Objective To establish a rat model of venous thrombosis in a plateau hypobaric hypoxic environment and to investigate the effect of this environment on venous thrombosis.Methods A total of 144 healthy male SD rats were assigned randomly to four groups(n=36 rats per group):a plains sham operation(A)group,plains operation(B)group,plateau altitude 6000 m+sham operation(C)group,and plateau altitude 6000 m+surgery(D)group.Rats in A and B groups were maintained in a plains normoxic environment,while rats in C and D groups C and D were subjected to a plateau environment.Rats in the surgical groups underwent quantitative constriction to incompletely obstruct the inferior vena cava blood flow.Each group was further divided into subgroups based on time:1,3,5,7,14,and 21 d(n=6 rats per group).Regular vascular ultrasound monitoring was conducted,and blood samples were taken for whole blood viscosity testing and the assessment of inflammatory indicators,including endothelin-1(ET-1),interleukin-6(IL-6)and tissue factor(TF).Coagulation function was evaluated through the activated partial thromboplastin time(APTT),prothrombin time(PT),thrombin time(TT),fibrinogen(FIB)and D-dimer.After the observation period,the experimental animals were sacrificed and the limbs were removed.Thrombus samples were stained with hematoxylin/eosin(HE),and the thrombus wet mass was measured.Results The thrombosis incidence was significantly higher in the plateau D group than in B group,accompanied by a marked increase in blood viscosity and hematocrit(P＜0.01).Additionally,levels of ET-1,IL-6,and TF were significantly elevated(P＜0.05),indicating a coagulation disorder.Conclusions A plateau hypoxic environment model can be successfully simulated by quantitative coarctation of the inferior vena cava,combined with a specialized environmental chamber.The findings of this study suggest that a plateau hypoxic environment promotes venous thrombosis.

As China has become the second largest market for medical devices in the world,the domestic medical device industry has been growing.As an important part of preclinical evaluation of medical devices,large animal research directly affects the research and application of medical devices.Large animals are widely used in the evaluation of safety and feasibility of medical devices because they are closer to humans in terms of body size,anatomical structure and physiological functions.In large animal experimental research,the selection of suitable experimental animals and the establishment of suitable animal disease models are the basis for ensuring the smooth progress of experiments.In this paper,the selection of experimental animals and the establishment of disease models in medical device large animal experimental research are systematically sorted out,and the existing problems and deficiencies are pointed out.

Through the dismantlement,analysis,and sorting of the method of clearing collaterals and nourishing yin in the differentiation of syndromes in Wenbing Tiaobian written by WU Tang,a renowned physician of the Qing Dynasty.This article concluded that WU Tang's clinical application of clearing collaterals can be divided into clearing the qi collateral heat,clearing the blood collateral stasis,and clearing collateral stagnant heat.The yin-nourishing method specifically includes the sweet-cold fluid-restoring,sour-sweet yin-generating,sweet-bitter yin qi-nourishing,sweet-moistening fluid-preserving,heat-clearing fluid-protecting,and emergency purgative yin-preserving methods.Our team explored the application of this approach in tumor treatment based on the academic perspective of"strengthening healthy qi to treat cancer"and in combination with the"clearing collaterals and nourishing yin"method.It proposes that within the relationship between"strengthening healthy qi to treat cancer"and the"clearing collaterals and nourishing yin"method,"nourishing yin to strengthen healthy qi"often serves as the foundation of tumor treatment,whereas"clearing collaterals to eliminate pathogens"acts as an auxiliary measure.This paper summarizes our team's clinical experience and evidence in further treating cancerous diseases based on this theory,citing examples such as Qinghao Biejia Decoction,Xijiao Dihuang Decoction,Zhibai Dihuang Pill,our team's empirical formulas,and the specialized use of medications for cancerous diseases.The further application of this method in cancer diseases can be expanded to improve the clinical effect by summarizing the theory of"strengthening healthy qi to treat cancer"and improving the understanding of clearing collaterals and nourishing yin.

A high level of self-compassion can effectively relieve stress, reduce the psychological distress, and improve mental health. This paper reviews the conception, measurement tools, influencing factors, and intervention measures of self-compassion among caregivers for elderly dementia patients. It analyzes the deficiencies in current research and puts forward feasible suggestions, aiming to provide a reference for future related research.

