Objective:To investigate the predictive value of high-resolution magnetic resonance vessel wall imaging (HRMR-VWI) features for the etiology of acute ischemic stroke (AIS) caused by intracranial large vessel occlusion (LVO).Methods:Patients diagnosed with AIS caused by LVO at the Affiliated Hospital of Yangzhou University from August 1, 2019 to August 1, 2022 were retrospectively collected. All patients underwent HRMR-VWI evaluation and endovascular treatment between 4.5 and 24 hours after onset. Complete recanalization of occluded vessels after direct aspiration first-pass was defined as embolic LVO, and those with residual stenosis >50% after the direct aspiration first-pass were classified as intracranial atherosclerotic stenosis related LVO (ICAS-LVO).Results:A total of 28 patients were included. Their age was 65.32±2.23 years, 20 (71.4%) were males. There were 22 patients (78.6%) in the embo-LVO group and 6 (21.4%) in the ICAS-LVO group. Multivariate logistic regression analysis showed that the remodeling index was an independent predictor of ICAS-LVO (odds ratio 1.081, 95% confidence interval 1.001-1.167; P=0.046). The receiver operating characteristic curve analysis showed that the area under the curve of the remodeling index for predicting ICAS-LVO was 0.882 (95% confidence interval 0.724-1.00; P=0.003). The optimal cutoff value was 1.1, and the predictive sensitivity and specificity were 66.7% and 100.0%, respectively. Conclusions:The HRMR-VWI remodeling index is an independent predictor of ICAS-LVO, with a remodeling index ≥1.1 indicating ICAS-LVO. HRMR-VWI can help identify the etiology of patients with AIS caused by LVO, thereby guiding endovascular treatment.

Objective To investigate the value of non-contrast CT(NCCT)-based radiomics for identifying acute unilateral middle cerebral artery occlusion(MCAO)with negative hyperdense artery sign(HAS).Methods All 80 patients with acute unilateral MCAO confirmed by angiography(MR angiography[MRA]or CT angiography[CTA]or DSA)and presenting with negative NCCT presentation for HAS were enrolled from January 2015 to June 2023 in the Emergency Department of Stroke Center of Affiliated Hospital of Yangzhou university.On the NCCT images,the occluded segment of the middle cerebral artery on the affected side of each case and the corresponding segment of the vessel on the normal side were used as the regions of interest,and a total of 108 radiomic features were extracted.The least absolute shrinkage and selection operator(LASSO)was used to screen the key features,construct and calculate the radiomics score,and four imaging histology models,support vector machine(SVM),light gradient boosting machine(LightGBM),GradientBoosting and adaptive boosting(AdaBoost),were built respectively to predict MCAO.Predictive performance was evaluated by the area under the receiver operating characteristic curves,and comparisons between the modeled receiver operating characteristic curves were made using the Delong test.Finally,the value of the application of radiological modeling was assessed by clinical decision curve analysis(DCA).Results The NCCT images based on 160 vessels were finally screened for 6 key features,including skewness,energy,gray level size zone matrix(GLSZM)-gray uneven,GLSZM-low gray area emphasis,GLSZM-size area non-uniform standardization,GLSZM-area entropy.The area under the curve(AUC)of the SVM-test was 0.688(95％CI 0.497-0.878)with an accuracy of 0.688;the AUC of the LightGBM-test was 0.787(95％CI 0.620-0.955)with an accuracy of 0.781;the AUC of the GradientBoosting-test was 0.654(95％CI 0.457-0.852)with an accuracy of 0.688;the AUC of the AdaBoost-test was 0.707(95％CI 0.515-0.899)with an accuracy of 0.750.The Delong test showed a statistically significant difference between LightGBM-test and GradientBoosting-test(P=0.040),and no statistically significant difference in performance between the remaining models(all P＞0.05).DCA showed that the LightGBM-test performed better.Conclusion NCCT-based radiomics has good diagnostic efficacy for identifying acute unilateral MCAO with negative HAS,and this conclusion needs to be further verified by multi-center and large sample studies.

