One case of multi-dimensional cervical disorder was diagnosed and treated using jingjin (sinew/muscle) theory. According to the patient's symptoms, guided by jingjin theory, this case was diagnosed as the jingjin (muscle region) disorder of foot-taiyang. On the distribution of the muscle region of foot-taiyang, the distal junctions of the muscle region, Kunlun (BL60) and Feiyang (BL58), as well as the knotted sites, Wangu (GB12), Tianzhu (BL10) and Cuanzhu (BL2) were the keys in the distal acupuncture technique along meridian. After three treatments, the movement of neck region was recovered, the foreign body sensation while swallowing and the discomforts in the supraclavicular fossa disappeared.
Humans ; Acupuncture Points ; Acupuncture Therapy ; Meridians ; Cervical Vertebrae/pathology*

Sonodynamic therapy (SDT) can potentially induce immunogenic cell death in tumor cells, leading to the release of ATP, and facilitating the initiation of an immune response. Nevertheless, the enzymes CD39 and CD73 can swiftly convert ATP into immunosuppressive adenosine (ADO), resulting in an immunosuppressive tumor microenvironment (TME). This study introduced a nanomedicine (QD/POM1@NP@M) engineered to reprogram TME by modulating the CD39/CD73/ADO pathway. The nanomedicine encapsulated sonosensitizers silver sulfide quantum dots, and the CD39 inhibitor POM1, while also incorporating homologous tumor cell membranes to enhance targeting capabilities. This integrated approach, on the one hand, stimulates the release of ATP via SDT, thereby initiating the immune response. In addition, it reduced the accumulation of ADO by inhibiting CD39 activity, which ameliorated the immunosuppressive TME. Upon administration, the nanomedicine demonstrated substantial anti-tumor efficacy by facilitating the infiltration of anti-tumor immune cells, while reducing the immunosuppressive cells. This modulation effectively transformed the TME from an immunologically "cold" state to a "hot" state. Furthermore, combined with the checkpoint inhibitor α-PDL1, the nanomedicine augmented systemic anti-tumor immunity and promoted the establishment of long-term immune memory. This study provides an innovative strategy for combining non-invasive SDT and ATP-driven immunotherapy, offering new ideas for future cancer treatment.

Objective:To analyze the breast cancer-related parameters and the ultrasonic features of positive axillary lymph nodes,to discuss the risk factors for axillary lymphnode metastatic burden,and to provide basis for preoperative evaluation of breast cancer patients.Methods:The ultrasonic and clinicopathological data of 574 breast cancer patients with axillary lymph node metastasis confirmed by surgery and pathology were retrospectively analyzed.According to the status of axillary lymphnode metastasis,the patients were divided into low nodal burden(LNB)group(n=283)and high nodal burden(HNB)group(n=291).The affected side,tumor quadrant,distance to skin,maximum diameter,internal echogenicity,shape,margin,calcification,blood supply,posterior echo,lymphnode long diameter,lymphnode short diameter,lymphnode aspect ratio,number of suspicious metastases,intranodal blood supply,lymphnode hilum morphology,age,pathological type,histological grade,molecular subtype,and the expressions of estrogen receptor(ER),progesterone receptor(PR),Ki-67,human epidermal growth factor receptor 2(HER2),and P53 were compared between two groups.Logistic regression was used to analyze the risk factors for axillary lymph node metastatic burden in the breast cancer patients;receiver operating characteristic(ROC)curve and area under the curve(AUC)were used to evaluate the predictive value.Results:The univariate analysis results showed that there were statistically significant differences in tumor quadrant,distance to skin,molecular subtype,HER2 positive expression,lymphnode long diameter,lymph node short diameter,lymph node aspect ratio,number of suspicious metastases,and lymphnode hilum morphology between two groups(P<0.05).The multivariate Logistic regression analysis results showed that tumor located in the upper outer quadrant(OR=0.648,P=0.021),distance to skin<5 mm(OR=0.283,P=0.016),Luminal A(OR=1.564,P=0.044),lymphnode long diameter≥20 mm(OR=2.050,P<0.01),lymphnode short diameter≥8.6 mm(OR=2.430,P<0.01),lymph node aspect ratio<2(OR=1.585,P<0.01),and indistinct lymphnode hilum structure(OR=2.092,P<0.01)were the independent risk factors for axillary lymphnode metastatic burden.The ROC curve analysis results showed that compared with the ultrasonic features of positive axillary lymph nodes,the AUC of the combination of breast cancer-related parameters and ultrasonic features of positive axillary lymphnodes was larger(Z=2.72,P=0.006 5),and it had higher predictive value for axillary lymphnode metastatic burden.Conclusion:The tumor quadrant,distance to skin,molecular subtype,lymphnode long diameter,lymph node short diameter,lymphnode aspect ratio,and lymphnode hilum structure are the independent risk factors for axillary lymphnode metastatic burden,and they have certain predictive value for axillary lymphnode metastatic burden.

