3D printing technology customized medical devices can accurately adapt to the complex anatomical structure of the human body, and have become a new meaning to promote the development of precision medicine. In order to ensure the safety and effectiveness of the clinical use of 3D printed customized medical devices and standardize the management process of such products, a tertiary hospital had started the file-record management of 3D printed customized medical devices since March 2021, covering access approval management, production verification, surgical process management and postoperative traceability management. This practice had achieved standardized management of 3D printed customized medical devices and achieved good results. The 3D printed bone fixation fusion used by the hospital was officially approved as a medical device product registration certificate in March 2023; 109 orthopedic patients recorded the use of 3D printed custom medical devices in 2023, with a significant increase compared to 54 patients in 2022. This practice could provide references for other hospitals to carry out standardized management of the use of customized medical devices. In the future, hospital should further balance regulation and innovation, promote multi-party collaboration, strengthen data integration, ensure data security, and enhance the level of refined management of medical devices.

Objective:To evaluate the accuracy and feasibility of an automated scanning and uptake system to assist pathologists with hu-man epidermal growth factor receptor 2(HER2)FISH interpretation.Methods:HER2 gene amplification is detected using FISH,and"result interpretation by independent pathologists"is regarded as the"gold standard."The consistency of"human-machine dialogue results"(use of a CytoVision* system combined with manual interpretation)and"CytoVision*-based automated interpretation"with the"gold standard"was assessed.Results:Consistency between"human-machine dialogue results"and the"gold standard"can surpass 91%,with the former method saving up to 50%of the manual operation time.The tendency of each cell nucleus's HER2 copy number to be"underestimated"is the main reason for the low sensitivity observed in cases with low copy number amplification and HER2 heterogeneous expression cases in"human-machine dialogue interpretation."Conclusions:Automatic FISH image analysis and uptake systems simulate the process of manu-ally interpreted cell selection,ensure random cell selection,and improve work efficiency.With its accurate selection of the hybridization re-gion and"human-computer dialogue,"the system is expected to"replace"interpretation by independent pathologists.

OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

Digital polymerase chain reaction(dPCR)enables absolute quantitative detection of nucleic acid samples.Since the quantitative upper and lower limits of detectable samples mainly depend on the volume and number of single droplets,the abundance of the sample to be tested,the volume of single droplets,and the number of droplets need to be adapted.For samples with unknown abundance,repeated adjustment of droplet size is not allowed.In this study,a one-step double-volume droplet generation method was proposed,and a double-volume droplet microfluidic chip was developed to verify the quantitative detection capability of the chip using a duck-derived kit.The results showed that the droplets with different volumes had different quantitative capabilities.Large-volume droplets had higher reliability for low-abundance sample concentrations,while small-volume droplets had advantages in detecting high-abundance sample concentrations.The double-volume droplets produced by the double-volume droplet microfluidic chip proposed in this study greatly improved the reliability of quantitative capabilities,and had broad application prospects in detection of precious nucleic acid samples with unknown abundance in the field of microfluidic PCR.

A centrifugation-free,single-reaction colorimetric method for detection of glucose,utilizing a dual nanozyme cascade system based on gold nanoparticles(AuNPs)and iron-doped carbon dots(FeCDs),was developed in this work.The AuNPs exhibited glucose oxidase-like activity to catalyze glucose oxidation for generation of H2O2,while the FeCDs demonstrated peroxidase-like activity to subsequently catalyze the H2O2-mediated oxidation of 3,3',5,5'-tetramethylbenzidine(TMB).To prevent interference from the blue signal generated by self-aggregation of AuNPs in subsequent quantitative detection,the reaction system was terminated with HCl,converting oxTMB into a stable yellow product.Based on changes in the absorbance at 450 nm of this yellow solution,a quantitative relationship was established between glucose concentration and absorbance at 450 nm(A450).Experimental results demonstrated that this sensor achieved a linear detection range of 44 μmol/L to 11.11 mmol/L(R2=0.993)with a detection limit of 30.68 μmol/L and spiked recoveries of 97.9%-104.7%.By integrating smartphone-based color recognition capabilities,a rapid visual detection platform was established for quantification of glucose through RGB analysis.The validation experimental results using commercial glucose injection samples further confirmed the practical application potential of this methodology.

