Modulation of liver lipid metabolic pathways by central nervous system ER stress

Han Rae Kim1, Parisa Tabiatnejad1, Hovhannes Arestakesyan1

  • 1Department of Pharmacology and Physiology, The George Washington University School of Medicine and Health Sciences, Washington, DC, United States.

Insights

Endoplasmic reticulum stress in the SFO→PVN neural circuit contributes to metabolic dysfunction-associated steatotic liver disease (MASLD) by influencing hepatic lipid acquisition during obesity. Reducing this stress lowers liver fat and associated gene expression.

Area of Science:

  • Neuroscience
  • Metabolic Diseases
  • Liver Pathophysiology

Background:

  • Metabolic dysfunction-associated steatotic liver disease (MASLD) is linked to metabolic syndrome and cardiometabolic risks.
  • The central nervous system, particularly endoplasmic reticulum (ER) stress in SFO→PVN neurons, is implicated in MASLD pathogenesis.

Purpose of the Study:

  • To investigate how ER stress in SFO→PVN neurons influences hepatic lipid regulatory pathways in obesity-induced MASLD.
  • To determine the role of ER stress in this specific neural circuit in the development of hepatic steatosis.

Main Methods:

  • Utilized a high-fat diet to induce hepatic steatosis in C57BL/6J male mice.
  • Employed intersectional viral targeting to inhibit ER stress in SFO→PVN neurons.
  • Analyzed hepatic lipid acquisition and disposal gene expression, and tyrosine hydroxylase levels.

Main Results:

  • Inhibition of ER stress in SFO→PVN neurons reduced hepatic triglycerides and lipid acquisition genes in obese mice.
  • This reduction was associated with decreased liver tyrosine hydroxylase expression.
  • Hepatic tyrosine hydroxylase expression positively correlated with lipid acquisition but not disposal pathways.

Conclusions:

  • ER stress in SFO→PVN neurons contributes to MASLD development, likely via sympathetic nervous system modulation of hepatic lipid acquisition.
  • Targeting ER stress in this neural circuit may offer a therapeutic strategy for MASLD.

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