About
Aging is a complex, multifactorial process characterized by a gradual decline in physiological functions, which elevates the risk of various diseases, such as neurodegenerative and cardiovascular disorders. The interaction among multilevel biomarkers (proteomic or metabolomic data, such as plasma homocysteine levels or serum uric acid levels), lifestyle choices (never smoking or quitting not for illness, no excessive alcohol use, being physically active, healthy eating habits, and healthy body shape), metabolic imbalances (ATP-III criteria), environmental influences (including air pollution and occupational hazards), and clinical parameters (like pre-existing conditions and pharmacological treatments) plays a pivotal role in influencing the aging process and its related diseases. This study aims to identify factors that affect aging-related diseases (ARDs, such as dementia, Parkinson's disease, hypertension, diabetes mellitus, and stroke) and major adverse cardiac events (MACE, including cardiovascular death, myocardial infarction, stroke, and heart failure necessitating hospitalization or intravenous treatment), to understand their interplay, and their collective impact. Furthermore, it seeks to develop predictive models for ARDs and MACE that enhance early detection and prevention, and to investigate potential therapeutic targets. We can identify high-risk individuals and implement personalized early interventions, thereby alleviating the health and economic burdens.