ArticleMedicine and pharmacy reports2022
The comparative effects of Resveratrol and Curcumin in combination with photodynamic therapy.
Article in Medicine and pharmacy reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 11 citations in OpenAlex.
- Single or Daily Application of Topical Curcumin Prevents Ultraviolet B-Induced Apoptosis in Mice.Molecules (Basel, Switzerland) · 2023Trial
- Synergistic Effects of Natural Products and Mesenchymal Stem Cells in Osteoarthritis Treatment: A Narrative Review.Current issues in molecular biology · 2025Review
- Synergic anti-tumor effects of photodynamic therapy and resveratrol on triple-negative breast cancer cells.Photochemical & photobiological sciences : Official journal of the European Photochemistry Association and the European Society for Photobiology · 2025Article
- Advancements in Nanocarrier Delivery Systems for Photodynamic Therapy in Lung Cancer.International journal of nanomedicine · 2025Review
- Potential of Resveratrol to Combine with Hydrogel for Photodynamic Therapy against Bacteria and Cancer-A Review.Biomedicines · 2024Review
- A Systematic Review on Advances in Management of Oxidative Stress-Associated Cardiovascular Diseases.Antioxidants (Basel, Switzerland) · 2024Review
- Single-Component Dual-Functional Autoboost Strategy by Dual Photodynamic and Cyclooxygenase-2 Inhibition for Lung Cancer and Spinal Metastasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
Corrections and comments
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Authors and funding
10 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and aim: Photodynamic therapy, PDT, is a promising option among the local treatments with oncolytic potential. Although the basic principle is simple, its intricate mechanisms allow for a broad range of optimization methods. The purpose of this study was to assess the effects of Resveratrol and Curcumin as adjuvants of PDT on experimental tumors. Methods: Sixty-six Wistar male rats were divided into 11 groups: control, Curcumin (CUR), Resveratrol (RES) alone or followed by irradiation (IR) (CUR+IR and RES+IR, respectively), 5,10,15,20-tetra-sulphonato-phenyl-porphyrin (TSPP), TSPP+IR (PDT), and CUR or RES administered prior to or after PDT (CUR+TSPP+IR, RES+TSPP+IR, TSPP+IR+CUR, TSPP+IR+RES). Results: Both CUR and RES significantly decreased lipid peroxidation, while RES also showed an increase in glutathione (GSH) levels, especially when it was administered before PDT (p<0.01). Both antioxidants decreased cyclooxygenase (COX)2 expression, to a minimum when they administered prior to PDT (p<0.001 and p<0.01) while nitric oxide synthase (NOS)2 expression diminished in the combined regimen, particularly in RES associated with PDT. CUR and RES induced similar changes in terms of cell death, but CUR seemed to be more efficient on tumor necrosis and showed a higher apoptotic index when was administered after PDT (p<0.001). Conclusion: Both RES and CUR in association with PDT decreased oxidative stress, diminished the COX2 and NOS2 expressions and increased cell death by positively influencing the necrotic rate and apoptotic index, particularly when CUR was administered after PDT. The results show that CUR is a promising class to study in PDT optimization and further invites to exploit its promises.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.