Through the dismantlement,analysis,and sorting of the method of clearing collaterals and nourishing yin in the differentiation of syndromes in Wenbing Tiaobian written by WU Tang,a renowned physician of the Qing Dynasty.This article concluded that WU Tang's clinical application of clearing collaterals can be divided into clearing the qi collateral heat,clearing the blood collateral stasis,and clearing collateral stagnant heat.The yin-nourishing method specifically includes the sweet-cold fluid-restoring,sour-sweet yin-generating,sweet-bitter yin qi-nourishing,sweet-moistening fluid-preserving,heat-clearing fluid-protecting,and emergency purgative yin-preserving methods.Our team explored the application of this approach in tumor treatment based on the academic perspective of"strengthening healthy qi to treat cancer"and in combination with the"clearing collaterals and nourishing yin"method.It proposes that within the relationship between"strengthening healthy qi to treat cancer"and the"clearing collaterals and nourishing yin"method,"nourishing yin to strengthen healthy qi"often serves as the foundation of tumor treatment,whereas"clearing collaterals to eliminate pathogens"acts as an auxiliary measure.This paper summarizes our team's clinical experience and evidence in further treating cancerous diseases based on this theory,citing examples such as Qinghao Biejia Decoction,Xijiao Dihuang Decoction,Zhibai Dihuang Pill,our team's empirical formulas,and the specialized use of medications for cancerous diseases.The further application of this method in cancer diseases can be expanded to improve the clinical effect by summarizing the theory of"strengthening healthy qi to treat cancer"and improving the understanding of clearing collaterals and nourishing yin.

ObjectiveTo explore the mechanism by which Buyang Huanwutang regulates the glutathione peroxidase 4 （GPX4）-acyl-CoA synthetase long-chain family member 4 （ACSL4） axis to inhibit ferroptosis and promote neurological functional recovery after spinal cord injury （SCI）. MethodsNinety rats were randomly divided into five groups： sham operation group， model group， low-dose Buyang Huanwutang group （12.5 g·kg^-1）， high-dose Buyang Huanwutang group （25 g·kg^-1）， and Buyang Huanwutang + inhibitor group （25 g·kg^-1 + 5 g·kg^-1 RSL3）. The SCI model was established by using the allen method. Tissue was collected on the 7th and 28th days after operation. Motor function was assessed by using the Basso-Beattie-Bresnahan （BBB） scale. Hematoxylin-eosin （HE）， Nissl， and Luxol fast blue （LFB） staining were performed to observe spinal cord histopathology. Transmission electron microscopy was used to examine mitochondrial ultrastructure. Immunofluorescence staining was used to detect the number of NeuN-positive cells and the fluorescence intensity of myelin basic protein （MBP）， GPX4， and ACSL4. Real-time fluorescent quantitative polymerase chain reaction （Real-time PCR） was used to analyze the mRNA expression of GPX4 and ACSL4. Enzyme linked immunosorbent assay （ELISA） was performed to measure the levels of reactive oxygen species （ROS）， malondialdehyde （MDA）， glutathione （GSH）， and superoxide dismutase （SOD）. Colorimetric assays were used to determine the iron content in spinal cord tissue. ResultsCompared to the sham operation group， the model group exhibited significantly reduced BBB scores （P<0.01）， severe pathological damage in spinal cord tissue， and marked mitochondrial ultrastructural disruption. In addition， the model group showed a decrease in the number of NeuN-positive cells （P<0.01）， reduced fluorescence intensity of MBP and GPX4 （P<0.01）， lower levels of GSH and SOD （P<0.01）， and downregulated mRNA expression of GPX4 （P<0.01）. Moreover， compared to the sham operation group， the model group had elevated levels of ROS， MDA， and tissue iron content （P<0.01）， along with increased fluorescence intensity and mRNA expression of ACSL4 （P<0.01）. Compared with the model group and Buyang Huanwutang + inhibitor group， the Buyang Huanwutang group showed significantly improved BBB scores （P<0.05， P<0.01） and exhibited less severe spinal cord tissue damage， reduced edema and inflammatory cell infiltration， increased neuronal survival， and more intact myelin structures. Additionally， mitochondrial ultrastructure was significantly improved in the Buyang Huanwutang group. Compared to the model group and Buyang Huanwutang + inhibitor group， the Buyang Huanwutang group significantly increased the number of NeuN-positive cells and the fluorescence intensity of MBP （P<0.05， P<0.01）. Furthermore， Buyang Huanwutang significantly increased the fluorescence intensity and mRNA expression of GPX4 （P<0.01） and decreased the fluorescence intensity and mRNA expression of ACSL4 （P<0.01） compared to the model group and Buyang Huanwutang + inhibitor group. Finally， the Buyang Huanwutang group significantly decreased ROS， MDA， and tissue iron content （P<0.01） and significantly increased GSH and SOD levels （P<0.01） compared to the model group and Buyang Huanwutang + inhibitor group. ConclusionBuyang Huanwutang inhibits ferroptosis through the GPX4/ACSL4 axis， reduces secondary neuronal and myelin injury and oxidative stress， and ultimately promotes the recovery of neurological function.

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.

