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Cited by 762

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

2-Arachidonyl glyceryl ether, an endogenous agonist of the cannabinoid CB 1 receptor

Open access
Hanuš, Lumír, Abu-Lafi, Saleh, Fride, Ester, Breuer, Aviva, Vogel, Zvi, Shalev, Deborah E., Kustanovich, Irina, Mechoulam, Raphael·2001·Proceedings of the National Academy of Sciences

Abstract

Two types of endogenous cannabinoid-receptor agonists have been identified thus far. They are the ethanolamides of polyunsaturated fatty acids—arachidonoyl ethanolamide (anandamide) is the best known compound in the amide series—and 2-arachidonoyl glycerol, the only known endocannabinoid in the ester series. We report now an example of a third, ether-type endocannabinoid, 2-arachidonyl glyceryl ether (noladin ether), isolated from porcine brain. The structure of noladin ether was determined by mass spectrometry and nuclear magnetic resonance spectroscopy and was confirmed by comparison with a synthetic sample. It binds to the CB 1 cannabinoid receptor ( K i = 21.2 ± 0.5 nM) and causes sedation, hypothermia, intestinal immobility, and mild antinociception in mice. It binds weakly to the CB 2 receptor ( K i > 3 μM).

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Crossref · 10.1073/pnas.061029898

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Metadata

Authors
Hanuš, L., Abu-Lafi, S., Fride, E., Breuer, A., Vogel, Z., Shalev, D. E., Kustanovich, I., & Mechoulam, R.
Venue
Proceedings of the National Academy of Sciences
Published
2001-03-20
Volume
98
Issue
7
Pages
3662-3665
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2096529235
Cited by
762
References
3
FWCI
31.94
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: 2-Arachidonyl glyceryl ether, an endogenous agonist of the cannabinoid CB 1 receptor. https://app.cochat.ai/papers/10.1073/pnas.061029898
The paper
Hanuš, L., Abu-Lafi, S., Fride, E., Breuer, A., Vogel, Z., Shalev, D. E., Kustanovich, I., & Mechoulam, R. (2001). 2-Arachidonyl glyceryl ether, an endogenous agonist of the cannabinoid CB 1 receptor. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.061029898

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.