65
Views
3
CrossRef citations to date
0
Altmetric
Papers

Cardiovascular receptor binding affinity of aqueous extracts from Allium species

, &
Pages 433-439 | Received 03 Dec 2009, Accepted 04 Jan 2010, Published online: 06 May 2010
 

Abstract

Introduction The aims of this study were to evaluate whether the antihypertensive effect of garlic could to be associated to interactions with adrenergic and dopaminergic receptors involved in regulating blood pressure and to compare these data with those obtained from wild Allium species.

Methods The aqueous extracts of bulbs or leaves of Allium sativum L. (garlic), Allium neapolitanum Cyr., Allium subhirsutum L., and Allium roseum L. were tested for their in vitro affinity for the adrenergic (α1, α2, β1 and β2) and dopaminergic (D1 and D2) receptors by radioligand binding assays.

Results Interesting results were shown by bulbs extracts of A. neapolitanum and A. subhirsutum with higher affinities for the β2 receptors and by bulbs extract of A. roseum for D2 receptors.

Conclusions The known antihypertensive activity of Allium sativum cannot be correlated with binding to receptors involved in blood pressure regulation. However, aqueous extracts of the wild-type species of Allium show much higher affinities, warranting further explorations.

Declaration of interest: The present study was supported by University of Siena PAR grant 2006. The authors report no conflicts of interest. The authors alone are responsible for the content and writing of the paper.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 910.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.