This study was aimed at comparing performance differences among three metagenomic sequencing platforms,MGISEQ-2000,Illumina NextSeq 2000,and Ion GeneStudio S5 Plus,to optimize the sequencing process for trace samples.The three sequencing platforms were used to perform high-throughput sequencing on DNA standards and simulated samples.Through analysis of the quality of raw data and microbial detection capabilities,systematic differences among platforms were compared.The sequencing results were optimized for trace samples by incorporation of exogenous nucleic acids during the li-brary preparation process.In terms of data output per batch and base quality,MGISEQ-2000 surpassed the other two plat-forms.Illumina NextSeq 2000 had the lowest proportion of duplicate reads,whereas Ion GeneStudio S5 Plus had the highest proportion,and significant differences were observed across platforms(P＜0.001).In sequencing uniformity,MGISEQ-2000 and Illumina NextSeq 2000 were superior to Ion GeneStudio S5 Plus.MGISEQ-2000 provided a substantial advantage in microbial detection capability(P＜0.001),but the advantage diminished with decreasing bacterial fluid concentration.Ion GeneStudio S5 Plus had the shortest duration for single-batch sequencing.Moreo-ver,for trace samples with DNA content ≤0.05 ng,the experi-mental group(with added exogenous nucleic acids)achieved a higher number of reads than the control group(without exogenous nucleic acids),with a 11.09±8.03 fold increase.In conclu-sion,the different sequencing platforms each had advantages and disadvantages,thus allowing researchers to choose the appro-priate platform according to specific needs.Furthermore,the addition of exogenous nucleic acids improved the microorganism detection efficiency,and provided better support for subsequent diagnosis and evaluation of results.

This study aims to analyze the main drug resistance mechanism of Salmonella enteritidis induced by polymyxin in vitro.In this study,the resistance of Salmonella enteritidis CMCC(B)50335(ZK)to polymyxin was induced in vitro,and the growth characteristics,exercise ability,ul-trastructure and sensitivity to 16 antimicrobial agents before and after induction were determined by turbidimetry,semi-solid agar method,transmission electron microscope and disk diffusion method,and the whole genome and single nucleotide polymorphism(SNP)were detected by Illu-mina NovaSeq PE150 method.RT-qPCR was used to detect the differences in the expression levels of six drug-resistant related genes.The recombinant strain △phoPE1-128-1,which induced drug-resistant strain E1-128-1,was constructed by homologous recombination of Red Escherichia coli,and its sensitivity to polymyxin was detected.The results showed that three strains of induced drug-resistant bacteria E1-128-1,E1-128-3 and E2-128-3 were screened out,and the MIC increased by 128,64 and 64 times respectively after drug resistance stability test.Induced drug resistance had no significant effect on the growth ability of the tested bacteria and the sensitivity of 16 antibacte-rial drugs.The exercise ability of E1-128-1was significantly increased,and the cell wall and plasma membrane obviously thicken.There was no significant difference in the genome components of E1-128-1 before and after induction,but eight missense mutations of six drug-resistance related genes,including phoP/phoQ,cpxP,lptD,csrA and acrB,were detected,including four missense mutation sites of phoP,namely Leu185Trp,His189Ser,Thr190Tyr and Ile191His.The corresponding genes were sequenced by PCR,and the results were consistent with those of SNP.RT-qPCR results showed that the expression levels of mutant genes of the three induced strains increased signifi-cantly.Compared with E1-128-1,the MIC of △phoP E1-128-1 decreased to 1 mg/L.It is sug-gested that the mutation and increased expression of phoP gene are important factors for inducing polymyxin resistance of Salmonella CMCC(B)50335 in vitro.

