Extracellular vesicles (EVs) are pivotal mediators of intercellular communication within the tumor immune microenvironment (TME). They are broadly categorized into exosomes, microvesicles, and apoptotic bodies based on their distinct biogenesis pathways. Exosomes originate from the endosomal system via multivesicular body fusion, microvesicles bud directly from the plasma membrane, and apoptotic bodies are released during programmed cell death. By shuttling diverse bioactive cargoes—including proteins, lipids, and nucleic acids such as mRNA, miRNA, and DNA—EVs exert dual modulatory effects on tumor initiation, progression, and immune evasion. Importantly, EVs exhibit remarkable compositional heterogeneity that is intrinsically linked to their cellular origin. Tumor-derived EVs (TDEVs) are typically enriched with immunosuppressive molecules like PD-L1, TGF‑β, and miR-21, which promote tumor immune escape and metastasis. In contrast, EVs derived from immune cells, such as dendritic cells or cytotoxic T lymphocytes, often carry immunostimulatory components including antigens, co-stimulatory molecules, and granzymes, thereby potentiating anti-tumor immunity. This review systematically delineates the biogenesis and molecular composition of EVs, with a particular emphasis on their dynamic regulatory functions within the TME. Specifically, we discuss how EVs mediate intricate crosstalk between immune and tumor cells, facilitating signal transfer that reshapes immune surveillance. For instance, TDEVs can induce macrophage polarization toward an M2-like pro-tumor phenotype, while also suppressing natural killer cell cytotoxicity and dendritic cell maturation. The clinical utility of EV-associated biomarkers in liquid biopsy is increasingly recognized. Circulating EVs carry tumor-specific molecular signatures that mirror the genetic and proteomic alterations of primary tumors, enabling non-invasive early diagnosis, molecular subtyping, and real-time monitoring of therapeutic responses. Their natural biocompatibility, low immunogenicity, and intrinsic ability to traverse biological barriers make them ideal candidates for drug delivery systems. This review explores cutting-edge applications, including the use of EVs in immune checkpoint blockade therapy—for instance, engineered EVs displaying anti-PD-1 antibodies or carrying siRNA to silence immunosuppressive genes. Moreover, EV-based tumor vaccines are being developed, leveraging dendritic cell-derived EVs loaded with tumor antigens to elicit potent T cell responses. The feasibility of loading EVs with therapeutic molecules such as chemotherapeutic agents, oncolytic viruses, or CRISPR-Cas9 components is also under active investigation. The advent of engineered EVs has further expanded their therapeutic potential. Through surface modification or cargo encapsulation, EVs can be tailored for targeted delivery and controlled release, enhancing precision immunotherapy. However, several hurdles impede clinical translation. Current isolation and purification methods, such as ultracentrifugation and size-exclusion chromatography, suffer from low yield and purity. Distinguishing EV subpopulations remains technically challenging due to overlapping size and marker expression. Moreover, the lack of standardized protocols for EV production, characterization, and quality control poses significant barriers to regulatory approval and clinical adoption. Looking forward, the convergence of multi-omics technologies with artificial intelligence offers a powerful approach to decipher EV heterogeneity and identify robust diagnostic signatures. Machine learning algorithms can integrate proteomic, transcriptomic, and lipidomic data from large patient cohorts to construct predictive models for cancer diagnosis and prognosis. Concurrently, advances in bioengineering are enabling the design of next-generation EVs with enhanced targeting specificity, on-demand drug release, and reduced off-target effects. Future efforts should also focus on establishing good manufacturing practice (GMP)‑compliant production processes and conducting rigorous preclinical and clinical evaluations. In summary, this review provides a comprehensive overview of EV biology, their multifaceted roles in the TME, and their transformative potential in cancer diagnostics and therapeutics. By addressing current challenges and leveraging emerging technologies, EV-based strategies are poised to revolutionize precision oncology.

