Age- and sex-specific lipoprotein profiles in general and cardiometabolic population cohorts.
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Conde Ricardo, Gil-Redondo Rubén, Bizkarguenaga Maider, Lodge Samantha, Nitschke Phillip, de Diego Ángela, González-Valle Beatriz, Hui Jennie, Hunter Michael L, Yeap Bu B, Cenarro Ana, Lope Virginia, Habisch Hansjörg, Haudum Christoph, Verheyen Nicolas, Obermayer-Pietsch Barbara, Zaro Bastanzuri María José, González Fernández María Reyes, Fernández-Bergés Daniel, Salazar Ane Miren, Sorando-Fernandez Maria Pilar, Meijide Susana, Hernandez Gonzalo, Arana Eunate, Seco Maria Luisa, Sousa Adriana, Oliveira Nádia, Verde Ignacio, Madl Tobias, Unda-Urzaiz Miguel, Carracedo Arkaitz, Diercks Tammo, Castelló Adela, Schäfer Hartmut, Spraul Manfred, Cannet Claire, Embade Nieves, Valenti Luca, Civeira Fernando, Lu Shelly C, Holmes Elaine, Wist Julien, Nicholson Jeremy K, Mato José M, Millet Oscar
Аннотация
METHODS: 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 Quantile Generalised Additive Model (QGAM) to calculate the different percentiles as a function of age and sex.
FINDINGS: A sub-cohort of individuals belonging to non-oriented cohorts (27,470 individuals) showed that lipoprotein parameters exhibit distinct sex- and age-dependent patterns, with inflection points observed around 44 and 60 years in women and around 60 years in men, aligning with known ageing acceleration models. The sub-cohort of 3021 individuals showing cardiometabolic risk factors was used to evaluate the effect of obesity, hypertension and diabetes in the lipoprotein distribution. Finally, we analysed the lipoprotein parameters that align with SCORE2 (a well-known CVD risk predictor) in an age- and sex-dependent manner. Many NMR-derived parameters effectively distinguish between low and high/very high CVD risk profiles, with very low-density (VLDL)-associated parameters demonstrating the highest sensitivity across a broad age range.
INTERPRETATION: Our findings provide reference values for NMR-derived lipoprotein parameters by age and sex, enabling their accurate interpretation in the context of cardiovascular disease risk stratification.
FUNDING: The specific funding of this article is provided in the acknowledgements section.