Unraveling molecular mechanisms involved in the development of leptin resistance using the pig as a model

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The increase in obesity worldwide underlines the need for research concerning its metabolic and genetic determinants. One of the most intriguing mechanisms regarding obesity involves leptin and its signaling cascade. Leptin is a key regulator contributing to the fine-tuned crosstalk between nutrient availability and appetite signaling in the central nervous system. Owing to ethical concerns, many human tissues are not readily available and pigs can serve as a good animal model owing to their comparable anatomy, metabolism and genetics. In the present study, we utilized the pig to investigate the possible impact of increased adiposity on the development of alterations within the leptin signaling pathway. Two divergent groups of pigs (High and Low) were defined based on a high and low amount of mesenteric fat. Cortex, cerebellum, hypothalamus, mesenteric, subcutaneous and retroperitoneal fat tissues were used to study changes in expression levels of 94 mRNA transcripts related to the leptin signaling pathway using the qPCR approach. No significant differences were found at the central nervous system, whereas the expression level of STAT1 was reduced in mesenteric fat and leptin (LEP) and interleukin 6 (IL6) were shown to be consistently increased in all analyzed fat compartments from pigs with a high amount of mesenteric fat. These results could imply the onset of leptin and pro-inflammatory cytokine overexpression at early stages of obesity in the analyzed pigs without affecting any key components in the central nervous system. Thus, these pigs showing a unique leptin deregulation in adipose tissues could be a useful translational resource for studies of obesity and leptin resistance phenotypes.

Original languageEnglish
JournalAnimal Genetics
Volume52
Issue number1
Pages (from-to)55-65
ISSN0268-9146
DOIs
Publication statusPublished - 2021

    Research areas

  • adipose tissue, leptin, leptin resistance, pig

ID: 252680527