By reviewing the physical biological research on the activation of acupoint effects by acupuncture， this paper explains the activation mechanism from the perspective of the generation and transmission of mechanical signals caused by acupuncture， and reveals the physical-chemical coupling processes in the acupoint microenvironment. Future research should focus on locally mechanosensitive cells， further exploring how acupuncture mechanical signals trigger dynamic changes in cells and molecules in the acupoints， and the physical-chemical information transduction mechanism， which will provide scientific evidence for the acupoint activation during acupuncture. Related studies will contribute to a deeper understanding of the scientific principles behind acupuncture and promote its clinical application and development.

ObjectiveTo observe the effect of M1 bone marrow-derived macrophages （M1-BMDM） with Wnt5a knockdown on liver fibrosis and regeneration in a rat model of liver cirrhosis， and to investigate its gain-of-function effect compared with unmodified M1-BMDM. MethodsPrimary bone marrow-derived macrophages were isolated from rats and were polarized to M1 phenotype to construct M1-BMDM^Wnt5a-KD cells. A rat model of liver cirrhosis induced by CCl₄/2-AAF was established， and at the end of week 8， rats were randomly divided into model group， M1-BMDM group， M1-BMDM Wnt5a-knockdown empty vector group （M1-BMDM^KD-EV group）， and M1-BMDM Wnt5a-knockdown group （M1-BMDM^Wnt5a-KD group）， with 6 rats in each group. On the first day of week 9， the rats in each group were given a single injection of the corresponding cells via the caudal vein， along with an intraperitoneal injection of a CCR2 inhibitor. Six rats without any treatment were used as normal control group. Samples were collected at the end of week 12 to assess liver histopathology， serum liver function parameters， hepatic stellate cell activation， and the expression levels of mature hepatocyte markers. A one-way analysis of variance was used for comparison of continuous data between multiple groups， and the least significant difference t-test was used for further comparison between two groups. ResultsCompared with the model group， all cell treatment groups had significant alleviation of liver inflammatory response and significant reductions in the activities of alanine aminotransferase and aspartate aminotransferase （AST） in serum （all P<0.01）， and the M1-BMDM^Wnt5a-KD group had a significantly lower serum level of AST than the M1-BMDM group （P<0.05）. The semi-quantitative analysis based on immunohistochemical staining showed that compared with the model group， all cell treatment groups had a significant reduction in the percentage of CD68-positive area （all P<0.05）， and compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had a significant reduction in the percentage of CD68-positive area and a significant increase in the percentage of CD163-positive area （both P<0.05）. Compared with the model group， all cell treatment groups had significant reductions in the mRNA expression levels of CD68 and tumor necrosis factor-α （all P<0.05） and the protein expression level of CD68 （all P<0.01）； compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significant increases in the protein and mRNA expression levels of CD163 （both P<0.05）， significant reductions in the protein and mRNA expression levels of CD68 （both P<0.05）， and a significant reduction in the protein expression level of tumor necrosis factor-α （P<0.01）. Sirius Red collagen staining and alpha-smooth muscle actin （α-SMA） immunohistochemical staining showed that compared with the model group， all cell treatment groups had significant alleviation of liver collagen deposition and α-SMA-positive area， with the most significant changes in the M1-BMDM^Wnt5a-KD group， and compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significantly smaller Sirius Red-positive area and α-SMA-positive area and a significantly lower content of hydroxyproline in liver tissue （all P<0.05）. Compared with the M1-BMDM^KD-EV group， the M1-BMDM^Wnt5a-KD group had significant reductions in the protein and mRNA expression levels of α-SMA and the mRNA expression level of COL-I and TGF-β （all P<0.05）. Compared with the model group， all cell treatment groups had a significant increase in the protein expression level of HNF-4α in liver tissue （all P<0.05）， and the M1-BMDM^Wnt5a-KD group had significantly higher protein and mRNA expression levels of HNF-4α and hepatocyte specific antigen than the M1-BMDM^KD-EV group （both P<0.05）. The M1-BMDM^Wnt5a-KD group had a significantly higher serum level of albumin than the M1-BMDM^KD-EV group （P<0.01）. Immunofluorescence co-staining showed that compared with the model group， all cell treatment groups had a significant increase in the number of cells stained positive for HNF and HNF-4α and Ki67 （all P<0.01）， and the M1-BMDM^Wnt5a-KD group had a significantly higher number of such cells than the M1-BMDM^KD-EV group （P<0.05）. ConclusionInhibition of Wnt5a expression enhances the therapeutic effect of M1-BMDM on rats with liver cirrhosis induced by CCl₄/2-AAF， which provides new ideas for enhancing the anti-cirrhotic effect of M1-BMDM through genetic modification.

