BACKGROUND:Synthetic polymers,such as polypropylene and polyester,used for the treatment of abdominal wall defects not only lack biodegradability and bioactivity but also fail to meet the demands of complex and irregular wounds.Therefore,finding bioactive materials with low immunogenicity and good histocompatibility has become a hot spot in the repair of abdominal wall defects. OBJECTIVE:To prepare methacryloyl modified dermal extracellular matrix hydrogel and explore its potential application in abdominal wall defect. METHODS:(1)The porcine dermis was acellular with 0.25%trypsin and 1%Triton X-100 in turn to obtain the dermal extracellular matrix.After pepsin digestion and methacrylic anhydride modification,the methacrylated dermal extracellular matrix hydrogel was formed by photocrosslinking.The microscopic morphology of the hydrogel was observed by scanning electron microscope,and its rheological properties,swelling properties and other physical and chemical properties were tested.(2)Mice fibroblasts(L929)were inoculated into methacrylated dermal extracellular matrix hydrogel to detect the cell compatibility.(3)Totally 12 SD rats were randomly divided into two groups(n=6)to create abdominal wall defect model with peritoneum preserved.The defect site of the polypropylene group was filled with polypropylene material,and the hydrogel group was filled with methacrylated dermal extracellular matrix hydrogel.The wound skin of both groups was covered with polypropylene material.The wound healing was observed and histological analysis was carried out. RESULTS AND CONCLUSION:(1)Enzymatic hydrolysis had a good decellularization effect on porcine dermis after decellularization,and the original glycosaminoglycans and collagen were well retained.Scanning electron microscope observation revealed that the dermal extracellular matrix hydrogel presented loose and porous structure.The aperture was between 70 and 120 μm.The swelling ratio was(16.88±3.24)%and the water absorption was(94.24±1.11)%.The rheological property test showed that the methacrylated dermal extracellular matrix hydrogel was stable and had shear thinning characteristics,with injectability.(2)CCK-8 assay and live/dead staining showed that methacrylated dermal extracellular matrix hydrogel had good cell compatibility.(3)The results of animal experiments showed that the skin wound healing rate of the experimental group was higher than that of the control group at 7,10,and 14 days after operation(P<0.05).Hematoxylin-eosin and Masson staining of skin and muscle tissue exhibited that compared with the polypropylene group,the skin wound epithelialization,hair follicle formation,collagen fiber arrangement,and neovascularization were better in the hydrogel group 14 days after surgery.The skin wound new tissue structure was similar to the normal tissue at 28 days after surgery,and scar hyperplasia was less.A small amount of muscle regeneration was observed on day 28 after operation.(4)The results show that the methacrylated dermal extracellular matrix hydrogel can promote wound skin healing and muscle tissue regeneration in rats with abdominal wall defect.

Objective: To explore the influencing factors of recurrence in postoperative patients with renal cell carcinoma，construct machine learning prediction models and evaluate their performance. Methods: Clinical data of 915 patients with renal cell carcinoma treated in our hospital during 2013 and 2021 were retrospectively collected.The data were randomly divided into a training set (n=510) and a validation set (n=218) in a 7∶3 ratio.In the training set，LASSO regression algorithm was used to screen important variables，and machine learning prediction models were constructed to predict the recurrence risk.In the validation set，the effectiveness of the models was compared combined with the area under receiver operating characteristic curve (AUC)，accuracy rate，F1 value and other indicators. Results: LASSO regression screened out the risk factors，including smoking history，tumor size，N stage，Fuhrman grade，thrombin time and fibrinogen，based on which，the logistic model，decision tree model，random forest model，and Bayes model were constructed.In the validation set，the AUC of the above 4 models was 0.862，0.792，0.843 and 0.861，respectively; the accuracy was 0.917，0.908，0.904 and 0.927，respectively; F1 value was 0.357，0.286，0.323 and 0.600，respectively.The Bayes model had the most stable performance and best differentiation. Conclusion: In this data set，the prediction model based on Bayes algorithm has a good performance and can provide reference for clinical decision making.

