title: Morphine-induced conditioned place preference in mice: metabolomic profiling of brain tissue to find "molecular switch" of drug abuse by gas chromatography/mass spectrometry.
abstract: Conditioned place preference (CPP) is a widely used model to explore the mechanism of context-dependent learning. In this work, we developed a GC-MS method to investigate the metabolites in mice brain which was used to study the mechanism of context-dependent learning associated with rewarding effect of morphine. Metabolites were extracted from brain tissues and derivatized followed by analysis by gas chromatography/mass spectrometry (GC-MS). In total, 69 peaks were identified as known compounds. By a Wilcoxon ran sum test with p value ≤0.05, 21 metabolites were selected and considered as the potential biomarkers of morphine in mice brain. Using principal component analysis (PCA) and receiver-operator characteristic (ROC) curves, a model was constructed with a combination of these 21 metabolic markers. Multivariate statistics of the model yielded separation between the two groups with an area under the curve value of 0.947. Some metabolites were further discussed in detail about their pathway. Results showed that our technique can be successfully applied to profile for biomarkers and in understanding molecular mechanisms of drug abuse.
authors: Department of Chemistry & Institutes of Biomedical Sciences, Fudan University, Shanghai, China.
authors: Jiaoran
authors: J
authors: Meng
authors: Xiaodong
authors: X
authors: Zhang
authors: Hao
authors: H
authors: Wu
authors: Jing
authors: J
authors: Bu
authors: Chenyi
authors: C
authors: Shi
authors: Chunhui
authors: C
authors: Deng
authors: Yu
authors: Y
authors: Mao
mesh_terms: D000818:Animals; D019540:Area Under Curve; D001921:Brain / Q000378:metabolism*; D003213:Conditioning, Psychological / Q000187:drug effects; D008401:Gas Chromatography-Mass Spectrometry; D008297:Male; D055442:Metabolome; D051379:Mice; D008813:Mice, Inbred ICR; D009020:Morphine / Q000378:metabolism*; D025341:Principal Component Analysis; D012372:ROC Curve; D019966:Substance-Related Disorders / Q000175:diagnosis
chemical_list: D009020:Morphine