BACKGROUND:Human periodontal ligament stem cells are potential functional cells for periodontal tissue engineering.However,long-term in vitro culture may lead to reduced stemness and replicative senescence of periodontal ligament stem cells,which may impair the therapeutic effect of human periodontal ligament stem cells. OBJECTIVE:To investigate the effect of oxymatrine on the stemness maintenance and osteogenic differentiation of periodontal ligament stem cells in vitro,and to explore the potential mechanism. METHODS:Periodontal ligament stem cells were isolated from human periodontal ligament tissues by tissue explant enzyme digestion and cultured.The surface markers of mesenchymal cells were identified by flow cytometry.Periodontal ligament stem cells were incubated with 0,2.5,5,and 10 μg/mL oxymatrine.The effect of oxymatrine on the proliferation activity of periodontal ligament stem cells was detected by CCK8 assay.The appropriate drug concentration for subsequent experiments was screened.Western blot assay was used to detect the expression of stem cell non-specific proteins SOX2 and OCT4 in periodontal ligament stem cells.qRT-PCR and western blot assay were used to detect the expression levels of related osteogenic genes and proteins in periodontal ligament stem cells. RESULTS AND CONCLUSION:(1)The results of CCK8 assay showed that 2.5 μg/mL oxymatrine significantly enhanced the proliferative activity of periodontal stem cells,and the subsequent experiment selected 2.5 μg/mL oxymatrine to intervene.(2)Compared with the blank control group,the protein expression level of SOX2,a stem marker of periodontal ligament stem cells in the oxymatrine group did not change significantly(P>0.05),and the expression of OCT4 was significantly up-regulated(P<0.05).(3)Compared with the osteogenic induction group,the osteogenic genes ALP,RUNX2 mRNA expression and their osteogenic associated protein ALP protein expression of periodontal ligament stem cells were significantly down-regulated in the oxymatrine+osteogenic induction group(P<0.05).(4)The oxymatrine up-regulated the expression of stemness markers of periodontal ligament stem cells and inhibited the bone differentiation of periodontal ligament stem cells,and the results of high-throughput sequencing showed that it may be associated with WNT2,WNT16,COMP,and BMP6.

Nonalcoholic steatohepatitis(NASH)is a chronic metabolic disease characterized by hepatocyte fatty degeneration and ballooning degeneration,and it plays an important role in the progression of hepatic steatosis.Recent studies have shown that immune homeostasis imbalance between T helper 17(Th17)and regulatory T(Treg)cells are closely associated with the pathological process of NASH.Transforming growth factor-β1(TGF-β1)is a key cytokine for regulating the differentiation and proliferation of Th17/Treg cells,and TGF-β1 binds to its receptor and activates the Smad signaling pathway,thereby regulating the immune balance of Th17/Treg cells and the expression of inflammatory factors and participating in the repair of liver inflammation.This article systematically reviews the molecular mechanism of the TGF-β1/Smad signaling pathway in affecting NASH by regulating the immune balance of Th17/Treg cells,in order to provide a theoretical basis for the research on the pathogenesis of NASH and related treatment strategies.

Objective To analyze the distribution characteristics of 13 common respiratory pathogens in children in Zibo area from 2020 to 2022.Methods A total of 3091 hospitalized children with respiratory infections admitted to Zibo Maternal and Child Health Hospital from January 2020 to December 2022 were selected as the subjects.Throat swabs or bronchoalveolar lavage fluid samples were collected from the patients,and 13 common respiratory pathogens were tested to analyze the distribution differences among different genders,ages,and seasons.Results Among 3091 pediatric patients,1794 were found to be infected with pathogens.The top three pathogens were Mycoplasma pneumoniae,rhinovirus,and respiratory syncytial virus(RSV).The single infection rate was 47.75％,while the mixed infection rate was 10.28％,with the most common scenario being a mixed infection of two pathogens.There were statistically significant differences in the pathogen profiles across different age groups(P＜0.001):infants had the highest detection rate of RSV,young children were primarily infected with rhinovirus,preschool and school-age children were predominantly infected with Mycoplasma pneumoniae.Seasonal distribution showed that the highest positive rate was in autumn,while the lowest was in spring(P＜0.05).In spring,the main pathogens were rhinovirus and Mycoplasma pneumoniae;in summer,they were rhinovirus and parainfluenza virus;in autumn,they were Mycoplasma pneumoniae and RSV;and in winter,the detection rates of Mycoplasma pneumoniae and influenza B virus were higher.Conclusion From 2020 to 2022,Mycoplasma pneumoniae,rhinovirus and RSV were the main pathogens of children's respiratory tract infection in Zibo area,and there were significant differences in the distribution of pathogens among different ages and seasons.

