Objective To evaluate the clinical application of CT-guided coaxial needle biopsy in pancreatic puncture-cutting biopsy via adipose tissue space.Methods The clinical data of 30 patients,who received CT-guided pancreatic coaxial needle biopsy via adipose tissue space at the Pingdu Hospital Area of Affiliated Hospital of Qingdao University of China from June 2021 to April 2024,were retrospectively analyzed.The patients included 20 males and 10 females with a mean age of(65.1±8.7)years.The lesions were located in the pancreatic head(n=7),pancreatic neck(n=4),pancreatic body(n=7),pancreatic tail(n=10)and uncinate process(n=2).Under CT guidance,a 17 G co-axial guiding needle was inserted to establish a puncture pass through adipose tissue space,then an 18 G biopsy needle was used to make tissue sampling.A total of 32 procedures of pancreatic puncture-cutting biopsy were performed,two of these patients received two times of biopsy.After sampling,a self-made blocking agent(a mixed liquid of gelatin sponge particles and snake venom hemagglutinin),was used to occlude the puncture channel so as to prevent complications such as bleeding,pancreatic leakage,needle tract implantation metastasis,etc.Results A total of 32 procedures of pancreatic puncture-cutting biopsy with coaxial guiding needle via adipose tissue space were performed,including two patients who received two times of biopsy.The success rate of puncturing was 100％(32/32),the success rate of sampling was 93.8％(30/32),and the accuracy of sampling was 93.8％(30/32).No serious puncture-related complications occurred in all patients.Conclusion CT-guided pancreatic coaxial needle biopsy via adipose tissue space is clinically safe,accurate in sampling and minimally-invasive.This interventional diagnostic technique is worth applying in clinical practice.

OBJECTIVE To establish a preparation system for megakaryocytes(MKs)derived from human embryonic stem cells(hESCs)and MK microparticles(MKMPs),and to assess the pro-angio-genic efficiency of these microparticles.METHODS ①hESCs were induced to mesodermal progenitor cells via monolayer culture with the first-stage induction medium for 2 days before the cells were induced to hemogenic endothelial/hematopoietic progenitor cells by culturing with the second-stage induction medium for another 3 days.Then,the cells were dissociated into single cells,seeded into the third-stage induction medium,and cultured using the suspension method for 8 days to obtain MKs.The specific characters of differentiated cells were identified through morphological observation and flow cytometry before stage-specific marker proteins in different periods were analyzed[hESCs:TRA-1-60,sialyl glycolipid stage-specific embryonic antigen4(SSEA4)];mesodermal progenitor cells:brachyury;hemogenic endothelial/hematopoietic progenitor cells:CD34,CD43;MKs:CD41a,CD42b),and immu-nofluorescence staining[β1-tubulin,von Willebrand factor(VWF)],[friend leukemia integration 1(FLI1),CD42].② MKMP collection and verification:MKMPs were collected via differential centrifugation.The concentration and size of these MKMPs were determined by nanoparticle tracking analysis(NTA),and both the morphology and ultrastructure were examined by transmission electron microscopy(TEM).Besides,the MKMPs-specific proteins[CD41,tumor susceptibility gene 101(TSG101)and CD9]were detected by Western blotting analysis.③ Biological function of MKMPs:MKMPs were stained with CD41a-PE antibodies and co-cultured with human umbilical veinvascular endothelial cells(HUVECs)labeled by CD34-APC for 3 h.Live-cell immunofluorescence was employed to find out whether HUVECs could absorb MKMPs.To find out whether MKMPs could affect the role of HUVECs in angio-genesis and cell migration,platelet microvesicles(PMPs)were used as positive controls.The experi-mental groups were added with different concentrations of microparticles(1,5,10 and 20 mg·L-1)while the control group was given no microparticles(0 mg·L-1).The number of nodes that formed the lumen after 5 h of incubation in Matrigel was counted,and the size of healing of the scratch area was analyzed after 6 h.To elucidate the mechanism through which MKMPs impacted angiogenesis,ELISA was used out to quantitatively detect the concentration of proteins in microparticles.RESULTS ① A three-stage differentiation cultural system was established to develop hESCs into MKs.Flow cytometry revealed progressive loss of pluripotency markers SSEA4 and TRA-1-60,while the mesodermal progenitor marker brachyury peaked at d 2.Subsequently,hemogenic endothelial/hematopoietic progenitor markers CD34 and CD43 emerged at d 5,followed by megakaryocytic markers CD41a and CD42b at d 13.Immunofluorescent images further demonstrated that MKs expressed specific proteins CD42,β1-tubulin,von VWF and FLI1 at d 13.②Microparticles were collected via differential centrifuga-tion.Transmission electron microscopy revealed that their substructure exhibited a typical double-layered membrane.Nanoparticle tracking analysis indicated that the size was(164.3±14.0)nm.The result of WB demonstrated that the microparticles expressed specific markers,including TSG101,CD9 and CD41.③ MKMPs were absorbed after being co-cultured with HUVECs for 3 h and enhanced the ability of HUVECs to form tubes and migrate.Notably,the treatment of 5 mg·L-1 MKMPs was more effective than 5 mg·L-1 PMPs treatment.The results of ELISA showed that the content of VEGF from MKMPs was higher than from PMPs,which may be the key factor in regulating endothelial biological function.CONCLUSION MKs derived from hESCs can generate functional microparticles which can promote angiogenesis.

