Metabolomic analysis of animal models of depression

Lu Tian1,2, Juncai Pu1,3, Yiyun Liu1,3, Siwen Gui4,1, Xiaogang Zhong1,2, Xuemian Song4,1, Shaohua Xu1,3, Hanpin Zhang1,3, Haiyang Wang4,1, Wei Zhou1,2, Peng Xie1,2,3
1NHC Key Laboratory of Diagnosis and Treatment On Brain Functional Diseases, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
2School of Public Health and Management, Chongqing Medical University, Chongqing, China
3Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
4College of Biomedical Engineering, Chongqing Medical University, Chongqing, China

Tóm tắt

Our understanding of the molecular mechanisms of depression remains largely unclear. Previous studies have shown that the prefrontal cortex (PFC) is among most important brain regions that exhibits metabolic changes in depression. A comprehensive analysis based on candidate metabolites in the PFC of animal models of depression will provide valuable information for understanding the pathogenic mechanism underlying depression. Candidate metabolites that are potentially involved in the metabolic changes of the PFC in animal models of depression were retrieved from the Metabolite Network of Depression Database. The significantly altered metabolic pathways were revealed by canonical pathway analysis, and the relationships among altered pathways were explored by pathway crosstalk analysis. Additionally, drug-associated pathways were investigated using drug-associated metabolite set enrichment analysis. The interrelationships among metabolites, proteins, and other molecules were analyzed by molecular network analysis. Among 88 candidate metabolites, 87 altered canonical pathways were identified, and the top five ranked pathways were tRNA charging, the endocannabinoid neuronal synapse pathway, (S)-reticuline biosynthesis II, catecholamine biosynthesis, and GABA receptor signaling. Pathway crosstalk analysis revealed that these altered pathways were grouped into three interlinked modules involved in amino acid metabolism, nervous system signaling/neurotransmitters, and nucleotide metabolism. In the drug-associated metabolite set enrichment analysis, the main enriched drug pathways were opioid-related and antibiotic-related action pathways. Furthermore, the most significantly altered molecular network was involved in amino acid metabolism, molecular transport, and small molecule biochemistry. This study provides important clues for the metabolic characteristics of the PFC in depression.

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