Adenosine Receptors

The main focus for the development of adenosine targets as analgesics to date has been A1RS due to its antinociceptive profile in various preclinical pain models. The usefulness of systemic A1R agonists may be limited by other effects (cardiovascular, motor), but enhanced selectivity for pain might occur with partial agonists, potent and highly selective agonists, or allosteric modulators. A2AR agonists exhibit some peripheral pronociceptive effects, but also act on immune cells to suppress inflammation and on spinal glia to suppress pain signaling and may be useful for inflammatory and neuropathic pain. A2BR agonists exhibit peripheral proinflammatory effects on immune cells, but also spinal antinociceptive effects similar to A2AR agonists. A3Rs are now demonstrated to produce antinociception in several preclinical neuropathic pain models, with mechan istic actions on glial cells, and may be useful for neuropathic pain. Endogenous adenosine levels can be augmented by inhibition of metabolism (via adenosine kinase) or increased generation (via nucleotidases), and these approaches have implications for pain. Endogenous adenosine contributes to antinociception by several pharmacological agents, herbal remedies, acupuncture, transcutaneous electrical nerve stimulation, exercise, joint mobilization, and water immersion via spinal and/or peripheral effects, such that this system appears to constitute a major pain regulatory system. All adenosine receptors have effects on spinal glial cells in regulating nociception, and gender differences in the involvement of such cells in chronic neuropathic pain indicate gender may also need attention in preclinical a nd human trials evaluating the efficacy of adenosine-based analgesics.
The recently solved crystal structures of A1 and A2AARs support both homology modeling studies and structure-based drug design approaches. Our scientific efforts focus on an iterative, bi-directional approach in which models are used to generate hypotheses that are tested by experimentation and the experimental findings are, in turn, used to refine the model. The success of this approach is due to the synergistic interaction between theory and experiment.


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