Hypertension is a systemic chronic vascular disease. From the perspective of Traditional Chinese Syndromes, hypertension belongs to the category of liver fire, vertigo, liver yang, headache and so on. Chinese medicine treatment of hypertension has gradually become a hot research topic, and using Chinese herbal medicine to reduce blood pressure has also achieved good results. In recent years, researches on anti-hypotension of Bidens pilosa L. has gradually increased. The related research of Bidens pilosa L., including the ancient literature, modern research, functional components and mechanism were mainly summarized, the application of Bidens pilosa L. in lowering blood pressure were anticipated, with a view to provide reference for the further development and utilization of Bidens pilosa L. in treatment of hypertension.

BACKGROUND: Children's respiratory health demonstrates particular sensitivity to air pollution. Existing evidence investigating the association between short-term ozone (O₃) exposure and childhood pneumonia remains insufficient and inconsistent, especially in low- and middle-income countries (LMICs). METHOD: To provide more reliable and persuasive evidence, we implemented a multi-city, time-stratified case-crossover design with a large sample size, using data from seven representative children's hospitals across major geographical regions in China. To avoid the impact of the COVID-19 pandemic, individual-level medical records of inpatient children under 6 years of age diagnosed with pneumonia during 2016-2019 were collected. Conditional logistic regression models were fitted for each city, and city-specific estimates were pooled through a meta-analysis using a random-effects model. RESULTS: In total, the study included 137,470 pediatric pneumonia hospital admissions. The highest pooled estimate for O₃ occurred at lag0-1, with a 10 µg/m³ increase in O₃ associated with a 1.57% (95% CI: 0.67%-2.48%) higher risk of pediatric pneumonia hospital admissions. Stratified analyses indicated that the effects of O₃ were robust across different sexes, age groups, and admission seasons. We also observed a statistically significant increase in risk associated with O₃ concentrations exceeding the World Health Organization Air Quality Guidelines (WHO-AQGs). CONCLUSIONS This study revealed a significant positive association between O₃ and pediatric pneumonia hospital admissions. Our findings substantially strengthen the evidence base for the adverse health impacts of O₃, underscoring the importance of O₃ pollution control and management in reducing the public health burden of pediatric pneumonia.
Humans ; Ozone/analysis* ; China/epidemiology* ; Pneumonia/chemically induced* ; Child, Preschool ; Male ; Female ; Infant ; Cross-Over Studies ; Air Pollutants/analysis* ; Hospitalization/statistics & numerical data* ; Child ; Cities/epidemiology* ; Air Pollution/adverse effects* ; Infant, Newborn ; Environmental Exposure/adverse effects*

OBJECTIVE: To elucidate how spinal manipulative therapy (SMT) exerts its analgesic effects through regulating brain function in lumbar disc herniation (LDH) patients by utilizing resting-state functional magnetic resonance imaging (rs-fMRI). METHODS: From September 2021 to September 2023, we enrolled LDH patients (LDH group, n=31) and age- and sex-matched healthy controls (HCs, n=28). LDH group underwent rs-fMRI at 2 distinct time points (TPs): prior to the initiation of SMT (TP1) and subsequent to the completion of the SMT sessions (TP2). SMT was administered once every other day for 30 min per session, totally 14 treatment sessions over a span of 4 weeks. HCs did not receive SMT treatment and underwent only one fMRI scan. Additionally, participants in LDH group completed clinical questionnaires on pain using the Visual Analog Scale (VAS) and the Japanese Orthopedic Association (JOA) score, whereas HCs did not undergo clinical scale assessments. The effects on the brain were jointly characterized using the amplitude of low-frequency fluctuations (ALFF) and regional homogeneity (ReHo). Correlation analyses were conducted between specific brain regions and clinical scales. RESULTS: Following SMT treatment, pain symptoms in LDH patients were notably alleviated and accompanied by evident activation of effects in the brain. In comparison to TP1, TP2 exhibited the most significant increase in ALFF values for Temporal_Sup_R and the most notable decrease in ALFF values for Paracentral_Lobule_L (voxelwise P<0.005; clusters >30; FDR correction). Additionally, the most substantial enhancement in ReHo values was observed for the Cuneus_R, while the most prominent reduction was noted for the Olfactory_R (voxelwise P<0.005; clusters >30; FDR correction). Moreover, a comparative analysis revealed that, in contrast to HCs, LDH patients at TP1 exhibited the most significant increase in ALFF values for Temporal_Pole_Sup_L and the most notable decrease in ALFF values for Frontal_Mid_L (voxelwise P<0.005; clusters >30; FDR correction). Furthermore, the most significant enhancement in ReHo values was observed for Postcentral_L, while the most prominent reduction was identified for ParaHippocampal_L (voxelwise P<0.005; clusters >30; FDR correction). Notably, correlation analysis with clinical scales revealed a robust positive correlation between the Cuneus_R score and the rate of change in the VAS score (r=0.9333, P<0.0001). CONCLUSIONS Long-term chronic lower back pain in patients with LDH manifests significant activation of the "AUN-DMN-S1-SAN" neural circuitry. The visual network, represented by the Cuneus_R, is highly likely to be a key brain network in which the analgesic efficacy of SMT becomes effective in treating LDH patients. (Trial registration No. NCT06277739).
Humans ; Magnetic Resonance Imaging ; Intervertebral Disc Displacement/diagnostic imaging* ; Male ; Female ; Brain/diagnostic imaging* ; Adult ; Manipulation, Spinal/methods* ; Middle Aged ; Lumbar Vertebrae/physiopathology* ; Pain Management ; Rest ; Case-Control Studies

