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Cited by 272

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

Endocannabinoid signaling in microglial cells

Open access
Stella, Nephi·2009·Neuropharmacology

Abstract

The endocannabinoid signaling system (eCBSS) is composed of cannabinoid (CB) receptors, their endogenous ligands (the endocannabinoids, eCB) and the enzymes that produce and inactivate these ligands. Neurons use this signaling system to communicate with each other and Delta9-tetrahydrocannabinol (THC), the main psychotropic ingredient of Cannabis sativa, induces profound behavioral effects by impinging on this communication. Evidence now shows that microglia, the macrophages of the brain, also express a functional eCBSS and that activation of CB receptors expressed by activated microglia controls their immune-related functions. This review summarizes this evidence, discusses how microglia might use the eCBSS to communicate with each other and neighboring cells, and argues that compounds selectively targeting the eCBSS expressed by microglia constitute valuable therapeutics to manage acute and chronic neuroinflammation, without inducing the psychotropic effects and underlying addictive properties commonly associated with THC.

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Crossref · 10.1016/j.neuropharm.2008.07.037

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Metadata

Authors
Stella, N.
Venue
Neuropharmacology
Publisher
Elsevier BV
Published
2009-01
Volume
56
Pages
244-253
ISSN
0028-3908 (ISSN-L)
OpenAlex
W2150675101
Cited by
272
References
22
FWCI
8.90
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Endocannabinoid signaling in microglial cells. https://app.cochat.ai/papers/10.1016/j.neuropharm.2008.07.037
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Stella, N. (2009). Endocannabinoid signaling in microglial cells. Neuropharmacology. https://doi.org/10.1016/j.neuropharm.2008.07.037

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.