Objective To identify key patterns of programmed cell death(PCD)and core genes during ischemia-reperfusion injury(IRI)in kidney transplantation.Methods Kidney transplant datasets were obtained from gene expression database,and PCD-related differentially expressed genes were screened.The non-negative matrix factorization algorithm was used to classify patients and analyze subtype-specific biological functions and key PCD patterns.Machine learning models combined with univariate Cox regression and Kaplan-Meier survival analysis were employed to identify core PCD genes during IRI in kidney transplantation and explore their correlation with key PCD patterns.A rat kidney transplant model was used to assess IRI severity through hematoxylin-eosin staining,serum creatinine(Scr),blood urea nitrogen(BUN),and Western blotting for key gene protein expression.Results Fourteen PCD-related genes were identified.Patients were classified into metabolic(subtype 1)and inflammatory(subtype 2)subtypes.Subtype 2 activated four key PCD patterns:pyroptosis,necroptosis,apoptosis and immunogenic cell death.The optimal model(XGBoost-CV:10 fold+Lasso-CV:10 fold)and survival analysis identified MCL1,BAG3,and RHOB as core PCD genes during IRI in kidney transplantation,which were broadly correlated with key PCD patterns.Experimental results showed that compared to the sham group,rats in the model group had more severe tubular injury,higher Scr and BUN levels,and increased BAG3,RHOB and MCL1 protein expression(all P<0.001).Conclusions These four PCD patterns are crucial in the pathogenesis of IRI in kidney transplantation.MCL1,BAG3 and RHOB may serve as potential biomarkers and therapeutic targets for IRI in kidney transplantation.

Aim To clarify the mechanism by which Qishen Yixin Granules improved microcirculation vas-cular endothelial dysfunction(VED)in mice,through activating the Nrf2/HO-1 signaling pathway to regulate oxidative stress.Methods C57 mice were randomly divided into six groups:blank group,model group,pos-itive drug group,and low-,medium-,and high-dose groups of Qishen Yixin Granules.The VED model was established by long-term infusion of Ang Ⅱ combined with a high-fat diet.Each treatment group received the corresponding drug intervention.After four weeks of drug intervention,cardiac function was assessed by echocardiography.Carstairs staining was used to ob-serve the formation of microthrombi in myocardial tis-sue.The micro vascular ischemia was evaluated by Hei-denhain staining.The ultrastructure of endothelial cells was observed by electron microscopy.The levels of EMPs,ROS,NO,ET-1,TF,TM,VWF,and TXA2 in serum were measured by ELISA.The expression levels of MDA,SOD,and GSH-Px in mouse heart tissue were determined by chemical methods.Cardiac microvascu-lar density and the expression of Nrf2,Keap1,and HO-1 proteins were detected by Immunohistochemical stai-ning.The protein expressions of Keap1,cytoplasmic Nrf2,nuclear Nrf2,and HO-1 in myocardial tissue were detected by Western blot.Results Qishen Yixin Granules could effectively improve the cardiac function of mice,alleviate the damage of endothelial cells and endothelial function.They could up-regulate serum NO levels and the activities of antioxidant enzymes SOD and GSH-Px,while down-regulating the expression of ROS and vascular inflammatory injury factors such as ET-1,VWF,TXA2,TF,TM,and EMPs.Qishen Yixin Granules also increased the positive counts of CD34,Nrf2,and HO-1,as well as microvessel density.Fur-thermore,they inhibited the expression of MDA,Keap1,and cytoplasmic Nrf2 protein in myocardial tis-sue,while increasing the expression of nuclear proteins HO-1 and Nrf2.Conclusions Qishen Yixin Granules may inhibit oxidative stress and inflammatory response by regulating the Nrf2/HO-1 signaling pathway,thereby improving vascular endothelial damage and cardiac function in VED mice.

