A method for simultaneous determination of 21 kinds of Aconitum alkaloids(ATS)in biological specimens and infused liquor using ultra-performance liquid chromatography-tandem mass spectrometry(UPLC-MS/MS)was developed.The biological samples were pretreated with methanol-acetonitrile(1∶2,V/V)for protein precipitation,while infused liquors were diluted 100-fold with acetonitrile,followed by centrifugation,and filtration by a 0.22-μm membrane.Chromatographic separation was carried out on an EC-C18 column using gradient elution with the mixture of 10 mmol/L ammonium acetate and 0.2%formic acid as mobile phase A and acetonitrile as mobile phase B.With this method,all the analytes were separated within 9.5 min.The samples were detected in positive ESI mode with dynamic multiple reaction monitoring(MRM)and quantified via external standard calibration.The results showed that the concentrations of the analytes in the range of 2-1000 ng/mL had excellent linearity(R2>0.9992)with the peak area.The developed method was successfully used for detection of 21 kinds of aconitum alkaloids,with limits of detection of 0.5-2 ng/mL,quantification limits of 2-6 ng/mL,intra/inter-day precision≤6.0%,spiked recoveries of 89.4%-100.9%,extraction recoveries of 74.2%-104.4%,and matrix effects ranging from-11.1%to 9.2%in blood/urine.The method was applied to detection of 12 samples from 4 fatal aconite poisoning cases,and all 21 kinds of ATS with total alkaloid concentrations of 0.04-4.18 μg/mL in blood and 154.96-422.83 μg/mL in medicinal liquors were detected.Tissue distribution revealed that the order of concentrations from highest to lowest is as follows:urine(157.22 μg/mL)>gastric contents(51.37 μg/mL)>kidney(21.6 μg/g)>whole blood(4.18 μg/mL)>liver(0.03 μg/g).This method showed many advantages such as simple pretreatment,low detection limits,accurate quantification,broad analyte coverage,and superior anti-interference capability in complex matrices,proving ideal for forensic and toxicological analysis of aconitum alkaloids.

Aerosol-assisted plasma amplification laser-induced breakdown spectroscopy(LIBS)was employed for phosphorus detection in water.To address the multivariate coupling effects in LIBS and nebulization sampling system,an orthogonal experiment was employed to systematically optimize the key experimental parameters.Using the orthogonal experimental design,the parametric effects of laser energy(output voltage),signal acquisition delay,liquid velocity,and gas velocity on the signal to background ratio(SBR)of P I 213.618 nm were evaluated,and the optimal conditions were achieved,including laser energy of 86 mJ,delay time of 3 μs,gas velocity of 1.05 mL/min,and liquid velocity of 60 μL/min,which were in agreement with the control-variable optimization results.Moreover,the SBR response trends at P I 213.618 nm with all experimental parameters was strong in consistency with control-variable optimization results,which demonstrated the validity of the orthogonal array experimental design.This study established an efficient and accurate parameter optimization methodology for complex LIBS systems,significantly advancing the application of LIBS in environmental monitoring.

Objective:To observe the effect of modified autologous skull defect repair in patients with traumatic brain injury and its influence on neurological function and living ability.Methods:104 patients with traumatic brain injury who were admitted to our hospital from March 2022 to August 2024 were included,they were divided into Group A[37 cases,poly ether ether ketone(PEEK)skull defect repair],Group B(35 cases,traditional titanium mesh skull defect repair),and Group C(32 cases,modified autologous skull defect repair).Perioperative indicators,neurological function,activity of daily living,quality of life,satisfaction,and incidence of postoperative complications were compared among three groups.Results:There were no differences in the operation time,operation blood loss and postoperative hospital stay among the three groups(P＞0.05).The hospitalization costs of Group A,Group B and Group C decreased successively(P＜0.05).Activity of Daily Living(ADL)scores at 3 and 6 months after surgery increased among three groups,while National Institutes of Health Stroke Scale(NIHSS)scores decreased(P＜0.05).There was no significant difference in physiological function,social function,psychological function,and material life among the three groups at 6 months after surgery(P＞0.05).The overall satisfaction rate in Group C was higher than that of Group A and Group B(P＜0.05).The overall incidence of complications in Group C was lower than that in Group A and Group B(P＜0.05).Conclusion:PEEK,traditional titanium mesh,and modified autologous skull are used in skull defect repair,operation time,operation blood loss and postoperative hospital stay are comparable,they can also reduce neurological function damage,improve living ability,and enhance the quality of life of patients,however,PEEK is relatively expensive,the satisfaction of traditional titanium mesh is low,andincidence of postoperative complications are relatively high.

