In 2022， Hainan provincial government launched the project for the prevention and control of viral hepatitis with the goals of a hepatitis B screening rate of 90%， a diagnostic rate of 90%， and a treatment rate of 80% among people aged 18 years and above by the year 2025， and the main intervention measures include population-based prevention， case screening， antiviral therapy， and health management. As of December 31， 2024， a total of 6.875 million individuals in the general population had been screened for hepatitis B， with a screening rate of 95.6%. A total of 184 710 individuals with positive HBsAg were identified， among whom 156 772 were diagnosed through serological reexamination， resulting in a diagnostic rate of 84.9%. A total of 50 742 patients with chronic hepatitis B were identified， among whom 42 921 had hepatitis B-specific health records established for health management， with a file establishment rate of 84.6%. A total of 31 553 individuals received antiviral therapy， with a treatment rate of 62.2%. A total of 2.503 million individuals at a high risk of hepatitis C were screened， among whom 4 870 tested positive for HCV antibody and 3 858 underwent HCV RNA testing， resulting in a diagnostic rate of 79.2%， and 1 824 individuals with positive HCV RNA were identified， among whom 1 194 received antiviral therapy， with a treatment rate of 65.5%. In addition， 159 301 individuals with negative HBsAg and anti-HBs and an age of 20 — 40 years were inoculated with hepatitis B vaccine free of charge. Through the implementation of the project for the prevention and control of viral hepatitis， a large number of hepatitis patients have been identified， treated， and managed in the province within a short period of time， which significantly accelerates the efforts to eliminate the crisis of viral hepatitis.

Accurate prediction of drug-target interactions (DTIs) plays a pivotal role in drug discovery, facilitating optimization of lead compounds, drug repurposing and elucidation of drug side effects. However, traditional DTI prediction methods are often limited by incomplete biological data and insufficient representation of protein features. In this study, we proposed KG-CNNDTI, a novel knowledge graph-enhanced framework for DTI prediction, which integrates heterogeneous biological information to improve model generalizability and predictive performance. The proposed model utilized protein embeddings derived from a biomedical knowledge graph via the Node2Vec algorithm, which were further enriched with contextualized sequence representations obtained from ProteinBERT. For compound representation, multiple molecular fingerprint schemes alongside the Uni-Mol pre-trained model were evaluated. The fused representations served as inputs to both classical machine learning models and a convolutional neural network-based predictor. Experimental evaluations across benchmark datasets demonstrated that KG-CNNDTI achieved superior performance compared to state-of-the-art methods, particularly in terms of Precision, Recall, F1-Score and area under the precision-recall curve (AUPR). Ablation analysis highlighted the substantial contribution of knowledge graph-derived features. Moreover, KG-CNNDTI was employed for virtual screening of natural products against Alzheimer's disease, resulting in 40 candidate compounds. 5 were supported by literature evidence, among which 3 were further validated in vitro assays.
Alzheimer Disease/drug therapy* ; Biological Products/therapeutic use* ; Humans ; Neural Networks, Computer ; Machine Learning ; Drug Discovery/methods* ; Algorithms ; Drug Evaluation, Preclinical/methods*

