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Volume 7, Issue 1 (2-2025)                   pbp 2025, 7(1): 83-89 | Back to browse issues page


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soudi R, Hatamkhani S. Medicinal Plants for Enhancing Vision in Traditional Medicine. pbp 2025; 7 (1) :83-89
URL: http://pbp.medilam.ac.ir/article-1-256-en.html
1- Department of ophthalmology, school if medicine, urmia university of medical sciences, urmia, iran
2- Department of Clinical Pharmacy, School of Pharmacy, Urmia University of Medical Sciences, Urmia, Iran , hatamkhani.sh@umsu.ac.ir
Abstract:   (360 Views)
Objective: Plants serve as a rich repository of bioactive compounds with the potential to promote ocular health, prevent eye diseases, and enhance visual function. Traditional medicine has long utilized plant-based remedies to improve vision. This review aims to identify and elucidate the mechanisms of action of natural antioxidants derived from plants that exhibit beneficial effects on visual health.
Methods: In this review study, relevant articles were searched using keywords such as medicinal plants, vision, vision improvement, and traditional medicine. Databases like Google Scholar, SID, Magiran, PubMed, and Scopus were used for the search.
Results: Medicinal plants including fennel, lemon, saffron, cranberry, green tea, turmeric, grapes, celery, and dandelion were found to enhance vision.
Conclusion: This review highlights the potential of medicinal plants to enhance visual function and prevent ocular diseases. The antioxidant properties of these plants can safeguard ocular tissues from oxidative damage, thereby mitigating the risk of conditions such as dry eye syndrome, glaucoma, and other ocular disorders. To fully harness the therapeutic potential of medicinal plants, further research is imperative to elucidate their precise mechanisms of action and optimize their application in both traditional and modern medicine.
 
Full-Text [PDF 1788 kb]   (34 Downloads)    
Type of Study: Research | Subject: Clinical
Received: 2024/09/22 | Accepted: 2025/02/28 | Published: 2025/02/28

References
1. Forrester JV, Dick AD, McMenamin P, Roberts F, Pearlman E. The eye. Elsevier; 2021.
2. Biedert, Ralf, Georg Buscher, and Andreas Dengel. "The eye book." Informatik-Spektrum 33.3 (2009): 272-281.
3. Parvaiz A, Khalid MA, Zafar R, Ameer H, Ali M, Fraz MM. Vision Transformers in medical computer vision—A contemplative retrospection. Engineering Applications of Artificial Intelligence. 2023 Jun 1;122:106126.
4. Knauer C, Pfeiffer N. The value of vision. Graefe's Archive for Clinical and Experimental Ophthalmology. 2008 Apr;246:477-82.
5. Bertone A, Bettinelli L, Faubert J. The impact of blurred vision on cognitive assessment. Journal of Clinical and Experimental Neuropsychology. 2007 Jun 11;29(5):467-76.
6. Newman N, Biousse V. Diagnostic approach to vision loss. CONTINUUM: Lifelong Learning in Neurology. 2014 Aug 1;20(4):785-815.
7. Iregren A, Andersson M, Nylén P. Color vision and occupational chemical exposures: I. An overview of tests and effects. Neurotoxicology. 2002 Dec 1;23(6):719-33.
8. Shayanfar J, Ghasemi H, Esmaili SS, Alijaniha F, Davati A. Useful medicinal plants for vision impairment in traditional Iranian medicine. Galen Medical Journal. 2019;8:e1285.
9. Nasirian M. Herbal medicine in Iran. 3rd ed. Tehran: Iranian Academic Press; 2020.
10. Hosseini S, Ghaffari M. Traditional Iranian medicine and herbal treatments. 2nd ed. Mashhad: Mashhad University Press; 2018.
11. Zargari A. Medicinal plants of Iran. Tehran: Tehran University Press; 1990.
12. Mozaffarian V. Iranian medicinal plants: a review. 4th ed. Isfahan: Isfahan University Press; 2016.
13. Amin G. Popular medicinal plants of Iran. Tehran: Khosravi Press; 2019.
14. Yazdani M, Ramezani M. Iranian traditional herbal medicine: principles and applications. Shiraz: Shiraz University Press; 2017.
15. Shahbazi M, Amini M. Herbal remedies in Persian traditional medicine. 1st ed. Tehran: Tarbiat Modares University Press; 2015.
16. Fazli M. A guide to medicinal plants of Iran. 5th ed. Tehran: Payam Noor Press; 2021.
17. Jafari S. Medicinal plants and their therapeutic uses in Iran. 2nd ed. Tabriz: Tabriz University Press; 2014.
18. Khorasani R. Medicinal herbs of Iran: an introduction to Iranian phytotherapy. 3rd ed. Mashhad: Ferdowsi University Press; 2013.
19. Zeeshan A, Akram H, Qasim S, Naseer A, Nazar F, Rafique O. The Healing Touch of Foeniculum vulgare Mill.(Fennel): A Review on Its Medicinal Value and Health Benefits. Journal of Health and Rehabilitation Research. 2023 Dec 24;3(2):793-800.
20. Li M, Zhao H, Guo X. LIME-Eval: Rethinking Low-light Image Enhancement Evaluation via Object Detection. arXiv preprint arXiv:2410.08810. 2024 Oct 11.
21. Shamabadi A, Asadigandomani H, Kazemzadeh K, Farahmand K, Bahri RA, Akhondzadeh S. Crocus sativus (saffron) and age-related macular degeneration. Medical Hypothesis, Discovery and Innovation in Ophthalmology. 2024 Oct 14;13(3):139.
22. Kalt W, Cassidy A, Howard LR, Krikorian R, Stull AJ, Tremblay F, Zamora-Ros R. Recent research on the health benefits of blueberries and their anthocyanins. Advances in Nutrition. 2020 Mar 1;11(2):224-36.
23. Liu Z, Zhang R, Yang C, Hu B, Luo X, Li Y, Dong C. Research on moisture content detection method during green tea processing based on machine vision and near-infrared spectroscopy technology. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy. 2022 Apr 15;271:120921.
24. Sharma S, Dhalsamant K, Tripathy PP. Application of computer vision technique for physical quality monitoring of turmeric slices during direct solar drying. Journal of Food Measurement and Characterization. 2019 Mar 15;13:545-58.
25. Jin H, Li Y, Qi J, Feng J, Tian D, Mu W. GrapeGAN: Unsupervised image enhancement for improved grape leaf disease recognition. Computers and Electronics in Agriculture. 2022 Jul 1;198:107055.
26. Su WH, Slaughter DC, Fennimore SA. Non-destructive evaluation of photostability of crop signaling compounds and dose effects on celery vigor for precision plant identification using computer vision. Computers and electronics in agriculture. 2020 Jan 1;168:105155.
27. Ramesh R, Sathiamoorthy S. Blood Vessel Segmentation and Classification for Diabetic Retinopathy Grading Using Dandelion Optimization Algorithm with Deep Learning Model. International Journal of Intelligent Engineering & Systems. 2023 Sep 1;16(5).

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