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 de...

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Main Authors: Liang, De-Yong, Zheng, Ming, Sun, Yuan, Sahbaie, Peyman, Low, Sarah, Peltz, Gary, Scherrer, Gregory, Flores, Cecilia, Clark, J.
Other Authors: Anesthesiology Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, USA
Language:en
Published: BioMed Central 2014
Subjects:
Online Access:Liang et al. BMC Genomics 2014, 15:345 http://www.biomedcentral.com/1471-2164/15/345
http://hdl.handle.net/10150/610027
http://arizona.openrepository.com/arizona/handle/10150/610027
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spelling ndltd-arizona.edu-oai-arizona.openrepository.com-10150-6100272016-05-22T03:01:30Z 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 Peltz, Gary Scherrer, Gregory Flores, Cecilia Clark, J. Anesthesiology Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, USA Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, USA Stanford Institute for Neuro-Innovation and Translational Neurosciences, Stanford, USA Department of Psychiatry, McGill University, Montreal, Canada Genetics Mapping Opioid Pain Addiction 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. 2014 Article Liang et al. BMC Genomics 2014, 15:345 http://www.biomedcentral.com/1471-2164/15/345 10.1186/1471-2164-15-345 http://hdl.handle.net/10150/610027 http://arizona.openrepository.com/arizona/handle/10150/610027 1471-2164 BMC Genomics en http://www.biomedcentral.com/1471-2164/15/345 © 2014 Liang et al.; licensee 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) BioMed Central
collection NDLTD
language en
sources NDLTD
topic Genetics
Mapping
Opioid
Pain
Addiction
spellingShingle Genetics
Mapping
Opioid
Pain
Addiction
Liang, De-Yong
Zheng, Ming
Sun, Yuan
Sahbaie, Peyman
Low, Sarah
Peltz, Gary
Scherrer, Gregory
Flores, Cecilia
Clark, J.
The Netrin-1 receptor DCC is a regulator of maladaptive responses to chronic morphine administration
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.
author2 Anesthesiology Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, USA
author_facet Anesthesiology Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, USA
Liang, De-Yong
Zheng, Ming
Sun, Yuan
Sahbaie, Peyman
Low, Sarah
Peltz, Gary
Scherrer, Gregory
Flores, Cecilia
Clark, J.
author Liang, De-Yong
Zheng, Ming
Sun, Yuan
Sahbaie, Peyman
Low, Sarah
Peltz, Gary
Scherrer, Gregory
Flores, Cecilia
Clark, J.
author_sort Liang, De-Yong
title 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_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_sort netrin-1 receptor dcc is a regulator of maladaptive responses to chronic morphine administration
publisher BioMed Central
publishDate 2014
url Liang et al. BMC Genomics 2014, 15:345 http://www.biomedcentral.com/1471-2164/15/345
http://hdl.handle.net/10150/610027
http://arizona.openrepository.com/arizona/handle/10150/610027
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