As China has become the second largest market for medical devices in the world,the domestic medical device industry has been growing.As an important part of preclinical evaluation of medical devices,large animal research directly affects the research and application of medical devices.Large animals are widely used in the evaluation of safety and feasibility of medical devices because they are closer to humans in terms of body size,anatomical structure and physiological functions.In large animal experimental research,the selection of suitable experimental animals and the establishment of suitable animal disease models are the basis for ensuring the smooth progress of experiments.In this paper,the selection of experimental animals and the establishment of disease models in medical device large animal experimental research are systematically sorted out,and the existing problems and deficiencies are pointed out.

Objective To investigate the mechanism by which the SLC7A11 gene regulates the development and progression of hepatocellular carcinoma(HCCLM3)through the ferroptosis pathway,and to evaluate its potential as a therapeutic target.Methods Differentially expressed ferroptosis-related genes in liver cancer were screened based on data from the TCGA and ICGC databases.Detection of mRNA expression levels of TERT,MIOX,MYCN,NOX4,and SLC7A11 in tumor and adjacent non-tumorous tissues from 32 clinical liver cancer samples using qRT-PCR.Further analysis of SLC7A11 and its downstream molecules SLC3A2,GSS,and GPX4 was performed through qRT-PCR,Western blot,and IHC to assess expression levels and tissue distribution.A stable SLC7A11-knockdown HCCLM3 cell line was constructed and used to establish a subcutaneous xenograft tumor model in nude mice to evaluate its effect on tumor growth.Mice were divided into two groups(n=6 per group):HCCLM3+sh-NC and HCCLM3+sh-SLC7A11.Serum levels of IL-6,IL-1β,and TNF-α were measured using ELISA.Histopathological changes in tumor tissues were examined by H&E staining,and the expression of key genes was validated through multiple approaches.Results Bioinformatics analysis showed high expression of SLC7A11 in hepatocellular carcinoma tissues(P<0.05),significantly associated with poor patient prognosis.Clinical sample validation revealed significantly higher expression of SLC7A11,SLC3A2,GSS,and GPX4 in cancer tissues compared to control groups(All P<0.05).SLC7A11 knockdown significantly inhibited tumor volume and wet weight(P<0.05),and H&E staining showed reduced vascular density in the sh-SLC7A11 group.ELISA results showed elevated serum levels of IL-1β,IL-6,and TNF-α in the sh-SLC7A11 group.qRT-PCR,Western blot,and IHC all showed significantly downregulated expression of SLC7A11,SLC3A2,GSS,and GPX4 in tumor tissues(All P<0.05).Conclusion SLC7A11 inhibits ferroptosis by regulating the GSH-GPX4 axis,promoting hepatocellular carcinoma cell growth.Targeted inhibition of SLC7A11 can induce tumor cell ferroptosis and suppress tumor progression,suggesting it may be an important therapeutic target for hepatocellular carcinoma.

Methods:This study was a cross-sectional study. A prospective cohort study enrolled 42 patients with clinically suspected acute cerebrovascular disease and those undergoing follow-up examinations after intracranial vascular stenting at the First Affiliated Hospital of Zhengzhou University from June 2024 to May 2025. All patients underwent UHR PCD-CT examinations of the head and neck. Reconstructions were performed based on raw data, yielding conventional standard resolution (SR group) reconstructions and UHR images reconstructed using four distinct convolution kernels (Hv40, Hv48, Hv56, Hv64) in separate groups (Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, Hv64 UHR group). Regions of interest were selected in the anterior cerebral artery, middle cerebral artery, posterior cerebral artery, posterior communicating artery, and anterior communicating artery. CT values and standard deviation (SD) values were measured for each artery, and signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were calculated. Additionally, the sharpness of the vessel edges and the full-width-half-maximum (FWHM) of each artery were measured. One-way analysis of variance or the nonparametric Kruskal-Wallis test was used to compare the subjective and objective image quality metrics across the five groups. Pairwise comparisons were performed using the LSD test or Dunn method.Results:Statistically significant differences were observed in the overall comparison of vascular imaging SD, SNR, CNR, vascular edge sharpness, and FWHM among the SR group, Hv40 UHR group, Hv48 UHR group, Hv56 UHR group, and Hv64 UHR group ( P<0.05). No statistically significant differences in CT values were found ( P>0.05). Pairwise comparisons revealed statistically significant differences between all groups ( P<0.05), except that no significant differences were observed in image SD, SNR, CNR, vascular edge sharpness, or FWHM between the Hv56 UHR and Hv64 UHR groups ( P>0.05). Conclusions:UHR PCD-CT provides better image quality for neurovascular imaging. For the display of small intracranial vessels, the Hv64 provides sharper vessel walls and better subjective image quality compared to the less sharp convolutional cores.Objective:To explore the value of ultra-high resolution (UHR) photon-counting detector CT (PCD-CT) to improve the quality of neurovascular images.