Objective: To analyze the characteristics of injury surveillance cases among the elderly in Ningbo City, Zhejiang Province from 2014 to 2023, so as to provide the basis for formulating targeted injury intervention measures. Methods: Injury surveillance cases aged ≥60 years were collected from seven injury sentinel hospitals in Ningbo City through the Zhejiang Provincial Chronic Disease Surveillance Information Management System from 2014 to 2023. Population distribution, temporal distribution, injury circumstances, and clinical characteristics were described. Results: A total of 67 259 injury surveillance cases among the elderly were reported in Ningbo City from 2014 to 2023, including 32 159 males (47.81%) and 35 100 females (52.19%). The median age was 68.00 (interquartile range, 14.00) years. The three months with a higher number of cases were December (6 271 cases, 9.32%), August (6 226 cases, 9.26%) and October (6 221 cases, 9.25%). The primary causes of injury were falls (25 276 cases, 37.58%), stabs (12 250 cases, 18.21%), and sprains (11 815 cases, 17.57%). The injury occurred mainly in homes (44 975 cases, 66.87%) and streets/urban areas (16 174 cases, 24.05%). The predominant activities at the time of injury were leisure activities (28 801 cases, 42.82%) and household chores (23 647 cases, 35.16%). The proportions of falls as the cause of injury and injuries occurring at home among females and people aged 80 years and above were relatively high. The predominant sites of injury were upper limbs (23 354 cases, 34.72%) and lower limbs (20 343 cases, 30.25%). The predominant nature of injury were soft tissue injuries (43 345 cases, 64.44%) and bone and joint injuries (22 042 cases, 32.77%). Injuries were primarily mild and moderate in severity, with 46 391 cases (68.97%) and 20 205 cases (30.04%), respectively. The proportion of bone and joint injuries, moderate in injuries among females and people aged 80 years and above was relatively high. Conclusions The main causes of injury surveillance cases among the elderly in Ningbo City from 2014 to 2023 were falls and stabs, and the injuries occurred mainly in homes and streets/urban areas. Female and elderly people have a higher risk of injury.

This study investigated the role of the nuclear factor of activated T cells c3 (NFATc3) in vascular smooth muscle cells (VSMCs) during aortic aneurysm and dissection (AAD) progression and the underlying molecular mechanisms. Cytoplasmic and nuclear NFATc3 levels were elevated in human and mouse AAD. VSMC-NFATc3 deletion reduced thoracic AAD (TAAD) and abdominal aortic aneurysm (AAA) progression in mice, contrary to VSMC-NFATc3 overexpression. VSMC-NFATc3 deletion reduced extracellular matrix (ECM) degradation and maintained the VSMC contractile phenotype. Nuclear NFATc3 targeted and transcriptionally upregulated matrix metalloproteinase 9 (MMP9) and MMP2, promoting ECM degradation and AAD development. NFATc3 promoted VSMC phenotypic switching by binding to eukaryotic elongation factor 2 (eEF2) and inhibiting its phosphorylation in the VSMC cytoplasm. Restoring eEF2 reversed the beneficial effects in VSMC-specific NFATc3-knockout mice. Cabamiquine-targets eEF2 and inhibits protein synthesis-inhibited AAD development and progression in VSMC-NFATc3-overexpressing mice. VSMC-NFATc3 promoted VSMC switch and ECM degradation while exacerbating AAD development, making it a novel potential therapeutic target for preventing and treating AAD.

Objective To analyze current situation and frontier trends of sarcopenic dysphasia in the last decade.Methods Researches about sarcopenic dysphasia were retrieved in the Web of Science Core Collection,from January,2015 to December,2024,and analyzed with Citespace 6.2.R3,in terms of countries,authors,institutions and key-words.Results A total of 1 071 literatures in English were included,showing an upward trend in publication volume.Japan ranked the highest in publication countries,and Institute of Science Tokyo contributed the most.Wakabayashi,Hidetaka published the most articles.The top three high-frequency keywords were deglutition disorders,tongue pressure and inclusion body myositis.The most bursting keywords included tongue pressure,neuromuscular dis-ease and muscular dystrophy,while muscle strength,oral hypofunction,idiopathic inflammatory myopathy and esophageal cancer were the new bursting keywords.Conclusion The researches in the field of sarcopenic dysphagia are increasing in recent years,focusing on the assess-ment,diagnosis and treatment.Future researches may involve in tongue pressure,skeletal muscle mass and oral frailty.

