Individual differences in most behavioral and pharmacological responses to abused drugs are dependent on both genetic and environmental factors. The genetic influences on the complex phenotypes related to drug abuse have been difficult to study using classical genetic analyses. Quantitative trait locus (QTL) mapping is a method that has been used successfully to examine genetic contributions to some of these traits by correlating allelic variation in polymorphic genetic markers of known chromosomal location with variation in drug-response phenotypes. We evaluated several behavioral responses to multiple doses of methamphetamine (METH) in C57BL/6J (B6), DBA/2J (D2), and 25 of their recombinant inbred (BXD RI) strains. Stereotyped chewing, horizontal home cage activity, and changes in body temperature after 0, 4, 8, or 16 mg/kg METH, as well as stereotyped climbing behavior after 16 mg/kg METH, were examined. Associations (p < 0.01) between METH sensitivity and allelic status at multiple microsatellite genetic markers were subsequently determined for each response. QTLs were provisionally identified for each phenotype, some unique to a particular behavior and others that appeared to influence multiple phenotypes. Candidate genes suggested by these analyses included several that mapped near genes relevant for the neurotransmitters acetylcholine and glutamate. The locations of QTLs provisionally identified by this analysis were compared with QTLs hypothesized in other studies to influence methamphetamine- and cocaine-related phenotypes. In several instances, QTLs appeared to overlap, which is consistent with idea that common neural substrates underlie some responses to psychostimulants.
Orphanin FQ or nociceptin (OFQ/N(1-17)) is a recently discovered peptide which, upon intracerebroventricular administration, reverses opioid-mediated analgesias. OFQ/N(1-17) terminals are located in the periaqueductal gray (PAG), a structure known to be involved in pain modulation, suggesting that the functional anti-opioid effects of OFQ/N(1-17) are mediated by PAG neurons. To test this, subsequent microinjections of morphine or kainic acid and OFQ/N(1-17) were made into the PAG of awake rats. Administration of OFQ/N(1-17) attenuated the tail flick inhibition produced by both morphine and kainic acid microinjection. OFQ/N(1-17) attenuation of antinociception produced by a neuroexcitant indicates that OFQ/N(1-17) reverses opioid antinociception by inhibiting PAG output neurons.
Protein kinase C (PKC) is involved in many neuroadaptive responses to ethanol in the nervous system. PKC activation results in translocation of the enzyme from one intracellular site to another. Compartmentalization of PKC isozymes is regulated by targeting proteins such as receptors for activated C kinase (RACKs). It is possible, therefore, that ethanol-induced changes in the function and compartmentalization of PKC isozymes could be due to changes in PKC targeting proteins. Here we study the response of the targeting protein RACK1 and its corresponding kinase betaIIPKC to ethanol, and propose a novel mechanism to explain how ethanol modulates signaling cascades. In cultured cells, ethanol induces movement of RACK1 to the nucleus without affecting the compartmentalization of betaIIPKC. Ethanol also inhibits betaIIPKC translocation in response to activation. These results suggest that ethanol inhibition of betaIIPKC translocation is due to miscompartmentalization of the targeting protein RACK1. Similar events occurred in mouse brain. In vivo exposure to ethanol caused RACK1 to localize to nuclei in specific brain regions, but did not affect the compartmentalization of betaIIPKC. Thus, some of the cellular and neuroadaptive responses to ethanol may be related to ethanol-induced movement of RACK1 to the nucleus, thereby preventing the translocation and corresponding function of betaIIPKC.
These studies provide evidence for the existence of genes affecting EtOH metabolism in multiple chromosomal regions. Future studies will be required to identify the chromosome 17 gene product. Use of other genetic populations, such as B6D2F2 crosses, will be required to determine which of the provisional loci represent true and which represent false-positive associations.
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