BACKGROUND:Exosomes,as a type of extracellular vesicle,have become a key medium for cell-to-cell communication due to their nanoscale size and enrichment of various bioactive substances.The study of exosome secretion regulation not only has important scientific value,but also has broad application prospects in clinical practice,and is of great significance for promoting medical progress and improving human health.OBJECTIVE:To review the biological characteristics,biological functions,biogenesis process and biochemical regulation mechanism of exosomes,and to explore the application prospects of exosomes in disease diagnosis,treatment and vaccine development,so as to provide theoretical basis and reference for basic research and clinical transformation of exosomes.METHODS:The first author searched PubMed and CNKI databases in October 2024 for relevant literature published from January 2010 to October 2024.Key words were"exosomes,biological functions,biogenesis,secretion or release,regulatory mechanisms,application prospects"in Chinese and English.Finally,92 articles were included for analysis.RESULTS AND CONCLUSION:The secretion level of exosomes can be regulated through physical or biochemical means.Exosomes show broad application prospects in the fields of disease diagnosis,treatment,and vaccine development,and may play a key role in the treatment of cardiovascular and cerebrovascular diseases as well as cancer.This review provides valuable information for the clinical translation and application research of exosomes,helping to promote future progress in exosome research and application.

BACKGROUND:Exosomes,as a type of extracellular vesicle,have become a key medium for cell-to-cell communication due to their nanoscale size and enrichment of various bioactive substances.The study of exosome secretion regulation not only has important scientific value,but also has broad application prospects in clinical practice,and is of great significance for promoting medical progress and improving human health.OBJECTIVE:To review the biological characteristics,biological functions,biogenesis process and biochemical regulation mechanism of exosomes,and to explore the application prospects of exosomes in disease diagnosis,treatment and vaccine development,so as to provide theoretical basis and reference for basic research and clinical transformation of exosomes.METHODS:The first author searched PubMed and CNKI databases in October 2024 for relevant literature published from January 2010 to October 2024.Key words were"exosomes,biological functions,biogenesis,secretion or release,regulatory mechanisms,application prospects"in Chinese and English.Finally,92 articles were included for analysis.RESULTS AND CONCLUSION:The secretion level of exosomes can be regulated through physical or biochemical means.Exosomes show broad application prospects in the fields of disease diagnosis,treatment,and vaccine development,and may play a key role in the treatment of cardiovascular and cerebrovascular diseases as well as cancer.This review provides valuable information for the clinical translation and application research of exosomes,helping to promote future progress in exosome research and application.

In recent years, remarkable advances have been made in lung transplantation regarding donor evaluation, perioperative support, and immune regulation, laying a foundation for improving the long-term survival of recipients. The rational application of extended criteria donor lungs and the popularization of ex vivo lung perfusion technology have enhanced the utilization efficiency and safety of marginal donor lungs. Refined assessment of risk factors such as donors’ smoking history and infectious status has reduced the incidence of primary graft dysfunction and postoperative infection. In terms of recipient management, individualized assessment systems have been gradually optimized. The standardized application of intraoperative extracorporeal membrane oxygenation and the development of minimally invasive surgical techniques have effectively alleviated perioperative injuries. The optimization of postoperative immunosuppressive regimens and advances in rejection monitoring technologies have further improved the long-term survival of grafts. Nevertheless, chronic graft dysfunction and recurrent or refractory infections remain the major bottlenecks restricting long-term prognosis. Future research should focus on expanding donor sources, improving the repair quality of marginal donor lungs, promoting precise immunosuppression and anti-infection strategies, and comprehensively enhancing the long-term survival rate and quality of life of lung transplant recipients.

