Objective To investigate the protective effect and underlying mechanism of human umbilical cord mesenchymal stem cell-derived exosomes (hucMSC-Exo) on renal ischemia-reperfusion injury (IRI). Methods hucMSC-Exos were isolated and characterized. A mouse renal IRI model was established and the animals were divided into Sham, IRI, IRI+hucMSC-Exo, IRI+hucMSC-Exo+JY-2 and Sham+JY-2 groups. Serum creatinine (Scr) and blood urea nitrogen (BUN) were measured. Hematoxylin-eosin (HE) staining was used to evaluate renal histopathology. Enzyme-linked immune absorbent assay was performed to determine serum interleukin (IL)-1β and IL-18 levels. Western blotting was used to detect the expression of activating transcription factor 3 (ATF3), Toll-like receptor 4 (TLR4), nuclear factor (NF)-κB, NOD-like receptor protein 3 (NLRP3), cysteineyl aspartate specific proteinase (Caspase)-1 p20 and Gasdermin D(GSDMD). Real-time fluorescent quantitative polymerase chain reaction was employed to measure ATF3, TLR4 and NF-κB messenger RNA (mRNA). Immunohistochemistry was conducted to examine NLRP3, Caspase-1 p20 and GSDMD. An in vitro hypoxia/reoxygenation (H/R) model was established in HK-2 cells and divided into Control, H/R, H/R+hucMSC-Exo, H/R+hucMSC-Exo+JY-2 and Control+JY-2 groups. Western blotting was used to detect the expression of ATF3, TLR4 and NF-κB. Real-time fluorescent quantitative polymerase chain reaction was used to measure NLRP3, GSDMD and Caspase-1 mRNA. Results HucMSC-Exos were successfully isolated and identified. Compared with the Sham group, the IRI group exhibited elevated Scr and BUN, higher tubular injury scores, increased protein expression levels of ATF3, TLR4, NF-κB p65, NLRP3, Caspase-1 p20 and GSDMD, and raised mRNA expression levels of ATF3, TLR4, NF-κB. Compared with the IRI group, the IRI+hucMSC-Exo group showed decreased Scr and BUN, lower tubular injury scores, up-regulated ATF3 protein and mRNA, down-regulated TLR4, NF-κB p65, NLRP3, Caspase-1 p20 and GSDMD protein, and declined TLR4 and NF-κB mRNA. Compared with the IRI+hucMSC-Exo group, the IRI+hucMSC-Exo+JY-2 group exhibited increased Scr and BUN levels, elevated renal tubular injury scores, decreased ATF3 protein expression levels, elevated protein expression levels of TLR4, NF-κB p65, NLRP3, Caspase-1 p20, and GSDMD, decreased ATF3 mRNA expression levels, and elevated mRNA expression levels of TLR4 and NF-κB. (all P < 0.05). Compared with the Control group, the expression levels of ATF3, TLR4 and NF-κB p65 proteins were increased in the H/R group, and the expression levels of NLRP3, Caspase-1 and GSDMD mRNA were increased. Compared with the H/R group, the expression level of ATF3 protein was increased, the expression levels of TLR4 and NF-κB p65 proteins were decreased, and the expression levels of NLRP3, Caspase-1 and GSDMD mRNA were decreased in the H/R+hucMSC-Exo group. Compared with the H/R+hucMSC-Exo group, the expression level of ATF3 protein was decreased, the expression levels of TLR4 and NF-κB p65 proteins were increased, and the expression levels of NLRP3, Caspase-1 and GSDMD mRNA were increased in the H/R+hucMSC-Exo+JY-2 group (all P < 0.05). Conclusions HucMSC-Exos alleviate renal IRI by up-regulating ATF3, thereby negatively regulating the TLR4/NF-κB signaling pathway and subsequently inhibiting pyroptosis.

