Based on the theory of blood collateral， postoperative recurrence and metastasis of bladder cancer are considered to arise primarily from the binding of stasis and toxin， which accumulate and hide within the blood collaterals. Accordingly， treatment should focus on clearing and resolving the deeply concealed stasis toxin retained in the blood collaterals. The paired use of insect and vine medicinals may exert synergistic effects by simultaneously searching out and eliminating pathogenic factors， guiding the action of herbs to the channels， and unblocking the collaterals. Drawing on clinical practice， the stasis-toxin pathogenesis of postoperative recurrence and metastasis of bladder cancer can be divided into four stages including stagnation and astringent of collateral qi， formation of fixed stasis nests， transformation of persistent stasis into toxin， and deficiency of healthy qi with lingering toxin. Accordingly， four herb pairs are proposed for each stage based on conventional treatment， which are Dilong （Pheretima）-Daxueteng （Caulis Sargentodoxae）， Shuizhi （Hirudo）-Jixueteng （Caulis Spatholobi）， Wugong （Scolopendra）-Luoshiteng （Caulis Trachelospermi）， and Quanxie （Scorpio）-Qianjinteng （stephania）. Their potential modern pharmacological mechanisms are further discussed.

AIM:To investigate the prevalence of ocular fundus lesions among active-duty military personnel with high myopia and to analyze the associated influencing factors.

METHODS: A cross-sectional study. Subjects included military personnel with high myopia(≤-6.00 D)and elongated axial length(≥26 mm). A systematic evaluation protocol was implemented, consisting of standardized questionnaires, general physical health examinations, and comprehensive ophthalmic assessments. Optical coherence tomography(OCT)was used to screen for fundus lesions in highly myopic subjects, and the prevalence of related lesions was calculated. Axial length, refractive error, best-corrected visual acuity(BCVA), and macular ganglion cell complex(GCC)thickness were measured. Univariate analysis was performed to compare differences in the above parameters between highly myopic subjects with and without concomitant fundus lesions. Multivariate Logistic regression analysis was further applied to identify risk factors for fundus lesions.

RESULTS:A total of 134 male patients(268 eyes)were enrolled, with the mean age of 24.5±3.2 y. Of the 268 eyes, 123 eyes(45.9%)showed positive signs of fundus lesions. Among these, parapapillary blood flow density reduction was found in 84 eyes(31.3%), GCC thinning in 46 eyes(17.2%), drusen in 8 eyes(3.0%), optic disc edema in 7 eyes(2.6%), retinoschisis in 6 eyes(2.2%), and choroidal excavation in 3 eyes(1.1%). BCVA was significantly lower in highly myopic patients with retinoschisis than in those without retinoschisis(P<0.05).Univariate analysis showed that refractive error, axial length, and posterior scleral expansion were associated with the occurrence of fundus lesions(P<0.05). Multivariate Logistic regression analysis revealed that axial length(OR=2.52, 95%CI: 1.67-3.80, P<0.001)and posterior scleral expansion(OR=3.12, 95%CI: 1.65-5.92, P<0.01)were significant risk factors for fundus lesions in highly myopic military personnel.

CONCLUSION: The prevalence of fundus lesions is relatively high among active-duty military personnel with high myopia. Peripapillary flow density reduction and GCC thinning are the most common manifestations in this population. Increased axial length and posterior scleral ectasia are significant contributing factors. It is recommended that OCT be incorporated into routine ophthalmic examinations for these military personnel, thereby providing a basis for the early detection and intervention of fundus lesions.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

