ObjectiveTo investigate the effect of icariin （ICA） on steroid-induced ferroptosis in bone microvascular endothelial cells （BMECs）. MethodsRat BMECs were selected and treated with 500 mg·L^-1 hydrocortisone for 1.5 h to establish a ferroptosis model of BMECs. The experimental cells were divided into a blank group， hormone group （500 mg·L^-1 hydrocortisone）， ICA group （500 mg·L^-1 hydrocortisone + 34 mg·L^-1 ICA）， and ferroptosis agonist group （500 mg·L^-1 hydrocortisone + 34 mg·L^-1 ICA + 2.7 mg·L^-1 erastin）. Cell viability was detected by CCK-8. The levels of ferrous ion， glutathione （GSH）， malondialdehyde （MDA）， superoxide dismutase （SOD）， and reactive oxygen species （ROS） were detected by related kit species. The ferroptosis-related proteins， such as glutathione peroxidase 4（GPX4）， ferritin light chain （FTL）， and transferrin receptor protein1 （sTfR） were detected by Western blot， as well as autophagy-related proteins including microtubule-associated protein 1 light chain 3B （LC3B）， Beclin1， B-cell lymphoma-2 （Bcl-2）， and Caspase-3. Results500 mg·L^-1 hydrocortisone intervention for 1.5 h could effectively induce ferroptosis in BMECs， and ferroptosis levels could reach a peak as the intervention continued. In terms of cellular antioxidant capacity， compared with those in the blank group， the cell vitality， GSH in the hormone group decreased significantly， and the levels of ROS， SOD， MDA， and ferrous ions were significantly increased （P<0.01）. Compared with those in the hormone group， the cell viability， GSH were significantly increased， and the levels of ROS， SOD， MDA， and ferrous ions were decreased in the ICA group （P<0.01）. Compared with those in the ICA group， the cell vitality， GSH in the ferroptosis agonist group decreased significantly， and the levels of ROS， SOD， MDA， and ferrous ions increased significantly （P<0.01）. In terms of the relationship between ferroptosis and autophagy， compared with the blank group， the hormone group had significantly increased expression levels of LC3B， sTfR， Beclin1， and FTL and significantly decreased expression levels of GPX4 （P<0.01）. Compared with the hormone group， The ICA group had significantly decreased expression levels of LC3B， sTfR， and FTL and significantly increased expression levels of Beclin 1 and GPX4 （P<0.01）. Compared with those in the ICA group， the expression levels of LC3B， sTfR， and FTL increased in the rapamycin group， and those of Beclin 1 and GPX4 decreased （P<0.01）. In terms of cell ferroptosis and apoptosis，compared with the blank group， the hormone group had significantly increased expression levels of FTL， sTfR and Caspase-3 and significantly decreased expression levels of GPX4， and Bcl-2 （P<0.01）. Compared with the hormone group， the ICA group had significantly decreased expression levels of FTL， sTfR and Caspase-3 and significantly increased expression levels of GPX4， and Bcl-2 （P<0.01）. Compared with those in the ICA group， the expression levels of FTL， sTfR and Caspase-3 in the ferroptosis agonist group were increased， and the expression levels of GPX4， and Bcl-2 were decreased （P<0.01）. In terms of cell function，compared with that in the blank group， the ability of cell migration and tube formation was significantly decreased in the hormone group （P<0.01）. Compared with that in the hormone group， the cell migration and tube formation ability in the ICA group were significantly increased （P<0.01）. ConclusionFerroptosis is involved in steroid-induced damage in BMECs. ICA can inhibit steroid-induced ferroptosis in BMECs， and the mechanism may be associated with the inhibition of ferroptosis by regulating autophagy.