Due to advances in treatment methods, the survival rate and quality of life of cancer patients have been improved. Radiation-induced vascular injury (RIVI) is a common adverse reaction following radiotherapy, mainly manifested as capillary injury and atherosclerosis in the irradiated area. Radiotherapy induces RIVI in the cerebral vessels, carotid arteries, coronary arteries, and large arteries through mechanisms such as endothelial cell injury and senescence, oxidative stress and inflammatory responses, angiogenesis, and vascular remodeling. In this review research progress in the pathological features, pathophysiological mechanisms, clinical manifestations, prevention and treatment strategies of RIVI was summarized, aiming to provide insights for future research on RIVI.

Traditional scientific research management suffers from problems such as scattered archives,lack of effective dynamic process supervision for projects,weak data analysis capabilities,and low sharing,making it difficult to meet the unified management of multiple hospital areas in medical groups and the independent management of each branch.The group has devel-oped an intelligent scientific research management system based on artificial big data by constructing the framework and designing the content of various demand modules for scientific research management.This system achieves full coverage management of sci-entific research activities,designing interrelated information data networks for scientific research project process management,a-chievement management,academic(specialized)construction management,postdoctoral management,etc.,realizing informa-tionization and refined management of multiple campuses within the group.Analyze the technological values of each hospital,de-partment,and personnel to provide powerful reference for decision-makers.The information-based scientific research manage-ment system is an important guarantee for hospital groups to intelligently manage and efficiently carry out scientific research work.

Objective:To investigate the application of the conjugate gradient (CG) algorithm to treatment plan optimization for intensity-modulated brachytherapy (IMBT).Methods:The general Monte Carlo software TOPAS was utilized to simulate the 192Ir source of IMBT, and the unit dose contribution matrix was calculated. An objective function was established using the weighted least squares method and was solved using the CG algorithm to achieve optimized IMBT treatment plans. The optimization was validated using five clinical cervical cancer cases under modulation width 60°. The dose distributions of IMBT treatment plans under 45°, 60°, 90°, 120°, and 180° modulation widths were compared using the Wilcoxon test to determine the optimal IMBT treatment plan for cervical cancer treatment. Results:The CG algorithm successfully optimized IMBT treatment plans under modulation width 60° for five cases within 22.2 s on average. On the premise of sufficient target dose coverage, the average D2 cm 3 values of the bladder and rectum in IMBT treatment plans were 3.66 and 1.97 Gy, respectively, representing reductions of 0.54 and 0.69 Gy compared to traditional brachytherapy plans. For the five modulation widths, the D90% values of all IMBT treatment plans reached 6 Gy, without statistically significant differences ( P > 0.05). The average D2 cm 3 values of the bladder in IMBT treatment plans were significantly lower than those in the traditional brachytherapy plans( P<0.05), with modulation width 60° associated with the greatest reduction of 0.61 Gy. In contrast, the average D2 cm 3 values of the rectum under 45°, 60°, and 90° modulation widths decreased by 0.63, 0.54, and 0.45 Gy, respectively, compared to traditional plans, with statistically significant differences( P<0.05). Conclusions:The CG method enables rapid achievement of optimized IMBT treatment plans that meet clinical requirements, and modulation width 60° contributes to valid dosimetric optimization. This study can serve as a guide for the clinical implementation of IMBT.

Objective:To investigate and validate the performance of a dosiomics model that utilized 3D dose distribution to forecast radiation-induced temporal lobe injury (RTLI) in nasopharyngeal carcinoma (NPC) patients following intensity-modulated radiotherapy (IMRT).Methods:Clinical data of 3578 patients diagnosed with NPC admitted to Jiangsu Cancer Hospital from January 2011 to December 2021 were retrospectively analyzed. According to the inclusion and exclusion criteria, 97 NPC patients who developed RTLI were assigned into the case group. A 1:1 propensity score matching (PSM) method was used to match 97 NPC patients without RTLI as the control group. Patients were assigned into the training cohort ( n=135) and the validation cohort ( n=59) at a 7:3 ratio by simple random method. Dosiomics features were extracted from the patients' three-dimensional dose distribution maps. Spearman rho and the least absolute shrinkage and selection operator regression were used to select dosiomics features. Clinical features were collected and screened by univariate and multivariate analyses. Eight machine learning classifiers were then trained to build dosiomics models and clinical models, respectively. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to compare the predictive performance of the dosiomics and clinical models. Multivariate analysis was conducted using logistic regression to assess the influencing factors, while comparisons of the ROC curves between two different models were performed using the DeLong test. Results:A total of 1130 dosiomics features were extracted from the three-dimensional dose distribution maps, and 14 features were retained for model building after feature selection. The model based on the support vector machine (SVM) classifier achieved the highest AUC value of 0.977 (95% CI: 0.949-1.000) in the validation cohort, with an AUC of 1.000 (95% CI: 1.000-1.000) in the training cohort. By conducting univariate and multivariate analyses of the patients' clinical features, 2 clinical features were retained to build the clinical model. The model based on the SVM classifier achieved the optimal AUC value of 0.667 (95% CI: 0.523-0.810) in the validation cohort, with an AUC of 0.804 (95% CI: 0.730-0.878) in the training cohort. DeLong test showed that the difference between the dosiomics and clinical models was statistically significant ( P<0.05). Conclusion:The dosiomics model based on 3D dose distribution yields high predictive performance for RTLI in NPC patients after IMRT, which surpasses the clinical feature model, providing a new approach for early clinical prediction of RTLI.

