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The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration

BACKGROUND: Opioids are the cornerstone of treatment for moderate to severe pain, but chronic use leads to maladaptations that include: tolerance, dependence and opioid-induced hyperalgesia (OIH). These responses limit the utility of opioids, as well as our ability to control chronic pain. Despite d...

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Autores principales: Liang, De-Yong, Zheng, Ming, Sun, Yuan, Sahbaie, Peyman, Low, Sarah A, Peltz, Gary, Scherrer, Grégory, Flores, Cecilia, Clark, J David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038717/
https://www.ncbi.nlm.nih.gov/pubmed/24884839
http://dx.doi.org/10.1186/1471-2164-15-345
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author Liang, De-Yong
Zheng, Ming
Sun, Yuan
Sahbaie, Peyman
Low, Sarah A
Peltz, Gary
Scherrer, Grégory
Flores, Cecilia
Clark, J David
author_facet Liang, De-Yong
Zheng, Ming
Sun, Yuan
Sahbaie, Peyman
Low, Sarah A
Peltz, Gary
Scherrer, Grégory
Flores, Cecilia
Clark, J David
author_sort Liang, De-Yong
collection PubMed
description BACKGROUND: Opioids are the cornerstone of treatment for moderate to severe pain, but chronic use leads to maladaptations that include: tolerance, dependence and opioid-induced hyperalgesia (OIH). These responses limit the utility of opioids, as well as our ability to control chronic pain. Despite decades of research, we have no therapies or proven strategies to overcome this problem. However, murine haplotype based computational genetic mapping and a SNP data base generated from analysis of whole-genome sequence data (whole-genome HBCGM), provides a hypothesis-free method for discovering novel genes affecting opioid maladaptive responses. RESULTS: Whole genome-HBCGM was used to analyze phenotypic data on morphine-induced tolerance, dependence and hyperalgesia obtained from 23 inbred strains. The robustness of the genetic mapping results was analyzed using strain subsets. In addition, the results of analyzing all of the opioid-related traits together were examined. To characterize the functional role of the leading candidate gene, we analyzed transgenic animals, mRNA and protein expression in behaviorally divergent mouse strains, and immunohistochemistry in spinal cord tissue. Our mapping procedure identified the allelic pattern within the netrin-1 receptor gene (Dcc) as most robustly associated with OIH, and it was also strongly associated with the combination of the other maladaptive opioid traits analyzed. Adult mice heterozygous for the Dcc gene had significantly less tendency to develop OIH, become tolerant or show evidence of dependence after chronic exposure to morphine. The difference in opiate responses was shown not to be due to basal or morphine-stimulated differences in the level of Dcc expression in spinal cord tissue, and was not associated with nociceptive neurochemical or anatomical alterations in the spinal cord or dorsal root ganglia in adult animals. CONCLUSIONS: Whole-genome HBCGM is a powerful tool for identifying genes affecting biomedical traits such as opioid maladaptations. We demonstrate that Dcc affects tolerance, dependence and OIH after chronic opioid exposure, though not through simple differences in expression in the adult spinal cord. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi: 10.1186/1471-2164-15-345) contains supplementary material, which is available to authorized users.
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spelling pubmed-40387172014-06-06 The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration Liang, De-Yong Zheng, Ming Sun, Yuan Sahbaie, Peyman Low, Sarah A Peltz, Gary Scherrer, Grégory Flores, Cecilia Clark, J David BMC Genomics Research Article BACKGROUND: Opioids are the cornerstone of treatment for moderate to severe pain, but chronic use leads to maladaptations that include: tolerance, dependence and opioid-induced hyperalgesia (OIH). These responses limit the utility of opioids, as well as our ability to control chronic pain. Despite decades of research, we have no therapies or proven strategies to overcome this problem. However, murine haplotype based computational genetic mapping and a SNP data base generated from analysis of whole-genome sequence data (whole-genome HBCGM), provides a hypothesis-free method for discovering novel genes affecting opioid maladaptive responses. RESULTS: Whole genome-HBCGM was used to analyze phenotypic data on morphine-induced tolerance, dependence and hyperalgesia obtained from 23 inbred strains. The robustness of the genetic mapping results was analyzed using strain subsets. In addition, the results of analyzing all of the opioid-related traits together were examined. To characterize the functional role of the leading candidate gene, we analyzed transgenic animals, mRNA and protein expression in behaviorally divergent mouse strains, and immunohistochemistry in spinal cord tissue. Our mapping procedure identified the allelic pattern within the netrin-1 receptor gene (Dcc) as most robustly associated with OIH, and it was also strongly associated with the combination of the other maladaptive opioid traits analyzed. Adult mice heterozygous for the Dcc gene had significantly less tendency to develop OIH, become tolerant or show evidence of dependence after chronic exposure to morphine. The difference in opiate responses was shown not to be due to basal or morphine-stimulated differences in the level of Dcc expression in spinal cord tissue, and was not associated with nociceptive neurochemical or anatomical alterations in the spinal cord or dorsal root ganglia in adult animals. CONCLUSIONS: Whole-genome HBCGM is a powerful tool for identifying genes affecting biomedical traits such as opioid maladaptations. We demonstrate that Dcc affects tolerance, dependence and OIH after chronic opioid exposure, though not through simple differences in expression in the adult spinal cord. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi: 10.1186/1471-2164-15-345) contains supplementary material, which is available to authorized users. BioMed Central 2014-05-08 /pmc/articles/PMC4038717/ /pubmed/24884839 http://dx.doi.org/10.1186/1471-2164-15-345 Text en © Liang et al.; licensee BioMed Central Ltd. 2014 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Liang, De-Yong
Zheng, Ming
Sun, Yuan
Sahbaie, Peyman
Low, Sarah A
Peltz, Gary
Scherrer, Grégory
Flores, Cecilia
Clark, J David
The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration
title The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration
title_full The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration
title_fullStr The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration
title_full_unstemmed The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration
title_short The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration
title_sort netrin-1 receptor dcc is a regulator of maladaptive responses to chronic morphine administration
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4038717/
https://www.ncbi.nlm.nih.gov/pubmed/24884839
http://dx.doi.org/10.1186/1471-2164-15-345
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