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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
Korrespondenzautor
Schlagwörter Hepatic Steatosis; Plant Protein; Disease; Markers; Index; Prediction; Inflammation; Biomarkers; Ultrasound; Accuracy
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
Nichtpatentliteratur Publikationen
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Diabetes Research and Metabolic Diseases (IDM)
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