Objective: To investigate the prevalence and influencing factors of the co-occurrence of elevated blood pressure and depressive symptoms among junior and senior high school students in Anhui Province, so as to provide evidence for comprehensive interventions on physical and mental health among adolescents. Methods: From September to December 2024, a multi stage random cluster sampling method was used to select 103 225 junior and senior high school students from 16 prefecture level cities in Anhui Province. Data were collected through questionnaire surveys and physical measurements. Elevated blood pressure was determined according to the Reference of Screening for Elevated Blood Pressure among Children and Adolescents Aged 7-18 Years. Depressive symptoms among middle school students were assessed using the Center for Epidemiologic Studies Depression Scale (CES-D). Chi-square test, Chi-square test for trend, and multivariate Logistic regression model were used to analyze the risk factors for the co-occurrence of elevated blood pressure and depressive symptoms. Results: The detection rate of elevated blood pressure was 15.22%, the detection rate of depressive symptoms was 18.56%, and the co-occurrence rate of the two conditions was 2.67% among junior and senior high school students. Multivariate Logistic regression analysis showed that after controlling for gender, school stage, household registration, and overweight and obesity status,compared with those who don t drink sugary drink and eat fried food, and get enough sleep, sugar sweetened beverage intake <1 and ≥1 time/d( OR =1.28,1.61), fried food consumption ≥1 time/d( OR =1.37), and insufficient sleep ( OR =1.54) were all associated with an increased risk of the co-occurrence of elevated blood pressure and depressive symptoms(all P <0.05). Daily fresh vegetable intake ≥1 time/d( OR =0.78) and fresh fruit intake ≥1 time/d( OR =0.85) were both associated with a decreased risk of the co-occurrence(both P <0.05). Compared with students who did not eat breakfast, students who ate breakfast sometimes and every day ( OR =0.62,0.36) had a lower co-occurrence risk(both P < 0.05). Junior and senior high school students with daily outdoor activity duration≥1 h ( OR =0.81) had a lower risk of the co-occurrence of elevated blood pressure and depressive symptoms ( P <0.05). Conclusions Sugar sweetened beverage drink and fried food consumption, inadequate consumption of fresh vegetables, fruits and breakfast, lack of outdoor activity, and insufficient sleep are risk factors for the co-occurrence of elevated blood pressure and depressive symptoms among junior and senior high school students in Anhui Province. It is necessary to establish school health promotion strategies integrating nutrition, exercise and sleep management as intervention targets to reduce the co-occurrence risk of elevated blood pressure and depressive symptoms among junior and senior high school students.

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.

ObjectiveTo construct a risk prediction model for frequent acute exacerbations of chronic obstructive pulmonary disease （COPD） under disease-syndrome combination， thus providing decision support for precise clinical intervention. MethodsA total of 2 029 patients with acute exacerbations of COPD admitted to the First Affiliated Hospital of Anhui University of Chinese Medicine from January 2020 to August 2024 were retrospectively included. These patients were classified into groups of frequent acute exacerbations （≥2 times/year） and infrequent acute exacerbations （<2 times/year） according to the hospitalization times per year. Risk factors were screened by LASSO regression combined with logistic regression， and a nomogram model was constructed. The model performance was assessed based on the area under the curve （AUC）， calibration curves， and decision curve analysis （DCA）. ResultsThe differences in baseline characteristics between the frequent acute exacerbations group （1 196 cases） and infrequent acute exacerbations group （833 cases） were not statistically significant. LASSO regression combined with multivariate logistic regression screened the following independent risk factors： body mass index （BMI）， hospitalization days， number of smoking years， place of residence， use of noninvasive ventilators， oxygen-demanding therapy， liver cirrhosis， use of systemic glucocorticosteroids， and traditional Chinese medicine syndrome （phlegm and stasis obstructing the lung）. The nomogram model showed good discrimination and calibration in both the training set （AUC=0.748） and validation set （AUC=0.774）. ConclusionThe risk prediction model for frequent acute exacerbations of COPD， integrating traditional Chinese medicine syndrome， constructed in this study has high accuracy. It can provide a scientific basis for early clinical identification of high-risk patients and individualized intervention.

