A Multitarget Approach to Evaluate the Efficacy of Aquilaria sinensis Flower Extract against Metabolic Syndrome.
Hee-Sung ChaeOlivia DaleTahir Maqbool MirBharathi AvulaJianping ZhaoIkhlas A KhanShabana I KhanPublished in: Molecules (Basel, Switzerland) (2022)
Aquilaria sinensis (Lour.) Spreng is known for its resinous secretion (agarwood), often secreted in defense against injuries. We investigated the effects of A. sinensis flower extract (AF) on peroxisome proliferator-activated receptors alpha and gamma (PPARα and PPARγ), liver X receptor (LXR), glucose uptake, and lipid accumulation (adipogenesis). Activation of PPARα, PPARγ and LXR was determined in hepatic (HepG2) cells by reporter gene assays. Glucose uptake was determined in differentiated muscle (C2C12) cells using 2-NBDG (2-deoxy-2-[(7-nitro-2,1,3-benzoxadiazol-4-yl)amino]-D-glucose). Adipogenesis was determined in adipocytes (3T3-L1 cells) by Oil red O staining. At a concentration of 50 µg/mL, AF caused 12.2-fold activation of PPARα and 5.7-fold activation of PPARγ, while the activation of LXR was only 1.7-fold. AF inhibited (28%) the adipogenic effect induced by rosiglitazone in adipocytes and increased glucose uptake (32.8%) in muscle cells at 50 μg/mL. It was concluded that AF acted as a PPARα/γ dual agonist without the undesired effect of adipogenesis and exhibited the property of enhancing glucose uptake. This is the first report to reveal the PPARα/γ dual agonistic action and glucose uptake enhancing property of AF along with its antiadipogenic effect, indicating its potential in ameliorating the symptoms of metabolic syndrome.
Keyphrases
- insulin resistance
- metabolic syndrome
- induced apoptosis
- atrial fibrillation
- blood glucose
- high fat diet induced
- fatty acid
- cell cycle arrest
- adipose tissue
- skeletal muscle
- oxidative stress
- cell death
- blood pressure
- crispr cas
- cardiovascular disease
- high throughput
- copy number
- gene expression
- cardiovascular risk factors
- cell proliferation
- sleep quality
- weight loss
- flow cytometry
- genome wide identification