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Large-scale neurochemical metabolomics analysis identifies multiple compounds associated with methamphetamine exposure

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Abstract

Methamphetamine (MA) is an illegal stimulant drug of abuse with serious negative health consequences. The neurochemical effects of MA have been partially characterized, with a traditional focus on classical neurotransmitter systems. However, these directions have not yet led to novel drug treatments for MA abuse or toxicity. As an alternative approach, we describe here the first application of metabolomics to investigate the neurochemical consequences of MA exposure in the rodent brain. We examined single exposures at 3 mg/kg and repeated exposures at 3 mg/kg over 5 days in eight common inbred mouse strains. Brain tissue samples were assayed using high-throughput gas and liquid chromatography mass spectrometry, yielding quantitative data on >300 unique metabolites. Association testing and false discovery rate control yielded several metabolome-wide significant associations with acute MA exposure, including compounds such as lactate (p = 4.4 × 10−5, q = 0.013), tryptophan (p = 7.0 × 10−4, q = 0.035) and 2-hydroxyglutarate (p = 1.1 × 10−4, q = 0.022). Secondary analyses of MA-induced increase in locomotor activity showed associations with energy metabolites such as succinate (p = 3.8 × 10−7). Associations specific to repeated (5 day) MA exposure included phosphocholine (p = 4.0 × 10−4, q = 0.087) and ergothioneine (p = 3.0 × 10−4, q = 0.087). Our data appear to confirm and extend existing models of MA action in the brain, whereby an initial increase in energy metabolism, coupled with an increase in behavioral locomotion, gives way to disruption of mitochondria and phospholipid pathways and increased endogenous antioxidant response. Our study demonstrates the power of comprehensive MS-based metabolomics to identify drug-induced changes to brain metabolism and to develop neurochemical models of drug effects.

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Acknowledgments

We gratefully acknowledge the assistance of Danny Alexander at Metabolon, Inc, Research Triangle Park, North Carolina. Financial support: This work was supported by grants from the US National Institute on Drug Abuse to E. J. C. G. van den Oord (R21DA021411) and the US National Institute of Mental Health (K01MH093731) to D. E. Adkins.

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Authors and Affiliations

  1. Center for Biomarker Research and Personalized Medicine, School of Pharmacy, Medical College of Virginia Campus, Virginia Commonwealth University, McGuire Hall, 1112 East Clay Street, Richmond, VA, 23298-0533, USA

    Joseph L. McClay, Daniel E. Adkins, Shaunna L. Clark, Patrick M. Beardsley & Edwin J. C. G. van den Oord

  2. Department of Psychology, Virginia Commonwealth University, Richmond, VA, USA

    Sarah A. Vunck

  3. Department of Pharmacology and Toxicology, School of Medicine, Medical College of Virginia Campus, Virginia Commonwealth University, Richmond, VA, USA

    Angela M. Batman, Robert E. Vann & Patrick M. Beardsley

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  1. Joseph L. McClay
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Correspondence to Joseph L. McClay.

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McClay, J.L., Adkins, D.E., Vunck, S.A. et al. Large-scale neurochemical metabolomics analysis identifies multiple compounds associated with methamphetamine exposure. Metabolomics 9, 392–402 (2013). https://doi.org/10.1007/s11306-012-0456-y

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