Objective:To evaluate the predictive performance of machine learning methods for predicting the risk of death in traumatic hemorrhage, and address the low prediction accuracy of traditional trauma scores, provide a reference for developing a more robust prediction method for severe trauma patients.Methods:Clinical data of severe trauma patients from the National Trauma Medical Center between April 1, 2023, and March 31, 2024 were collected. ElasticNet, Recursive Feature Elimination, and Mutual Information-based feature selection methods were used to screen variables and compared with traditional hypothesis testing methods. Built the prediction models for mortality risk in traumatic hemorrhage using Logistic Regression, ElasticNet, and Support Vector Machine (SVM) and compared the predictive performance.Results:The study included 5,601 trauma patients, the results of the variable screening and importance ranking were consistent with three feature selection methods. The classification accuracy and AUC values for the three models were as follows: Overall accuracy was 83.2%, survival accuracy was 84.0%, death accuracy was 76.3%, and an AUC was 0.86 in logistic regression; Overall accuracy was 78.9%, survival accuracy was 78.5%, death accuracy was 81.7%, and an AUC was 0.88 in ElasticNet; Overall accuracy was 84.7%, survival accuracy was 86.1%, death accuracy was 72.4%, and an AUC was 0.86 in SVM. The prediction performance of three models is quite little.Conclusion:Machine learning methods can effectively improve the prediction of death risk for traumatic hemorrhage,and has wide applications.

Objective To distinguish Cremastra appendiculata(D.Don)Makino,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth using the ITS sequence in DNA barcodes;To explore the genetic diversity of Cremastra appendiculata germplasm resources.Methods Three different original Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and their easily confusing products Cremastrae Pseudobulbus of Oreorchis patens and Iphigenia indica Kunth were selected as the research objects,and the genomic DNA of the above samples were extracted by the modified CTAB method,and then the ITS sequences were amplified,sequenced and spliced by PCR technology.The Kimura 2-Parameter(K2P)model was used to calculate the genetic distance,and the phylogenetic tree was constructed with the help of neighbour joining method(NJ)for genetic relationship analysis.Results Except for the Iphigenia indica Kunth species that were not found during the BLAST search,the BLAST comparison results of the other samples were higher than 95%.At the same time,the results of phylogenetic tree showed that Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides were clustered into one branch,respectively,and the easily confusing products were also respectively clustered into one branch.Conclusion The ITS sequence in DNA barcodes can be used to accurately distinguish Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth.

Objective:To detect the expression level and clinical significance of centromere protein I (CENPI) in hepatocellular carcinoma (HCC) and to preliminarily explore the effects of CENPI on the biological behavior of liver cancer cells and its possible molecular mechanisms. Methods:The TCGA database, real-time fluorescent quantitative polymerase chain reaction, Western blot, and immunohistochemical staining experiments were used to analyze and detect the expression differences of CENPI in liver cancer and adjacent tissues. The correlation between CENPI expression levels and clinical pathological features were analyzed in combination with clinical data from HCC patients. The value of CENPI in the diagnosis and prognosis assessment of HCC was explored by plotting receiver operating characteristic curves and Kaplan-Meier survival curves. Furthermore, we investigated the impact of CENPI overexpression on the migration and healing capabilities of liver cancer cells using Transwell and wound healing experiments. Finally, the effects of CENPI on the epithelial-mesenchymal transition process in liver cancer cells and the potential molecular mechanisms were explored using Western blot. Comparisons between two groups were analyzed using t-tests, and comparisons among multiple groups were analyzed using one-way ANOVA. The expression of CENPI and its correlation with clinical pathological features were analyzed using the χ2 test. Results:The TCGA database analysis showed that the expression level of CENPI was significantly higher in liver cancer tissues than adjacent tissues, which was further validated by real-time fluorescent quantitative polymerase chain reaction, Western blotting, and immunohistochemical staining experiments. Combined clinical data analysis from HCC patients demonstrated that high expression of CENPI was positively correlated with the degree of tumor malignancy, T stage, and disease prognosis. The Kaplan-Meier survival curve indicated that the 5-year survival rate was significantly lower in patients with high CENPI expression compared to those with low expression. The results of the receiver operating characteristic curve further indicated that the expression level of CENPI had accurately predicted the prognosis of liver cancer patients (area under the curve=0.962). Transwell and wound healing experiment results indicated that overexpressing CENPI in Hep3B and Huh7 cells significantly increased cell migration numbers and healing rates. Further research results showed that overexpressing CENPI significantly upregulated the expression of mesenchymal cell-related marker genes: N-cadherin, Vimentin, and Snail protein, while the expression of the epithelial cell-related marker gene E-cadherin was significantly reduced. The mechanistic study revealed that when CENPI was overexpressed, the MEK and ERK phosphorylation levels and the expression of RAS protein were significantly increased compared to the control group, and the difference was statistically significant. Conclusion:The high expression of CENPI in the tissues of HCC patients is associated with poor prognosis, potentially promoting the migration of liver cancer cells and the epithelial-mesenchymal transition process by activating the RAS/MEK/ERK signaling pathway axis, suggesting that the CENPI gene may be a promising target for HCC treatment.