Caffeic acid (CA) is a naturally occurring phenolic compound known for its strong antioxidant and cytoprotective properties.Particulate matter (PM) with an aerodynamic diameter of 2.5 μm (PM2.5) or less is a major atmospheric pollutant that induces excessive oxidative stress and apoptosis in human skin cells, contributing to various adverse effects on the skin. In this study, we investigated the protective role of CA against PM2.5-induced cellular injury in human HaCaT keratinocytes. CA reduced PM2.5-induced reactive oxygen species (ROS) accumulation and mitigated oxidative damage, including lipid peroxidation, protein carbonyl formation, mitochondrial membrane depolarization, and intracellular calcium overload. In addition, CA attenuated PM2.5-induced apoptosis by upregulating B-cell lymphoma 2 (Bcl-2) and suppressing Bcl-2-associated X protein (Bax), caspase-3, caspase-9, and phosphorylated c-Jun N-terminal kinase (phospho-JNK). Collectively, these findings demonstrate that CA protects HaCaT keratinocytes from PM2.5-induced oxidative stress and apoptosis by regulating the Bcl-2/Bax axis and inhibiting JNK-mediated apoptotic signaling, highlighting its potential as a therapeutic candidate for preventing pollutant-induced skin damage.

Objective This study conducted molecular biological identification of the viruses carried by Culex pipiens pallens specimens collected in Shunyi District, Beijing in 2023, and observed the changes in the infection rate of the viruses carried by Cx. pipiens pallens at different collection times. Methods Cx. pipiens pallens were collected using carbon dioxide mosquito traps. The mosquito samples were ground in batches and analyzed by molecular biology technologies. The virus infection rate at different collection times was analyzed statistically. Results 17 strains of Culex pipiens pallens densovirus(CppDNV)were identified from Cx. pipiens pallens samples collected in Shunyi District, Beijing, in 2023. The nucleotide sequence analysis of the virus genome coding region showed that CppDNV was a single-stranded DNA virus with a total length of 3 335 nt, encoding 2 non-structural proteins(NS1, NS2)and 1 capsid protein(VP). The nucleotide(amino acid)sequence lengths of the three proteins were 2 376 nt(791 aa),1 092 nt(363 aa)and 1 071 nt(356 aa), respectively. Phylogenetic analysis showed that CppDNV was located in genus Brevihamaparvovirus. Statistical analysis showed no significant difference in infection rates across collection times(χ2=4.429, P=0.194). Conclusions CppDNV was identified in Cx. pipiens pallens in Beijing, and it was stably maintained in this natural population.

Metabolic associated fatty liver disease （MAFLD） is the most prevalent chronic liver disease worldwide， and its progression is closely associated with the development of liver fibrosis， liver cirrhosis， and even hepatocellular carcinoma. However， there is still a lack of effective therapies for MAFLD in clinical practice. Telomere is the protective structure at the end of chromosomes， and telomere shortening and functional impairment have been identified as one of the key factors regulating the pathological progression of MAFLD. This article systematically reviews the core mechanism of action of telomere regulation in MAFLD， including its molecular functions in nucleotide metabolism， oxidative stress， and epigenetic regulation， as well as its pathological effect in hepatocytes and hepatic stellate cells. In addition， this article explores the clinical prospects of telomeres as biomarkers and therapeutic targets for MAFLD， in order to provide a theoretical reference for improving the precise diagnosis and treatment system of MAFLD.

ObjectiveTo investigate the current status of ethical sensitivity among clinical nursing interns in the context of artificial intelligence （AI） and analyze its influencing factors. MethodsAdopting mixed research methods and convenience sampling， a total of 237 nursing interns from a tertiary A hospital in Xi’an were selected as research subjects. Data were collected using a general information questionnaire and the Nursing Students’ Ethical Sensitivity Scale， and semi-structured interviews were conducted with 8 nursing interns. ResultsThe total score of ethical sensitivity among nursing interns was （33.98±6.32）， which was at a moderate level. Multiple linear regression analysis revealed that academic degree （undergraduate： β=0.147， P<0.05； postgraduate： β=0.139， P<0.05）， affinity for the nursing profession （β=0.118， P<0.05）， whether they had taken nursing ethics courses （β=-0.124， P<0.05）， and familiarity with artificial intelligence （β=-0.159，P<0.05） were influencing factors of ethical sensitivity among nursing interns. Four themes were extracted from semi-structured interviews， namely， the incomplete mastery of nursing ethics-related knowledge among nursing interns， weakened ethical sensitivity in the AI teaching scenario of nursing interns， insufficient professional identity affecting the development of nursing interns’ ethical sensitivity， and technological dependence leading to the lack of humanistic care among nursing interns. ConclusionEthical sensitivity of nursing interns represents a moderate level， primarily influenced by educational background， degree of fondness for the nursing profession， learning experience of nursing ethics courses， and familiarity with AI. Nursing educators and clinical administrators urgently need to establish a sustainable school-hospital collaborative model of nursing ethics education， attach importance to the cultivation of ethical awareness and value guidance for nursing interns， and strengthen the intensity and depth of nursing ethics education among nursing interns， thereby improving their level of ethical sensitivity in the context of AI.

