Objective: To analyze the phylogenetic characteristics of VP1 gene of Coxsackievirus A10 (CVA10) isolates from 2004 to 2023, and to understand the genetic evolution and epidemic trends of CVA10, so as to provide references for the prevention and control of hand, foot, and mouth disease. Methods: The full-length sequences of the VP1 region of CVA10 isolates were retrieved from the BV-BRC database before December 15, 2024. Gene typing, sequence analysis, evolutionary analysis, and amino acid mutation site analysis were conducted using bioinformatics software. Results: A total of 1 253 CVA10 isolates VP1 region nucleotide full-length sequences from 2004 to 2023 were included, with 9 strains from 2004 to 2008, 338 strains from 2009 to 2012, and 906 strains from 2013 to 2023. China had the highest number of CVA10 isolates, with 1 143 strains accounting for 91.22%, and the predominant genotype was C3. Compared to the prototype strain, the nucleotide sequence homology of the VP1 region of CVA10 isolates ranged from 74.94% to 77.63%, while the amino acid sequence homology ranged from 88.59% to 93.62%. The third codon position preferred cytosine and thymine. The top three most abundant amino acids were threonine, alanine, and valine. The average relative synonymous codon usage of 30 amino acid codon groups was greater than 1. The average amino acid substitution entropy value was 0.04, with four amino acid mutation-prone sites identified, and the mutation-prone rate was 1.35%. Conclusions From 2004 to 2023, the majority of CVA10 isolates were primarily sourced from China, with genotype C3 being the predominant circulating strain in China. The nucleotide homology between the CVA10 isolates and the prototype strain was relatively low, and mutation-prone sites were identified, indicating that enhanced monitoring of viral variation is necessary.

Objective:To analyze the molecular evolutional characteristics of the hemagglutinin and neuraminidase genes of influenza A (H3N2) viruses isolated in Yancheng from 2022 to 2024.Methods:The throat swab specimens of influenza-like illness ( ILI) from sentinel surveillance hospital and outbreak sites were detected using the method of real time Rt-qPCR. The influenza A(H3N2) viruses were isolated using MDCK cells culture method from April 2022 to Marh 2024. The strains isolated from 2022 to 2024 were selected randomly and their sequences of the HA1 and NA genes were amplified through one step RT-PCR method and the PCR products were sequenced.The nucleotide and amino acid site variations and evolutionary characteristics of the genes were analyzed using relevant bioinformatics software. The mutations of genes and nucleic acid locus were analyzed and the evolutional trees were generated using bioinformatics software.Results:A total of 5 020 samples were collected between April 2022 and March 2024, the positive detection rate of influenza virus nucleic acid was 18.59%(933/5 020).The winter and spring influenza peaks were obvious in the two monitoring seasons from April 2022 to March 2024. Among them, the summer influenza peak was obvious in the monitoring season from April 2022 to March 2023, and the H3N2 subtype influenza virus was the dominant epidemic strain in the two monitoring seasons. Genetic evolution tree displayed: the clustering relationships of the respective branches of HA1 and NA genes of 32 strains isolated in Yancheng were basically the same.The HA1 and NA genes of 24 strains isolated from 2023-2024 in Yancheng and the 2022-2024 Northern Hemisphere vaccine strain A/Darwin/9/2021 (H3N2) were located in the 3C.2a1b2a.2a.3a.1 evolutionary lineage, while the 8 strains isolated in the 2022 in Yancheng and the 2021-2022 Northern Hemisphere vaccine strain A/Cambodia/e0826360/2020 (H3N2) were located in the 3C.2a1b.2a.1a evolutionary lineage.The 6 strains (A/JSTH/11735/2023, A/JSTH/11788/2023, A/JSTH/11974/2023, A/JSYD/353/2023, A/JSYD/354/2023, A/JSTH/138/2023) all exhibited variations in the F79L, N122D, P239S, and K276E amino acid sites, which were present in both sporadic and outbreak strains. Because the strains of the antigen epitopes, receptor binding sites and glycosylation sites in the HA1 genes had a certain degree of variations in Yancheng in the 2022-2024 year, the immunogenicity matching between the 24 strains isolated in the 2023-2024 and the Northern Hemisphere vaccine strain A/Darwin/9/2021 was good, while the immunogenicity matching between the 8 strains isolated in the 2022 and the Northern Hemisphere vaccine strain A/Cambodia/e0826360/2022 was good; 32 strains isolated from 2022 to 2024 had no mutations in catalytic residues and drug resistant sites of NA genes.Conclusion:These result indicated that the HA1 and NA genes of influenza A/H3N2 viruses circulated in Yancheng city from 2022 to 2024 are changed gradually.The accumulation of these mutations would result in antigenic drift of influenza A(H3N2) viruses and increase the mismatching of the recommended vaccine strain.Compared with the vaccine strain A/Darwin/9/2021(H3N2), the strains isolated in the 2022 had substantially result in antigenic drift on the whole.The influenza A(H3N2) viruses surveillance should be strengthened to find the new mutant of virus in time.

