| Literature DB >> 31507421 |
Jian Gao1, Qiming Wang1, Yuwei Huang1, Kailin Tang1, Xue Yang2, Zhiwei Cao1.
Abstract
Insomnia is a common and widespread sleeping disorder caused by various risk factors. Though beneficial, conventional treatments of insomnia have significant limitations. As an alternative treatment, Chinese herbal formula Suanzaoren prescription (SZRP), composed of Suanzaoren [seeds of Ziziphus jujuba var. spinosa (Bunge) Hu ex H.F.Chow] and four additional herbs, has been reported with significant anti-insomnia effects. Yet the anti-insomnia mechanism of the herb formulae remains unknown. In this study, we attempted to extrapolate the holistic anti-insomnia mechanism of SZRP through herbal targeting and network pharmacology. The results indicated that the ingredients of Suanzaoren can target multi-neurotransmitter receptors at synapse interface, which was reported to be associated with sedative and hypnotic effects, while the four additional herbs can hit multiple pathways downstream of membrane neurotransmitters. Furthermore, the four additional herbs showed highly cooperative targeting patterns in the paralleled and cross-talked pathways related to inflammatory regulation and endocrine system, which may contribute to the additional relief of insomnia caused by inflammation, anxiety, or endocrine disorder. The interesting complementary mechanism we found among the herbal groups of SZRP may provide an example to study Chinese herbal formula and offers clues to future design of anti-insomnia strategy.Entities:
Keywords: bioinformatics; insomnia; network pharmacology; suanzaoren prescription; systematic analysis
Year: 2019 PMID: 31507421 PMCID: PMC6713715 DOI: 10.3389/fphar.2019.00925
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.810
Figure 1The validated information of five herbs in SZRP, including botanical documentation (voucher specimen deposited in herbarium), location (the collection location of voucher specimen), and used part (used part of medicinal species).
Number of ingredients and known targets for each herb in SZRP.
| Species name | TCM name | Ingredients | Targets |
|---|---|---|---|
|
| Suanzaoren | 35 | 80 |
|
| Zhimu | 82 | 228 |
|
| Fuling | 58 | 184 |
|
| Chuanxiong | 292 | 296 |
|
| Zhigancao | 272 | 201 |
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|
|
Figure 2The target distribution of five herbs. (A) Unique and overlapping target of five herbs. (B) The number of targets for different herbs.
Top five pathways enriched by targets of each herb in SZRP.
| Species name | Herbal group | Pathway name | KEGG ID | Ratio (%) | −Log( |
|---|---|---|---|---|---|
|
|
| Serotonergic synapse | hsa04726 | 12.5 | 11.09 |
| Dopaminergic synapse | hsa04728 | 10 | 7.7 | ||
| Amphetamine addiction | hsa05031 | 7.5 | 6.82 | ||
| Adrenergic signaling in cardiomyocytes | hsa04261 | 8.75 | 6.09 | ||
| Cocaine addiction | hsa05030 | 6.25 | 6.08 | ||
|
|
| Fluid shear stress and atherosclerosis | hsa05418 | 8.81 | 16.73 |
| AGE-RAGE signaling pathway | hsa04933 | 6.17 | 11.88 | ||
| Influenza A | hsa05164 | 7.49 | 11.67 | ||
| Ovarian steroidogenesis | hsa04913 | 4.85 | 11.65 | ||
| Adipocytokine signaling pathway | hsa04920 | 5.29 | 11.36 | ||
|
|
| Hepatitis B | hsa05161 | 13.66 | 25.55 |
| Influenza A | hsa05164 | 13.11 | 22.1 | ||
| AGE-RAGE signaling pathway | hsa04933 | 9.84 | 18.85 | ||
| Chagas disease (American trypanosomiasis) | hsa05142 | 9.84 | 18.6 | ||
| Hepatitis C | hsa05160 | 10.38 | 17.93 | ||
|
|
| AGE-RAGE signaling pathway | hsa04933 | 9.18 | 27.63 |
| Hepatitis B | hsa05161 | 9.86 | 25.51 | ||
| Fluid shear stress and atherosclerosis | hsa05418 | 8.84 | 21.77 | ||
| Chagas disease (American trypanosomiasis) | hsa05142 | 7.14 | 18.79 | ||
| Prolactin signaling pathway | hsa04917 | 6.12 | 18.05 | ||
|
|
| AGE-RAGE signaling pathway | hsa04933 | 14 | 33.98 |
| Fluid shear stress and atherosclerosis | hsa05418 | 15 | 32.19 | ||
| Th17 cell differentiation | hsa04659 | 11.5 | 24.88 | ||
| IL-17 signaling pathway | hsa04657 | 11 | 24.81 | ||
| Hepatitis B | hsa05161 | 11.5 | 21.73 |
Figure 3Bubble graph for significantly enriched pathway terms from KEGG by Metascape. Each bubble represents one KEGG pathway term. The size of the bubble correlates with the relative ratio of targets hitting each pathway over the total targets, with larger bubbles indicating the more enriched terms. The LogP shows the statistical significance of p-values, with larger and higher numbers indicating the more significant ones. And only those functional terms were retained with both −Log(p-value) > 5 and enrichment ratio > 5%. The detailed statistical data are shown in .
Figure 4The targeting subnetwork showing multi-neurotransmitter regulation at both pre-synapse and post-synapse for SZRP. Target names are shown in rectangles, and their full gene names can be found in . The gray dots illustrate neurotransmitter/hormone. The colored flags above each target show the targeting pattern from four herbal groups of SZRP, where the Emperor’s (Jun) targets are labeled in red. The solid arrows in the figure mean directed actions, and dashed arrows represent intermediate genes abbreviated for better illustration.
Figure 5The pathway of inflammatory and endocrine regulation effect in SZRP. Target names are shown in rectangles, and their full gene names can be found in . All labels are same as .