Objective: To investigate the current status of screening myopia and anxiety symptoms and associated factors among junior and senior high school students in Beijing, so as to provide evidence for myopia prevention and control and the improvement of mental health among adolescents. Methods: From September to November 2024, a total of 17 245 junior high schools, general senior high schools and vocational high schools from 16 districts in Beijing were enrolled by stratified cluster sampling method. Questionnaire surveys and vision screening were conducted to collect data on anxiety symptom and screening diagnosed myopia. The Chi square test was used to analyze the co-occurrence of myopia and anxiety symptoms, and binary Logistic regression analysis was adopted to explore the related factors of the co-occurrence. Results: The overall detection rate of cooccurrence screening myopia and anxiety symptoms among Beijing junior and senior high school students was 6.00%. The detection rate was higher in females ( 7.15 %) than in males (4.90%), higher in urban areas (6.65%) than in suburban areas (5.41%), and higher in general senior high school students (7.61%) than in vocational high school students (6.46%) and junior high school students (4.65%). All differences were statistically significant ( χ 2=38.49, 11.66, 54.88, all P <0.01). Binary Logistic regression analysis showed that female gender ( OR =1.43), general senior high school ( OR =1.60), vocational high school ( OR =1.59), daily sugar sweetened beverage intake ( OR =1.66), participation in academic extracurricular classes in preschool ( OR =1.30), electronic screen use for more than 2 hours per day ( OR =1.21), and insufficient sleep ( OR =2.41) were associated with an increased risk of co-occurring screening diagnosed myopia and anxiety symptoms (all P <0.05). Conclusions The co-occurrence of screening diagnosed of myopia and anxiety symptoms among junior and senior high school students in Beijing is common. Female gender, senior high school students, and unhealthy lifestyle behaviors are all risk factors for the co-occurrence of myopia and anxiety symptom. Comprehensive intervention measures can be adopted to simultaneously promote vision protection and mental health among junior and senior high school students.

The continuous emergence of SARS-CoV-2 variants as well as other potential future coronavirus has challenged the effectiveness of current COVID-19 vaccines. Therefore, there remains a need for alternative antivirals that target processes less susceptible to mutations, such as the formation of six-helix bundle (6-HB) during the viral fusion step of host cell entry. In this study, a novel high-throughput screening (HTS) assay employing a yeast-two-hybrid (Y2H) system was established to identify inhibitors of HR1/HR2 interaction. The compound IMB-9C, which achieved single-digit micromolar inhibition of SARS-CoV-2 and its Omicron variants with low cytotoxicity, was selected. IMB-9C effectively blocks the HR1/HR2 interaction in vitro and inhibits SARS-CoV-2-S-mediated cell-cell fusion. It binds to both HR1 and HR2 through non-covalent interaction and influences the secondary structure of HR1/HR2 complex. In addition, virtual docking and site-mutagenesis results suggest that amino acid residues A930, I931, K933, T941, and L945 are critical for IMB-9C binding to HR1. Collectively, in this study, we have developed a novel screening method for HR1/HR2 interaction inhibitors and identified IMB-9C as a potential antiviral small molecule against COVID-19 and its variants.

