High Gamma-Aminobutyric Acid (GABA) Oolong Tea Alleviates High-Fat Diet-Induced Metabolic Disorders in Mice.
Monthana WeerawatanakornSang HeChun-Han ChangYen-Chun KohMeei-Ju YangMin-Hsiung PanPublished in: ACS omega (2023)
Obesity and overweight are associated with an increasing risk of developing health conditions and chronic non-communicable diseases, including cardiovascular diseases, cancer, musculoskeletal problems, respiratory problems, and mental health, and its prevalence is rising. Diet is one of three primary lifestyle interventions. Many bioactive components in tea especially oolong tea, including flavonoids, gamma-aminobutyric acid (GABA), and caffeine were reported to show related effects in reducing the risk of obesity. However, the effects of GABA oolong tea extracts (OTEs) on high-fat diet (HFD)-induced obesity are still unclear. Therefore, this study aims to explore whether the intervention of GABA OTEs can prevent HFD-induced obesity and decipher its underlying mechanisms using male C57BL/6 J mice. The result indicated that GABA OTEs reduced leptin expression in epididymal adipose tissue and showed a protective effect on nonalcoholic fatty liver disease. It promoted thermogenesis-related protein of uncoupling protein-1 and peroxisome proliferator-activated receptor-gamma coactivator (PGC-1α), boosted lipid metabolism, and promoted fatty acid oxidation. It also reduced lipogenesis-related protein levels of sterol regulatory element binding protein, acetyl-CoA carboxylase, and fatty acid synthase and inhibited hepatic triglyceride (TG) levels. These data suggest that regular drinking of GABA oolong tea has the potential to reduce the risk of being overweight, preventing obesity development through thermogenesis, lipogenesis, and lipolysis.
Keyphrases
- high fat diet induced
- insulin resistance
- adipose tissue
- high fat diet
- mental health
- fatty acid
- metabolic syndrome
- weight loss
- skeletal muscle
- binding protein
- physical activity
- cardiovascular disease
- type diabetes
- public health
- healthcare
- randomized controlled trial
- diabetic rats
- squamous cell carcinoma
- high glucose
- weight gain
- risk factors
- drug induced
- coronary artery disease
- endothelial cells
- cardiovascular risk factors
- machine learning
- electronic health record
- long non coding rna
- social media
- data analysis
- protein protein
- alcohol consumption