Objective By using ultrasonography to calculate the ratio of optic nerve sheath diameter(ONSD)at 3 mm behind eyeball to the eyeball transverse diameter(ETD),based on which to evaluate the effect of dexmedetomidine on intracranial pressure(ICP)in patients with intracranial aneurysm after receiving interventional embolization under general anesthesia.Methods A total of 40 patients with intracranial aneurysm,who were scheduled to receive interventional embolization under general anesthesia at the Affiliated Lihuili Hospital of Ningbo University of China from May 2023 to November 2023,were selected for this study.By using random number table method,the patients were divided into control group(group C)and dexmedetomidine group(group D)with 20 patients in each group.Standardized anesthesia strategy was adopted in both groups.For patients of group D,a loading dose of dexmedetomidine was pumped at a velocity of 1 μg/(kg·h)for 10 min before the surgery,the pumping was continued at 0.5 μg/(kg·h)velocity during the operation,and the pumping stopped half an hour before the end of the operation.For patients of group C,the same anesthesia strategy was used,while no any special treatment was given.At the different time points,including before awakening(T0),immediately after extubation(T1),and 5 min(T2),10 min(T3),15 min(T4)after extubation,ONSD at 3 mm behind eyeball and ETD were measured by transorbital ultrasonography,and ONSD/ETD ratio was calculated to evaluate ICP.The mean arterial pressure(MAP),heart rate(HR),blood oxygen saturation(SPO2),severity of cough,and extubation time were recorded at the time to remove the catheter.Results Compared with the data obtained at T0,the ONSD/ETD ratios obtained at T1 and T2 were increased in both groups(P＜0.05),while the ONSD/ETD ratios obtained at other time points were not significantly different from the ONSD/ETD ratio obtained at T0(P＞0.05).Compared with Group C,in Group D the ONSD/ETD ratios obtained at T1 and T2 were smaller,the differences were statistically significant(P＜0.05).The incidence of moderate to severe cough in Group D was lower than that in Group C(P＜0.05).Compared with Group C,in Group D the HR and MAP determined at the time of removing catheter were lower(P＜0.05).The extubation time in Group D was longer than that in group C,the difference was statistically significant(P＜0.05).Conclusion ONSD/ETD ratio calculated by ultrasono-graphy can objectively reflect the changes of ICP during the extubation period.Dexmedetomidine can reduce the elevation degree of ICP through effectively inhibiting cough reflex and circulatory fluctuation during tracheal extubation.However,dexmedetomidine may increase the incidence of adverse events such as bradycardia,delayed extubation,etc.

Objective To investigate the value of cranial CT cisternal grading combined with D-dimer(D-D)and Glasgow Coma Scale(GCS)score in predicting the short-term postoperative prog-nosis of patients with severe traumatic brain injury.Methods A total of 165 patients with severe trau-matic brain injury who were treated in the hospital from January 2019 to May 2024 were selected as study subjects,all underwent craniotomy surgery.Postoperative follow-up was conducted for 3 months to analyze the differences in clinical data and preoperative indicators such as cranial CT cisternal grad-ing,D-D levels,and GCS scores between patients with poor and good prognosis.The value of cranial CT cisternal grading,D-D levels,and GCS scores in predicting short-term postoperative poor prognosis in patients with severe traumatic brain injury was also analyzed.Results Compared with patients with good prognosis,patients with poor prognosis had higher proportion of age,cranial CT cisternal grading of Ⅰ to Ⅱ,D-D levels,and GCS scores＜6(P＜0.05).There were no statistically significant differences in C-reactive protein,prothrombin time,activated partial thromboplastin time,international normalized ratio,total cholesterol,triglycerides,high-density lipoprotein cholesterol,and low-density lipoprotein cholesterol levels between patients with poor and good prognosis(P＞0.05).Cranial CT cisternal grading,D-D levels,and GCS scores were influencing factors for short-term postoperative poor prognosis in patients with severe traumatic brain injury(P＜0.05).The area under the curve for poor prognosis by three indicators in combination was 0.941(95％CI,0.906 to 0.975),which was higher than the area under the curve for the individual predictions of cranial CT cisternal grad-ing,D-D levels,and GCS scores(P＜0.05).Conclusion The influencing factors for short-term postoperative prognosis in patients with severe traumatic brain injury include cranial CT cisternal grading,D-D levels,and GCS scores.The model based on these three indicators has certain appli-cation value in predicting patient prognosis.

Understanding the metabolism of endogenous and exogenous substances in the human body is essential for elucidating disease mechanisms and evaluating the safety and efficacy of drug candidates during the drug development process. Recent advancements in artificial intelligence (AI), particularly in machine learning (ML) and deep learning (DL) techniques, have introduced innovative approaches to metabolism research, enabling more accurate predictions and insights. This paper emphasizes computational and AI-driven methodologies, highlighting how ML enhances predictive modeling for human metabolism at the molecular level and facilitates integration into genome-scale metabolic models (GEMs) at the omics level. Challenges still remain, including data heterogeneity and model interpretability. This work aims to provide valuable insights and references for researchers in drug discovery and development, ultimately contributing to the advancement of precision medicine.

