Lipid Aging Clocks as predictive and prognostic biomarker in cancer and inflammaging

Abstract

Lipids are a heterogenous class of molecules involved in signaling, cell structure and energy storage. Lipid metabolism is dysregulated in aging and aging-related diseases such as cancer, metabolic disorders, and neurodegeneration. In this study, we developed a biological age predictor – a Lipid Aging Clock - based on human serum lipidome data of pancreatic ductal adenocarcinoma (PDAC) patients, that has a Pearson correlation coefficient of 0.81 to chronological age with a median absolute error of 4.5 years. This shows that it is possible to build aging clocks measuring aging from pathological cohorts.