OBJECTIVE: To explore the clinical features of the sepsis in immunocompromised hosts and establish an early warning equation. METHODS: A retrospective study was conducted on sepsis patients admitted to the intensive care unit (ICU) of Binzhou Medical University Hospital from October 2011 to October 2022. General information, infection site, etiology results and drug susceptibility, clinical symptoms, inflammatory indicators, acute physiology and chronic health status evaluation II (APACHE II), sequential organ failure assessment (SOFA), incidence of immune paralysis, and outcome during hospitalization were collected. Based on whether they met the diagnostic criteria for immunocompromised hosts, patients were divided into immunocompromised group and immune normal group. The clinical information of the two groups were compared. Multivariate Logistic regression was used to analyze the risk factors of patients with immunocompromised sepsis and the regression equation model was initially established. Omnibus test and Hosmer-Lemeshow test were used to evaluate the model. RESULTS: A total of 169 patients with sepsis were included, including 61 in the immunocompromised group and 108 in the normal immune group. The top 3 infection sites in the immunocompromised group were bloodstream infection, pulmonary infection and abdominal infection. The top 3 infection sites in the normal immune group were pulmonary infection, bloodstream infection and abdominal infection. The infection rate of Gram-negative bacteria in the immunocompromised group was significantly lower than that in the normal group [49.2% (30/61) vs. 64.8% (70/108), P < 0.05]. The infection rate of Gram-positive bacteria [27.9% (17/61) vs. 13.9% (15/108)] and multidrug-resistant bacteria [54.1% (33/61) vs. 29.6% (32/108)] were significantly higher than those in normal immune group (both P < 0.05). In terms of clinical symptoms, the proportion of fever in the immunocompromised group was significantly lower than that in the immune normal group [49.2% (30/61) vs. 66.7% (72/108), P < 0.05]. Neutrophil count (NEU) and neutrophil percentage (NEU%) in the immunocompromised group were significantly lower than those in the normal immune group. Lymphocyte percentage (LYM%), neutrophil/lymphocyte ratio (NLR), C-reactive protein (CRP), procalcitonin (PCT), APACHE II score, combined shock rate, incidence of immune paralysis, and mortality during hospitalization in the immunocompromised group were significantly higher than those in the normal immune group. Logistic regression analysis showed that NLR, CRP and PCT were risk factors for patients with immunocompromised sepsis (all P < 0.05). The above indicators were used as covariables to construct a Logistic regression equation, that was, Logit (P) = 0.025X₁+0.010X₂+0.013X₃-2.945, where X₁, X₂ and X₃ represent NLR, CRP and PCT respectively. Omnibus test and Hosmer-Lemeshow test show that the model fits well and has certain early warning value. CONCLUSIONS Patients with immunocompromised sepsis have more intense inflammatory response, with Gram-negative bacteria being the predominant pathogen, and a higher incidence of Gram-positive bacterial infections and multi-drug resistant infections. The severity of the disease, in-hospital mortality, the incidence of shock and the incidence of immune paralysis after sepsis were significantly higher. NLR, CRP and PCT were independent risk factors for sepsis in immunocompromised hosts. The regression equation constructed based on this may have early warning significance for patients with immunocompromised sepsis.
Humans ; Sepsis/immunology* ; Immunocompromised Host ; Retrospective Studies ; Risk Factors ; Intensive Care Units ; Logistic Models ; Male ; APACHE ; Female ; Middle Aged ; Aged

The research on the cardiovascular toxicity of air pollutants is in urgent need of collaborative innovation across multiple models. This paper systematically reviewed the advantages and limitations of four principal research models of cardiotoxicity, including epidemiological model, mammalian model, zebrafish model, and in vitro model. Epidemiological models have been used to demonstrate a significant correlation between exposure to PM_2.5 and both the incidence and mortality of cardiovascular diseases within populations; however, these models face challenges in establishing causal inferences and interpreting individual mechanisms. Mammalian models have been applied to elucidate the pathogenic mechanisms of PM_2.5 at both the systemic and organ-specific levels, yet they encounter difficulties related to interspecies differences and throughput constraints. Zebrafish models, with their transparent embryos and observable development, offer a distinctive opportunity for high-throughput screening and mechanistic investigation of PM_2.5-induced cardiac developmental toxicity. Nonetheless, their cardiac physiological structure diverges from that of mammals, limiting their capacity to accurately model chronic conditions such as coronary heart disease. In vitro models, particularly human heart organoids and chip technologies, have provided profound insights into the direct toxic mechanisms of PM_2.5, including disruptions in calcium homeostasis, cellular senescence, and electrophysiological irregularities at the cellular and molecular levels. Despite these advancements, the complexity and developmental maturity of these models present challenges to their broader application. This paper proposed that the key to overcoming the bottlenecks of single models lies in the construction of an integrated evaluation system that combines “epidemiological studies, mammalian models, zebrafish models, and in vitro models”. By focusing on three aspects, namely model integration, technological convergence, and policy support, it is intended to collaboratively address issues such as standardization of multi-model data, simulation of complex exposure scenarios and susceptible life stages, and transformation pathways. This will provide innovative methodological support for the analysis of the cardiotoxic mechanisms of air pollutants, the assessment of environmental health impacts, and the formulation of precise prevention and control strategies.

