| abstract |
Embodiments of the present disclosure relate generally to the analysis and identification of global metabolic changes in Alzheimer's disease (AD). More particularly, the present disclosure provides materials and methods relating to the use of metabolornics as a biochemical approach to identify peripheral metabolic changes in AD patients and correlate them to cerebrospinal fluid pathology markers, imaging features, and cognitive performance. Defining metabolic changes during AD disease trajectory and their relationship to clinical phenotypes provides a powerful roadmap for drug and biomarker discovery. |