Objective To explore the effective target and active ingredient prediction of premature ovarian insufficiency(POI)treated by Tiaojing decoction by ferroptosis pathway by network pharmacokogy and bioniformatics.Methods The active ingredients and target genes of Tiaojing decoction were obtained through traditional Chinese medicine systems pharmacology database and analysis platform(TCMSP)and bioinformatics analysis tool for molecular mechanism of traditional Chinese medicine databases,disease targets for POI were obtained by using GeneCards,therapeutic target database and Drugbank,and intersection targets were obtained by Venn.Core target gene network of Tiaojing decoction in treatment of POI were constructed through the ferroptosis pathway by ferroptosis database,Cytoscape and STRING software.Then,the DAVID database was used to perform gene ontology and biological pathway enrichment analysis on the predicted targets related to ferroptosis of POI treated with Tiaojing decoction.Subsequently,differential genes in biology related to POI were obtained through the gene expression omnibus(GEO)database for further extraction of key targets,and the binding affinity of active small molecule drug components were verified through molecular docking.Results A total of 154 active ingredients,101 targets related to POI and 23 genes related to ferroptosis were selected from 13 kinds of traditional Chinese medicines in Tiaojing decoction.The enrichment analysis showed that the main involved pathways were phosphatidylinositol-4,5-bisphosphate 3-kinase/protein kinase B(PI3K/Akt)signaling pathway and hypoxia inducible factor-1 signaling pathway.Through GEO database screening,the key targets of Tiaojing decoction in intervening POI through ferroptosis pathway were glycogen synthase kinase-3 β(GSK-3 β),caveolin-1(CAV1),mammalian target of rapamycin(mTOR)and protein kinase C alpha gene(PRKCA),all expression of which reduced in POI.The results of molecular docking showed that CAV1-quercetin and GSK-3β-luteolin had stable binding ability.Conclusion The network pharmacology results suggest that the ferroptosis pathway may be an important mechanism of Tiaojing decoction in treatment of POI,GSK-3β,CAV1,mTOR,PRKCA and other targets,as well as PI3K/Akt signaling pathway,may play important roles in them.

Objective:To investigate the perioperative impact of closure of mesenteric fissure in laparoscopic right hemicolectomy.Methods:The prospective randomized controlled trial was conducted. The clinical data of 320 patients who underwent laparoscopic right hemicolectomy in 11 medical centers, including The First Affiliated Hospital of China Medical University et al, from November 2022 to August 2023 were selected. Based on block randomization, patients were alloca-ted into the mesenteric fissure non-closure group and the mesenteric fissure closure group. Observa-tion indicators: (1) grouping of the enrolled patients; (2) intraoperative conditions; (3) postopera-tive conditions. Measurement data with skewed distribution were represented as M( Q1, Q3) and com-parison between groups was conducted using the Mann-Whitney U test. Count data were represen-ted as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher's exact probability. Comparison of ordinal data was conducted using the rank sum test. Comparison of visual analog scores was analyzed using generalized estimating equations. Results:(1) Grouping of the enrolled patients. A total of 320 patients with colon cancer were screened for eligibility, including 156 males and 164 females, aged 68(59,73)years. All the 320 patients were allocated into the mesenteric fissure non-closure group with 164 cases and the mesenteric fissure closure group with 156 cases. There was no significant difference in the age, body mass index, American Society of Anesthesiologist score, maximum tumor diameter, anastomosis location, anastomosis method, surgical approach, range of lymph node dissection, tumor staging between the two groups ( P>0.05) and there was a significant difference in the sex between them ( P<0.05). (2) Intraoperative conditions. There was no significant difference between the mesenteric fissure closure group and the mesenteric fissure non-closure group in the volume of intraoperative blood loss, operation time, conversion to laparotomy, intraoperative complication ( P>0.05). Three patients in the mesenteric fissure non-closure group were converted to laparotomy. One patient in the mesenteric fissure closure group was converted to laparotomy, and 2 cases with intraoperative complication were mesenteric hematoma. (3) Postoperative conditions. There was no significant difference between the mesenteric fissure non-closure group and the mesenteric fissure closure group in the overall postoperative complications ( χ2=0.28, P>0.05). There was no significant difference in the occurrence of postoperative intestinal obstruction, abdominal distension, ascites, pleural effusion, gastric paralysis, anastomotic bleeding, anastomotic leakage, or surgical wound infection between the two groups ( P>0.05). There was no significant difference between the two groups in the reoperation, postoperative gastric tube replacement. There was no significant differ-ence in time to postoperative first flatus, time to postoperative initial liquid food intake, time to post-operative resumption of bowel movements, duration of postoperative hospital stay, total hospital expenses between the two groups ( Z=-0.01, 0.43, 1.04, -0.54, -0.36, P>0.05). One patient in the mesenteric fissure non-closure group received reoperation. No perioperative internal hernia or death occurred in either group. The visual analog score decreased with time in both groups. There was no significant difference in the visual analog score between the mesenteric fissure closure group and the mesenteric fissure non-closure group [ β=-0.20(-0.53,0.13), P>0.05]. Conclusion:Compared with closure of mesenteric fissure, non-closure of mesenteric fissure during laparoscopic right hemi-colectomy dose not increase perioperative complications or postoperative management risk.

