FGF21 is an endocrine hormone that regulates energy homeostasis and insulin sensitivity. The mechanism of FGF21 action and the tissues responsible for these effects have been controversial, with both adipose tissues and the central nervous system having been identified as the target site mediating FGF21-dependent increases in insulin sensitivity, energy expenditure, and weight loss. Here we show that, while FGF21 signaling to adipose tissue is required for the acute insulin-sensitizing effects of FGF21, FGF21 signaling to adipose tissue is not required for its chronic effects to increase energy expenditure and lower body weight. Also, in contrast to previous studies, we found that adiponectin is dispensable for the metabolic effects of FGF21 in increasing insulin sensitivity and energy expenditure. Instead, FGF21 acutely enhances insulin sensitivity through actions on brown adipose tissue. Our data reveal that the acute and chronic effects of FGF21 can be dissociated through adipose-dependent and -independent mechanisms.
Pubmed ID: 28380381 RIS Download
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
This polyclonal targets Mouse Klotho beta
View all literature mentionsThis monoclonal targets Myc Tag
View all literature mentionsThis polyclonal targets p44/42 MAPK (Erk1/2)
View all literature mentionsThis polyclonal targets Erk1/2
View all literature mentionsThis monoclonal targets beta-Actin
View all literature mentionsMus musculus with name B6.FVB-Tg(Ucp1-cre)1Evdr/J from IMSR.
View all literature mentionsMus musculus with name B6.129S4(FVB)-Insrtm1Khn/J from IMSR.
View all literature mentionsMus musculus with name B6;FVB-Tg(Adipoq-cre)1Evdr/J from IMSR.
View all literature mentionsMus musculus with name B6;129-Adipoqtm1Chan/J from IMSR.
View all literature mentionsStatistical analysis software that combines scientific graphing, comprehensive curve fitting (nonlinear regression), understandable statistics, and data organization. Designed for biological research applications in pharmacology, physiology, and other biological fields for data analysis, hypothesis testing, and modeling.
View all literature mentions