Lipidomics in Chronic Diseases: Innovations in Biochemical Profiling and Analysis

Abstract

  To understand and diagnose chronic diseases, this study focuses on the role of lipidomics, proposed development in biomarkers, and therapy. Many biological samples from patients with different chronic diseases as well as from healthy people were examined using advanced systems of lipidomic profiling in this context. Over lipidomics, we found that cancer patients had higher concentration of some phospholipids (p<0.05) and that patients with metabolic syndrome had changes in their ceramide levels (p<0.01). We also also detected lipidomic markers for neurodegenerative diseases that particular triglyceride profiles had high disease to marker correlation coefficient of (r=0.88 p<0.001). Furthermore, interest in developing accomplishments with rational machine learning models to improve the precision in analysis of lipidomic data was acted upon, uncovering further Aerobic lipid biomarkers with an efficiency of 85% for early disease detection. These results corroborate the notion that lipidomics may provide valuable information about the chronic diseases pathophysiology and gives hope for early diagnostics, follow-up, and a concept of individual approach to treatment and prevention. Therefore, the study affirms the lipidomics as one of the critical components to advance in precision medicine and chronic disease.