Lipidomics reveals a remarkable diversity of lipids in human plasma. In this study, we have performed an in-depth lipidomic analysis of human plasma from healthy individuals and subjects with metabolic syndrome (MetS) in order to determine the lipidomic profile that allows prognosis of a pathological subpopulation with altered high-density lipoprotein (HDL) metabolism. The MetS population was categorized as having pathological or nonpathological HDL. Anthropometric parameters, cardiovascular risk markers, and lipoprotein subclasses of HDL and low-density lipoproteins were also evaluated. Lipidomic analysis revealed 357 differential molecules that were clustered (k means) in the two groups. The molecules identified in the whole lipidome showed that MetS subjects presented lower levels of glycerolipids and higher levels of glycerophospholipids with respect to control subjects. In contrast, when only statistically differential lipids were taken into account, differences were found between the two groups in almost cases. Furthermore, levels of saturated fatty acids were higher in patients with pathological HDL levels than in controls, whereas levels of unsaturated fatty acids were lower. These results highlight the potential of lipidomics as a clinical tool for risk assessment and monitoring of disease.
Keywords: lipid peroxidation; lipids species; lipoprotein metabolism; mass spectrometry; peroxidizability index.
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