Objective: To develop and validate a clinically actionable prediction model for postoperative pulmonary complications (PPCs) in cardiac surgery patients, focusing on modifiable preoperative risk factors amenable to targeted optimization. Methods: In this prospective observational cohort study, 492 adults undergoing open-chest cardiac surgery between August 15, 2023 and December 31, 2023 were analyzed. Prespecified predictors included gas exchange variables, pulmonary function, inspiratory muscle strength, and physical performance. Univariable and multivariable logistic regression analyses were used to develop the prediction model. Discrimination was assessed by the area under the receiver operating characteristic curve (AUC). Results: A total of 90 patients (14.1%) developed PPCs after surgery. Five independent predictors were identified: elevated arterial PaCO2 (odds ratio [OR] 1.12, 95% confidence interval [CI] 1.00–1.26), oxygen desaturation (SpO2<93%) (OR 12.47, 95% CI 3.51–48.13), reduced gait speed (OR 0.17, 95% CI 0.04–0.71), lower FEV1/FVC ratio (OR 0.96, 95% CI 0.92–1.00), and diminished inspiratory muscle strength (MIP % predicted) (OR 0.96, 95% CI 0.92–0.99). The model demonstrated good discriminative ability with an AUC of 0.86 (95% CI 0.80–0.93) in the training cohort and 0.87 (95% CI 0.74–0.93) in the validation cohort. Conclusion This parsimonious model achieved high predictive accuracy using five modifiable physiological variables. By targeting abnormalities in gas exchange, pulmonary mechanics, muscle strength, and functional reserve, the model offers a practical tool to guide individualized prehabilitation strategies for reducing PPC risk in cardiac surgery patients.

ObjectiveTo investigate the effect of icariin （ICA） on the phenotype of dendritic cells （DCs） in heart tissue of the Dahl salt-sensitive myocardial remodeling model of rats and its regulation on the vitamin D system. MethodsMale Dahl salt-resistant rats were divided into a normal group， and male Dahl salt-sensitive rats were divided into a model group， low-， medium-， and high-dose ICA groups （30， 60， 120 mg·kg^-1·d^-1）， and Vitamin D group （3×10^-5 mg·kg^-1·d^-1）. In addition to the normal group， the other groups were given an 8% high salt diet to establish a myocardial remodeling model and received intragastric administration after successful modelling once a day for six weeks. The dynamic changes in tail artery blood pressure were monitored， and detection of cardiac ultrasound function in rats was performed. Hematoxylin-eosin （HE） staining and Masson staining were used to observe the morphological changes in rat heart tissue. The phenotype of DCs and T helper cell 17 （Th17）/regulatory T cell （Treg） ratio were detected by flow cytometry. The mRNA and protein expression of vitamin D receptor （VDR）， 1α-hydroxylase （CYP27B1）， 24-hydroxylase （CYP24A1）， forkhead frame protein 3 （FoxP3）， solitaire receptor γt （RORγt）， myocardial type Ⅰ collagen （ColⅠ）， and type collagen （ColⅢ） in heart tissue was detected by real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） and Western blot. ResultsCompared with the normal group， the model group showed disordered arrangement and rupture of myocardial cells， nuclear condensation， significant edema of myocardial tissue， significant proliferation of collagen fibers in a network distribution， and a significant increase in tail artery blood pressure， left ventricular end diastolic diameter （LVEDD）， and left ventricular end systolic diameter （LVESD） （P<0.05）. The phenotype of cardiac DCs was CD40， CD80， and CD86， and the levels of major histocompatibility complex Ⅱ （MHC-Ⅱ）， Th17 cells， and Th17/Treg were significantly increased （P<0.05）. The mRNA and protein expression of CYP24A1 and RORγt in the heart， as well as the mRNA expression of ColⅠ and ColⅢ， were significantly increased （P<0.05）. The left ventricular ejection fraction （LVEF）， interventricular septal thickness （IVSD）， and left ventricular posterior wall thickness （LVPWD） were significantly decreased （P<0.05）. The phenotype of cardiac DCs such as CD11， CD11b， and Treg cells， were significantly reduced （P<0.05）， while the mRNA and protein expression of cardiac VDR， CYP27B1， and FoxP3 were significantly decreased （P<0.05）. Compared with the model group， the low-， medium-， and high-dose ICA groups and vitamin D group significantly reduced