Renal fibrosis is the common pathological endpoint of many forms of chronic kidney disease (CKD), yet the mechanisms determining effective repair versus persistent fibrotic remodeling remain incompletely understood. Peritubular capillaries (PTCs) are not merely passive targets of fibrotic injury, but form a dynamic vascular microenvironment linking regional perfusion, oxygen delivery, tubular metabolism, endothelial barrier integrity, pericyte support, immune-cell trafficking, and extracellular matrix (ECM) remodeling. We propose that PTC abnormalities should not be interpreted simply as reduced capillary density, but as a multidimensional disturbance of microvascular structure and function. Structural vascular preservation does not necessarily indicate effective microcirculation: anatomically detectable capillaries may still exhibit impaired perfusion, barrier dysfunction, abnormal endothelial-pericyte interactions, disturbed oxygen metabolism, or reduced network connectivity. Conversely, increased angiogenesis does not necessarily signify successful vascular repair if vessels remain immature, poorly perfused, or inadequately integrated into the existing network. To organize these abnormalities, we conceptualize PTC remodeling into four predominant but nonexclusive states: endothelial barrier disruption with inflammatory adhesion; endothelial-pericyte uncoupling with no-reflow; dysregulated angiogenesis with network simplification; and capillary rarefaction with fibrotic matrix locking. These states are not sequential stages of CKD. They may coexist within the same kidney, overlap within the same anatomical region, and vary with disease etiology, injury phase, vascular compartment, and treatment exposure. We further propose six dimensions for evaluating PTC status—structural presence, functional perfusion, barrier integrity, pericyte coupling, oxygen metabolism, and network connectivity—so that vascular quantity, function, and reparative capacity are assessed separately rather than inferred from a single endothelial marker or capillary-density measurement. Mechanistically, these states converge on a bidirectional microvascular-fibrotic feedback loop. Barrier disruption facilitates leukocyte recruitment and alters vascular paracrine signaling. Endothelial-pericyte uncoupling compromises capillary stability, whereas abnormal pericyte contraction may increase local vascular resistance and contribute to no-reflow before overt capillary loss. Dysregulated angiogenesis may generate vessels that fail to mature or connect to an effective perfusion network. Progressive capillary rarefaction compromises oxygen delivery, while sustained tubular transport demand and mitochondrial dysfunction may aggravate regional oxygen supply-demand mismatch. Injured tubules, immune cells, endothelial cells, pericytes, and fibroblasts communicate through soluble mediators, extracellular vesicles, direct cell contact, and cell-matrix signaling. Importantly, fibrosis is not merely a downstream consequence of microvascular injury. Altered ECM may increase diffusion distance, modify mechanotransduction, impair endothelial survival and migration, and restrict capillary reopening and regeneration. We use the term matrix locking to describe this sustained constraint on vascular repair, while emphasizing that current evidence does not establish irreversible disease in humans. This framework also has therapeutic implications. PTC-directed treatment should not be reduced to increasing vessel number or uniformly promoting angiogenesis. Instead, intervention should be matched to the dominant and potentially reversible abnormality: preserving endothelial barrier function; restoring endothelial-pericyte stability and reducing pathological microvascular resistance; normalizing angiogenesis so that vascular growth is accompanied by maturation, barrier competence, network integration, and effective perfusion; and, in advanced rarefaction, relieving matrix-related constraints while supporting vascular regeneration. The context- and time-dependent effects of signaling through VEGF, Tie2, PDGF-B/PDGFRβ, eNOS/NO, and related pathways indicate that the same molecular signal may exert different effects depending on disease context and timing. Therapeutic efficacy should therefore be evaluated by restoration of effective microcirculation and tissue function rather than by isolated molecular changes or capillary counts alone. Despite increasing mechanistic evidence, the translational basis for this framework remains limited. Most causal and interventional data derive from animal or cell models, whereas human evidence is largely limited to pathological observations, patient-sample associations, and prognostic studies. Currently available circulating and urinary candidate biomarkers generally lack sufficient specificity for PTC injury or state assignment, and no standardized quantitative thresholds have been externally validated. The four-state model should therefore be regarded as a hypothesis-generating analytical framework rather than a clinicopathological classification system. Future studies should integrate spatially resolved tissue phenotyping, blood and urine biomarkers, and dynamic microcirculatory assessment in longitudinal cohorts. They should test reproducibility, assess prognostic value beyond conventional pathology, estimated glomerular filtration rate, and proteinuria, and determine whether changes in PTC status precede or mediate therapeutic benefit. Linking reproducible microvascular phenotypes to defined mechanisms, treatment response, and long-term renal outcomes will be essential to determine whether state-directed assessment and restoration of the PTC microenvironment can ultimately inform patient stratification and therapeutic decision-making.