Objective To identify key patterns of programmed cell death(PCD)and core genes during ischemia-reperfusion injury(IRI)in kidney transplantation.Methods Kidney transplant datasets were obtained from gene expression database,and PCD-related differentially expressed genes were screened.The non-negative matrix factorization algorithm was used to classify patients and analyze subtype-specific biological functions and key PCD patterns.Machine learning models combined with univariate Cox regression and Kaplan-Meier survival analysis were employed to identify core PCD genes during IRI in kidney transplantation and explore their correlation with key PCD patterns.A rat kidney transplant model was used to assess IRI severity through hematoxylin-eosin staining,serum creatinine(Scr),blood urea nitrogen(BUN),and Western blotting for key gene protein expression.Results Fourteen PCD-related genes were identified.Patients were classified into metabolic(subtype 1)and inflammatory(subtype 2)subtypes.Subtype 2 activated four key PCD patterns:pyroptosis,necroptosis,apoptosis and immunogenic cell death.The optimal model(XGBoost-CV:10 fold+Lasso-CV:10 fold)and survival analysis identified MCL1,BAG3,and RHOB as core PCD genes during IRI in kidney transplantation,which were broadly correlated with key PCD patterns.Experimental results showed that compared to the sham group,rats in the model group had more severe tubular injury,higher Scr and BUN levels,and increased BAG3,RHOB and MCL1 protein expression(all P<0.001).Conclusions These four PCD patterns are crucial in the pathogenesis of IRI in kidney transplantation.MCL1,BAG3 and RHOB may serve as potential biomarkers and therapeutic targets for IRI in kidney transplantation.

Aim To clarify the mechanism by which Qishen Yixin Granules improved microcirculation vas-cular endothelial dysfunction(VED)in mice,through activating the Nrf2/HO-1 signaling pathway to regulate oxidative stress.Methods C57 mice were randomly divided into six groups:blank group,model group,pos-itive drug group,and low-,medium-,and high-dose groups of Qishen Yixin Granules.The VED model was established by long-term infusion of Ang Ⅱ combined with a high-fat diet.Each treatment group received the corresponding drug intervention.After four weeks of drug intervention,cardiac function was assessed by echocardiography.Carstairs staining was used to ob-serve the formation of microthrombi in myocardial tis-sue.The micro vascular ischemia was evaluated by Hei-denhain staining.The ultrastructure of endothelial cells was observed by electron microscopy.The levels of EMPs,ROS,NO,ET-1,TF,TM,VWF,and TXA2 in serum were measured by ELISA.The expression levels of MDA,SOD,and GSH-Px in mouse heart tissue were determined by chemical methods.Cardiac microvascu-lar density and the expression of Nrf2,Keap1,and HO-1 proteins were detected by Immunohistochemical stai-ning.The protein expressions of Keap1,cytoplasmic Nrf2,nuclear Nrf2,and HO-1 in myocardial tissue were detected by Western blot.Results Qishen Yixin Granules could effectively improve the cardiac function of mice,alleviate the damage of endothelial cells and endothelial function.They could up-regulate serum NO levels and the activities of antioxidant enzymes SOD and GSH-Px,while down-regulating the expression of ROS and vascular inflammatory injury factors such as ET-1,VWF,TXA2,TF,TM,and EMPs.Qishen Yixin Granules also increased the positive counts of CD34,Nrf2,and HO-1,as well as microvessel density.Fur-thermore,they inhibited the expression of MDA,Keap1,and cytoplasmic Nrf2 protein in myocardial tis-sue,while increasing the expression of nuclear proteins HO-1 and Nrf2.Conclusions Qishen Yixin Granules may inhibit oxidative stress and inflammatory response by regulating the Nrf2/HO-1 signaling pathway,thereby improving vascular endothelial damage and cardiac function in VED mice.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Objective To propose a multiple regression-variational auto-encoders(MR-VAE)model to realize precise and non-invasive prediction of intra-abdominal pressure(IAP)in critically ill patients.Methods At first,a dataset was constructed by retrospectively analysing baseline characteristics and clinical indicators of 100 critically ill patients admitted to the Intensive Care Unit of Daping Hospital of Army Medical University between 30 August 2019 and 30 March 2021.Then,a MR-VAE prediction model was developed by integrating a feedforward neural network for supervised regression onto a variational autoencoder(VAE)framework and incorporating multiple regression strategies to mitigate feature interference.Finally,the MR-VAE model had its performance evaluated by its comparison with five classical models including support vector machines(SVM),convolutional neural networks(CNN),Scikit-learn integrated model(SIM),multi-layer perceptron(MLP)and K-nearest neighbors(KNN),and its prediction accuracy verified by testing the data of 10 randomly selected patients.Results The MR-VAE model behaved the best when compared with the five classical models,with a mean squared error(MSE)of 0.207,a root mean square error(RMSE)of 0.454,a mean absolute error(MAE)of 0.361,a median absolute deviation(MAD)of 0.243,an explained variance score(EVS)of 0.814 and a R2of 0.823,which also outperformed the five models in fitting performance,convergence and final loss.In random sample testing,the MR-VAE model exhibited high consistency between predicted and actual values.Conclusion The MR-VAE model proposed can accurately predict IAP,which has great potential in reducing the repeated measurements of IAP in critically ill patients and providing new ideas for the early diagnosis and treatment of IAH.

