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dc.contributor.authorRomero-Ibarguengoitia, Maria Elenaen_US
dc.contributor.authorVadillo-Ortega, Felipeen_US
dc.contributor.authorCaballero, Augusto Enriqueen_US
dc.contributor.authorIbarra-González, Isabelen_US
dc.contributor.authorHerrera-Rosas, Arturoen_US
dc.contributor.authorSerratos-Canales, María Fabiolaen_US
dc.contributor.authorLeón-Hernández, Mireyaen_US
dc.contributor.authorGonzález-Chávez, Antonioen_US
dc.contributor.authorMummidi, Srinivasen_US
dc.contributor.authorDuggirala, Ravindranathen_US
dc.contributor.authorLópez-Alvarenga, Juan Carlosen_US
dc.date.accessioned2018-04-19T14:19:48Z
dc.date.issued2018en_US
dc.identifier.citationRomero-Ibarguengoitia, M. E., F. Vadillo-Ortega, A. E. Caballero, I. Ibarra-González, A. Herrera-Rosas, M. F. Serratos-Canales, M. León-Hernández, et al. 2018. “Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach.” PLoS ONE 13 (2): e0193138. doi:10.1371/journal.pone.0193138. http://dx.doi.org/10.1371/journal.pone.0193138.en
dc.identifier.issnen
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:35982057
dc.description.abstractBackground: Structural equation modeling (SEM) can help understanding complex functional relationships among obesity, non-alcoholic fatty liver disease (NAFLD), family history of obesity, targeted metabolomics and pro-inflammatory markers. We tested two hypotheses: 1) If obesity precedes an excess of free fatty acids that increase oxidative stress and mitochondrial dysfunction, there would be an increase of serum acylcarnitines, amino acids and cytokines in obese subjects. Acylcarnitines would be related to non-alcoholic fatty disease that will induce insulin resistance. 2) If a positive family history of obesity and type 2 diabetes are the major determinants of the metabolomic profile, there would be higher concentration of amino acids and acylcarnitines in patients with this background that will induce obesity and NAFLD which in turn will induce insulin resistance. Methods/Results 137 normoglycemic subjects, mean age (SD) of 30.61 (8.6) years divided in three groups: BMI<25 with absence of NAFLD (G1), n = 82; BMI>30 with absence of NAFLD (G2), n = 24; and BMI>30 with NAFLD (G3), n = 31. Family history of obesity (any) was present in 53%. Both models were adjusted in SEM. Family history of obesity predicted obesity but could not predict acylcarnitines and amino acid concentrations (effect size <0.2), but did predict obesity phenotype. Conclusion: Family history of obesity is the major predictor of obesity, and the metabolic abnormalities on amino acids, acylcarnitines, inflammation, insulin resistance, and NAFLD.en
dc.language.isoen_USen
dc.publisherPublic Library of Scienceen
dc.relation.isversionofdoi:10.1371/journal.pone.0193138en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821462/pdf/en
dash.licenseLAAen_US
dc.subjectBiology and Life Sciencesen
dc.subjectPhysiologyen
dc.subjectPhysiological Parametersen
dc.subjectBody Weighten
dc.subjectObesityen
dc.subjectMedicine and Health Sciencesen
dc.subjectImmunologyen
dc.subjectImmune Responseen
dc.subjectInflammationen
dc.subjectDiagnostic Medicineen
dc.subjectSigns and Symptomsen
dc.subjectPathology and Laboratory Medicineen
dc.subjectBody Mass Indexen
dc.subjectEndocrinologyen
dc.subjectEndocrine Physiologyen
dc.subjectInsulin Resistanceen
dc.subjectImmune Physiologyen
dc.subjectCytokinesen
dc.subjectImmune Systemen
dc.subjectInnate Immune Systemen
dc.subjectDevelopmental Biologyen
dc.subjectMolecular Developmenten
dc.subjectBiochemistryen
dc.subjectMetabolismen
dc.subjectMetabolomicsen
dc.subjectPhysical Sciencesen
dc.subjectChemistryen
dc.subjectChemical Compoundsen
dc.subjectOrganic Compoundsen
dc.subjectAmino Acidsen
dc.subjectAliphatic Amino Acidsen
dc.subjectAlanineen
dc.subjectOrganic Chemistryen
dc.subjectProteinsen
dc.subjectEnzymologyen
dc.subjectEnzymesen
dc.subjectTransferasesen
dc.subjectAminotransferasesen
dc.titleFamily history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approachen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalPLoS ONEen
dc.date.available2018-04-19T14:19:48Z
dc.identifier.doi10.1371/journal.pone.0193138*
dash.authorsorderedfalse


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