Tissue repair requires the reconstruction of functional vascular networks to restore oxygen and nutrient delivery, eliminate metabolic waste, and maintain tissue homeostasis. Although biochemical factors such as growth factors and cytokines have been extensively studied in vascular regeneration, increasing evidence indicates that mechanical signals from the extracellular matrix (ECM) are equally important regulators of angiogenesis. Matrix stiffness, as a major biomechanical property of the tissue microenvironment, provides critical information that influences endothelial cell (EC) behavior and vascular remodeling through mechanotransduction. However, the biological effects of matrix stiffness are not universally defined as either pro- or anti-angiogenic, but are highly dependent on tissue context, cellular composition, disease progression, and the dynamic changes occurring during tissue repair. Therefore, understanding how matrix stiffness regulates vascular regeneration is essential for developing more precise strategies for tissue engineering and regenerative medicine. In this review, we summarize recent advances in the regulation of angiogenesis by matrix stiffness during tissue repair from multiple perspectives. First, we discuss the direct effects of matrix stiffness on EC behaviors, including differentiation, morphological remodeling, migration, proliferation, barrier maintenance, and vascular network formation. ECs sense mechanical alterations in the surrounding matrix through various mechanosensitive structures, including integrins, focal adhesion complexes, and mechanosensitive ion channels such as Piezo1 and TRPV proteins. These mechanical signals are subsequently transmitted through intracellular pathways involving FAK, RhoA/ROCK, MAPK, and Hippo-YAP/TAZ signaling, leading to cytoskeletal reorganization and transcriptional regulation. Through these mechanisms, matrix stiffness regulates endothelial functional states and determines the balance between regenerative vascular formation and pathological vascular remodeling. Beyond the direct regulation of ECs, we further highlight the importance of stiffness-mediated intercellular communication within the regenerative microenvironment. Matrix stiffness can regulate the behavior and secretory profiles of vascular-associated cells, including mesenchymal stem cells and macrophages, thereby indirectly affecting endothelial function through paracrine mechanisms. Changes in matrix mechanics influence the secretion of angiogenic factors, inflammatory cytokines, and extracellular vesicles from these cells, creating a mechanical regulation network that coordinates vascular regeneration. This perspective extends the traditional concept of matrix stiffness from a physical support structure to an active regulatory signal that integrates multiple cellular responses during tissue repair. Furthermore, we discuss the tissue-specific effects of matrix stiffness in vascular regeneration across different organs, including the aorta, lung, liver, and heart. Although excessive matrix stiffening is frequently associated with fibrosis and vascular dysfunction, the consequences of mechanical changes vary considerably among tissues. Moderate stiffness alterations may support endothelial activation and vascular stabilization in certain regenerative contexts, whereas persistent pathological stiffening can promote inflammation, endothelial dysfunction, and impaired vascular repair. These findings emphasize that the biological meaning of “soft” and “stiff” microenvironments should be interpreted according to specific tissue and experimental conditions rather than as universal mechanical classifications. Finally, we summarize current challenges and future perspectives in this field. A major limitation is the lack of standardized mechanical characterization among different studies, as stiffness measurements are influenced by material properties, testing methods, and experimental conditions, limiting direct comparison across research systems. Moreover, most existing models fail to fully reproduce the dynamic and viscoelastic properties of native ECM during tissue regeneration. Future studies should combine advanced biomaterials with standardized mechanical analysis, organoid models, and multi-omics approaches to establish more accurate mechanical regulatory maps. Overall, this review proposes that matrix stiffness is not merely a structural feature of tissues, but an active biological signal that regulates vascular regeneration through coordinated mechanotransduction and multicellular interactions. A deeper understanding of stiffness-mediated vascular regulation will provide new theoretical insights and therapeutic opportunities for improving tissue repair outcomes.

