HDL quality features revealed by proteome–lipidome connectivity are associated with atherosclerotic disease

Lipoprotein,especially high-density lipoprotein(HDL),particles are composed of multiple heterogeneous subgroups containing various proteins and lipids.The molecular distribution among these subgroups is closely related to cardiovascular disease(CVD).Here,we established high-resolution proteomics and lipidomics(HiPL)methods to depict the molecular profiles across lipoprotein(Lipo-HiPL)and HDL(HDL-HiPL)subgroups by optimizing the resolution of anion-exchange chromatography and comprehensive quantification of proteins and lipids on the omics level.Furthermore,based on the Pearson correlation coefficient analysis of molecular profiles across high-resolution subgroups,we achieved the relationship of proteome–lipidome connectivity(PLC)for lipoprotein and HDL particles.By application of these methods to high-fat,high-cholesterol diet-fed rabbits and acute coronary syndrome(ACS)patients,we uncovered the delicate dynamics of the molecular profile and reconstruction of lipoprotein and HDL particles.Of note,the PLC features revealed by the HDL-HiPL method discriminated ACS from healthy individuals better than direct proteome and lipidome quantification or PLC features revealed by the Lipo-HiPL method,suggesting their potential in ACS diagnosis.Together,we established HiPL methods to trace the dynamics of the molecular profile and PLC of lipoprotein and even HDL during the development of CVD.