ObjectiveTo examine the influences of Shenfu injection on the endogenous metabolic byproducts in the myocardium of the rat model exhibiting chronic heart failure， thus deciphering the therapeutic mechanism of the Qi-reinforcing and Yang-warming method. MethodsSD rats were randomly allocated into a control group and a modeling group. Chronic heart failure with heart-Yang deficiency syndrome in rats was modeled by multi-point subcutaneous injection of isoproterenol， and the rats were fed for 14 days after modeling. The successfully modeled rats were randomized into model， Shenfu injection （6.0 mL·kg^-1）， and trimetazidine （10 mg·kg^-1） groups and treated with corresponding agents for 15 days. The control group and the model group were injected with equal doses of normal saline， and the samples were collected after the intervention was completed. Cardiac color ultrasound was performed. Hematoxylin-eosin （HE） staining was used to observe histopathological morphology， and the serum level of N-terminal pro-brain natriuretic peptide （NT-proBNP） was assessed by enzyme-linked immunosorbent assay （ELISA）. The mitochondrial morphological and structural changes of cardiomyocytes were observed by transmission electron microscopy， and the metabolic profiling was carried out by ultra high performance liquid chromatography-quantitative exactive-mass spectrometry （UHPLC-QE-MS）. Differential metabolites were screened and identified by orthogonal partial least squares-discriminant analysis （OPLS-DA） and other methods， and then the MetaboAnalyst database was used for further screening. The relevant biological pathways were obtained through pathway enrichment analysis. The receiver operating characteristic （ROC） curve was established to evaluate the diagnostic value of each potential biomarker for myocardial injury and the evaluation value for drug efficacy. ResultsThe results of color ultrasound showed that Shenfu Injection improved the cardiac function indexes of model rats （P<0.05）. The results of HE staining showed that Shenfu injection effectively alleviated the pathological phenomena such as myocardial tissue structure disorder and inflammatory cell infiltration in model rats. The results of ELISA showed that Shenfu injection effectively regulated the serum NT-proBNP level in the model rats. Transmission electron microscopy （TEM） showed that Shenfu injection effectively restored the mitochondrial morphological structure. The results of metabolomics showed that the metabolic phenotypes of myocardial samples presented markedly differences between groups. Nine differential metabolites could be significantly reversed in the Shenfu injection group， involving three metabolic pathways： pyruvate metabolism， histidine metabolism， and citric acid cycle （TCA cycle）. The results of ROC analysis showed that the area under the curve （AUC） values of all metabolites were between 0.75 and 1.0， indicating that the differential metabolites had high diagnostic accuracy for myocardial injury， and the changes in their expression levels could be used as potential markers for efficacy evaluation. ConclusionShenfu injection significantly alleviated the damage of cardiac function， myocardium， and mitochondrial structure in the rat model of chronic heart failure with heart-Yang deficiency syndrome by ameliorating energy metabolism remodeling. Reinforcing Qi and warming Yang is a key method for treating chronic heart failure with heart-Yang deficiency syndrome.

Objective To develop an artificial intelligence (AI)-driven lung cancer database by structuring and standardizing clinical data, enabling advanced data mining for lung cancer research, and providing high-quality data for real-world studies. Methods Building on the extensive clinical data resources of the Department of Thoracic Surgery at Peking Union Medical College Hospital, this study utilized machine learning techniques, particularly natural language processing (NLP), to automatically process unstructured data from electronic medical records, examination reports, and pathology reports, converting them into structured formats. Data governance and automated cleaning methods were employed to ensure data integrity and consistency. Results As of September 2024, the database included comprehensive data from 18 811 patients, encompassing inpatient and outpatient records, examination and pathology reports, physician orders, and follow-up information, creating a well-structured, multi-dimensional dataset with rich variables. The database’s real-time querying and multi-layer filtering functions enabled researchers to efficiently retrieve study data that meet specific criteria, significantly enhancing data processing speed and advancing research progress. In a real-world application exploring the prognosis of non-small cell lung cancer, the database facilitated the rapid analysis of prognostic factors. Research findings indicated that factors such as tumor staging and comorbidities had a significant impact on patient survival rates, further demonstrating the database’s value in clinical big data mining. Conclusion The AI-driven lung cancer database enhances data management and analysis efficiency, providing strong support for large-scale clinical research, retrospective studies, and disease management. With the ongoing integration of large language models and multi-modal data, the database’s precision and analytical capabilities are expected to improve further, providing stronger support for big data mining and real-world research of lung cancer.

