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Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study
Whereas the etiology of non-alcoholic fatty liver disease (NAFLD) is complex, the role of nutrition as a causing and preventive factor is not fully explored. The aim of this study is to associate dietary patterns with magnetic resonance imaging (MRI) parameters in a European population (Greece, Ital...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775335/ https://www.ncbi.nlm.nih.gov/pubmed/35055797 http://dx.doi.org/10.3390/ijerph19020971 |
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author | Amanatidou, Athina I. Kaliora, Andriana C. Amerikanou, Charalampia Stojanoski, Stefan Milosevic, Natasa Vezou, Chara Beribaka, Mirjana Banerjee, Rajarshi Kalafati, Ioanna-Panagiota Smyrnioudis, Ilias Kurth, Mary Jo Kannt, Aimo Francino, M. Pilar Visvikis-Siest, Sophie Deloukas, Panos Llorens, Carlos Marascio, Fernando Milic, Natasa Medic-Stojanoska, Milica Gastaldelli, Amalia Trivella, Maria Giovanna Dedoussis, George V. |
author_facet | Amanatidou, Athina I. Kaliora, Andriana C. Amerikanou, Charalampia Stojanoski, Stefan Milosevic, Natasa Vezou, Chara Beribaka, Mirjana Banerjee, Rajarshi Kalafati, Ioanna-Panagiota Smyrnioudis, Ilias Kurth, Mary Jo Kannt, Aimo Francino, M. Pilar Visvikis-Siest, Sophie Deloukas, Panos Llorens, Carlos Marascio, Fernando Milic, Natasa Medic-Stojanoska, Milica Gastaldelli, Amalia Trivella, Maria Giovanna Dedoussis, George V. |
author_sort | Amanatidou, Athina I. |
collection | PubMed |
description | Whereas the etiology of non-alcoholic fatty liver disease (NAFLD) is complex, the role of nutrition as a causing and preventive factor is not fully explored. The aim of this study is to associate dietary patterns with magnetic resonance imaging (MRI) parameters in a European population (Greece, Italy, and Serbia) affected by NAFLD. For the first time, iron-corrected T1 (cT1), proton density fat fraction (PDFF), and the liver inflammation fibrosis score (LIF) were examined in relation to diet. A total of 97 obese patients with NAFLD from the MAST4HEALTH study were included in the analysis. A validated semi-quantitative food frequency questionnaire (FFQ) was used to assess the quality of diet and food combinations. Other variables investigated include anthropometric measurements, total type 2 diabetes risk, physical activity level (PAL), and smoking status. Principal component analysis (PCA) was performed to identify dietary patterns. Six dietary patterns were identified, namely “High-Sugar”, “Prudent”, “Western”, “High-Fat and Salt”, “Plant-Based”, and “Low-Fat Dairy and Poultry”. The “Western” pattern was positively associated with cT1 in the unadjusted model (beta: 0.020, p-value: 0.025) and even after adjusting for age, sex, body mass index (BMI), PAL, smoking, the center of the study, and the other five dietary patterns (beta: 0.024, p-value: 0.020). On the contrary, compared with low-intake patients, those with medium intake of the “Low-Fat Dairy and Poultry” pattern were associated with lower values of cT1, PDFF, and LIF. However, patients with a “Low-Fat Dairy and Poultry” dietary pattern were negatively associated with MRI parameters (cT1: beta: −0.052, p-value: 0.046, PDFF: beta: −0.448, p-value: 0.030, LIF: beta: −0.408, p-value: 0.025). Our findings indicate several associations between MRI parameters and dietary patterns in NAFLD patients, highlighting the importance of diet in NAFLD. |
format | Online Article Text |
id | pubmed-8775335 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87753352022-01-21 Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study Amanatidou, Athina I. Kaliora, Andriana C. Amerikanou, Charalampia Stojanoski, Stefan Milosevic, Natasa Vezou, Chara Beribaka, Mirjana Banerjee, Rajarshi Kalafati, Ioanna-Panagiota Smyrnioudis, Ilias Kurth, Mary Jo Kannt, Aimo Francino, M. Pilar Visvikis-Siest, Sophie Deloukas, Panos Llorens, Carlos Marascio, Fernando Milic, Natasa Medic-Stojanoska, Milica Gastaldelli, Amalia Trivella, Maria Giovanna Dedoussis, George V. Int J Environ Res Public Health Article Whereas the etiology of non-alcoholic fatty liver disease (NAFLD) is complex, the role of nutrition as a causing and preventive factor is not fully explored. The aim of this study is to associate dietary patterns with magnetic resonance imaging (MRI) parameters in a European population (Greece, Italy, and Serbia) affected by NAFLD. For the first time, iron-corrected T1 (cT1), proton density fat fraction (PDFF), and the liver inflammation fibrosis score (LIF) were examined in relation to diet. A total of 97 obese patients with NAFLD from the MAST4HEALTH study were included in the analysis. A validated semi-quantitative food frequency questionnaire (FFQ) was used to assess the quality of diet and food combinations. Other variables investigated include anthropometric measurements, total type 2 diabetes risk, physical activity level (PAL), and smoking status. Principal component analysis (PCA) was performed to identify dietary patterns. Six dietary patterns were identified, namely “High-Sugar”, “Prudent”, “Western”, “High-Fat and Salt”, “Plant-Based”, and “Low-Fat Dairy and Poultry”. The “Western” pattern was positively associated with cT1 in the unadjusted model (beta: 0.020, p-value: 0.025) and even after adjusting for age, sex, body mass index (BMI), PAL, smoking, the center of the study, and the other five dietary patterns (beta: 0.024, p-value: 0.020). On the contrary, compared with low-intake patients, those with medium intake of the “Low-Fat Dairy and Poultry” pattern were associated with lower values of cT1, PDFF, and LIF. However, patients with a “Low-Fat Dairy and Poultry” dietary pattern were negatively associated with MRI parameters (cT1: beta: −0.052, p-value: 0.046, PDFF: beta: −0.448, p-value: 0.030, LIF: beta: −0.408, p-value: 0.025). Our findings indicate several associations between MRI parameters and dietary patterns in NAFLD patients, highlighting the importance of diet in NAFLD. MDPI 2022-01-16 /pmc/articles/PMC8775335/ /pubmed/35055797 http://dx.doi.org/10.3390/ijerph19020971 Text en © 2022 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 Amanatidou, Athina I. Kaliora, Andriana C. Amerikanou, Charalampia Stojanoski, Stefan Milosevic, Natasa Vezou, Chara Beribaka, Mirjana Banerjee, Rajarshi Kalafati, Ioanna-Panagiota Smyrnioudis, Ilias Kurth, Mary Jo Kannt, Aimo Francino, M. Pilar Visvikis-Siest, Sophie Deloukas, Panos Llorens, Carlos Marascio, Fernando Milic, Natasa Medic-Stojanoska, Milica Gastaldelli, Amalia Trivella, Maria Giovanna Dedoussis, George V. Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study |
title | Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study |
title_full | Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study |
title_fullStr | Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study |
title_full_unstemmed | Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study |
title_short | Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study |
title_sort | association of dietary patterns with mri markers of hepatic inflammation and fibrosis in the mast4health study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8775335/ https://www.ncbi.nlm.nih.gov/pubmed/35055797 http://dx.doi.org/10.3390/ijerph19020971 |
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