Increased nitric oxide availability attenuates high fat diet metabolic alterations and gene expression associated

Urszula Razny1, Beata Kiec-Wilk, Lukasz Wator

  • 1Department of Clinical Biochemistry, Jagiellonian University Medical College, Kopernika 15a Street, 31-501 Cracow, Poland. urazny@cm-uj.krakow.pl

Abstract

Insights

Increased nitric oxide (NO) bioavailability helps mitigate high-fat diet-induced metabolic changes and insulin resistance. This study shows higher NO levels improve glucose regulation and adipokine profiles in mice on a high-fat diet.

Area of Science:

  • Metabolic research
  • Cardiovascular research
  • Endocrinology

Background:

  • High-fat diets (HFD) are known to reduce nitric oxide (NO) bioavailability, contributing to insulin resistance.
  • The precise relationship between NO availability and metabolic adaptation during HFD is not fully understood.

Purpose of the Study:

  • To investigate the impact of altered NO bioavailability on metabolic responses to a HFD.
  • To compare the effects in mice with reduced (eNOS-/-) and increased (DDAH overexpressed) NO levels.

Main Methods:

  • Mice with varying NO bioavailability (eNOS-/-, DDAH overexpressed, WT) were fed a HFD for 13 weeks.
  • Evaluated body weight, serum parameters (adipokines, insulin, glucose, cholesterol), and performed angiogenesis assessment.
  • Analyzed adipose tissue gene expression using microarray and Real Time PCR.

Main Results:

  • Mice with increased NO availability (DDAH overexpressed) showed improved glucose levels and increased adiponectin.
  • eNOS-/- mice exhibited reduced weight gain, while DDAH mice displayed enhanced angiogenic responses.
  • Gene expression patterns indicated altered adipocyte differentiation and lipid synthesis pathways in response to NO levels.

Conclusions:

  • Elevated NO bioavailability can attenuate certain metabolic dysregulations induced by HFD.
  • Increased NO availability shows potential in mitigating HFD-associated insulin resistance markers and altering gene expression profiles.