OBJECTIVE: Baicalein has been reported to have wide therapeutic effects that act through its anti-inflammatory activity. This study examines the effect and mechanism of baicalein on sepsis-induced cardiomyopathy (SIC). METHODS: A thorough screening of a small library of natural products, comprising 100 diverse compounds, was conducted to identify the most effective drug against lipopolysaccharide (LPS)-treated H9C2 cardiomyocytes. The core target proteins and their associated signaling pathways involved in baicalein's efficacy against LPS-induced myocardial injury were predicted by network pharmacology. RESULTS: Baicalein was identified as the most potent protective agent in LPS-exposed H9C2 cardiomyocytes. It exhibited a dose-dependent inhibitory effect on cell injury and inflammation. In the LPS-induced septic mouse model, baicalein demonstrated a significant capacity to mitigate LPS-triggered myocardial deficits, inflammatory responses, and ferroptosis. Network pharmacological analysis and experimental confirmation suggested that hypoxia-inducible factor 1 subunit α (HIF1-α) is likely to be the crucial factor in mediating the impact of baicalein against LPS-induced myocardial ferroptosis and injury. By combining microRNA (miRNA) screening in LPS-treated myocardium with miRNA prediction targeting HIF1-α, we found that miR-299b-5p may serve as a regulator of HIF1-α. The reduction in miR-299b-5p levels in LPS-treated myocardium, compared to the control group, was reversed by baicalein treatment. The reverse transcription quantitative polymerase chain reaction, Western blotting, and dual-luciferase reporter gene analyses together identified HIF1-α as the target of miR-299b-5p in cardiomyocytes. CONCLUSION Baicalein mitigates SIC at the miRNA level, suggesting the therapeutic potential of it in treating SIC through the regulation of miR-299b-5p/HIF1-α/ferroptosis pathway. Please cite this article as: Zhou WY, Du JK, Liu HH, Deng L, Ma K, Xiao J, Zhang S, Wang CN. Baicalein attenuates lipopolysaccharide-induced myocardial injury by inhibiting ferroptosis via miR-299b-5p/HIF1-α pathway. J Integr Med. 2025; 23(5):560-575.
Flavanones/pharmacology* ; Animals ; MicroRNAs/genetics* ; Lipopolysaccharides ; Hypoxia-Inducible Factor 1, alpha Subunit/genetics* ; Ferroptosis/drug effects* ; Mice ; Myocytes, Cardiac/metabolism* ; Signal Transduction/drug effects* ; Rats ; Male ; Mice, Inbred C57BL ; Cardiomyopathies/etiology* ; Cell Line ; Sepsis/complications*

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics. Similarities and variations of components present significant analytical challenges. A two-dimensional (2D) liquid chromatography-mass spectrometr (LC-MS) method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium (CMS). A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated. For efficient and high-accuracy screening of CMS, a targeted method based on a self-constructed high resolution (HR) mass spectrum database of CMS components was established. The database was built based on the commercial MassHunter Personal Compound Database and Library (PCDL) software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening. On this basis, the unknown peaks in the CMS chromatograms were deduced and assigned. The molecular formula, group composition, and origins of a total of 99 compounds, of which the combined area percentage accounted for more than 95% of CMS components, were deduced by this 2D-LC-MS method combined with the MassHunter PCDL. This profiling method was highly efficient and could distinguish hundreds of components within 3 h, providing reliable results for quality control of this kind of complex drugs.

Objective:To explore the effectiveness of the scaffolding teaching mode from the perspective of deep learning in basic nursing techniques course.Methods:From September 2023 to June 2024, 324 nursing students at Suzhou Vocational Health College in the 2023 cohort were selected as research subjects using convenience sampling. Three classes were designated as experimental group ( n=167), and three classes were designated as control group ( n=157). Control group received the traditional teaching mode, while experimental group received a scaffolding teaching mode from the perspective of deep learning on the basis of control group. Teaching effectiveness was evaluated using course grades, the Academic Self-Efficacy Scale, and the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates. Results:A total of 324 questionnaires were distributed and 324 valid questionnaires were collected, with a valid response rate of 100.00% (324/324). After teaching, the experimental group's nursing course grades were statistically higher than those of the control group ( P<0.05). After teaching, the experimental group's nursing students demonstrated statistically higher total scores and scores across all dimensions on the Academic Self-Efficacy Scale compared to the control group ( P<0.01). After teaching, the experimental group of nursing students scored statistically higher than the control group on the total score of the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates, as well as on the dimensions of self-management and learning cooperation ability ( P<0.01) . Conclusions:The implementation of the scaffolding teaching mode from the perspective of deep learning for basic nursing techniques course enhances vocational nursing students' academic performance, academic self-efficacy, and autonomous learning competencies.

