Centella asiatica mitigates the detrimental effects of Bisphenol-A (BPA) on pancreatic islets.
Oly BanerjeeSiddhartha SinghTiyesh PaulBithin Kumar MajiSandip MukherjeePublished in: Scientific reports (2024)
Bisphenol-A (BPA) is widely used in food packaging and household products, leading to daily human exposure and potential health risks including metabolic diseases like type 2 diabetes mellitus (T2DM). Understanding BPA's mechanisms and developing intervention strategies is urgent. Centella asiatica, a traditional herbal medicine containing pentacyclic triterpenoids, shows promise due to its antioxidant and anti-inflammatory properties, utilized for centuries in Ayurvedic therapy. We investigated the effect of Centella asiatica (CA) ethanol extract on BPA-induced pancreatic islet toxicity in male Swiss albino mice. BPA administration (10 and 100 μg/kg body weight, twice daily) for 21 days caused glucose homeostasis disturbances, insulin resistance, and islet dysfunction, which were partially mitigated by CA supplementation (200 and 400 mg/kg body weight). Additionally, heightened oxidative stress, elevated levels of proinflammatory cytokines, loss of mitochondrial membrane potential (MMP), abnormal cell cycle, and increased apoptosis were implicated in the detrimental impact of BPA on the endocrine pancreas which were effectively counteracted by CA supplementation. In summary, CA demonstrated a significant ability to mitigate BPA-induced apoptosis, modulate redox homeostasis, alleviate inflammation, preserve MMP, and regulate the cell cycle. As a result, CA emerged as a potent agent in neutralizing the diabetogenic effects of BPA to a considerable extent.
Keyphrases
- oxidative stress
- cell cycle
- induced apoptosis
- body weight
- diabetic rats
- anti inflammatory
- cell proliferation
- ischemia reperfusion injury
- endoplasmic reticulum stress
- dna damage
- insulin resistance
- endothelial cells
- metabolic syndrome
- physical activity
- protein kinase
- randomized controlled trial
- human health
- adipose tissue
- type diabetes
- high fat diet induced
- cardiovascular disease
- signaling pathway
- machine learning
- stem cells
- glycemic control
- risk assessment
- zika virus
- deep learning
- high glucose
- blood glucose
- cardiovascular risk factors
- mesenchymal stem cells
- mass spectrometry