Objective To analyze the characteristics of clinical indicators in patients with type 2 diabetes,and to establish a simple and effective risk prediction model for type 2 diabetes complicated with coronary heart disease by screening risk prediction indicators with machine learning.Methods A retrospective study was conducted,and 217 patients diagnosed with coronary artery disease combined with type 2 diabetes mellitus who were hospitalized in the Hospital from January 2022 to November 2023 were selected.Additionally,214 patients diagnosed with T2DM during the same period in the outpatient department were selected as the con-trol group.Their routine laboratory test data were recorded.The Least Absolute Shrinkage and Selection Op-erator(Lasso)algorithm was used to select features,and the models were built by using seven machine learn-ing algorithms:Random Forest,Decision Tree,Support Vector Machine,eXtreme Gradient Boosting,Logistic Regression,K-Nearest Neighbor,and Artificial Neural Network.The diagnostic efficacy of different models through receiver operating characteristic curve(ROC),area under curve(AUC),calibration curve,specificity,sensitivity,F1 value,and other indicators were evaluated.Results Twenty key factors,including age,gender,systolic blood pressure,diastolic blood pressure,heart rate,C-reactive protein and blood glucose were selected using Lasso regression.When incorporated into various models,the SVM model exhibited the highest sensitiv-ity(88.37％),negative predictive value(82.14％),and area under curve(0.845).The Random Forest model had the highest accuracy(76.47％),positive predictive value(76.74％),and F1 score(0.77).Meanwhile,the XGBoost algorithm demonstrated relatively good specificity(80.95％).After introducing the SHAP model,it was inferred that blood glucose had a significant positive impact on the occurrence of coronary heart disease in individuals with type 2 diabetes.Conclusion Machine learning can serve as an effective tool for assessing the risk of coronary heart disease in patients with type 2 diabetes.In this study,SVM,Random Forest,and XG-Boost models all demonstrate good predictive performance,indicating promising clinical application prospects.

Objective To compare H_p(3) calibration with a homemade (A) thermoluminescent dosimeter (TLD) and an imported (B) TLD in a standard X-ray RQR radiation field, to explore the different responses of A and B, and to provide foundation for the calibration of H_p(3). Methods A column mode was selected. H_p(3) calibration was performed using A and B in a standard X-ray RQR radiation field in the Secondary Standard Dosimetry Laboratory, National Institute for Radiological Protection, China Center for Disease Control and Prevention. Angle response, energy response, and linear response were calibrated with RQR4 (60 kV), RQR7 (90 kV), and RQR9 (120 kV), respectively. Results In terms of angle response, the calibration results of A were relatively high, while the calibration results of B were relatively low. In terms of energy response, the calibration results showed a similar pattern to angle response. In terms of linear response, the calibration results of both A and B were satisfactory. Conclusion Both A and B can be used for normal calibration of H_p(3) in a standard X-ray RQR radiation field. However, in actual monitoring, attention should be paid to the energy and angle response values of TLDs.

BACKGROUND:As tissue engineering brings new hope to the worldwide problem of articular cartilage repair,the construction of light-curing 3D printed hydrogel scaffolds with biomimetic composition is of great significance for cartilage tissue engineering. OBJECTIVE:To construct a biomimetic methacryloylated hyaluronic acid/acellular Wharton's jelly composite hydrogel scaffold by digital light processing 3D printing technology,and to evaluate its biocompatibility. METHODS:Wharton's jelly was isolated and extracted from human umbilical cord,then decellulated,freeze-dried,ground into powder,and dissolved in PBS to prepare 50 g/L acellular Wharton's jelly solution.Methylallylated hyaluronic acid was prepared,lyophilized and dissolved in PBS to prepare 50 g/L methylallylated hyaluronic acid solution.Acellular Wharton's jelly solution was mixed with methacrylyacylated hyaluronic acid solution at a volume ratio of 1:1,and was used as bio-ink after adding photoinitiator.Methylacrylylated hyaluronic acid hydrogel scaffolds(labeled as HAMA hydrogel scaffolds)and methylacrylylated hyaluronic acid/acellular Wharton's jelly gel scaffolds(labeled as HAMA/WJ hydrogel scaffolds)were prepared by digital light processing 3D printing technology,and the microstructure,swelling performance,biocompatibility,and cartilage differentiation performance of the scaffolds were characterized. RESULTS AND CONCLUSION:(1)Under scanning electron microscope,the two groups of scaffolds showed a three-dimensional network structure,and the fiber connection of HAMA/WJ hydrogel scaffold was more uniform.Both groups achieved swelling equilibrium within 10 hours,and the equilibrium swelling ratio of HAMA/WJ hydrogel scaffold was lower than that of HAMA hydrogel scaffold(P＜0.05).(2)CCK-8 assay showed that HAMA/WJ hydrogel scaffold could promote the proliferation of bone marrow mesenchymal stem cells compared with HAMA hydrogel scaffold.Dead/live staining showed that bone marrow mesenchymal stem cells grew well on the two groups of scaffolds,and the cells on the HAMA/WJ hydrogel scaffolds were evenly distributed and more cells were found.Phalloidine staining showed better adhesion and spread of bone marrow mesenchymal stem cells in HAMA/WJ hydrogel scaffold than in HAMA.(3)Bone marrow mesenchymal stem cells were inoculated into the two groups for chondrogenic induction culture.The results of qRT-PCR showed that the mRNA expressions of agglutinoglycan,SOX9 and type Ⅱ collagen in the HAMA/WJ hydrogel scaffold group were higher than those in the HAMA hydrogel scaffold group(P＜0.05,P＜0.01).(4)These findings indicate that the digital light processing 3D bioprinting HAMA/WJ hydrogel scaffold can promote the proliferation,adhesion,and chondrogenic differentiation of bone marrow mesenchymal stem cells.

