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Iranian Journal of Chemistry and Chemical Engineering، جلد ۴۴، شماره ۳، صفحات ۶۴۲-۶۵۳
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عنوان انگلیسی Investigating Proteomic Analysis of Bezafibrate-Induced Apoptosis Activation in Oral Cancer Cells Using Biodegradable Nano Polymers: Materials Analysis and Numerical Analysis
چکیده انگلیسی مقاله Despite major advances in treatment options over time oral cancer remains a major global health problem because of its high death rates and the scarcity of effective treatments. This makes it vital to find targeted therapies to improve patient outcomes. This research looks at how the cholesterol-lowering drug bezafibrate might cause cell death in human oral cancer cells using protein analysis to study the underlying processes. The team checked for survival and cell death levels in OSCC cell lines that had been treated with bezafibrate and also measured the key proteins involved in cell death. A biodegradable delivery system was developed by them to improve bezafibrate’s healing effects and control its release mechanisms; which consisted of poly (lactic-co-glycolic acid) (PLGA) as well as polyethylene glycol (PEG). The results showed that bezafibrate reduced OSCC cell survival based on the dose and triggered cell death. It also altered the synthesis of numerous proteins associated with cell death, regulation of the cell cycle, and cellular metabolism thereby enhancing levels of important proteins involved in both intrinsic and extrinsic pathways of cell death like caspases Bcl-2 family members, and PARP. There was better solubility, stability, and cellular uptake when bezafibrate was encapsulated inside PLGA-PEG polymer matrices making apoptosis more pronounced than what was achieved through free drug use alone. These results indicate the potential efficacy of bezafibrate as an anti-cancer agent for oral cancer cells utilizing biodegradable polymers. The proteomic analysis reveals the molecular mechanisms of bezafibrate-induced apoptosis, which suggests that targeted drugs may provide a promising therapeutic strategy for the treatment of oral cancer. Integrating experimental and computational methods suggests the effectiveness of this interdisciplinary approach in advancing cancer research important in drug delivery. This research employed an Artificial Neural Network (ANN) to investigate how parameters behave and interact within a specific project. The neural network method showed robustness against errors in training data and proved effective across different fields, such as speech recognition, image processing, and robotics. Additionally, the network was used to predict cell viability, apoptosis, and protein expression by adjusting the dosages of bezafibrate and polymer matrix.
کلیدواژه‌های انگلیسی مقاله Oral cancer,Bezafibrate,Apoptosis,Proteomic Analysis,biodegradable polymers,numerical simulation
نویسندگان مقاله Bin Guo |
Department of Stomatology, Department of Stomatology, Central Hospital Affiliated to Shandong First Medical University, Jiefang Road, Lixia District, Jinan, Shandong, P.R. CHINA

Ting Wu |
Department of Stomatology, Shungeng Campus, Jinan Stomatological Hospital, Shungeng Road, Shizhong District, Jinan, Shandong, P.R. CHINA

Zixian Wang |
Department of Stomatology, Shandong Medical College, Second Ring South Road, Jinan, Shandong, P.R. CHINA

Yongshuo Li |
Department of Stomatology, Central Hospital Affiliated to Shandong First Medical University, Jiefang Road, Lixia District, Jinan, Shandong, P.R. CHINA

نشانی اینترنتی https://ijcce.ac.ir/article_720096_027f1fe0d4c5ef379912af294fcc2c05.pdf
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