Background and Aims:Sleeve gastrectomy(SG)has become the most widely performed bariatric procedure worldwide,but postoperative gastroesophageal reflux disease(GERD)remains a major concern.This multicenter study aimed to identify independent risk factors associated with GERD after SG to guide preoperative assessment and intraoperative management.Methods:Clinical data of 672 patients who underwent SG between January 2020 and December 2022 in six bariatric centers and completed a 12-month follow-up were retrospectively analyzed.Demographic characteristics,esophagogastric junction(EGJ)integrity graded by the AFS system,operative parameters,and postoperative outcomes were compared between patients with and without GERD.Multivariate logistic regression was used to identify predictors of postoperative GERD.Results:The overall incidence of GERD after SG was 24.7%(166/672).Multivariate analysis revealed that a preoperative BMI>35 kg/m2(OR=1.68,P=0.033),EGJ integrity AFS grade>2(OR=2.90,P=0.006),and preoperative reflux symptoms(OR=2.44,P=0.030)were independent risk factors for GERD.A staple line more than 1 cm from the angle of His(OR=0.45,P<0.001)and a bougie size>36 Fr(OR=0.08,P=0.001)were protective factors.Conclusion:High BMI,impaired EGJ integrity,and preoperative reflux symptoms significantly increase the risk of GERD after SG,whereas adequate preservation of the His angle and appropriate bougie calibration may reduce it.Comprehensive preoperative EGJ assessment and standardized surgical techniques are essential for minimizing postoperative reflux.

Background and Aims:Sleeve gastrectomy(SG)has become the most widely performed bariatric procedure worldwide,but postoperative gastroesophageal reflux disease(GERD)remains a major concern.This multicenter study aimed to identify independent risk factors associated with GERD after SG to guide preoperative assessment and intraoperative management.Methods:Clinical data of 672 patients who underwent SG between January 2020 and December 2022 in six bariatric centers and completed a 12-month follow-up were retrospectively analyzed.Demographic characteristics,esophagogastric junction(EGJ)integrity graded by the AFS system,operative parameters,and postoperative outcomes were compared between patients with and without GERD.Multivariate logistic regression was used to identify predictors of postoperative GERD.Results:The overall incidence of GERD after SG was 24.7%(166/672).Multivariate analysis revealed that a preoperative BMI>35 kg/m2(OR=1.68,P=0.033),EGJ integrity AFS grade>2(OR=2.90,P=0.006),and preoperative reflux symptoms(OR=2.44,P=0.030)were independent risk factors for GERD.A staple line more than 1 cm from the angle of His(OR=0.45,P<0.001)and a bougie size>36 Fr(OR=0.08,P=0.001)were protective factors.Conclusion:High BMI,impaired EGJ integrity,and preoperative reflux symptoms significantly increase the risk of GERD after SG,whereas adequate preservation of the His angle and appropriate bougie calibration may reduce it.Comprehensive preoperative EGJ assessment and standardized surgical techniques are essential for minimizing postoperative reflux.

