Biomolecules (Jul 2023)

Combination of Pioglitazone and Metformin Actions on Liver Lipid Metabolism in Obese Mice

  • Jieying Liu,
  • Dongmei Wang,
  • Ziyan Xie,
  • Lu Ding,
  • Shunhua Li,
  • Xuemei Ma,
  • Jing Liu,
  • Jing Ren,
  • Cheng Xiao,
  • Chunru Yang,
  • Xinhua Xiao

DOI
https://doi.org/10.3390/biom13081199
Journal volume & issue
Vol. 13, no. 8
p. 1199

Abstract

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Background: Despite the increasing prevalence rate of nonalcoholic fatty liver disease (NAFLD) worldwide, efficient pharmacotherapeutic regimens against NAFLD still need to be explored. Previous studies found that pioglitazone and metformin therapy could partly ameliorate NAFLD, but their combination therapy effects have not been researched. In the present study, we assessed the protective effects of metformin and pioglitazone combination therapy on liver lipid metabolism in high-fat diet (HFD)-fed mice and investigated the molecular mechanism. Methods: Male C57BL/6 mice were divided into five groups: normal control; HFD control; metformin monotherapy; pioglitazone monotherapy and combined therapy. After 8 weeks of pharmacological intervention, glucose and lipid metabolism characteristics, hepatic histology, lipidomics profiling and RNA-seq analysis were performed. Results: The combination of pioglitazone and metformin significantly ameliorated HFD-induced metabolic disturbance and the hepatic oil red O area. A lipidomics analysis showed that combined therapy could significantly reduce the high levels of free fatty acids (FFA), diacylglycerol and triglycerides, while a set of glycerophospholipids and sphingolipids were increased in the combined therapy group. Consistently, an RNA-seq analysis also showed a remarkable reduction in genes associated with FFA uptake and de novo lipogenesis, including Cd36, Fads1, Fads2, Fasn, Scd1, Elovl5 and Pklr in the combined therapy group. Conclusions: Pioglitazone and metformin might have a synergistic protective effect on NAFLD by improving hepatic lipid profiles in HFD-induced mice. Further studies are needed to verify the clinical effects.

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