BACKGROUND:Extracellular vesicles are secreted into the extracellular milieu by a wide range of cell types,including tumor cells,under different physiological and pathophysiological conditions,where a wide range of biological signals and cell-to-cell signaling exists.Tumor-derived extracellular vesicles may exacerbate cancer progression,survival,invasion,and promote angiogenesis. OBJECTIVE:To review the research progress of extracellular vesicles in the diagnosis and treatment of oral squamous cell carcinoma. METHODS:Literature search was performed by the first author in PubMed,WanFang,CNKI and other databases with the keywords"EVs,oral squamous cell carcinoma,diagnosis and treatment,biopsy,tissue engineering"in Chinese and English.Finally,63 articles were included for analysis. RESULTS AND CONCLUSION:(1)In oral squamous carcinoma saliva biopsies,extracellular vesicles play a crucial role in the progression of oral squamous cell carcinoma by acting as an information transfer tool between tumor cells and the surrounding microenvironment,carrying a wide range of biomolecules including soluble proteins,lipids,DNA,and RNA.These tiny vesicles not only play a key role in tumor growth and spread,but also provide important information about the biological properties of the tumor.(2)Saliva biopsy,as a non-invasive diagnostic method,can open up new possibilities for early diagnosis and targeted treatment of oral squamous cell carcinoma by analyzing the extracellular vesicles therein.(3)It has been found that bioactive molecules,such as microRNAs(miRNAs)and specific proteins,contained within extracellular vesicles can serve as biomarkers for oral squamous carcinoma and improve the accuracy of early diagnosis.Specific proteins in extracellular vesicles such as EHD2,CAVIN1,PF4V1,and CXCL7 show potential as novel predictive biomarkers.(4)In addition,this paper highlights the potential application of extracellular vesicles in the treatment of oral squamous carcinoma.Through engineering modifications,extracellular vesicles can serve as a new generation of nanoscale drug delivery systems to enhance the efficiency and specificity of targeted tumor therapy.(5)Future studies will further explore the effect and mechanism of extracellular vesicles in oral squamous cell carcinoma,which is expected to improve patients'survival and quality of life.

BACKGROUND: The available evidence regarding the benefits of percutaneous coronary intervention (PCI) on patients receiving dialysis with coronary artery disease (CAD) is limited and inconsistent. This study aimed to evaluate the association between PCI and clinical outcomes as compared with medical therapy alone in patients undergoing dialysis with CAD in China. METHODS: This multicenter, retrospective study was conducted in 30 tertiary medical centers across 12 provinces in China from January 2015 to June 2021 to include patients on dialysis with CAD. The primary outcome was major adverse cardiovascular events (MACE), defined as a composite of cardiovascular death, non-fatal myocardial infarction, and non-fatal stroke. Secondary outcomes included all-cause death, the individual components of MACE, and Bleeding Academic Research Consortium criteria types 2, 3, or 5 bleeding. Multivariable Cox proportional hazard models were used to assess the association between PCI and outcomes. Inverse probability of treatment weighting (IPTW) and propensity score matching (PSM) were performed to account for potential between-group differences. RESULTS: Of the 1146 patients on dialysis with significant CAD, 821 (71.6%) underwent PCI. After a median follow-up of 23.0 months, PCI was associated with a 43.0% significantly lower risk for MACE (33.9% [ n  = 278] vs . 43.7% [ n  = 142]; adjusted hazards ratio 0.57, 95% confidence interval 0.45-0.71), along with a slightly increased risk for bleeding outcomes that did not reach statistical significance (11.1% vs . 8.3%; adjusted hazards ratio 1.31, 95% confidence interval, 0.82-2.11). Furthermore, PCI was associated with a significant reduction in all-cause and cardiovascular mortalities. Subgroup analysis did not modify the association of PCI with patient outcomes. These primary findings were consistent across IPTW, PSM, and competing risk analyses. CONCLUSION This study indicated that PCI in patients on dialysis with CAD was significantly associated with lower MACE and mortality when comparing with those with medical therapy alone, albeit with a slightly increased risk for bleeding events that did not reach statistical significance.
Humans ; Percutaneous Coronary Intervention/methods* ; Male ; Female ; Coronary Artery Disease/drug therapy* ; Retrospective Studies ; Renal Dialysis/methods* ; Middle Aged ; Aged ; China ; Proportional Hazards Models ; Treatment Outcome