ObjectiveTo construct a risk prediction model for carotid artery plaques in high-risk populations of stroke based on five machine learning methods. MethodsThe clinical information of the high-risk population of stroke was collected. Factor analysis and statistical analysis of syndrome elements were conducted on their traditional Chinese medicine （TCM） symptoms and tongue and pulse manifestations. On the basis of the results of factor analysis and variable screening， five machine learning methods-classification and regression tree （CART） decision tree， support vector machine （SVM）， back propagation（BP） neural network， logistic regression， and random forest-were used to construct the risk prediction model for carotid artery plaques. ResultsThe most common TCM syndrome elements in the high-risk population of stroke was Qi deficiency. The scores of Qi deficiency， Yin deficiency， and Yang deficiency in the population with carotid artery plaques were higher than those without carotid artery plaques （P<0.05）. The CART decision tree， SVM， logistic regression， BP neural network， and random forest models showed the areas under the receiver operating characteristic （ROC） curves of 0.71， 0.75， 0.76， 0.76， and 0.75， the accuracy rates of 68.94%， 69.27%， 69.44%， 70.10%， and 69.60%， the precision rates of 68.56%， 68.53%， 68.75%， 69.74%， and 69.42%， the recall rates of 68.91%， 67.93%， 67.92%， 68.10%， and 67.31%， and the F₁ values of 0.69， 0.68， 0.68， 0.68， and 0.68， respectively. ConclusionAmong the high-risk population of stroke， the most frequently distributed TCM syndrome element is Qi deficiency， with the rest mainly being fire heat， Yin deficiency， Yang deficiency， phlegm dampness， blood stasis， and Qi stagnation. Deficiency syndrome may be a major factor leading to carotid artery plaques in the high-risk population of stroke. The BP neural network model demonstrates better performance in predicting the risk of carotid artery plaques in the high-risk population of stroke. People with carotid artery plaques are more likely to present with symptoms such as a heavy head， dizziness， headache， and thready pulse. The primary community benefits more widely when the BP neural network model is adopted to predict the risk of carotid artery plaques in the high-risk population of stroke over 40 years old.

With the aging of the population, Alzheimer’s disease（AD）has become a common disease in the elderly. Because of its complex pathogenesis and the limited clinical drugs which can only improve the symptoms, traditional Chinese medicine（TCM）shows great potential in the prevention and treatment of AD. Its multi-component and multi-target characteristics coincide with the network pharmacology concept of regulating multiple targets signal pathways. The common websites and tools of network pharmacology, as well as the application of network pharmacology in the research of AD were summarized, which provided reference for further research on the prevention and treatment of AD using traditional Chinese medicine.

Objective To evaluate the efficacy of Puerariae lobatae radix （PLR） and Anemarrhenae Rhizoma （AR） in preventing and treating Alzheimer’s disease （AD） and explore its potential mechanism of action by LC-MS serum metabolomics strategy. Methods The AD rat model was established by administering aluminum chloride （AlCl₃） and D-galactose （D-gal） for 20 weeks. The traditional Chinese medicine intervention group was given the PLR, AR, and PLR-AR extracts for 8 weeks by gavage. The model effect and efficacy were evaluated by Morris water maze test and biochemical indicators including SOD, NO, and MDA; Metabolomics research based on the UHPLC-Q/TOF-MS method was conducted, and relevant metabolic pathways were analyzed through the MetaboAnalyst online website. Results The learning and memory abilities of AD model rats were significantly decreased compared with the control group, and the levels of oxidative stress and lipid peroxides were significantly increased （P<0.05）, while the SOD content was decreased considerably （P<0.01）. The learning and memory abilities of AD model rats were improved, oxidative stress and lipid peroxidation levels were reversed, and serum SOD content was increased significantly after the intervention of PLR-AR, with better effects than single drugs. Through metabolomics, 70 differential metabolites were identified between the AD model group and the control group, mainly involving 10 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, phenylalanine metabolism, and unsaturated fatty acid biosynthesis, et.al. The intervention of PLR-AR could adjust 47 metabolites, with 20 metabolites showing significant differences （P<0.05）. The significantly adjusted metabolites involve 6 pathways, including phenylalanine, tyrosine, and tryptophan biosynthesis, et al. Conclusion The combination of PLR and AR could significantly improve the learning and memory abilities of AD rat models. The mechanism may be related to the improvement of oxidative stress and lipid peroxidation levels, the increase of serum SOD content, and the regulation of phenylalanine, tyrosine, and tryptophan biosynthesis pathways.

