In vivo luminescent imaging of NF-κB activity and NF-κB-related serum cytokine levels predict pain sensitivities in a rodent model of peripheral neuropathy.

Journal Article

Methods for the detection of the temporal and spatial generation of painful symptoms are needed to improve the diagnosis and treatment of painful neuropathies and to aid preclinical screening of molecular therapeutics.In this study, we utilized in vivo luminescent imaging of NF-κB activity and serum cytokine measures to investigate relationships between the NF-κB regulatory network and the presentation of painful symptoms in a model of neuropathy.The chronic constriction injury model led to temporal increases in NF-κB activity that were strongly and non-linearly correlated with the presentation of pain sensitivities (i.e. mechanical allodynia and thermal hyperalgesia). The delivery of NEMO-binding domain peptide reduced pain sensitivities through the inhibition of NF-κB activity in a manner consistent with the demonstrated non-linear relationship. Importantly, the combination of non-invasive measures of NF-κB activity and NF-κB-regulated serum cytokines produced a highly predictive model of both mechanical (R(2) = 0.86) and thermal (R(2) = 0.76) pain centred on the NF-κB regulatory network (NF-κB, IL-6, CXCL1).Using in vivo luminescent imaging of NF-κB activity and serum cytokine measures, this work establishes NF-κB and NF-κB-regulated cytokines as novel multivariate biomarkers of pain-related sensitivity in this model of neuropathy that may be useful for the rapid screening of novel molecular therapeutics.

Full Text

Duke Authors

Cited Authors

  • Bowles, RD; Karikari, IO; VanDerwerken, DN; Sinclair, MS; Bell, RD; Riebe, KJ; Huebner, JL; Kraus, VB; Sempowski, GD; Setton, LA

Published Date

  • March 2016

Published In

Volume / Issue

  • 20 / 3

Start / End Page

  • 365 - 376

PubMed ID

  • 26032161

Electronic International Standard Serial Number (EISSN)

  • 1532-2149

International Standard Serial Number (ISSN)

  • 1090-3801

Digital Object Identifier (DOI)

  • 10.1002/ejp.732

Language

  • eng