Objective:To investigate the role of platelet-derived zyxin in promoting tumor migration by platelets.Methods:The gene expression profile of platelets was analyzed from cancer patients by using the GEO database.Isolated platelets from wild-type(WT)and Zyx-/-mice were co-cultured with B16F10 cells labeled with green fluorescence to investigate the influence of zyxin deficiency on tumor cell migration,invasion,and wound healing.Optical microscopy was employed to evaluate the impact of zyxin deficiency on epithelial-mesenchymal transition(EMT)in B16F10 cells induced by platelets.Employing specific markers to label platelets,fluorescence confocal microscopy was utilized to investigate the impact of platelet-derived zyxin on the binding between tumor cells and platelets.And an aggregometer was employed to observe the influence of zyxin deficiency on tumor cell-induced platelet aggregation.Results:Compared to platelets from healthy volunteers,zyxin was upregulated in platelets from cancer patients.Zyx-/-mouse platelets exhibited a significant reduction in tumor cell invasion and migration,impaired wound healing,and delayed tumor cell EMT compared to WT mouse platelets.Additionally,zyxin deficiency attenuated the interaction between platelets and tumor cells,and diminished the capacity for tumor cell-induced platelet aggregation.Conclusion:Platelet-derived zyxin deficiency diminishes platelet-tumor cell interactions and weakens the ability of tumor cell-induced platelet aggregation,ultimately suppressing tumor cell migration.

Objective:To explore the effectiveness of the scaffolding teaching mode from the perspective of deep learning in basic nursing techniques course.Methods:From September 2023 to June 2024, 324 nursing students at Suzhou Vocational Health College in the 2023 cohort were selected as research subjects using convenience sampling. Three classes were designated as experimental group ( n=167), and three classes were designated as control group ( n=157). Control group received the traditional teaching mode, while experimental group received a scaffolding teaching mode from the perspective of deep learning on the basis of control group. Teaching effectiveness was evaluated using course grades, the Academic Self-Efficacy Scale, and the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates. Results:A total of 324 questionnaires were distributed and 324 valid questionnaires were collected, with a valid response rate of 100.00% (324/324). After teaching, the experimental group's nursing course grades were statistically higher than those of the control group ( P<0.05). After teaching, the experimental group's nursing students demonstrated statistically higher total scores and scores across all dimensions on the Academic Self-Efficacy Scale compared to the control group ( P<0.01). After teaching, the experimental group of nursing students scored statistically higher than the control group on the total score of the Measure Scale of Autonomous Learning Competencies of Nursing Undergraduates, as well as on the dimensions of self-management and learning cooperation ability ( P<0.01) . Conclusions:The implementation of the scaffolding teaching mode from the perspective of deep learning for basic nursing techniques course enhances vocational nursing students' academic performance, academic self-efficacy, and autonomous learning competencies.

In-depth study of the components of polymyxins is the key to controlling the quality of this class of antibiotics.Similarities and variations of components present significant analytical challenges.A two-dimensional(2D)liquid chromatography-mass spectrometry(LC-MS)method was established for screening and comprehensive profiling of compositions of the antibiotic colistimethate sodium(CMS).A high concentration of phosphate buffer mobile phase was used in the first-dimensional LC system to get the components well separated.For efficient and high-accuracy screening of CMS,a targeted method based on a self-constructed high resolution(HR)mass spectrum database of CMS components was established.The database was built based on the commercial MassHunter Personal Compound Database and Library(PCDL)software and its accuracy of the compound matching result was verified with six known components before being applied to genuine sample screening.On this basis,the unknown peaks in the CMS chromatograms were deduced and assigned.The molecular formula,group composition,and origins of a total of 99 compounds,of which the combined area percentage accounted for more than 95％of CMS components,were deduced by this 2D-LC-MS method combined with the MassHunter PCDL.This profiling method was highly efficient and could distinguish hundreds of components within 3 h,providing reliable results for quality control of this kind of complex drugs.

