The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Antinociceptive and Antioxidant Activities of Phytol In Vivo and In Vitro Models
Open accessAbstract
The objective of the present study was to evaluate the antinociceptive effects of phytol using chemical and thermal models of nociception in mice and to assess its antioxidant effects in vitro. Phytol was administered intraperitoneally (i.p.) to mice at doses of 25, 50, 100, and 200 mg/kg. In the acetic acid-induced writhing test, phytol significantly reduced the number of contortions compared to the control group (P<0.001). In the formalin test, phytol reduced significantly the amount of time spent in paw licking in both phases (the neurogenic and inflammatory phases), this effect being more pronounced in the second phase (P<0.001). Phytol also provoked a significant increase in latency in the hot plate test. These antinociceptive effects did not impaire the motor performance, as shown in the rotarod test. Phytol demonstrated a strong antioxidant effect in vitro in its capacity to remove hydroxyl radicals and nitric oxide as well as to prevent the formation of thiobarbituric acid reactive substances (TBARS). Taken as a whole, these results show the pronounced antinociceptive effects of phytol in the nociception models used, both through its central and peripheral actions, but also its antioxidant properties demonstrated in the in vitro methods used.
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Cites
Colowick, S. P., Joshi, M. D., Jagannathan, & KAPLAN, N. O. (1966) · Cited by 26,137
Free radicals in biology and medicine
(1991) · General Pharmacology: The Vascular System · doi:10.1016/0306-3623(91)90478-o · Cited by 17,178
The Chemistry behind Antioxidant Capacity Assays
Huang, D., Ou, B., & Prior, R. L. (2005) · Journal of Agricultural and Food Chemistry · doi:10.1021/jf030723c · Cited by 6,162
Neuronal plasticity: Increasing the gain in pain
Woolf, C. J., & Salter, M. W. (2000) · Science · doi:10.1126/science.288.5472.1765 · Cited by 3,781 · cited 2×
“The sensation of pain accompanies the majority of human diseases, alerting the body to the presence of harmful stimuli [1].”
Background[42] Determination of aldehydic lipid peroxidation products: Malonaldehyde and 4-hydroxynonenal
Esterbauer, H., & Cheeseman, K. H. (1990) · Methods in Enzymology · doi:10.1016/0076-6879(90)86134-h · Cited by 3,345
Molecular mechanisms of nociception
Julius, D., & Basbaum, A. I. (2001) · Nature · doi:10.1038/35093019 · Cited by 2,685 · cited 3×
“This method, first described by Woolfe and Macdonald [34], consists of quantifying the reaction time to the thermal stimulus caused by a plate heated to a temperature of 53 ± 1C, based on a pain threshold that, depending on the type of fiber, ranges from 43 to 53C [3].”
BackgroundMethodThe formalin test in mice: dissociation between inflammatory and non-inflammatory pain
Hunskaar, S., & Hole, K. (1987) · Pain · doi:10.1016/0304-3959(87)90088-1 · Cited by 2,186
ACETIC ACID FOR ANALGESIC SCREENING
KOSTER, R., Anderson, W. N., & de Beer, E. J. (1959) · Medical Entomology and Zoology · Cited by 2,132
The induction of pain: an integrative review
Millan, M. J. (1999) · Progress in Neurobiology · doi:10.1016/s0301-0082(98)00048-3 · Cited by 1,774
Dunham, N. W., & Miya, T. S. (1957) · Journal of the American Pharmaceutical Association (Scientific ed.) · doi:10.1002/jps.3030460322 · Cited by 1,716
Cited by
Phytol: A review of biomedical activities
Islam, M. T., Ali, E. S., Uddin, S. J., Shaw, S., Islam, M. A., Ahmed, M. I., Chandra Shill, M., Karmakar, U. K., Yarla, N. S., Khan, I. N., et al. (2018) · Food and Chemical Toxicology · doi:10.1016/j.fct.2018.08.032 · Cited by 490
Metadata
- Authors
- Santos, C. C. D. M. P., Salvadori, M. S., Mota, V. G., Costa, L. M., de Almeida, A. A. C., de Oliveira, G. A. L., Costa, J. P., de Sousa, D. P., de Freitas, R. M., & de Almeida, R. N.
- Venue
- Neuroscience Journal
- Publisher
- Wiley
- Published
- 2013-06-11
- Volume
- 2013
- Pages
- 1-9
- ISSN
- 2314-4262 (ISSN-L)
- 2314-4270
- OpenAlex
- W2159017944
- Cited by
- 346
- References
- 57
- FWCI
- 8.36
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Santos, C. C. D. M. P., Salvadori, M. S., Mota, V. G., Costa, L. M., de Almeida, A. A. C., de Oliveira, G. A. L., Costa, J. P., de Sousa, D. P., de Freitas, R. M., & de Almeida, R. N. (2013). Antinociceptive and Antioxidant Activities of Phytol In Vivo and In Vitro Models. Neuroscience Journal. https://doi.org/10.1155/2013/949452
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.