Objective To explore the active monitoring strategies for hypoglycemia in hospitalized dia-betic patients,as well as their clinical symptom characteristics and influencing factors.Methods A retrospec-tive search was conducted on all inpatients in a tertiary hospital in 2023.The hospital's electronic medical re-cord system was manually retrieved through the inpatient numbers of the patients.Adult inpatients with dia-betes who experienced hypoglycemia were included as the research subjects,and the general conditions and possible hypoglycemia-related risk factors were collected.Embed the hypoglycemic electronic trigger program in China Hospital Pharmacovigilance System(CHPS),reviewed the original medical records of patients with positive trigger triggering,and calculated the positive predictive value(PPV).Searched for the number of hy-poglycemic adverse reaction cases voluntarily reported by this hospital during the same period from National Adverse Reaction Monitoring System and compared with the actual number of hypoglycemic cases discovered.Patients with suspected drug-induced hypoglycemia were divided into the symptomatic group and the asymp-tomatic group based on whether they presented hypoglycemia-related symptoms.Multivariate logistic regres-sion analysis was applied to analyze the influencing factors.Results A total of 1 001 adult hospitalized diabet-ic patients with hypoglycemia were included in the study.Among them,725 cases were suspected of drug-in-duced hypoglycemia,and 495 cases were suspected of hypoglycemia caused by drug interactions.After manual review,131 cases of drug-induced hypoglycemia patients had clinical symptoms,and hypoglycemic adverse re-action events should be reported,PPV of this trigger for symptomatic hypoglycemia was 18.1%(131/725).However,the number of hypoglycemic adverse reactions spontaneously reported through National Adverse Reaction Monitoring System by this hospital during the same period was 4 cases,and the reporting rate was only 3.1%(4/131).Multivariate logistic regression analysis showed that aging and grade 2 hypoglycemia were risk factors for the occurrence of related symptoms in patients with suspected drug-induced hypoglycemia(P<0.05),while surgery,type 2 glucosuria,unclassified diabetes,and the use of insulin secretagogues were protective factors(P<0.05).Conclusion Drug-induced hypoglycemia dominates among hospitalized diabetic patients,and age,hypoglycemia grade,inpatient department using insulin secretagogues,diabetes diagnosis and classification are closely related to the occurrence of clinical hypoglycemia-related symptoms.Active monito-ring through CHPS can effectively increase the detection rate and reporting rate of hypoglycemic adverse e-vents in hospitalized diabetic patients.

Objective To compare the filtration effects of different models of leukocyte filters on erythrocyte suspensions,so as to provide a reference for the selection of leukocyte filters in clinic.Methods The erythrocyte suspensions prepared by Department of Blood Transfusion of The First Affiliated Hospital of Naval Medical University were used for filtration.The test was categorized into three groups based on the model of leukocyte filters,namely,AKTT-type(group Ⅰ),STTB-type(group Ⅱ),and STTA-type(groupⅢ).Each group was randomly assigned 8 bags of erythrocyte suspensions(specification 2U)with hematocrit≤55%and 10 bags of erythrocyte suspensions(specification 2U)with hematocrit>55%,and leukapheresis was applied.The quality indexes of the blood were detected before and after filtration,and the experimental data were comprehensively analyzed to evaluate the leukocyte filtration effect of various filters.Results When the hematocrit of the filtered erythrocyte suspensions was≤55%,there were significant differences in the platelet count after filtration(F=49.94,P<0.001)and filtration time(F=73.45,P<0.001)between groups,and the two indexes in group Ⅰ were superior to those in groups Ⅱ and Ⅲ.When the hematocrit of the filtered erythrocyte suspensions was>55%,there were significant differences in the platelet count after filtration(F=160.69,P<0.000 1),filtration time(F=366.09,P<0.000 1),residual leukocytes(F=4.28,P<0.05),and hemolytic rate(F=8.16,P<0.01)between groups.The platelet count after filtration and filtration time in group I were superior to those in group II and III.The indexes of residual leukocyte and hemolytic rate in groups I and II were superior to those in group III.Conclusion In order to ensure the safety and effectiveness of erythrocyte suspension transfusion,AKTT-type filter can be chosen to perform leukocyte filtration,which can further lower the blood transfusion complications.

