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http://hdl.handle.net/2445/167460
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DC Field | Value | Language |
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dc.contributor.author | Marco Ramell, Anna | - |
dc.contributor.author | Tulipani, Sara | - |
dc.contributor.author | Palau Rodríguez, Magalí | - |
dc.contributor.author | González-Domínguez, Raúl | - |
dc.contributor.author | Miñarro Alonso, Antonio | - |
dc.contributor.author | Jáuregui Pallarés, Olga | - |
dc.contributor.author | Sànchez, Àlex (Sànchez Pla) | - |
dc.contributor.author | Macias-Gonzalez, Manuel | - |
dc.contributor.author | Cardona, Fernando | - |
dc.contributor.author | Tinahones, Francisco J. | - |
dc.contributor.author | Andrés Lacueva, Ma. Cristina | - |
dc.date.accessioned | 2020-07-03T08:45:09Z | - |
dc.date.available | 2020-07-03T08:45:09Z | - |
dc.date.issued | 2018-06-15 | - |
dc.identifier.issn | 1535-3893 | - |
dc.identifier.uri | http://hdl.handle.net/2445/167460 | - |
dc.description.abstract | This study explores the metabolic profiles of concordant/discordant phenotypes of high insulin resistance (IR) and obesity. Through untargeted metabolomics (LC-ESI-QTOF-MS), we analyzed the fasting serum of subjects with high IR and/or obesity ( n = 64). An partial least-squares discriminant analysis with orthogonal signal correction followed by univariate statistics and enrichment analysis allowed exploration of these metabolic profiles. A multivariate regression method (LASSO) was used for variable selection and a predictive biomarker model to identify subjects with high IR regardless of obesity was built. Adrenic acid and a dyglyceride (DG) were shared by high IR and obesity. Uric and margaric acids, 14 DGs, ketocholesterol, and hydroxycorticosterone were unique to high IR, while arachidonic, hydroxyeicosatetraenoic (HETE), palmitoleic, triHETE, and glycocholic acids, HETE lactone, leukotriene B4, and two glutamyl-peptides to obesity. DGs and adrenic acid differed in concordant/discordant phenotypes, thereby revealing protective mechanisms against high IR also in obesity. A biomarker model formed by DGs, uric and adrenic acids presented a high predictive power to identify subjects with high IR [AUC 80.1% (68.9-91.4)]. These findings could become relevant for diabetes risk detection and unveil new potential targets in therapeutic treatments of IR, diabetes, and obesity. An independent validated cohort is needed to confirm these results. | - |
dc.format.extent | 11 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | American Chemical Society | - |
dc.relation.isformatof | Versió postprint del document publicat a: https://doi.org/10.1021/acs.jproteome.7b00855 | - |
dc.relation.ispartof | Journal of Proteome Research, 2018, vol. 17, num. 7, p. 2307-2317 | - |
dc.relation.uri | https://doi.org/10.1021/acs.jproteome.7b00855 | - |
dc.rights | (c) American Chemical Society , 2018 | - |
dc.source | Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia) | - |
dc.subject.classification | Diabetis no-insulinodependent | - |
dc.subject.classification | Marcadors bioquímics | - |
dc.subject.classification | Etiologia | - |
dc.subject.classification | Resistència a la insulina | - |
dc.subject.classification | Obesitat | - |
dc.subject.classification | Àcid úric | - |
dc.subject.classification | Metabolòmica | - |
dc.subject.other | Non-insulin-dependent diabetes | - |
dc.subject.other | Biochemical markers | - |
dc.subject.other | Etiology | - |
dc.subject.other | Insulin resistance | - |
dc.subject.other | Obesity | - |
dc.subject.other | Uric acid | - |
dc.subject.other | Metabolomics | - |
dc.title | Untargeted profiling of concordant/discordant phenotypes of high insulin resistance and obesity to predict the risk of developing diabetes | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/acceptedVersion | - |
dc.identifier.idgrec | 683373 | - |
dc.date.updated | 2020-07-03T08:45:09Z | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
Appears in Collections: | Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia) Articles publicats en revistes (Institut de Recerca en Nutrició i Seguretat Alimentària (INSA·UB)) |
Files in This Item:
File | Description | Size | Format | |
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683373.pdf | 1.12 MB | Adobe PDF | View/Open |
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