myocardial cell rupture and nuclear consolidation in rats. The high-dose ICA group and vitamin D group showed a small amount of myocardial cell rupture and nuclear consolidation， improving myocardial fiber arrangement to varying degrees and significantly reducing myocardial fiber rupture and proliferation. The tail artery blood pressure， LVEDD， and LVESD were significantly decreased in the low-， medium-， and high-dose ICA groups and vitamin D group （P<0.05）， and the phenotype of cardiac DCs including CD40， CD80， CD86， MHC-Ⅱ， Th17 cells， and Th17/Treg were significantly decreased （P<0.05）. The mRNA and protein expression of CYP24A1 and RORγt， and the mRNA expression of ColⅠ and ColⅢ in the heart were significantly decreased in the medium- and high-dose ICA groups and vitamin D group （P<0.05）. The LVEF， IVSD， and LVPWD of myocardial remodeling model rats in the low-， medium-， and high-dose ICA groups and vitamin D group were significantly increased （P<0.05）. The phenotypes of cardiac DCs including CD11， CD11b， and Treg cells were significantly increased in the medium- and high-dose ICA groups and the Vitamin D group （P<0.05）. The mRNA and protein expressions of VDR， CYP27B1， and FoxP3 in the heart were significantly increased in the medium- and high-dose ICA groups and vitamin D group （P<0.05）. ConclusionICA can regulate tail artery blood pressure， cardiac structural and functional damage， and myocardial tissue fibrosis and inhibit phenotype and functional maturation of DCs in heart tissue in the myocardial remodeling model of Dahl salt-sensitive rats. It can also affect the gene and protein expression of VDR， CYP24A1， and CYP27B1， achieving its intervention in Th17/Treg balance in the immune process of myocardial remodeling possibly by regulating vitamin D/VDR in heart tissue.

OBJECTIVE To construct a classification prediction model for vancomycin blood concentration， and to optimize its precision dosing strategies. METHODS Patient records meeting inclusion criteria were extracted from the Medical Information Mart for Intensive Care database. Following data cleaning and preprocessing， a final cohort of 9 902 patient was analyzed. Feature selection was performed through correlation analysis and the Boruta feature selection algorithm. Vancomycin blood concentrations were discretized into three categories based on clinical therapeutic windows： low （＜10 μg/mL）， intermediate （10-20 μg/mL）， and high （≥20 μg/mL）. Six machine learning algorithms were employed to construct classification models： tabular prior-data fitted network （TabPFN）， logistic regression （LR）， random forest （RF）， extreme gradient boosting （XGBoost）， support vector machine （SVM）， K-nearest neighbors （KNN）. Model performance was evaluated using 10-fold cross-validation （10-CV）， with primary metrics including： accuracy， balanced accuracy， precision macro， recall macro， macro F1， area under the receiver operating characteristic curve （OvR-AUC）. Shapley Additive Explanations （SHAP） was adopted to analyze the direction and magnitude of the impact that different features had on the model’s predictive outcomes. RESULTS The results showed that the RF and TabPFN models performed the best （with accuracy of 0.741 4 and 0.737 7， and OvR-AUC of 0.907 0 and 0.895 8， respectively）. XGBoost model exhibited moderate performance， while LR， SVM， and KNN models demonstrated relatively poor performance. Confusion matrix heatmap analysis revealed that both RF and TabPFN achieved higher accuracy in predicting high- concentration cases but exhibited slightly lower performance in the low and medium concentration categories. Bootstrap with 10-CV revealed that the RF model demonstrated stable performance across various evaluation metrics （accuracy： 0.741 4； balanced accuracy： 0.740 3； precision macro： 0.732 1； recall macro： 0.736 0； macro F1： 0.736 0； OvR-AUC： 0.907 0）， indicating good classification performance and generalization ability. SHAP analysis revealed that creatinine， urea nitrogen， daily cumulative dose and administration frequency of vancomycin， which were key predictors， had a significant impact on the prediction results. CONCLUSIONS RF and TabPFN models demonstrate certain advantages in the classification prediction of vancomycin trough blood concentrations； however， their performance in the low to moderate concentration categories still requires improvement.

