Objective To investigate the impact of donor kidney histopathological lesions on the risk of BK virus (BKV) infection and progression after kidney transplantation. Methods A retrospective analysis was conducted on the clinical data of 326 kidney transplant recipients from deceased donors at the Department of Kidney Transplantation, the First Affiliated Hospital of Zhengzhou University, from January 2019 to June 2020. The recipients were divided into two groups based on whether BKV infection occurred after kidney transplantation: the BKV infection group (145 cases) and the non-BKV infection group (181 cases). The correlation between donor kidney histopathological findings from zero-hour biopsy and BKV infection, as well as the impact on the risk and progression of BKV infection, was analyzed. Results The incidence of BKV infection among the 326 kidney transplant recipients was 44.5% (145/326). The clearance rate of BKV after infection was 82.1% (119/145), while 17.9% (26/145) progressed to BKV viremia. Among the 326 qualified kidney biopsy specimens, 32 cases showed mild tubular atrophy, 324 cases had mild acute tubular injury, 27 cases exhibited mild hyaline arteriosclerosis, 10 cases had moderate to severe hyaline arteriosclerosis, 7 cases showed mild interstitial inflammation, 23 cases had mild interstitial fibrosis, 6 cases exhibited mild arterial intimal fibrosis, and 1 case had moderate to severe arterial intimal fibrosis. Multivariate logistic regression analysis revealed that male recipients, donor age and tubular atrophy were independent risk factors for BKV infection (all P<0.05). Tubular atrophy was also an independent risk factor for the progression from BKV uria to BKV viremia (P<0.05). Conclusions Donor kidney histopathological lesions have a certain impact on BKV infection and progression after kidney transplantation. Patients with more severe tubular atrophy in donor kidneys have a higher risk of BKV infection after kidney transplantation and are more likely to progress to BKV viremia.

Objective: To investigate an outbreak of acute gastroenteritis at a vocational and technical school in Shaanxi Province in 2024, ao as to provide the reference for the handling of school outbreaks. Methods: The conducted case searches, individual case investigations, and on-site hygienic investigations were established in accordance with the Guidelines on outbreak investigation, prevention and control of Norovirus infection (2015). The potential risk factors were analyzed by case-control study. Anal swab samples from cases and all canteen staff, as well as environmental swab samples were collected to detect common intestinal pathogens. All reserved food samples in canteen were collected to test for common pathogenic bacteria. Results: From October 26 to November 5, 2024, a cumulative total of 53 cases were reported, with an attack rate of 1.47%. The main clinical symptoms included vomiting (83.02%), abdominal pain (56.60%), diarrhea (30.19%), and fever (26.42%). The epidemic curve suggested an intermittent common-source outbreak, with no obvious clustering characteristics in terms of the population and spatial distribution of cases. The case-control analysis revealed that having dinner at the rice-with-dishes-on-top stall on the first floor of the canteen on October 28 was a risk factor for illness (OR=11.025, 95%CI: 2.186-55.601). GⅡ norovirus was detected as positive in anal swab samples from 6 cases and 2 asymptomatic infected canteen staff, as well as in 3 environmental swab samples from the rice-with-dishes-on-top stall. The test results for common pathogenic bacteria in the reserved food samples were all negative. Conclusions This outbreak was caused by an acute gastroenteritis epidemic induced by GⅡ norovirus infection, with a transmission pattern consistent with an intermittent homologous outbreak. The possible source of infection was asymptomatic infected canteen staff mainly through foodborne trasmission, and having meals at the rice-with-dishes-on-top stall was the primary risk factor for this outbreak.

Immunotherapy has become a pivotal modality in clinical cancer treatment. However, its effectiveness is limited to a small subset of patients due to the low antigenicity, impaired innate response, and various adaptive immune resistance mechanisms of the tumor microenvironment (TME). Accumulating evidence reveals the critical roles of metal elements in shaping immunity against tumor progression and metastasis. The marriage of metalloimmunotherapy and nanotechnology further presents new opportunities to optimize the physicochemical and pharmacokinetic properties of metal ions in a precise spatiotemporal control manner. Several metallodrugs have demonstrated encouraging immunotherapeutic potential in preliminary studies and are currently undergoing clinical trials at different stages, yet challenges persist in scaling up production and addressing long-term biosafety concerns. This review delineates how metal materials modulate biological activities across diverse cell types to orchestrate antitumor immunity. Moreover, it summarizes recent progress in smart drug delivery-release systems integrating metal elements, either as cargo or vehicles, to enhance antitumor immune responses. Finally, the review introduces current clinical applications of nanomedicines in metalloimmunotherapy and discusses potential challenges that impede its widespread translation into clinical practice.