This article is to illustrate the connection between neutrophil extracellular traps （NETs） and stasis-toxin interactions during the development of liver cancer， and to provide ideas for the prevention and treatment of liver cancer. It is believed that the mechanism of tumor-related thrombosis formation caused by NETs is closely related to "stasis" in traditional Chinese medicine （TCM）， and the continuous maintenance or enhancement of tumor microenvironment by NETs is closely related to "toxin" in TCM； the strong coagulation-promoting effect of NETs makes the local microenvironment， which can be regarded as the toxin caused by blood stasis； the changes of tumor microenvironment induced by NETs further induced platelet aggregation， which may present a state of stasis caused by toxin； the pathological changes of liver cancer caused by NETs can be regarded as the microscopic manifestation of the mechanism of stasis-toxin interaction of liver cancer.

Pulmonary administration can directly deliver drugs to the lungs， making it the preferred mode of administration for pulmonary disease. Active ingredients of traditional Chinese medicine （TCM）， such as quercetin and paclitaxel have demonstrated promising therapeutic effects on lung diseases. However， they face challenges such as poor water solubility and high lung clearance rates. Loading the active ingredients of TCM onto nano-drug delivery systems can enhance their water solubility， stability， permeability and retention in the lungs. Based on this， this study reviewed the research progress on inhalation nano-drug delivery systems for the active ingredients of TCM in the treatment of lung diseases. It was found that there are nano-drug delivery systems for TCM active ingredients based on chitosan， lipids （including liposomes， solid lipid nanoparticles， and nanostructured lipid carriers）， and targeting ligands （including targeting folate receptor， targeting transferrin receptor， and exosomes）. These inhalation nano-drug delivery systems comprehensively consider key factors such as particle size， surface charge， and hydrophobicity， which can prevent the drugs from being cleared by mucus， cilium and macrophages， thus exhibiting great potential for application.

In recent years,due to the development of disciplines such as molecular biology,cell biology,and materials science,the research of targeted therapy drugs has become a hot spot.Compared with conventional drugs,targeted therapy drugs can selectively increase the concentration and effectively reduce the toxic side effects of drugs in target tissues,which is an ideal way of drug delivery.Nanomaterial is receiving more attention for its superior performance in animals.The application and develop-ment of nanocrystals in targeted drug delivery systems has effectively broken the limitation of insoluble drugs and plays an indis-pensable role in drug delivery systems.In this paper,we briefly reviewed the characteristics and classification of targeted therapy drugs and the application of nanocrystals in pharmaceutical research to provide a reference for the related research.

