Non-invasive biomarkers of non-alcoholic fatty liver disease in patients with Metabolic Syndrome: insights from the RESOLVE study

Gaël Ennequin, Benjamin Buchard, Bruno Pereira, Line Bonjean, Daniel Courteix, Bruno Lesourd, Robert Chapier, Philippe Obert, Agnes Vinet, Guillaume Walther, Marek Zak, Reza Bagheri, Chris U. Ugbolue, Armand Abergel, Frédéric Dutheil, David Thivel

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: The aim of the present study was to evaluate i) the presence of liver steatosis using Fatty Liver Index (FLI), Hepatic Steatosis Index (HSI) and Liver Fat Score (LFS) in patients suffering from MS and ii) the association of FLI, HSI and LFS with the cardiometabolic risks.

METHODS: A total of 91 patients with MS (MS; 39 men, 52 women) and 44 age matched healthy subjects (Control; 23 men and 21 women) were enrolled in the study. A continuous cardiometabolic score (MetsScore) and the noninvasive tests of hepatic steatosis were calculated for comparison and association analysis.

RESULTS: Liver steatosis was detected in 86%, 84% and 80% of people diagnosed with MS using FLI, HSI and LFS respectively and MetsScore increases with FLI severity (p<0,05). Also, FLI and LFS were positively associated with MetsScore (p<0.01 and p<0.05 respectively) but not HSI. Multivariate linear regression models revealed that FLI has a stronger association with MetsScore compared with HSI and LFS (p<0,001).

CONCLUSIONS: FLI is associated with the severity of MS and represent a good indicator to assess the relation between liver steatosis and a cardiometabolic disorders in clinical routine.

Original languageEnglish
JournalMinerva Gastroenterology
Early online date10 Feb 2022
DOIs
Publication statusE-pub ahead of print - 10 Feb 2022

Keywords

  • metabolic syndrome
  • non-alcoholic fatty liver disease
  • fatty liver index
  • hepatic steatosis index
  • liver fat score

Fingerprint

Dive into the research topics of 'Non-invasive biomarkers of non-alcoholic fatty liver disease in patients with Metabolic Syndrome: insights from the RESOLVE study'. Together they form a unique fingerprint.

Cite this