ObjectiveTo study the mechanism of compound Xishu granules （CXG） in inhibiting the proliferation of hepatocellular carcinoma cells by regulating ferroptosis. MethodsThe transplanted tumor model of human Huh7 was established with nude mice and the successfully modeled mice were randomized into model， Fufang Banmao （0.21 g·kg^-1）， low-dose （1.87 g·kg^-1） CXG， medium-dose （3.74 g·kg^-1） CXG， and high-dose （7.49 g·kg^-1） CXG groups. Mice were administrated with drinking water or CXG for 28 days， and the body weight and tumor volume were measured every 4 days. Hematoxylin-eosin staining was employed to observe the histopathological changes of tumors. The cell-counting kit-8 （CCK-8） was used to examine the survival rate of Huh7 cells treated with different concentrations （0， 31.25， 62.5， 125， 250， 500， 1 000 mg·L^-1） of CXG for 24 h and 48 h. CA-AM， DCFH-DA， and C11-BODIPY^581/591 fluorescent probes were used to determine the intracellular levels of ferrous ion （Fe²⁺）， reactive oxygen species （ROS）， and lipid peroxide （LPO）， respectively. The colorimetric method was employed to measure the levels of glutathione （GSH） and superoxide dismutase （SOD）. Western blot was employed to determine the protein levels of glutathione peroxidase 4 （GPX4）， transferrin receptor 1 （TFR1）， and ferritin heavy chain 1 （FTH1）， respectively. ResultsIn the animal experiment， compared with the model group， the drug treatment groups showed reductions in the tumor volume from day 12 （P<0.01）. After treatment， the Fufang Banmao and low-， medium-， and high-dose CXG groups had lower tumor volume， relative tumor volume， and tumor weight than the model group （P<0.05）， with tumor inhibition rates of 48.99%， 79.93%， 91.38%， and 97.36%， respectively. Moreover， the CXG groups had lower tumor volume and relative tumor volume （P<0.05 in all the three dose groups） and lower tumor weight （P<0.05 in medium-dose and high-dose groups） than the Fufang Banmao group. Compared with the model group， the drug treatment groups showed reduced number of tumor cells， necrotic foci with karyopyknosis， nuclear fragmentation， and nucleolysis， and the high-dose CXG group showed an increase in the proportion of interstitial fibroblasts. In the cell experiment， compared with the blank group， CXG reduced the survival rate of Huh7 cells in a dose-dependent manner after incubation for 24 h and 48 h （P<0.05）. Compared with the blank group， the RSL3 group and the low-， medium-， and high-dose CXG groups showed a decrease in the relative fluorescence intensity of CA-AM and increases in the fluorescence intensity of DCFH-DA and fluorescence ratio of C11-BODIPY^581/591， which indicated elevations in the levels of Fe²⁺ （P<0.01）， ROS （P<0.05）， and LPO （P<0.01）， respectively. Compared with the blank group， the RSL3 and low-， medium-， and high-dose CXG groups showed lowered levels of GSH and SOD （P<0.05）. In addition， the RSL3 group and the medium- and high-dose CXG groups showed down-regulated expression of GPX4 and FTH1 （P<0.05）， and the low- and high-dose CXG groups presented up-regulated expression of TFR1 （P<0.05）. ConclusionCXG suppresses the proliferation of hepatocellular carcinoma cells by inducing ferroptosis via downregulating the GSH-GPX4 signaling axis and increasing intracellular Fe²⁺and LPO levels.

The primary aim of this study was to conduct a methodical examination and assessment of the prognostic efficacy exhibited by magnetic resonance imaging (MRI)-derived radiomic models concerning the preoperative prediction of lymph-vascular space infiltration (LVSI) in cervical cancer cases. A comprehensive and thorough exploration of pertinent academic literature was undertaken by two investigators, employing the resources of the Embase, PubMed, Web of Science, and Cochrane Library databases. The scope of this research was bounded by a publication cutoff date of May 15, 2023. The inclusion criteria encompassed studies that utilized radiomic models based on MRI to prognosticate the accuracy of preoperative LVSI estimation in instances of cervical cancer. The Diagnostic Accuracy Studies-2 framework and the Radiomic Quality Score metric were employed. This investigation included nine distinct research studies, enrolling a total of 1,406 patients. The diagnostic performance metrics of MRI-based radiomic models in the prediction of preoperative LVSI among cervical cancer patients were determined as follows: sensitivity of 83% (95% confidence interval [CI]=77%–87%), specificity of 74% (95% CI=69%–79%), and a corresponding AUC of summary receiver operating characteristic measuring 0.86 (95% CI=0.82–0.88). The results of the synthesized meta-analysis did not reveal substantial heterogeneity. This meta-analysis suggests the robust diagnostic proficiency of the MRI-based radiomic model in the prognostication of preoperative LVSI within the cohort of cervical cancer patients. In the future, radiomics holds the potential to emerge as a widely applicable noninvasive modality for the early detection of LVSI in the context of cervical cancer.

