Combining lipidomics and machine learning to measure clinical lipids in dried blood spots

Introduction Blood-based sample collection is a challenge, and dried blood spots (DBS) represent an attractive alternative. However, for DBSs to be an alternative to venous blood it is important that these samples are able to deliver comparable associations with clinical outcomes. To explore this we looked to see if lipid profle data could be used to predict the concentration of triglyceride, HDL, LDL and total cholesterol in DBSs using markers identifed in plasma. Objectives To determine if DBSs can be used as an alternative to venous blood in both research and clinical settings, and to deter... Mehr ...