The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Polyphenols in the treatment of autoimmune diseases
Open accessAbstract
In addition to protecting body from infections and diseases, the immune system produces auto-antibodies that can cause complex autoimmune disorders, such as Type I diabetes, primary biliary cirrhosis, rheumatoid arthritis, and multiple sclerosis, to name a few. In such cases, the immune system fails to recognize between foreign agents and its own body cells. Different factors, such as genetic factors (CD25, STAT4), epigenetic factors (DNA methylation, histone modifications) and environmental factors (xenobiotics, drugs, hormones) trigger autoimmunity. Glucocorticoids, non-steroidal anti-inflammatory drugs (NSAIDs), immunosuppressive and biological agents are currently used to manage autoimmune diseases of different origins. However, complete cure remains elusive. Many dietary and natural products including polyphenols have been widely studied as possible alternative treatment strategies for the management of autoimmune disorders. Polyphenols possess a wide-range of pharmacological and therapeutic properties, including antioxidant and anti-inflammatory activities. As immunomodulatory agents, polyphenols are emerging pharmaceutical tools for management of various autoimmune disorders including vitiligo, ulcerative colitis and multiple sclerosis (MS). Polyphenols activate intracellular pathways such as arachidonic acid dependent pathway, nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signalling pathway, mitogen-activated protein kinases (MAPKs) pathway, phosphatidylinositol 3-kinase/protein kinase B (PI3K/Akt) signaling pathway and epigenetic modulation, which regulate the host’s immune response. This timely review discusses putative points of action of polyphenols in autoimmune diseases, characterizing their efficacy and safety as therapeutic agents in managing autoimmune disorders.
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Cites
The functions of animal microRNAs
Ambros, V. (2004) · Nature · doi:10.1038/nature02871 · Cited by 10,728
Bettelli, E., Carrier, Y., Gao, W., Korn, T., Strom, T. B., Oukka, M., Weiner, H. L., & Kuchroo, V. K. (2006) · Nature · doi:10.1038/nature04753 · Cited by 6,992
The Immunomodulatory and Anti-Inflammatory Role of Polyphenols
Yahfoufi, N., Alsadi, N., Jambi, M., & Matar, C. (2018) · Nutrients · doi:10.3390/nu10111618 · Cited by 1,737
Fruit polyphenols, immunity and inflammation
González-Gallego, J., García-Mediavilla, M. V., Sánchez-Campos, S., & Tuñón, M. J. (2010) · British Journal Of Nutrition · doi:10.1017/s0007114510003910 · Cited by 387
Cosorich, I., Dalla-Costa, G., Sorini, C., Ferrarese, R., Messina, M. J., Dolpady, J., Radice, E., Mariani, A., Testoni, P. A., Canducci, F., et al. (2017) · Science Advances · doi:10.1126/sciadv.1700492 · Cited by 338
Reglodi, D., Renaud, J., Tamas, A., Tizabi, Y., Socías, S. B., Del-Bel, E., & Raisman-Vozari, R. (2017) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2015.10.004 · Cited by 162
Cited by
A role for quercetin in coronavirus disease 2019 (COVID‐19)
Derosa, G., Maffioli, P., D'Angelo, A., & Di Pierro, F. (2021) · Phytotherapy Research · doi:10.1002/ptr.6887 · Cited by 303
Li, W., Wang, K., Liu, Y., Wu, H., He, Y., Li, C., Wang, Q., Su, X., Yan, S., Su, W., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.912933 · Cited by 106
Lamichhane, A., Lamichhane, G., & Devkota, H. P. (2023) · Molecules · doi:10.3390/molecules28166071 · Cited by 28
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Metadata
- Authors
- Khan, H., Sureda, A., Belwal, T., Çetinkaya, S., Süntar, İ., Tejada, S., Devkota, H. P., Ullah, H., & Aschner, M.
- Venue
- Autoimmunity Reviews
- Publisher
- Elsevier BV
- Published
- 2019-07
- Volume
- 18
- Issue
- 7
- Pages
- 647-657
- ISSN
- 1568-9972 (ISSN-L)
- OpenAlex
- W2943211034
- Cited by
- 220
- References
- 6
- FWCI
- 15.08
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Khan, H., Sureda, A., Belwal, T., Çetinkaya, S., Süntar, İ., Tejada, S., Devkota, H. P., Ullah, H., & Aschner, M. (2019). Polyphenols in the treatment of autoimmune diseases. Autoimmunity Reviews. https://doi.org/10.1016/j.autrev.2019.05.001
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