Objective: To investigate the status of salt-restriction spoons use among residents in Zhejiang Province, so as to provide evidence for optimizing salt-reduction intervention strategies and preventing chronic disease. Methods: Residents aged 18-69 from five counties (cities/districts) in Zhejiang Province were selected using a multi-stage stratified random sampling method. Demographic characteristics, dietary habits, and salt-restriction spoons use were collected using questionnaires. The rate of salt-restriction spoons use and correct rate of salt-restriction spoons use were analyzed. Factors affecting salt-restriction spoons use among residents were analyzed by multivariable logistic regression model. Results: Totally 7 601 questionnaires were allocated, and 7 509 valid questionnaires were recovered, with an effective recovery rate of 98.79%. The respondents included 3 744 males (49.86%) and 3 765 females (50.14%). The mean age was (44.81±14.03) years. The rate of salt-restriction spoons use was 11.97%, the correct rate of salt-restriction spoon use was 52.73%. Multivariable logistic regression analysis showed that rural (OR=0.851, 95%CI: 0.731-0.991), education level of primary school and below (illiterate or semi-literate, OR=0.269, 95%CI: 0.172-0.420; primary school, OR=0.595, 95%CI: 0.436-0.811), and excessive dietary salt intake (OR=0.718, 95%CI: 0.559-0.922) were inhibiting factors for salt-restriction spoons use among residents; physical exercise (OR=1.581, 95%CI: 1.362-1.836) and received health education on a low-salt diet (OR=2.082, 95%CI: 1.790-2.421) were promoting factors for salt-restriction spoons use among residents. Conclusions The rate of salt-restriction spoons use among residents in Zhejiang Province was relatively low, primarily influenced by region, educational level, physical activity, dietary salt intake, and health education on a low-salt diet. It is recommended that propose a multi-component intervention strategy centered on skill enhancement and health education, delivered through progressive staged implementation, to promote sustained adoption of salt-restriction spoons among residents.

Objective:To develop a deep learning-based segmentation model MT-UNet to automatically segment bone metastases and benign bone lesions in bone scintigraphy with SPECT/CT.Methods:A total of 93 patients (48 males and 45 females, age 28-84 years) who underwent bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from June 2023 to December 2023 were enrolled retrospectively in this study, with a total of 184 bone lesions (94 benign lesions and 90 metastatic tumors). The MT-UNet was employed to segment bone lesions in SPECT, CT and SPECT/CT images respectively. Comparative analysis with 8 segmentation models was performed. The training set and validation set were divided by using 5-fold cross-validation and transfer learning was introduced to further enhance the robustness of the model. An additional cohort of 22 patients (15 males and 7 females, age 37-87 years) who received bone SPECT/CT in the Department of Nuclear Medicine, General Hospital of Northern Theater Command from April 2023 to May 2023 were included, comprising 40 bone lesions (22 benign lesions and 18 metastatic tumors) as the test set of MT-UNet. Segmentation performance of different models was assessed using accuracy, sensitivity, specificity, AUC, intersection over union and Dice similarity coefficient (DSC). Delong test was used to compare the segmentation efficacy among different models in the test set.Results:In the validation set, MT-UNet demonstrated DSC of 0.940, 0.962, and 0.963 for SPECT, CT, and SPECT/CT bone lesion segmentation, respectively, which were outperformed other models. Following transfer learning implementation, the SPECT/CT model′s DSC was improved to 0.984. In the test set, MT-UNet maintained comparable segmentation performance to the validation set, with significant AUC differences among the three models ( Z values: from -15.42 to -9.27, all P<0.01). Compared with conventional image interpretation, MT-UNet-based segmentation reduced physician interpretation time from 164min to 102min. Conclusion:MT-UNet has shown good performance in automatic segmentation of bone metastases and benign bone lesions, and is expected to become an important part of SPECT/CT image intelligent diagnosis system for bone metastases.