In situ bioimaging is a powerful tool for directly observing the localization, expression, and interactions of nucleic acids or protein targets within cells, providing essential insights into cell function and disease mechanisms. In recent years, the CRISPR/Cas9 system, a revolutionary gene-editing tool, has been applied to develop efficient in situ imaging techniques. This paper reviews recent CRISPR/Cas9-based imaging methods utilizing Cas9 protein, engineered single-guide RNA (sgRNA), and coupled fluorescent tags, and compares their application in living and fixed cells. It focuses on the specificity, signal amplification efficiency, and multi-modal imaging capabilities of these methods, with further discussion based on current research, aiming to offer a comprehensive overview of CRISPR/Cas9-based in situ bioimaging techniques, with some valuable reference and guidance for research in related fields.

ObjectiveThis study aims to develop a prediction model for the compatibility of Chinese medicinal pairs based on Graph Convolutional Networks （GCN）， named HC-GCN. The model integrates the properties of herbs with modern pharmacological mechanisms to predict pairs with specific therapeutic effects. It serves as a demonstration by applying the model to predict and validate the efficacy of blood-activating herb pairs. MethodsThe training dataset for herb pair prediction was constructed by systematically collecting commonly used herb pairs along with their characteristic data， including Qi， flavor， meridian tropism， and target genes. Integrating traditional characteristics of herb with modern bioinformatics， we developed an efficacy-oriented herb pair compatibility prediction model （HC-GCN） using graph convolutional networks （GCN）. This model leverages machine learning to capture the complex relationships in herb pair compatibility， weighted by efficacy features. The performance of the HC-GCN model was evaluated using accuracy （ACC）， recall， precision， F1 score （F1）， and area under the ROC curve （AUC）. Its predictive effectiveness was then compared to five other machine learning models： eXtreme Gradient Boosting （XGBoost）， logistic regression （LR）， Naive Bayes， K-nearest neighbor （KNN）， and support vector machine （SVM）. ResultsUsing herb pairs with blood-activating effects as a demonstration， a prediction model was constructed based on a foundational dataset of 46 blood-activating herb pairs， incorporating their Qi， flavor， meridian tropism， and target gene characteristics. The HC-GCN model outperforms other commonly used machine learning models in key performance metrics， including ACC， recall， precision， F1 score， and AUC. Through the predictive analysis of the HC-GCN model， 60 herb pairs with blood-activating effects were successfully identified. Among of these potential herb pairs， 44 include at least one herb with blood-activating effects. ConclusionIn this study， we established an efficacy-oriented compatibility prediction model for herb pairs based on GCN by integrating the unique characteristics of traditional herbs with modern pharmacological mechanisms. This model demonstrated high predictive performance， offering a novel approach for the intelligent screening and optimization of traditional Chinese medicine prescriptions， as well as their clinical applications.

Postnatal glucocorticoid has become an important measure for the prevention and treatment of bronchopulmonary dysplasia in preterm infants. Systemic application of glucocorticoids has therapeutical effectiveness but comes with significant side effects. Many studies have shown that nebulized budesonide may help prevent and treat bronchopulmonary dysplasia in preterm infants. However, there are no clear recommendations on the timing, route, dosage, and short- or long-term efficacy. Therefore, this paper reviews the research progress on the application of nebulized budesonide for the prevention and treatment of bronchopulmonary dysplasia in preterm infants.