Objective To investigate the effects of exposure to various concentrations of cigar smoke on gut microbiota in mice.Methods A total of 40 C57BL/6 mice were randomly divided into the control group,the low-dose cigar exposure group,the medium-dose group and the high-dose group,with 10 mice in each group.After 4 weeks of feeding,fecal samples were collected for gene sequencing of 16S ribosomal RNA and analysis of differences in gut microbiota.Results Compared to the control group,gut microbiota richness was signifi-cantly reduced in the cigar-exposed groups(P<0.05).Compared with thecontrol group,the Shannon index of mice in the high-dose group was significantly increased(P<0.05).In multi-group comparisons,ten bacterial genera with high abundance-such as Akkermansia,Allobaculum,and Alloprevotella-were identified.Pairwise comparison results indicated that compared to the control group,abundances of Akkermansia,Candidatus_Sac-charimonas,and Lactobacillus decreased while those of Allobaculum,Alloprevotella,Muribaculaceae,and Pre-votellaceae_UCG001 increased(P<0.05).Alistipes and Faecalibaculum showed significant increases in low-dose and medium-dose groups respectively,Blautia and Lachnospiraceae_NK4A136 group exhibited notable in-creases in the high-dose group(P<0.05).Linear discriminant analysis effect size revealed that six phyla and forty-four species displayed significant differences across all groups at both phylum and species levels,distinct dose-specific were observed among different cigar exposure groups.Conclusion Cigar smoke exposure and different exposure concentrations can both cause changes in the gut microbiota.The effects of different con-centrations of cigars on the gut microbiota of mice are specific.

Aim To perform high-throughput screen-ing of immunomodulatory traditional Chinese medicine(TCMs)based on an in vitro B cell differentiation-antibody secretion model,identifying active herbal candidates with immune-enhancing properties to pro-vide novel therapeutic options and theoretical support for influenza virus treatment in immunocompromised in-dividuals.Methods B cells were stimulated with dif-ferent concentrations of cytosine-phosphate-guanine oli-godeoxynucleotide 2006(CpG)and nterleukin-2(IL-2)to promote proliferation,differentiation,and anti-body secretion,and the effects of varying concentra-tions of the solvent DMSO were also evaluated.The op-timal conditions for the B cell differentiation-anti-body secretion model were determined based on the se-cretion levels of three antibody isotypes.The feasibility of the model was further validated using rapamycin,a known B cell function inhibitor.On this basis,a high-throughput screening platform for immunomodulatory a-gents was optimized and established.Subsequently,the immune-enhancing activity of 465 polarity extract from TCMs was evaluated.Results The optimal con-ditions for the model were determined as 2 mg·L-1 CpG,1.67 × 106 nkat·L-1 IL-2,and DMSO with a volume fraction of 0.1％.Rapamycin effectively inhib-ited B cell differentiation into plasmablast and signifi-cantly reduced antibody production,indicating the reli-ability of the model.Multiple rounds of screening re-vealed that the dichloromethane extract of licorice,the dichloromethane extract of Vinegar-processed Curcumae Rhizoma,the cyclohexane extract of Honey-prepared Radix Asteris,and the aqueous extract of Siphonostegia chinensis Benth were identified to significantly promote both B cell proliferation and differentiation and anti-body secretion at a concentration of 600 μg·L-1.Conclusion This study successfully optimizes an in vitro B cell differentiation-antibody secretion model and identifies several TCM extracts,including licorice,with potential immune-enhancing activity.

