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Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study

Non-alcoholic fatty liver disease (NAFLD) affects 25% of the global population. The pathogenesis of NAFLD is complex; available data reveal that genetics and ascribed interactions with environmental factors may play an important role in the development of this morbid condition. The purpose of this i...

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Autores principales: Perez-Diaz-del-Campo, Nuria, Riezu-Boj, Jose I., Marin-Alejandre, Bertha Araceli, Monreal, J. Ignacio, Elorz, Mariana, Herrero, José Ignacio, Benito-Boillos, Alberto, Milagro, Fermín I., Tur, Josep A., Abete, Itziar, Zulet, M. Angeles, Martinez, J. Alfredo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231822/
https://www.ncbi.nlm.nih.gov/pubmed/34199237
http://dx.doi.org/10.3390/diagnostics11061083
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author Perez-Diaz-del-Campo, Nuria
Riezu-Boj, Jose I.
Marin-Alejandre, Bertha Araceli
Monreal, J. Ignacio
Elorz, Mariana
Herrero, José Ignacio
Benito-Boillos, Alberto
Milagro, Fermín I.
Tur, Josep A.
Abete, Itziar
Zulet, M. Angeles
Martinez, J. Alfredo
author_facet Perez-Diaz-del-Campo, Nuria
Riezu-Boj, Jose I.
Marin-Alejandre, Bertha Araceli
Monreal, J. Ignacio
Elorz, Mariana
Herrero, José Ignacio
Benito-Boillos, Alberto
Milagro, Fermín I.
Tur, Josep A.
Abete, Itziar
Zulet, M. Angeles
Martinez, J. Alfredo
author_sort Perez-Diaz-del-Campo, Nuria
collection PubMed
description Non-alcoholic fatty liver disease (NAFLD) affects 25% of the global population. The pathogenesis of NAFLD is complex; available data reveal that genetics and ascribed interactions with environmental factors may play an important role in the development of this morbid condition. The purpose of this investigation was to assess genetic and non-genetic determinants putatively involved in the onset and progression of NAFLD after a 6-month weight loss nutritional treatment. A group of 86 overweight/obese subjects with NAFLD from the Fatty Liver in Obesity (FLiO) study were enrolled and metabolically evaluated at baseline and after 6 months. A pre-designed panel of 95 genetic variants related to obesity and weight loss was applied and analyzed. Three genetic risk scores (GRS) concerning the improvement on hepatic health evaluated by minimally invasive methods such as the fatty liver index (FLI) (GRS(FLI)), lipidomic-OWLiver(®)-test (GRS(OWL)) and magnetic resonance imaging (MRI) (GRS(MRI)), were derived by adding the risk alleles genotypes. Body composition, liver injury-related markers and dietary intake were also monitored. Overall, 23 SNPs were independently associated with the change in FLI, 16 SNPs with OWLiver(®)-test and 8 SNPs with MRI, which were specific for every diagnosis tool. After adjusting for gender, age and other related predictors (insulin resistance, inflammatory biomarkers and dietary intake at baseline) the calculated GRS(FLI), GRS(OWL) and GRS(MRI) were major contributors of the improvement in hepatic status(.) Thus, fitted linear regression models showed a variance of 53% (adj. R(2) = 0.53) in hepatic functionality (FLI), 16% (adj. R(2) = 0.16) in lipidomic metabolism (OWLiver(®)-test) and 34% (adj. R(2) = 0.34) in liver fat content (MRI). These results demonstrate that three different genetic scores can be useful for the personalized management of NAFLD, whose treatment must rely on specific dietary recommendations guided by the measurement of specific genetic biomarkers.
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spelling pubmed-82318222021-06-26 Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study Perez-Diaz-del-Campo, Nuria Riezu-Boj, Jose I. Marin-Alejandre, Bertha Araceli Monreal, J. Ignacio Elorz, Mariana Herrero, José Ignacio Benito-Boillos, Alberto Milagro, Fermín I. Tur, Josep A. Abete, Itziar Zulet, M. Angeles Martinez, J. Alfredo Diagnostics (Basel) Article Non-alcoholic fatty liver disease (NAFLD) affects 25% of the global population. The pathogenesis of NAFLD is complex; available data reveal that genetics and ascribed interactions with environmental factors may play an important role in the development of this morbid condition. The purpose of this investigation was to assess genetic and non-genetic determinants putatively involved in the onset and progression of NAFLD after a 6-month weight loss nutritional treatment. A group of 86 overweight/obese subjects with NAFLD from the Fatty Liver in Obesity (FLiO) study were enrolled and metabolically evaluated at baseline and after 6 months. A pre-designed panel of 95 genetic variants related to obesity and weight loss was applied and analyzed. Three genetic risk scores (GRS) concerning the improvement on hepatic health evaluated by minimally invasive methods such as the fatty liver index (FLI) (GRS(FLI)), lipidomic-OWLiver(®)-test (GRS(OWL)) and magnetic resonance imaging (MRI) (GRS(MRI)), were derived by adding the risk alleles genotypes. Body composition, liver injury-related markers and dietary intake were also monitored. Overall, 23 SNPs were independently associated with the change in FLI, 16 SNPs with OWLiver(®)-test and 8 SNPs with MRI, which were specific for every diagnosis tool. After adjusting for gender, age and other related predictors (insulin resistance, inflammatory biomarkers and dietary intake at baseline) the calculated GRS(FLI), GRS(OWL) and GRS(MRI) were major contributors of the improvement in hepatic status(.) Thus, fitted linear regression models showed a variance of 53% (adj. R(2) = 0.53) in hepatic functionality (FLI), 16% (adj. R(2) = 0.16) in lipidomic metabolism (OWLiver(®)-test) and 34% (adj. R(2) = 0.34) in liver fat content (MRI). These results demonstrate that three different genetic scores can be useful for the personalized management of NAFLD, whose treatment must rely on specific dietary recommendations guided by the measurement of specific genetic biomarkers. MDPI 2021-06-13 /pmc/articles/PMC8231822/ /pubmed/34199237 http://dx.doi.org/10.3390/diagnostics11061083 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Perez-Diaz-del-Campo, Nuria
Riezu-Boj, Jose I.
Marin-Alejandre, Bertha Araceli
Monreal, J. Ignacio
Elorz, Mariana
Herrero, José Ignacio
Benito-Boillos, Alberto
Milagro, Fermín I.
Tur, Josep A.
Abete, Itziar
Zulet, M. Angeles
Martinez, J. Alfredo
Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study
title Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study
title_full Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study
title_fullStr Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study
title_full_unstemmed Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study
title_short Three Different Genetic Risk Scores Based on Fatty Liver Index, Magnetic Resonance Imaging and Lipidomic for a Nutrigenetic Personalized Management of NAFLD: The Fatty Liver in Obesity Study
title_sort three different genetic risk scores based on fatty liver index, magnetic resonance imaging and lipidomic for a nutrigenetic personalized management of nafld: the fatty liver in obesity study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8231822/
https://www.ncbi.nlm.nih.gov/pubmed/34199237
http://dx.doi.org/10.3390/diagnostics11061083
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