Steroid-induced osteonecrosis of the femoral head （SONFH） is a severe musculoskeletal disorder often induced by the prolonged or excessive use of glucocorticoids. Characterized by ischemia of bone cells， necrosis， and trabecular fractures， SONFH is accompanied by pain， femoral head collapse， and joint dysfunction， which can lead to disability in severe cases. The pathogenesis of SONFH involves hormone-induced osteoblast apoptosis， bone microvascular endothelial cell （BMEC） apoptosis， oxidative stress， and inflammatory responses. The phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） signaling pathway plays a pivotal role in the development of the disease. Modulating the PI3K/Akt signaling pathway can promote Akt phosphorylation， thereby stimulating the osteogenic differentiation of bone marrow mesenchymal stem cells and osteoblasts， promoting angiogenesis in BMECs， and inhibiting osteoclastogenesis. The research on the treatment of SONFH with traditional Chinese medicine （TCM） has gained increasing attention. Recent studies have shown that TCM monomers and compounds have potential therapeutic effect on SONFH by intervening in the PI3K/Akt signaling pathway. These studies not only provide a scientific basis for the application of TCM in the treatment of SONFH but also offer new ideas for the development of new therapeutic strategies. This review summarized the progress in Chinese and international research on the PI3K/Akt signaling pathway in SONFH over the past five years. It involved the composition and transmission mechanisms of the signaling pathway， as well as its regulatory effects on osteoblasts， mesenchymal stem cells， osteoclasts， BMECs， and other cells. Additionally， the review explored the TCM understanding of SONFH and the application of TCM monomers and compounds in the intervention of the PI3K/Akt pathway. By systematically analyzing and organizing these research findings， this article aimed to provide references and point out directions for the clinical prevention and treatment of SONFH and promote further development of TCM in this field. With in-depth research on the PI3K/Akt pathway and the modern application of TCM， it is expected to bring safer and more effective treatment options for patients with SONFH.

OBJECTIVE To systematically review the pharmacoeconomic evaluation literature about proprotein convertase subtilisin/kexin type 9 （PCSK9） inhibitors for the prevention of cardiovascular disease in patients with hypercholesterolemia， and to provide a reference for clinical treatment， health decision-making and future follow-up research. METHODS Retrieved from English and Chinese databases such as PubMed and CNKI， the pharmacoeconomic literature about PCSK9 inhibitors （evolocumab and alirocumab） for the prevention of cardiovascular disease in patients with hypercholesterolemia was collected from the establishment of the database to October 8， 2023. The quality of the included literature was assessed with Consolidated Health Economic Evaluation Reporting Standards 2022 （CHEERS 2022） scale. The descriptive analysis was performed for basic information， model structure， related parameters， sensitivity analysis and the results of included studies. RESULTS & CONCLUSIONS A total of 29 literature were included， with overall good quality. The evaluation mainly adopted the Markov model from the healthcare system， payer and societal perspective. The effectiveness and utility data mainly came from the previous studies； the direct cost was mainly considered with a discount rate of 1.5%-5.0% per year， while the willingness-to-pay threshold was often set at 1-3 times the gross domestic product per capita. Most health output indicators were measured in life years and quality-adjusted life years. The sensitivity analysis of most studies demonstrated the robustness and the main influential factor was the drug cost. Most Chinese studies showed that PCSK9 inhibitor was not cost-effective for the prevention of cardiovascular disease in patients with acute coronary syndrome， myocardial infarction and atherosclerotic cardiovascular disease. It was cost-effective to use PCSK9 inhibitors for the prevention of cardiovascular disease only in specific groups， such as patients with triple vessel disease， patients with newly diagnosed acute coronary syndrome and low-density lipoprotein cholesterol≥100 mg/dL. Future research should refer to the CHEERS 2022 scale to improve the design， and strive to select large-scale， high-quality data to enhance the quality of reports and the transparency of health decisions， so as to more accurately assess the cost-effectiveness of PCSK9 inhibitors.