Objective:To investigate the efficacy and safety of avatrombopag in promoting hematopoietic reconstitution after allogeneic hematopoietic stem cell transplantation (allo-HSCT).Method:A retrospective analysis was conducted on 60 recipients with hematological malignancies who underwent allo-HSCT at the Affiliated Hospital of Xuzhou Medical University from January 2022 to August 2023. Recipients with hepatic or renal insufficiency before conditioning, those who received other thrombopoietic agents after allo-HSCT, those with severe respiratory or circulatory system diseases, and those with a history of thromboembolic events were excluded. Among them, 30 recipients who received avatrombopag within 14 days post-transplantation were assigned to the avatrombopag group, while the remaining 30 recipients who did not receive any thrombopoietic agents served as the control group. Clinical characteristics, hematopoietic stem cell engraftment, bone marrow proliferation, transfusion requirements, transplant-related complications, and laboratory adverse events were compared between the two groups.Result:The median platelet engraftment time in the avatrombopag group was 13 days (range: 9~25 days), and the neutrophil engraftment time was 13 days (range: 11~21 days). In the control group, he platelet engraftment time was 15 days (range: 10~51 days), and neutrophil engraftment time was 14 days (range: 10~30 days). The difference in platelet engraftment time between the two groups was statistically significant ( P=0.039). Bone marrow analysis on day 28 post-transplant showed that the proportion of recipients with active bone marrow hyperplasia was 96.7% in the avatrombopag group and 73.3% in the control group ( P=0.030); the median number of megakaryocytes was 30 vs. 6, respectively ( P<0.001); and the proportion of mature platelet-producing megakaryocytes was 44% vs. 26.3% ( P<0.001). Regarding transfusion requirements, the median platelet transfusion volume within 28 days post-transplantation was 4.5 U (range: 2~16 U) in the avatrombopag group and 6.5 U (range: 3~32 U) in the control group ( P=0.007). The time to achieve platelet transfusion independence was 13 days (range: 8~25 days) in the avatrombopag group and 14 days (range: 10~36 days) in the control group ( P=0.026). The median red blood cell transfusion volume in both groups was 4 U, with no significant difference ( P=0.354). Medication adherence in the avatrombopag group was 100%. There were no statistically significant differences between the two groups in terms of incidence of post-transplant infections (70% vs. 83.3%), bleeding (50% vs. 60%), graft-versus-host disease (GVHD) (30% vs. 40%), or abnormal laboratory tests (86.7% vs. 90%) (all P>0.05). Conclusion:The use of avatrombopag after allo-HSCT in patients with hematologic malignancies can promote bone marrow hematopoiesis and platelet engraftment, reduce platelet transfusion volume, and shorten the duration of platelet transfusion dependence. Avatrombopag is well tolerated, and no serious adverse reactions were observed during treatment.

Objective To summarize the outcomes of a pricing reform pilot program in a tertiary hospital in Ningxia and offer relevant suggestions.Methods The key measures used in the hospital for adjusting and optimizing the medical revenue structure were summarized.Trend and ratio analysis was employed to compare the economic performance indicators before and af-ter the pilot reform.Results During the pilot period,key performance indicators for national tertiary public hospitals demonstra-ted steady improvements.Meanwhile,the annual growth rate of medical revenue was 4.7 percentage points lower than in 2019,with medical service revenue increased by 5.6 percentage points.Moreover,outpatient and inpatient costs per visit were lower than in same-level,same-type hospitals in the region and in provincial-level general hospitals nationwide.Unreasonable growth in total medical costs was effectively curbed,and the pricing ratio of medical services became more rational.Annual management re-duced drug,consumable,examination and testing revenue by 200 million yuan,while employee average wage income rose by 10.95％from 2019 and employee satisfaction reached 85.2％,ensuring the hospital's healthy and sustainable development.Conclusion The pricing reform pilot project implemented in Ninxia provides a reference for public hospitals to adjust and opti-mize their medical revenue structure.