Objective:To explore the correlation between serum nidogen-2 (NID-2) and thoracic aortic calcification in patients with chronic kidney disease (CKD), and construct a risk prediction model based on NID-2 to evaluate its value in predicting the risk of the severe thoracic aortic calcification and cardiovascular and cerebrovascular events in CKD patients.Methods:It was a prospective cohort study. Patients with CKD at stage 3 to 5D in the Zhongda Hospital Affiliated to Southeast University from January 2022 to January 2023 were enrolled. Syngo.via software was used to evaluate the volume of thoracic aortic calcification, and enzyme-linked immunosorbent assay was employed to determine the level of serum NID-2. According to the volume of thoracic aortic calcification, the patients were divided into three groups: no calcification group, mild calcification group and severe calcification group. The top 25% of the patients were defined as no or mild calcification group, and the latter 75% were defined as severe calcification group. The follow-up period was one year. During the follow-up period, cardiovascular and cerebrovascular events, as well as all-cause death among the enrolled patients were recorded. Logistic regression analysis was used to screen the influencing factors of thoracic aortic calcification. Based on the results of logistic regression analysis, a nomogram prediction model was constructed. The receiver operating characteristic curve (ROC curve), calibration curve, and decision curve were employed to evaluate the discrimination, calibration and clinical practicality of the nomogram model.Results:A total of 132 patients were included, with 91 males (68.94%) and age of (56.51±16.37) years. There were 60 CKD 3-5 stage patients (non-dialysis, 45.45%) and 72 CKD 5D patients (dialysis, 54.55%). Serum ND-2 levels differed significantly among healthy individuals, dialysis patients and non-dialysis patients ( H=70.651, P<0.001). There was no statistically significant difference in serum NID-2 level between the no or mild calcification group and the severe calcification group in dialysis patients ( Z=350.00, P=0.426). The serum NID-2 level in the severe calcification group was significantly higher than that in the no or mild calcification group in non-dialysis patients ( Z=242.00, P=0.019). In non-dialysis patients, there was a statistically significant correlation between serum NID-2 level and volume of thoracic aortic calcification ( r=0.40, P<0.001). In dialysis patients, there was no statistically significant correlation between serum NID-2 level and volume of each segment of thoracic aortic calcification (all P>0.05). The univariate logistic regression analysis showed that, age, hemoglobin, serum albumin, estimated glomerular filtration rate, NID-2, hypertension, type 2 diabetes mellitus and cerebral infarction were correlated factors of thoracic aortic calcification in non-dialysis patients (all P<0.05). Multivariate logistic regression analysis showed that age ( OR=1.22, 95% CI 1.08-1.50, P=0.010) was an independent correlated factor of thoracic aortic calcification in non-dialysis patients. The above related variables of univariate logistic regression analysis were incorporated into a nomogram to construct a predictive model for severe vascular calcification in non-dialysis patients, yielding an AUC of 0.94 (95% CI 0.89-0.99) in ROC curve, with a sensitivity of 83% and a specificity of 95%. A nomogram model based on above variables for predicting cardiovascular and cerebrovascular events in non-dialysis patients demonstrated an AUC of 0.95 (95% CI 0.90-1.00) in ROC curve, with a sensitivity of 95% and a specificity of 87%. Conclusions:In non-dialysis patients, serum NID-2 level in the severe calcification group is significantly higher than that in the no or mild calcification group. The serum NID-2 is a related factor of thoracic aortic calcification and cardiovascular and cerebrovascular events in non-dialysis patients. The nomogram prediction model constructed by combining NID-2 with age, hemoglobin, serum albumin, estimated glomerular filtration rate, hypertension, type 2 diabetes mellitus and cerebral infarction has a high predictive value for the risk of thoracic aortic calcification as well as cardiovascular and cerebrovascular events in non-dialysis patients.