Objective To investigate the organ protective role and the underlying mechanism of nafamostat mesylate(NM)in a renal ischemia-reperfusion injury(RIRI)model.Methods A total of 21 healthy male Sprague-Dawley(SD)rats were randomly assigned to 3 groups(n=7 in each group),including the sham operation group(Sham group),the RIRI group,and the NM intervention group(NM group).The RIRI and NM groups underwent ischemia-reperfusion injury(IRI)modeling.The NM group was given an intraperitoneal injection of NM at 0.75 mg/kg before modeling.Venous blood and renal tissue samples were then collected from the rats 24 hours after modeling.The levels of serum creatinine,cystatin C,and serum inflammatory factors were determined using the serum samples.Hematoxylin-eosin(HE)staining and TUNEL stainings were performed on the renal tissues to evaluate the damage of the renal tissues.The localization and expression of HMGB1 were analyzed by immunofluorescence and Western blotting,respectively.Single-cell RNA sequencing of the nuclei was performed to obtain the single-cell transcriptome of the kidneys from the rats in the RIRI and the NM groups and to acquire the RIRI cell profile.The cells were annotated according to the cell marker genes to explore the cell type composition in the disease model and the functional status of immune cells between the groups.Results 1)Compared with those of the Sham group,the levels of cystatin C,creatinine,and inflammatory factors in the RIRI and NM groups were significantly increased,and the expression levels in the NM group were lower than those in the RIRI group(P＜0.05).Compared with those of the RIRI group,the tubular injury score and apoptosis rate in the NM group were significantly decreased(P＜0.05),but those of both the NM and RIRI groups were higher than those of the sham group.Compared with that in the RIRI group,the expression of HMGB1 in the NM group was significantly decreased(P＜0.05),but the expression levels in both the RIRI and NM groups were higher than that in the sham group.Immunofluorescence showed that there was increased cytoplasmic expression of HMGB1 in both the NM and RIRI groups,with the increase being more prominent in the RIRI group.2)A total of 13 major cell populations were identified through the single-nucleus sequencing results.The proportion of tubular cells in the NM group was higher,with the HMGB1 gene being highly expressed in the damaged proximal convoluted tubular cells.The proportion of the polarized Macro3 cell subpopulation in the macrophages in the NM group was lower compared to that in the RIRI group.Conclusion NM may play a protective role in a rat model of RIRI,and its underlying mechanisms may be related to the regulation of the functional abnormalities of HMGB1-mediated macrophages.

Objective To investigate the correlation between changes in physiological indicators and altitude,age,and sex among ethnic Tibetan college students living in Xizang on long-term basis upon their first ever visit to a low-altitude region,thereby providing health guidance for long-term residents of high-altitude regions when they visit low-altitude environments for the first time.Methods A cluster random sampling method was used to select 170 healthy first-year college students of Tibetan ethnicity(85 males and 85 females),from Xizang Minzu University.The participants did not have any respiratory,circulatory,or nervous system diseases,nor any family history of such conditions.Based on their responses to questionnaires and the monitoring data of their physiological indicators,an analysis was conducted to assess the incidence and duration of deacclimatization symptoms among these Tibetan college students during the first month after their arrival at a low-altitude region.In addition,the R programming language and the SPSS software were used to analyze the correlation between changes in blood pressure,heart rate,and body weight and the participants'age,sex,and the altitude of their long-term residence in Xizang before and after their arrival at a low-altitude region.Results Statistical analysis revealed that Tibetan college students experienced deacclimatization symptoms within the first week of their first ever visit to a low-altitude region,primarily characterized by dizziness,fatigue,and drowsiness.The incidence was 41.9％among female students and 22.5％among male students.Furthermore,after arriving at low-altitude region,the participants experience an initial decrease followed by a recovery in both blood pressure and heart rate.They gained an average of 1.5 kg in body mass compared with their initial measurements upon arrival in a low-altitude region.Significant differences in blood pressure,heart rate,and body mass were observed among Tibetan students of different sexes and altitudes of their long-term residence in Xizang after their arrival in a low-altitude region.Conclusion After arriving at a low-altitude region,Tibetan college students exhibit marked changes in physiological indicators,showing strong correlations between systolic blood pressure,body mass,etc.,and sex,altitude,and other parameters.