Breast cancer (BC) is one of the most prevalent malignant tumors affecting women worldwide, with its incidence rate continuously increasing. As a result, treatment strategies for this disease have received considerable attention. Research has highlighted the crucial role of the Hedgehog (Hh) signaling pathway in the initiation and progression of BC, particularly in promoting tumor growth and metastasis. Therefore, molecular targets within this pathway represent promising opportunities for the development of novel BC therapies. This study aims to elucidate the therapeutic mechanisms by which natural compounds modulate the Hh signaling pathway in BC. By conducting a comprehensive review of various natural compounds, including polyphenols, terpenes, and alkaloids, we reveal both common and unique regulatory mechanisms that influence this pathway. This investigation represents the first comprehensive analysis of five distinct mechanisms through which natural compounds modulate key molecules within the Hh pathway and their impact on the aggressive behaviors of BC. Furthermore, by exploring the structure-activity relationships between these compounds and their molecular targets, we shed light on the specific structural features that enable natural compounds to interact with various components of the Hh pathway. These novel insights contribute to advancing the development and clinical application of natural compound-based therapeutics. Our thorough review not only lays the groundwork for exploring innovative BC treatments but also opens new avenues for leveraging natural compounds in cancer therapy.

A complete plant body consists of elements on different scales, including microscopic molecules, mesoscopic multicellular structures, and macroscopic tissues and organs, which are interconnected to form complex biological networks. The growth and development of plants involve the regulation of elements on different scales and their biological networks, which requires the coordinated operation of multiple molecules, cells, tissues, and organs. It is difficult to reveal the essence of multi-level life activities by a single method or technology. In recent years, the development of various novel imaging technologies has provided new approaches for revealing the complex life activities in plants. Using multi-modal imaging technologies to study the cross-scale network connections of plants from the microscopic, mesoscopic, and macroscopic levels is crucial for understanding the complex internal connections behind biological functions. This paper first summarizes multi-modal cross-scale imaging technologies, three-dimensional reconstruction, and image processing methods, outlines the basic framework of cross-scale network connection properties, and then summarizes the applications of multi-modal imaging technologies in elucidating plant multi-scale networks. Finally, this review systematically integrates the combined analysis of cross-scale 3D spatial structural data and single-cell omics, laying a theoretical foundation for the innovation of novel plant imaging technologies. Furthermore, it provides a new research paradigm for in-depth exploration of the interaction mechanisms among cross-scale elements and the principles of biological network connectivity in plant life activities.
Plants/metabolism* ; Imaging, Three-Dimensional/methods* ; Image Processing, Computer-Assisted/methods* ; Multimodal Imaging/methods* ; Plant Physiological Phenomena

Abstract To explore the influence of the occurrence and development of bystander behavior in cyberbullying among adolescents, the paper reviews the factors influencing bystander behavior from the perspective of social ecosystem theory at the individual level, microsystem (family and school factors), peripheral system (contextual factors), macrosystem (cultural factors) and digital environment (media factors). It is pointed out that the future research needs to further explore the internal interaction of micro system, the influence of time system and technological development on bystanders, and the complex interaction between social ecosystems, and design feasible intervention strategies to transform passive bystanders into active interveners.