Objective To investigate the dosimetric effects of different calculation grid size(CGS)in helical tomotherapy(HT)planning system on stereotactic body radiation therapy(SBRT)for non-small cell lung cancer(NSCLC).Methods Nine NSCLC patients receiving radiation therapy for the first time at some hospital from March 2019 to December 2022 were selected as the subjects.SBRT planning was carried out through the HT system with three different CGS plans(Fine,Normal,and Coarse)and the same pitch,modulation factor(MF)and optimization conditions,and the target area indexes of the three CGS plans were compared including conformity index(CI),homogeneity index(HI),dosimetric parameters of the organ at risk(OAR),point dose verification pass rate,treatment time,number of monitor units and Sinograms.SPSS 22.0 was used for statistical analysis.Results For target area HI,there weres significant differences between CGS Fine plan and Coarse plan and between CGS Normal plan and Coarse plan(P＜0.05),while no statistical differences were found between CGS Fine plan and Normal plan(P＞0.05).For target area CI,there were significant differences between CGS Fine plan and Coarse plan(P＜0.05),while no statistical differences were found between CGS Fine plan and Normal plan and between CGS Normal plan and Coarse plan(P＞0.05).For OAR dosimetric parameters,CGS Fine plan and Coarse plan had significant differences in heart Dmax and Dmean,esophageal Dmax and Dmean,V5,V20,V30 and Dmean of the whole lung and affected lung,V5 and Dmax of the affected lung and heart V10 and V30(P＜0.05),CGS Normal plan and Coarse plan had obvious differences in esophageal Dmax(P＜0.05),and the remained dosimetric parameters were not statistically significant(P＞0.05).Fine,Normal and Coarse plans had the point dose verifica-tion pass rates being 0.96％,1.50％and 1.77％,respectively.In terms of treatment time and number of monitor units,there were significant differences between Fine plan and Coarse plan(P＜0.05)while no statistical differences were found between Fine and Normal plans and between Normal and Coarse plans(P＞0.05).Sinograms analyses showed Fine plan had evenly distributed segment color gradient,Coarse plan had areas of very dark and very light color gradients and Normal plan was somewhere in between.Conclusion Low CGS has to be used as much as possible to obtain accurate dose distribution during SBRT planning for NSCLC patients,which contributes to the execution of the radiation therapy plan and the prevention of ad-verse effects.[Chinese Medical Equipment Journal,2024,45(2):52-57]

