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http://hdl.handle.net/2445/174012
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DC Field | Value | Language |
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dc.contributor.author | Fernández Cidón, Bárbara | - |
dc.contributor.author | Candás Estébanez, Beatriz | - |
dc.contributor.author | Ribalta, Josep | - |
dc.contributor.author | Rock, Edmond | - |
dc.contributor.author | Guardiola Guionnet, Montserrat | - |
dc.contributor.author | Amigó, Núria | - |
dc.contributor.author | Padró i Miquel, Ariadna | - |
dc.contributor.author | Alía Ramos, Pedro | - |
dc.contributor.author | Pintó Sala, Xavier | - |
dc.date.accessioned | 2021-02-16T19:26:23Z | - |
dc.date.available | 2021-02-16T19:26:23Z | - |
dc.date.issued | 2020-03-21 | - |
dc.identifier.uri | http://hdl.handle.net/2445/174012 | - |
dc.description.abstract | 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 (rxy ). 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 (rxy = 0.687) and with LDL-Z (rxy = -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. | - |
dc.format.extent | 9 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Wiley | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1002/jcla.23282 | - |
dc.relation.ispartof | Journal of Clinical Laboratory Analysis, 2020, vol. 34, num. 7 | - |
dc.relation.uri | https://doi.org/10.1002/jcla.23282 | - |
dc.rights | cc by-nc (c) Fernández Cidón, et al., 2020 | - |
dc.rights.uri | http://creativecommons.org/licenses/by-nc/3.0/es/ | - |
dc.source | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) | - |
dc.subject.classification | Aterosclerosi | - |
dc.subject.classification | Ressonància magnètica nuclear | - |
dc.subject.other | Atherosclerosis | - |
dc.subject.other | Nuclear magnetic resonance | - |
dc.title | Precipitated sdLDL: An easy method to estimate LDL particle size | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.date.updated | 2021-02-16T14:17:02Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 32198796 | - |
Appears in Collections: | Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
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jcla.23282.pdf | 423.95 kB | Adobe PDF | View/Open |
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