Objective To investigate the current status of family resilience of children with cancer and analyze its influencing factors,to provide a basis for medical staff to formulate intervention plans.Methods Using a convenient sampling method,children with cancer who were hospitalized in 2 tertiary hospitals in Henan Province from January to April 2024 were selected for the survey.A general information questionnaire,family resilience assessment scale,quality of life family version,ZBI caregiver burden interview,and social support rating scale were used to understand the current status of family resilience of children with cancer and to explore the related influencing factors by univariate analysis and multiple stepwise linear regression analysis.Results A total of 280 questionnaires were distributed and 265 valid questionnaires were recovered,with a valid questionnaire recovery rate of 94.64％.The total score of family resilience for primary caregivers of children with cancer was(185.63±30.66).The multiple stepwise linear regression analysis results showed that the children's self-care ability,caregiver's work status,family care burden,and social support level were the influencing factors for family resilience of children with cancer(P＜0.05),and the explanatory variance was 51.3％.Conclusion The family resilience of children with cancer is at a medium level.The worse the children's self-care ability and the heavier the family care burden,the worse the family resilience;the caregiver's work status and good social support are helpful for the family resilience of children with cancer.Healthcare workers should develop intervention programs to address these factors to enhance the family resilience of children with cancer.

Objective To investigate the antimicrobial resistance patterns of carbapenem-resistant Klebsiella pneumoniae(CRKP)strains isolated from children for better prevention,treatment,and control of CRKP infections in children.Methods A total of 182 clinical CRKP strains were collected between January 2018 and December 2020 in Hebei Children's Hospital.All CRKP strains were identified by matrix-assisted laser desorption ionization-time of flight(MALDI-TOF)mass spectrometry.The common carbapenemase genes(blaKPC,blaNDM,blaIMP,blaVIM,blaOXA-48)of CRKP isolates were studied by PCR.Multilocus sequence typing(MLST)was performed for homology analysis.Results The 182 children infected with CRKP were mainly infants(＞28 days to＜1 years),accounting for 49.45％(90/182),followed by newborns(≤28 days),accounting for 36.26％(66/182).The main source of the 182 CRKP isolates was sputum(50.55％,92/182),blood(15.93％,29/182),and urine(13.19％,24/182).The strains were mainly isolated from patients in neonatology(30.22％,55/182),general surgery(21.43％,39/182),cardiac surgery(13.19％,24/182),and intensive care unit(11.54％,21/182).Antimicrobial susceptibility testing showed that all of the 182 CRKP strains were resistant to cefepime,ceftazidime,piperacillin-tazobactam,and cefoperazone-sulbactam(100％).Overall,97.8％,71.4％,81.9％,75.8％,69.2％,and 2.7％of the strains were resistant to aztreonam,amikacin,ciprofloxacin,levofloxacin,doxycycline,and tigecycline,respectively.The prevalence of carbapenemase gene blaKPC-2 was the highest(73.63％,134/182),followed by blaNDM-5(15.38％,28/182),and blaNDM-1(11.54％,21/182).A total of 15 different sequence types(ST)were identified by MLST,of which ST11 was the most common type(72.53％,132/182),followed by ST17(11.54％,21/182).Conclusions CRKP isolates in Hebei Children's Hospital showed high level resistance to antimicrobial agents.Antimicrobial therapy should be prescribed cautiously according to the results of antimicrobial susceptibility testing to avoid the emergence of resistant strains.KPC-2-producing ST1 1 type CRKP strains may be prevalent in this hospital.Effective control measures should be taken to avoid further spread of such CRKP strains.

Numerous studies have shown that depression is main-ly associated with the abnormal expression of connexin 43(Cx43)in astrocytes(Astro)and its mediated dysfunction of gap junction(GJ).However,the molecular mechanism of post-translational modifications targeting Cx43 to regulate neuroin-flammation-associated depression is still unclear.Post-transla-tional modifications of Cx43 mainly include phosphorylation of specific amino acid sites by PKC,PKA,PKG,MAPK and PTK,and protein degradation of Cx43 through the K48/K63 polyubiq-uitylation and deubiquitination pathways,which ultimately lead to protein degradation through K48/K63 polyubiquitination and deubiquitination.These modifications are ultimately involved in the regulation of neuroinflammatory responses through the associ-ation of GJ function.In this paper,we systematically review the role of Cx43 post-translational modifications in neuroinflamma-tion,with the aim of further exploring the potential application of targeting these modifications to modulate the inflammatory re-sponse mechanism in improving depressive symptoms.

