ObjectiveTo investigate the imaging features of calcium salt deposition and serological markers in patients with alveolar echinococcosis through a retrospective analysis， as well as independent risk factors for the degree of calcium salt deposition in lesions， and to provide a basis for assessing disease process. MethodsA retrospective analysis was performed for the imaging and clinical data of 107 patients with alveolar echinococcosis who were admitted to The First Affiliated Hospital of Shihezi University from December 2023 to June 2025， and according to the volume of calcium salt deposition， they were divided into non-deposition group with 16 patients， mild deposition group with 52 patients， moderate deposition group with 16 patients， and severe deposition group with 23 patients. A one-way analysis of variance or the Kruskal-Wallis H test was used for comparison of continuous data between groups， and the χ² test or Fisher’s exact test was used for comparison of categorical data between groups. The four groups were further combined into the low deposition group （no/mild deposition） and the high deposition group （moderate/severe deposition）. A binary logistic regression analysis was used to investigate the independent influencing factors for calcium salt deposition， and a predictive model was established. The receiver operating characteristic （ROC） curve was used to assess the predictive performance of the model， and the Bootstrap method was used for internal validation. ResultsThere were significant differences between the four groups in sex distribution， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.05）. The univariate analysis showed that there were significant differences between the four groups in sex， involvement of other sites， white blood cell count， lymphocyte percentage， fibrinogen， alanine aminotransferase， albumin， creatinine， uric acid， sodium ion， chloride ion， and calcium ion （all P<0.1）. The multi-collinearity diagnosis showed that the VIF values for all continuous variables ranged from 1.104 to 1.760， suggesting that collinearity did not affect modeling. An ordinal logistic regression model was established based on sex， involvement of other sites， calcium ion， lymphocyte percentage， and uric acid. The multivariate analysis showed that lymphocyte percentage （odds ratio ［OR］=1.106， 95% confidence interval ［CI］： 1.041 — 1.174， P=0.001） and blood calcium level （OR=0.005， 95%CI： 0.000 —0.230， P=0.007） were independent influencing factors for the degree of calcium salt deposition. The regression equation was established as Logit（P）=8.231 + 0.100 × lymphocyte percentage -5.344 × calcium ion. The ROC curve analysis showed that the model had an area under the ROC curve of 0.716， with a Youden index of 0.353， a sensitivity of 1.000， and a specificity of 0.353. The Hosmer-Lemeshow test showed that the model had poor calibration （χ²=20.688， P=0.008）. The Bootstrap method with 1000 repeated samples showed that the estimated values of lymphocyte percentage （OR=1.106， 95%CI： 1.049 — 1.186， P=0.002） and calcium ion （OR=0.005， 95%CI： 0.000 — 0.214， P=0.010） were consistent with the original model， and the confidence intervals did not include 1， which further supported the reliability of the model. ConclusionBoth lymphocyte percentage and blood calcium level are independent influencing factors for calcium salt deposition in alveolar echinococcosis， and the degree of calcium salt deposition in alveolar echinococcosis lesions increases with the reduction in blood calcium level and the increase in lymphocyte percentage.

Objective: To identify an optimal back-flush solution for leukocyte-depleted filters that maximizes peripheral blood mononuclear cell (PBMC) recovery with high viability, long-term storage stability, and sterility of the harvested residues, thereby providing a clinically translatable strategy. Methods: Three sterile bag-packaged solutions—Saline, Solvent, and Hanks' balanced salt solution (HBSS)—were used to back-flush randomly assigned leukocyte-depleted filters. Nucleated cell recovery rate and viability of the harvested residues were compared. The optimal solution identified was applied to an expanded sample set. PBMC viability and yield were evaluated after 1h vs 48h storage of the residues. PBMCs isolated from the residues were cryopreserved in liquid nitrogen for 1 month, followed by post-thaw comparisons of viability and T-cell expansion capacity. Results: The Solvent group achieved the highest and most consistent nucleated cell recovery rate. Post-flush recovery rate from filters after 400 mL whole blood processing was (21.3±1.6)% for the Solvent group, significantly higher than Saline group (19.2±6.3)% and HBSS group (11.2±5.0)%, with residues from all groups maintaining viability >90%. No biologically significant difference in residue viability was observed between 48h vs 1h storage groups (93.3±2.3)% vs (95.7±1.8)%). PBMC recovery rates from residues showed no statistical difference between 48h vs 1h storage groups [(48.2%±9.5%)vs (40.41%±8.35%), P>0.05], with (17.7±2.6)×10 cells. After 1-month cryopreservation and 10-day expansion, PBMCs isolated from 48-hour-stored residues retained (91.2±3.2)% viability and achieved a (61.9±15.9)-fold expansion. Conclusion: The bag-packaged Solvent, as a back-flush solution, enables sterile acquisition of leukocyte-depleted filter residues through closed-system tubing connections. These residues maintained PBMC viability and recovery rates after 48h storage at 2℃-8℃, with post-cryopreservation (1-month liquid nitrogen) viability and expansion capacity remaining stable. This protocol complies with blood bank regulatory criteria, addresses the concerns about the infectious window period in cell therapy raw materials, and provides a clinically translatable strategy for PBMC-based applications.

