A computational genetic- and transcriptomics-based study nominates drug repurposing candidates for the treatment of chronic pain

LMH acknowledges funding from NIMH (R01MH124839, R01MH118278, R01MH125938, RM1MH132648, R01MH136149), NIEHS (R01ES033630), and the Department of Defense (TP220451). CS acknowledges funding from NIH (F30MH132324).

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Institutions

Publication Details

Journal
EBioMedicine
Published
2025-11-08
DOI
https://doi.org/10.1016/j.ebiom.2025.106022
Citations
1
Primary Topic
Pain Mechanisms and Treatments
Type
article
Field-Weighted Citation Impact
1.16

Funders

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article

A computational genetic- and transcriptomics-based study nominates drug repurposing candidates for the treatment of chronic pain

Laura M. Huckins, Hannah Young, Alanna C. Cote, Keira J.A. Johnston et al.
1 citations
EBioMedicine
Pain Mechanisms and Treatments
1.16
article

A computational genetic- and transcriptomics-based study nominates drug repurposing candidates for the treatment of chronic pain

Laura M. Huckins, Hannah Young, Alanna C. Cote, Keira J.A. Johnston, Carina Seah
article en
1 citations

Abstract

LMH acknowledges funding from NIMH (R01MH124839, R01MH118278, R01MH125938, RM1MH132648, R01MH136149), NIEHS (R01ES033630), and the Department of Defense (TP220451). CS acknowledges funding from NIH (F30MH132324).

EBioMedicineVol. 122
Yale University (US), Icahn School of Medicine at Mount Sinai (US)
U.S. Department of Defense, Georgia Clinical and Translational Science Alliance, National Institutes of Health, National Institute of Mental Health, National Institute of Environmental Health Sciences, National Center for Advancing Translational Sciences
Openalex Percentile: Top 16%
Pain Mechanisms and Treatments
1.16
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