Objective Radial artery occlusion(RAO)is one of the common complications following coronary intervention via the traditional radial artery approach.This study aims to evaluate the clinical effectiveness of retrograde recanalization of occluded radial arteries through the distal transradial approach(dTRA)approach.Methods A total of 35 patients with RAO admitted to the cardiovascular department of the Anhui Chest hospital between December 2022 and April 2024,who were scheduled to undergo coronary intervention and had attempted recanalization of RAO via dTRA approach were selected.The primary result was the success rate of recanalizing RAO via dTRA.The secondary results included factors influencing the failure of recanalization via dTRA,postoperative puncture complications,and the patency rate at the 3-month follow-up.Results This study divided the patients into a successful group(29 cases,82.9％)and a failed group(6 cases,17.1％)based on whether the distal radial artery was successfully opened and occluded.The proportion of smoking(100.00％vs.17.24％,P=0.040),history of diabetes(100.00％vs.10.34％,P=0.025),and chronic total occlusion of coronary artery(83.33％vs.17.24％,P=0.030)in the failure group were higher than those in the success group,and the difference was statistically significant.The application rate of balloon tracking assisted technology in the failed group(16.67％vs.58.62％,P=0.045),and the diameter of the radial artery at 3 days after surgery[(1.63±0.13)mm vs.(2.13±0.32)mm,P=0.021]and the peak radial artery blood flow velocity at 3 days postoperatively[(0.10±0.78)m/s vs.(0.50±0.13)m/s,P＜0.001]were all lower in the successful group,and the differences were statistically significant.Logistic regression analysis 3 days after surgery showed that chronic complete occlusion of the coronary artery was an independent risk factor for surgical opening failure(OR 0.042,95％CI 0.004-0.438,P=0.008).After 3 months of follow-up,the patency rate of the successful group was 55.2％.Conclusions Retrograde recanalization of RAO via dTRA is safe and feasible,but its long-term patency rate is not high.

Streptococcus equinus is a zoonotic disease that can cause illness in various animals under specific environmental condi-tions.No reports have described isolation of this bacterium from the liver in affected sheep.This study successfully isolated and identi-fied a strain of Streptococcus equinus through bacterial isolation and culture,Gram staining,drug sensitivity testing,mouse sensitivity testing,bacterial biochemical testing,and whole genome sequencing.The strain was found to have pathogenicity toward Kunming white mice,and to be sensitive to four antibiotics(penicillin,ampicillin,ceftiofur sodium,and ceftriaxone sodium)but resistant to four antibiotics(streptomycin,amoxicillin,tetracycline,and gentamicin).On the basis of drug sensitivity testing,targeted treatment of the affected sheep flock with ceftiofur sodium effectively controlled the disease within 2 days,and no new cases occurred.This study provides a reference for biological characterization of ovine Streptococcus equinus;public health;and the investigation of disease pre-vention,control,and epidemiology.

This study was analyzed the spatial-temporal distribution and aggregation characteristics of Yersinia pestispositive host animals and vector pathogens in marmot natural foci in the Qilian-Altun mountains,Gansu Province,to provide a scientific basis for precise plague prevention and control.Y.pestissurveillance data for marmot natural foci in Qilian-Altun Mountains of Gansu Province from 2014 to 2023 were obtained from the Disease Control and Prevention Center of Gansu Province.Origin 2024 software was used for data visualization and presentation.Global and local spatial autocorrelation analyses and trend analyses were conducted in ArcGIS 10.8 software,with townships as the spatial scale.Cumulatively,440 strains of Y.pestis were isolated from the natural marmot foci in the Qilian-Altun mountainsof Gansu Province from 2014 to 2023.Most strains was isolated from marmots(345 strains,78.41%),and the remainder were isolated from vectors.Temporal distribution analysis indicated that the highest number of detected bacteria was reported in July and August(both 121 strains,27.50%).Regional distribution analysis revealed that Aksai County reported the highest number of detected bacteria(255 strains,57.95%).Global spatial autocorrelation analysis showed a spatially clustered distribution of the number of bacteria detected annually in the townships containing natural foci,except in2014,2016,and 2021-2023.The strongest spatial clustering was observed in 2020(Moran's I=0.521 2,Z=14.397 0,P<0.001).Local spatial autocorrelation analysis indicated a"high-high"aggregation area in the natural foci every year from 2014 to 2023,primarily in Hongliuwan Town of Aksai County and Dangchengwan Town of Subei County.The distribution of the"low-low"aggregation area was essentially consistent with the low activity area of the Yersinia pestisepidemic.The trend in annual total bacterial count gradually increased from east to west,and peaked in the western part of the epidemic focus.Clear spatial aggregation characteristics of the number of Y.pestis were detected in the marmot natural foci in the Qilian-Altun mountains at the townshiplevel as a whole in Gansu Province from 2014 to 2023.The aggregation area was mainly in the western section of Qilian Mountain to the Altun mountain section of the epidemic source area.Monitoring and prevention and control efforts should be focused in this key area,with prevention and control measures tailored to the local conditions,and classified guidance to decrease the risk of plague occurrence and spread.

