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Cited by 895

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Adenosine receptors as drug targets — what are the challenges?

Open access
Chen, Jiang-Fan, Eltzschig, Holger K., Fredholm, Bertil B.·2013·Nature Reviews Drug Discovery

Abstract

Adenosine signalling has long been a target for drug development, with adenosine itself or its derivatives being used clinically since the 1940s. In addition, methylxanthines such as caffeine have profound biological effects as antagonists at adenosine receptors. Moreover, drugs such as dipyridamole and methotrexate act by enhancing the activation of adenosine receptors. There is strong evidence that adenosine has a functional role in many diseases, and several pharmacological compounds specifically targeting individual adenosine receptors — either directly or indirectly — have now entered the clinic. However, only one adenosine receptor-specific agent — the adenosine A2A receptor agonist regadenoson (Lexiscan; Astellas Pharma) — has so far gained approval from the US Food and Drug Administration (FDA). Here, we focus on the biology of adenosine signalling to identify hurdles in the development of additional pharmacological compounds targeting adenosine receptors and discuss strategies to overcome these challenges.

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Metadata

Authors
Chen, J.-F., Eltzschig, H. K., & Fredholm, B. B.
Venue
Nature Reviews Drug Discovery
Published
2013-03-28
Volume
12
Issue
4
Pages
265-286
ISSN
  • 1474-1776 (ISSN-L)
  • 1474-1784
OpenAlex
W1975391500
Cited by
895
References
21
FWCI
3.31
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Adenosine receptors as drug targets — what are the challenges? https://app.cochat.ai/papers/10.1038/nrd3955
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Chen, J.-F., Eltzschig, H. K., & Fredholm, B. B. (2013). Adenosine receptors as drug targets — what are the challenges? Nature Reviews Drug Discovery. https://doi.org/10.1038/nrd3955

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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.