Objective To evaluate the value of rs61330082 and rs4730153 polymorphisms of Visfatin locus for the diagnosis of type 2 diabetes mellitus(T2DM)in a high-risk population.Methods SNPscanTM high-throughput single nucleotide polymorphism typing technique was used to genotype Visfatin gene loci rs61330082 and rs4730153 in 346 T2DM patients(T2DM group)and 1426 normal controls(NC group).Logistic regression analysis was used to analyze T2DM risk factors.ROC curves were used to analyze the optimal cut-off values of Visfatin gene rs61330082 and rs4730153 for the diagnosis of T2DM.Results The proportion of women,age,obesity,smoking,hypertension,FPG,HbA1c and TG were higher in T2DM group than those in NC group(P<0.01)and HDL-C was lower than in NC group(P<0.01).The frequency of G allele and GG genotype was higher in T2DM group compared with NC group(P<0.05).Logistic regression analysis showed that age,female,obesity,hypertension,TG,and GG genotype at rs4730153 locus were risk factors for T2DM,HDL-C was a protective factor for T2DM.The area under the ROC curve of GG genotype at Visfatin rs4730153 mutation for diagnosis of T2DM was 0.668 and the optimal cut-off point for predicting T2DM was 20.04%,with sensitivity 60.1%and specificity 66.1%,respectively.Conclusion The GG genotype of Visfatin gene rs4730153 locus is associated with the risk of T2DM and can beused as a candidate gene for predicting phenotype of T2DM.

Objectives:To investigate the effect of inhibition of long non-coding RNA(lnc RNA)in human metastasis associated lung adenocarcinoma transcript 1(MALAT1)on glycolipitoxicity-induced human umbilical vein endothelial cell dysfunction. Methods:Human umbilical vein endothelial cells were treated with glucose and palmitic acid in vitro to establish the glycolipitoxic endothelial cell models.Following groups were examined:control group,high-glucose and high-fat group,high-glucose and high-fat + non-targeting RAN control group,high-glucose and high-lipid+MALAT1 siRNA group,and high-glucose and high-lipid+MAPK1 siRNA group.RT-qPCR was used to detect the mRNA expression of MALAT1 and MAPK1.Western blot was used to detect the expression levels of autophagy,mitochondrial fusion division,apoptosis,and pathway-related proteins.Immunofluorescence confocal localization was used to detect the fluorescence colocalization of autophagy and lysosome-related proteins.The number of autophagolysosomes in endothelial cells was observed by transmission electron microscopy.Mitochondrial probe staining was used to detect mitochondrial morphology,immunofluorescence was used to detect intracellular reactive oxygen species(ROS)production,flow cytometry was used to detect the apoptosis of cells in each group,cell proliferation and scratch assays were used to detect the proliferation and migration ability of cells in different groups at different time points.The angiogenesis was quantified by counting the number of new blood vessels in each group. Results:Compared with the control group,the expression of lncRNA MALAT1 mRNA and the expression of phosphorylated mito-activated protein kinase 1(p-MAPK1)were upregulated(both P＜0.05)and the expression of phosphorylated mammalian target protein(p-mTOR)was downregulated in the high-glucose and high-fat group and the high-sugar and high-fat control group(all P＜0.01).Compared with the high-glucose and high-fat non-targeting RNA control group,the expressions of microtubule-associated protein 1A/1B-light chain 3(LC3)and p62 were downregulated(P＜0.01,P＜0.05),LC3 and lysosome-associated membrane protein 2(LAMP2)protein co-localized positive fluorescence particles were increased(both P＜0.01),number of lysosomes were decreased,the expression of ROS was decreased(P＜0.01),the expression level of mitochondrial fusion protein optic nerve atrophin 1(OPA1)was increased(P＜0.05),the expressions of cleaved caspase-3 and BCL-2-related X protein(BAX)were decreased and BCL-2 was increased(all P＜0.05),cell proliferation,migration,and tube-forming ability were increased(all P＜0.01),and the expression of p-MAPK1 was decreased(P＜0.05)and p-mTOR expression was increased(both P＜0.05)in the high-glucose and high-lipid+si-MALAT1 group.Compared with the high-glucose and high-fat non-targeting RNA control group,the expression of p-MAPK1 in endothelial cells was decreased and the expression of p-mTOR was increased in the high-glucose and high-lipid+si-MAPK1 group(both P＜0.01). Conclusions:Inhibition of lncRNA MALAT1 expression can reduce the level of mitophagy in glycolipidotoxic environments,reduce apoptosis of endothelial cells and improve endothelial cell function,which may be related to the regulation of MAPK1/mTOR signaling pathway.

