OBJECTIVE To investigate the effects of subanesthetic dose of esketamine on postoperative anxiety and recovery in patients undergoing laparoscopic cholecystectomy. METHODS A total of 200 patients scheduled for laparoscopic cholecystectomy at Suzhou Ninth Hospital Affiliated to Soochow University from January 2023 to December 2024 were randomly assigned to control group （n＝100） and observation group （n＝100）. One minute before the initiation of anesthesia， patients in the control group received intravenous injections of Propofol emulsion injection， Sufentanil citrate injection， and Succinylcholine chloride injection. On this basis， patients in the observation group received an intravenous injection of Esketamine hydrochloride injection. The anxiety status of patients in both groups was compared， along with their general intraoperative conditions （including sufentanil dosage， duration of pneumoperitoneum， operative time， anesthesia time， and extubation time）， postoperative recovery， incidence of adverse reactions， and the need for dezocine rescue analgesia. Heart rate and mean arterial pressure， entropy index （state entropy and response entropy）， inflammatory marker levels [interleukin-6 （IL-6） and C-reactive protein （CRP）]， numerical rating scale （NRS） for pain intensity were compared between the two groups at different time points. RESULTS No significant differences were found between the two groups in pneumoperitoneum duration， operative time， anesthesia time，extubation time， incidence of postoperative dry mouth， entropy index or length of stay in the post-anesthesia care unit （P＞0.05）. Compared with the control group， the observation group showed significantly lower postoperative STAI-S scores， reduced intraoperative sufentanil consumption， decreased incidence of postoperative nausea， vomiting， and shivering， the need for dezocine rescue analgesia， as well as lower plasma IL-6 and CRP levels at 24 h after surgery， and NRS （P＜0.05）. The heart rate and mean arterial pressure of patients in the observation group at the start of surgery， end of surgery， and during extubation were all significantly higher than those in the control group （P＜0.05）. CONCLUSIONS Subanesthetic dose of esketamine can effectively alleviate postoperative anxiety， reduce intraoperative opioid consumption， suppress postoperative inflammatory response， relieve postoperative pain， and promote recovery in patients undergoing laparoscopic cholecystectomy.

ObjectiveTo investigate the inhibitory effect of Biejia Decoction Pill on the proliferation， migration， and aerobic glycolysis of hepatocellular carcinoma （HCC） using cell experiments， as well as related mechanisms. MethodsHuman liver cancer cell line Huh7 was selected， and Sprague-Dawley rats were randomly divided into blank serum group， inhibitor group， and high-， middle-， and low-dose Biejia Decoction Pill groups. Rat serum containing the drug was prepared for the incubation of Huh7 cells. CCK8 assay and scratch assay were used to explore the effect of Biejia Decoction Pill on the proliferation and migration of HCC cells； glycolytic rate-limiting enzymes and metabolites were measured to explore the effect of Biejia Decoction Pill on aerobic glycolysis of liver cancer cells； RT-qPCR and Western blot were used to explore the effect of Biejia Decoction Pill on the mRNA expression， related proteins， and phosphorylation of the protein kinase B （AKT）/mammalian target of rapamycin （mTOR） signaling pathway. A one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test or the Dunnett’s T3 test were used for further comparison between two groups. ResultsCompared with the blank serum group， the Biejia Decoction Pill groups had significant reductions in OD value， migration rate during different periods of time， glycolytic rate-limiting enzymes （hexokinase， phosphofructokinase， pyruvate kinase）， and glycolytic metabolites （pyruvate， lactic acid， ATP） （all P<0.05）. RT-qPCR results showed that compared with the blank serum group， the high-， middle-， and low-dose Biejia Decoction Pill groups had a significant reduction in the mRNA expression level of mTOR， and the high- and low-dose Biejia Decoction Pill groups had a significant reduction in the mRNA expression level of AKT （all P<0.05）. Western blot results showed that compared with the blank serum group， the high-， middle-， and low-dose Biejia Decoction Pill groups had significant reductions in the expression levels of mTOR-related proteins and phosphorylated proteins， and the high- and middle-dose Biejia Decoction Pill groups had significant reductions in the expression levels of AKT-related proteins and phosphorylated proteins （all P<0.05）. ConclusionThis study preliminarily verifies that the serum containing Bijia Decoction Pill can inhibit the aerobic glycolysis of human hepatoma Huh7 cells， thereby inhibiting their proliferation and migration， possibly by inhibiting the expression of the proteins related to the AKT/mTOR signaling pathway.

