JOURNAL ARTICLE

Chrysin, The Flavonoid Molecule of Antioxidant Interest.

  • Published In: ChemistrySelect, 2023, v. 8, n. 48. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Mohammed, Hamdoon A.; Sulaiman, Ghassan M.; Albukhaty, Salim; Al‐Saffar, Ali Z.; Elshibani, Fatma A.; Ragab, Ehab A. 3 of 3

Abstract

Chrysin, the natural bioactive flavone compound, has been identified in several edible materials such as honey, propolis, and passionflower with numerous biological potentials and pharmaceutical effects including antitumor, anti‐inflammatory, antiviral and antioxidant. The compound has been reported to have lower in vitro antioxidant activity compared to other flavone‐based structures such as quercetin, luteolin, and myricetin, which is mostly attributed to the higher hydroxylation and the presence of conjugated en‐diol structures in these flavonoids and the lack of these structural features in chrysin. On the contrary to the in vitro antioxidant effect of chrysin, the compound has exerted remarkable in vivo antioxidant activities in several models related to the liver, brain, heart, kidneys, and other soft tissues. The current review includes a discussion of the in vivo and in vitro antioxidant activity of chrysin compared to other common flavonoids. The study also covers subjects linked to chrysin antioxidants, such as its metabolism, bioavailability, and current formulations that aim to increase chrysin antioxidant impact and overcome its low bioavailability. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:ChemistrySelect. 2023/12, Vol. 8, Issue 48, p1
  • Document Type:Article
  • Subject Area:Health and Medicine
  • Publication Date:2023
  • ISSN:2365-6549
  • DOI:10.1002/slct.202303306
  • Accession Number:174881527
  • Copyright Statement:Copyright of ChemistrySelect is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.