Objective:To explore the distribution characteristics of glioma-associated oncogene homolog 1 (Gli1) positive cells during orthodontic tooth movement process and conduct a proteomic analysis of these cells.Methods:Forty Gli1-LacZ transgenic mice were used to establish an in vivo orthodontic tooth movement (OTM) model for labeling Gli1 positive cells in Gli1-LacZ transgenic mice (OTM group) and an unforced control group, with tooth movement distance measured using micro-CT. The spatial relationship and distribution characteristics of Gli1 positive cells and H-type vessels of CD31 and endomucin (EMCN) in periodontal tissues were detected by immunofluorescence staining. Twenty Gli1-membrane-targeted tandem dimer Tomato (mT)/membrane-targeted green fluorescent protein (mG) double-genotype mice were bred and Gli1 positive cells were sorted for proteomic sequencing after tamoxifen induction. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases were used for enrichment analysis. Results:The micro-CT three-dimensional reconstruction results showed that the mesial movement of the maxillary first molar in mice after 7 days of force application was (69±15) μm, indicating the successful establishment of the Gli1-LacZ transgenic mouse OTM model. Immunofluorescence staining showed that the blood vessels in periodontal tissue were mostly H-type vessels of CD31 and EMCN. The blood vessels in the periodontal tissues are predominantly H-type vessels positive for both CD31 and EMCN. The percentage of Gli1 positive cells in the OTM group, expressed as (54.5±13.2)%, and the relative fluorescence intensity, expressed as 2.6±0.9, were both significantly greater than those in the control group, which had a Gli1 positive cell percentage of (36.3±9.1)% ( t=3.60 , P=0.002) and a relative fluorescence intensity of 1.0±0.3 ( t=5.20, P<0.001). In contrast to the control group where only a small number of Gli1 positive cells were consistent with the distribution of H-type vessels, in the OTM group the number of Gli1 positive cells increased on the tension side were closely associated with the spatial distribution of H-type vessels. GO enrichment analysis of biological processes found that a large number of proteins in Gli1 positive cells were enriched in pathways such as angiogenesis and tissue remodeling. KEGG enrichment analysis found that related proteins were mainly enriched in pathways related to angiogenesis and Gli1, such as hypoxia-inducing factor 1 signaling pathway, vascular endothelial growth factor signaling pathway and hedgehog signaling pathway. Conclusions:The number of Gli1 positive cells increased on tension side and were closely related to H-type blood vessels in response to mechanical force during orthodontic tooth movement. This may be related to profile of inducing blood vessel formation and tissue remodeling.