Objective:To develop and validate a clinical prediction model for assessing the risk of postoperative pulmonary complications (PPCs) in elderly patients undergoing surgery with general anesthesia.Methods:This prospective observational study enrolled patients aged ≥65 years who underwent general anesthesia with mechanical ventilation duration >3 hours across six tertiary hospitals between December 2022 and August 2023. Based on follow-up outcomes (until discharge or postoperative day 7), patients were categorized into a non-PPCs group and a PPCs group. Detailed records included baseline patient characteristics, preoperative comorbidities, surgical information (type, duration), and bedside lung ultrasound scores (LUS) assessed within 24 hours postoperatively using a standardized 12-zone protocol. Predictor selection was performed using LASSO regression. Significant predictors identified were incorporated into a multivariate logistic regression analysis to build the prediction model, visualized as a nomogram. Internal validation was conducted via bootstrap resampling (1 000 repetitions). Model performance was evaluated using the area under the receiver operating characteristic curve (AUC) for discrimination, calibration curves for calibration accuracy, and decision curve analysis (DCA) for clinical utility.Results:A total of 130 eligible elderly surgical patients were included. PPCs occurred in 17 patients (incidence rate: 13.1%). Multivariate analysis identified LUS ( OR=1.248, 95% CI: 1.099-1.417, P=0.001) and elective surgery type ( OR=0.206, 95% CI: 0.043-0.988, P=0.048) as independent predictors of PPCs. The nomogram model demonstrated an AUC of 0.867 (95% CI: 0.775-0.959) upon initial testing. Internal validation confirmed good discrimination (AUC=0.863, 95% CI: 0.778-0.972). Calibration curves indicated excellent agreement between predicted probabilities and observed outcomes. Decision curve analysis demonstrated significant clinical net benefit across a wide range of threshold probabilities (0.03-0.89). Conclusions:The clinical prediction model, developed using early postoperative LUS scores and surgical type, effectively predicts the risk of postoperative pulmonary complications in elderly patients following surgery under general anesthesia. The model exhibits strong discrimination, calibration, and clinical utility, providing clinicians with a reliable tool for individualized risk assessment to support clinical decision-making and potentially reduce PPC incidence.

BACKGROUND: Chronic kidney disease (CKD) is associated with common pathophysiological processes, such as inflammation and fibrosis, in both the heart and the kidney. However, the underlying molecular mechanisms that drive these processes are not yet fully understood. Therefore, this study focused on the molecular mechanism of heart and kidney injury in CKD. METHODS: We generated an microRNA (miR)-26a knockout (KO) mouse model to investigate the role of miR-26a in angiotensin (Ang)-II-induced cardiac and renal injury. We performed Ang-II modeling in wild type (WT) mice and miR-26a KO mice, with six mice in each group. In addition, Ang-II-treated AC16 cells and HK2 cells were used as in vitro models of cardiac and renal injury in the context of CKD. Histological staining, immunohistochemistry, quantitative real-time polymerase chain reaction (PCR), and Western blotting were applied to study the regulation of miR-26a on Ang-II-induced cardiac and renal injury. Immunofluorescence reporter assays were used to detect downstream genes of miR-26a, and immunoprecipitation was employed to identify the interacting protein of LIM and senescent cell antigen-like domain 1 (LIMS1). We also used an adeno-associated virus (AAV) to supplement LIMS1 and explored the specific regulatory mechanism of miR-26a on Ang-II-induced cardiac and renal injury. Dunnett's multiple comparison and t -test were used to analyze the data. RESULTS: Compared with the control mice, miR-26a expression was significantly downregulated in both the kidney and the heart after Ang-II infusion. Our study identified LIMS1 as a novel target gene of miR-26a in both heart and kidney tissues. Downregulation of miR-26a activated the LIMS1/integrin-linked kinase (ILK) signaling pathway in the heart and kidney, which represents a common molecular mechanism underlying inflammation and fibrosis in heart and kidney tissues during CKD. Furthermore, knockout of miR-26a worsened inflammation and fibrosis in the heart and kidney by inhibiting the LIMS1/ILK signaling pathway; on the contrary, supplementation with exogenous miR-26a reversed all these changes. CONCLUSIONS Our findings suggest that miR-26a could be a promising therapeutic target for the treatment of cardiorenal injury in CKD. This is attributed to its ability to regulate the LIMS1/ILK signaling pathway, which represents a common molecular mechanism in both heart and kidney tissues.
Animals ; MicroRNAs/metabolism* ; Angiotensin II/toxicity* ; Mice ; Renal Insufficiency, Chronic/chemically induced* ; Mice, Knockout ; Disease Models, Animal ; Male ; Signal Transduction/genetics* ; LIM Domain Proteins/genetics* ; Mice, Inbred C57BL ; Cell Line ; Humans