ObjectiveTo characterize the changes of metabolites of Blumea balsamifera in the process of sweating by non-targeted metabolomics， and to investigate the influence of sweating processing on the constituents of B. balsamifera. MethodsUltra performance liquid chromatography-quadrupole/electrostatic field orbitrap high resolution mass spectrometry（UPLC-Q-Exactive Orbitrap-MS） metabolomics was used to identify the metabolites in no sweating group（F1）， sweating 2 d group（F2） and sweating 4 d group（F3）， the differences of metabolites between the groups were compared by principal component analysis（PCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， and differential metabolites were screened according to the variable importance in the projection（VIP） value>1 and P<0.05， and the pathway enrichment of the differential metabolites was analyzed by Kyoto Encyclopedia of Genes and Genomes（KEGG）. ResultsThe results of PCA and OPLS-DA showed a clear distinction between the three groups of samples， indicating significant differences in the compositions of the three groups of samples. A total of 433 differential metabolites were screened between the F1 and F2， with 154 up-regulated and 279 down-regulated， the significant up-regulated metabolites were tangeritin， 5-O-demethylnobiletin and so on， while the metabolites with significant down-regulation included alternariol， fortunellin， etc. A total of 379 differential metabolites were screened between the F2 and F3， with 150 up-regulated and 229 down-regulated， the significant up-regulated metabolites were isoimperatorin， helianyl octanoate and so on， and the significant down-regulated metabolites were hovenoside I， goyasaponin Ⅲ， etc. KEGG pathway enrichment analysis showed that tyrosine metabolism， isoquinoline alkaloid biosynthesis， phenylalanine， tyrosine and tryptophan biosynthesis， tryptophan metabolism， valine， leucine and isoleucine biosynthesis， pantothenate and coenzyme A biosynthesis may be the key pathways affecting metabolite differences of B. balsamifera after sweating treatment. ConclusionSweating can reduce the content of endophytic mycotoxins in B. balsamifera and has a great impact on the synthesis and metabolic pathways of total flavonoids and auxin. This study can provide a reference for the process research on the sweating conditions of B. balsamifera.

ObjectiveBased on ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry（UPLC-Q-TOF-MS/MS）， network pharmacology and molecular docking techniques， to explore the pharmacodynamic material basis and mechanism of Renshen Wuweizi Tang in treating spleen-lung Qi deficiency syndrome. MethodsThe chemical components in the decoction of Renshen Wuweizi Tang were systematically characterized and identified by UPLC-Q-TOF-MS/MS， and network pharmacology was used to screen potential active ingredients， collect component targets and gene sets related to spleen-lung Qi deficiency syndrome， and obtain protein interaction relationships through STRING. Cytoscape 3.9.1 was used to construct a "formula-syndrome" association network and calculate topological feature values. Gene ontology（GO） function and Kyoto Encyclopedia of Genes and Genomes（KEGG） pathway enrichment analysis were performed on core genes to explore potential pharmacodynamic links， the average shortest path between the formula-drug target network and the pharmacodynamic link gene network was calculated to discover dominant pharmacodynamic links， and MCODE plugin was used to identify core gene clusters from the dominant pharmacodynamic links， which were validated using Gene Expression Omnibus（GEO）， and molecular docking was performed between key components and core targets. ResultsOne hundred and thirty-seven components were identified in the negative ion mode， and eighty components were identified in the positive ion mode. After deduplication， a total of 185 components were identified， mainly composed of triterpenoid saponins（49） and flavonoids（54）. Based on the "formula-syndrome" correlation network analysis， energy metabolism was determined to be the dominant pharmacodynamic link of Renshen Wuweizi Tang in the treatment of spleen-lung Qi deficiency syndrome. The results of molecular docking showed that 7 components（adenosine， atractylenolide Ⅱ， atractylenolide Ⅲ， ginsenoside Rg₁， glycyrrhizin B₂， glycyrrhizin E₂ and campesterol） from 4 medicinal materials（Ginseng Radix et Rhizoma， Atractylodis Macrocephalae Rhizoma， Glycyrrhizae Radix et Rhizoma and Poria） in this formula might regulate energy metabolism by acting on 6 targets， namely cyclic adenosine monophosphate-response element binding protein 1（CREB1）， glyceraldehyde-3-phosphate dehydrogenase（GAPDH）， interleukin（IL）-6， nuclear transcription factor（NF）-κB1， peroxisome proliferator-activated receptor α（PPARα）， and tumor necrosis factor（TNF）， thus improving the symptoms of diseases related to spleen-lung Qi deficiency syndrome. ConclusionThis study established a UPLC-Q-TOF-MS/MS for rapid characterization and identification of chemical components in the decoction of Renshen Wuweizi Tang， expanding the understanding of the material composition of this formula， and found that 7 components might act on the key advantageous pharmacodynamic link "energy metabolism" through 6 targets to improve the related symptoms of spleen-lung Qi deficiency syndrome. This can provide a reference for the subsequent exploration of the material benchmark and mechanism of the famous classical formula.

