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Cited by 283

The DOI matches its Crossref record; 113 of the 113 references it cites were found in a registry or an index.

Mechanisms of ATP Release by Inflammatory Cells

Open access
Dosch, Michel, Gerber, Joël, Jebbawi, Fadi, Beldi, Guido·2018·International Journal of Molecular Sciences

Abstract

Extracellular nucleotides (e.g., ATP, ADP, UTP, UDP) released by inflammatory cells interact with specific purinergic P2 type receptors to modulate their recruitment and activation. The focus of this review is on stimuli and mechanisms of extracellular nucleotide release and its consequences during inflammation. Necrosis leads to non-specific release of nucleotides, whereas specific release mechanisms include vesicular exocytosis and channel-mediated release via connexin or pannexin hemichannels. These release mechanisms allow stimulated inflammatory cells such as macrophages, neutrophils, and endothelial cells to fine-tune autocrine/paracrine responses during acute and chronic inflammation. Key effector functions of inflammatory cells are therefore regulated by purinergic signaling in acute and chronic diseases, making extracellular nucleotide release a promising target for the development of new therapies.

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Crossref · 10.3390/ijms19041222

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Metadata

Authors
Dosch, M., Gerber, J., Jebbawi, F., & Beldi, G.
Venue
International Journal of Molecular Sciences
Publisher
MDPI AG
Published
2018-04-18
Volume
19
Issue
4
Pages
1222
ISSN
1422-0067 (ISSN-L)
OpenAlex
W2801022696
Cited by
283
References
113
FWCI
18.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Mechanisms of ATP Release by Inflammatory Cells. https://app.cochat.ai/papers/10.3390/ijms19041222
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Dosch, M., Gerber, J., Jebbawi, F., & Beldi, G. (2018). Mechanisms of ATP Release by Inflammatory Cells. International Journal of Molecular Sciences. https://doi.org/10.3390/ijms19041222

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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.