Objective:To explore the mechanisms of oxaliplatin resistance mediated by TET2 methylation in the treatment of acute lymphoblastic leukemia (ALL) using bioinformatics methods.Methods:The data on drug-resistant and sensitive cell lines related to oxaliplatin treatment for ALL were download using the Genomics of Drug Sensitivity in Cancer (GDSC) database (updated in December 2023); the drug-resistant cell lines were screened based on half maximal inhibitory concentration ( IC50) > 10 μmol/L, and the difference in IC50 between drug-resistant and sensitive cell lines were analyzed using Mann-Whitney U test. The cancer driver mutation genes in drug-resistant cell lines were retrieved using the Cancer Cell Line Encyclopedia (CCLE) database (updated in December 2023). Using the protein-protein interaction (PPI) network functional enrichment analysis (STRING) database (updated in June 2024), PPI network analysis was performed on cancer driver mutation genes with biological functions. A confidence threshold of ≥ 0.7 (high confidence) and an average network node degree above 4 (high average) were selected to screen for cancer driver mutation genes with significant biological functions. Using the microRNA Data Integration Portal (mirDIP) database (updated in June 2024), the coexpression data of microRNA (miRNA) and mutant target genes were queried, miRNA-target gene pairs were screened according to the highest score threshold of 1% miRNA and interaction score > 0.9, and the regulatory effect of miRNA on mutant genes was analyzed. DNA methylation data were download from the Methylation in Human Cancer (MethHC) database (updated in June 2024) and the methylSig R software package was used to analyze the differentially methylated regions (DMR) of DNA methylation between drug-resistant and sensitive cell lines; genes with P < 0.05 and absolute difference > 0.2 were selected, and they were divided into high methylation gene group and low methylation gene group. Spearman correlation analysis and Spearman rank test were performed for the degree of methylation and gene expression, and the key genes with P < 0.01 were screened to reveal the relationship between methylation degree and gene expression. Results:As a result of searching the GDSC database, there were a total of 9 drug-resistant cell lines and 17 sensitive cell lines related to oxaliplatin treatment for ALL; after Z-score normalization of IC50 data between drug-resistant and sensitive cell lines, the average rank of drug-resistant cell lines was 21, and the average rank of sensitive cell lines was 8.5, with a statistically significant difference ( Z = -4.08, P < 0.01). Eight cancer driver mutation genes with significant biological functions that lead to drug resistance of the cell lines were screened using the CCLE database and STRING database. According to the mirDIP database, there were a total of 12 pairs of miRNA-target gene pairs with miRNA-target gene interaction scores >0.9. miRNA had strong regulatory effects on the expressions of NRAS and MAP2K1 target genes. In the MethHC database, the β values (numerical value of increased methylation level) of DMR for genes such as TP53, RXRG and SGIP in drug-resistant cell lines were 0.151, 0.165 and 0.149, respectively, compared to those in sensitive cell lines, the differences were statistically significant (all P < 0.01). The degree of methylation of SGIP gene was negatively correlated with the relative expression level of SGIP mRNA ( r = -0.71, P < 0.01), and SGIP gene underwent high methylation at promoter site 143886940. The cg08321569 locus in the TET2 gene domain of drug-resistant cell lines exhibited persistent high methylation, with a methylation level of β = 0.89. This locus was located 1.2 kb downstream of the transcription start point of exon 4, and the degree of TET2 methylation was negatively correlated with the relative expression level of TET2b mRNA ( r = -0.81, P < 0.01). Conclusions:TET2 methylation may be an important factor for oxaliplatin resistance in the treatment of ALL.