Purpose/Significance To explore the attitudes,willingness and influencing factors of Chinese doctors towards medical ar-tificial intelligence(AI).Method/Process A cross-sectional survey is conducted by distributing closed-ended questionnaires via We-Chat to 327 doctors.The questionnaire content includes the doctors'background,their understanding of AI,their level of acceptance,and their willingness to use it.Descriptive statistics,inter-group comparison and logistic regression analysis are used.Result/Conclu-sion Most doctors have a positive attitude towards AI,and there are differences in the willingness to use AI based on factors such as gen-der and level of attention.

Purpose/Significance To expound the development of the application of new generation intelligent technologies in the medi-cal field in China,and to provide ideas for the future development of intelligent medical technologies in China.Method/Process Literature related to the application of medical intelligence technology from 2000 to 2023 is searched and screened on CNKI,and the knowledge graph is drawn by descriptive statistical analysis and CiteSpace software for visualization analysis.Result/Conclusion The number of papers pub-lished in the application research field of domestic medical intelligence technology shows a trend of steady growth and then leveling off.The hot keywords mainly include smart medical care,health care,health management,etc.,forming 8 main cluster sets.Future research should strengthen cooperation and exchanges between researchers and organizations,and pay more attention to the challenges posed by the applica-tion of technology in terms of security and privacy,technology supervision,talent team construction and technological energy consumption.

Hepatitis E virus(HEV)is one of the most common pathogens in acute viral hepatitis.There are at least eight distinct genotypes of HEV.Only humans can contract HEV genotypes 1 and 2,but zoonotic viruses like genotypes 3 and 4 are mostly spread by eating undercooked or in-fected pork in some affluent nations.As a result,boars,both domestic and wild,are typically regar-ded as primary hosts of HEV.Nevertheless,during the past few years,a growing body of research has demonstrated that a number of other wild ruminant animals,such as wild deer and goats,are also susceptible to HEV infection.Determining their participation in the epidemiological cycle of hepatitis E thus requires an understanding of the risk variables that influence the transmission be-tween wild ruminants and humans.With an emphasis on published serological and molecular re-search,this review offers a broad summary of the body of knowledge currently available on the epi-demiology of HEV in wild ruminants.It addresses potential risk factors that could impact the spread of HEV among animals as well as their potential to serve as a source of infectious zoonotic illnesses.It presents an overview of the most recent developments in the epidemiology of HEV in wild ruminants and offers a framework for HEV prevention and management based on science.

Objective To investigate the effect of the long non-coding RNA(lncRNA)SNAI3-AS1 on the malignant biological behavior of prostate cancer(PC)cells by regulating the microRNA(miR)-367-3p/high-mobility group box protein 4(SOX4)axis.Methods Real-time polymerase chain reaction(PCR)was used to detect SNAI3-AS1,miR-367-3p,and SOX4 mRNA expressions in human PCa cell lines DU 145,LNCap,and PC-3,normal prostate epithelial cell line RWPE-1,PC tissue,and adjacent cancer tissues.LNCap in the loga-rithmic growth phase were collected and assigned to the blank,negative control(vector),SNAI3-AS1 overexpression(vector SNAI3-AS1),small interfering RNA negative control(siRNA)(si-NC),si-SNAI3-AS1 group,si-SNAI3-AS1+inhibitor negative control(NC inhibitor),and si-SNAI3-AS1+miR-367-3p inhibitor groups.Clone formation,transwell,and Hoechst33258 staining were used to detect cell clone formation ability,migration,invasion,and apoptosis,respectively.Real-time PCR was used to detect SNAI3-AS1,miR-367-3p,and SOX4 mRNA expressions in LNCap.Western blotting was used to detect SOX4 protein expression in LNCap,and double luciferase was used to verify the targeting relationship between miR-367-3p and SNAI3-AS1 and SOX4.Results SNAI3-AS1 and SOX4 mRNA expressions increased in DU 145,LNCap,PC-3,and PC tissues,whereas miR-367-3p expression significantly decreased(P＜0.05).Compared with the blank and vector groups,the SNAI3-AS1 and SOX4 mRNA and protein expression,clone number,invasion,and migration in the vector SNAI3-AS1 group increased,whereas miR-367-3p expression and apoptosis decreased(P＜0.05).Compared with the blank and si-NC groups,the SNAI3-AS1 and SOX4 mRNA and protein expression,clone number,invasion,and migration in si-SNAI3-AS1 group decreased,whereas miR-367-3p expression and apoptosis increased(P＜0.05).Compared with the si-SNAI3-AS1+NC inhibitor group,the SOX4 mRNA and protein expression,clone number,invasion,and migration in si-SNAI3-AS1+miR-367-3p inhibitor group increased,whereas miR-367-3p expression and apoptosis decreased(P＜0.05);however,SNAI3-AS1 expression had no statistically significant difference(P＞0.05).miR-367-3p had a targets SNAI3-AS1 and SOX4.Conclusion SNAI3-AS1 inhibits the development of malignant behavior in PC cells by upregulating the miR-367-3p/SOX4 axis.