OBJECTIVES: To explore potential keywords, research clusters, collaborative pattern, and research trends in the field of medical technology management (MTM) through bibliometric analysis, providing insights for researchers, policy makers, and hospital administrators. METHODS: A retrieval formula was applied to the title, abstract, and keywords in the Web of Science (WoS) Core Collection, along with system-recommended terms, to identify articles on MTM. A total of 181 articles published between 1974 and 2022 were retained for quantitative analysis. The global trend of research output; total citations, average citations, and H-index; and bibliographic coupling, co-authorship, and keyword co-occurrence were analyzed using VOSviewer. RESULTS: The number of articles on MTM has been steadily increasing year by year. The focus of research has shifted from addressing basic medical needs to prioritizing emergency response and medical information security. The United States, Italy, and the United Kingdom emerged as the main contributors, with the United States leading in both volume of publications (60 articles) and academic impact (H-index = 21). Authors from the United Kingdom and the United States led the way in cross-border cooperation. The top five institutions, ranked by total link strength among cross-institutional authors, were primarily located in Canada and Spain. CONCLUSIONS The field of MTM has experienced stable growth over the past three decades (1993-2022). The shift of research focus has prompted a heightened emphasis on protecting patient privacy and ensuring the security of medical data. Future research should emphasize interdisciplinary and professional collaboration, as well as international cooperation and open sharing of knowledge.
Bibliometrics ; Humans ; Biomedical Technology

Background and Aims:Mucinous adenocarcinoma of the colorectum(MAC)is a distinct histologic subtype of colorectal cancer characterized by high malignancy and low diagnostic accuracy of preoperative biopsy,posing challenges for clinical decision-making.Given the critical role of the inflammatory microenvironment in tumor progression,this study aimed to develop and validate a nomogram model integrating preoperative systemic inflammatory indicators and clinical features to improve the preoperative diagnosis of MAC.Methods:Clinical data of 293 patients with colorectal cancer who underwent radical resection between June 2017 and June 2022 at the First Affiliated Hospital of the University of South China were retrospectively analyzed.Based on postoperative pathology,patients were classified into the mucinous adenocarcinoma(MAC)group and the non-specific adenocarcinoma(AC)group.Propensity score matching(PSM,1∶1)was used to balance age,T stage,and N stage.Differences in preoperative inflammatory indices were compared between groups.Univariate and multivariate logistic regression analyses were performed to identify independent predictors of MAC,which were incorporated into a diagnostic nomogram.The model's discrimination,calibration,and clinical utility were evaluated using the area under the receiver operating characteristic curve(AUC),calibration plots,and decision curve analysis(DCA).Results:Among the 293 patients,46 had MAC and 247 had AC,with a preoperative colonoscopic diagnostic rate of 54%for MAC.After PSM(43 pairs),platelet count,platelet lymphocyte ratio(PLR),systemic immune inflammation index(SII),inflammation related prognostic index(IPI),and systemic inflammation score(SIS)were significantly higher in the MAC group,while lymphocyte monocyte ratio(LMR)was lower(all P<0.05).Multivariate analysis identified tumor location,maximum tumor diameter,and preoperative IPI as independent predictors.The AUCs of the nomogram in the training(n=206)and validation(n=87)cohorts were 0.759(95%CI=0.662-0.856)and 0.776(95%CI=0.649-0.903),respectively.Calibration plots showed good agreement between predicted and observed probabilities,and DCA demonstrated satisfactory clinical applicability.Conclusion:A nomogram model integrating tumor location,tumor size,and preoperative IPI was successfully developed and validated for preoperative diagnosis of colorectal MAC.This model provides a practical,quantitative tool with good predictive performance to assist clinicians in individualized treatment planning,particularly for patients ineligible for surgical biopsy.

OBJECTIVE To investigate the effects of coptisine on endogenous metabolites in a dextran sulfate sodium(DSS)-in-duced ulcerative colitis(UC)mouse model,and to explore its potential mechanisms of action employing non-targeted metabolomics technology.METHODS SPF-grade male C57BL/6 mice were randomly divided into a control group,a model group,a sulfasalazine group(100 mg·kg-1),and low and high dose groups of coptisine groups(25,50 mg·kg-1).To induce ulcerative colitis(UC),all groups except the control group had free access to a 2.5%DSS solution for 7 days.At the same time,they also received daily intragastric ad-ministration of their corresponding treatments until the 10th day.Body weight changes,stool characteristics,and bloody stool occur-rence were recorded daily,and the disease activity index(DAI)was calculated.After the experiment,colon tissues were collected for pathological examination.Through UPLC-Q-TOF-MS/MS,non-targeted metabolomic analysis was performed to identify differential metabolites,and metabolic pathway enrichment analysis was conducted using the KEGG database.RESULTS Compared to the model group,coptisine significantly ameliorated weight loss,DAI scores,and pathological damage in colon tissues of UC mice(P<0.05,P<0.01).Metabolomic analysis identified 56 differential metabolites,mainly involved in purine metabolism,tryptophan metabo-lism,niacin and nicotinamide metabolism,glutathione metabolism,and the biosynthesis of phenylalanine,tyrosine,and tryptophan.Coptisine intervention significantly reversed the abnormal expression of these metabolites.CONCLUSION Coptisine can markedly improve metabolic disorders in DSS-induced UC mice by modulating multiple key metabolic pathways,thereby exerting a therapeutic effect.

