| Literature DB >> 33692134 |
Ana M Moreno1, Fernando Alemán1, Glaucilene F Catroli2, Matthew Hunt2, Michael Hu1, Amir Dailamy1, Andrew Pla1, Sarah A Woller2, Nathan Palmer3, Udit Parekh4, Daniella McDonald1,5, Amanda J Roberts6, Vanessa Goodwill7, Ian Dryden7, Robert F Hevner7, Lauriane Delay2, Gilson Gonçalves Dos Santos2, Tony L Yaksh8, Prashant Mali9.
Abstract
Current treatments for chronic pain rely largely on opioids despite their substantial side effects and risk of addiction. Genetic studies have identified in humans key targets pivotal to nociceptive processing. In particular, a hereditary loss-of-function mutation in NaV1.7, a sodium channel protein associated with signaling in nociceptive sensory afferents, leads to insensitivity to pain without other neurodevelopmental alterations. However, the high sequence and structural similarity between NaV subtypes has frustrated efforts to develop selective inhibitors. Here, we investigated targeted epigenetic repression of NaV1.7 in primary afferents via epigenome engineering approaches based on clustered regularly interspaced short palindromic repeats (CRISPR)-dCas9 and zinc finger proteins at the spinal level as a potential treatment for chronic pain. Toward this end, we first optimized the efficiency of NaV1.7 repression in vitro in Neuro2A cells and then, by the lumbar intrathecal route, delivered both epigenome engineering platforms via adeno-associated viruses (AAVs) to assess their effects in three mouse models of pain: carrageenan-induced inflammatory pain, paclitaxel-induced neuropathic pain, and BzATP-induced pain. Our results show effective repression of NaV1.7 in lumbar dorsal root ganglia, reduced thermal hyperalgesia in the inflammatory state, decreased tactile allodynia in the neuropathic state, and no changes in normal motor function in mice. We anticipate that this long-lasting analgesia via targeted in vivo epigenetic repression of NaV1.7 methodology we dub pain LATER, might have therapeutic potential in management of persistent pain states.Entities:
Mesh:
Year: 2021 PMID: 33692134 PMCID: PMC8830379 DOI: 10.1126/scitranslmed.aay9056
Source DB: PubMed Journal: Sci Transl Med ISSN: 1946-6234 Impact factor: 17.956