In the current process of talent cultivation in biology majors,some challenges like teaching content that lags behind the forefront of scientific research,instructional models that deviate from the principles of effective knowledge transmission,and evaluation systems that lack dimensions reflecting scientific innovation.As a strategy of tackling challenges,the Genetic Engineering teaching team,drawing on theoretical analysis and extensive teaching practice,has explored a reform of the instructional model from the perspective of integrating theory with practice.This effort led to the development of a research-oriented teaching model characterized by four iterative stages:knowledge instruction,thinking exercises,practical operation,and feedback evaluation.This model is ground-ed in five core elements of scientific thinking:criticality,coherence,simplicity,logic,and integrity.Imple-mentation follows the four-step framework,emphasizing structured knowledge delivery,cultivation of analytical thinking,hands-on experimentation,and comprehensive feedback.After one semester of application,it was found that through reconstructed knowledge systems,immersive simulations of research contexts,realistic problem-solving of technical bottlenecks and all-round feedback,this teaching model effectively fosters scientific thinking among both instructors and students,significantly enhances students'scientific research ca-pabilities and improves overall teaching effectiveness.

Objective To explore the the detection of MMP-2,-7,-9,and-12 enzymatic activity using the CEACAM1-derived fluorescent peptide substrate Site 84,investigating the application of substrate Site 84 to distinguishing between MMP-2 and MMP-9 in the gelatinase spectrum of MMPs.Methods The fluorescent enzymatic method was employed to observe the detection of MMP-2,-7,-9,and-12 enzymatic activity using substrate Site 84;further observations were made on the sensitivity and specificity of substrate Site 84 to enzymatic activity of MMP-2 and MMP-9 within the gelatinase spectrum;the kinetic parameters(Km and Kcat)of the enzymatic reaction between substrate Site 84 and MMP-2 were obtained.Results Using Site 84 as a substrate,enzymic kinetics curves for MMP-12,-7,-2 were obtained,but no enzymatic activity curve for MMP-9 was observed.Furthermore,Site 84 specifically detected the enzymatic activity of MMP-2 within the gelatinase spectrum,capable of detecting low concentration(0.6 μM)of MMP-2 enzymatic activity,but no obvious enzymatic reaction was observed for high concentration(6 μM)of MMP-9;the kinetics parameters for the enzymatic reaction between Site 84 and MMP-2 were Km=315 μM,Kcat/Km=2 565/MS.Conclusion The CEACAM1-derived substrate Site 84 serves as a novel fluorescent peptide substrate,enabling the acquisition of enzymatic activity curves for MMP-12,-7 and-2,and specifically detecting the enzymatic activity of MMP-2 within the MMP gelatinase spectrum.

OBJECTIVES: This study aimed to evaluate the repeatability and reliability of a self-developed domestic wireless surface electromyography (sEMG) system (Oralmetry) in assessing the activity of the temporalis and masseter muscles to provide theoretical support for its clinical application. METHODS: Twenty-two volunteers were recruited. Through multiple repeated measurements, the sEMG signals of bilateral anterior temporalis and masseter muscles during maximum voluntary clenching were collected using the self-developed sEMG device, Oralmetry, and two commercial sEMG devices (Zebris and Teethan), filtered, screened, and standardized. Seven sEMG indicators for assessing masticatory muscle function were calculated. The intraclass correlation coefficient (ICC) was used to evaluate the repeatability of the measurements from the three sEMG devices, and statistical analysis was conducted to compare the consistency of the seven sEMG indicators obtained from the devices. RESULTS: Among the 22 participants, the ICC values of the repeated measurements from the three sEMG devices ranged from 0.88 to 0.99. The measurements of three sEMG indicators (antero-posterior coeffificient, percentage overlapping coeffificient_MM, and percentage overlapping coeffificient_TA) obtained by Zebris were significantly different from those obtained by Oralmetry and Teethan (P<0.05). No significant differences in the measurements of the seven sEMG indicators were found between Oralmetry and Teethan. CONCLUSIONS Oralmetry and the two commercial sEMG devices demonstrated good repeatability in capturing sEMG indicators for evaluating masticatory muscle function. In particular, Oralmetry showed the highest ICC values. All three devices also exhibited good consistency in measuring sEMG indicators, and a high agreement was observed between the two wireless sEMG devices (Oralmetry and Teethan). These findings provide theoretical support for the clinical application of Oralmetry.
Humans ; Electromyography/methods* ; Masseter Muscle/physiology* ; Masticatory Muscles/physiology* ; Wireless Technology ; Reproducibility of Results ; Temporal Muscle/physiology* ; Male ; Adult ; Female ; Young Adult