Objective To explore the sleep quality and mental fatigue level in elderly patients with cerebrovascular small disease(CSVD).Methods A total of 222 patients aged over 65 years old hospitalized due to chronic diseases in Department of Neurology of the Affiliated Jiangning Hospi-tal of Nanjing Medical University from August 2022 to June 2024 were recruited prospectively and continuously.According to the CSVD score,they were divided into a CSVD group(CSVD score≥1,148 cases)and a non-CSVD group(CSVD score=0,74 cases).All the patients were evaluated by sleep quality,fatigue and neuropsychological scale when they were fully cooperated and in good condition.Subsequently,the patients in the CSVD group were further assigned into a good sleep subgroup(117 cases)and a poor sleep subgroup(31 patients).Results The CSVD group had significantly higher total score of Pittsburgh sleep quality index(PSQI),sleep quality score,sleep disturbance score,total score of self-rating fatigue,and mental fatigue score than the non-CSVD group(P＜0.01).The sleep quality score,sleep disturbance score,and mental fatigue score were risk factors for CSVD(P＜0.05).The mental fatigue score was significantly higher in the CSVD patients with poor sleep than those with good sleep(4.13±1.15 vs 2.50±1.92,P＜0.01).Conclusion Elderly CSVD patients were more likely to have decreased sleep quality and mental fatigue,and among them,those with poor sleep quality are prone to having mental fatigue than those with good sleep.

Foodborne illnesses caused by Salmonella pose significant threats to worldwide public health safety.In this study,a rapid method for screening viable Salmonella in oyster sauce and milk was developed by utilizing an electronic microbial growth analyzer(EMGA).Target food samples were diluted 10-fold with RVS broth and loaded into test tubes.Test tubes were positioned in the EMGA to determine the bacterial growth curves and the time required to reach the maximum growth rate(Tmgr).Using Salmonella typhimurium(S.typhimurium)asan model species,there was linear relationship between the logarithmic value of viable bacterial concentration(lgC)and Tmgr over the range of 5×101-5×106 CFU/mL,with a detection limit of 10 CFU/mL.For oyster sauce,the regression equation was Tmgr(min)=-80.775lg[C/(CFU/mL)]+754.96(R2=0.9907),and the recovery rates of S.typhimurium ranged from 95.2%to 119.8%,with relative standard deviations(RSD)ranging from 3.5%to 16.3%.For milk,the regression equation was Tmgr(min)=-71.922 lg[C/(CFU/mL)]+618.65(R2=0.9985),with recovery rates ranging from 98.4%to 110.6%and RSD ranging from 6.4%to 12.8%.The EMGA method required only one portable instrument,and involving only three manual steps,i.e.,dilution,transfer,and insertion.When S.typhimurium contamination reached 106 CFU/mL,the total time consumption,from the unwrapping of samples to the readout of bacterial concentration,was no more than 7 h.When applied to detection of actual oyster sauce and milk samples,the new method demonstrated strong consistency with plate counting results in positive detection rates.This method was superior to the plate counting method,which was generally considered as a gold standard,in terms of accuracy,precision,simplicity and efficiency,representing a promising alternative for the on-site screening and quantification of viable Salmonella in oyster sauce and milk products.