Objectives:This study aims to investigate the impact of different Low-Density Lipoprotein cholesterol(LDL-C)levels on progression of intermediate coronary stenosis,and the associated risk factors leading to the progression of such lesions. Methods:Data were collected on 219 consecutive patients admitted at the Fuwai Central China Vascular Hospital from January 2020 to February 2021,underwent angiographic examinations and diagnosed with intermediate coronary stenosis,with at least one follow-up angiography after 11 months.Offline quantitative flow ratio(QFR)analysis was performed on these cases.Patients were divided into two groups:LDL-C controlled group(LDL-C<1.8 mmol/L,148 patients with 191 vessels)and LDL-C uncontrolled group(LDL-C≥1.8 mmol/L,71 patients with 98 vessels).Coronary artery QFR and anatomical indicators such as minimal lumen diameter,minimal lumen area,percentage diameter stenosis,percentage area stenosis were compared within and between the groups.Further analysis was performed to identify influencing factors leading to changes in coronary physiological parameters derived from QFR. Results:Within the LDL-C controlled group,there was no significant difference in the QFR values of the vessels compared to baseline(P>0.05),whereas in the LDL-C uncontrolled group(P<0.05),a notable decline in QFR was observed.Patients in the LDL-C controlled group had lower rates of maximum diameter and area stenosis and higher minimum lumen diameter and area(all P<0.05).Through multifactorial Logistic regression analysis,it was found that a body mass index＞28 kg/m2,LDL-C≥1.8 mmol/L,and a history of myocardial infarction were independent risk factors leading to the decline in QFR(all P<0.05). Conclusions:It was found that patients in the LDL-C controlled group had higher coronary artery QFR,minimum lumen diameter and area,lower rates of maximum diameter and area stenosis.

Objective To establish a scoring model for predicting the prognosis and drug sensitivity of colorectal cancer(CRC)based on the expression of disulfidptosis-related genes by bioinformatics analyses combined with the validation with CRC patient-derived organoids(CRC-PDOs).Methods NMF(non-negative Matrix Factorization)algorithm,Cox and LASSO regression analyses were used to identify disulfidptosis-related genes with predictive value for CRC prognosis,and disulfidptosis-related risk scoring formula was constructed.The differential genes and enrichment pathways among different clusters were analyzed by GO(Gene Ontology)and KEGG(Kyoto Encyclopedia of Genes and Genomes).The sensitivity of the high/low-risk clusters of CRC patients to chemotherapy drugs was predicted using the GDSC database and validated using CRC-PDOs.Results The results of NMF algorithm showed that CRC patients could be grouped into two clusters based on the disulfidptosis-related genes.COX regression analysis demonstrated that LRPPRC and SLC7A11 were the only two genes with significance to predict the prognosis of CRC patients(P=0.047,0.033).Low expression of SLC7A11 or high expression of LRPPRC in tumors of CRC patients was significantly correlated with overall survival(OS)(P=0.004,0.003).Based on LASSO regression analysis,the mortality risk scoring formula for disulfidptosis was as follows:Risk score=LRPPRC×(-0.670 5)+SLC7A11×0.311 2,and the GSE161158 dataset could be re-grouped into high-risk and low-risk clusters accordingly.There were 125 differentially expressed genes(DEGs)between the two clusters.According to the GO and KEGG results,the up-regulated genes in high-risk cluster were mainly enriched in immune regulation,such as leukocyte chemotaxis,granulocyte migration and toll-like receptor binding.Low-risk cluster was characterized by pathways associated with sulfide metabolism,such as sulfur compound transmembrane transporter activity.Based on the GDSC database,the expression level of SLC7A11 and LRPPRC could predict chemotherapy drug sensitivity.As a representative,the efficacy of chemotherapy drug(irinotecan)on inhibiting the growth of CRC-PDOs was shown to be linearly correlated with the relative gene expression levels of SLC7A11 and LRPPRC in CRC tissues of patients(P=0.007,0.040).Conclusion According to the results based on the bioinformatics analyses and drug sensitivity testing on CRC-PDOs,disulfidptosis risk score could predict the prognosis and drug sensitivity of CRC patients,with potential clinical application prospect.