Objective To observe the value of artificial intelligence(AI)knowledge graph and image classification for quality control(QC)of chest posterior-anterior position X-ray radiograph(abbreviated as chest film).Methods Totally 9 236 chest films from 595 medical institutions in Anhui province imaging cloud platform were retrospectively enrolled.QC knowledge graph containing 21 classification labels were constructed.Firstly,QC of chest films based on the above knowledge graph were performed by 10 technicians for 2 rounds of single person and 1 round of multi person,and the results were recorded as A,B and C,respectively.Then AI algorithms were used to classify and evaluate based on knowledge graph,and the result was recorded as D.Finally,a QC expert reviewed results C and D to determine the final QC results and taken those as references to analyze the efficiency of the above 4 QC.Results The area under the curve(AUC)of AI algorithm for QC of chest films were all ≥0.780,with an average value of 0.939.The average precision of QC for chest films of A,B,C and D was 81.15％,85.47％,91.65％and 92.21％,respectively.Conclusion AI knowledge graph and image classification technology could be effectively used for QC of chest posterior-anterior position X-ray radiograph.

Purpose To explore the effect of compressed sensing(CS)technique with different acceleration factors on the quality of cardiac magnetic resonance cine sequences and feasibility of clinical application.Materials and Methods From January to July 2021,40 healthy volunteers were prospectively recruited for cardiac magnetic resonance cine imaging in Hefei First People's Hospital.Four scan protocols of volunteers were designed:SENSE 2 and CS-cine sequences with acceleration factors of 3,4 and 8.The imaging slices include four chamber heart,short axis heart,left ventricular two chamber heart and three chamber heart.Subjective score of image quality,left ventricular cardiac function and 16-segment myocardial thickness of SENSE 2 and CS3,CS4 and CS8 were compared and analyzed.Results Taking SENSE 2 image as the standard score of 5,the scores of CS3 and CS4 were above 3,and the scores of CS8 were below 3.There was no significant difference between the scores of four chamber heart and short axis heart images of CS3 and SENSE 2 sequence(all P>0.05).There were statistically significant differences in the subjective scores of image quality between the left ventricular two chamber heart and three chamber heart groups of each sequence(all P<0.05).There was no statistically significant difference in left ventricular function(left ventricular ejection fraction,left ventricular end systolic volume,left ventricular end diastolic volume,left ventricular stroke volume,left ventricular end-diastolic mass)(F=0.027,0.182,0.057,0.140,0.545)and myocardial thickness(F=0.052-7.366)among the four imaging schemes(all P>0.05).Conclusion Cardiac cine based on compressed sensing technology have good application prospects.With the increase of acceleration factors,the scanning time gradually decreases,and the corresponding image quality will also decrease.When the acceleration factor is 4,that is,the scanning time of the conventional cine sequence is reduced by 50%,the left ventricular function and myocardial thickness can still be accurately measured,and the image quality basically meets the diagnostic requirements.

Purpose Develop deep learning models to assess the clarity of chest X-ray images and validate the model's effectiveness by comparing it with the subjective evaluations of radiologists.Materials and Methods A retrospective collection of 9 135 chest X-ray images from 590 hospitals in Anhui Province,spanning from June 2015 to August 2022,was organized involving multiple radiologists who repeatedly evaluated the clarity of the images using a five-level scoring system.Individual assessments were designated as A and B,whereas the collective result of multiple assessments was designated as C.By constructing a deep learning model based on ResNet-50,image clarity evaluations of chest X-ray images were performed,we used the result C as the training and testing data for the model.The model's evaluation results were denoted as D.A radiology quality control expert conducted an audit assessment of the model's evaluation results and the multi-person assessments of physicians,serving as the reference standard for image clarity.Their assessment results were labeled as E.Statistical analysis,including Spearman's rank correlation coefficient,root mean square error(RMSE)and accuracy was employed to evaluate the effectiveness of the model.Results Compared with the reference standard E,D achieved an average accuracy of 0.85,exceeding the accuracy of C,which stood at 0.84.The ρ values for A,B,C,D and E were 0.58(0.54,0.62),0.59(0.55,0.63),0.74(0.71,0.77)and 0.80(0.78,0.82),respectively.The model exhibited the highest correlation with E.The ρ between A and B was 0.45(0.41,0.49),indicating a lower correlation between two individual subjective assessments of image clarity.The RMSE values for A,B,C,D and E were 0.99,0.94,0.72,and 0.71,respectively.The model's RMSE was lower than that of manual assessments.Conclusion This research model is capable of accurately assessing the clarity of chest X-ray images,and reducing the subjective interference of manual evaluation through deep learning methods,thereby providing an effective and objective evaluation tool for the assessment of clarity in clinical radiographic images.