Aim To establish a simple and practical method for visualizing neurovascular coupling in the mouse barrel cortex in vivo.Methods Male C57BL/6J mice received stereotaxic in-jections of pAAV-hSyn-jGCaMP7s-WPRE into the barrel cortex to monitor neuronal activity.Three weeks post-injection,a crani-al window was implanted,and TRITC-Dextran 155 ku was ad-ministered intravenously to visualize the vasculature and blood flow dynamics.A custom-built whisker stimulator was used to e-voke controlled neuronal excitation.Two-photon microscopy was employed to monitor neuronal and vascular responses to whisker stimulation in real-time.Results Neuronal calcium signals and plasma signals were clearly observed using two-photon microsco-py.Whisker stimulation led to a significant increase in neuronal calcium signals in the barrel cortex,indicating effective neuronal activation.This neuronal excitation was accompanied by a syn-chronous increase in blood vessel diameter,blood flow velocity and overall blood flow.Conclusions This study successfully establishes a three-dimensional visualization framework(spatial,temporal,and functional)for in vivo visualization of neurovascu-lar coupling in the mouse barrel cortex,which provides a useful tool for investigating the pathophysiological mechanisms of neuro-vascular dysfunction and evaluating the efficacy of potential ther-apies.

Objective : To explore the polymorphism of endothelial nitric oxide synthase(eNOS) gene in umbilical cord blood of preterm infants and its relationship with major complications in preterm infants. Methods : A total of 254 preterm infants(<37 weeks) who were hospitalized were selected as the study subjects. Umbilical cord blood was collected at delivery to determine the genotypes and alleles of eNOS gene at three loci: rs61722009, rs2070744,and rs1799983. Clinical data of the preterm infants were recorded, and the relationship between eNOS gene polymorphism and major complications in preterm infants was analyzed. Results: (1) The TC+CC genotype at locus rs2070744 was an independent risk factor for bronchopulmonary dysplasia(BPD) in preterm infants, with an OR(95%CI) of 1.266(1.017-1.577).(2) The GT+TT genotype at locus rs1799983 was an independent risk factor for retinopathy prematurity(ROP), with an OR(95%CI) of 1.184(1.008-1.391).(3) The AB+AA genotype at locus rs61722009 was also an independent risk factor for ROP,with an OR(95%CI) of 1.335(1.033-1. 726).(4) There was no significant relationship between gene polymorphism and the occurrence of respiratory distress syndrome( RDS) and periventricular-intraventricular hemorrhage( PIVH). Conclusion eNOS gene polymorphism is associated with the occurrence of BPD and ROP in preterm infants. The evaluation of e NOS gene polymorphism by umbilical cord blood measurement is helpful for the prevention and correct management of some serious complications.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

Objective To analyze the global research literature on monkeypox from 2014 to 2024 through bibliometric analysis,and provide reference for monkeypox research in China.Methods Based on data from the Web of Science Core Collection database and utilizing the visualization analysis capabilities of VOSviewer software,we employed keyword co-occurrence analysis and national cooperative network analysis methods and examined the trends in monkeypox research publications,popular journals,high-yield institutions,international collaborations,and keywords.Results A total of 2 396 papers were published from 2014 to 2024,with a significant increase in publications after 2022.The United States had the highest number of publications(808 papers,accounting for 33.72%).The network of international scientific collaborations showed close cooperation between the United States and countries like the United Kingdom and Canada,frequent collaborations among developing countries such as China and India,and extensive cooperation among European countries like Italy and Spain,which also established partnerships with Brazil,Mexico,and others.Keywords co-occurrence clustering and essential science indicators(ESI)highly cited papers revealed that the monkeypox research hotspots after 2022 including the analysis of the virology,clinical,epidemiological characteristics of the global outbreak in 2022,uncovering the causes of the global outbreak and the differences from previous outbreaks.Studies on vaccines and antiviral drugs also gradually became focal points.Conclusion Since the outbreak of monkeypox in 2022,monkeypox research has developed rapidly.Papers focus on specific populations,and gradually shifting from virological,clinical and epidemiological characterization to the development of new drugs,vaccines,and clinical validation studies.

