Physiological Roles of Red Carrot Methanolic Extract and Vitamin E to Abrogate Cadmium-Induced Oxidative Challenge and Apoptosis in Rat Testes: Involvement of the Bax/Bcl-2 Ratio.
Ahmed Abdel-WahabKamel M A HassaninAhmed A MahmoudWalaa I E Abdel-BadeeaAbdel-Razik H Abdel-RazikEman Zekry AttiaUsama Ramadan AbdelmohsenRabie L Abdel AzizAgnieszka NajdaIbtesam S AlanaziKhalaf F AlsharifMohamed M Abdel-DaimMohamed O MahmoudPublished in: Antioxidants (Basel, Switzerland) (2021)
The precise analysis of the contents of the red carrot is still ambiguous and its role in the maintenance of male fertility needs to be further reconnoitered. Hence, this study targets the physiological impacts of either red carrot methanolic extract (RCME) or vitamin E (Vit. E), co-administrated with cadmium chloride (CdCl2) on rat testes, specifically those concerned with apoptosis and oxidative challenge. Four groups of adult male rats (n = 12) are used; control, CdCl2, CdCl2 + Vit. E and CdCl2 + RCME. LC-MS analysis of RCME reveals the presence of 20 different phytochemical compounds. Our data clarify the deleterious effects of CdCl2 on testicular weights, semen quality, serum hormonal profile, oxidative markers and Bax/Bcl-2 ratio. Histopathological changes in testicular, prostatic and semen vesicle glandular tissues are also observed. Interestingly, our data clearly demonstrate that co-administration of either RCME or Vit. E with CdCl2 significantly succeeded in the modulation (p < 0.05) of all of these negative effects. The most striking is that they were potent enough to modulate the Bax/Bcl-2 ratio as well as having the ability to correct the impaired semen picture, oxidant status and hormonal profile. Thus, RCME and Vit. E could be used as effective prophylactic treatments to protect the male reproductive physiology against CdCl2 insult.
Keyphrases
- oxidative stress
- induced apoptosis
- diabetic rats
- endoplasmic reticulum stress
- anti inflammatory
- cell death
- electronic health record
- big data
- cell cycle arrest
- prostate cancer
- heavy metals
- type diabetes
- polycystic ovary syndrome
- high glucose
- insulin resistance
- deep learning
- adipose tissue
- machine learning
- artificial intelligence
- quality improvement
- endothelial cells
- drug induced
- pi k akt