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
- endoplasmic reticulum stress
- ischemia reperfusion injury
- dna damage
- randomized controlled trial
- endothelial cells
- protein kinase
- type diabetes
- physical activity
- metabolic syndrome
- signaling pathway
- adipose tissue
- machine learning
- zika virus
- cardiovascular disease
- radiation therapy
- blood pressure
- human health
- drug induced
- cell migration
- high glucose
- polycystic ovary syndrome
- induced pluripotent stem cells
- stress induced