非酒精性脂肪性肝病(Non-alcoholic fatty liver disease, NAFLD)包括一系列的肝脏表现,从肝脏脂肪变性开始,可能演变为非酒精性脂肪性肝炎(Non-alcoholic steatohepatitis, NASH)、纤维化、肝硬化甚至肝细胞癌(Hepatocellular carcinom...非酒精性脂肪性肝病(Non-alcoholic fatty liver disease, NAFLD)包括一系列的肝脏表现,从肝脏脂肪变性开始,可能演变为非酒精性脂肪性肝炎(Non-alcoholic steatohepatitis, NASH)、纤维化、肝硬化甚至肝细胞癌(Hepatocellular carcinoma, HCC)。其发病率在全球范围内呈上升趋势。尽管NAFLD是一种与代谢紊乱相关的疾病,但它也涉及多种免疫细胞介导的炎症过程。多种免疫细胞通过分泌促炎或抗炎因子来促进或抑制肝细胞炎症,从而影响NAFLD进程。T细胞作为适应性免疫中重要的一环,包括多种淋巴细胞亚群,在NAFLD的进展中发挥着关键作用。本文综述了T淋巴细胞亚群在NAFLD发病机制中的作用,以期为非酒精性脂肪性肝病的药物干预提供新策略。Non-alcoholic fatty liver disease (NAFLD) encompasses a series of liver manifestations. Starting from hepatic steatosis, it may progress to non-alcoholic steatohepatitis (NASH), fibrosis, liver cirrhosis and even hepatocellular carcinoma (HCC). The incidence of NAFLD is on the rise globally. Although NAFLD is a disease concerning metabolic disorders, it also involves various inflammatory processes mediated by immune cells. Various immune cells promote or inhibit liver cell inflammation by secreting pro-inflammatory or anti-inflammatory factors to influence the progression of non-alcoholic fatty liver disease (NAFLD). T cells, as an important part of adaptive immunity, include multiple lymphocyte subsets and play a crucial role in the progression of NAFLD. We review the roles of T lymphocyte subsets in the pathogenesis of NAFLD, expecting to provide new strategies for the pharmaceutical intervention of non-alcoholic fatty liver disease.展开更多
Objective:To evaluate the value of real-time two-dimensional shear wave elastography(SWE)in predicting liver parenchymal stiffness in non-alcoholic fatty liver disease(NAFLD).Methods:A total of 200 NAFLD patients(70 i...Objective:To evaluate the value of real-time two-dimensional shear wave elastography(SWE)in predicting liver parenchymal stiffness in non-alcoholic fatty liver disease(NAFLD).Methods:A total of 200 NAFLD patients(70 in the mild group,70 in the moderate group,and 60 in the severe group)and 60 healthy individuals(control group)who visited the hospital from December 2023 to December 2024 underwent real-time two-dimensional SWE examinations.Results:Except for high-density lipoprotein,comparisons of body mass index and biochemical indicators showed that the severe group>moderate group>mild group>control group,with P<0.05.Comparisons of liver stiffness values also showed that the severe group>moderate group>mild group>control group,with P<0.05.Pearson correlation analysis revealed a positive correlation between liver stiffness values and body mass index,triglycerides,total cholesterol,low-density lipoprotein,fasting blood glucose,and glycosylated hemoglobin.Analysis of the ROC curve indicated that the AUC,standard deviation,and P-value for liver stiffness values were 0.901,0.025,and 0.01,respectively,suggesting that liver stiffness values can predict the severity of NAFLD.Conclusion:The real-time two-dimensional shear wave elastography(SWE)technique for diagnosing NAFLD can differentiate between NAFLD patients and healthy individuals,as well as determine liver parenchymal stiffness,thereby assisting physicians in quantifying the degree of fatty liver.展开更多
With the shift in the definition of disease from non-alcoholic fatty liver disease(NAFLD)to metabolism-associated fatty liver disease(MAFLD),as well as the rapid evolution of pathological classification and therapeuti...With the shift in the definition of disease from non-alcoholic fatty liver disease(NAFLD)to metabolism-associated fatty liver disease(MAFLD),as well as the rapid evolution of pathological classification and therapeutic targets,traditional clinical teaching models face challenges such as outdated guideline updates,disjointed translation of scientific research,and limited skill training.This study proposes a dynamic training model integrating“guidelines,clinical practice,and scientific research.”Through stratified case-based teaching(e.g.,FibroScan simulator and metabolic sand table),dynamic guideline analysis(comparing old and new evidence),and the integration of scientific thinking(visualization of CAND1 protein mechanism),a teaching system that integrates theory and practice is constructed.Innovatively developed smart assistant tools(AI decision support system,VR liver biopsy simulator)and a multi-dimensional evaluation system(deviation analysis of diagnosis and treatment pathways,milestone assessment)are used while emphasizing metabolic medicine integration(continuous glucose monitoring and digital therapy)and ethical privacy protection(federated learning framework).This model aims to cultivate students’evidence-based decision-making skills and scientific research transformation thinking through dynamic knowledge base construction and interdisciplinary collaboration,providing sustainable teaching solutions to cope with the rapid iteration of NAFLD diagnosis and treatment.展开更多
