Back to Search Start Over

Uncovering the Mechanisms of Adenosine Receptor-Mediated Pain Control: Focus on the A3 Receptor Subtype

Authors :
Felicita Pedata
Federica Cherchi
Kenneth A. Jacobson
Carla Ghelardini
Daniela Salvemini
Elisabetta Coppi
Anna Maria Pugliese
Lorenzo Di Cesare Mannelli
Elena Lucarini
Source :
International Journal of Molecular Sciences, Vol 22, Iss 7952, p 7952 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

Agonists of the Gi protein-coupled A3 adenosine receptor (A3AR) have shown important pain-relieving properties in preclinical settings of several pain models. Active as a monotherapy against chronic pain, A3AR agonists can also be used in combination with classic opioid analgesics. Their safe pharmacological profile, as shown by clinical trials for other pathologies, i.e., rheumatoid arthritis, psoriasis and fatty liver diseases, confers a realistic translational potential, thus encouraging research studies on the molecular mechanisms underpinning their antinociceptive actions. A number of pathways, involving central and peripheral mechanisms, have been proposed. Recent evidence showed that the prototypical A3AR agonist Cl-IB-MECA and the new, highly selective, A3AR agonist MRS5980 inhibit neuronal (N-type) voltage-dependent Ca2+ currents in dorsal root ganglia, a known pain-related mechanism. Other proposed pathways involve reduced cytokine production, immune cell-mediated responses, as well as reduced microglia and astrocyte activation in the spinal cord. The aim of this review is to summarize up-to-date information on A3AR in the context of pain, including cellular and molecular mechanisms underlying this effect. Based on their safety profile shown in clinical trials for other pathologies, A3AR agonists are proposed as novel, promising non-narcotic agents for pain control.

Details

Language :
English
ISSN :
16616596 and 14220067
Volume :
22
Issue :
7952
Database :
OpenAIRE
Journal :
International Journal of Molecular Sciences
Accession number :
edsair.doi.dedup.....b7b974704c106158f838752384bd4fa7