Objective:To analyze the distribution and epidemiological characteristics of non-bacterial pathogens in hospitalized children with acute respiratory infections at a tertiary pediatric hospital in Shanghai during 2023.Methods:A retrospective study was conducted on 10 591 children with acute respiratory tract infections who were hospitalized in Shanghai Children's Hospital from January to December 2023. A multiplex PCR combined with capillary electrophoresis platform was used to detect 11 common non-bacterial respiratory pathogens（including viruses and atypical pathogens）. Statistical analysis was carried out using SPSS 29.0 software. Qualitative data were presented as numbers and percentages，and the Chi-square test was employed to make comparisons between groups，aiming to analyze the differences in the distribution of different pathogens according to gender，age group，and season. Additionally，based on the severity of the disease，patients were calssified into a severe pneumonia group and a non-severe pneumonia group to further explore the characteristics of the pathogen spectrum of severe pneumonia.Results:The total detection rate of pathogens was 54.39%（5 760/10 591），and the proportion of mixed infections was 12.76%（735/5 760）. The dominant pathogens and their proportions were as follows： Mycoplasma pneumoniae（19.20%，2 034/10 591），human rhinovirus（12.16%，1 288/10 591），influenza A virus（8.31%，880/10 591），and respiratory syncytial virus（8.14%，862/10 591）. Epidemiological characteristics showed that：（1）In terms of age： Mycoplasma pneumoniae was more common in older children（29.55%，901/3 049，in the school-age group，χ 2 = 653.67， P<0.001）. Influenza A virus had a high incidence in the adolescent group（11.34%，45/397，χ 2=48.69， P<0.001）. Respiratory syncytial virus was most susceptible in the infant group（20.94%，280/1 337，χ 2=739.92， P<0.001）. Human rhinovirus showed the characteristic of general susceptibility across all ages.（2）Monthly and seasonal distribution： Mycoplasma pneumoniae had a seasonal epidemic in summer and autumn（it began to rise in May and peaked in October at 34.22%，439/1 283）；influenza A virus had a bimodal distribution in spring and winter（the peak was 37.15% in March，315/848）；respiratory syncytial virus had a dominant epidemic in spring and summer（the detection rate was 21.24% in May，206/970），and human rhinovirus was prevalent throughout the year.（3）Clinical correlation：The detection rate of pathogens in the severe pneumonia group was significantly higher than that in the non-severe group：84.19%（426/506） vs 2.89%（5 334/10 085），χ 2=56.23， P<0.001. Conclusions:In 2023，the pathogen spectrum of hospitalized children with acute respiratory infections in the Shanghai area exhibits an epidemic pattern dominated by Mycoplasma pneumoniae，and its transmission dynamics are significantly age-dependent. This study delineates the pathogen-host-environment tripartite interactions，establishing an evidence-based foundation for formulating precision diagnostic-therapeutic algorithms and seasonal nosocomial infection prevention frameworks.

To formulate an expert consensus on the principles of preoperative hair removal and provide scientific guidance for standardized removal of hair before surgical procedures so as to reduce the incidence of surgical site infections.METHODS Led by the Hospital Management Institute of National Health Commission of the People's Republic of China,this consensus was reached with the joint efforts from the expects of relevant fields such as surgeries,interventional therapies,nursing,and infection prevention and control.The consensus facilitates the classification and evaluation of literatures by following the evidence grade formulated by Oxford Evidence-based Medicine Center and focuses on the association of preoperative hair removal with surgical site infection,it reaches the evidence grade of expert consensus and recommendation intensity by integrating with discussions on meetings and clinical experience of the expects from relevant fields.RESULTS A total of 6 items of consensus were reached by summarizing the latest evidence on the aspects including the indications for preoperative hair removal,tools,range,timing and places.CONCLUSION The consensus,to some extent,make supplements to and complete the exiting regulations and standards.It provides guidance for the medical institutions to carry out the preoperative hair removal.

