JOURNAL ARTICLE
Flavonoids as new regulators of mitochondrial potassium channels: contribution to cardioprotection.
Published In: Journal of Pharmacy & Pharmacology, 2023, v. 75, n. 4. P. 466 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Kampa, Rafał P; Sęk, Aleksandra; Bednarczyk, Piotr; Szewczyk, Adam; Calderone, Vincenzo; Testai, Lara 3 of 3
Abstract
This article reviews the role of mitochondrial potassium (mitoK) channels as regulators of mitochondrial function and their contribution to cardioprotection, focusing particularly on the activation of these channels by flavonoids. MitoK channels, including mitochondrial ATP-sensitive potassium (mitoK_ATP) and large conductance calcium-activated potassium (mitoBK_Ca) channels, modulate mitochondrial membrane potential, reduce reactive oxygen species (ROS) production, and prevent calcium overload, thereby protecting cardiomyocytes from ischemia/reperfusion injury. Several flavonoids—such as naringenin, quercetin, morin, genistein, theaflavin, puerarin, epigallocatechin gallate, proanthocyanidins, baicalein, and luteolin—have been identified as effective modulators of mitoK channels, mediating cardioprotective effects through channel activation. The review highlights the potential of flavonoid-induced mitoK channel activation as a promising mechanism for cardiovascular disease prevention and therapy, while noting the need for further clinical studies to confirm their nutraceutical value.
Additional Information
- Source:Journal of Pharmacy & Pharmacology. 2023/04, Vol. 75, Issue 4, p466
- Document Type:Article
- Subject Area:Health and Medicine
- Publication Date:2023
- ISSN:0022-3573
- DOI:10.1093/jpp/rgac093
- Accession Number:163075952
- Copyright Statement:Copyright of Journal of Pharmacy & Pharmacology is the property of Oxford University Press / USA 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.)
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