Objective:To investigate the methods and skills required for the safe and swift removal of primary or secondary sacral tumors located between the second (inclusive) and fourth sacral vertebrae.Methods:The clinical images, pathology reports, surgical procedures, operation durations, intraoperative bleeding volumes, and postoperative functional follow-up data of 26 patients undergoing sacral tumor resection at the First Affiliated Hospital of Zhengzhou University and Xinjiang Production and Construction Corps Hospital between May 2020 and February 2025 were retrospectively examined. Additionally, the safety measures for sacral tumor resection and techniques for expedited specimen removal were evaluated.Results:According to magnetic resonance imaging (MRI) findings, all 26 patients presented with sacral tumors located between the second (inclusive) and fourth sacral vertebrae. Specifically, 9 patients were diagnosed with primary sacral tumors, pathologically confirmed as chordomas, while 17 patients had secondary sacral tumors. Among the secondary tumor cases, 12 were attributed to recurrent rectal cancer invading the sacrum, and 5 were due to malignant teratomas invading the sacrum. The 26 patients underwent a treatment strategy that began with managing the relationship between the internal iliac artery, vein branches, and the tumor, followed by the resection of the sacrum. During surgery, the bilateral sciatic foramina were accurately positioned, and the presacral fascia was dissected subsequent to the fracture of the sacrum. Among the 26 patients, 9 underwent sacral tumor resection directly through the posterior sacral approach. The average operation time for these patients was (71.1±4.9) minutes, with average blood loss of (186.7±72.8) milliliters. On the other hand, 17 patients underwent sacral tumor resection by transitioning from the supine position to the prone knife position through a combined abdominal and sacral approach. The average operation time for this group was (213.5±19.3) minutes, with average blood loss of (480.0±93.0) milliliters, significantly longer than that of the posterior sacral approach. The follow-up period ranged from 1 to 48 months, with a median of 20 months, ending on March 31, 2025. During this time, 26 patients achieved autonomous defecation with the aid of medication. None of the patients reported any functional movement disorders or pain in their lower limbs. It was observed that two out of the 26 patients developed distant metastasis, while the remaining 24 patients survived without any tumors.Conclusion:By pretreated the relationship between the internal iliac vessels and sacral tumors prior to resecting sacral tumors, utilizing the approach of initially fracturing the sacrum followed by rupturing the presacral fascia, the tumor can be entirely eliminated, resulting in a brief surgical procedure, reduced intraoperative bleeding, and minimal postoperative complications.

Background and Aims:Sleeve gastrectomy(SG)has become the most widely performed bariatric procedure worldwide,but postoperative gastroesophageal reflux disease(GERD)remains a major concern.This multicenter study aimed to identify independent risk factors associated with GERD after SG to guide preoperative assessment and intraoperative management.Methods:Clinical data of 672 patients who underwent SG between January 2020 and December 2022 in six bariatric centers and completed a 12-month follow-up were retrospectively analyzed.Demographic characteristics,esophagogastric junction(EGJ)integrity graded by the AFS system,operative parameters,and postoperative outcomes were compared between patients with and without GERD.Multivariate logistic regression was used to identify predictors of postoperative GERD.Results:The overall incidence of GERD after SG was 24.7%(166/672).Multivariate analysis revealed that a preoperative BMI>35 kg/m2(OR=1.68,P=0.033),EGJ integrity AFS grade>2(OR=2.90,P=0.006),and preoperative reflux symptoms(OR=2.44,P=0.030)were independent risk factors for GERD.A staple line more than 1 cm from the angle of His(OR=0.45,P<0.001)and a bougie size>36 Fr(OR=0.08,P=0.001)were protective factors.Conclusion:High BMI,impaired EGJ integrity,and preoperative reflux symptoms significantly increase the risk of GERD after SG,whereas adequate preservation of the His angle and appropriate bougie calibration may reduce it.Comprehensive preoperative EGJ assessment and standardized surgical techniques are essential for minimizing postoperative reflux.

