biostudies-literatureUnknown122Conde R<h4>Background</h4>Nuclear magnetic resonance (NMR) spectroscopy enables the characterisation of lipoprotein sub-particles, providing a more detailed lipid profile than the conventional lipid measurements, with potential clinical relevance, particularly in cardiovascular disease (CVD), which remains the leading cause of mortality worldwide. Nonetheless, for clinical implementation, it is essential to first determine the normal variation of lipoprotein parameters by age and sex.<h4>Methods</h4>This cross-sectional study analysed a large dataset of 31,275 serum or plasma samples from five different countries using the B.I.LISA™ NMR-based platform, quantifying 112 lipoprotein parameters, including subclass size and concentration. Lipoprotein parameters from specific cohorts were fitted to a QEBioMedicine106021https://www.ebi.ac.uk/biostudies/studies/S-EPMC12648477biostudies-literatureAge- and sex-specific lipoprotein profiles in general and cardiometabolic population cohorts.PMC12648477Habisch HLu SCSeco MLValenti LSorando-Fernandez MPLodge SNitschke PYeap BBVerde IGonzalez-Valle BLope VFernandez-Berges DCannet CWist JArana EEmbade NMato JMMillet OBizkarguenaga MHaudum CHernandez GCiveira FHunter MLCenarro AMeijide SSalazar AMHolmes EGil-Redondo RMadl TSousa ANicholson JKDiercks TSpraul Mde Diego ACarracedo AHui JSchafer HUnda-Urzaiz MOliveira NGonzalez Fernandez MRCastello AZaro Bastanzuri MJVerheyen NConde RObermayer-Pietsch BfalseAge- and sex-specific lipoprotein profiles in general and cardiometabolic population cohorts.<h4>Background</h4>Nuclear magnetic resonance (NMR) spectroscopy enables the characterisation of lipoprotein sub-particles, providing a more detailed lipid profile than the conventional lipid measurements, with potential clinical relevance, particularly in cardiovascular disease (CVD), which remains the leading cause of mortality worldwide. Nonetheless, for clinical implementation, it is essential to first determine the normal variation of lipoprotein parameters by age and sex.<h4>Methods</h4>This cross-sectional study analysed a large dataset of 31,275 serum or plasma samples from five different countries using the B.I.LISA™ NMR-based platform, quantifying 112 lipoprotein parameters, including subclass size and concentration. Lipoprotein parameters from specific cohorts were fitted to a Q2025-01-01T00:00:00Z2025 Nov2026-06-05T18:51:25.228Z2026-05-20T03:13:03.026ZS-EPMC126484774120722110.1016/j.ebiom.2025.106021