Objective To systematically evaluate the effects of total intravenous anesthesia and inhalational anesthesia on postoperative recovery in patients undergoing transsphenoidal pituitary tumor resection.Methods A comprehensive search was conducted in international biomedical databases including Ovid Medline,Embase,CINAHL(EBSCO),Cochrane Library,and Web of Science,from inception to July 4,2023.Additionally,ClinicalTrials.gov and the World Health Organization International Clinical Trials Registry Platform were searched for ongoing and completed trials.The randomized controlled trials(RCT)comparing total intravenous anesthesia and inhalational anesthesia in patients undergoing transsphenoidal surgery for pituitary tumors were included.The methodological quality of the included studies was evaluated by the Cochrane Collaboration tool.Relevant data were extracted and synthesized for analysis.Results A total of 327 records were identified,of which eight RCTs met the inclusion criteria.Four studies showed that the patients receiving desflurane or sevoflurane anesthesia experienced faster emergence from anesthesia than those receiving propofol.Two studies indicated that patients in the propofol group had lower levels of emergence agitation and a lower incidence of early postoperative nausea and vomiting.The results on postoperative cognitive function were inconsistent across studies.No differences were found between the groups in terms of postoperative complications or overall recovery quality during hospitalization.Conclusions Inhalational anesthesia appears to provide an advantage in promoting faster emergence following transsphenoidal pituitary surgery,whereas total intravenous anesthesia may contribute to smoother and more stable recovery.Further high-quality studies are needed to clarify the effects of different anesthetic techniques on both short- and long-term postoperative recovery.
Humans ; Anesthesia, Intravenous ; Pituitary Neoplasms/surgery* ; Anesthesia, Inhalation ; Randomized Controlled Trials as Topic ; Anesthesia Recovery Period ; Pituitary Gland/surgery* ; Postoperative Period

Objective:To understand the pathogenic composition and epidemiological characteristics of febrile respiratory syndrome (FRS) in elderly people aged 60 and above in China, and to provide a reference basis for the scientific and precise prevention and control of FRS in the elderly.Methods:Based on FRS cases surveillance data from information management system of National Technical Platform for Infectious Disease Surveillance, National Science and Technology Major Project of China, the surveillance pathogens included 8 viruses, including influenza virus (IFV), respiratory syncytial virus (RSV), adenovirus (HAdV), parainfluenza virus (HPIV), metapneumovirus (HMPV), coronavirus (HCoV), bocavirus and rhinovirus (HRV); 7 bacterias, namely Streptococcus pneumoniae ( S.pneumoniae), Staphylococcus aureus ( S.aureus), Klebsiella pneumoniae ( K.pneumoniae), Pseudomonas aeruginosa ( P.aeruginosa), Group A Streptococcus ( GAS), Haemophilus influenzae ( H.influenzae) and Legionella pneumophila ( L. pneumophila), in addition to Chlamydia pneumoniae ( C. pneumoniae) and Mycoplasma pneumoniae ( M. pneumoniae). A descriptive epidemiological approach was used to analyze the pathogenic composition and major epidemiological characteristics of FRS cases aged 60 years and older nationwide from 2009 to 2021. Results:The predominant viruses of FRS cases aged≥60 years accounted for 87.93% of the pathogen spectrum in China, including IFV (42.42%), HRV (16.71%), HPIV (11.53%), HCoV (9.52%), and RSV (7.75%), while the pathogen spectrum of the major bacteria accounted for 94.60%, including S. pneumoniae (25.71%), P. aeruginosa (24.97%), K. pneumoniae (22.47%), H. influenzae (12.23%), and S. aureus (9.22%). Influenza viruses have always been at the top of the viral pathogen spectrum, and P. aeruginosa, K. pneumoniae and S. pneumoniae, ranked high in the bacterial pathogen spectrum. Among them, the proportions of HRV, HPIV, RSV, K. pneumoniae, and H. influenzae fluctuated and increased during the 13 years of observation. The positive rate of any pathogen in FRS cases was higher in out patient emergencies (32.83%) than in hospitalized cases (27.26%) ( χ2 =125.89, P<0.001). The positive rate of IFV was higher in cases aged 60-74 years (13.66%). The positive rate of P. aeruginosa and K. pneumoniae were higher in cases aged ≥90 years (10.71%, 9.40%) and in northern regions (8.32%, 7.30%). The positive rate of any pathogen in FRS cases was higher in winter (33.82%) than in other seasons ( χ2=212.03, P<0.001). The positive rate of IFV and HRV were higher in winter (22.87%) and autumn (5.98%) and the positive rate of P.aeruginosa (8.11%) and K.pneumoniae (8.30%) were higher in summer. Conclusions:IFV, HRV, HPIV, S. pneumoniae, P. aeruginosa and K. pneumoniae were respectively the top three pathogens in the viral and bacterial pathogen spectrum of FRS cases aged 60 years and above in China from 2009 to 2021, and the positive rate of these main pathogens showed differences between age groups, seasons, and geographic regions. In the future, the dynamic surveillance of various pathogens in the elderly with respiratory tract infections should be continuously strengthened.