Objective: To analyze the characteristics of influenza virus detection in an influenza outbreak in schools, so as to provide a strategic basis for the treatment of influenza outbreaks in schools. Methods: A total of 1 702 samples were collected from 52 school influenza outbreaks reported in Linyi City in 2021-2022. The samples were divided into 3 types according to different symptoms during the management of the epidemic [group A:influenzalike illness (ILI) group; group B:mild illness group; group C:close contacts group]. Rt-PCR was used to detect influenza virus nucleic acid in the collected samples. The detection rate of influenza virus in the outbreaks was analyzed by χ2 test. Results: In total, 1 071 samples (62.93%) tested positive for influenza virus nucleic acid. Among them, 610 out of 726 samples (84.02%) were detected in group A, while 331 out of 634 samples (52.21%) were detected in group B. In group C, 130 out of 342 samples (38.01%) tested positive. The differences were statistically significant (χ2=260.71, P<0.01). In group A, males had a detection rate of 80.83% for influenza virus nucleic acid, compared to 91.36% for females. For group B, the rates were 53.31% for males and 50.87% for females. In group C, males had a rate of 30.72%, while females had a rate of 43.92%. Statistical significance for gender differences was observed only in groups A and C (χ2=12.67, 6.25, P<0.05). According to the days of onset, the detection rates of influenza virus nucleic acid among patients with onset 0-6 days were 56.30%, 74.49%, 89.35%, 86.23%, 69.67%, 62.75%, 34.33%, respectively, and the difference was statistically significant (χ2=128.27, P<0.01). Conclusions Mild cases and close contacts are likely key factors contributing to the prolonged emergence of new cases within classrooms during school influenza outbreaks. The progression of influenza symptoms is related to the risk of transmission.

ObjectiveTo investigate the impact of icariin （ICA） on autophagy in glucocorticoid-induced bone microvascular endothelial cells （BMECs） mediated by the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR） signaling pathway. MethodBMECs were isolated and cultured from femoral heads obtained during total hip arthroplasty and identified using immunofluorescence staining. The experimental cells were divided into four groups： A control group， a glucocorticoid group （100 mg·L^-1 hydrocortisone）， an ICA group （100 mg·L^-1 hydrocortisone+6.7×10^-3 mg·L^-1 ICA）， and a Rapamycin group （100 mg·L^-1 hydrocortisone+6.7×10^-3 mg·L^-1 ICA+1 mg·L^-1 rapamycin）. Autophagy in BMECs was induced using 100 mg·L^-1 hydrocortisone. LC3 fluorescence staining was used to observe the peak of autophagy at different time points. Western blot analysis was employed to analyze the expression of autophagy-related proteins and PI3K/Akt/mTOR pathway proteins in each group. Electron microscopy was used to observe autophagosomes and autolysosomes in the cells. ResultHydrocortisone at 100 mg·L^-1 induced autophagy in BMECs， reaching a peak at around 5 hours， which then declined with further intervention. Compared to the control group， the glucocorticoid group showed cell membrane damage， disordered organelle arrangement， and a large number of autophagosomes and autolysosomes. Compared to the glucocorticoid group， the ICA group had more intact cell membranes， sparser organelle arrangement， and fewer autophagosomes and autolysosomes. Compared to the ICA group， the Rapamycin group showed cell membrane damage， disordered organelle arrangement， and more autophagosomes and autolysosomes. Compared to the control group， the glucocorticoid group had significantly increased expression of light chain 3B （LC3B）， Atg4B， and p62 （P<0.01）. Compared to the glucocorticoid group， the ICA group showed significantly decreased expression of LC3B， Atg4B， p62， and Beclin-1 （P<0.01）. Compared to the ICA group， the Rapamycin group had significantly increased expression of Atg4B and p62 （P<0.01）. Compared to the control group， the glucocorticoid group had significantly decreased expression of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR （P<0.01）. Compared to the glucocorticoid group， the ICA group showed significantly increased expression of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR （P<0.01）. Compared to the ICA group， the Rapamycin group had significantly decreased expression of p-PI3K/PI3K， p-Akt/Akt， and p-mTOR/mTOR （P<0.01）. Ubiquitination levels were significantly decreased in the glucocorticoid group compared to the control group （P<0.01）. Compared to the glucocorticoid group， ubiquitination levels were significantly increased in the ICA group （P<0.01）， and significantly decreased in the Rapamycin group compared to the ICA group （P<0.01）. ConclusionThe glucocorticoid-induced autophagy in BMECs is time-dependent. ICA inhibits glucocorticoid-induced autophagy in BMECs， and this effect may be related to the regulation of the PI3K/Akt/mTOR pathway.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.

