Background Prenatal exposure to fine particulate matter (PM_2.5) is closely associated with cortical damage and neuroinflammation in offspring. The cyclic guanosine monophosphate–adenosine monophosphate synthase (cGAS)–stimulator of interferon genes (STING) signaling pathway is a key regulator of inflammation and may be subject to epigenetic regulation. Objective To investigate the role of cGAS-STING pathway activation in PM_2.5-induced cortical damage in offspring mice during pregnancy and the underlying epigenetic regulatory mechanisms. Methods Open field tests were used to assess depressive-like behavior in offspring mice. Morphological analysis was conducted to evaluate cortical damage and microglial activation in offspring brains. Real-time fluorescent quantitative PCR (RT-qPCR) and Western blot (WB) were performed to detect changes in the expression of key molecules in the cGAS-STING pathway in cortical tissue. A PM_2.5-induced microglial cell injury model was established in BV2 cells. Microglial activation was observed, cell viability was measured using the Cell Counting Kit-8 (CCK-8), and the expression levels of inducible nitric oxide synthase (iNOS) and key molecules in the cGAS-STING pathway were detected by RT-qPCR and WB. Bioinformatics analysis was performed to explore the epigenetic regulatory association between the STING signaling pathway and lysine-specific demethylase 5A (KDM5A). Changes in KDM5A mRNA and protein expression, as well as the protein level of histone H3 lysine 4 trimethylation (H3K4me3), were detected in an in vitro PM_2.5 injury model. Using small interfering RNA (siRNA) technology, the KDM5A gene was silenced in BV2 cells exposed to PM_2.5. The protein expression of H3K4me3 was detected to evaluate improvements in microglial activation, changes in inflammatory markers such as iNOS and mannose receptor (CD206), and alterations in the cGAS-STING pathway. Results Compared with the control group, the total distance of offspring mice in the PM_2.5 group was significantly reduced, and both the distance traveled and the time spent in the central area of the open field were significantly decreased (P<0.01, P<0.001), indicating depressive-like behavior in the offspring mice. Compared with the control group, the offspring mice in the PM_2.5 group exhibited disorganized cortical structure and significantly activated microglia (P<0.01), with significantly increased mRNA and protein levels of cGAS and STING (P<0.05, P<0.01, or P<0.001). The in vitro experiments demonstrated that the PM_2.5 treatment induced BV2 cells to polarize toward the M1 phenotype, exhibiting a distinct amoeboid morphology, with upregulated expression of the pro-inflammatory factor iNOS (P<0.05, P<0.01, or P<0.001) and activation of the cGAS-STING pathway (P<0.05, P<0.01). The analysis of RNA-seq data from KDM5A knockout cells revealed significantly downregulated STING expression, suggesting that KDM5A may activate the STING signaling pathway. The in vitro experiments further confirmed that the PM_2.5-treated BV2 cells exhibited significantly elevated mRNA and protein levels of KDM5A (P<0.01), while the H3K4me3 protein levels were markedly reduced (P<0.05). After silencing KDM5A in BV2 cells exposed to PM_2.5, compared with the PM_2.5+siNC group, the PM_2.5+siKDM5A group showed no obvious microglial activation and polarized toward the M2 phenotype, with significantly decreased expression levels of iNOS, cluster of differentiation 16 (CD16), and interleukin-1β (P<0.05, P<0.01), and significantly increased expression levels of anti-inflammatory factors CD206, YM1, and interleukin-10 (P<0.01, P<0.001). Meanwhile, the expression levels of cGAS and STING were also reduced (P<0.05, P<0.01). Conclusion KDM5A activates microglia through the cGAS-STING pathway, thereby contributing to PM_2.5-induced cortical damage in offspring mice during pregnancy.

Chronic heart failure （CHF） is an end-stage cardiac syndrome driven by multiple factors. Its pathological process involves interactions of multiple pathways such as energy metabolism dysfunction， neuroendocrine dysregulation， and myocardial fibrosis. Although current clinical medicine can alleviate symptoms through single-target approaches， significant limitations in reversing cardiac remodeling and disease progression remain. Puerarin， a major bioactive isoflavone constituent derived from Pueraria lobata， exhibits multidimensional pharmacological effects， such as vasodilatory effects， regulation of neuroendocrine balance， enhancement of metabolic homeostasis， and suppression of myocardial apoptosis. This review systematically integrated puerarin's multi-target regulatory network， elucidating its mechanisms such as improving energy metabolism by AMP-activated protein kinase/mechanistic target of rapamycin （AMPK/mTOR） pathway， inhibiting fibrosis mediated by transforming growth factor-β （TGF-β）/Smad signals， and attenuating oxidative-inflammatory cascades by regulating nuclear factor erythroid 2 （E₂）-related factor 2/nuclear transcription factor-κB（Nrf2/NF-κB） axis. Clinical research data was used to validate its efficacy in improving the left ventricular ejection function and reducing the therapeutic potential of cardiovascular events' risks. The study proposed that puerarin's "systemic regulation" characteristic breaks through the limitations of traditional single-target drugs and prospected its clinical translation pathway based on metabolomics and nano-delivery technology， offering an integrative perspective from molecular mechanisms to precise therapy for the research on modernization of traditional Chinese medicine.

