Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach
BACKGROUND: 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 o...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821462/ https://www.ncbi.nlm.nih.gov/pubmed/29466466 http://dx.doi.org/10.1371/journal.pone.0193138 |
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author | Romero-Ibarguengoitia, Maria Elena Vadillo-Ortega, Felipe Caballero, Augusto Enrique Ibarra-González, Isabel Herrera-Rosas, Arturo Serratos-Canales, María Fabiola León-Hernández, Mireya González-Chávez, Antonio Mummidi, Srinivas Duggirala, Ravindranath López-Alvarenga, Juan Carlos |
author_facet | Romero-Ibarguengoitia, Maria Elena Vadillo-Ortega, Felipe Caballero, Augusto Enrique Ibarra-González, Isabel Herrera-Rosas, Arturo Serratos-Canales, María Fabiola León-Hernández, Mireya González-Chávez, Antonio Mummidi, Srinivas Duggirala, Ravindranath López-Alvarenga, Juan Carlos |
author_sort | Romero-Ibarguengoitia, Maria Elena |
collection | PubMed |
description | BACKGROUND: 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. |
format | Online Article Text |
id | pubmed-5821462 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-58214622018-03-02 Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach Romero-Ibarguengoitia, Maria Elena Vadillo-Ortega, Felipe Caballero, Augusto Enrique Ibarra-González, Isabel Herrera-Rosas, Arturo Serratos-Canales, María Fabiola León-Hernández, Mireya González-Chávez, Antonio Mummidi, Srinivas Duggirala, Ravindranath López-Alvarenga, Juan Carlos PLoS One Research Article BACKGROUND: 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. Public Library of Science 2018-02-21 /pmc/articles/PMC5821462/ /pubmed/29466466 http://dx.doi.org/10.1371/journal.pone.0193138 Text en © 2018 Romero-Ibarguengoitia et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Romero-Ibarguengoitia, Maria Elena Vadillo-Ortega, Felipe Caballero, Augusto Enrique Ibarra-González, Isabel Herrera-Rosas, Arturo Serratos-Canales, María Fabiola León-Hernández, Mireya González-Chávez, Antonio Mummidi, Srinivas Duggirala, Ravindranath López-Alvarenga, Juan Carlos Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach |
title | Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach |
title_full | Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach |
title_fullStr | Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach |
title_full_unstemmed | Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach |
title_short | Family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (NAFLD). Structural equation modeling approach |
title_sort | family history and obesity in youth, their effect on acylcarnitine/aminoacids metabolomics and non-alcoholic fatty liver disease (nafld). structural equation modeling approach |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5821462/ https://www.ncbi.nlm.nih.gov/pubmed/29466466 http://dx.doi.org/10.1371/journal.pone.0193138 |
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