Objective To analyze the current status of malaria vaccine research from 2019 to 2024 by using bibliometric methods.Methods Based on the Web of Science core collection database,we used VOSviewer to conduct a visual analysis of the publishing trends,publishing journals,international cooperation status,institutions and research hotspots of malaria vaccine research.Results A total of 2 467 relevant articles were retrieved,and the annual number of publications showed a stable trend.The number of articles published by different countries/regions varied greatly,and the top effect was obvious.The United States published the most papers(1 032 articles,41.83%).The international cooperation network reflected the regional collaborative relationships in malaria vaccine research,predominantly involving the United States,the United Kingdom,Australia,India and China.Through keyword co-occurrence clustering,the current research hotspots in the field of malaria vaccines were basic research on key sites and mechanisms of potential vaccines,clinical research on new vaccines,epidemiological studies on the impact of malaria vaccines on malaria transmission,etc.Conclusion In recent years,malaria vaccine research has received sustained attention.The translation of clinical research on malaria vaccine was currently accelerating,and children and women were still the key groups of concern.

This study was aimed at establishing a method of ultra-fast quantitative PCR for Brucella detection.We used an exogenous recombinant plasmid as the internal reference and targeted the T4SS secretion system,an important Brucella viru-lence factor,to design specific primers and probes.The sensitivity,specificity,and repeatability of this method were evaluated,and a standard curve was constructed.The coincidence rate of detection findings with this method versus quantitative PCR was determined.This method markedly decreased the detection time to only 10 minutes.The standard curve demonstrated a good linear relationship(Y=-3.410 7x+38.357,R2=0.998 5)with a low minimum detection limit of 10 copies/μL.The method exhibited good specificity and did not specifically amplify several common clinical bacteria other than Brucella.The de-tection of three concentrations of positive plasmids yielded coefficients of variation(CVs)of 0.20％to 0.91％,thus demonstra-ting the method's excellent repeatability.Furthermore,140 clinical samples were analyzed concurrently with the fluorescence PCR method,which yielded a 100％compliance rate and consistent results.Our findings indicated that the Brucella ultra-fast quantitative PCR was ultrafast;had high sensitivity,high specificity,and good specificity;and can be used for the clinical de-tection of Brucella and emergency investigation of epidemics.Therefore,this method is valuable for the early diagnosis of Bru-cella.

This review aims to summarize the progress of multi-omics technologies in the study of antibi-otic resistance in Cronobacter,with the goal of gaining a deep understanding of its resistance mechanisms and providing a scientific basis for the development of new treatment methods and prevention strategies.By integrating genomics,transcriptomics,proteomics,and metabolomics,the study analyzes gene varia-tions,expression patterns,protein function changes,and metabolic pathway adjustments in Cronobacter.This includes the use of whole-genome sequencing to reveal gene variations related to antibiotic resist-ance,RNA-seq technology to monitor changes in gene expression patterns,proteomics to study protein expression and function,and metabolomics to analyze dynamic changes in metabolites.The research has found that factors such as biofilm formation and outer membrane proteins significantly affect the antibiotic resistance of Cronobacter.In addition,new potential influencing factors have been identified,including the expression changes of multidrug efflux pump genes,which may play a key role in enhancing antibiotic efflux and reducing intracellular antibiotic concentrations.Multi-omics technologies provide a comprehen-sive and in-depth perspective for the study of antibiotic resistance in Cronobacter,revealing multiple fac-tors and potential mechanisms that affect resistance.Although some new influencing factors have been i-dentified,their specific molecular mechanisms still require further investigation.The application pros-pects of multi-omics technologies are broad,and they are expected to provide important support for the development of new treatment methods and prevention strategies.