Literature DB >> 24305680

Dietary patterns associated with magnetic resonance imaging-determined liver fat content in a general population study.

Manja Koch1, Jan Borggrefe, Janett Barbaresko, Godo Groth, Gunnar Jacobs, Sabine Siegert, Wolfgang Lieb, Manfred James Müller, Anja Bosy-Westphal, Martin Heller, Ute Nöthlings.   

Abstract

BACKGROUND: The association between diet and fatty liver disease (FLD) has predominantly been analyzed for single nutrients or foods, and findings have been inconsistent.
OBJECTIVE: We aimed to compare associations of hypothesis-driven and exploratory dietary pattern scores with liver fat content.
DESIGN: Liver fat was measured by using magnetic resonance imaging as liver signal intensity (LSI) in a population-based, cross-sectional study that included 354 individuals. We applied partial least-squares regression to derive an exploratory dietary pattern score that explained variation in both the intake of 38 food groups, which were assessed by using a food-frequency questionnaire, and LSI. The hypothesis-driven score was calculated on the basis of published studies. Multivariable linear or logistic regression was used to investigate associations between dietary pattern scores and LSI or FLD.
RESULTS: A higher percentage of LSI variation was explained by the exploratory (12.6%) compared with the hypothesis-driven (2.2%) dietary pattern. Of the 13 most important food groups of the exploratory dietary pattern, intakes of green and black tea, soups, and beer were also individually associated with LSI values. A 1-unit increase in the exploratory dietary pattern score was positively associated with FLD (OR: 1.56; 95% CI: 1.29, 1.88). Furthermore, a 1-unit increase in the hypothesis-driven dietary pattern score, which consisted of alcohol, soft drinks, meat, coffee, and tea, was positively associated with FLD (OR: 1.25; 95% CI: 1.10, 1.43).
CONCLUSION: We defined a hypothesis-driven dietary pattern and derived an exploratory dietary pattern, both of which included alcohol, meat (poultry), and tea, associated with liver fat content independent from confounders, which should be explored in prospective studies.

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Year:  2013        PMID: 24305680      PMCID: PMC6410901          DOI: 10.3945/ajcn.113.070219

Source DB:  PubMed          Journal:  Am J Clin Nutr        ISSN: 0002-9165            Impact factor:   7.045


  17 in total

1.  Serum metabolomic profiling highlights pathways associated with liver fat content in a general population sample.

Authors:  M Koch; S Freitag-Wolf; S Schlesinger; J Borggrefe; J R Hov; M K Jensen; J Pick; M R P Markus; T Höpfner; G Jacobs; S Siegert; A Artati; G Kastenmüller; W Römisch-Margl; J Adamski; T Illig; M Nothnagel; T H Karlsen; S Schreiber; A Franke; M Krawczak; U Nöthlings; W Lieb
Journal:  Eur J Clin Nutr       Date:  2017-04-05       Impact factor: 4.016

2.  Diet and Liver Adiposity in Older Adults: The Multiethnic Cohort Adiposity Phenotype Study.

Authors:  Tanyaporn K Kaenkumchorn; Melissa A Merritt; Unhee Lim; Loïc Le Marchand; Carol J Boushey; John A Shepherd; Lynne R Wilkens; Thomas Ernst; Johanna W Lampe
Journal:  J Nutr       Date:  2021-11-02       Impact factor: 4.687

3.  Associations between dietary factors and markers of NAFLD in a general Dutch adult population.

Authors:  A Rietman; D Sluik; E J M Feskens; F J Kok; M Mensink
Journal:  Eur J Clin Nutr       Date:  2017-09-13       Impact factor: 4.016

4.  Metabolomics signature associated with circulating serum selenoprotein P levels.

Authors:  Romina di Giuseppe; Manja Koch; Ute Nöthlings; Gabi Kastenmüller; Anna Artati; Jerzy Adamski; Gunnar Jacobs; Wolfgang Lieb
Journal:  Endocrine       Date:  2018-11-17       Impact factor: 3.633

Review 5.  The influence of dietary fat on liver fat accumulation.

Authors:  Charlotte J Green; Leanne Hodson
Journal:  Nutrients       Date:  2014-11-10       Impact factor: 5.717

6.  Diet Quality in Midadulthood Predicts Visceral Adiposity and Liver Fatness in Older Ages: The Multiethnic Cohort Study.

Authors:  Gertraud Maskarinec; Unhee Lim; Simone Jacobs; Kristine R Monroe; Thomas Ernst; Steven D Buchthal; John A Shepherd; Lynne R Wilkens; Loïc Le Marchand; Carol J Boushey
Journal:  Obesity (Silver Spring)       Date:  2017-08       Impact factor: 5.002

7.  Low-Fat Diet With Caloric Restriction Reduces White Matter Microglia Activation During Aging.

Authors:  Zhuoran Yin; Divya D Raj; Wandert Schaafsma; Roel A van der Heijden; Susanne M Kooistra; Aaffien C Reijne; Xiaoming Zhang; Jill Moser; Nieske Brouwer; Peter Heeringa; Chun-Xia Yi; Gertjan van Dijk; Jon D Laman; Erik W G M Boddeke; Bart J L Eggen
Journal:  Front Mol Neurosci       Date:  2018-03-12       Impact factor: 5.639

Review 8.  Application of Magnetic Resonance Imaging in the Evaluation of Nutritional Status: A Literature Review with Focus on Dialysis Patients.

Authors:  Tsutomu Inoue; Eito Kozawa; Masahiro Ishikawa; Hirokazu Okada
Journal:  Nutrients       Date:  2021-06-14       Impact factor: 5.717

9.  Diet-Quality Scores and Prevalence of Nonalcoholic Fatty Liver Disease: A Population Study Using Proton-Magnetic Resonance Spectroscopy.

Authors:  Ruth Chan; Vincent Wai-Sun Wong; Winnie Chiu-Wing Chu; Grace Lai-Hung Wong; Liz Sin Li; Jason Leung; Angel Mei-Ling Chim; David Ka-Wai Yeung; Mandy Man-Mei Sea; Jean Woo; Francis Ka-Leung Chan; Henry Lik-Yuen Chan
Journal:  PLoS One       Date:  2015-09-29       Impact factor: 3.240

10.  Association of Vitamin E Levels with Metabolic Syndrome, and MRI-Derived Body Fat Volumes and Liver Fat Content.

Authors:  Sabina Waniek; Romina di Giuseppe; Sandra Plachta-Danielzik; Ilka Ratjen; Gunnar Jacobs; Manja Koch; Jan Borggrefe; Marcus Both; Hans-Peter Müller; Jan Kassubek; Ute Nöthlings; Tuba Esatbeyoglu; Sabrina Schlesinger; Gerald Rimbach; Wolfgang Lieb
Journal:  Nutrients       Date:  2017-10-18       Impact factor: 5.717

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