Aim To explore the effects of high glucose on KIAA0753 and CCSAP and the relationship between KIAA0753 and CCSAP and osteogenic differentiation and calcium signaling pathway under high glucose con-ditions.Methods Mouse embryonic osteoblast pre-cursor cells(MC3T3-E1)were induced by osteoblast medium with glucose concentrations of 5.5 and 25 mmol·L-1,and the protein expressions of KIAA0753 and CCSAP were detected by Western blot.The over-expressed plasmid was transfected into human embry-onic kidney cells(HEK-293T),and the interaction between KIAA0753 and CCSAP was detected by co-im-munoprecipitation.MC3T3-E1 cells were treated in the osteogenic medium with different glucose concentrations and induction times.Alkaline phosphatase(ALP)ac-tivity was detected with a kit.The expression of KI-AA0753,CCSAP,osteopontin,osteocalcin,and other proteins were assessed using Western blot.and then 5.5,25 mmol·L-1,and 25 mmol·L-1+OE-CCSAP three groups of MC3T3-E1 cells were set.The expression of KIAA0753,OCN,OPN protein,and ALP activity were detected successively.The diabetic mouse model dataset in Gene Expression Omnibus was used to screen differential genes for bioinformatics a-nalysis.MC3T3-E1 cells were set up in three groups,5.5,25 mmol·L-1,and 25 mmol·L-1+OE-KI-AA0753,respectively.The calcium/calmodulin-de-pendent protein kinase Ⅱ beta(CAMK2B)and phos-pholamban(PLN)were detected by Western blot.Re-sults Compared with the 5.5 mmol·L-1 group,25 mmol·L-1 inhibited the expression of KIAA0753 and CCSAP proteins in osteoblasts,and there was an inter-action between KIAA0753 and CCSAP.At the same time,25 mmol·L-1 also inhibited the expression of ALP,OPN,and OCN proteins in osteoblasts.Overex-pression of CCSAP at 25 mmol·L-1 up-regulated the expression of KIAA0753,OCN,OPN,and ALP.The differential genes of the diabetic mouse model were mainly concentrated in the aspects of"signal receptor and signal regulation".25 mmol·L-1 glucose inhibi-ted the expression of CAMK2B and PLN proteins in os-teoblasts,and overexpression of KIAA0753 at 25 mmol·L-1 upregulated the expression of CAMK2B and PLN proteins.Conclusions High glucose inhibits the expression of KIAA0753 and CCSAP protein,inhibits the osteogenic differentiation and calcium signaling in mouse embryonic osteoblast precursor cells,overex-pression of CCSAP saves the inhibitory effect of high glucose on osteogenic differentiation,and overexpres-sion of KIAA0753 reverses the inhibitory effect of high glucose on calcium signaling pathway.

OBJECTIVE: To assess health equity in the Yangtze River region to improve understanding of the correlation between hand, foot, and mouth disease (HFMD) and socioeconomic factors. METHODS: From 2014-2016, data on HFMD incidence, population statistics, economic indicators, and meteorology from 26 cities along the Yangtze River were analyzed. A multi-city random-effects meta-analysis was performed to study the relationship between temperature and HFMD transmission, and health equity was assessed with respect to socio-economic impact. RESULTS: Over the study period, 919,458 HFMD cases were reported, with Shanghai (162,303) having the highest incidence and Tongling (5,513) having the lowest. Males were more commonly affected (male-to-female ratio, 1.49:1). The exposure-response relationship had an M-shaped curve, with two HFMD peaks occurring at 4 °C and 26 °C. The relative risk had two peaks at 1.30 °C (1.834, 95% CI: 1.204-2.794) and 31.4 °C (1.143, 95% CI: 0.901-1.451), forming an M shape, with the first peak higher than the second. The most significant impact of temperature on HFMD was observed between -2 °C and 18.1 °C. The concentration index (0.2463) indicated moderate concentration differences, whereas the Theil index (0.0418) showed low inequality in distribution. CONCLUSION The incidence of HFMD varied across cities, particularly with changes in temperature. Economically prosperous areas showed higher risks, indicating disparities. Targeted interventions in these areas are crucial for mitigating the risk of HFMD.
Female ; Humans ; Male ; China/epidemiology* ; Cities/epidemiology* ; Hand, Foot and Mouth Disease/transmission* ; Incidence ; Risk Factors ; Temperature