Chronic heart failure （CHF） is an end-stage cardiac syndrome driven by multiple factors. Its pathological process involves interactions of multiple pathways such as energy metabolism dysfunction， neuroendocrine dysregulation， and myocardial fibrosis. Although current clinical medicine can alleviate symptoms through single-target approaches， significant limitations in reversing cardiac remodeling and disease progression remain. Puerarin， a major bioactive isoflavone constituent derived from Pueraria lobata， exhibits multidimensional pharmacological effects， such as vasodilatory effects， regulation of neuroendocrine balance， enhancement of metabolic homeostasis， and suppression of myocardial apoptosis. This review systematically integrated puerarin's multi-target regulatory network， elucidating its mechanisms such as improving energy metabolism by AMP-activated protein kinase/mechanistic target of rapamycin （AMPK/mTOR） pathway， inhibiting fibrosis mediated by transforming growth factor-β （TGF-β）/Smad signals， and attenuating oxidative-inflammatory cascades by regulating nuclear factor erythroid 2 （E₂）-related factor 2/nuclear transcription factor-κB（Nrf2/NF-κB） axis. Clinical research data was used to validate its efficacy in improving the left ventricular ejection function and reducing the therapeutic potential of cardiovascular events' risks. The study proposed that puerarin's "systemic regulation" characteristic breaks through the limitations of traditional single-target drugs and prospected its clinical translation pathway based on metabolomics and nano-delivery technology， offering an integrative perspective from molecular mechanisms to precise therapy for the research on modernization of traditional Chinese medicine.

The study focuses on the concept of multifunctional traditional Chinese medicine (TCM) formulas and aims to evaluate the efficacy of the classical formula Xiaoyao San (逍遥散). Study employs the integrated evidence chain (Eff-iEC) method to organize, integrate, and evaluate its therapeutic efficacy in treating different diseases with the same therapy, and to investigate the feasibility of using Eff-iEC to evaluate the multifunctionality of TCM formulas. The evaluation covered Xiaoyao San's therapeutic effects on depression, premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Concurrently, the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system was used for evaluation, and authoritative medical documents were incorporated to corroborate the recognition of Xiaoyao San within the medical community. Depression and menopausal syndrome received higher ratings than other conditions in the Eff-iEC, GRADE, and Medical Community Recognition assessments. The Eff-iEC evidence grade for Xiaoyao San was rated as "High" or above for chronic hepatitis, irritable bowel syndrome, dyspepsia, and menopausal syndrome. Premenstrual syndrome received a "Moderate ⁺" rating. The GRADE evidence level was "Low-〇〇⨁⨁" for depression, premenstrual syndrome, and chronic hepatitis; "Moderate-〇⨁⨁⨁" for dyspepsia and menopausal syndrome; and "Very Low-〇〇〇⨁" for irritable bowel syndrome. Depression and menopausal syndrome had the highest inclusion frequency, appearing in all 4 categories. Premenstrual syndrome, chronic hepatitis, and dyspepsia are not recommended in Western medical guidelines, but they are included in TCM guidelines, the China National Basic Medical Insurance Drug List, and the China National Essential Drug List. Irritable bowel syndrome appears only in the China National Basic Medical Insurance Drug List and China National Essential Drug List. The evaluation results obtained using the Eff-iEC method align with Medical Community Recognition, providing an objective and comprehensive assessment of Xiaoyao San's efficacy. The findings suggest that Xiaoyao San has strong evidence for treating depression and menopausal syndrome. However, further experimental and clinical trials are needed to assess its efficacy in treating premenstrual syndrome, chronic hepatitis, irritable bowel syndrome, and dyspepsia. These results support the clinical efficacy and rational use of Xiaoyao San, expand the application scope of the Eff-iEC method, and offer valuable insights and methodological references for the comparative evaluation of multifunctional TCM formulas.

