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The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model

Neuropathic pain is a common chronic condition, which remains poorly understood. Many patients receiving treatment continue to experience severe pain, due to limited diagnostic/treatment management programmes. The development of objective clinical diagnostic/treatment strategies requires identificat...

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Autores principales: Young, Bethan, Stephenson, John, Islam, Barira, Burke, Nikita N., Jennings, Elaine M., Finn, David P., McHugh, Patrick C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899164/
https://www.ncbi.nlm.nih.gov/pubmed/36422814
http://dx.doi.org/10.1007/s12035-022-03124-7
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author Young, Bethan
Stephenson, John
Islam, Barira
Burke, Nikita N.
Jennings, Elaine M.
Finn, David P.
McHugh, Patrick C.
author_facet Young, Bethan
Stephenson, John
Islam, Barira
Burke, Nikita N.
Jennings, Elaine M.
Finn, David P.
McHugh, Patrick C.
author_sort Young, Bethan
collection PubMed
description Neuropathic pain is a common chronic condition, which remains poorly understood. Many patients receiving treatment continue to experience severe pain, due to limited diagnostic/treatment management programmes. The development of objective clinical diagnostic/treatment strategies requires identification of robust biomarkers of neuropathic pain. To this end, we looked to identify biomarkers of chronic neuropathic pain by assessing gene expression profiles in an animal model of neuropathic pain, and differential gene expression in patients to determine the potential translatability. We demonstrated cross-species validation of several genes including those identified through bioinformatic analysis by assessing their expression in blood samples from neuropathic pain patients, according to conservative assessments of significance measured using Bonferroni-corrected p-values. These include CASP5 (p = 0.00226), CASP8 (p = 0.00587), CASP9 (p = 2.09 × 10(−9)), FPR2 (p = 0.00278), SH3BGRL3 (p = 0.00633), and TMEM88 (p = 0.00038). A ROC analysis revealed several combinations of genes to show high levels of discriminatory power in the comparison of neuropathic pain patients and control participants, of which the combination SH3BGRL3, TMEM88, and CASP9 achieved the highest level (AUROC = 0.923). The CASP9 gene was found to be common in five combinations of three genes revealing the highest levels of discriminatory power. In contrast, the gene combination PLAC8, ROMO1, and A3GALT2 showed the highest levels of discriminatory power in the comparison of neuropathic pain and nociceptive pain (AUROC = 0.919), when patients were grouped by S-LANSS scores. Molecules that demonstrate an active role in neuropathic pain have the potential to be developed into a biological measure for objective diagnostic tests, or as novel drug targets for improved pain management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12035-022-03124-7.
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spelling pubmed-98991642023-02-06 The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model Young, Bethan Stephenson, John Islam, Barira Burke, Nikita N. Jennings, Elaine M. Finn, David P. McHugh, Patrick C. Mol Neurobiol Article Neuropathic pain is a common chronic condition, which remains poorly understood. Many patients receiving treatment continue to experience severe pain, due to limited diagnostic/treatment management programmes. The development of objective clinical diagnostic/treatment strategies requires identification of robust biomarkers of neuropathic pain. To this end, we looked to identify biomarkers of chronic neuropathic pain by assessing gene expression profiles in an animal model of neuropathic pain, and differential gene expression in patients to determine the potential translatability. We demonstrated cross-species validation of several genes including those identified through bioinformatic analysis by assessing their expression in blood samples from neuropathic pain patients, according to conservative assessments of significance measured using Bonferroni-corrected p-values. These include CASP5 (p = 0.00226), CASP8 (p = 0.00587), CASP9 (p = 2.09 × 10(−9)), FPR2 (p = 0.00278), SH3BGRL3 (p = 0.00633), and TMEM88 (p = 0.00038). A ROC analysis revealed several combinations of genes to show high levels of discriminatory power in the comparison of neuropathic pain patients and control participants, of which the combination SH3BGRL3, TMEM88, and CASP9 achieved the highest level (AUROC = 0.923). The CASP9 gene was found to be common in five combinations of three genes revealing the highest levels of discriminatory power. In contrast, the gene combination PLAC8, ROMO1, and A3GALT2 showed the highest levels of discriminatory power in the comparison of neuropathic pain and nociceptive pain (AUROC = 0.919), when patients were grouped by S-LANSS scores. Molecules that demonstrate an active role in neuropathic pain have the potential to be developed into a biological measure for objective diagnostic tests, or as novel drug targets for improved pain management. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12035-022-03124-7. Springer US 2022-11-24 2023 /pmc/articles/PMC9899164/ /pubmed/36422814 http://dx.doi.org/10.1007/s12035-022-03124-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Young, Bethan
Stephenson, John
Islam, Barira
Burke, Nikita N.
Jennings, Elaine M.
Finn, David P.
McHugh, Patrick C.
The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model
title The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model
title_full The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model
title_fullStr The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model
title_full_unstemmed The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model
title_short The Identification of Human Translational Biomarkers of Neuropathic Pain and Cross-Species Validation Using an Animal Model
title_sort identification of human translational biomarkers of neuropathic pain and cross-species validation using an animal model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9899164/
https://www.ncbi.nlm.nih.gov/pubmed/36422814
http://dx.doi.org/10.1007/s12035-022-03124-7
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