The consortium partners from DIfE and the University of Reading investigated the molecular relationships of diet, lipid biomarkers and the development of metabolic diseases. The researchers used lipidomics, a modern analytical method, to identify those lipids that are statistically associated with cardiovascular diseases and type 2 diabetes. In addition, the scientists found that a diet with an increased proportion of unsaturated fatty acids leads to a reduction in risk-associated lipids and an increase in low-risk lipids. 

The results and complete article can be found here: “Deep Lipidomics in Human Plasma: Cardiometabolic Disease Risk and Effect of Dietary Fat Modulation"