Objective To analyze current situation and frontier trends of sarcopenic dysphasia in the last decade.Methods Researches about sarcopenic dysphasia were retrieved in the Web of Science Core Collection,from January,2015 to December,2024,and analyzed with Citespace 6.2.R3,in terms of countries,authors,institutions and key-words.Results A total of 1 071 literatures in English were included,showing an upward trend in publication volume.Japan ranked the highest in publication countries,and Institute of Science Tokyo contributed the most.Wakabayashi,Hidetaka published the most articles.The top three high-frequency keywords were deglutition disorders,tongue pressure and inclusion body myositis.The most bursting keywords included tongue pressure,neuromuscular dis-ease and muscular dystrophy,while muscle strength,oral hypofunction,idiopathic inflammatory myopathy and esophageal cancer were the new bursting keywords.Conclusion The researches in the field of sarcopenic dysphagia are increasing in recent years,focusing on the assess-ment,diagnosis and treatment.Future researches may involve in tongue pressure,skeletal muscle mass and oral frailty.

Objective To distinguish Cremastra appendiculata(D.Don)Makino,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth using the ITS sequence in DNA barcodes;To explore the genetic diversity of Cremastra appendiculata germplasm resources.Methods Three different original Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and their easily confusing products Cremastrae Pseudobulbus of Oreorchis patens and Iphigenia indica Kunth were selected as the research objects,and the genomic DNA of the above samples were extracted by the modified CTAB method,and then the ITS sequences were amplified,sequenced and spliced by PCR technology.The Kimura 2-Parameter(K2P)model was used to calculate the genetic distance,and the phylogenetic tree was constructed with the help of neighbour joining method(NJ)for genetic relationship analysis.Results Except for the Iphigenia indica Kunth species that were not found during the BLAST search,the BLAST comparison results of the other samples were higher than 95%.At the same time,the results of phylogenetic tree showed that Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides were clustered into one branch,respectively,and the easily confusing products were also respectively clustered into one branch.Conclusion The ITS sequence in DNA barcodes can be used to accurately distinguish Cremastra appendiculata,Pleione yunnanensis Rolfe and Pleione bulbocodioides,and its easily confusing products Oreorchis patens and Iphigenia indica Kunth.