Objective:To construct a classification management model on the basis of Kraljic matrix for electrocardiogram(ECG)monitoring equipment in emergency intensive care unit(ICU),so as to explore its application value in the management for ECG monitoring equipment in emergency ICU.Methods:The classification management model on the basis of index for ECG monitoring equipment in emergency ICU was constructed.According to two classification dimensions included the market supply risk and the self-value,an indicator system of classification management,which aimed at strategic materials with high value and high risk,leverage materials with high value and low risk,bottleneck materials with low value and high risk,and conventional materials with low value and low risk,was constructed.A total of fifty-one ECG monitoring equipment in the emergency ICU of The People's Hospital of Longhua of Shenzhen from January to December 2023 were selected,and they were managed respectively by conventional management mode(25 sets)and classification management mode(26 sets)according to different management modes.The standardization level of operation management for equipment,the occurrence of safety risk and the level of management for equipment of the two management modes were compared,and the satisfaction of 30 relative personnel,who used and managed these equipment,for classification management of equipment also were compared.Results:The average values of the percentage of standardization level of normality of equipment operation,disinfection and sterilization,maintenance and fault repair of using classification management mode were respectively(91.58±4.33)%,(92.1±3.28)%,(91.49±3.54)%and(92.58±3.32)%,all of which were higher than those of conventional management mode,and the differences were statistically significant(t=12.537,15.706,14.196,18.946,P<0.05),repsectively.The average incidences of the risk of pressure injury,electrical injury and body fluid extravasation of adopting classification management mode were respectively(2.54±0.87)%,(3.02±0.82)%and(1.29±0.65)%,all of which were lower than those of adopting conventional management mode,and the differences were statistically significant(t=22.825,17.453,24.424,P<0.05),respectively.The satisfaction scores of 30 relative management personnel,who used equipment on the process rationality,system standardization and quality effectiveness,of adopting classification management mode were respectively(94.26±3.54),(92.57±4.36)and(91.87±3.69),all of which were higher than those of conventional management mode,and the differences were statistically significant(t=14.052,13.991,13.551,P<0.05),respectively.The reasonable placement rate,recording rate of standardization,and intact rate of equipment in the 26 equipment by adopting classification management mode were respectively 92.31%,92.31%and 88.46%,all of which were significantly higher than those by adopting conventional management mode,and the differences were statistical significant(x2=12.052,10.398,11.338,P<0.05).Conclusion:The classification management model of ECG monitoring equipment in emergency ICU can increase the management efficiency for the equipment in operating room of hospital,and improve the operation quality of equipment,and enhance the safety of equipment in clinical use,and the standardization of operation management for equipment.

Objective To develop an instrument for predicting postoperative constipation risks in patients with osteoporotic thoracolumbar fracture(OTLF)who have undergone percutaneous kyphoplasty(PKP).Methods A total of 858 OTLF patients who underwent PKP surgery between January 2020 and December 2024 were enrolled.The patients were randomly assigned to a training set(n=600)and a validation set(n=258)in a 7∶3 ratio.According to whether the patients had postoperative constipation,the training set was divided into a constipation group(n=205)and a non-constipation group(n=395),and the validation set was divided into a constipation group(n=90)and a non-constipation group(n=168).Logistic regression analysis was conducted to analyze the factors influencing postoperative constipation in OTLF patients after PKP,and a nomogram model was constructed accordingly.The receiver operating characteristic(ROC)curve and the calibration curve of the model were plotted,and the Hosmer-Lemeshow test for goodness of fit was performed.Results A total of 205 OTLF patients(34.17%)in the training set and 90 OTLF patients(34.88%)in the validation set experienced constipation after PKP.Univariate analysis revealed significant differences between the constipation and non-constipation groups in terms of operative time,postoperative water intake,time to first postoperative meal,postoperative bed rest time,the levels of Bifidobacterium,Lactobacillus,Enterococcus,and Enterobacter,the Nutrition Risk Screening 2002(NRS-2002)score,and the levels of sodium,potassium,and HbA1c(P<0.05).Least absolute shrinkage and selection operator(LASSO)regression was performed and operative time,time to first postoperative meal,the levels of Bifidobacterium,Lactobacillus,Enterococcus,and Enterobacter,the NRS-2002 score,and the levels of sodium,potassium,and HbA1c were identified as candidate predictors.Multivariate logistic analysis showed that the time to first postoperative meal,the levels of Bifidobacterium and Lactobacillus,the NRS-2002 score,and the levels of sodium and HbA1c were influencing factors of postoperative constipation in OTLF patients(P<0.05).The ROC curves showed that the area under the curve(AUC)of the training set was 0.842(95%CI:0.793-0.892),while that of the validation set was 0.860(95%CI:0.830-0.889).The calibration curves demonstrated good agreement between the prediction curve and the standard curve in both the training set and the validation set.Conclusion The time to the first postoperative meal,the NRS2002 score,and the levels of Bifidobacterium,Lactobacillus,sodium,and HbA1c are influencing factors of post-PKP constipation in OTLF patients.The nomogram model built based on these factors exhibited good predictive performance.