Objective:To investigate the role of platelet-derived zyxin in promoting tumor migration by platelets.Methods:The gene expression profile of platelets was analyzed from cancer patients by using the GEO database.Isolated platelets from wild-type(WT)and Zyx-/-mice were co-cultured with B16F10 cells labeled with green fluorescence to investigate the influence of zyxin deficiency on tumor cell migration,invasion,and wound healing.Optical microscopy was employed to evaluate the impact of zyxin deficiency on epithelial-mesenchymal transition(EMT)in B16F10 cells induced by platelets.Employing specific markers to label platelets,fluorescence confocal microscopy was utilized to investigate the impact of platelet-derived zyxin on the binding between tumor cells and platelets.And an aggregometer was employed to observe the influence of zyxin deficiency on tumor cell-induced platelet aggregation.Results:Compared to platelets from healthy volunteers,zyxin was upregulated in platelets from cancer patients.Zyx-/-mouse platelets exhibited a significant reduction in tumor cell invasion and migration,impaired wound healing,and delayed tumor cell EMT compared to WT mouse platelets.Additionally,zyxin deficiency attenuated the interaction between platelets and tumor cells,and diminished the capacity for tumor cell-induced platelet aggregation.Conclusion:Platelet-derived zyxin deficiency diminishes platelet-tumor cell interactions and weakens the ability of tumor cell-induced platelet aggregation,ultimately suppressing tumor cell migration.

Objective:To investigate the effects of oridonin on platelet function and related mechanisms.Methods:Washed platelets from healthy adults and mice were incubated with different concentrations of oridonin(2.5,5 and 10μmol/L)in vitro.The surface expression level of P-selectin and the activation of integrin αⅡbβ3 in platelets were detected by flow cytometry,and the aggregation ability of platelets under the stimulation by various agonists was detected by light transmission aggregometry.The expression of P-AKT(Ser473)was detected by protein immunoblotting.Arterial thrombosis model was established in mice with mesenteric injury induced by ferric chloride,and tail hemorrhage model was established by cutting off the tail of mice.The effect of intraperitoneal injection of oridonin(10 mg/kg)on thrombosis and haemostasis was tested.Results:Oridonin inhibited platelet P-selectin expression and integrin αⅡbβ3 activation.In the presence of different stimulants,oridonin inhibited platelet aggregation in a concentration-dependent manner.The phosphorylation level of AKT Ser473 was reduced in the groups treated with different concentrations of oridonin.Oridonin significantly prolonged the time of mesenteric artery thrombosis in mice,but did not affect the tail bleeding time.Conclusion:Oridonin inhibits platelet activation,aggregation,and thrombosis by inhibiting AKT phosphorylation,and may be used as a potential antiplatelet drug.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Objective To construct a non-drug intervention program for acute chemotherapy-related nausea and vomiting in children with cancer and to evaluate its efficacy.Methods Through literature review and Delphi expert correspondence,a non-drug intervention program for acute chemotherapy-related nausea and vomiting in children with cancer was constructed.By the convenience sampling method,200 consecutive children who received chemotherapy in the neurosurgery department of a tertiary children's hospital in Zhejiang province from February 1 to October 31,2023 were included as the application subjects,with 100 cases in an experimental group and 100 cases in a control group.The experimental group applied the non-drug intervention program of acute chemotherapy-related nausea and vomiting in children with cancer,and the routine measures were applied in the control group.The incidence of nausea and vomiting,severity of vomiting,compliance rate of normal sleep duration and incidence of negative emotions were compared between the 2 groups.Results The recovery rate of the valid questionnaire in 2 rounds of expert letter inquiry was 100％,and the expert authority coefficient was 0.836.The Kendall harmony coefficients were 0.471 and 0.820(P＜0.001),and the final non-drug intervention program for pediatric acute chemotherapy-related nausea and vomiting included 5 primary,14 secondary and 18 tertiary items.The results showed that the incidence of nausea,vomiting and negative emotions in the experimental group were lower than that in the control group,with statistically significant differences(P＜0.05).The severity of vomiting was less than it in the control group,with statistically significant difference(P＜0.05).The standard rate of normal sleep time was higher than that of the control group,and the difference was statistically significant(all P＜0.05).Conclusion The non-drug intervention program of chemotherapy-related nausea and vomiting in children is scientific and feasible,and the implementation of the program can reduce the incidence of nausea,vomiting and negative emotions,reduce the severity of vomiting,and improve the standard rate of normal bedtime in children.