Inhibitory Potential of α-Amylase, α-Glucosidase, and Pancreatic Lipase by a Formulation of Five Plant Extracts: TOTUM-63.
Quentin HaguetFlorian Le JoubiouxVivien ChavanelleIngrid Fruitier-ArnaudinNathan SchoonjansCédric LanghiArnaud MichauxYolanda F OteroNathalie BoisseauSébastien L PeltierPascal SirventThierry MaugardPublished in: International journal of molecular sciences (2023)
Controlling post-prandial hyperglycemia and hyperlipidemia, particularly by regulating the activity of digestive enzymes, allows managing type 2 diabetes and obesity. The aim of this study was to assess the effects of TOTUM-63, a formulation of five plant extracts ( Olea europaea L., Cynara scolymus L., Chrysanthellum indicum subsp. afroamericanum B.L.Turner, Vaccinium myrtillus L., and Piper nigrum L.), on enzymes involved in carbohydrate and lipid absorption. First, in vitro inhibition assays were performed by targeting three enzymes: α-glucosidase, α-amylase, and lipase. Then, kinetic studies and binding affinity determinations by fluorescence spectrum changes and microscale thermophoresis were performed. The in vitro assays showed that TOTUM-63 inhibited all three digestive enzymes, particularly α-glucosidase (IC 50 of 13.1 µg/mL). Mechanistic studies on α-glucosidase inhibition by TOTUM-63 and molecular interaction experiments indicated a mixed (full) inhibition mechanism, and higher affinity for α-glucosidase than acarbose, the reference α-glucosidase inhibitor. Lastly, in vivo data using leptin receptor-deficient (db/db) mice, a model of obesity and type 2 diabetes, indicated that TOTUM-63 might prevent the increase in fasting glycemia and glycated hemoglobin (HbA1c) levels over time, compared with the untreated group. These results show that TOTUM-63 is a promising new approach for type 2 diabetes management via α-glucosidase inhibition.
Keyphrases
- type diabetes
- molecular docking
- insulin resistance
- high fat diet induced
- glycemic control
- metabolic syndrome
- high throughput
- drug delivery
- cardiovascular disease
- molecular dynamics simulations
- weight loss
- high fat diet
- adipose tissue
- oxidative stress
- weight gain
- risk assessment
- big data
- mass spectrometry
- single molecule
- blood glucose
- red blood cell
- transcription factor
- binding protein
- physical activity
- dna binding