Autor según el artículo: Fernandez-Cidon, Barbara; Candas-Estebanez, Beatriz; Ribalta, Josep; Rock, Edmond; Guardiola-Guionnet, Montserrat; Amigo, Nuria; Padro-Miquel, Ariadna; Alia-Ramos, Pedro; Pinto-Sala, Xavier;
Departamento: Medicina i Cirurgia
Autor/es de la URV: Guardiola Guionnet, Montserrat / Ribalta Vives, Josep
Palabras clave: Subclinical atherosclerosis Small dense ldl Risk Residual cardiovascular risk Prevention Prevalence Nuclear magnetic resonance lipid profile Lipoprotein precipitation Incident cardiovascular-disease Density-lipoprotein-cholesterol Coronary-heart-disease Carotid atherosclerosis Atherosclerosis Association Adults residual cardiovascular risk nuclear magnetic resonance lipid profile lipoprotein precipitation atherosclerosis
Resumen: Background LDL-C lowering is the main measure in cardiovascular disease prevention but a residual risk of ischemic events still remains. Alterations of lipoproteins, specially, increase in small dense LDL (sdLDL) particles are related to this risk.
Objective To investigate the potential use of sdLDL cholesterol concentration (sdLDL-C) isolated by an easy precipitation method and to assess the impact of a set of clinical and biochemical variables determined by NMR on sdLDL concentration.
Methods sdLDL-C and NMR lipid profile were performed in 85 men samples. Association among them was evaluated using Pearson coefficients (r(xy)). A multivariate regression was performed to identify the influence of NMR variables on sdLDL-C.
Results A strong association between sdLDL-C and LDLLDL-P (r(xy) = 0.687) and with LDL-Z (r(xy) = -0.603) was found. The multivariate regression explained a 56.8% in sdLDL-C variation (P = 8.77.10-12). BMI, ApoB, triglycerides, FFA, and LDL-Z showed a significant contribution. The most important ones were ApoB and LDL-Z; a 1nm increase (LDL-Z) leads to decrease 126 nmol/L in sdLDL-C.
Conclusion The association between sdLDL-C, LDL-Z, and LDL-P is clear. From a large number of variables, especially LDL-Z and apoB influence on sdLDL-C. Results show that the smaller the LDL size, the higher their cholesterol concentration. Therefore, sdLDL-C determination by using this easy method would be useful to risk stratification and to uncover cardiovascular residual risk.
Áreas temáticas: Saúde coletiva Química Public health, environmental and occupational health Planejamento urbano e regional / demografia Microbiology (medical) Medicina veterinaria Medicina iii Medicina ii Medicina i Medical laboratory technology Materiais Interdisciplinar Immunology and allergy Hematology Farmacia Engenharias iv Enfermagem Clinical biochemistry Ciências biológicas iii Ciências biológicas ii Ciências biológicas i Ciência da computação Biotecnología Biodiversidade Biochemistry (medical) Astronomia / física
Acceso a la licencia de uso: https://creativecommons.org/licenses/by/3.0/es/
ISSN: 08878013
Direcció de correo del autor: josep.ribalta@urv.cat montse.guardiola@urv.cat
Identificador del autor: 0000-0002-8879-4719 0000-0002-9696-7384
Fecha de alta del registro: 2023-02-19
Versión del articulo depositado: info:eu-repo/semantics/publishedVersion
Referencia al articulo segun fuente origial: Journal Of Clinical Laboratory Analysis. 34 (e23282): e23282-
Referencia de l'ítem segons les normes APA: Fernandez-Cidon, Barbara; Candas-Estebanez, Beatriz; Ribalta, Josep; Rock, Edmond; Guardiola-Guionnet, Montserrat; Amigo, Nuria; Padro-Miquel, Ariadna (2020). Precipitated sdLDL: An easy method to estimate LDL particle size. Journal Of Clinical Laboratory Analysis, 34(e23282), e23282-. DOI: 10.1002/jcla.23282
URL Documento de licencia: https://repositori.urv.cat/ca/proteccio-de-dades/
Entidad: Universitat Rovira i Virgili
Año de publicación de la revista: 2020
Tipo de publicación: Journal Publications
Repositori URV