Age- and sex-specific lipoprotein profiles in general and cardiometabolic population cohorts
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 (Universidad de Zaragoza) ; Lu, Shelly C. ; Holmes, Elaine ; Wist, Julien ; Nicholson, Jeremy K. ; Mato, José M. ; Millet, Oscar
Resumen: 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.
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.
Idioma: Inglés
DOI: 10.1016/j.ebiom.2025.106021
Año: 2025
Publicado en: EBioMedicine 122 (2025), 106021 [13 pp.]
ISSN: 2352-3964
Tipo y forma: Article (Published version)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material.
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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.
Idioma: Inglés
DOI: 10.1016/j.ebiom.2025.106021
Año: 2025
Publicado en: EBioMedicine 122 (2025), 106021 [13 pp.]
ISSN: 2352-3964
Tipo y forma: Article (Published version)
Área (Departamento): Area Medicina (Dpto. Medicina, Psiqu. y Derm.)
You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you may not distribute the modified material. Exportado de SIDERAL (2025-11-27-15:16:22)
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Record created 2025-11-27, last modified 2025-11-27