Generational Diet-Induced Obesity Remodels the Omental Adipose Proteome in Female Mice

Nutrients. 2024 Sep 13;16(18):3086. doi: 10.3390/nu16183086.

Abstract

Obesity, a complex condition that involves genetic, environmental, and behavioral factors, is a non-infectious pandemic that affects over 650 million adults worldwide with a rapidly growing prevalence. A major contributor is the consumption of high-fat diets, an increasingly common feature of modern diets. Maternal obesity results in an increased risk of offspring developing obesity and related health problems; however, the impact of maternal diet on the adipose tissue composition of offspring has not been evaluated. Here, we designed a generational diet-induced obesity study in female C57BL/6 mice that included maternal cohorts and their female offspring fed either a control diet (10% fat) or a high-fat diet (45% fat) and examined the visceral adipose proteome. Solubilizing proteins from adipose tissue is challenging due to the need for high concentrations of detergents; however, the use of a detergent-compatible sample preparation strategy based on suspension trapping (S-Trap) enabled label-free quantitative bottom-up analysis of the adipose proteome. We identified differentially expressed proteins related to lipid metabolism, inflammatory disease, immune response, and cancer, providing valuable molecular-level insight into how maternal obesity impacts the health of offspring. Data are available via ProteomeXchange with the identifier PXD042092.

Keywords: S-Trap; adipose tissue; diet; generational obesity; obesity; omental tissue; proteomics; suspension trapping.

MeSH terms

  • Adipose Tissue / metabolism
  • Animals
  • Diet, High-Fat* / adverse effects
  • Female
  • Intra-Abdominal Fat / metabolism
  • Lipid Metabolism
  • Maternal Nutritional Physiological Phenomena
  • Mice
  • Mice, Inbred C57BL*
  • Obesity* / etiology
  • Obesity* / metabolism
  • Obesity, Maternal / metabolism
  • Omentum / metabolism
  • Pregnancy
  • Prenatal Exposure Delayed Effects / metabolism
  • Proteome*
  • Proteomics / methods

Substances

  • Proteome