Integration of Gut Microbiota, Serum Metabolomic, and Network Pharmacology to Reveal the Anti Insomnia Mechanism of Mongolian Medicine Sugemule-4 Decoction on Insomnia Model Rats

Objective: To explored the potential molecular mechanism of Sugemule-4 decoction (MMS-4D) in treating insomnia. Methods: DL -4-chlorophenylalanine (PCPA) + chronic unpredictable mild stress stimulation (CUMS) was used to induce an insomnia model in rats. After the model was successfully established, MMS-4D was intervened at low, medium, and high doses for 7 days. The open-field test (OFT) was used to preliminarily evaluate the efficacy. The potential mechanism of MMS-4D in treating insomnia was investigated using gut microbiota, serum metabolomics, and network pharmacology (NP). Experimental validation of the main components of the key pathways was carried out using ELISA and Western blot. Results: The weights of the insomnia-model rats were significantly raised ( p ≤ 0.05), the total exercise distance in the OFT increased ( p ≤ 0.05), the rest time shortened, and the number of standing times increased ( p ≤ 0.05), after treatment with MMS-4D. Moreover, there was a substantial recovery in the 5-HT, DA, GABA, and Glu levels in the hypothalamus tissue and the 5-HT and GABA levels in the colon tissue of rats. The expression of DAT and DRD1 proteins in the hippocampus of insomnia rats reduced after drug treatment. MMS-4D may treat insomnia by regulating different crucial pathways including 5-HT -, DA -, GABA -, and Glu-mediated neuroactive light receiver interaction, cAMP signaling pathway, serotonergic, glutamatergic, dopaminergic, and GABAergic synapses. Conclusion: This study revealed that MMS-4D can improve the general state and behavioral changes of insomnia model rats. Its mechanism may be related to the reversal of abnormal pathways mediated by 5-HT, DA, GABA, and Glu, such as Serotonergic synapse, Dopaminergic synapse, Glutamatergic synapse, and GABAergic synapse. Keywords: Mongolian medicine sugemule-4 decoction, insomnia, metabolomics, gut microbiota, network pharmacology, molecular mechanism