Objective To monitor the antifungal resistance of clinical isolates of Candida spp.in the East China region.Methods MALDI-TOF MS or molecular methods were used to re-identify the strains collected from January 2018 to December 2022.Antifungal susceptibility testing was performed using the broth microdilution method.The susceptibility test results were interpreted according to the breakpoints of 2022 Clinical and Laboratory Standards Institute(CLSI)documents M27 M44s-Ed3 and M57s-Ed4.Results A total of 3 026 strains of Candida were collected,65.33％of which were isolated from sterile body sites,mainly from blood(38.86％)and pleural effusion/ascites(10.21％).The predominant species of Candida were Candida albicans(44.51％),followed by Candida parapsilosis complex(19.46％),Candida tropicalis(13.98％),Candida glabrata(10.34％),and other Candida species(0.79％).Candida albicans showed overall high susceptibility rates to the 10 antifungal drugs tested(the lowest rate being 93.62％).Only 2.97％of the strains showed dose-dependent susceptibility(SDD)to fluconazole.Candida parapsilosis complex had a SDD rate of 2.61％and a resistance rate of 9.42％to fluconazole,and susceptibility rates above 90％to other drugs.Candida glabrata had a SDD rate of 92.01％and a resistance rate of 7.99％to fluconazole,resistance rates of 32.27％and 48.24％to posaconazole and voriconazole non-wild-type strains(NWT),respectively,and susceptibility rates above 90％to other drugs.Candida tropicalis had resistance rates of 29.55％and 26.24％to fluconazole and voriconazole,respectively,resistance rates of 76.60％and 21.99％to posaconazole and echinocandins non-wild-type strains(NWT),and a resistance rate of 2.36％to echinocandins.Conclusions The prevalence and species distribution of Candida spp.in the East China region are consistent with previous domestic and international reports.Candida glabrata exhibits certain degree of resistance to fluconazole,while Candida tropicalis demonstrates higher resistance to triazole drugs.Additionally,echinocandins resistance has emerged in Candida albicans,Candida glabrata,Candida tropicalis,and Candida parapsilosis.

Objective:To investigate the efficacy and safety of a wearable percutaneous tibial nerve stimulator (TTNS) for tibial neuromodulation (TNM) in the treatment of overactive bladder (OAB).Methods:This research utilizes a single-center, prospective, open clinical trial design. Patients with OAB who were treated at the urology outpatient department of Beijing Bo’ai Hospital from July 2023 to June 2024 were enrolled. All patients met the diagnostic criteria for OAB. All patients received a transcutaneous tibial nerve regulation stimulation therapy, with a frequency of 20 Hz and a pulse width of 0.2 ms. The treatment lasted for 30 minutes each session, twice daily, for a duration of 12 weeks. Follow up evaluations were conducted at weeks 4, 8, and 12 after treatment, including a 72-hour voiding diary, Overactive Bladder Symptom Score (OABSS), patient perception of bladder condition scale (PPBC-S) score, American Urological Association Symptom Index (AUA-SI) score, American Urological Association Symptom Index Quality of Life Score (AUA-SI-QOL) score, vital signs, and adverse events.Results:This study included 68 patients, with 28 males and 40 females. Their mean age was (49.6±9.0) years old, the body mass index was(23.2 ± 2.5) kg/m 2. The duration of the disease was(42.0±14.4)months. After 12 weeks of intervention, patient's daily urination frequency decreased from (18.5 ± 3.9) times to (10.3 ± 4.5) times, nocturia frequency decreased from (6.5±2.2) times to (3.9±2.0) times, daily urine leakage decreased from (796.5±140.0) ml to (534.8±135.8)ml, OABSS decreased from (12.6±2.8) to (9.8±3.8), PPBC-S decreased from (5.5±0.6) to (3.8±1.2), AUA-SI decreased from (25.5±2.2) to (16.6±3.6), and AUA-SI-QOL decreased from (5.5±0.5) to (3.7±1.1). The differences in the above indicators before and after treatment were statistically significant ( P<0.05). During the treatment process, there were no serious adverse events related to the equipment, and no neurological related adverse events such as numbness or tingling occurred. Conclusions:The application of wearable percutaneous tibial nerve stimulators in TNM can effectively alleviate OAB symptoms like frequent urination and urgency, with minimal adverse reactions, offering a new treatment option for OAB patients.