BACKGROUND:Degenerative scoliosis is defined as a condition that occurs in adulthood with a coronal cobb angle of the spine>10° accompanied by sagittal deformity and rotational subluxation,which often produces symptoms of spinal cord and nerve compression,such as lumbar pain,lower limb pain,numbness,weakness,and neurogenic claudication.The finite element method is a mechanical analysis technique for computer modelling,which can be used for spinal mechanics research by building digital models that can realistically restore the human spine model and design modifications. OBJECTIVE:To review the application of finite element method in the etiology and treatment of degenerative scoliosis. METHODS:The literature databases CNKI,PubMed,and Web of Science were searched for articles on the application of finite element method in degenerative scoliosis published before October 2023.Search terms were"finite element analysis,biomechanics,stress analysis,degenerative scoliosis,adult spinal deformity"in Chinese and English.Fifty-four papers were finally included. RESULTS AND CONCLUSION:(1)The biomechanical findings from the degenerative scoliosis model constructed using the finite element method were identical to those from the in vivo experimental studies,which proves that the finite element method has a high practical value in degenerative scoliosis.(2)The study of the etiology and treatment of degenerative scoliosis by the finite element method is conducive to the prevention of the occurrence of the scoliosis,slowing down the progress of the scoliosis,the development of a more appropriate treatment plan,the reduction of complications,and the promotion of the patients'surgical operation.(3)The finite element method has gradually evolved from a single bony structure to the inclusion of soft tissues such as muscle ligaments,and the small sample content is increasingly unable to meet the research needs.(4)The finite element method has much room for exploration in degenerative scoliosis.

BACKGROUND:Various clinical strategies for the treatment of tendinopathy have good short-term effects but poor long-term effects,and some studies have proven that mitochondria are closely related to the occurrence and development of tendinopathy.However,the relationship between mitochondria and tendinopathy and mitochondria-targeting therapeutic strategies for tendinopathy have not been summarized so far,which is not good for specialists and scholars in related fields to understand the recent research situation.OBJECTIVE:To review the existing clinical or preclinical original studies,in order to summarize the relationship between mitochondrial dysfunction and tendinopathy and the mitochondria-targeting methods for the treatment of tendinopathy,and to provide certain prospects for the evaluation and management of mitochondria in tendinopathy in the future.METHODS:The relevant literatures in PubMed,Web of Science,CNKI,WanFang and VIP databases were searched.The search time was from January 2009 to March 2024,and the search terms were"tendinopathy,tendon injuries,tendon,tendons,mitochondria,mitochondria dysfunction,mitochondria disease"both in English and Chinese.According to the exclusion and inclusion criteria,62 articles were finally included for review and analysis.RESULTS AND CONCLUSION:(1)In clinical tendinopathy patients or tendinopathy models,mitochondrial dysfunction is common,mainly represented by excessive production of reactive oxygen species,decreased activity of superoxide dismutase,ridge clutter and decreased number of mitochondria,which indicates that mitochondrial dysfunction will occur due to tendon injury,thus further worsening tendinopathy and forming a vicious cycle.(2)When the tendon has not been injured or tendinopathy has not yet occurred,the mitochondrial function will be affected by various internal and external factors,resulting in tendinopathy.This indicates that the normal tendon will be damaged,lesioned or even ruptured due to the abnormal function of the mitochondria.(3)Mechanical tensile stress,advanced glycosylation end products,aging and other internal and external factors are the main causes of mitochondrial dysfunction,and these factors will damage and weaken the biological activity and mechanical properties of normal tendons through molecular mechanisms such as apoptosis,inflammation and respiratory chain damage,and thereby induce tendinopathy.(4)According to molecular mechanisms,mitochondria-targeting therapies mainly include mitochondrial transfer/transplantation,transplantation,targeted antioxidants,etc.(5)This review mainly aims at clinical patients with tendinopathy or animal models with similar modeling methods,providing a reliable idea for clinical exploration of the pathogenesis of tendinopathy and targeted therapies for tendinopathy.However,the disadvantage is that the included studies are mainly animal experiments,and there is a lack of more clinical trials for verification.

