A lipidomics score captures improved dietary fat quality and is related to cardiometabolic risk

Abstract Funding Acknowledgements Type of funding sources: Other. Main funding source(s): Grant from the German Federal Ministry of Education and Research (Bundesministerium fuer Bildung und Forschung) to the German Center for Diabetes Research (DZD grant 82DZD00302), Joint Programming Initiative A Healthy Diet for a Healthy Life, as part of the ERA-HDHL cofounded joint call Biomarkers for Nutrition and Health (01EA1704). Background Deep lipidomics might more accurately capture metabolic effects of dietary interventions that aim to modulate the fat quality of the habitual diet compared to standard risk markers. We generated a multi-lipid score (MLS) to summarize the effect of a dietary intervention aiming to substitute saturated with unsaturated fats and assessed its association with incident cardiometabolic diseases. Methods The Dietary Intervention and VAScular function study (DIVAS) was a 16-week, randomized, controlled parallel unsaturated-for-saturated fat substitution (8% total energy, Figure 1A) trial in hundred-thirteen men and women. In regression models, we examined the diet effect on single lipids and combined the significantly affected lipids (P