Developing and identifying effective medications and targets for treating hepatic fibrosis is an urgent priority. Our previous research demonstrated the efficacy of artesunate (ART) in alleviating liver fibrosis by eliminating activated hepatic stellate cells (HSCs). However, the underlying mechanism remains unclear despite these findings. Notably, endocytic adaptor protein (NUMB) has significant implications for treating hepatic diseases, but current research primarily focuses on liver regeneration and hepatocellular carcinoma. The precise function of NUMB in liver fibrosis, particularly its ability to regulate HSCs, requires further investigation. This study aims to elucidate the role of NUMB in the anti-hepatic fibrosis action of ART in HSCs. We observed that the expression level of NUMB significantly decreased in activated HSCs compared to quiescent HSCs, exhibiting a negative correlation with the progression of liver fibrosis. Additionally, ART induced senescence in activated HSCs through the NUMB/P53 tumor suppressor (P53) axis. We identified NUMB as a crucial regulator of senescence in activated HSCs and as a mediator of ART in determining cell fate. This research examines the specific target of ART in eliminating activated HSCs, providing both theoretical and experimental evidence for the treatment of liver fibrosis.
Hepatic Stellate Cells/cytology* ; Liver Cirrhosis/genetics* ; Artesunate/pharmacology* ; Cellular Senescence/drug effects* ; Membrane Proteins/genetics* ; Animals ; Humans ; Nerve Tissue Proteins/genetics* ; Tumor Suppressor Protein p53/genetics* ; Male ; Mice

Objective:To construct a model of nursing teaching rounds in dental clinics, and to provide a reference for the implementation of nursing teaching activities in dental clinics.Methods:Using the constructivism learning theory framework, we developed a preliminary draft of a teaching rounds model for dental outpatient nursing according to literature review, cross-sectional survey, and brainstorming results. Two rounds of Delphi consultation with 21 experts from across China were conducted to determine the teaching rounds model for dental outpatient nursing. Data entry and statistical analysis were performed with Excel 2016 and SPSS 26.0 software.Results:In the two rounds of expert consultation, the questionnaire response rates were both 100%; the expert authority coefficients were 0.865 and 0.873, respectively; and the Kendall's coefficients of concordance were 0.116 and 0.164, respectively. The established dental outpatient nursing teaching rounds model included 7 first-level items and 22 second-level items.Conclusions:The dental outpatient nursing teaching rounds model constructed in this study is scientific, reliable, and practical, which can provide guidance for conducting nursing teaching rounds in dental clinics.