000164169 001__ 164169
000164169 005__ 20251127172930.0
000164169 0247_ $$2doi$$a10.1016/j.ebiom.2025.106021
000164169 0248_ $$2sideral$$a146339
000164169 037__ $$aART-2025-146339
000164169 041__ $$aeng
000164169 100__ $$aConde, Ricardo
000164169 245__ $$aAge- and sex-specific lipoprotein profiles in general and cardiometabolic population cohorts
000164169 260__ $$c2025
000164169 5060_ $$aAccess copy available to the general public$$fUnrestricted
000164169 5203_ $$aNuclear 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.
000164169 540__ $$9info:eu-repo/semantics/openAccess$$aby-nc-nd$$uhttps://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
000164169 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000164169 700__ $$aGil-Redondo, Rubén
000164169 700__ $$aBizkarguenaga, Maider
000164169 700__ $$aLodge, Samantha
000164169 700__ $$aNitschke, Phillip
000164169 700__ $$ade Diego, Ángela
000164169 700__ $$aGonzález-Valle, Beatriz
000164169 700__ $$aHui, Jennie
000164169 700__ $$aHunter, Michael L.
000164169 700__ $$aYeap, Bu B.
000164169 700__ $$aCenarro, Ana
000164169 700__ $$aLope, Virginia
000164169 700__ $$aHabisch, Hansjörg
000164169 700__ $$aHaudum, Christoph
000164169 700__ $$aVerheyen, Nicolas
000164169 700__ $$aObermayer-Pietsch, Barbara
000164169 700__ $$aZaro Bastanzuri, María José
000164169 700__ $$aGonzález Fernández, María Reyes
000164169 700__ $$aFernández-Bergés, Daniel
000164169 700__ $$aSalazar, Ane Miren
000164169 700__ $$aSorando-Fernandez, Maria Pilar
000164169 700__ $$aMeijide, Susana
000164169 700__ $$aHernandez, Gonzalo
000164169 700__ $$aArana, Eunate
000164169 700__ $$aSeco, Maria Luisa
000164169 700__ $$aSousa, Adriana
000164169 700__ $$aOliveira, Nádia
000164169 700__ $$aVerde, Ignacio
000164169 700__ $$aMadl, Tobias
000164169 700__ $$aUnda-Urzaiz, Miguel
000164169 700__ $$aCarracedo, Arkaitz
000164169 700__ $$aDiercks, Tammo
000164169 700__ $$aCastelló, Adela
000164169 700__ $$aSchäfer, Hartmut
000164169 700__ $$aSpraul, Manfred
000164169 700__ $$aCannet, Claire
000164169 700__ $$aEmbade, Nieves
000164169 700__ $$aValenti, Luca
000164169 700__ $$0(orcid)0000-0001-7043-0952$$aCiveira, Fernando$$uUniversidad de Zaragoza
000164169 700__ $$aLu, Shelly C.
000164169 700__ $$aHolmes, Elaine
000164169 700__ $$aWist, Julien
000164169 700__ $$aNicholson, Jeremy K.
000164169 700__ $$aMato, José M.
000164169 700__ $$aMillet, Oscar
000164169 7102_ $$11007$$2610$$aUniversidad de Zaragoza$$bDpto. Medicina, Psiqu. y Derm.$$cArea Medicina
000164169 773__ $$g122 (2025), 106021 [13 pp.]$$pEBioMedicine$$tEBioMedicine$$x2352-3964
000164169 8564_ $$s2629000$$uhttps://zaguan.unizar.es/record/164169/files/texto_completo.pdf$$yVersión publicada
000164169 8564_ $$s2280009$$uhttps://zaguan.unizar.es/record/164169/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000164169 909CO $$ooai:zaguan.unizar.es:164169$$particulos$$pdriver
000164169 951__ $$a2025-11-27-15:16:22
000164169 980__ $$aARTICLE