Aim To explore the mechanism of Con-grong Shujing granule(CSGs)in the treatment of Par-kinson's disease(PD)by network pharmacology,mo-lecular docking and parallel reaction monitoring(PRM)technology.Methods The active components of CSGs and the target genes of Parkinson's disease were obtained through the database.The intersection targets of drugs and diseases were selected to construct the"drug-active ingredient-target"and protein interac-tion network.The intersection target genes were impor-ted into David database for GO and KEGG enrichment analysis,and the main components were docked with key targets.27 SD rats were randomly divided into the normal group(n=9),model group(n=9)and treat-ment group(n=9).On day 1,7 and 14 of treatment,PRM analysis was used to detect the changes in the specific peptides of key target proteins in the substantia nigra of rats.Results The main components of CSGs wereTanshialdehyde,Baicalein,Quercetin and Kaempferol.The most important targets for the treat-ment of PD were TP53,AKT1,EGFR,HSP90 AA1 and STAT3.KEGG analysis mainly enriched MAPK,PI3K-Akt and neurotrophic factor signaling pathway.The molecular docking between core components and core targets showed that the binding of drugs and targets had good activity.PRM analysis of key proteins found that the target peptide expression levels of ASK1,JNK1 and JNK3 were different among groups(P＜0.05).Con-clusion CSGs can alleviate ERS,inhibit apoptosis and play a neural protective role through the ASK1-JNK pathway.

Objective:The transcriptome data was utilized to screen cuproptosis-related genes(CRGs)in oral squamous cell car-cinoma(OSCC),and the characteristic genes were identified for constructing a prognostic model for predicting patients'survival time.Methods:OSCC transcriptome gene expression and clinical data were obtained from TCGA and GEO.Through Lasso regres-sion analysis and Cox regression analysis,relevant prognostic genes were screened and prognostic models were constructed.Ac-cording to the median value of risk scores,patients were divided into high and low risk groups,and their survival rates were com-pared.Finally,the predictive performance of the model was verified.Results:In this study,9 characteristic genes with prognostic value(ENO2,P4HA1,SLC2A3,AQP1,PLS1,NXPH4,CTSG,TRAC,THBS1)were screened out and a 9-gene prognostic model was constructed.The survival rate of high-risk group based on prognostic model was significantly lower than that of low-risk group.The area under curve(AUC)of receiver operating characteristic curve(ROC)was 0.701,0.729 and 0.702 at 1 year,3 years and 5 years,respectively,which verifies that the risk model has good predictive performance.The nomogram predicted that the 1-year,3-year,and 5-year survival probabilities of OSCC patients are 89.6％,72.4％,and 63.9％respectively,and the cal-ibration curve confirmed the accuracy of the nomogram prediction.Conclusion:The 9-gene prognostic model based on CRGs screening could predict the prognosis of OSCC patients,which is helpful for clinical personalized treatment of OSCC patients and prediction of their survival rate.

Objective To explore the practice of cost control and nursing quality improvement for obstetric and gyneco-logical inpatients based on the Diagnosis-Related Groups(DRGs)model.Methods A total of 208 inpatients admitted to the ob-stetrics and gynecology department of our hospital from June 1,2023,to December 31,2024,were selected as the study sub-jects.They were divided into a control group(104 cases,conventional payment model)and an observation group(104 cases,DRGs model)using a random number table method.The hospitalization costs(examination fees,medication fees,surgery fees,consumable costs,per capita total hospitalization costs),average length of stay,nursing quality,and inpatient satisfaction were compared between the two groups.Results In the observation group,the main cost components—examination fees,medication fees,surgery fees,consumable costs,and per capita total hospitalization costs—were all lower than those in the control group,with statistically significant differences(P＜0.05).The average length of stay in the observation group was shorter than that in the control group.The scores for safety management,nursing standards,ward management,and nursing quality in the observation group were higher than those in the control group,with statistically significant differences(P＜0.05).The inpatient nursing sat-isfaction rate in the observation group was 91.35％,significantly higher than that in the control group,with a statistically signifi-cant difference(P＜0.05).Conclusion The application of the DRGs model in obstetric and gynecological inpatients can effec-tively reduce related hospitalization costs and improve nursing quality and inpatient satisfaction.