BACKGROUND:Photoresponsive nanomaterials offer the combined advantages of nanomaterials and the unique benefits of light responsiveness.They find extensive applications in biomedical fields like tissue regeneration,biological imaging,disease diagnosis,drug delivery,and targeted therapy,making them a research hotspot in the field of functional materials.OBJECTIVE:To summarize the advantages and research progress of photoresponsive nanomaterials in bone tissue regeneration.METHODS:CNKI and PubMed databases were searched using the main English search terms"light-responsive,photoresponsive,nanomaterials,bone defect,bone regeneration,osteogenesis,osseointegration"and main Chinese search terms"light-responsive,nanomaterials,bone defect,bone regeneration,osseointegration."Relevant literature was selected based on inclusion and exclusion criteria,resulting in the inclusion of 59 articles for review.RESULTS AND CONCLUSION:The surface morphology of photoresponsive nanomaterials can promote bone tissue regeneration by directly modulating the gene expression and biological behavior of osteoblasts and indirectly regulating immune-related cells behavior.Photoresponsive nanomaterials can be utilized for photothermal and photodynamic antibacterial purposes to facilitate the repair of infectious bone defects.Mild photothermal stimulation generated by photoresponsive nanomaterials can effectively enhance osteogenesis by upregulating the expression and functionality of osteogenic-related genes and proteins.Photoresponsive nanomaterials can produce electrons under light exposure,thereby achieving non-invasive promotion of bone tissue regeneration by modulating local cellular potential changes.Drug release systems based on photoresponsive nanomaterials can undergo structural changes under specific light sources to promote drug release,providing targeted therapeutic strategies for bone tissue regeneration.

AIM:To investigate the role of SET and MYND domain-containing protein 3(SMYD3)-mediated histone H3 lysine 4 trimethylation(H3K4me3)dysregulation in pulmonary vascular remodeling in a rat model of pulmo-nary arterial hypertension associated with atrial septal defect(PAH-ASD).METHODS:The PAH-ASD rat model was created using transseptal puncture and radiofrequency ablation techniques.The rats were randomly assigned to 5 groups:normal,sham,PAH-ASD,PAH-ASD+vehicle(Veh),and PAH-ASD+BCI-121(SMYD3 inhibitor).Four weeks after modeling,lung tissues and pulmonary vessels were harvested for subsequent analysis.Western blot analysis was conducted to evaluate the protein levels of SMYD3,H3K4me3,transforming growth faction-β1(TGF-β1),and collagen type Ⅲ(Col Ⅲ).The mRNA expression of TGF-β1 was quantified using RT-qPCR.Histological assessment of pulmonary vascu-lar fibrosis,vascular wall thickness and smooth muscle proliferation was executed through Masson's trichrome and HE staining.Co-immunoprecipitation(Co-IP)assay was performed to investigate the interactions among SMYD3,H3K4me3,and TGF-β1.Hemodynamic parameters,including mean pulmonary artery pressure(mPAP),were quantified using a computerized physiological signal acquisition system.RESULTS:The Western blot analysis indicated a significant in-crease in the protein levels of SMYD3,TGF-β1,Col Ⅲ,and H3K4me3 in the PAH-ASD group compared with the sham group(P<0.05).RT-qPCR corroborated the elevation of TGF-β1 mRNA expression in the PAH-ASD group(P<0.05).Furthermore,Masson's trichrome and HE staining techniques revealed more pronounced pulmonary vascular fibrosis,an augmented vascular wall area,and an elevated vascular area index within the PAH-ASD group(P<0.05).Additionally,the right ventricular hypertrophy index(RVHI)and mPAP were significantly elevated in the PAH-ASD group(P<0.05).The administration of BCI-121 resulted in a significant reduction of SMYD3,TGF-β1,Col Ⅲ,and H3K4me3 levels(P<0.05),while also mitigating pulmonary vascular fibrosis,RVHI,mPAP,pulmonary vascular area,and area index(P<0.05).Co-IP confirmed direct interactions among SMYD3,H3K4me3,and TGF-β1.CONCLUSION:Histone methyl-transferase SMYD3-mediated histone H3K4me3 modification plays a role in the pulmonary vascular remodeling of PAH-ASD model rats.The underlying mechanism may involve the regulation of pulmonary vascular proliferation and fibrosis me-diated by the overexpression of TGF-β1 and Col Ⅲ.