Liang De-Yong, Zheng Ming, Sun Yuan, Sahbaie Peyman, Low Sarah A, Peltz Gary, Scherrer Grégory, Flores Cecilia, Clark J David
Anesthesiology Service, Veterans Affairs Palo Alto Health Care System, 3801 Miranda Avenue, Palo Alto, USA.
BMC Genomics. 2014 May 8;15(1):345. doi: 10.1186/1471-2164-15-345.
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.
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.
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.
阿片类药物是治疗中度至重度疼痛的基石,但长期使用会导致适应性不良反应,包括耐受性、依赖性和阿片类药物诱导的痛觉过敏(OIH)。这些反应限制了阿片类药物的效用以及我们控制慢性疼痛的能力。尽管经过数十年的研究,但我们仍没有克服这一问题的治疗方法或经过验证的策略。然而,基于小鼠单倍型的计算遗传图谱以及通过全基因组序列数据分析生成的单核苷酸多态性(SNP)数据库(全基因组HBCGM),为发现影响阿片类药物适应性不良反应的新基因提供了一种无假设方法。
全基因组HBCGM用于分析从23个近交系获得的吗啡诱导的耐受性、依赖性和痛觉过敏的表型数据。使用品系亚组分析遗传图谱结果的稳健性。此外,还检查了一起分析所有阿片类药物相关性状的结果。为了表征主要候选基因的功能作用,我们分析了转基因动物、行为不同的小鼠品系中的mRNA和蛋白质表达以及脊髓组织中的免疫组织化学。我们的图谱绘制程序确定,网蛋白-1受体基因(Dcc)内的等位基因模式与OIH最密切相关,并且它也与所分析的其他适应性不良阿片类药物性状的组合密切相关。Dcc基因杂合的成年小鼠在长期暴露于吗啡后发生OIH、产生耐受性或表现出依赖性的倾向明显较低。阿片类药物反应的差异并非由于脊髓组织中Dcc表达水平的基础差异或吗啡刺激差异所致,并且与成年动物脊髓或背根神经节中的伤害性神经化学或解剖学改变无关。
全基因组HBCGM是识别影响生物医学性状(如阿片类药物适应性不良反应)的基因的有力工具。我们证明,Dcc在慢性阿片类药物暴露后会影响耐受性、依赖性和OIH,尽管不是通过成年脊髓中表达的简单差异。