Application of machine learning models in predicting insomnia severity: an integrative approach with constitution of traditional Chinese medicine.

Objective: This study sought to explore the utility of machine learning models in predicting insomnia severity based on Traditional Chinese Medicine (TCM) constitution classifications, with an aim to discuss the potential applications of such models in the treatment and prevention of insomnia.

Methods: We analyzed a dataset of 165 insomnia patients from the Shanghai Minhang District Integrated Traditional Chinese and Western Medicine Hospital. TCM constitution was assessed using a standardized Constitution in Chinese Medicine (CCM) scale.

Reciprocal Regulation Between O-GlcNAcylation and β-Catenin Facilitates Cell Viability and Inhibits Apoptosis in Liver Cancer.

Abnormal expression of O-Linked β-N-acetylglucosamine (O-GlcNAc) and β-catenin is a general feature of cancer and contributes to transformed phenotypes. In this study, we identified the interaction between O-GlcNAc and β-catenin, and explored their effects on the progression of liver cancer. Our results demonstrated that upregulation of O-GlcNAc was induced by high glucose, whereas the application of PuGNAc and GlcNAc increased β-catenin protein expression levels, as well as the protein's stability and nuclear accumulation in the liver cancer cell lines HEP-G2 and HuH-7.