Objective:To establish a rapid detection method based on matrix-assisted laser desorption ionization time-of-flight mass spectrometry(MALDI-TOF MS)for drug resistance of Carbapenem-resistant Enterobacteriaceae(CRE),so as to provide basis for enhancing clinically diagnostic effect.Methods:A total of 120 suspected CRE strains that were isolated from the clinical laboratory of Jiading District Central Hospital Affiliated to Shanghai University of Medicine&Health Sciences during October 2023 and September 2024 were collected,and the experimental detection of 44 strains was finally completed.The 44 suspected CRE bacterial strains were all from hospitalized patients.A rapid detection protocol based on the MALDI-TOF MS platform was initially established and improved,and experimental detection was carried out using the fully automatic rapid microbial mass spectrometry detection system(VITEK MS).The results of identification review and antimicrobial susceptibility test(AST)for VitEK-2 Compact strain was used as the reference standard.The screening results and detection efficacy of two kinds of detection methods were compared.Results:In the 44 suspected CRE strains,31 CRE strains were screened out by MALDI-TOF MS detection,and 31 CRE stains were screened out by VITEK-2 Compact recheck detection.In them,one strain of Enterobacter cloacae was confirmed as negativity by the MALDI-TOF MS test,but it was confirmed as CRE by the VITEK-2 Compact test.One strain of Klebsiella pneumoniae was confirmed as positivity by the MALDI-TOF MS test,but it was confirmed as mediator for carbapenem drugs by the VITEK-2 Compact test.The tested results of VITEK-2 Compact was used as standard,the results of four-grid table(2×2 contingency table)statistical method indicated that the sensitivity,specificity,accuracy rate and Youden index(R)of MALDI-TOF MS were respectively 96.7%,92.3%,100%and 89.1%.Conclusion:The rapid detection method based on the MALDI-TOF MS platform for CRE drug resistance has simple operation process and high accuracy rate,which can provide a basis for the application of targeted antibacterial drugs at early stage.

Organoids,as a three-dimensional structural model that has been rapidly developed and widely concerned in recent years,enable the key functions and microenvironment of internal organs to be simulated in the real world,and closely reflect the physiological and pathological characteristics of the natural occurrence and metastasis of tumors,providing a new platform for disease modeling,drug research and precision medicine.This paper briefly summarizes the limitations and development prospects of organoid models,analyzes the current construction and development of organoid models of lung cancer and its applicability compared with traditional models under the holistic concept of traditional Chinese medicine and the basic theory of syndrome differentiation and treatment,and discusses the application of organoid technology in the basic research of lung cancer treatment.The advantages in screening anti-tumor Chinese medicine and drug resistance research and precision medicine provide new ideas for realizing innovative breakthroughs in traditional Chinese medicine research combined with modern science and technology.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective To investigate the potential core target and its mechanism of Simiao San(SMS)in the treatment of rheumatoid arthritis(RA)using network pharmacology and animal experiments.Methods Active components and corresponding SMS targets were obtained from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform(TCMSP)and cross-referenced with the Universal Protein(UniProt)database.RA-related targets were screened from The Human Gene Database(GeneCards),Online Mendelian Inheritance in Man(OMIM),Therapeutic Target Database(TTD),DrugBank,and Disease Gene Network(DisGeNet).Protein-protein interaction(PPI)networks were constructed for shared targets between SMS and RA using Search Tool for the Retrieval of Interacting Genes/Proteins(STRING),followed by Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway enrichment analyses via The Database for Annotation,Visualization and Integrated Discovery(DAVID).A"herb active component-disease target-signaling pathway"network was established to predict the mechanism of SMS in RA treatment.Molecular docking was performed between aryl hydrocarbon receptor(AHR)and the core active components of SMS to identify AHR-targeting constituents.For animal experiments,30 female SPF-grade C57/BL mice were randomly divided into normal,model,methotrexate(1.52 mg/kg,every 3 days),and SMS(12.48 g/kg,daily)groups with a 30-day intervention.Ankle diameter and arthritis index scores were measured.HE staining was used to assess joint inflammation,whereas immunohistochemistry(IHC)was used to measure cytochrome P450 1A1(CYP1A1),nuclear factor kappa B subunit p65(p65),and phosphorylated p65(p-p65)protein expression levels.Multiplex immunofluorescence(mIHC)was used to evaluate forkhead box protein P3(FOXP3)and interleukin-17A(IL-17A)protein expression.Results Forty-one active components and 228 targets of SMS were identified from TCMSP,whereas 1,207 RA-related targets were extracted from GeneCards,OMIM,TTD,DrugBank,and DisGeNet.Ninety-four overlapping targets were analyzed,yielding 612 GO terms and 143 KEGG pathways.Molecular docking of the ligand-binding domain of AHR with the top 10 Degree values of compounds of SMS(quercetin,stigmasterol,wogonin,beta-sitosterol,kaempferol,baicalein,et al.)revealed that stigmasterol,beta-sitosterol,(S)-canadine,and isocorypalmine was able to bind to AHR stably.In vivo,compared to the model group,the mice of the SMS and methotrexate groups joint swelling and arthritis index scores reduced(P<0.01).IHC indicated elevated CYP1A1 protein and decreased p65 and p-p65 protein levels in the SMS and methotrexate groups(P<0.05,P<0.01).mIHC demonstrated reduced IL-17A and increased FOXP3 protein expression in the SMS and methotrexate groups(P<0.05,P<0.01).Conclusion SMS alleviates joint inflammation in RA mice,potentially by targeting AHR,one of the core targets.SMS may suppress excessive inflammatory responses by activating AHR and inhibiting p65 phosphorylation.Additionally,SMS modulates the helper T cells 17/regulatory T cells balance by downregulating IL-17A and upregulating FOXP3.These results suggest that AHR is a key mediator in T-cell immune regulation.