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.

This study aims to investigate the therapeutic effect and mechanism of Daotan Xixin Decoction on APP/PS1 mice. Twelve APP/PS1 male mice were randomized into four groups: APP/PS1 and low-, medium-, and high-dose Daotan Xixin Decoction. Three C57BL/6 wild-type mice were used as the control group. The learning and memory abilities of mice in each group were examined by the Morris water maze test. The pathological changes of hippocampal nerve cells were observed by hematoxylin-eosin staining and Nissl staining. Immunohistochemistry was employed to detect the expression of β-amyloid(Aβ)_(1-42) in the hippocampal tissue. The high-dose Daotan Xixin Decoction group with significant therapeutic effects and the model group were selected for high-throughput sequencing. The differentially expressed gene(DEG) analysis, Gene Ontology(GO) analysis, Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis, and Gene Set Variation Analysis(GSVA) were performed on the sequencing results. RT-qPCR and Western blot were conducted to determine the mRNA and protein levels, respectively, of some DEGs. Compared with the APP/PS1 group, Daotan Xixin Decoction at different doses significantly improved the learning and memory abilities of APP/PS1 mice, ameliorated the neuropathological damage in the CA1 region of the hippocampus, increased the number of neurons, and decreased the deposition of Aβ_(1-42) in the brain. A total of 1 240 DEGs were screened out, including 634 genes with up-regulated expression and 606 genes with down-regulated expression. The GO analysis predicted the biological processes including RNA splicing and protein folding, the cellular components including spliceosome complexes and nuclear spots, and the molecular functions including unfolded protein binding and heat shock protein binding. The KEGG pathway enrichment analysis revealed the involvement of neurodegenerative disease pathways, amyotrophic lateral sclerosis, and splicing complexes. Further GSVA pathway enrichment analysis showed that the down-regulated pathways involved nuclear factor-κB(NF-κB)-mediated tumor necrosis factor-α(TNF-α) signaling pathway, UV response, and unfolded protein response, while the up-regulated pathways involved the Wnt/β-catenin signaling pathway. The results of RT-qPCR and Western blot showed that compared with the APP/PS1 group, Daotan Xixin Decoction at different doses down-regulated the mRNA and protein levels of signal transducer and activator of transcription 3(STAT3), NF-κB, and interleukin-6(IL-6) in the hippocampus. In conclusion, Daotan Xixin Decoction can improve the learning and memory abilities of APP/PS1 mice by regulating the STAT3/NF-κB/IL-6 signaling pathway.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Male ; Alzheimer Disease/metabolism* ; Computational Biology ; Mice, Inbred C57BL ; High-Throughput Nucleotide Sequencing ; Amyloid beta-Protein Precursor/metabolism* ; Hippocampus/metabolism* ; Mice, Transgenic ; Presenilin-1/metabolism* ; Humans ; Memory/drug effects* ; Maze Learning/drug effects* ; Amyloid beta-Peptides/genetics* ; Disease Models, Animal

Blood heat syndrome, one of the main subtypes of blood syndrome in traditional Chinese medicine(TCM), is mainly diagnosed by bleeding and heat manifestations and treated by the blood-cooling method. The biological essence of blood heat syndrome has not been elucidated yet, and there is a lack of systematic research on the potential mechanisms underlying the blood-cooling method. The biological essence of blood heat syndrome is closely related to abnormal immune response, oxidative stress, coagulation dysfunction, endocrine disorders, abnormalities in energy metabolism and so on. Blood heat syndrome is common in autoimmune skin diseases( such as systemic lupus erythematosus, psoriasis, and purpura), central hyperthermia, infectious diseases( such as infectious mononucleosis and COVID-19), and hemorrhagic diseases in gynecology. As the primary clinical therapy for blood heat syndrome, blood-cooling TCM is usually combined with the TCM with effects of activating blood and resolving stasis, nourishing Yin,and extinguishing wind to play the role of cooling blood. The mechanisms of above therapies may be attributed to reducing inflammation, inhibiting oxidative stress, restoring the balance of blood coagulation and metabolism, regulating the secretion of sex hormones, and alleviating allergic reactions. This article systematically explores the biological essence of blood heat syndrome and elucidates the targets and underlying mechanism of the blood-cooling method, laying a scientific foundation for the clinical application of TCM in the prevention and treatment of diseases associated with blood heat syndrome.
Humans ; Medicine, Chinese Traditional/methods* ; Hyperthermia/diagnosis* ; Drugs, Chinese Herbal/therapeutic use* ; Syndrome