Objective To explore the mechanism of Tongyangxiao Lotion(TYX)for promoting wound healing following surgery for anal fistula.Methods The active ingredients and drug targets of TYX were explored using TCMSP and BATMAN databases,and the targets associated with wound healing were screened using GeneCards and OMIM databases;the intersecting drug and wound-related targets were analyzed with protein-protein interaction(PPI)analysis and GO and KEGG enrichment analyses.In 25 SD rat models with simulated anal fistula surgery,the effect of wound dressing with TYX at low,medium and high doses(once daily for 14 days)on wound healing were assessed in comparison with potassium permanganate(PP)solution.The granulation tissues collected from the wounds were examined for pathological changes with HE staining and for TNF-α expression using immunohistochemistry.The expressions of 1β,TNF-α,IL-6 mRNA and proteins in the granulation tissue were detected using RT-qPCR,Western blotting or ELISA.Results Network pharmacology analysis yielded 156 common targets between TYX and wound healing,and among them IL-1β,TNF-α,and IL-6 were identified as potential targets of TYX for promoting wound healing.Six core components of TYX were capable of binding to IL-1β,TNF-α,and IL-6 with binding energies all below-6.0 Kcal/mol.In the rat models,the wounds with TYX and PP solution dressing showed significantly reduced inflammatory cell infiltration and increased fibroblasts and collagen deposition.TYX at the 3 doses and PP solution all significantly reduced the expressions of IL-6,IL-1β,TNF-α mRNA and IL-6 protein in the granulation tissues,but TYX at the medium and high doses produced significantly stronger effects than PP solution for lowering TNF-α protein expression and mRNA expressions of TNF-α and IL-6.Conclusion TYX accelerates wound healing by down-regulating the inflammatory factors and reducing inflammation in the wounds.

OBJECTIVE To explore the molecular mechanism of Compound Dihuang Granule in treating Parkinson's disease(PD)with yin-deficiency and dynamic wind syndrome by regulating the changes of ubiquitin-proteasome system-related proteins.METHODS SPF male SD rats were randomly selected as normal control group and sham operation group,13 rats in each group.The remaining rats were treated with 6-hydroxydopamine lateral brain injection to damage the substantia nigra to establish PD yin-deficien-cy and dynamic wind syndrome rat model.The established rats were randomly divided into model group,madopar group(150 mg·kg-1),low,medium and high dose groups of Compound Dihuang Granule(1.75,3.5,7 g·kg-1),13 rats in each group.Each group was given drugs by intragastric gavage for 28 d.The general conditions and neurobehavioral manifestations of the rats were observed;the expression of ubiquitin(UB),ubiquitin activating enzyme(UBE1),ubiquitin conjugating enzyme(UBE2A)and ubiquitin carboxyl terminal hydrolase(UCH-L1)positive cells,protein and mRNA expression levels in the damaged lateral stria-tum of the brain of rats were detected by immunohistochemistry,Western blot and qPCR methods;changes of dopamine(DA)content in the damaged lateral striatum of the brain of rats were detected by ELISA.RESULTS There was no significant difference in general conditions between the normal control group and the sham operation group,and there was no significant difference in the number of ro-tations,suspension time and number of moving grids.Compared to the sham-op group,the model group rats showed poor spirit,irrita-bility,limb tremor,slow movement,dark yellow fur,less food intake,reduced body weight;the modeling increased number of rota-tions,decreased hanging time and number of moving grids(P<0.01),significantly decreased expression of UB,UBE1,UBE2A,and UCH-L1 positive cells,mRNA and protein expression levels in the damaged lateral striatum(P<0.01),and significantly decreased DA content(P<0.01).Compared with the model group,the general condition of the rats in the madopar group and Compound Di-huang Granule groups was improved,the number of rotations was reduced,the hanging time and number of moving grids were increased(P<0.05,P<0.01),the expression of UB,UBE1,UBE2A,and UCH-L1 positive cells,mRNA and protein expression levels were increased(P<0.05,P<0.01),and the DA content was increased(P<0.01);behavioral tests and the expression levels of various in-dicators were most significantly improved in the madopar group and the high-dose Compound Dihuang Granule group(P<0.05,P<0.01),and there was no statistical significance between the two groups.CONCLUSION Compound Dihuang Granule may play a role in treating PD yin-deficiency and dynamic wind syndrome by regulating the expression of ubiquitin-proteasome system-related proteins,reducing abnormal protein aggregation,and thus alleviating DA content deficiency,and the high-dose Compound Dihuang Granule has the best effect.