Due to advances in treatment methods, the survival rate and quality of life of cancer patients have been improved. Radiation-induced vascular injury (RIVI) is a common adverse reaction following radiotherapy, mainly manifested as capillary injury and atherosclerosis in the irradiated area. Radiotherapy induces RIVI in the cerebral vessels, carotid arteries, coronary arteries, and large arteries through mechanisms such as endothelial cell injury and senescence, oxidative stress and inflammatory responses, angiogenesis, and vascular remodeling. In this review research progress in the pathological features, pathophysiological mechanisms, clinical manifestations, prevention and treatment strategies of RIVI was summarized, aiming to provide insights for future research on RIVI.

Objective:To investigate the relationship between different states of cardiac function and their changes during the course of diabetic foot ulcers(DFU), and to evaluate their impact on patient prognosis.Methods:A retrospective analysis was conducted on 194 DFU patients who were rehospitalized at approximately 3-month intervals. Basic clinical data and cardiac function-related indicators were collected at baseline and follow-up. Patients were followed until death or until November 10, 2024. Outcomes including ulcer healing, recurrence, minor amputation, and death were recorded. Logistic regression models were used to analyze the effects of cardiac function status and its changes on these four outcomes. Results:After treatment, the proportion of patients with NYHA class Ⅱ-Ⅲ decreased significantly from 33.5% at baseline to 21.6%( P=0.009). Serum N-terminal pro-B-type natriuretic peptide(NT-proBNP) level also decreased after treatment compared with baseline [635.85(59.83, 453.28) pg/mL vs 728.67(81.48, 696.15) pg/mL, P=0.055]. Serum NT-proBNP level was significantly higher in the death group compared to the survival group( P=0.002). The proportion of DFU patients with baseline NYHA class Ⅱ-Ⅲ was significantly higher than that in those with class Ⅰ( P=0.012). Regression analysis showed that an improvement in NT-proBNP levels was associated with a lower risk of DFU recurrence( OR=0.378, 95% CI 0.183-0.779, P=0.008), and improvement in NYHA class was associated with a lower mortality risk( OR=0.074, 95% CI 0.020-0.275, P<0.001). Conclusion:Cardiac function status and its changes during the treatment of DFU patients have strong prognostic implications, particularly in predicting the risk of recurrence and death outcomes.

Visfatin,also known as nicotinamide phosphoribosyl transferase(NAMPT)or pre-B-cell colony-enhancing factor,is a proinflam-matory adipokine.Its immunomodulatory effects are closely associated with its pro-inflammatory activity,influencing the secretion of vari-ous cytokines and the function of immune cells.Visfatin exerts pro-tumorigenic effects in most cancers.The tumor immune microenviron-ment(TIME)comprises immune cells within the tumor tissue and an array of secreted cytokines.Growing evidence suggests that visfatin plays a regulatory role in the TIME by promoting inflammatory responses and modulating the polarization of immune cells,their secretory functions,surface protein expression,and energy metabolism,thereby influencing cancer progression.These newly discovered mechanisms provide a critical foundation for the application of NAMPT inhibitors(NAMPTi)in cancer immunotherapy.This review summarizes recent ad-vances in understanding the role of visfatin in tumor immunology and explores the therapeutic potential of NAMPTi in oncology.

Traditional scientific research management suffers from problems such as scattered archives,lack of effective dynamic process supervision for projects,weak data analysis capabilities,and low sharing,making it difficult to meet the unified management of multiple hospital areas in medical groups and the independent management of each branch.The group has devel-oped an intelligent scientific research management system based on artificial big data by constructing the framework and designing the content of various demand modules for scientific research management.This system achieves full coverage management of sci-entific research activities,designing interrelated information data networks for scientific research project process management,a-chievement management,academic(specialized)construction management,postdoctoral management,etc.,realizing informa-tionization and refined management of multiple campuses within the group.Analyze the technological values of each hospital,de-partment,and personnel to provide powerful reference for decision-makers.The information-based scientific research manage-ment system is an important guarantee for hospital groups to intelligently manage and efficiently carry out scientific research work.