Objective To explore the effects and underlying molecular mechanisms of high fat diet(HFD)on in-testinal barrier damage and inflammatory reaction in mice with irritable bowel syndrome(IBS)induced by sodium dextran sulfate(DSS).Methods C57BL/6 mice were randomly divided into four groups(n=6):Normal group,DSS group(1.5％DSS solution for one week),HFD+DSS group,and HFD+DSS+WY14643 group(intraperitone-ally injected daily with PPARα agonist WY14643 6 mg/kg).The body weight and liver weight of mice were measured.Colon pathology was observed by HE staining.The protein expression of zonula occludens-1(ZO-1)and occludin was detected by immunohistochemistry.The mRNA expression of tumor necrosis factor-α(TNF-α),interleukin-β(IL-1β),and interleukin-17(IL-17)were determined by qRT-PCR.PPARα protein expression was determined by Western blot.Results The body weight and liver weight of mice in the HFD+DSS group were significantly higher than those in the DSS group(P＜0.001).HE staining showed normal colonic tissue structure in Normal group,while other three groups exhibited varying degrees of mucosal damage with a small amount of in-flammatory cell infiltration and epithelial cell shedding.Among these,the HFD+DSS group displayed the most se-vere intestinal mucosal damage and inflammatory infiltration.Compared with the DSS group,the HFD+DSS group showed decreased ZO-1 and Occludin protein expression(P＜0.001),elevated TNF-α,IL-1 β,and IL-17 mRNA levels(all P＜0.001),and downregulated PPARα protein expression(P＜0.01).Compared with the HFD+DSS group,mice in HFD+DSS+WY14643 group showed improvement in intestinal mucosal damage and reduced infiltration of inflammatory cells.The protein expression of ZO-1 and occludin in colon of mice in the HFD+DSS+WY14643 was increased(all P＜0.05),while the expression of TNF-α,IL-1 β,and IL-17 mRNA was downregulated(P＜0.01 or P＜0.05),and the protein expression of PPAR α was upregulated(P＜0.05).Conclusions HFD-induced obesity aggravates intestinal mucosal damage,intestinal barrier destruction and in-flammatory response in IBS mice,and its molecular mechanism is potentially related to downregulation of PPARαexpression in intestinal tissues.

Objective To identify the key factors affecting the risk of medical surges and their coupling relation5 ships,providing strategic support for medical institutions to optimize risk management and emergency governance.Methods 17 influencing factors were determined based on WSR theory,and an expert scoring method was employed to assess the impact strength among the factors.The DEMATEL method was applied to calculate the centrality,cau5 sality,influence,and being influenced degrees of the influencing factors.The ISM method was used to construct a hierarchical structure of the influencing factors related to medical surge risks,thereby revealing the connections and interaction mechanisms among these factors.Results Seven critical influencing factors were identified,including the crisis decision-making capacity and leadership effectiveness of emergency managers,the completeness of the emer5 gency system and dynamic execution capabilities,and the cross-departmental coordination mechanism and com5 mand collaboration efficiency.Deep driving factors and coupling pathways were also revealed.Conclusion The risk of medical surges exhibits multi-factorial coupling cascade effects;attention should be directed towards the construc5 tion of mid-to-deep level mechanisms such as information systems,institutional frameworks,and organizational management,to enhance targeted capabilities and systemic resilience in risk governance.

Objective To define the conceptual connotation of network dynamic collaboration capacity in medical surge response and construct its theoretical model.Methods A mixed concept analysis method was employed,integrating multidisciplinary literature and collecting empirical evidence through semi-structured expert interviews to extract the concept of network dynamic collaboration capacity in medical surge response.By integrating complex systems,network science,synergetics,and dynamic capability theory,and combining the interview results,the study used the analogy of flood control in hydraulic engineering to develop a"network-dynamic-collaboration"triangular capacity theoretical model.Results It reveals one antecedents(sudden external shocks have led to an abnormal and continuous surge in medical demand),six core attributes(information interconnection accessibility,dynamic resource adaptability,risk perception responsiveness,multi-party collaborative interactivity,service process adaptability elasticity,and learning iterative evolution),and four consequences(mitigation of crowding risk,protection of service continuity,minimization of crisis spillover,and enhancement of system resilience)for the network dynamic collaboration capacity in medical surge response.The theoretical model elucidates the coupling mechanisms among network structural resilience,dynamic regulation processes,and collaborative co-evolution in resisting medical surge.Conclusion The new concept and theoretical model proposed in this study deepen the understanding of medical surge response system mechanisms and offer a theoretical framework and practical guidance for strengthening the full-chain resilience of health emergency systems.