Background::Dilated cardiomyopathy (DCM) has a high mortality rate and is the most common indication for heart transplantation. Our study sought to develop a multiparametric nomogram to assess individualized all-cause mortality or heart transplantation (ACM/HTx) risk in DCM patients.Methods::The present study is a retrospective cohort study. The demographic, clinical, blood test, and cardiac magnetic resonance imaging (CMRI) data of DCM patients in the tertiary center (Fuwai Hospital) were collected. The primary endpoint was ACM/HTx. The least absolute shrinkage and selection operator (LASSO) Cox regression model was applied for variable selection. Multivariable Cox regression was used to develop a nomogram. The concordance index (C-index), area under the receiver operating characteristic curve (AUC), calibration curve, and decision curve analysis (DCA) were used to evaluate the performance of the nomogram.Results::A total of 218 patients were included in the present study. They were randomly divided into a training cohort and a validation cohort. The nomogram was established based on eight variables, including mid-wall late gadolinium enhancement, systolic blood pressure, diastolic blood pressure, left ventricular ejection fraction, left ventricular end-diastolic diameter, left ventricular end-diastolic volume index, free triiodothyronine, and N-terminal pro-B type natriuretic peptide. The AUCs regarding 1-year, 3-year, and 5-year ACM/HTx events were 0.859, 0.831, and 0.840 in the training cohort and 0.770, 0.789, and 0.819 in the validation cohort, respectively. The calibration curve and DCA showed good accuracy and clinical utility of the nomogram.Conclusions::We established and validated a circulating biomarker- and CMRI-based nomogram that could provide a personalized prediction of ACM/HTx for DCM patients, which might help risk stratification and decision-making in clinical practice.

Objective To develop an intelligent model for differential diagnosis of atrioventricular nodal re-entrant tachycardia(AVNRT)and atrioventricular re-entrant tachycardia(AVRT)using 12-lead wearable electrocardiogram devices.Methods A total of 356 samples of 12-lead supraventricular tachycardia(SVT)electrocardiograms recorded by wearable devices were randomly divided into training and validation sets using 5-fold cross validation to establish the intelligent classification model,and 101 patients with the diagnosis of SVT undergoing electrophysiological studies and radiofrequency ablation from October,2021 to March,2023 were selected as the testing set.The changes in electrocardiogram parameters before and during induced tachycardia were compared.Based on multiscale deep neural network,an intelligent diagnosis model for classifying SVT mechanisms was constructed and validated.The 3-lead electrocardiogram signals from Ⅱ,Ⅲ,and V1 were extracted to build new classification models,whose diagnostic efficacy was compared with that of the 12-lead model.Results Of the 101 patients with SVT in the testing set,68 were diagnosed with AVNRT and 33 were diagnosed with AVRT by electrophysiological study.The pre-trained model achieved a high area under the precision-recall curve(0.9492)and F1 score(0.8195)for identifying AVNRT in the validation set.The total F1 scores of the lead Ⅱ,Ⅲ,V1,3-lead and 12-lead intelligent diagnostic models in the testing set were 0.5597,0.6061,0.3419,0.6003 and 0.6136,respectively.Compared with the 12-lead classification model,the lead-Ⅲ model had a net reclassification index improvement of-0.029(P=0.878)and an integrated discrimination index improvement of-0.005(P=0.965).Conclusion The intelligent diagnostic model based on multiscale deep neural network using wearable electrocardiogram devices has an acceptable accuracy for classifying SVT mechanisms.