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

This study aims to investigate the protective effects and mechanisms of polysaccharide extract PCP1 from Polygonatum cyrtonema in ameliorating cerebral ischemia-reperfusion(I/R) injury in rats through modulation of the Toll-like receptor 4(TLR4)/NOD-like receptor protein 3(NLRP3) signaling pathway. In vivo, SD rats were randomly divided into the sham group, model group, PCP1 group, nimodipine(NMDP) group, and TLR4 signaling inhibitor(TAK-242) group. A middle cerebral artery occlusion/reperfusion(MCAO/R) model was established, and neurological deficit scores and infarct size were evaluated 24 hours after reperfusion. Hematoxylin-eosin(HE) and Nissl staining were used to observe pathological changes in ischemic brain tissue. Transmission electron microscopy(TEM) assessed ultrastructural damage in cortical neurons. Enzyme-linked immunosorbent assay(ELISA) was used to measure the levels of interleukin-1β(IL-1β), interleukin-6(IL-6), interleukin-18(IL-18), tumor necrosis factor-α(TNF-α), interleukin-10(IL-10), and nitric oxide(NO) in serum. Immunofluorescence was used to analyze the expression of TLR4 and NLRP3 proteins. In vitro, a BV2 microglial cell oxygen-glucose deprivation/reperfusion(OGD/R) model was established, and cells were divided into the control, OGD/R, PCP1, TAK-242, and PCP1 + TLR4 activator lipopolysaccharide(LPS) groups. The CCK-8 assay evaluated BV2 cell viability, and ELISA determined NO release. Western blot was used to analyze the expression of TLR4, NLRP3, and downstream pathway-related proteins. The results indicated that, compared with the model group, PCP1 significantly reduced neurological deficit scores, infarct size, ischemic tissue pathology, cortical cell damage, and the levels of inflammatory factors IL-1β, IL-6, IL-18, TNF-α, and NO(P<0.01). It also elevated IL-10 levels(P<0.01) and decreased the expression of TLR4 and NLRP3 proteins(P<0.05, P<0.01). Moreover, in vitro results showed that, compared with the OGD/R group, PCP1 significantly improved BV2 cell viability(P<0.05, P<0.01), reduced cell NO levels induced by OGD/R(P<0.01), and inhibited the expression of TLR4-related inflammatory pathway proteins, including TLR4, myeloid differentiation factor 88(MyD88), tumor necrosis factor receptor-associated factor 6(TRAF6), phosphorylated nuclear factor-kappaB dimer RelA(p-p65)/nuclear factor-kappaB dimer RelA(p65), NLRP3, cleaved-caspase-1, apoptosis-associated speck-like protein(ASC), GSDMD-N, IL-1β, and IL-18(P<0.05, P<0.01). The protective effects of PCP1 were reversed by LPS stimulation. In conclusion, PCP1 ameliorates cerebral I/R injury by modulating the TLR4/NLRP3 signaling pathway, exerting anti-inflammatory and anti-pyroptotic effects.
Animals ; Toll-Like Receptor 4/genetics* ; NLR Family, Pyrin Domain-Containing 3 Protein/genetics* ; Rats, Sprague-Dawley ; Rats ; Reperfusion Injury/genetics* ; Male ; Signal Transduction/drug effects* ; Polysaccharides/isolation & purification* ; Polygonatum/chemistry* ; Brain Ischemia/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Mice ; Humans