Objective To empirically analyze multiple pathways for enhancing medical surge response capacity and provide useful references for improving the resilience of health systems.Methods A comprehensive theoretical analysis framework for improving medical surge response capacity was constructed based on the 4S theory and collaborative governance theory.68 interview texts on medical surge response capacity conducted in July 2024 were selected as analysis samples.Using fuzzy-set Qualitative Comparative Analysis(fsQCA),7 conditional variables were selected from four dimensions:management system,information system,materials,and personnel to analyze their impact on medical surge response capacity.Results(1)A single conditional variable does not constitute a necessary condition for improving medical surge response capacity;(2)After the combination of conditions,8 specific configuration paths for capacity improvement were identified.Through systematic and comprehensive refinement,they were summarized into three modes of comprehensive configuration capacity improvement paths,namely:rapid response and collaborative operation mode,information empowerment and precise response mode,and resource conditions and resilience construction mode.Conclusion It is necessary to explore and construct systematic,combined,modularized and path-oriented capacity building strategies,refine the operational implementation paths for improving China's medical surge response capacity,target the linkage and configuration modes of different conditional variables,promote the formulation and implementation of modular construction schemes oriented by key capacity,and make efforts from multiple aspects to enhance the resilience of the health system.

Objective:Acute kidney injury(AKI) is a common complication after cardiac surgery, and associated with increased risk of development of chronic kidney disease and mortality in the long term. Neutrophil percentage-to-albumin ratio(NPAR) is a new inflammatory marker that has been used to predict the poor prognosis of patients with cardiovascular disease or shock. However, the relationship between NPAR and AKI in patients with cardiac surgery has not been established. The aim was to evaluate the relationship between NPAR and AKI after cardiac surgery.Methods:Data of all adult patients underwent cardiac surgery with cardiopulmonary bypass from January 1, 2006 to December 31, 2018 were extracted from electronic medical record system of the Guangdong Provincial People's Hospital and retrospectively analyzed. The outcome of interest was AKI diagnosed by using the criteria of Kidney Disease Improving Global Outcomes. Logistic regression was used to assess the relationship between NPAR and postoperative AKI while adjust for potential confounders. In addition, restricted cubic spline(RCS) was utilized to provide a flexible description of the association of the preoperative NPAR and AKI. Results:Totally, 24 178 patients were analyzed. The incidence of AKI was 30.1%. Compared with patients without AKI, those with AKI were older and had higher rates of males, left ventricular ejection fraction(LVEF) less than or equal to 0.60, estimated glomerular filtration rate less than 90 ml·min -1·1.73 m -2, hypertension, diabetes, emergency surgery, preoperative critical illness, and reoperation. The baseline serum creatinine, serum uric acid, cardiopulmonary bypass time and postoperative mechanical ventilation time were higher or longer in AKI patients than those in none AKI patients. Then, patients were divided into four groups based on NPAR quartiles. After adjusting for confounding factors using logisitc regression, compared with patients with NPAR in group 3(1.551.97), respectively. The RCS showed a U-shaped nonlinear relationship( P for nonlinear less than 0.001) between NPAR and AKI after adjusting for potential confounding factors. RCS indicated the NPAR of 1.77 was the lowest risk for AKI. When NPAR less than 1.77, per 1-standard deviation(SD) increase in NPAR, the risk of AKI decreased by 23.2%( OR=0.768, 95% CI: 0.687, 0.859). Conversely, when NPAR above 1.77, per one SD increase in NPAR, the risk of AKI increased by 25.9%( OR=1.259, 95% CI: 1.166, 1.36). Conclusion:A U-shaped relationship between NPAR and AKI after cardiac surgery was shown. The appropriate value for NPAR might be 1.77. The risk of AKI might be increased, when less or above this value. NPAR might be used as an effective and economical tool to identify AKI risk among individuals with cardiac surgery, as well as to formulate individualized prevention and intervention strategy.