Objectives:To analyze the consistency of evaluating left ventricular hemodynamics (HDF) based on single plane and multi plane cine sequences of magnetic resonance mitral valve orifice.Methods:A prospective study was conducted on 48 healthy adults, and two methods were used to measure the mitral valve diameter and calculate HDF parameters. The first method was to measure the diameter of the mitral valve opening in the left ventricular three chamber cine sequence; The second method is to measure the mitral valve diameter using cine sequences of two chamber, three chamber, and four chamber hearts, and then take the average value. Paired t-tests were used to compare the differences in HDF measured by two methods, and Pearson correlation coefficient ( r), intra group correlation coefficient ( ICC), and Bland-Altman analysis were used to test the consistency and reproducibility of the two methods. Results:The root mean square (RMS) of longitudinal HDF calculated using single plane and multi plane mitral valve diameters were [(17.28±4.41)% vs (17.21±4.61)%] ( P=0.379) for the entire cardiac cycle, [(21.45±5.54)% vs (21.49±5.68)%] ( P=0.646) for systolic phase, and [(12.78±4.10)% vs (12.54±4.24)%] ( P=0.106) for diastolic phase, respectively. The difference in the calculation results of HDF parameters related to ventricular function was not statistically significant (all P>0.05), and there was good consistency ( r=0.924-0.996, ICC=0.924-0.995). The two HDF parameters related to atrial function were sensitive to the measurement method of mitral valve orifice diameter [RMS of longitudinal HDF during active atrial emptying: (3.26±1.51)% vs (3.32±1.55)%, P=0.006; longitudinal HDF pulse during active atrial emptying: (-2.60±1.28)% vs (-2.76±1.30)%, P<0.001]. Conclusions:The ventricular function related HDF parameters obtained from the analysis of mitral valve orifice diameter using single plane and multi plane methods have good consistency, and can be evaluated using relatively simple single plane methods for left ventricular HDF.

Objective:To analyze the disease burden in middle-aged and elderly population aged ≥55 in Shenzhen from 2016 to 2030 and provide evidence for the development of healthy aging strategies.Methods:The years of life lost (YLL), years lost due to disability (YLD), and the disability-adjusted life year (DALY) in this population from 2016 to 2022 were calculated. Joinpoint log-linear regression model was used to analyze the time trend. Bayesian age-period-cohort model and grey system model were used to predict YLL, YLD, and DALY in this population in 2030.Results:From 2016 to 2022, the crude DALY rate showed a transient fluctuation in age group 55-74 years, but a pronounced increase in age group ≥85 years. The proportions of YLL and YLD due to non-communicable diseases in all age groups was considerably higher than those due to communicable and nutritional diseases and injuries. In 2022, in all age groups, the YLL due to neoplasms (55-74 years old) and cardiovascular disease (≥75 years old) ranked first, and the YLD due to musculoskeletal disorder ranked first. By 2030, the causes of YLL and YLD ranking first in each age group would be remained, while the ranks of some causes would increase.Conclusions:The age specific characteristics of current and predicted disease burden differed in individuals aged ≥55 years. Therefore, it is necessary to allocate social and medical resources according to the disease burden pattern.

Interpretation of syndrome differentiation is a necessary topic for the research on intelligent syndrome differentiation. The syndrome differentiation system of traditional Chinese medicine （TCM） is huge， with diverse and interrelated interpretations， and non-standardized linguistic expressions， while detailed interpretations involve complex basic theories and literature of TCM， resulting in a challenging organization of the system. From the perspective of text mining， this article analyzed the limitations of existing intelligent syndrome differentiation research， clarified the importance and necessity of constructing a syndrome differentiation interpretation system， and proposed the idea of constructing an interpretation system including conceptual system， logical system， evaluation system， and visualization presentation. Future research can continue to refine the structure， logical and semantic relationships， as well as evaluation methods of the interpretation system based on this ideas， present concrete examples， and build the interpretation corpus by utilizing various data sources such as textbooks， medical records， medical discourse， and papers， to provide technicians with standard reference and data support for TCM syndrome differentiation interpretation.