NAFLD: Mechanisms, Treatments, and Biomarkers

Biomolecules. 2022 Jun 13;12(6):824. doi: 10.3390/biom12060824.

Abstract

Nonalcoholic fatty liver disease (NAFLD), recently renamed metabolic-associated fatty liver disease (MAFLD), is one of the most common causes of liver diseases worldwide. NAFLD is growing in parallel with the obesity epidemic. No pharmacological treatment is available to treat NAFLD, specifically. The reason might be that NAFLD is a multi-factorial disease with an incomplete understanding of the mechanisms involved, an absence of accurate and inexpensive imaging tools, and lack of adequate non-invasive biomarkers. NAFLD consists of the accumulation of excess lipids in the liver, causing lipotoxicity that might progress to metabolic-associated steatohepatitis (NASH), liver fibrosis, and hepatocellular carcinoma. The mechanisms for the pathogenesis of NAFLD, current interventions in the management of the disease, and the role of sirtuins as potential targets for treatment are discussed here. In addition, the current diagnostic tools, and the role of non-coding RNAs as emerging diagnostic biomarkers are summarized. The availability of non-invasive biomarkers, and accurate and inexpensive non-invasive diagnosis tools are crucial in the detection of the early signs in the progression of NAFLD. This will expedite clinical trials and the validation of the emerging therapeutic treatments.

Keywords: biomarkers; lipotoxicity; liver; metabolic-associated fatty liver disease (MAFLD); metabolic-associated steatohepatitis (MASH); mitochondria; non-alcoholic fatty liver disease (NAFLD); non-alcoholic steatohepatitis (NASH); reactive oxygen species (ROS); sirtuins.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers
  • Carcinoma, Hepatocellular* / pathology
  • Humans
  • Liver / pathology
  • Liver Neoplasms* / pathology
  • Non-alcoholic Fatty Liver Disease* / drug therapy
  • Non-alcoholic Fatty Liver Disease* / therapy

Substances

  • Biomarkers

Grants and funding

This work is supported by the University of Missouri Research Board and Research Council grants to Fatiha Nassir.