Development of an In Vitro Screening Platform for the Identification of Partial PPARγ Agonists as a Source for Antidiabetic Lead Compounds

Molecules. 2018 Sep 22;23(10):2431. doi: 10.3390/molecules23102431.

Abstract

Type 2 diabetes (T2D) is a metabolic disorder where insulin-sensitive tissues show reduced sensitivity towards insulin and a decreased glucose uptake (GU), which leads to hyperglycaemia. Peroxisome proliferator-activated receptor (PPAR)γ plays an important role in lipid and glucose homeostasis and is one of the targets in the discovery of drugs against T2D. Activation of PPARγ by agonists leads to a conformational change in the ligand-binding domain, a process that alters the transcription of several target genes involved in glucose and lipid metabolism. Depending on the ligands, they can induce different sets of genes that depends of their recruitment of coactivators. The activation of PPARγ by full agonists such as the thiazolidinediones leads to improved insulin sensitivity but also to severe side effects probably due to their behavior as full agonists. Partial PPARγ agonists are compounds with diminished agonist efficacy compared to full agonist that may exhibit the same antidiabetic effect as full agonists without inducing the same magnitude of side effects. In this review, we describe a screening platform for the identification of partial PPARγ agonists from plant extracts that could be promising lead compounds for the development of antidiabetic drugs. The screening platform includes a series of in vitro bioassays, such as GU in adipocytes, PPARγ-mediated transactivation, adipocyte differentiation and gene expression as well as in silico docking for partial PPARγ agonism.

Keywords: PPARγ transactivation; adipocyte differentiation; adipocytes; glucose uptake; in silico; insulin; partial PPARγ agonists; plant extracts.; screening platform; type 2 diabetes.

Publication types

  • Review

MeSH terms

  • Adipocytes / cytology
  • Adipocytes / drug effects
  • Cell Differentiation / drug effects
  • Computer Simulation
  • Diabetes Mellitus, Type 2 / drug therapy
  • Diabetes Mellitus, Type 2 / genetics*
  • Drug Evaluation, Preclinical / methods*
  • Gene Expression Regulation / drug effects
  • Humans
  • Hypoglycemic Agents / chemistry*
  • Hypoglycemic Agents / pharmacology
  • Hypoglycemic Agents / therapeutic use
  • In Vitro Techniques
  • Lipid Metabolism / drug effects
  • Molecular Docking Simulation
  • PPAR gamma / agonists*
  • PPAR gamma / chemistry
  • Thiazolidinediones / chemistry
  • Thiazolidinediones / pharmacology

Substances

  • Hypoglycemic Agents
  • PPAR gamma
  • Thiazolidinediones