Objective:To detect the expression level and clinical significance of centromere protein I (CENPI) in hepatocellular carcinoma (HCC) and to preliminarily explore the effects of CENPI on the biological behavior of liver cancer cells and its possible molecular mechanisms. Methods:The TCGA database, real-time fluorescent quantitative polymerase chain reaction, Western blot, and immunohistochemical staining experiments were used to analyze and detect the expression differences of CENPI in liver cancer and adjacent tissues. The correlation between CENPI expression levels and clinical pathological features were analyzed in combination with clinical data from HCC patients. The value of CENPI in the diagnosis and prognosis assessment of HCC was explored by plotting receiver operating characteristic curves and Kaplan-Meier survival curves. Furthermore, we investigated the impact of CENPI overexpression on the migration and healing capabilities of liver cancer cells using Transwell and wound healing experiments. Finally, the effects of CENPI on the epithelial-mesenchymal transition process in liver cancer cells and the potential molecular mechanisms were explored using Western blot. Comparisons between two groups were analyzed using t-tests, and comparisons among multiple groups were analyzed using one-way ANOVA. The expression of CENPI and its correlation with clinical pathological features were analyzed using the χ2 test. Results:The TCGA database analysis showed that the expression level of CENPI was significantly higher in liver cancer tissues than adjacent tissues, which was further validated by real-time fluorescent quantitative polymerase chain reaction, Western blotting, and immunohistochemical staining experiments. Combined clinical data analysis from HCC patients demonstrated that high expression of CENPI was positively correlated with the degree of tumor malignancy, T stage, and disease prognosis. The Kaplan-Meier survival curve indicated that the 5-year survival rate was significantly lower in patients with high CENPI expression compared to those with low expression. The results of the receiver operating characteristic curve further indicated that the expression level of CENPI had accurately predicted the prognosis of liver cancer patients (area under the curve=0.962). Transwell and wound healing experiment results indicated that overexpressing CENPI in Hep3B and Huh7 cells significantly increased cell migration numbers and healing rates. Further research results showed that overexpressing CENPI significantly upregulated the expression of mesenchymal cell-related marker genes: N-cadherin, Vimentin, and Snail protein, while the expression of the epithelial cell-related marker gene E-cadherin was significantly reduced. The mechanistic study revealed that when CENPI was overexpressed, the MEK and ERK phosphorylation levels and the expression of RAS protein were significantly increased compared to the control group, and the difference was statistically significant. Conclusion:The high expression of CENPI in the tissues of HCC patients is associated with poor prognosis, potentially promoting the migration of liver cancer cells and the epithelial-mesenchymal transition process by activating the RAS/MEK/ERK signaling pathway axis, suggesting that the CENPI gene may be a promising target for HCC treatment.

Objective To investigate the expression of centromere protein U(CENPU)in the intestinal tissues of patients with colon cancer,and to analyze the effect of CENPU expression level on the prognosis of patients with colon cancer combined with bioinformatics.Methods Firstly,the expression of CENPU in cancer tissues and normal tissues of colon cancer patients was analyzed by the expression of CENPU in tissues was further verified by real-time quantitative real time polymerase chain reaction(qRT-PCR),Western blot(WB)and immunohistochemistry(IHC).Combined with clinical data,univariate and multivariate Cox regression are used to analyze the correlation between CENPU expression and clinical case parameters of colon cancer patients.Then,the predictive effect of CENPU expression on the prognosis of colon cancer patients are explored by drawing receiver operating characteristic(ROC)curve and Kaplan-Meier survival curve.Finally,the possible molecular mechanism of the effect of CENPU expression on the progression of colon cancer are analyzed by bioinformatics.Results By qRT-PCR,WB and IHC experiments,we find that compared with normal tissues,the expression of CENPU in cancer tissues of colon cancer patients is significantly increased.Cox regression analysis show that the expression of CENPU is significantly correlated with the age and TNM stage of patients,and is a risk factor affecting the prognosis of patients.Kaplan-Meier survival curve analysis show that colon cancer patients with high CENPU expression has significantly lower survival rates.ROC curve show that the model based on CENPU expression has a high predictive power for the prognosis of colon cancer patients area under the curve(AUC=0.832).Bioinformatics analysis show that CENPI,CENPN,CENPD,CENPK,CENPP,CENPM,CENPQ,CENPH,NDC80 and ITGB3BP have significant interaction with CENPU gene.CENPU is involved in DNA repair,MYC/TARGETS/V1 and PI3K/AKT/MTOR signaling pathways.Conclusion High expression of CENPU in cancer tissues of patients with colon cancer is significantly associated with poor prognosis of patients,suggesting that CENPU is expected to be a potential target for early diagnosis and prognosis prediction of patients with colon cancer.