Antiproliferative activity and apoptosis-inducing mechanism of Curcuma longa (Turmimax®) on HeLa cell lines.
H M FirozS NanjundaiahSadashiva Thimmegowda ChannangihalliB NeethumolY RashmiA K SreedrisyaPublished in: Brazilian journal of biology = Revista brasleira de biologia (2023)
Curcumin, the primary polyphenol found in turmeric, is derived from the Curcuma longa plant. Since curcumin is nontoxic and has a wide range of medicinal qualities, including anti-oxidant, analgesic, anti-inflammatory, and antibacterial action, it has been widely employed in Ayurveda medicine for ages. Curcumin has recently been discovered to have anti-cancer properties through its impact on numerous biological pathways involved in carcinogenesis, metastasis, tumorigenesis, cell cycle regulation, mutagenesis, and oncogene expression. In this study, we determined the Antiproliferative activity and apoptosis-inducing mechanism of C. longa (Turmimax®) on human cancer cells. The cytotoxic effect was evaluated against HeLa cell lines using the MTT (3-(4, 5-dimethylthiazol-2-yl)-2, 5-diphenyltetrazolium bromide) assay. Flow cytometric analysis was performed to detect apoptotic cell death. Turmimax® exhibits promising properties as a potential anti-cancer therapeutic agent in human cervical adenocarcinomas and possibly other cancer types, with an IC50 value of 87.89 µg/mL. In HeLa cells treated with Turmimax®, cell cycle arrest was seen in the G0/G1 and S phases. By inducing apoptosis and increasing the number of apoptotic cells in a dose-dependent manner, the experimental data suggest that Turmimax® has considerable promise in cancer prevention and treatment.
Keyphrases
- cell cycle arrest
- cell death
- anti inflammatory
- cell cycle
- endothelial cells
- pi k akt
- papillary thyroid
- squamous cell
- cell proliferation
- induced pluripotent stem cells
- big data
- poor prognosis
- squamous cell carcinoma
- crispr cas
- electronic health record
- high throughput
- machine learning
- neuropathic pain
- spinal cord injury
- induced apoptosis
- combination therapy
- binding protein
- spinal cord
- endoplasmic reticulum stress
- lymph node metastasis
- climate change
- risk assessment
- young adults
- artificial intelligence
- deep learning
- plant growth