Objective:To analyze the association between moderate-to-vigorous-physical activity (MVPA) and obesity, poor sleep quality, as well as multimorbidity in 7- to 8-year-old children in Shanghai City.Methods:From September to November 2023, a cluster sampling method was used to select second-grade students from four primary schools in Jinshan District, Shanghai. Three-axis acceleration motion sensors (GT3X+, Acti-graph) were used to monitor daily physical activity for seven consecutive days. A multivariate logistic regression model was used to analyze the association between MVPA duration characteristics and obesity, poor sleep quality and multimorbidity in school-age children.Results:Of the 937 study participants, 512 (54.64%) were boys and 425 (45.36%) were girls. Among them, 89 (9.50%) were obese and 782 (83.46%) had poor sleep quality. A total of 77 cases (8.22%) were affected by obesity and poor sleep quality. The average daily MVPA time was (45.97±15.87) minutes, and the MVPA attainment rate was 17.18%. The multivariate logistic regression model analysis showed that, after adjusting for covariates, the daily average MVPA time was negatively associated with the risk of obesity ( OR=0.982, 95% CI: 0.968-0.997), as well as multimorbidity ( OR=0.981, 95% CI: 0.965-0.997). The risk of obesity, poor sleep quality and multimorbidity in <1 d was 2.228 ( OR=2.228, 95% CI: 1.398-3.549), 1.702 ( OR=1.702, 95% CI: 1.141-2.540) and 2.150 ( OR=2.150, 95% CI: 1.310-3.528) times higher than that in ≥1 d. Conclusion:Obesity, poor sleep quality and multimorbidity of school-age children are closely related to the level of moderate-to-vigorous physical activity.

The prevention and treatment of esophageal cancer constitute an important component of China's cancer control efforts.As the earliest established cancer prevention and control field site in China,the Linzhou Esophageal Cancer Prevention and Treatment Site has developed a sys-tematic prevention and control strategy encompassing tumor registration,etiological research,early diagnosis and treatment,and other key areas,providing valuable experience for refining China's cancer prevention system.Based on over six decades of practical experience at the Linzhou site,this paper reviews its historical development,the construction of its prevention-control system,and emerging challenges in the new era,while exploring its reference significance for China's na-tionwide cancer prevention and control initiatives.

Objective:To assess the efficacy and safety of azacitidine combined with lenalidomide in MDS patients and explore potential mechanisms of therapeutic response.Methods:Sixteen MDS patients with TP53 mutations received azacitidine plus lenalidomide at ZhongDa Hospital, Southeast University (January 2021–June 2025). Efficacy and safety were assessed, and TP53 mutation status was correlated with treatment response. Whole-transcriptome sequencing and bioinformatics were used to explore molecular biomarkers associated with therapeutic efficacy.Results:Sixteen patients (median age 69.5 years, range 52–82; 8 males, 8 females) were enrolled. According to the Molecular International Prognostic Scoring System (IPSS-M), 1, 2, and 13 patients were classified as median low, high, and very high risk, respectively. Among 16 TP53-mutated patients, 11 had biallelic mutations and 5 had monoallelic mutations. Overall response rate was 56.3% (9/16), composite complete remission rate (CRc) was 31.3% (5/16), and hematology improvement rate was 25% (4/16). Among TP53-mutated patients, the response rate was 56.3% (9/16), with variant allele frequency dropping from 65.6% to 16.5% in responders ( P=0.017). In patients with TP53 mutations and complex karyotype, response rate was 53.8% (7/13), with 57.1% (4/7) showing disappearance of CK post-treatment. The most common grade 3–4 nonhematologic adverse events were infections (9/16, 56.3% ), including pneumonia (4/16, 25.0% ), gastrointestinal infections (3/16, 18.8% ), perianal infections (1/16, 6.3% ) and sepsis (1/16, 6.3% ). High CBX8 expression may be linked to treatment response. Conclusion:Azacitidine plus lenalidomide is an effective and safe therapy for MDS, including patients with TP53 mutations and complex karyotypes. Treatment markedly reduces TP53 variant allele frequency in responders, and high CBX8 expression may predict therapeutic response.