Objective To understand the current situation of healthcare-associated infection(HAI)in China,pro-vide data support and decision-making basis for formulating scientific and effective strategies for HAI prevention and control.Methods A nationwide cross-sectional survey on HAI was conducted among various types and levels of medical institutions in China according to a unified protocol of bedside surveys and case investigations.Results In 2024,a total of 5 736 medical institutions and 2 751 765 patients were surveyed.Among them,34 889 HAI cases were identified,with a prevalence rate of 1.27％.The number of HAI episodes was 38 032,and case prevalence rate was 1.38％.The prevalence rate of HAI in medical institutions in different regions of China ranged from 0.66％to 2.35％.Among medical institutions of different scales,those with a bed capacity of ≥900 had the high-est incidence of HAI,reaching 1.65％.The most common infection site was the lower respiratory tract(44.66％),followed by the urinary tract(12.94％),surgical site(9.32％),upper respiratory tract(7.02％),and bloodstream infection(5.78％).The top 3 departments with the highest HAI rates were the general intensive care unit(10.02％),department of neurosurgery(5.51％),and department(group)of hematology(5.34％).A total of 23 238 strains of HAI pathogens were detected,with 10 714 strains(46.10％)from lower respiratory tract speci-mens.The top 5 detected strains were Klebsiella pneumoniae(14.76％),Pseudomonas aeruginosa(13.33％),Escherichia coli(12.79％),Acinetobacter baumannii(9.23％),and Staphylococcus aureus(7.88％).231 944 pa-tients underwent class Ⅰ incision surgery were monitored,with 1 647 cases experienced surgical site infection,and the prevalence rate of surgical site infection was 0.71％.The number of patients who should undergo pathogen de-tection(patients receiving therapeutic and therapeutic combined prophylactic antimicrobial agents)was 715 179,while the actual number was 480 492,with a pathogen detection rate of 67.18％.425 225 patients received patho-genic detection before treatment,with a detection rate of 59.46％.Conclusion The overall HAI prevalence in Chi-na is lower,showing disparities among medical institutions of different regions and scales.Therefore,precise imple-mentation of measures is necessary for HAI prevention and control,with a focus on high-risk institutions and high-risk departments,key areas,and critical procedures.All levels of medical institutions should continuously reduce the incidence of HAI by strengthening monitoring,standardizing the use of antimicrobial agents,and reinforcing basic HAI prevention and control measures.

Objective To investigate the mechanism of Astragali Complanati Semen in the prevention and treatment of hyperlipidemia;To provide theoretical basis for its clinical application.Methods The active components of Astragali Complanati Semen were retrieved and screened through TCMSP,TCMID and TDT databases to obtain the action targets of the active components.Hyperlipidemia targets were obtained through GeneCards,DisGeNET,and TTD databases,and the drug active component targets were intersected with hyperlipidemia targets.Cytoscape 3.9.1 software and STRING database were used to construct active component-target network and protein-protein interaction network,screening for major active components and core targets.GO and KEGG pathway enrichment analysis was performed using the DAVID database,and the CB-Dock platform was used for molecular docking.HepG2 cells were induced to construct a high-fat cell model using oleic acid and palmitic acid,and intervened with Astragali Complanati Semen freeze-dried powder solution.The mRNA expression of the core target was detected by RT-qPCR.Results A total of 10 active components of Astragali Complanati Semen and 67 potential action targets of hyperlipidemia were identified,involving signaling pathways such as AGE-RAGE,lipid metabolism,HIF-1,etc.Experimental results showed that intervention with Astragali Complanati Semen could reduce lipid accumulation in the high-lipid cell model,with an optimal intervention concentration of 500 μg/mL;RT-qPCR revealed significant down-regulation of TNFα,IL6,AKT1,PPARG,and other genes after intervention with Astragali Complanati Semen.Conclusion Astragali Complanati Semen exerts lipid-regulating effects through multiple targets and pathways,providing a basis for its application in the prevention and treatment of hyperlipidemia.