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Updated: Aug 7, 2025
Author Spotlight: Enhanced Murine AAA Model Using Elastase to Mimic Human Aneurysms
Published on: July 26, 2024
The abdominal aortic aneurysm-related disease model based on machine learning predicts immunity and m1A/m5C/m6A/m7G
Yu Tian1, Shengjie Fu1, Nan Zhang2
1Department of Vascular Surgery, The Second Hospital of Dalian Medical University, Dalian, China.
Abstract:
Introduction: Abdominal aortic aneurysms (AAA) are among the most lethal non-cancerous diseases. A comprehensive analysis of the AAA-related disease model has yet to be conducted. Methods: Weighted correlation network analysis (WGCNA) was performed for the AAA-related genes. Machine learning random forest and LASSO regression analysis were performed to develop the AAA-related score. Immune characteristics and epigenetic characteristics of the AAA-related score were explored. Results: Our study developed a reliable AAA-related disease model for predicting immunity and m1A/m5C/m6A/m7G epigenetic regulation. Discussion: The pathogenic roles of four model genes, UBE2K, TMEM230, VAMP7, and PUM2, in AAA, need further validation by in vitro and in vivo experiments.