Taking Wuzhou as an example,this paper investigates the construction of the standardized Party affairs system in public hospitals and the path for enhancing Party building quality.It clarifies the connotations and relationships of Party build-ing,Party affairs,and Party affairs standardization,and elaborates on the necessity and path of Party affairs standardization.Sub-sequently,an analysis of the current situation and existing problems,such as insufficient understanding,weak implementation,limited capabilities,and poor integration,is presented.Then,improvement measures,including Party committee guidance,pre-cise training,system construction,and practical promotion of relevant work,are proposed.Finally,the paper discusses the con-struction and improvement of the standardized Party affairs system,team building,and the deep integration of Party building and hospital operations,providing a reference for improving Party building quality in public hospitals.

Due to traditional professional divisions, the practice of endoscopy by gastro-intestinal surgeons in China remains controversial. However, with the evolution of treatment philo-sophies, medical technology, and equipment advancements, a trend of integration between tradi-tional surgery and endoscopy is emerging. Gastrointestinal surgeons performing endoscopy can maxi-mize patient benefits, and they naturally possess advantages in conducting endoscopic procedures. It is recommended to further establish entry thresholds for surgeons to perform endoscopy, provide standardized endoscopic training for surgeons, and coordinate efforts at the administrative depart-ment. With the support of artificial intelligence, more patients can receive minimally invasive, indivi-dualized, and precise treatments.

Background and purpose:Breast cancer is a major global public health problem.Bone is the most common site of distant metastasis of breast cancer,accounting for about 70%of all metastatic cases.Bone metastasis of breast cancer can cause a series of complications,including severe pain,pathological fracture,hypercalcemia,spinal cord compression,etc.,which bring great inconvenience to patients'physical activities and affect their quality of life.Metastatic recurrence is the leading cause of death in breast cancer patients.Therefore,there is an urgent need to build a diagnostic model of bone metastasis in breast cancer to identify patients with a high risk of bone metastasis.The aim of this study was to develop a predictive model based on machine learning to predict the probability of breast cancer developing bone metastasis.Methods:Data of breast cancer patients diagnosed between 2010 and 2015 were extracted from The Surveillance,Epidemiology,and End Results(SEER)database.The variables were screened by least absolute shrinkage and selection operator(LASSO)regression,univariate and multivariate logistic regression analysis,and statistically significant risk factors were included to build a prediction model.In this study,nine machine learning algorithms,including decision tree,elastic network,K-nearest neighbor,lightweight gradient elevator,logistic regression,neural network,random forest,support vector machine and limit gradient lifting,were used to adjust the model hyperparameters through random search and 5x cross-validation to build a breast cancer bone metastasis prediction model.The area under the receiver operating characteristic(ROC)curve,calibration curve and decision curve were used to evaluate the model,the optimal model was obtained,and the importance of variables was analyzed based on the optimal model.Finally,a network calculator for predicting the risk of bone metastasis of breast cancer was established using the optimal model.Results:The study included 10 106 patients with breast cancer,7 073 patients in the training set,and 3 033 patients in the validation set.We found that 4 494(63.5%)patients in the training set and 1 927(63.5%)patients in the validation set developed bone metastases,respectively.Race,pathologic grade,estrogen receptor(ER)status,progesterone receptor(PR)status,human epidermal growth factor receptor 2(HER2)status,N stage,lung metastasis,radiotherapy,chemotherapy and surgery were independent predictors of bone metastasis.The training set and verification set were used to verify the model,and the limit gradient lifting algorithm was superior to other machine learning algorithms by integrating the evaluation indexes such as the area under the ROC curve,calibration curve and decision curve.Finally,we used limit gradient algorithm to build network calculator for prediction of breast cancer bone metastases(https://bcbm.shinyapps.io/DynNomapp/).Conclusion:This study developed a predictive model based on machine learning to predict the probability of bone metastases in breast cancer patients,hoping to help clinicians make more rational treatment decisions.