Objective To investigate effect of cassava RS3 resistant starch(Ce-RS3)on serum homocysteine(Hcy)level in patients with atherosclerotic cerebral infarction(ACI)during the recovery period.Methods A total of 55 patients with ACI at the First Affiliated Hospital of Guizhou University of Traditional Chinese Medicine from October 2023 to October 2024 were selected as subjects.They were devieded into observation group(n=28)and control group(n=27)using a random number table.The control group received atorvastatin calcium,phospholipids,and aspirin,while the observation group received atorvastatin calcium,phospholipids,aspirin,and Ce-RS3.After 12 weeks of treatment,homocysteine(Hcy)levels,carotid plaque diameter,National Institutes of Health stroke scale(NIHSS)scores,Barthel index(BI)scores,and traditional Chinese medicine(TCM)syndrome scores were compared between two groups.Results After treatment,the serum Hcy levels decreased and carotid plaque size reduced in both groups,with the NIHSS scores and TCM syndrome scores also decreased,and observation group was lower than control group(P＜0.05).After treatment,the BI score increased,with observation group higher than control group(P＜0.05).Conclusion The use of Ce-RS3 in the recovery phase of patients with ACI can effectively improve neurological function and enhance treatment efficacy.

Objective:To investigate the mechanism through which ginsenoside Re enhances lipid metabolism and mitochondrial function in H9C2 cardiomyocytes induced by high glucose and high fat, specifically by modulating AMP-activated protein kinase(AMPK)and specificity protein 1(Sp1).Methods:The H9C2 cardiomyocyte model was cultured in a high-glucose and high-lipid(HGHL)environment.Six groups were established: a control group(CON group), a model group(HGHL group), a ginsenoside Re 60 μmol/L group(Re 60 μmol/L), a model+ ginsenoside Re 20 μmol/L group(HGHL+ Re 20 μmol/L), a model+ ginsenoside Re 40 μmol/L group(HGHL+ Re 40 μmol/L), and a model+ ginsenoside Re 60 μmol/L group(HGHL+ Re 60 μmol/L).Cell morphology was assessed using hematoxylin and eosin(HE)staining, while intracellular oil and triglyceride content were evaluated using oil red O staining.Reactive oxygen species(ROS)levels were measured with a fluorescence kit, apoptosis was assessed using TUNEL staining, and the expressions of phosphorylated AMPK, Sp1, nuclear respiratory factor 1(Nrf1), and peroxisome proliferator-activated receptor gamma coactivator 1 alpha(PGC1α)were analyzed via Western blotting.Results:Compared to the control group, the model group exhibited significant increases in cell hypertrophy, ROS levels, apoptosis, and intracellular TG.Conversely, the expressions of pAMPK, Nrf1, and PGC1α were significantly decreased, while the expression of Sp1 was significantly increased( P<0.05).Compared to the model group, treatment with Ginsenoside Re at concentrations of 20 μmol/L, 40 μmol/L, and 60 μmol/L significantly improved cell hypertrophy, reduced ROS levels, alleviated apoptosis, and decreased intracellular TG levels.Additionally, the expressions of pAMPK, Nrf1, and PGC1α were significantly increased, while Sp1 expression was significantly decreased in a dose-dependent manner( P<0.05). Conclusions:Ginsenoside Re enhances lipid metabolism, mitigates mitochondrial oxidative stress, and reduces apoptosis in H9C2 cardiomyocytes induced by high glucose and high lipid conditions.This effect is associated with the regulation of AMPK and Sp1 proteins, leading to increased expressions of pAMPK, Nrf1, and PGC-1α, and decreased expression of Sp1.

This article reports the diagnosis and treatment of a patient with diffuse large B-cell lymphoma (DLBCL) initially manifested as acquired von Willebrand syndrome (AvWS), along with a literature review. The patient, a 22-year-old male, was diagnosed with hereditary von Willebrand disease at the initial stage due to repeated mucosal bleeding, and was later diagnosed with DLBCL (non germinal center type, Ann Arbor stage Ⅳ) due to chest wall mass. Through chemotherapy combined with autologous hematopoietic stem cell transplantation and zebutinib maintenance therapy, the patient achieved sustained complete remission, and the coagulation function returned to normal. This case provides an important reference for the diagnosis and treatment of lymphoma associated AvWS, and highlights the importance of early recognition of basic diseases.