ObjectiveTo study the clinical features of viral encephalitis with isolated dizziness，and to analyze the diagnostic efficacy of vestibular function examination and cerebrospinal fluid cytology in these patients. MethodsTotally 37 cases of viral encephalitis with isolated dizziness and 10 healthy volunteers were included. Clinical data ［dizziness handicap inventory （DHI） score，head imaging，electroencephalogram，vestibular function test，cerebrospinal fluid routine，biochemistry，cell morphology，etiology second-generation sequencing，misdiagnosis］ were collected. The area under the ROC curve（AUC）of diagnostic value of each type of test was analyzed. The changes of each examination before and after treatment were compared. ResultsWe found 89.19%（33/37）of the patients were misdiagnosed. Vestibular function smooth follow-up test indicated vestibular central lesion （AUC value：0.82）in 64.86%（24/37）of the patients. The number of CSF transformed lymphocytes increased in 86.49%（32/37）of the patients（AUC value：0.93），the CSF large lymphocytes increased in 97.30% （36/37）of the patients （AUC value：0.99），and the mononucleosis was activated in 94.59%（35/37）of the patients（AUC value：0.97）. Furthermore，18.92%（7/37）of the patients had increased EEG slow wave（AUC value：0.60），while 13.51%（5/37） of the patients showed cortical swelling on head MR （AUC：0.60）. After antiviral treatment，dizziness grade decreased（Z=-4.899，P<0.001），smooth tracking abnormalities decreased（Z=-4.583，P<0.001），the proportion of CSF transformed lymphocytes decreased（t=4.281，P<0.001），and the proportion of large lymphocytes decreased（t=6.905，P<0.001）. ConclusionThe misdiagnosis rate of viral encephalitis with isolated dizziness is high. Incorporating into diagnosis the increased large lymphocytes， transformed lymphocytes，activated monocytes in CSF cytology with smooth follow-up test may improve diagnostic efficiency .

Objective: To investigate the epidemiological characteristics of human brucellosis in Jiande City, Zhejiang Province from 2005 to 2024, so as to provide the evidence for strengthening the prevention and control of brucellosis. Methods: Data on brucellosis cases and surveillance in Jiande City from 2005 to 2024 were collected through the Chinese Disease Prevention and Control Information System, the annual brucellosis surveillance reports from the Jiande Center for Disease Control and Prevention, and the annual summaries of brucellosis prevention and control efforts. The epidemiological characteristics of human brucellosis were analyzed using a descriptive epidemiological method. Results: A total of 1 125 individuals were monitored in Jiande City from 2005 to 2024, with 18 seropositive cases identified and the seropositivity rate of 1.60%. The average annual seropositivity rate from 2015 to 2024 was 3.35%, which was significantly higher than that of 0.57% from 2005 to 2014 (P<0.05). There were 10 confirmed brucellosis cases and 8 asymptomatic infections, with no reported deaths. The peak incidence occurred between March and August. Among the 16 towns (streets) in Jiande City, 8 reported brucellosis cases. Of the brucellosis cases, 14 were male and 4 were female, with a male-to-female ratio of 3.5∶1. The majority of cases (13 cases) were aged between 40 and 60 years. Occupational exposure was identified in 16 cases, all of whom were infected through direct hand contact with the excreta, secretions, or animal products of infected sheep or cattle. The primary source of infection was sheep, followed by cattle. Five strains of Brucella were isolated and cultured, all identified as Brucella melitensis biovar 3. Conclusions The brucellosis epidemic in Jiande City remained at a sporadic and low prevalence level from 2005 to 2024, with an increasing trend observed from 2015 to 2024. Male occupational groups aged 40 to 60 years were the key population for brucellosis prevention and control, and sheep were the primary source of infection.