BACKGROUND:U937 cells can be used as a cell model for studying the biological characteristics,signaling pathways,and therapeutic targets of acute myeloid leukemia.Although it has been reported that long non-coding RNA KIAA0125 is highly expressed in acute myeloid leukemia,its biological function in U937 cells remains unclear,and its mechanism of action in the occurrence and development of acute myeloid leukemia needs to be further clarified. OBJECTIVE:To investigate the expression level of long non-coding RNA KIAA0125 in peripheral blood of patients with acute myeloid leukemia and its effect on the proliferation and apoptosis of U937 cells. METHODS:RNA-sequencing was used to analyze the bone marrow monocyte samples from acute myeloid leukemia patients,and the differentially expressed gene long non-coding RNA KIAA0125 was screened.The expression of long non-coding RNA KIAA0125 in peripheral blood of patients with acute myeloid leukemia was detected by qRT-PCR.The relationship between long non-coding RNA KIAA0125 mRNA expression and prognosis in bone marrow cells of 173 acute myeloid leukemia patients and 70 healthy people was statistically analyzed by GEPIA database.Subsequently,recombinant lentivirus technology and CRISPR/Cas9-SAM technology were used to construct U937 cell lines with knockdown/overexpression of long non-coding RNA KIAA0125.qRT-PCR was used to detect the knockdown/overexpression efficiency of long non-coding RNA KIAA0125.Next,CCK-8 assay,flow cytometry,and western blot assay were used to detect the effects of knockdown/overexpression of long non-coding RNA KIAA0125 on the proliferation and apoptosis of U937 cells.Finally,western blot assay was used to detect the effect of knockdown/overexpressed long non-coding RNA KIAA0125 on Wnt/β-catenin signaling pathway-related proteins. RESULTS AND CONCLUSION:(1)The results of qRT-PCR showed that long non-coding RNA KIAA0125 was highly expressed in peripheral blood of acute myeloid leukemia patients.The results of GEPIA database showed that long non-coding RNA KIAA0125 was highly expressed in bone marrow cells of acute myeloid leukemia patients,and the high expression group had worse overall survival.(2)The knockdown efficiency of long non-coding RNA KIAA0125 in knockdown group was 70%,and the U937 cells that stably down-regulated long non-coding RNA KIAA0125 expression were successfully constructed.The expression of long non-coding RNA KIAA0125 in overexpression group was four times that of vector group,and stable U937 cells were successfully constructed.(3)Knockdown of long non-coding RNA KIAA0125 inhibited the proliferation of U937 cells and promoted their apoptosis.Overexpression of long non-coding RNA KIAA0125 promoted the proliferation of U937 cells but had no significant effect on the apoptosis of U937 cells.(4)Knockdown of long non-coding RNA KIAA0125 inhibited the activity of Wnt/β-catenin signaling pathway,while overexpression of long non-coding RNA KIAA0125 activated Wnt/β-catenin signaling pathway.These results confirm that long non-coding RNA KIAA0125 is highly expressed in acute myeloid leukemia peripheral blood.Long non-coding RNA KIAA0125 may affect the proliferation and apoptosis of U937 cells by regulating the Wnt/β-catenin signaling pathway,and may be a potential prognostic marker for acute myeloid leukemia.

Objective:To establish a deployment management mode for life-supporting equipment,so as to provide reference for healthcare institutions in deployment management for equipment in responding public health emergencies.Methods:The existed problems of healthcare institutions in facing public health emergencies were analyzed.Based on evidence-based practices from domestic and international healthcare institutions in responding public health emergencies,and combined with the experiences of West China Hospital of Sichuan University in preventing and treating epidemic infection of public health emergencies,a scheme of deployment management of life-supporting equipment,and an assessment scheme that precisely matched mode and equipment for supporting respiratory were formulated.The ventilator-related medical consumables was standardly managed.A deployment management mode for life-supporting equipment was constructed to conduct deployment management for the using 293 non-invasive ventilators and 112 high-flow non-invasive respiratory humidification devices in our hospital from December 26,2022,to January 20,2023.Results:During the period of deployment management for 293 non-invasive ventilators,a total of 7492 prescriptions of non-invasive ventilation were completed,and 3183 prescriptions of non-invasive(high-follow)ventilation of using 112 high-flow non-invasive respiratory humidification devices were completed at the same period,which better ensured the requirements of all patients in clinical treatment.The average turnaround time of equipment was shorted from 22.5 min before deployment management mode was implemented to 12.6 min after it was implemented.The accuracy rate of healthcare personnel was 100%in preparing medical consumables.Conclusion:The deployment management mode of life-supporting equipment can increase the use rate of limited life-supporting equipment at the maximum degree,and increase the turnover efficiency of equipment,and decrease turnover time and vacancy rate of equipment,and increase the accuracy rate of preparing medical consumables,and meet the requirement of clinical treatment under the premise of"overall deployment and coordinated management".