Objective To investigate the correlation between enlarged perivascular spaces(EPVS)in different regions and glymphatic system(GS)function with cognitive function in patients with recent subcortical small infarction(RSSI).Methods A retrospective study was conducted by consecutively enrolling patients with RSSI who were hospitalized in the Department of Neurology at the Third Affiliated Hospital of Nanjing Medical University(Changzhou Second People's Hospital)from December 2023 to December 2024.Baseline and clinical data were collected,including age,sex,body mass index(BMI),history of smoking and alcohol consumption,hypertension,diabetes mellitus,atrial fibrillation,coronary heart disease,and laboratory indicators(including homocysteine,total cholesterol,triglycerides,low-density lipoprotein cholesterol,high-density lipoprotein cholesterol,glycated hemoglobin,uric acid,and creatinine).Cognitive function was assessed within 7 d of onset using the mini-mental state examination(MMSE)and Montreal cognitive assessment(MoCA)scale,which covers seven cognitive domains:visuospatial and executive functioning,naming,attention,language,abstraction,memory,and orientation.All patients underwent brain MRI within 3 d of admission,including diffusion tensor imaging(DTI)sequences.The DTI along the perivascular space(DTI-ALPS)post-processing tool was used to calculate the DTI-ALPS index on both sides,and the mean value was taken as an indicator to evaluate overall GS function.The volumes of EPVS in the basal ganglia(BG)and centrum semiovale(CSO)were measured.EPVS severity was visually rated based on Potter's method(on a scale range from 0 to 4)and categorized into a none-to-mild(grades 0-1)and a moderate-to-severe(grades 2-4)group.Patients were further classified by region into a BG-EPVS and a CSO-EPVS subgroups under each severity group.(1)Univariate analyses were performed to compare baseline characteristics,DTI-ALPS index,and cognitive assessment scores between groups.Variables with P＜0.05 in univariate analyses were tested for multicollinearity using variance inflation factor.Variables without multicollinearity were included in multivariate Logistic regression to identify independent factors associated with BG-EPVS.To assess the robustness of the predictive value of the DTI-ALPS index,outlier diagnostics and exclusion were performed,followed by re-estimation of the Logistic regression model.Spearman's correlation analysis was used to examine the associations of BG-EPVS volume with the DTI-ALPS index,MMSE scale score,MoCA scale score,and each cognitive domain score.Mediation analysis was conducted to evaluate whether the DTI-ALPS index mediated the relationship between BG-EPVS volume and MoCA scale score.Results A total of 65 RSSI patients were included in the study,comprising 34 males and 3 1 females,aged 37 to 78 years,with a mean age of(53±15)years.Among them,30 patients were classified into the none-to-mild EPVS group and 35 into the moderate-to-severe EPVS group.For regional classification,34 were in the none-to-mild BG-EPVS group and 31 in the moderate-to-severe BG-EPVS group;36 were in the none-to-mild CSO-EPVS group and 29 in the moderate-to-severe CSO-EPVS group.(1)Univariate analysis showed,in both overall EPVS and BG-EPVS subgroup,the none-to-mild groups had lower age,lower proportions of male and hypertensive patients,and higher DTI-ALPS indices,MMSE scale scores,and MoCA scale scores than the moderate-to-severe groups(all P＜0.05).No significant differences were found in other baseline or clinical characteristics(all P＞0.05).In the CSO-EPVS subgroup,age was the only variable differed significantly between the none-to-mild group(significantly younger)and the moderate-to-severe group(P＜0.05),no other variables showed significant differences between the groups(all P＞0.05).(2)No multicollinearity was found among age,sex,hypertension,and the DTI-ALPS index through the multicollinearity analysis.Multivariate Logistic regression identified older age(OR,4.410,95％CI 1.211-16.025,P=0.024),male(OR,1.076,95％CI 1.001-1.156,P=0.048),and hypertension(OR,6.287,95％CI 1.635-24.167,P=0.007)as independent risk factors for moderate-to-severe BG-EPVS in RSSI patients,while a higher DTI-ALPS index was an independent protective factor(OR,0.002,95％CI 0.000-0.904,P=0.046).To assess the robustness of this model,six outlier cases were identified and excluded.After reanalysis,the negative association between the DTI-ALPS index and BG-EPVS risk remained significant(OR,0.050,95％CI 0.003-0.974,P=0.048).(3)Spearman correlation analysis revealed that the BG-EPVS volume in RSSI patients was negatively correlated with the DTI-ALPS index(rs=-0.842,P=0.007),MMSE scale score(rs=-0.491,P=0.033),MoCA scale score(rs=-0.563,P=0.018),and visuospatial/executive function score(rs=-0.596,P=0.001).No significant correlations were found between BG-EPVS volume and other cognitive domains,including naming,attention,language,abstraction,memory,and orientation(all P＞0.05).(4)Mediation analysis showed that the total effect size of BG-EPVS volume on MoCA scale score was-0.673,with a direct effect size of-0.537(account for 79.79％of the total effect size)and an indirect effect size via the DTI-ALPS index of-0.136(account for 20.21％).Conclusions In RSSI patients,age,sex,hypertension,and the DTI-ALPS index were identified as independent factors associated with the severity of BG-EPVS.BG-EPVS volume was negatively correlated with the DTI-ALPS index and cognitive function scores in RSSI patients.Moreover,the DTI-ALPS index mediated the relationship between BG-EPVS volume and cognitive function in RSSI patients.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.