This study was aimed at determining the molecular characteristics of Yersinia pestis in the natural plague foci around Qinghai Lake through single nucleotide polymorphism technology,to lay a foundation for molecular epidemiological and source-tracing analysis of Y.pestis in this area.Using the whole genome sequencing technology,we obtained the whole genome sequences of 84 representative Y.pestis strains.Using the sequences of Y.pestis and Yersinia pseudotuberculosis IP32953 from the NCBI database as references,we compared and analyzed the 2 298 SNP loci of these strains.From 1957 to 2020,84 representative strains of Y.pestis from the natural plague foci around Qinghai Lake were divided into two clades:1.IN2 and 3.ANT1.The 1.IN2 clade was the characteristic population of Y.pestis throughout all epidemic years in this area.Additionally,analysis of the SNP distribution and hosts in the region indicated that the 1.IN2 clade was located in five counties except Wulan,whereas the 3.ANT1 clade was isolated from Himalayan marmot and dog in two counties.In conclusion,the population structure of SNP of Y.pestis in the natural plague foci around Qinghai Lake is relatively simple,and SNP analysis of Y.pestis provided a scientific basis for tracing plague epidemic sources and formulating plague prevention and control measures in this area.

Objective To explore the value of nomogram model based on MR T1WI enhanced radiomics features and clinical fac-tors in predicting the prognosis of gliomas.Methods A retrospective selection was conducted on 135 patients with postoperative pathologically confirmed gliomas,who were categorized into poor prognosis group(n=59)and good prognosis group(n=76)according to survival condition at 20 months postoperatively.All patients were randomly divided into training group(n=94)and validation group(n=41)in a 7︰3 ratio.Radiomics features were extracted by 3D Slicer software,and the extracted radiomics features were downscaled by intraclass correlation coefficient(ICC),t-test,least absolute shrinkage and selection operator(LASSO)regression,and a total of 1 058 features were extracted for each patient,and 10 optimal radiomics features were obtained,to finally get the Radiomics score(Radscore).After combining clinical features and Radscore,a nomogram model was constructed.Results In the training group,Radscore was significantly higher in the poor prognosis group than that in the good prognosis group(t=8.773,P<0.05).The area under the curve(AUC)of receiver operating characteristic(ROC)curve of the training and validation groups of the radiomics model were 0.751[95%confidence interval(CI)0.654-0.849]and 0.606(95%CI 0.426-0.787),respectively.The AUC of the nomogram model were 0.899(95%CI 0.839-0.960)and 0.908(95%CI 0.823-0.994)in the training and validation groups,respectively,with much better predictive efficacy of the nomogram model.Conclusion A nomogram model based on MR T1WI enhanced radiomics features and clinical factors has good predictive efficacy in the prognosis of gliomas after surgery.

Hospital pharmacy research is significant in enhancing the level of rational drug use,improving the quality of pharmacy services,and promoting the improvement of drug treatment effects.To guarantee the standardization of hospital pharmacy research,the compilation team of"Hospital Pharmacy Research Standards"adheres to the principles of scientificity,universality,guidance,and operability,combs through the key management contents from three aspects,namely,relevant national policy docu-ments,relevant domestic and international standards and norms,and literature analysis,combines with the actual working condition of hospital pharmacy research,and formulates the standards after several rounds of opinion collection and expert argumentation.This paper analyzes the key contents of the standard,including basic requirements,research process management,and research re-sults management,to provide guidance and reference for hospital pharmacy researchers to understand the standard in-depth and further improve the standardization of hospital pharmacy research.

Objective To develop a fused model based on combined intratumor-peritumor radiomics features and clinical risk factors to accurately predict the efficacy of radiotherapy for hepatocellular carcinoma(HCC).Methods A retrospective study was conducted on 124 HCC patients(95 males and 29 females)undergoing IMRT at the radiotherapy center of some hospital,who were divided into a training set and a validation set in a 7∶3 ratio.According to relevant standards for evaluating solid tumor treatment efficacy the patients at the progressive disease phase were enrolled into a non-response group,and the ones at the phases of complete response,partial response and stable disease were included into a response group.Firstly,radiomics features were extracted from pre-radiotherapy contrast-enhanced CT images,and were screened with the least absolute shrinkage and selection operator(LASSO)regression to obtain valuable radiomics features;secondly,the scores of intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features underwent binary Logistic regression(LR)analysis by using the glmnet package in R software(version 4.2.0),so as to construct three models for intratumor radiomics features,peritumor radiomics features and combined intratumor-peritumor radiomics features;finally,a fused model was established based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors,and the corresponding Nomogram,calibration curve and clinical decision curve were plotted.R software(version 4.4.1)was used for image analysis and statistical analysis.Results The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors achieved an AUC of 0.87 on both the training and validation sets,outperforming the models based solely on intratumor radiomics features,peritumor radiomics features or combined intratumor-peritumor radiomics features.The Nomogram plot showed the prediction probability of the fused model for the short-term treatment response rate was 10%-90%within the total score range of 42-93 points,and the calibration and clinical decision curves indicated that the fused model gained advantages in prediction and clinical application.Conclusion The fused model based on the scores of combined intratumor-peritumor radiomics features and clinical risk factors predicts the short-term efficacy of HCC radiotherapy effectively,providing references for formulating radiotherapy plans and guiding subsequent treatment decisions.

