Conserved transcriptional programming across sex and species after peripheral nerve injury predicts treatments for neuropathic pain

Author:

Ghazisaeidi Shahrzad12ORCID,Muley Milind M.2,Tu YuShan2,Finn David P.3,Kolahdouzan Mahshad12,Pitcher Graham M.2,Kim Doyeon2,Sengar Ameet S.2,Ramani Arun K.4,Brudno Michael4567,Salter Michael W.12ORCID

Affiliation:

1. Department of Physiology University of Toronto Toronto Ontario Canada

2. Program in Neuroscience & Mental Health The Hospital for Sick Children Toronto Ontario Canada

3. Pharmacology and Therapeutics, School of Medicine, Centre for Pain Research University of Galway Galway Ireland

4. Centre for Computational Medicine The Hospital for Sick Children Toronto Canada

5. Department of Computer Science University of Toronto Toronto Canada

6. Techna Institute University Health Network Toronto Canada

7. Vector Institute for Artificial Intelligence Toronto Canada

Abstract

AbstractBackground and PurposeChronic pain is a devastating problem affecting one in five individuals around the globe, with neuropathic pain the most debilitating and poorly treated type of chronic pain. Advances in transcriptomics have contributed to cataloguing diverse cellular pathways and transcriptomic alterations in response to peripheral nerve injury but have focused on phenomenology and classifying transcriptomic responses.Experimental approachTo identifying new types of pain‐relieving agents, we compared transcriptional reprogramming changes in the dorsal spinal cord after peripheral nerve injury cross‐sex and cross‐species, and imputed commonalities, as well as differences in cellular pathways and gene regulation.Key ResultsWe identified 93 transcripts in the dorsal horn that were increased by peripheral nerve injury in male and female mice and rats. Following gene ontology and transcription factor analyses, we constructed a pain interactome for the proteins encoded by the differentially expressed genes, discovering new, conserved signalling nodes. We investigated the interactome with the Drug‐Gene database to predict FDA‐approved medications that may modulate key nodes within the network. The top hit from the analysis was fostamatinib, the molecular target of which is the non‐receptor spleen associated tyrosine kinase (Syk), which our analysis had identified as a key node in the interactome. We found that intrathecally administrating the active metabolite of fostamatinib, R406 and another Syk inhibitor P505‐15, significantly reversed pain hypersensitivity in both sexes.Conclusions and ImplicationsThus, we have identified and shown the efficacy of an agent that could not have been previously predicted to have analgesic properties.

Funder

Canadian Institutes of Health Research

Publisher

Wiley

Subject

Pharmacology

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