Oxyresveratrol Increases Energy Expenditure through Foxo3a-Mediated Ucp1 Induction in High-Fat-Diet-Induced Obese Mice.
Jin Hee ChoiNo-Joon SongA Reum LeeDong Ho LeeMin-Ju SeoSuji KimSeo-Hyuk ChangDong Kwon YangYu-Jin HwangKyung-A HwangTal Soo HaUi Jeong YunKye Won ParkPublished in: International journal of molecular sciences (2018)
The phytochemical oxyresveratrol has been shown to exert diverse biological activities including prevention of obesity. However, the exact reason underlying the anti-obese effects of oxyresveratrol is not fully understood. Here, we investigated the effects and mechanism of oxyresveratrol in adipocytes and high-fat diet (HFD)-fed obese mice. Oxyresveratrol suppressed lipid accumulation and expression of adipocyte markers during the adipocyte differentiation of 3T3-L1 and C3H10T1/2 cells. Administration of oxyresveratrol in HFD-fed obese mice prevented body-weight gains, lowered adipose tissue weights, improved lipid profiles, and increased glucose tolerance. The anti-obese effects were linked to increases in energy expenditure and higher rectal temperatures without affecting food intake, fecal lipid content, and physical activity. The increased energy expenditure by oxyresveratrol was concordant with the induction of thermogenic genes including Ucp1, and the reduction of white adipocyte selective genes in adipose tissue. Furthermore, Foxo3a was identified as an oxyresveratrol-induced gene and it mimicked the effects of oxyresveratrol for induction of thermogenic genes and suppression of white adipocyte selective genes, suggesting the role of Foxo3a in oxyresveratrol-mediated anti-obese effects. Taken together, these data show that oxyresveratrol increases energy expenditure through the induction of thermogenic genes in adipose tissue and further implicates oxyresveratrol as an ingredient and Foxo3a as a molecular target for the development of functional foods in obesity and metabolic diseases.
Keyphrases
- adipose tissue
- high fat diet
- insulin resistance
- high fat diet induced
- genome wide
- metabolic syndrome
- transcription factor
- type diabetes
- physical activity
- genome wide identification
- bioinformatics analysis
- signaling pathway
- body weight
- body mass index
- poor prognosis
- genome wide analysis
- fatty acid
- oxidative stress
- bariatric surgery
- weight gain
- machine learning
- gene expression
- binding protein
- electronic health record
- big data
- cell proliferation
- copy number
- deep learning
- diabetic rats