Malignant tumors (commonly referred to as cancer) represent a major global public health challenge and contribute significantly to the worldwide disease burden. Early screening plays a critical role in improving detection rates, enabling timely intervention, and enhancing patient survival rates. However, current cancer screening guidelines primarily focus on site-specific screening, which may not fully address the need for comprehensive early detection. A scientifically rational, multi-cancer screening approach offers several advantages: it optimizes the use of biological samples, reduces time costs for participants, enhances the efficiency and comprehensiveness of screening, and minimizes overall expenses. Such an approach also facilitates the rational allocation of healthcare resources, ultimately helping to reduce the societal burden of cancer. To address this need, the Cancer Epidemiology Committee of the Chinese Anti-Cancer Association has developed the Expert Consensus on Combined Screening for Common Cancers in China. This consensus integrates multidisciplinary expertise and synthesizes the latest domestic and international researches on cancer screening, early detection, and treatment for prevalent malignancies. Drawing upon China's unique demographic and healthcare context, as well as practical screening experiences, the consensus provides evidence-based recommendations on target populations, screening technologies, and procedural workflows for multi-cancer screening. These guidelines align with the principles and methodologies established by the World Health Organization (WHO), aiming to enhance the effectiveness of combined cancer screening in China, improve early detection rates, and provide a scientific foundation for national cancer prevention and control strategies.

In view of the characteristics of H5N6 subtype avian influenza virus(AIV)that it has both high pathogenicity and the risk of cross-species transmission,posing a serious threat to the poultry farming industry and public health security,in order to effectively prevent and control the spread of H5N6 avian influenza,a rapid,sensitive and specific detection technolo-gy was established in this study.The specific monoclonal antibodies against the neuraminidase N6 protein of avian influenza A virus subtype H5N6 were obtained through hybridoma and monoclonal antibody technology.These antibodies were coupled and labeled with carboxyl-functionalized fluorescent quantum dots,along with previously prepared specific antibodies against the hemagglutinin H5 protein.A rapid fluorescence immunochromatographic detection method for the H5N6 subtype of avian influ-enza virus was established according to the principle of double-antibody sandwich immunochromatography.This method a-chieved a detection sensitivity of 1 ng/mL for recombinant hemagglutinin H5 subtype protein and 0.1 ng/mL for recombinant neuraminidase N6 subtype protein.Moreover,the method exhibited no cross-reactivity with other influenza subtypes or patho-gens,such as Newcastle disease(ND),infectious bronchitis(IB),and infectious laryngotracheitis(ILT),thus demonstrating good specificity.The method effectively identified the highly pathogenic avian influenza virus H5 subtype and directly distin-guished the H5N6 subtype with good accuracy.The fluorescent quantum dot immunochromatographic typing detection method established herein met the sensitivity,specificity,and accuracy requirements for H5N6 subtype detection,and can be further used for rapid detection of the H5 and H5N6 subtypes of avian influenza virus.

Aim To investigate the effects of dimethyl-arginine dimethylamino hydrolase 1(DDAH1)on high glucose-induced mitochondrial dysfunction and mitoph-agy in vascular endothelial cells.Methods JC-1 stai-ning was used to detect mitochondrial membrane poten-tial.DCFH-DA fluorescent probe was employed to measure reactive oxygen species(ROS)levels.Ho-echst staining was used to assess cell apoptosis.Real-time PCR was conducted to detect DDAH1 mRNA lev-els.Western blot was performed to analyze the expres-sion of DDAH1,LC3-Ⅰ and LC3-Ⅱ proteins.Mitochon-drial probe Mitotracker and autophagosome marker pro-tein LC3 were used in cell immunofluorescence co-lo-calization to assess mitochondrial autophagy,and high-performance liquid chromatography was utilized to measure the levels of asymmetric dimethylarginine(ADMA)in cell supernatant.Results High glucose treatment for 48 h significantly reduced mitochondrial membrane potential,increased ROS production,and promoted apoptosis in human umbilical vein endothelial cells(HUVECs).High glucose downregulated the ex-pression of LC3-Ⅱ/LC3-Ⅰ proteins,reduced the co-lo-calization of Mitotracker and LC3,and inhibited mito-chondrial autophagy.Autophagy inhibitors 3-MA or CQ exacerbated high glucose-induced mitochondrial dam-age and apoptosis in HUVECs,while autophagy activa-tor RAPA alleviated these effects.High glucose signifi-cantly downregulated DDAH1 protein expression in HUVECs and increased ADMA levels in cell superna-tant.DDAH1 siRNA inhibited mitochondrial autoph-agy,reduced mitochondrial membrane potential,and promoted apoptosis,whereas DDAH1 overexpression enhanced mitochondrial autophagy and alleviated high glucose-induced apoptosis in HUVECs.Conclusion High glucose-induced endothelial mitochondrial dys-function is associated with the suppression of DDAH1 expression,the increase of ADMA levels,and thereduc-tion of mitochondrial autophagy.