Objective To explore the risk factors for 28-day mortality of sepsis-associated acute kidney injury(SA-AKI)patients and to develop a nomogram risk prediction model.Methods A retrospective cohort study was conducted,involving 184 patients with SA-AKI admitted to the intensive care unit(ICU)of the 940th Hospital of Joint Logistic Support Force of PLA between January 2017 and December 2022.Patients were categorized into survival(n=135)and non-survival(n=49)groups based on 28-day mortality.Clinical data were collected,and statistically significant risk factors were preliminarily screened.Multivariate stepwise logistic regression analysis was performed to identify independent risk factors for 28-day mortality of SA-AKI patients.A nomogram predictive model was constructed using these factors,and internally validated with the Bootstrap method.The receiver operating characteristic curve(ROC curve)was drawn,and the area under the ROC curve(AUC)was calculated to verify the predictive value and accuracy of the model.Results The 28-day mortality rate among 184 SA-AKI patients was 26.6％(49/184).Multivariate stepwise logistic regression analysis identified multiple organ dysfunction syndrome(MODS)(OR=16.393,95％CI 4.317-62.254,P＜0.001),high acute physiology and chronic health evaluation Ⅱ(APACHE Ⅱ)score(OR=1.097,95％CI 1.036-1.161,P=0.002),low oxygenation index(OR=0.992,95％CI 0.986-0.998,P=0.015),low neutrophil count(OR=0.912,95％CI 0.860-0.968,P=0.002)and low fibrinogen concentration(OR=0.733,95％CI 0.549-0.978,P=0.034)as independent risk factors.The prediction model equation was P=1/1+e-logit(P),logit(P)=-1.626+2.797×MODS+0.092×AP ACHE Ⅱ+(-0.311)×fibrinogen+(-0.092)×neutrophil count+(-0.008)×oxygenation index.Internal validation with 1000 Bootstrap resamples showed high consistency between predicted and actual values.ROC analysis showed an AUC of 0.911(95％CI 0.868-0.955,P＜0.05)for the model,with 93.9％sensitivity and 78.5％specificity at a cut-off of 0.194.The Hosmer-Lemeshow test confirmed good calibration(P=0.62),and decision-making curve analysis demonstrated clinical utility within the high-risk threshold range(0.1-0.9).Conclusions MODS,high APACHE Ⅱ score,low oxygenation index,low neutrophil count,and low fibrinogen concentration are independent risk factors for 28-day mortality in SA-AKI patients.The developed nomogram risk prediction model may provide important guidance for predicting 28-day mortality in SA-AKI patients.

Objective To establish a stable,reliable,and clinically relevant porcine model of endotoxin-induced acute respiratory distress syndrome(ARDS).Methods Ten 8-month-old male Bama minipigs were deeply sedated,followed by invasive mechanical ventilation and electrocardiographic monitoring.Lipopolysaccharide(LPS)was intravenously pumped at 600 μg/(kg·h)for 3 hours,then maintained at 15 μg/(kg·h)thereafter.Dynamic monitoring was performed at five time points after LPS injection(LPS 0,1,3,5,and 8 h),including arterial blood gas analysis and chest computed tomography(CT)scans.Pathological examination of lung tissues obtained via bronchoscopic biopsy(HE staining and transmission electron microscopy)was conducted.These indicators were comprehensively used to evaluate the success of the animal model.Results At 5 hours after LPS administration,8 minipigs developed symptoms such as skin cyanosis,elevated body temperature,and respiratory distress.The oxygenation index decreased to<300 mmHg.Chest CT scans showed diffuse pulmonary infiltrates.Histopathology revealed alveolar edema and hyaline membrane formation.Transmission electron microscopy demonstrated disruption of pulmonary blood-air barrier,depletion of lamellar bodies in type Ⅱ pneumocytes,inflammatory cell infiltration,and exudation of plasma proteins and fibrin.Compared with LPS 0 h,at LPS 8 h,the oxygenation index and arterial blood pH were significantly decreased(P<0.001),while blood lactic acid and serum potassium were significantly increased(P<0.05);serum calcium and base excess were significantly decreased(P<0.05),and the lung injury score based on HE-stained lung sections was significantly increased(P<0.01).Conclusion The porcine ARDS model established by continuous LPS injection can dynamically simulate the pathophysiological characteristics and typical pathological manifestations of clinical septic ARDS,making it an effective tool to study the pathogenesis,prevention,and treatment strategies of septic ARDS.

