J 2021

Structure Elucidation and Cholinesterase Inhibition Activity of Two New Minor Amaryllidaceae Alkaloids

MARIKOVA, J., A. AL MAMUN, L. AL SHAMMARI, J. KORABECNY, T. KUCERA et. al.

Basic information

Original name

Structure Elucidation and Cholinesterase Inhibition Activity of Two New Minor Amaryllidaceae Alkaloids

Authors

MARIKOVA, J., A. AL MAMUN, L. AL SHAMMARI, J. KORABECNY, T. KUCERA, D. HULCOVA, J. KUNES, Milan MALANÍK (203 Czech Republic, belonging to the institution), M. VASKOVA, E. KOHELOVA, L. NOVAKOVA, L. CAHLIKOVA and M. POUR (guarantor)

Edition

Molecules, BASEL, SWITZERLAND, MDPI, 2021, 1420-3049

Other information

Language

English

Type of outcome

Článek v odborném periodiku

Field of Study

30104 Pharmacology and pharmacy

Country of publisher

Switzerland

Confidentiality degree

není předmětem státního či obchodního tajemství

References:

Impact factor

Impact factor: 4.927

RIV identification code

RIV/00216224:14160/21:00122469

Organization unit

Faculty of Pharmacy

UT WoS

000628415800001

Keywords in English

Amaryllidaceae; 9-O-demethyllycorenine; narciabduliine; Alzheimer’ s disease

Tags

Tags

International impact, Reviewed
Změněno: 13/12/2021 11:50, JUDr. Sabina Krejčiříková

Abstract

V originále

Two new minor Amaryllidaceae alkaloids were isolated from Hippeastrum x hybridum cv. Ferrari and Narcissus pseudonarcissus cv. Carlton. The chemical structures were identified by various spectroscopic (one- and two-dimensional (1D and 2D) NMR, circular dichroism (CD), high-resolution mass spectrometry (HRMS) and by comparison with literature data of similar compounds. Both isolated alkaloids were screened for their human acetylcholinesterase (hAChE) and butyrylcholinesterase (hBuChE) inhibition activity. One of the new compounds, a heterodimer alkaloid of narcikachnine-type, named narciabduliine (2), showed balanced inhibition potency for both studied enzymes, with IC50 values of 3.29 +/- 0.73 mu M for hAChE and 3.44 +/- 0.02 mu M for hBuChE. The accommodation of 2 into the active sites of respective enzymes was predicted using molecular modeling simulation.