The evolving health demands of contemporary society urgently call for adaptive adjustments in health policies and a comprehensive enhancement of perspectives， horizons， and viewpoints. Grounded in the solid foundation of traditional Chinese culture， this paper proposed a multidimensional evaluation system for assessing the health status of modern China's ideal life. Drawing upon the philosophical insights of Confucianism， Daoism， Mohism， Song-Ming Neo-Confucianism， and their subsequent developments， as well as core cultural values such as harmony （和）， happiness （福）， and joy （乐）， this system established a fundamental framework for evaluating health in modern ideal life. The framework consists of eight indices， i.e. harmony index， diligence index， peace of mind index， happiness index， compassion index， innovation index， fulfillment index， and adaptability index. The purpose of constructing this system is to comprehensively and deeply reflect the physical and mental characteristics and behavioral patterns of the Chinese population， and to provide a holistic evaluation framework for advancing the foundation of health in modern ideal life， offering solid scientific support for formulating health policies that align with China's national context.

Objective: To explore the relationship between psychological resilience and attention bias towards negative information in secondary vocational school students, so as to provide reference for developing their mental health work. Methods: In May, 2024, 177 secondary vocational students were selected from the technical secondary vocational school by convenient sampling method. The experiment utilized a mixed experimental design of 2 (group: high psychological resilience group, low psychological resilience group) ×2 (type of stimulus: negative stimulus, neutral stimulus). Adolescents were divided into the high psychological resilience group ( n =32) and the low psychological resilience group ( n =31) based on their scores from the Adolescent Psychological Resilience Scale. Both groups completed the classical dot probing task, with correct rate, reaction time serving and attention biasvalues as primary indicators to assess attention bias. Repeated measures ANOVA was used to compare the reaction time and accuracy of attention bias tasks between two groups of participants, and Pearson correlation analysis was performed on the five dimensions of psychological resilience and attention bias values. Results: The low resilience group exhibited significantly faster response time to negative stimuli compared to neutral stimuli [(579.11±85.44, 586.13±78.92)ms, F (1,61)=5.93, P <0.05]. Additionally, the accuracy of responses to negative stimuli in the low resilience group was significantly lower than that of neutral stimuli [(0.93±0.12, 0.95±0.09), F (1,61)=12.81, P <0.01]. Attention bias values were significantly higher in the low resilience group (7.03±18.43) compared to the high resilience group (-2.54±13.39) ( t =2.36, P <0.05). Pearson correlation analysis revealed a marginally significant negative correlation between the interpersonal assistance (2.85±0.77) and attention bias values (2.20±16.65) ( r=-0.25, P <0.05). Conclusion Secondary vocational school students with low psychological resilience showed a significant attention bias towards negative emotional stimuli, which may render them more susceptible to such stimuli.