Objective To establish and evaluate a mouse model of acute myocardial infarction(AMI)with coronary heart disease(CHD)that integrates syndrome differentiation with disease diagnosis,based on the"deficiency-stagnation-toxicity"pathogenesis.Methods Forty-eight ICR mice were randomly divided into four groups using a random number table:sham-operated,normal diet,high-choline,and trimethylamine N-oxide(TMAO).From weeks 1 to 8,each group received corresponding dietary and water interventions.From the 9th week,the normal diet,high-choline,and TMAO groups underwent coronary artery ligation(left anterior descending artery,LAD).In contrast,the sham-operated group only had suture placement without ligation,maintaining the same dietary and water interventions.Data on general signs,body weight,food and water intake,urine and feces,auricle and paw conditions,and behavioral patterns were collected and compared macroscopically and microscopically to determine the syndrome type of the high-choline-induced AMI mouse model and observe changes in the"deficiency-stagnation-toxicity"syndrome indicators.After 12 weeks,echocardiography,hematoxylin-eosin(HE)staining,and Masson′s trichrome staining were used to assess cardiac function,myocardial tissue cellular morphology changes,and myocardial fibrosis levels,respectively.The stability and reliability of the model were evaluated by observing the fluorescence intensity of inflammatory cytokines in the myocardial tissues of each group using immunofluorescence.Results Mice in all groups post-AMI surgery exhibited significant weight loss,dull fur,lethargy,and reduced activity.Mice in the high-choline and TMAO groups showed more sluggish responses to stimuli.The high-choline and TMAO groups displayed increased food intake but slow weight gain from weeks 1 to 4,developing into a trend of"increased food and water intake with weight loss"from 5 to 8 weeks,accompanied by yellowish urine and dry stools(P<0.01).Postoperatively(9-12 weeks),body weight significantly decreased,with the most prominent weight loss observed in the high-choline group.The high-choline and TMAO groups exhibited abnormal RGB values in auricles and paws(P<0.01),and behavioral tests showed a significant decline in open-field activity(P<0.01).Cardiac function and pathological examinations revealed that,compared with the sham-operated and normal diet groups,mice in the high-choline and TMAO groups had increased left ventricular end-diastolic and end-systolic volumes(P<0.01),decreased left ventricular ejection fraction and fractional shortening(P<0.01),and elevated heart indices(P<0.05).HE staining of myocardial tissues indicated more pyknotic nuclei and inflammatory cell infiltration in the high-choline and TMAO groups.Masson′s trichrome staining showed extensive blue-stained collagen fiber distribution in the infarct border zones of the high-choline and TMAO groups,with aggravated fibrosis(P<0.05).Immunofluorescence revealed elevated interleukin-1 beta and tumor necrosis factor-alpha levels in the high-choline and TMAO groups compared with the sham-operated and normal diet groups(P<0.01).Conclusion A high-choline diet combined with LAD ligation successfully established an animal model of AMI with CHD that integrates syndrome differentiation with disease diagnosis,based on the"deficiency-stagnation-toxicity"pathogenesis.This model not only embodies the traditional Chinese medicine theory′s understanding of the pathogenic features of"deficiency-stagnation-toxicity",but also serves as a reference for assessing the interventional effects of Chinese herbal compound prescriptions and facilitating research on syndrome patterns in traditional Chinese medicine.

Lung transplantation is an important means to treat end-stage lung disease and improve the survival rate and quality of life of patients. However, many postoperative complications seriously affect the prognosis of recipients. Accurate identification of key prognostic factors and construction of individualized and accurate prediction models are of great significance for postoperative prognosis evaluation, treatment strategy formulation and clinical decision-making. In recent years, the clinical prediction model of lung transplantation has gradually changed from traditional statistical methods to machine learning-driven. Compared with traditional models such as Cox regression and Logistic regression, machine learning models such as random forest, support vector machine and artificial neural network have certain advantages in postoperative survival rate prediction, early warning of complications and pulmonary function evaluation. However, their application is also affected by insufficient sample size and poor interpretability of models. Under the condition of small samples, the traditional model still has important value in prediction accuracy. The appropriate prediction model should be selected according to the clinical status of lung transplantation in China, considering the factors such as sample size, variable complexity and model interpretability. In the future, a multi-center, large-sample lung transplantation database should be constructed to further optimize and tap the potential of machine learning algorithms to improve the robustness and clinical applicability of the model.