Literature DB >> 21598037

Inhibition of morphine-induced cAMP overshoot: a cell-based assay model in a high-throughput format.

Menghang Xia1, Vicky Guo, Ruili Huang, Sampada A Shahane, Christopher P Austin, Marshall Nirenberg, Shail K Sharma.   

Abstract

Opiates are not only potent analgesics but also drugs of abuse mainly because they produce euphoria. Chronic use of opiates results in the development of tolerance and dependence. Dr Marshall Nirenberg's group at the National Institutes of Health (NIH) was the first to use a cellular model system of Neuroblastoma × Glioma hybrid cells (NG108-15) to study morphine addiction. They showed that opiates affect adenylyl cyclase (AC) by two opposing mechanisms mediated by the opiate receptor. Although the cellular mechanisms that cause addiction are not yet completely understood, the most observed correlative biochemical adaptation is the upregulation of AC. This model also provides the opportunity to look for compounds which could dissociate the acute effect of opiates from the delayed response, upregulation of AC, and thus lead to the discovery of non-addictive drugs. To identify small molecule compounds that can inhibit morphine-induced cAMP overshoot, we have validated and optimized a cell-based assay in a high throughput format that measures cellular cAMP production after morphine withdrawal. The assay performed well in the 1536-well plate format. The LOPAC library of 1,280 compounds was screened in this assay on a quantitative high-throughput screening (qHTS) platform. A group of compounds that can inhibit morphine-induced cAMP overshoot were identified. The most potent compounds are eight naloxone-related compounds, including levallorphan tartrate, naloxonazine dihydrochloride, naloxone hydrochloride, naltrexone hydrochloride, and naltriben methanesulfonate. The qHTS approach we used in this study will be useful in identifying novel inhibitors of morphine induced addiction from a larger scale screening.

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Year:  2011        PMID: 21598037      PMCID: PMC3146558          DOI: 10.1007/s10571-011-9689-y

Source DB:  PubMed          Journal:  Cell Mol Neurobiol        ISSN: 0272-4340            Impact factor:   5.046


  27 in total

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