extraction and emotion classification through a 3D convolutional neural network(3D CNN).The framework achieved 91.43%accuracy in video-based emotion classification.High-arousal emotional states demonstrated superior recognition performance,with anger showing optimal recall(1.000 0)and F1-score(0.946 3),while surprise attained the highest precision(0.976 0).These findings aligned with TCM pathological characteristic of"anger induces qi ascending,surprise disrupts qi flow".The digital recognition framework for TCM emotional quantification based on facial expression recognition technology exhibits strong alignment with TCM observation diagnosis,providing clinicians with an objective tool to assess the"seven emotions"and elucidating emotion-facial correlations in classical TCM theory.Future research should focus on longitudinal validation across diverse populations and establish development pathways for AI-assisted TCM diagnostic systems.

Objective:To report the clinical efficacy of adjuvant therapy based on pathological results following immunotherapy combined with targeted therapy and sequential curative surgical procedures in patients with initially unresectable hepatocellular carcinoma.Methods:This is a retrospective case series study. Data from 100 patients who underwent adjuvant therapy based on pathological results following immunotherapy combined with targeted therapy and sequential curative surgical procedures with long-term survival were collected from December 2018 to December 2022 at the Faculty of Hepato-Pancreato-Biliary Surgery, First Medical Center, Chinese People′s Liberation Army General Hospital. According to inclusion and exclusion criteria, 47 cases were included, among which patients who met the discontinuation criteria and maintained a drug-free tumor-free status. Thirty-nine male and eight female patients were included, with an age of (54.2±18.8)years(range:38 to 73 years) at initial diagnosis. At the time of initial diagnosis, 43 cases (91.5%) were classified as Barcelona Clinic Liver Cancer stage C. Survival curves were made using Kaplan Meier method.Results:Forty-seven patients underwent R0 resection, all achieved a drug-free tumor-free state through postoperative adjuvant therapy based on pathological examination results. Thirty-six patients(76.6%) maintained a drug-free tumor-free survival status for more than 6 months,28 patients(59.6%) for more than 12 months,and 8 patients(17.0%) for more than 24 months. The longest drug-free tumor-free survival in this cohort reached 48 months. The median follow-up time in this study was 32 months. After diagnosis, the overall survival rates at 1- and 3- years were 97.7%(95% CI:93.4% to 100%) and 90.7%(95% CI:82.5% to 99.8%). The postoperative recurrence-free survival rates at 1- and 3- years were 91.0%(95% CI:83.0% to 99.8%) and 71.3%(95% CI:58.7% to 86.5%). Conclusions:The adjuvant therapy based on pathological results following immunotherapy combined with targeted therapy and sequential curative surgical approach provides long-term survival benefits for patients with initially unresectable hepatocellular carcinoma. Standardized adjuvant therapy maybe sustain long-term tumor-free status,and achieve drug-free tumor-free survival.

Objective:To assess the long-term outcome of sequential radical surgery after immune combined with targeted therapy for patients with initially unresectable hepatocellular carcinoma (HCC).Methods:Clinical data of 100 patients with initially unresectable HCC undergoing sequential radical surgery after immune combined with targeted therapy at the Faculty of Hepato-Pancreato-Biliary Surgery of Chinese PLA General Hospital from December 2018 to August 2023 were prospectively collected, including 87 males and 13 females, with a median age of 55 (24-73) years. The pre-treatment tumor staging was determined using the China liver cancer staging (CNLC). The efficacy of immune combined with targeted therapy was accessed using the modified response evaluation criteria in solid tumor (mRECIST). The cycles of immune combined with targeted therapy were analyzed. The tumor residual of resected tissue was analyzed through a standard pathological protocol. The prognosis was analyzed using the Kaplan-Meier method.Results:Upon initial diagnosis, there were 46 cases (46.0%) staged CNLC-Ⅲa and 40 (40.0%) staged CNLC-Ⅲb. There were also 14 cases (14.0%) staged CNLC-Ⅰb, Ⅱa, and Ⅱb who underwent immune combined with targeted therapy due to rupture of tumor or insufficient liver remnant. All patients received a median of 5 (3-28) cycles of immune combined with targeted therapy and underwent radical surgery after successful conversion. According to mRECIST, 14 (14.0%) were determined as complete remission, 63 (63.0%) as partial remission, 18 (18.0%) as stable disease, and 5 (5.0%) as disease progression. Of 24 (24.0%) were defined as pathologically complete remission by postoperative pathology. Furthermore, pathological tumor residue was less than 10% in 61 (61.0%) cases and less than 50% in 82 (82.0%) cases. The 1, 3, and 5 year-overall survival rates of patients were 98.0%, 83.1%, and 74.5%, respectively. The 1, 2 and 3 year-recurrence-free survival rates were 67.5%, 54.8%, and 49.6%, respectively.Conclusion:Sequential radical surgery after immune combined with targeted therapy benefits the long-term survival of patients with initially unresectable HCC.