Pulmonary infection by pathogenic microorganisms is a common disease of the respiratory system with high mortality and poor prognosis,but its pathogenesis remains unclear.In recent years,single-cell RNA sequencing(scRNA-seq)has been widely used in the study of lung infection to provide an atlas of immune cells of patients,identify new immune cell subsets,analyze differential expression genes,reveal pathways related to inflammatory immune pathways in pathogenic microbial infection,monitor the levels of cytokines,and identify novel biomarkers of lung infection.There-fore,this paper presents a review of the application of scRNA-seq in pulmonary infection by pathogenic microorganisms.

Objective To investigate the value of polar residual network(PResNet)model for assisting evaluation on rat myocardial infarction(MI)segment in myocardial contrast echocardiography(MCE).Methods Twenty-five male SD rats were randomly divided into MI group(n=15)and sham operation group(n=10).MI models were established in MI group through ligation of the left anterior descending coronary artery using atraumatic suture,while no intervention was given to those in sham operation group after thoracotomy.MCE images of both basal and papillary muscle levels on the short axis section of left ventricles were acquired after 1 week,which were assessed independently by 2 junior and 2 senior ultrasound physicians.The evaluating efficacy of MI segment,the mean interpretation time and the consistency were compared whether under the assistance of PResNet model or not.Results No significant difference of efficacy of evaluation on MI segment was found for senior physicians with or without assistance of PResNet model(both P＞0.05).Under the assistance of PResNet model,the efficacy of junior physicians for diagnosing MI segment was significantly improved compared with that without the assistance of PResNet model(both P＜0.01),and was comparable to that of senior physicians.Under the assistance of PResNet model,the mean interpretation time of each physician was significantly shorter than that without assistance(all P＜0.001),and the consistency between junior physicians and among junior and senior physicians were both moderate(Kappa=0.692,0.542),which became better under the assistance(Kappa=0.763,0.749).Conclusion PResNet could improve the efficacy of junior physicians for evaluation on rat MI segment in MCE images,shorten interpretation time with different aptitudes,also improve the consistency to some extent.

Objective To observe the correlations of chest CT quantitative parameters in patients with acute exacerbation of chronic obstructive pulmonary disease(AECOPD)with blood eosinophil(EOS)level.Methods Chest CT data of 162 AECOPD patients with elevated eosinophils were retrospectively analyzed.The patients were divided into low EOS group(n=105)and high EOS group(n=57)according to the absolute counting of blood EOS.The quantitative CT parameters,including the number of whole lung bronchi and the volume of blood vessels,low-attenuation area percentage(LAA％)of whole lung,of left/right lung and each lobe of lung,as well as the luminal diameter(LD),wall thickness(WT),wall area(WA)and WA percentage of total bronchial cross-section(WA％)of grade 3 to 8 bronchi were compared between groups.Spearman correlations were performed to analyze the correlations of quantitative CT parameters with blood EOS level.Results LAA％of the whole lung,of the left/right lung and each lobe of lung,as well as of the upper lobe of right lung LDgrade4,middle lobe of right lung WTgrade5,upper lobe of right lung WAgrade4,middle lobe of right lung WAgrade5 and lower lobe of left lung WAgrade3 in low EOS group were all higher than those in high EOS group(all P＜0.05).Except for the upper lobe of right lung LDgrade4,the above quantitative CT indexes being significant different between groups were all weakly and negatively correlated with blood EOS level(r=-0.335 to-0.164,all P＜0.05).Conclusion Chest CT quantitative parameters of AECOPD patients were correlated with blood EOS level,among which LAA％,a part of WT and WA were all weakly negatively correlated with blood EOS level.