Integrating evidence from animal experiments is a critical component of biomedical research, providing essential prior information for in-depth investigations of disease mechanisms and new drug development. Animal models have played an irreplaceable role in simulating human diseases. However, the integration of evidence from animal experiments has faced numerous challenges, including insufficient emphasis, significant heterogeneity in study designs, high publication bias, and discrepancies with clinical research practices. This paper first identifies existing issues in the original research evidence from animal experiments, such as the selection and applicability of animal models, considerations in the design of experimental studies, and factors influencing the translation of animal experimental evidence. It then discusses various methods for integrating this evidence, including systematic review and meta-analysis, overview of systematic review/umbrella review, scoping review, and evidence mapping, while highlighting recent advancements in their application. Finally, the paper addresses the main challenges currently encountered in the integration of evidence from animal experiments and proposes targeted improvement strategies aimed at enhancing the efficiency of translating research outcomes into clinical practice and promoting the advancement of evidence-based medicine. By continuously optimizing original experimental research protocols and evidence integration practices, this work aims to establish a more efficient and scientific environment for the synthesis of evidence from animal experiments, ultimately contributing to clinical trials and human health.

In magnetic resonance examination,the interaction between implants and the radio frequency(RF)fields induces heating in human tissue and may cause tissue damage.To assess the RF-induced heating of implants,three steps should be executed,including electromagnetic model construction,electromagnetic model validation,and virtual human body simulations.The crucial step of assessing RF-induced heating involves the construction of a test environment for electromagnetic model validation.In this study,a hardware environment,comprised of a RF generation system,electromagnetic field measurement system,and a robotic arm positioning system,was established.Furthermore,an automated control software environment was developed using a Python-based software development platform to enable the creation of a high-precision automated integrated test environment.The results indicate that the electric field generated in this test environment aligns well with the simulated electric field,making it suitable for assessing the RF-induced heating effects of implants.

Objective To explore the effects of Xin Jia Congrong Tusizi decoction on mitochondrial biosynthesis and mitochondrial function in ovarian granulosa cells.Methods We prepared the functional injury model of human ovarian granulosa cells KGN induced by triptolide.We divided the cells into control group,model group,Tiao jing Cuyun Pill group,Xin Jia Congrong Tusizi decoction group,SIRT1 inhibitor group and SIRT1 inhibitor+Xin Jia Congrong Tusizi decoction group.After 6 h incubation with triptolide to cause functional impairment of granulosa cells,SIRT1 inhibitor,blank serum and medicated serum were added for 48 h.Cell viability and apoptosis rate were assessed using CCK-8 and flow cytometry.Anti-Müllerian(AMH),follicle-stimulating hormone(FSH)and inhibin B(INHB)were detected by ELISA.ATP enzyme and MMP were used to detect by biochemical kit and JC-1 method.apoptosis rate and MMP were assessed using flow cytometry.The morphology,structure,quantity and activity changes of mitochondria were observed by electron microscope and fluorescence microscope.Western blot and PCR were used to detect the protein and mRNA expressions of SIRT1,p-SIRT1,PGC-1α,NRF1 and TFAM.Results Chinese patent medicine TiaojingCuyun Pill and bushen Yangxue Huoxue therapy compound Xin Jia Congrong Tusizi decoction augmented the activity of granulosa cells(P<0.05),decreased the apoptosis rate(P<0.05),increased ATP enzyme and MMP(P<0.05),improved mitochondrial morphological and structural damage,added the mtDNA level,the number and activity of mitochondria(P<0.01)and up-regulated and the protein and mRNA expressions of SIRT1,PGC-1α,NRF1,TFAM(P<0.05).Conclusion Xin Jia Congrong Tusizi decoction protected ovarian granulosa cells damage caused by triptolide.Its mechanism may related to improve mitochondrial dysfunction by regulating SIRT1/PGC-1α signaling pathway in order to promote the biosynthesis of new mitochondria.

Cardiovascular System/pathology* ; Constriction, Pathologic/genetics* ; Point Mutation ; Neurofibromin 1/genetics* ; Animals ; Mice