文摘非酒精性脂肪性肝病(Non-alcoholic fatty liver disease, NAFLD)包括一系列的肝脏表现,从肝脏脂肪变性开始,可能演变为非酒精性脂肪性肝炎(Non-alcoholic steatohepatitis, NASH)、纤维化、肝硬化甚至肝细胞癌(Hepatocellular carcinoma, HCC)。其发病率在全球范围内呈上升趋势。尽管NAFLD是一种与代谢紊乱相关的疾病,但它也涉及多种免疫细胞介导的炎症过程。多种免疫细胞通过分泌促炎或抗炎因子来促进或抑制肝细胞炎症,从而影响NAFLD进程。T细胞作为适应性免疫中重要的一环,包括多种淋巴细胞亚群,在NAFLD的进展中发挥着关键作用。本文综述了T淋巴细胞亚群在NAFLD发病机制中的作用,以期为非酒精性脂肪性肝病的药物干预提供新策略。Non-alcoholic fatty liver disease (NAFLD) encompasses a series of liver manifestations. Starting from hepatic steatosis, it may progress to non-alcoholic steatohepatitis (NASH), fibrosis, liver cirrhosis and even hepatocellular carcinoma (HCC). The incidence of NAFLD is on the rise globally. Although NAFLD is a disease concerning metabolic disorders, it also involves various inflammatory processes mediated by immune cells. Various immune cells promote or inhibit liver cell inflammation by secreting pro-inflammatory or anti-inflammatory factors to influence the progression of non-alcoholic fatty liver disease (NAFLD). T cells, as an important part of adaptive immunity, include multiple lymphocyte subsets and play a crucial role in the progression of NAFLD. We review the roles of T lymphocyte subsets in the pathogenesis of NAFLD, expecting to provide new strategies for the pharmaceutical intervention of non-alcoholic fatty liver disease.
文摘Objective:To evaluate the value of real-time two-dimensional shear wave elastography(SWE)in predicting liver parenchymal stiffness in non-alcoholic fatty liver disease(NAFLD).Methods:A total of 200 NAFLD patients(70 in the mild group,70 in the moderate group,and 60 in the severe group)and 60 healthy individuals(control group)who visited the hospital from December 2023 to December 2024 underwent real-time two-dimensional SWE examinations.Results:Except for high-density lipoprotein,comparisons of body mass index and biochemical indicators showed that the severe group>moderate group>mild group>control group,with P<0.05.Comparisons of liver stiffness values also showed that the severe group>moderate group>mild group>control group,with P<0.05.Pearson correlation analysis revealed a positive correlation between liver stiffness values and body mass index,triglycerides,total cholesterol,low-density lipoprotein,fasting blood glucose,and glycosylated hemoglobin.Analysis of the ROC curve indicated that the AUC,standard deviation,and P-value for liver stiffness values were 0.901,0.025,and 0.01,respectively,suggesting that liver stiffness values can predict the severity of NAFLD.Conclusion:The real-time two-dimensional shear wave elastography(SWE)technique for diagnosing NAFLD can differentiate between NAFLD patients and healthy individuals,as well as determine liver parenchymal stiffness,thereby assisting physicians in quantifying the degree of fatty liver.
文摘With the shift in the definition of disease from non-alcoholic fatty liver disease(NAFLD)to metabolism-associated fatty liver disease(MAFLD),as well as the rapid evolution of pathological classification and therapeutic targets,traditional clinical teaching models face challenges such as outdated guideline updates,disjointed translation of scientific research,and limited skill training.This study proposes a dynamic training model integrating“guidelines,clinical practice,and scientific research.”Through stratified case-based teaching(e.g.,FibroScan simulator and metabolic sand table),dynamic guideline analysis(comparing old and new evidence),and the integration of scientific thinking(visualization of CAND1 protein mechanism),a teaching system that integrates theory and practice is constructed.Innovatively developed smart assistant tools(AI decision support system,VR liver biopsy simulator)and a multi-dimensional evaluation system(deviation analysis of diagnosis and treatment pathways,milestone assessment)are used while emphasizing metabolic medicine integration(continuous glucose monitoring and digital therapy)and ethical privacy protection(federated learning framework).This model aims to cultivate students’evidence-based decision-making skills and scientific research transformation thinking through dynamic knowledge base construction and interdisciplinary collaboration,providing sustainable teaching solutions to cope with the rapid iteration of NAFLD diagnosis and treatment.