Aim To anticipate the mechanism of zuka- mu granules (ZKMG) in the treatment of bronchial asthma, and to confirm the projected outcomes through in vivo tests via using network pharmacology and molecular docking technology. Methods The database was examined for ZKMG targets, active substances, and prospective targets for bronchial asthma. The protein protein interaction network diagram (PPI) and the medication component target network were created using ZKMG and the intersection targets of bronchial asthma. The Kyoto Encyclopedia of Genes and Genomics (KEGG) and gene ontology (GO) were used for enrichment analysis, and network pharmacology findings were used for molecular docking, ovalbumin (OVA) intraperitoneal injection was used to create a bronchial asthma model, and in vivo tests were used to confirm how ZKMG affected bronchial asthma. Results There were 176 key targets for ZKMG's treatment of bronchial asthma, most of which involved biological processes like signal transduction, negative regulation of apoptotic processes, and angiogenesis. ZKMG contained 194 potentially active components, including quercetin, kaempferol, luteolin, and other important components. Via signaling pathways such TNF, vascular endothelial growth factor A (VEGFA), cancer pathway, and MAPK, they had therapeutic effects on bronchial asthma. Conclusion Key components had strong binding activity with appropriate targets, according to molecular docking data. In vivo tests showed that ZKMG could reduce p-p38, p-ERKl/2, and p-I

Anti-tumor traditional Chinese medicine has a long history of clinic application, in which the star molecules have always been the hotspot of modern drug research, but they are limited by the solubility, stability, targeting, bioactivity or toxicity of the monomer components of traditional Chinese medicine anti-tumor star molecules and other pharmacokinetic problems, which hinders the traditional Chinese medicine anti-tumor star molecules for further clinical translation and application. Currently, the nanosystems prepared by supramolecular technologies such as molecular self-assembly and nanomaterial encapsulation have broader application prospects in improving the anti-tumor effect of active components of traditional Chinese medicine, which has attracted extensive attention from scholars at home and abroad. In this paper, we systematically review the research progress in preparation of supramolecular nano-systems from anti-tumor star molecule of traditional Chinese medicine, and summarize the two major categories and ten small classes of carrier-free and carrier-based supramolecular nanosystems and their research cases, and the future development direction is put forward. The purpose of this paper is to provide reference for the research and clinical transformation of using supramolecular technology to improve the clinical application of anti-tumor star molecule of traditional Chinese medicine.

ObjectiveIn order to improve the recognition accuracy of named entities in medical record texts and realize the effective mining and utilization of medical record knowledge， a Bert-Radical-Lexicon（BRL） neural network model is constructed to recognize medical record entities with respect to the characteristics of medical record texts. MethodWe selected 408 medical records related to hypertension from the the Complete Library of Famous Medical Records of Chinese Dynasties and constructed a dataset consisting of 1 672 medical records by manually labeling. Then， we randomly divided the dataset into three subsets， including the training set（1 004 cases）， the testing set （334 cases） and the validation set（334 cases）. Based on this dataset， we built a BRL model that fused various text features of medical records， as well as its variants BRL-B， BRL-L and BRL-R， and a baseline model Base for experiments. During the model training phase， we trained the above models using the training set to reduce the risk of overfitting. We continuously monitored the performance of each model on the validation set during training and saved the model with the best performance. Finally， we evaluated the performance of these models on the testing set. ResultCompared with other models， the BRL model had the best performance in the medical records named entity recognition task， with an overall recognition precision of 90.09%， a recall of 90.61%， and the harmonic mean of the precision and recall（F1） of 90.35% for eight types of entities， including disease， symptom， tongue manifestation， pulse condition， syndrome， method of treatment， prescription and traditional Chinese medicine（TCM）. Compared with the Base model， the BRL model improved the overall F1 value of entity recognition by 5.22%， and the F1 value of pulse condition entity increased by 6.92%， which was the largest increase. ConclusionBy incorporating a variety of medical record text features in the embedding layer， the BRL neural network model has stronger named entity recognition ability， and thus extracts more accurate and reliable TCM clinical information.