Chlorogenic acid and caffeine combination attenuates adipogenesis by regulating fat metabolism and inhibiting adipocyte differentiation in 3T3-L1 cells.
Li KongMeng XuYangyang QiuMingfu LiaoQingfeng ZhangLicong YangGuo-Dong ZhengPublished in: Journal of food biochemistry (2021)
Obesity is a complex disease spreading in the world. In our previous studies, chlorogenic acid (CGA) and caffeine had ever been reported to reduce the body weight gain and fat accumulation in mice. This study investigated the anti-obesity effect of CGA and caffeine on 3T3-L1 cells. According to triglyceride (TG) assay and Oil-Red O staining, 40 μg/ml CGA and 160 μg/ml caffeine reduced TG content. Moreover, CGA + caffeine inhibited the mRNA expression of major adipogenic markers, PPAR-γ2, and C/EBPα in the metaphase and anaphase stages of differentiation induction (Day 2 and 4). CGA + caffeine improved P-AMPK/AMPK accompanied by decreasing the expression of GPDH and FAS to depress the lipid synthesis, increasing the mRNA expression of ACO and CAT to promote fatty acid oxidation and up-regulated the expression of hydrolysis-related enzyme adipose TG lipase (ATGL) and P-HSL/HSL. Furthermore, CGA + caffeine improved the expression of Glut4 which promoted the glucose transport. Taken together, these data demonstrated CGA + caffeine inhibited 3T3-L1 cells differentiation in the middle and late stages and reduced the fat accumulation through AMPK pathway by regulating the fat metabolism-related enzyme in 3T3-L1 cells to attenuates adipogenesis. PRACTICAL APPLICATIONS: The aim of this study was to elucidate the potential role of chlorogenic acid and caffeine in the treatment of obesity.
Keyphrases
- fatty acid
- induced apoptosis
- weight gain
- insulin resistance
- adipose tissue
- high fat diet induced
- cell cycle arrest
- metabolic syndrome
- weight loss
- type diabetes
- poor prognosis
- skeletal muscle
- body mass index
- oxidative stress
- endoplasmic reticulum stress
- cell death
- birth weight
- physical activity
- binding protein
- risk assessment
- artificial intelligence
- single cell
- protein kinase
- preterm birth
- big data
- high speed
- replacement therapy