<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Amanatidou AI</submitter><funding>European Union and Greek national funds, through the Operational Program Competitiveness, Entrepreneurship and Innovation under the call RESEARCH-CREATE-INNOVATE</funding><funding>European Union’s Horizon 2020 research and innovation program MAST4HEALTH under the Marie Skłodowska-Curie grant agreement</funding><funding>Athina I. Amanatidou was supported by the Hellenic Foundation for Research and Innovation (HFRI) under the HFRI PhD Fellowship grant</funding><pagination>971</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8775335</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>19(2)</volume><pubmed_abstract>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 </pubmed_abstract><journal>International journal of environmental research and public health</journal><pubmed_title>Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study.</pubmed_title><pmcid>PMC8775335</pmcid><funding_grant_id>T2EDK-03044</funding_grant_id><funding_grant_id>1529</funding_grant_id><funding_grant_id>691042</funding_grant_id><pubmed_authors>Francino MP</pubmed_authors><pubmed_authors>Banerjee R</pubmed_authors><pubmed_authors>Amanatidou AI</pubmed_authors><pubmed_authors>Kannt A</pubmed_authors><pubmed_authors>Llorens C</pubmed_authors><pubmed_authors>Gastaldelli A</pubmed_authors><pubmed_authors>Vezou C</pubmed_authors><pubmed_authors>Stojanoski S</pubmed_authors><pubmed_authors>Trivella MG</pubmed_authors><pubmed_authors>Dedoussis GV</pubmed_authors><pubmed_authors>Kaliora AC</pubmed_authors><pubmed_authors>Milosevic N</pubmed_authors><pubmed_authors>Kurth MJ</pubmed_authors><pubmed_authors>Deloukas P</pubmed_authors><pubmed_authors>Medic-Stojanoska M</pubmed_authors><pubmed_authors>Kalafati IP</pubmed_authors><pubmed_authors>Marascio F</pubmed_authors><pubmed_authors>Milic N</pubmed_authors><pubmed_authors>Smyrnioudis I</pubmed_authors><pubmed_authors>Visvikis-Siest S</pubmed_authors><pubmed_authors>Beribaka M</pubmed_authors><pubmed_authors>Amerikanou C</pubmed_authors></additional><is_claimable>false</is_claimable><name>Association of Dietary Patterns with MRI Markers of Hepatic Inflammation and Fibrosis in the MAST4HEALTH Study.</name><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 </description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Jan</publication><modification>2026-04-08T07:29:25.542Z</modification><creation>2022-02-11T15:52:44.255Z</creation></dates><accession>S-EPMC8775335</accession><cross_references><pubmed>35055797</pubmed><doi>10.3390/ijerph19020971</doi></cross_references></HashMap>