Objective To explore the impact of polymorphisms in the solute carrier organic anion transporter family member 1B1(SLCO1B1)and apolipoprotein E(APOE)genes on statins selection and prognosis in patients after percutaneous coronary intervention(PCI).Methods This retrospective study enrolled 612 patients with coronary heart disease hospitalized in Tianjin Beichen Hospital from January 2021 to February 2023.Among them,411 patients who underwent PCI were assigned to PCI group,and 201 patients who did not undergo PCI were assigned to non-PCI group.According to treatment methods,PCI group was further divided into two subgroups:observation subgroup(n=305)and control subgroup(n=106).Non-PCI group was also divided into two subgroups:observation subgroup(n=147)and control subgroup(n=54).Patients in all observation subgroups underwent the detection of SLCO1B1 and APOE gene polymorphisms before medication,and an initial individualized treatment plan(including the selection of appropriate statins and dosages)was formulated based on the detection results.Patients in control subgroups were given statins at conventional dosages.Basic data before medication,post-medication lipid compliance rates[lipid intention-to-treat(ITT)compliance rate and lipid per-protocol analysis(PP)compliance rate],time to lipid compliance,liver function indicators before and after medication,and prognosis,as well as SLCO1B1 and APOE genotyping and allele frequency distribution were compared between observation subgroup and control subgroup.Conditional logistic regression was used to analyze the relationship between different genotypes and prognostic susceptibility.Multifactor dimensionality reduction(MDR)was applied to analyze the interaction between SLCO1B1 genotype and APOE genotype.Results All genotypes of SLCO1B1 and APOE genes in observation subgroups conformed to the Hardy-Weinberg genetic equilibrium test(P>0.05).Compared with control subgroups,the observation subgroups had significantly higher lipid PP compliance rates after 6 and 12 months of treatment.After 3 months of treatment,the number of completed cases and compliant cases in observation subgroups was significantly higher,and the time to lipid compliance was significantly shorter than that in control subgroups(P<0.05).Compared with before treatment,there were no significant changes in alanine aminotransferase(ALT)and creatine kinase isoenzyme(CK-MB)levels in either observation subgroups or control subgroups(P>0.05);the levels of total cholesterol(TC),triglycerides(TG),and low-density lipoprotein cholesterol(LDL-C)were significantly decreased(P<0.001),while high-density lipoprotein cholesterol(HDL-C)level was significantly increased(P<0.01).After 12 months of treatment,the aspartate aminotransferase(AST)level in observation subgroups was significantly lower than that before medication and also lower than that in the corresponding control subgroups(P<0.05).Within PCI group:there were 1 case and 5 cases of myocardial infarction,2 cases and 6 cases of target vessel revascularization,0 cases and 3 cases of stroke,0 cases and 7 cases of recurrent angina pectoris,1 case and 5 cases of readmission in observation subgroup and control subgroup,respectively.There were statistically significant differences between observation subgroup and control subgroup(P<0.05).Within non-PCI group:there were 0 cases and 3 cases of cardiogenic death,2 cases and 6 cases of myocardial infarction,2 cases and 5 cases of target vessel revascularization,0 cases and 4 cases of stroke,0 cases and 8 cases of recurrent angina pectoris,and 2 cases and 4 cases of readmission in observation subgroup and control subgroups,respectively,with statistically significant differences between the two subgroups(P<0.05).In the recessive model,SLCO1B1 and APOE genes were significantly correlated with prognosis in both PCI observation subgroup and non-PCI observation subgroup(P<0.05).MDR analysis of the interaction between SLCO1B1 genotype and APOE genotype in PCI observation subgroup and non-PCI observation subgroup showed that there was a significant interaction between the genotypes,which was closely related to prognosis(P<0.05).Conclusion Individualized statin treatment regimens based on the detection of SLCO1B1 and APOE gene polymorphisms can improve the lipid compliance rate,shorten the time to lipid compliance,and improve the prognosis of patients after PCI.