Objective:To establish a deployment management mode for life-supporting equipment,so as to provide reference for healthcare institutions in deployment management for equipment in responding public health emergencies.Methods:The existed problems of healthcare institutions in facing public health emergencies were analyzed.Based on evidence-based practices from domestic and international healthcare institutions in responding public health emergencies,and combined with the experiences of West China Hospital of Sichuan University in preventing and treating epidemic infection of public health emergencies,a scheme of deployment management of life-supporting equipment,and an assessment scheme that precisely matched mode and equipment for supporting respiratory were formulated.The ventilator-related medical consumables was standardly managed.A deployment management mode for life-supporting equipment was constructed to conduct deployment management for the using 293 non-invasive ventilators and 112 high-flow non-invasive respiratory humidification devices in our hospital from December 26,2022,to January 20,2023.Results:During the period of deployment management for 293 non-invasive ventilators,a total of 7492 prescriptions of non-invasive ventilation were completed,and 3183 prescriptions of non-invasive(high-follow)ventilation of using 112 high-flow non-invasive respiratory humidification devices were completed at the same period,which better ensured the requirements of all patients in clinical treatment.The average turnaround time of equipment was shorted from 22.5 min before deployment management mode was implemented to 12.6 min after it was implemented.The accuracy rate of healthcare personnel was 100%in preparing medical consumables.Conclusion:The deployment management mode of life-supporting equipment can increase the use rate of limited life-supporting equipment at the maximum degree,and increase the turnover efficiency of equipment,and decrease turnover time and vacancy rate of equipment,and increase the accuracy rate of preparing medical consumables,and meet the requirement of clinical treatment under the premise of"overall deployment and coordinated management".

Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction(DLR)for localizing epileptogenic focus of intractable epilepsy.Methods Fifty intractable epilepsy patients(epilepsy group)and 20 healthy controls(control group)were retrospectively collected.Brain MR MAGiC sequence was scanned,then traditional reconstruction(inverse Fourier transform)and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images,respectively.The corresponding quantitative parameter maps were generated after post-processing,including T1 mapping,T2 mapping and proton density(PD)mapping.The subjective scores of noise,artifacts,structural clarity and overall quality were compared between two kinds of quantitative parameter images.The asymmetry index(AI)of quantitative parameters(T1,T2 and PD values)between the affected side and the contralateral side in epilepsy group,the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated.Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values.According to surgical results,follow-up review,electroencephalogram or PET results,the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated.Results Compared with MAGiC quantitative parametric maps,noise of MAGiC DLR quantitative parametric maps reduced,while subjective scores of structure clarity and overall quality improved(all P＜0.05).The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00％(41/50)and 88.00％(44/50),respectively.Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy.

Objective:To explore the effects of workload factors and social psychological factors on work-related musculoskeletal disorders (WMSDs) , construct a preventive decision-assisted ensemble learning model, and propose screening methods with clinical significance.Methods:In October 2022, 1071 workers from optoelectronic enterprises were selected as the research subjects by cluster sampling method. The general situation of workers, workload factors, social psychological factors and the occurrence of WMSDs were collected by using questionnaires. logistic regression, Extreme Gradient Boosting (XGBoost) , ensemble learning and classification chain model were adopted to explore the key factors influencing WMSDs, and the area under curve (AUC) was used to evaluate the model performance.Results:The incidence of WMSDs among workers in optoelectronic enterprises in the past year was 47.7% (511/1071) , among which the incidence of multi-site WMSDs was 54.4% (278/511) . logistic regression analysis showed that prolonged sitting, personnel shortage and forward neck tilt were risk factors for the occurrence of WMSDs in workers ( P<0.05) . XGBoost identified the key social psychological factors influencing WMSDs as low mood, mental tension, perceived happiness level, psychological calmness and tranquility. The integrated classification chain model based on the ordered label order had certain efficacy (AUC>0.7) when analyzing WMSDs at the neck, waist, shoulder, back, elbow and hip positions. Conclusion:Workload factors are the main risk factors for the occurrence of WMSDs among workers in optoelectronic enterprises, and social psychological factors also have potential influences. The construction of a classification chain model can accurately identify the occurrence of WMSDs in multiple parts. The alternating prevention strategy of workload factors and social psychological factors has important public health significance.

With the rapid development of artificial intelligence technology,its application in the field of medical education is increasingly extensive.In order to truly understand students'mastery and application of Medical Immunology knowledge as well as students'comprehensive quality,this study applied the formative assessment based on academic intelligence assessment platform to the teaching practice of Immunology in Daqing Campus of Harbin Medical University.Compared with previous formative assessment,the intelligent platform developed by artificial intelligence technology has many advantages in teaching assessment and evaluation.Good feedback has been obtained between teachers and students,and the teaching quality of teachers and the learning effect of students have been significantly improved,which is worth further promotion.