Blood Fatty Acid Fingerprint to Predict Risk for Total Mortality

Circulating levels of blood fatty acids are being used to stratify patients into risk categories with regard to the development of chronic disease and death. The fatty acids most clearly associated with reduced risk for cardiovascular disease (CDV) and for death from any cause are the marine omega-3 fatty acids, EPA and DHA. However, these are just two fatty acids representing a single fatty acid family. Is it possible to use all of the information in the 28-fatty acid profile – a “fingerprint”- to more accurately predict risk of mortality?

The aim of this project is to build a valid blood fatty acid fingerprint that predicts risk of total mortality more accurately than the current Framingham Risk Score. The Principal Investigator will use the Framingham Heart Study’s Offspring Cohort to build a blood fatty acid risk predictor for total mortality based on longitudinal data and compare the predictive power with the Framingham Risk Score.

Institution: OmegaQuant, LLC
Principal Investigator: William Harris, PhD
Amount Awarded: $27,500
Year Awarded: 2018

Read more: Using an Erythrocyte Fatty Acid Fingerprint to Predict Risk of All-Cause Mortality: the Framingham Offspring Cohort

Learn more about the IAFNS Dietary Lipids Committee.