Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/167460
Title: Untargeted profiling of concordant/discordant phenotypes of high insulin resistance and obesity to predict the risk of developing diabetes
Author: Marco Ramell, Anna
Tulipani, Sara
Palau Rodríguez, Magalí
Gonzalez-Dominguez, Raul
Miñarro Alonso, Antonio
Jáuregui Pallarés, Olga
Sànchez, Àlex (Sànchez Pla)
Macias-Gonzalez, Manuel
Cardona, Fernando
Tinahones, Francisco J.
Andrés Lacueva, Ma. Cristina
Keywords: Diabetis no-insulinodependent
Marcadors bioquímics
Etiologia
Resistència a la insulina
Obesitat
Àcid úric
Metabolòmica
Non-insulin-dependent diabetes
Biochemical markers
Etiology
Insulin resistance
Obesity
Uric acid
Metabolomics
Issue Date: 15-Jun-2018
Publisher: American Chemical Society
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.
Note: Versió postprint del document publicat a: https://doi.org/10.1021/acs.jproteome.7b00855
It is part of: Journal of Proteome Research, 2018, vol. 17, num. 7, p. 2307-2317
URI: http://hdl.handle.net/2445/167460
Related resource: https://doi.org/10.1021/acs.jproteome.7b00855
ISSN: 1535-3893
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))

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