Objective:To analyze the association between inflammation-related dietary patterns and the risk for cognitive impairment in older adults aged ≥65 years in longevity areas in China by using reduced rank regression (RRR) analysis.Methods:This study used cross-sectional data from the 2021 Healthy Aging and Biomarkers Cohort Study, including the information about study participants' demographic characteristics, lifestyles, daily life activities, and disease histories. Dietary intake was obtained by using a simplified food frequency questionnaire. Cognitive impairment was evaluated based on the Mini-Mental State Examination Scale combined with years of education. Fasting venous blood samples were collected to detect inflammatory markers, especially high-sensitivity C-reactive protein (hs-CRP) and the platelet-to-lymphocyte ratio (PLR). RRR analysis was used to obtain inflammation-related dietary patterns using hs-CRP and PLR as response variables. Multivariate logistic regression model was used to analyze the association between dietary pattern score and the risk for cognitive impairment. Restricted cubic spline was used to explore the dose response relationship, and mediation analysis was used to quantify the mediating effects of hs-CRP and PLR.Results:Two dietary patterns were identified with RRR. The primary pattern was characterized by higher intakes of flour, red meat, and dairy products, and lower intake of fresh vegetables, explaining 6.84% of the variance in food intake and 0.50% of the variance in inflammatory markers. Compared with the T1 group, the T3 group had significantly higher risk for cognitive impairment ( OR=1.242, 95% CI: 1.034-1.491). Each one standard deviation increase in the dietary pattern score was associated with an 8.7% increase in the risk for cognitive impairment ( OR=1.087, 95% CI: 1.008-1.172), with a significant linear trend (overall-model P<0.001, non-linear P=0.295). Mediation analysis indicated that hs-CRP mediated 6.2% of the association between the dietary pattern and the risk for cognitive impairment. Conclusion:The inflammation- related dietary pattern characterized by higher consumption of flour, red meat, and dairy products and lower consumption of fresh vegetables is associated with an increased risk for cognitive impairment in older adults, and hs-CRP partially mediates this association.

Objective:To analyze the spatiotemporal correlation between the surveillance data of influenza in students reported by medical institutions and school absenteeism due to illness, and evaluate the application of Bayesian Structural Time Series model (BSTS) in the prediction of school influenza epidemic.Methods:A total of 13 schools in Dapeng new district of Shenzhen were selected. The incidence data of influenza in schools in Shenzhen from January 1, 2015 to December 31, 2019 were collected from China Disease Control and Prevention Information System and the illness related school absentence data during this period were collected from Shenzhen Student Health Surveillance System, and the spatiotemporal correlation between the data from two systems was analyzed and compared. BSTS was used to make long-term predictions of the monthly incidence of influenza in students in 2019 and short-term predictions of the weekly incidence of influenza in week 1-8 and week 45-52 of 2019 by using the data from two systems.Results:There was a temporal correlation between the data from China Disease Control and Prevention Information System and the data from Shenzhen Student Health Surveillance System ( r=0.93, P<0.001), and the lag of the former one was 1 day ( r=0.73, P<0.001). Influenza outbreaks were randomly distributed in different schools in Shenzhen, and there was no spatial correlation. The root mean square error ( RMSE) and mean absolute error ( MAE) were 0.35 and 0.28, respectively, in the long-term prediction, and the RMSE was 0.33 and 0.34, and the MAE was 0.26 and 0.28, respectively, in the short-term predictions of week 1-8 and week 45-52 of 2019, respectively, showing good prediction accuracy and fitting effect. Conclusion:By analyzing the data from China Disease Control and Prevention Information System and Shenzhen Student Health Surveillance System with BSTS, the dynamics of the school influenza epidemic can be accurately predicted, and effective technical support can be provided for the early warning and prevention and control of influenza epidemic.