0% Complete
فارسی
Home
/
سی و دومین کنفرانس ملی و دهمین کنفرانس بین المللی مهندسی زیست پزشکی ایران
A Quantitative Approach to Assess Rhus coriaria Nanophytosomes in Ketamine-Induced Liver Injury
Authors :
Narjes Amin
1
Akbar Hajizadeh Moghadam
2
Amin Mohammad Mohammadi
3
Kimia Mozahheb Yousefi
4
Fereshteh Mir Mohammadrezaei
5
Sedigheh Khanjani Jelodar
6
1- دانشگاه مازندران
2- دانشگاه مازندران
3- دانشگاه تهران
4- دانشگاه علوم پزشکی ایران
5- دانشگاه مازندران
6- دانشگاه مازندران
Keywords :
Rhus coriaria،Sumac،Ketamine-induced liver toxicity،Nanophytosome،Hepatoprotection
Abstract :
Background: Ketamine, a widely used anesthetic, can cause hepatotoxicity primarily through elevation of serum liver enzymes. Rhus coriaria (sumac) has antioxidant potential, but its clinical application is limited by poor bioavailability. This study investigates the protective effects of sumac and its nanophytosome formulation against ketamine-induced liver injury in male mice. Methods: Twenty-five male mice were randomly assigned to five groups: control, nanophytosome control, ketamine (20 mg/kg), sumac-treated, and sumac-nanophytosome-treated. Serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels were measured after 15 days. Sumac nanophytosomes were synthesized and characterized for particle size and encapsulation efficiency. Results: Ketamine increased ALT to 150 ± 12 U/L and AST to 180 ± 15 U/L vs. control (ALT 45 ± 6, AST 52 ± 7, p < 0.001). Treatment with sumac nanophytosomes reduced ALT to 68 ± 9 (p = 0.002, η² = 0.62) and AST to 92 ± 11 (p < 0.001, η² = 0.71). Crude sumac extract reduced enzymes less effectively (ALT 102 ± 13, AST 138 ± 12). Conclusion: Sumac nanophytosomes demonstrate significant hepatoprotective effects against ketamine-induced liver injury by reducing ALT and AST levels. This nanotechnology-based formulation offers a promising strategy for managing drug-induced hepatotoxicity and represents the first direct comparison of crude versus nanophytosome sumac in this context.
Papers List
List of archived papers
بازیابی لحظات ویدئویی در بازیهای رایانهای: از مدلهای زبانی بزرگ تا یادگیری تقابلی
محمد گل زوری - پارسا ذاکرحیات - مصطفی عمری
Toward Precision Psychiatry: Differentiating Depression and Psychosis Using EEG-Based Machine Learning Models
Vahid Asayesh - Mehdi Dehghani - Majid Torabi - Sepideh Akhtari-Khosroshahi - Maedeh Akhtari-Khosroshahi - Sebelan Daneshvar
Fused Deposition Modeling in Bone Tissue Engineering: A Comprehensive Review
Parsa Doaguie - Shima Mirzaie Parsa
نقش علم داده در مهندسی راه و ترابری
حمیدرضا ربانینژاد
بررسی تأثیر هوش مصنوعی فازی بر رضایت مشتریان خدمات گردشگری سلامت
حسام رضایی - متین رحیمی مرام - مریم مصلح
بررسی تاثیر ورشکستگی بر رابطه بین استراتژیهای تجاری و معیارهای عملکرد شرکت (ESG)
جواد پورغفار - ایوب یغمائی علیشاه
Experimental Framework for Quantifying Muscle Force-Length Behavior in Dynamic Exercise
Erfan Farahani - Manizheh Zakeri - Mohammad-Reza Sayyed Noorani
Artificial Intelligence in the medical fields : cardiovascular disease
Elham Rasoulian leilabadi - Soodabeh Davaran
بررسی چالش ها و راهکارهای مدیریت منابع در شبکه های بی سیم اینترنت اشیا با تمرکز بر محاسبات مه و لبه
سعیده نادری - سید حمید غفوری مهدی آباد
Magnetic Catheter Robot with Reduced Friction for Endovascular Minimally Invasive Access
Sina Eskandary - Mohammad Amin Salati - Rezayat Parvizi - Farhang Abbasi
more
Samin Hamayesh - Version 42.5.2