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)
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.
Impact Factor
Scopus SNIP
Web of Science
Times Cited
Scopus
Cited By
Altmetric
Publication type
Article: Journal article
Document type
Scientific Article
Thesis type
Editors
Keywords
Hepatic Steatosis; Plant Protein; Disease; Markers; Index; Prediction; Inflammation; Biomarkers; Ultrasound; Accuracy
Keywords plus
Language
english
Publication Year
2021
Prepublished in Year
HGF-reported in Year
2021
ISSN (print) / ISBN
2045-2322
e-ISSN
2045-2322
ISBN
Book Volume Title
Conference Title
Conference Date
Conference Location
Proceedings Title
Quellenangaben
Volume: 11,
Issue: 1,
Pages: ,
Article Number: 8843
Supplement: ,
Series
Publisher
Nature Publishing Group
Publishing Place
London
Day of Oral Examination
0000-00-00
Advisor
Referee
Examiner
Topic
University
University place
Faculty
Publication date
0000-00-00
Application date
0000-00-00
Patent owner
Further owners
Application country
Patent priority
Reviewing status
Peer reviewed
POF-Topic(s)
90000 - German Center for Diabetes Research
Research field(s)
Helmholtz Diabetes Center
PSP Element(s)
G-502400-001
Grants
German Federal Ministry for Food and Agriculture (BMEL)
German Center for Diabetes Research (DZD) - German Federal Ministry for Education and Research (BMBF)
Projekt DEAL
Copyright
Erfassungsdatum
2021-06-10