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Kabisch, S.* ; Markova, M.* ; Hornemann, S.* ; Sucher, S.* ; Pivovarova-Ramich, O.* ; Machann, J. ; Hierholzer, J.* ; Rohn, S.* ; Pfeiffer, A.F.H.

Liver fat scores do not reflect interventional changes in liver fat content induced by high-protein diets.

Sci. Rep. 11:8843 (2021)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
Non-alcoholic fatty liver disease (NAFLD) is common in Metabolic Syndrome and type 2 diabetes (T2DM), driven by energy imbalance, saturated fats and simple carbohydrates. NAFLD requires screening and monitoring for late complications. Liver fat indices may predict NAFLD avoiding expensive or invasive gold-standard methods, but they are poorly validated for use in interventional settings. Recent data indicate a particular insensitivity to weight-independent liver fat reduction. We evaluated 31 T2DM patients, completing a randomized intervention study on isocaloric high-protein diets. We assessed anthropometric measures, intrahepatic lipid (IHL) content and serum liver enzymes, allowing AUROC calculations as well as cross-sectional and longitudinal Spearman correlations between the fatty liver index, the NAFLD-liver fat score, the Hepatosteatosis Index, and IHL. At baseline, all indices predicted NAFLD with moderate accuracy (AUROC 0.731-0.770), supported by correlation analyses. Diet-induced IHL changes weakly correlated with changes of waist circumference, but no other index component or the indices themselves. Liver fat indices may help to easily detect NAFLD, allowing cost-effective allocation of further diagnostics to patients at high risk. IHL reduction by weight-independent diets is not reflected by a proportional change in liver fat scores. Further research on the development of treatment-sensitive indices is required.Trial registration: The trial was registered at clinicaltrials.gov: NCT02402985.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Hepatic Steatosis; Plant Protein; Disease; Markers; Index; Prediction; Inflammation; Biomarkers; Ultrasound; Accuracy
Sprache englisch
Veröffentlichungsjahr 2021
HGF-Berichtsjahr 2021
ISSN (print) / ISBN 2045-2322
e-ISSN 2045-2322
Zeitschrift Scientific Reports
Quellenangaben Band: 11, Heft: 1, Seiten: , Artikelnummer: 8843 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
POF Topic(s) 90000 - German Center for Diabetes Research
Forschungsfeld(er) Helmholtz Diabetes Center
PSP-Element(e) G-502400-001
Förderungen German Federal Ministry for Food and Agriculture (BMEL)
German Center for Diabetes Research (DZD) - German Federal Ministry for Education and Research (BMBF)
Projekt DEAL
Scopus ID 85104863759
PubMed ID 33893355
Erfassungsdatum 2021-06-10