Objective To investigate the clinical characteristics and prognostic factors of Staphylococcus aureus bloodstream infections in adult patients for improving clinical treatment and identifying potential interventions.Methods Clinical data of inpatients diagnosed with S.aureus bloodstream infection confirmed by blood culture in a hospital from January 2016 to December 2023 were retrospectively reviewed.The data included patient age,gender,history of hospital admission,department of admission,underlying diseases,primary infection,quick Pitt bacteremia score(qPitt),invasive treatment,empirical anti-infective treatment,and treatment outcomes.Patients were assigned to case group or control group according to whether they died in hospital in order to identify the prognostic factors of patient outcomes.Binary logistic regression analysis was used to identify independent prognostic factors.Results A total of 233 cases of S.aureus bacteremia were identified.Multivariate logistic regression analysis showed that age ≥ 70 years old(OR=4.725,95％CI:1.228-18.173,P=0.024),diabetes mellitus(OR=8.161,95％CI:1.954-34.086,P=0.004),Charlson comorbidity index(CCI)≥ 5(OR=7.672,95％CI:1.901-30.963,P=0.004),hospital infection(OR=7.853,95％CI:1.588-38.832,P=0.012),and qPitt ≥ 2(OR=23.189,95％CI:4.461-120.552,P＜0.001)were independent prognostic factors for poor outcome of patients with S.aureus bacteremia,while catheter-associated infection(OR=0.051,95％CI:0.005-0.579,P=0.016)was negatively correlated with mortality.Conclusions Advanced age,diabetes mellitus,high CCI,hospital infection,and high qPitt were independent prognostic factors for poor outcomes of patients with S.aureus bacteremia.The patients should be well managed by timely removal of eradicable lesions to improve patient outcomes.

In recent years,more and more researches has focused on the correlation between cognitive activity and physiological variables.The change of pupil is regarded as an important target in the cognitive process,and has become a hot research field.This review focuses on the three key brain regions that regulate pupil change,and reflects the neurophysiological mechanism behind pupil change by elaborating the neural pathways related to pupil change and cognitive performance.Based on recent studies on pupil change in cognitive diseases,it aims to promote the application of pupil change in the field of cognitive science in the future.

Metabolomics covers a wide range of applications in life sciences,biomedicine,and phytology.Data acquisition(to achieve high coverage and efficiency)and analysis(to pursue good classification)are two key segments involved in metabolomics workflows.Various chemometric approaches utilizing either pattern recognition or machine learning have been employed to separate different groups.However,insufficient feature extraction,inappropriate feature selection,overfitting,or underfitting lead to an insufficient capacity to discriminate plants that are often easily confused.Using two ginseng varieties,namely Panax japonicus(PJ)and Panax japonicus var.major(PJvm),containing the similar ginsenosides,we integrated pseudo-targeted metabolomics and deep neural network(DNN)modeling to achieve accurate species differentiation.A pseudo-targeted metabolomics approach was optimized through data acquisition mode,ion pairs generation,comparison between multiple reaction monitoring(MRM)and scheduled MRM(sMRM),and chromatographic elution gradient.In total,1980 ion pairs were monitored within 23 min,allowing for the most comprehensive ginseng metabolome analysis.The established DNN model demonstrated excellent classification performance(in terms of accuracy,precision,recall,F1 score,area under the curve,and receiver operating characteristic(ROC))using the entire metabolome data and feature-selection dataset,exhibiting superior advantages over random forest(RF),support vector ma-chine(SVM),extreme gradient boosting(XGBoost),and multilayer perceptron(MLP).Moreover,DNNs were advantageous for automated feature learning,nonlinear modeling,adaptability,and generalization.This study confirmed practicality of the established strategy for efficient metabolomics data analysis and reliable classification performance even when using small-volume samples.This established approach holds promise for plant metabolomics and is not limited to ginseng.