A diagnostic model for atherosclerosis established on the basis of autophagy-related genes

Abstract

Abstract Background Atherosclerosis, a common cardiovascular disease, has a complex etiology. In recent years, autophagy has been recognized to play a significant role in the development of atherosclerosis. This study aimed to establish a diagnostic model for atherosclerosis based on autophagy-related genes. Objectives Our research aims to establish a diagnostic model for atherosclerosis based on autophagy-related genes. Methods GSE100927 and GSE28829 were downloaded from the GEO website (https:// www. ncbi. nlm. nih. gov/ geo/). Autopophagy-related genes were obtained from the Human Autophagy Database (HADb) database (http://www.autophagy.lu/index.html). Then, taking the intersection, we obtained 19 differentially expressed autophagy-related genes. Using machine learning methods and validation with GSE28829, we identified six genes. These six genes were used to construct a new diagnostic model for arteriosclerosis, and a nomogram was generated. Results The results demonstrated that the new model exhibited good accuracy and sensitivity in diagnosing atherosclerosis. Additionally, we explored the role of these six genes in 28 types of immune cells through immune infiltration analysis. Furthermore, we validated the differential expression of the diagnostic model in normal mice and mice with atherosclerosis through in vivo experiments. Conclusion We successfully established a diagnostic model for atherosclerosis based on autophagy-related genes. This model provides new insights and methods for the early diagnosis and treatment of atherosclerosis. This research is expected to lead to the development of new strategies for the prevention and treatment of atherosclerosis.