Insomnia is a common clinical disease that can seriously damage the normal lives of sufferers. Suan-Zao-Ren decoction has been used to treat insomnia for a long time. However, the underlying molecular mechanism of Suan-Zao-Ren decoction is still not clear. In this study, the nontargeted metabolomics based on high-resolution mass spectrometry and multiple statistical approaches were initially used to investigate the changes of potential serum and brain biomarkers and metabolic pathways in the insomnia model rat. Principal component analysis-discriminate analysis indicated that the Suan-Zao-Ren decoction treatment improved the metabolic phenotype insomnia. Moreover, the heatmap analysis identified the most important biomarkers involved in insomnia. According to the pathway analysis, phenylalanine metabolism, tryptophan metabolism, and so on were recognized as the most affected metabolic pathways associated with insomnia disease. These findings provided a comprehensive understanding of the regulative effects of Suan-Zao-Ren decoction on the host metabolic phenotype of the insomnia rats. Our work demonstrated that the metabolomics approach is a promising tool that could help us to conduct the exploration of the therapeutic effects and mechanism of traditional Chinese medicines.
Keywords: biomarkers; metabolic pathways; metabolomics; traditional Chinese medicine.
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