Objective To analyze the characteristics of adverse drug reactions （ADR） reported in Sixth People’s Hospital South Campus, Shanghai Jiaotong University from 2021 to 2023, to provide reference for promoting rational clinical drug use. Methods ADR data reported in our hospital were collected retrospectively, including patients’ basic information, drugs causing adverse reactions, types of adverse reactions and outcomes. Descriptive analysis methods were used to summarize and analyze the data. Results A total of 979 cases of ADR were reported in our hospital from 2021 to 2023. The highest proportion of patients with ADR occurred in the age range of 31 to 50, and more male patients （63.5%）. The top five drugs involved with adverse reactions were antibiotics （48.8%）, Chinese medicine injections（19.2%）, vitamins（7.5%）, Chinese traditional medicine（7.2%）, equine tetanus immunoglobulin（6.3%）. Among antibiotics, cefuroxime, ceftazidime and cefotiam were the majority. The organs/systems involved in all ADR were mainly skin and accessories damage （55.4%）. The clinical manifestations were rash, itching, and maculopapular rash. Conclusion From 2021 to 2023, the most common drugs causing adverse drug reactions in our hospital were mainly antibacterial drugs, and the rational clinical use of antibacterial drugs still needs to be concerned.

Disorders of consciousness (DOC) are pathological conditions characterized by severely suppressed brain function and the persistent interruption or loss of consciousness. Accurate diagnosis and evaluation of DOC are prerequisites for precise treatment. Traditional assessment methods are primarily based on behavioral scales, which are inherently subjective and rely on observable behaviors. Moreover, traditional methods have a high misdiagnosis rate, particularly in distinguishing minimally conscious state (MCS) from vegetative state/unresponsive wakefulness syndrome (VS/UWS). This diagnostic uncertainty has driven the exploration of objective, reliable, and efficient assessment tools. Among these tools, electroencephalography (EEG) has garnered significant attention for its non-invasive nature, portability, and ability to capture real-time neurodynamics. This paper systematically reviews the application of EEG biomarkers in DOC assessment. These biomarkers are categorized into 3 main types: resting-state EEG features, task-related EEG features, and features derived from transcranial magnetic stimulation-EEG (TMS-EEG). Resting-state EEG biomarkers include features based on spectrum, microstates, nonlinear dynamics, and brain network metrics. These biomarkers provide baseline representations of brain activity in DOC patients. Studies have shown their ability to distinguish different levels of consciousness and predict clinical outcomes. However, because they are not task-specific, they are challenging to directly associate with specific brain functions or cognitive processes. Strengthening the correlation between resting-state EEG features and consciousness-related networks could offer more direct evidence for the pathophysiological mechanisms of DOC. Task-related EEG features include event-related potentials, event-related spectral modulations, and phase-related features. These features reveal the brain’s responses to external stimuli and provide dynamic information about residual cognitive functions, reflecting neurophysiological changes associated with specific cognitive, sensory, or behavioral tasks. Although these biomarkers demonstrate substantial value, their effectiveness rely on patient cooperation and task design. Developing experimental paradigms that are more effective at eliciting specific EEG features or creating composite paradigms capable of simultaneously inducing multiple features may more effectively capture the brain activity characteristics of DOC patients, thereby supporting clinical applications. TMS-EEG is a technique for probing the neurodynamics within thalamocortical networks without involving sensory, motor, or cognitive functions. Parameters such as the perturbational complexity index (PCI) have been proposed as reliable indicators of consciousness, providing objective quantification of cortical dynamics. However, despite its high sensitivity and objectivity compared to traditional EEG methods, TMS-EEG is constrained by physiological artifacts, operational complexity, and variability in stimulation parameters and targets across individuals. Future research should aim to standardize experimental protocols, optimize stimulation parameters, and develop automated analysis techniques to improve the feasibility of TMS-EEG in clinical applications. Our analysis suggests that no single EEG biomarker currently achieves an ideal balance between accuracy, robustness, and generalizability. Progress is constrained by inconsistencies in analysis methods, parameter settings, and experimental conditions. Additionally, the heterogeneity of DOC etiologies and dynamic changes in brain function add to the complexity of assessment. Future research should focus on the standardization of EEG biomarker research, integrating features from resting-state, task-related, and TMS-EEG paradigms to construct multimodal diagnostic models that enhance evaluation efficiency and accuracy. Multimodal data integration (e.g., combining EEG with functional near-infrared spectroscopy) and advancements in source localization algorithms can further improve the spatial precision of biomarkers. Leveraging machine learning and artificial intelligence technologies to develop intelligent diagnostic tools will accelerate the clinical adoption of EEG biomarkers in DOC diagnosis and prognosis, allowing for more precise evaluations of consciousness states and personalized treatment strategies.