Literature DB >> 23912828

Metabolic profiling of urine and blood plasma in rat models of drug addiction on the basis of morphine, methamphetamine, and cocaine-induced conditioned place preference.

Kei Zaitsu1, Izuru Miyawaki, Kiyoko Bando, Hiroshi Horie, Noriaki Shima, Munehiro Katagi, Michiaki Tatsuno, Takeshi Bamba, Takako Sato, Akira Ishii, Hitoshi Tsuchihashi, Koichi Suzuki, Eiichiro Fukusaki.   

Abstract

The metabolic profiles of urine and blood plasma in drug-addicted rat models based on morphine (MOR), methamphetamine (MA), and cocaine (COC)-induced conditioned place preference (CPP) were investigated. Rewarding effects induced by each drug were assessed by use of the CPP model. A mass spectrometry (MS)-based metabolomics approach was applied to urine and plasma of MOR, MA, and COC-addicted rats. In total, 57 metabolites in plasma and 70 metabolites in urine were identified by gas chromatography-MS. The metabolomics approach revealed that amounts of some metabolites, including tricarboxylic acid cycle intermediates, significantly changed in the urine of MOR-addicted rats. This result indicated that disruption of energy metabolism is deeply relevant to MOR addiction. In addition, 3-hydroxybutyric acid, L-tryptophan, cystine, and n-propylamine levels were significantly changed in the plasma of MOR-addicted rats. Lactose, spermidine, and stearic acid levels were significantly changed in the urine of MA-addicted rats. Threonine, cystine, and spermidine levels were significantly increased in the plasma of COC-addicted rats. In conclusion, differences in the metabolic profiles were suggestive of different biological states of MOR, MA, and COC addiction; these may be attributed to the different actions of the drugs on the brain reward circuitry and the resulting adaptation. In addition, the results showed possibility of predict the extent of MOR addiction by metabolic profiling. This is the first study to apply metabolomics to CPP models of drug addiction, and we demonstrated that metabolomics can be a multilateral approach to investigating the mechanism of drug addiction.

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Year:  2013        PMID: 23912828     DOI: 10.1007/s00216-013-7234-1

Source DB:  PubMed          Journal:  Anal Bioanal Chem        ISSN: 1618-2642            Impact factor:   4.142


  21 in total

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Authors:  Marcus W Meinhardt; Daniel C Sévin; Manuela L Klee; Sandra Dieter; Uwe Sauer; Wolfgang H Sommer
Journal:  Neuropsychopharmacology       Date:  2015-03-13       Impact factor: 7.853

3.  Metabolomics and Data-Driven Bioinformatics Revealed Key Maternal Metabolites Related to Fetal Lethality via Di(2-ethylhexyl)phthalate Exposure in Pregnant Mice.

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4.  The Potential Role of PKA/CREB Signaling Pathway Concerned with Gastrodin Administration on Methamphetamine-Induced Conditioned Place Preference Rats and SH-SY5Y Cell Line.

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5.  Metabolomics analysis of serum in a rat heroin self-administration model undergoing reinforcement based on 1H-nuclear magnetic resonance spectra.

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6.  Untargeted Metabolomic Analysis of Rat Neuroblastoma Cells as a Model System to Study the Biochemical Effects of the Acute Administration of Methamphetamine.

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Review 7.  Metabolomics in Psychiatric Disorders: What We Learn from Animal Models.

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Journal:  Metabolites       Date:  2020-02-17

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Review 10.  Current Understanding of Methamphetamine-Associated Metabolic Changes Revealed by the Metabolomics Approach.

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Journal:  Metabolites       Date:  2019-09-20
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