iTRAQ-based proteomics analysis on insomnia rats treated with Mongolian medical warm acupuncture

Abstract

Objective: To explore the proteomic changes in the hypothalamus of rats treated with Mongolian medical warm acupuncture for insomnia therapy based proteomics. Method: We used an iTRAQ-based quantitative proteomic approach to identify proteins that potential molecular mechanisms involved in the treatment of insomnia by Mongolian medical warm acupuncture. Result: In total, 7477 proteins were identified, of which 36 proteins showed increased levels and 45 proteins showed decreased levels in insomnia model group (M) compared with healthy control group (C), 72 proteins showed increased levels and 44 proteins showed decreased levels from the warm acupuncture treated insomnia group (W) compared with healthy controls (C), 28 proteins showed increased levels and 17 proteins showed decreased levels from the warm acupuncture-treated insomnia group (W) compared with insomnia model group (M). Compared with healthy control groups, warm acupuncture-treated insomnia group showed obvious recovered. Bioinformatics analysis indicated that up-regulation of neuroactive ligand–receptor interaction and oxytocin signaling was the most significantly elevated regulate process of Mongolian medical warm acupuncture treatment for insomnia. Proteins showed that increased/decreased expression in the warm acupuncture-treated insomnia group included Prolargin (PRELP), NMDA receptor synaptonuclear-signaling and neuronal migration factor (NSMF), Transmembrane protein 41B (TMEM41B) and Microtubule-associated protein 1B (MAP1B) to adjust insomnia. Conclusion: A combination of findings in the present study suggest that warm acupuncture treatment is efficacious in improving sleep by regulating the protein expression process in an experimental rat model and may be of potential benefit in treating insomnia patients with the added advantage with no adverse effects.

Exploration of Ziziphi Spinosae Semen in Treating Insomnia Based on Network Pharmacology Strategy

“…KEGG pathway enrichment analysis can help us further figure out the potential pathways of ZSS against insomnia; after all core genes are entered and after applying p value significance selection criteria, 44 genes from all clusters are systematically selected and 19 representative pathways are selected ( p < 0.01 p < 0.01), as shown in Figure 5(a) , and these pathways are divided into 7 categories by signaling pathway functional clustering analysis, of which neuroactive ligand-receptor interaction (KEGG:04080), AGE-RAGE signaling pathway in diabetic complications (KEGG:04933), dopaminergic synapse (KEGG:04728), cAMP signaling pathway (KEGG:04024), synaptic vesicle cycle (KEGG:04721), serotonergic synapse (KEGG:04726), and cholinergic synapse (KEGG: 04725) each represent a class of biological pathways ( Figure 5(b) ). Some of these pathways have been shown to be highly connected with insomnia, such as key protein pathways that upregulate neuroactive ligand-receptor interaction signaling that can significantly improve insomnia [ 35 ], and some pharmacological treatments for psychiatric disorders also use selective blockade of presynaptic dopamine receptors in the frontal cortex, enhancing dopaminergic transmission, which is consistent with the results of our analysis of modulation of the dopaminergic synapse signaling pathway [ 36 ]. All details of the KEGG pathway enrichment analysis are described in Supplementary Table S6 .…”

“…KEGG pathway analysis effectively helps us to associate genomes with cellular, species, and ecosystem functions. According to the results of our analysis, neuroactive ligand-receptor interaction, cAMP signaling pathway, and one of the key pathways to treat insomnia in ZSS, in the pathway, multiple targets such as ADRA1A, ADRA1B, and ADRA1D can be simultaneously regulated by components such as (S)-cointeraction, sanjoinenine, and zizyphusine, and upregulation of neuroactive ligand-receptor interaction has also been an active process for the treatment of insomnia [ 35 ]. Besides identifying the specific pathways involved, cluster analysis of these pathways is also unique to our study, such as the cAMP signaling pathway, renin secretion, and dopaminergic synapse; these three pathways function similarly or are more closely linked during ZSS treatment of insomnia.…”

Tandem mass tag-based proteomics analysis of type 2 diabetes mellitus with non-alcoholic fatty liver disease in mice treated with acupuncture

“…Isobaric tags for relative and absolute quantitation (iTRAQ) is an isobaric labelling method. It has often been used in acupuncture studies to identify biomarkers and to elucidate potential mechanisms for the treatment of diseases [21][22][23]. However, quantitative proteomics is seldom to study of the mechanism of acupuncture treatment in T2DM with NAFLD.…”

Effects of Alcohol Extracts From Ganoderma resinaceum on Sleep in Mice Using Combined Transcriptome and Metabolome Analysis

“…Conjoint analysis of transcriptome and metabolome revealed that the most remarkably enriched pathway for differential genes enrichment is the neuroactive ligandreceptor interaction pathway, which is enriched to 19 genes and five metabolites. Bioinformatics analysis showed that upregulation of neuroactive ligand-receptor interactions improved sleep (28). The most noticeably enriched pathway for differential metabolites enrichment is the GABAergic synapse pathway, which is upregulated and enriched to four metabolites and two genes.…”