| Literature DB >> 36059969 |
Lijuan Wang1, Helin Sun1, Meina Yang2,3, Yulin Xu4, Linlin Hou5, Haomiao Yu2, Xueyin Wang6, Zhongwen Zhang2, Jinxiang Han4.
Abstract
Background: Cordyceps is a precious Chinese herbal medicine with rich bio-active ingredients and is used for regulating arrhythmia alongside routine treatments. However, the efficacy and potential mechanisms of Cordyceps on patients with arrhythmia remain unclear.Entities:
Keywords: arrhythmia; cordyceps; meta-analysis; network pharmacology; traditional Chinese medicine
Year: 2022 PMID: 36059969 PMCID: PMC9437265 DOI: 10.3389/fphar.2022.948173
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.988
FIGURE 1Flow chart investigating Cordyceps in the treatment of arrhythmia.
Meta-analysis of arrhythmia patients’ treatment with Cordyceps.
| Category |
| Participants, n (cases/controls) | Heterogeneity | RR (95%CI) | Z-test |
|---|---|---|---|---|---|
| Ph I2 (%) | |||||
| Effective rate | |||||
| Bradyarrhythmia | 5 | 236/225 | 0.18 37 | 1.24 (1.15–1.35) | z = 5.42; |
| Ventricular arrhythmia | 5 | 259/257 | 0.08 51 | 1.27 (1.17–1.39) | z = 5.51; |
| Atrial arrhythmia | 4 | 145/145 | 0.36 7 | 1.40 (1.20–1.63) | z = 4.24; |
| Multiple types of arrhythmias | 4 | 182/176 | <0.0001 88 | 1.34 (1.19–1.51) | z = 4.75; |
| Incidence of disease | |||||
| Ventricular premature beat | 1 | 40/41 | NA NA | 0.34 (0.10–1.17) | z = 1.71; |
| Ventricular tachycardia | 1 | 40/41 | NA NA | 1.02 (0.22–4.78) | z = 0.03; |
| Ventricular flutter | 1 | 40/41 | NA NA | 0.51 (0.05–5.43) | z = 0.56; |
| Ventricular fibrillation | 1 | 40/41 | NA NA | 0.13 (0.02–0.98) | z = 1.98; |
P <0.05 shows a significant association. CI, confidence interval; NA, not available; RR, relative risk; Ph, p-values.
Meta-analysis of arrhythmia patients’ treatment with Cordyceps.
| Category | n | Participants, n (cases/controls) | Heterogeneity | SMD (95%CI) | Z-test |
|---|---|---|---|---|---|
| Ph I2 (%) | |||||
| Average heart rate | |||||
| Bradyarrhythmia | 2 | 142/130 | 0.92 0 | 1.10 (0.85–1.36) | z = 8.44; |
| Tachyarrhythmia | 2 | 110/108 | <0.00001 97 | −1.14 (−2.83 to 0.56) | z = 1.32; |
| Minimal heart rate | |||||
| Bradyarrhythmia | 2 | 142/130 | <0.00001 97 | 0.99 (−0.49–2.46) | z = 1.31; |
| Inflammation index | |||||
| Hs-CRP | 1 | 66/66 | NA NA | 2.86 (2.37–3.35) | z = 11.46; |
| IL6 | 1 | 66/66 | NA NA | 2.29 (1.84–2.73) | z = 10.15; |
| TNF | 1 | 66/66 | NA NA | 2.13 (1.70–2.56) | z = 9.72; |
P <0.05 shows a significant association. CI, confidence interval; NA, not available; SMD, standardized mean difference; Ph, p-values.
FIGURE 2Venn diagram. (A) Purple stands for 159 targets of Cordyceps from TCMSP, blue stands for 526 targets of tachyarrhythmia, 40 in the central overlapping section are intersecting Cordyceps and bradyarrhythmia targets. (B) Purple stands for 159 targets of Cordyceps from TCMSP, blue stands for 647 targets of tachyarrhythmia, 34 in the central overlapping section are intersecting Cordyceps and tachyarrhythmia targets.
FIGURE 3Protein–protein interaction network. (A) The pink nodes represent the targets of bradyarrhythmia; the PPI network structure of bradyarrhythmia has 40 nodes and 321 edges. (B) The blue nodes represent the targets of tachyarrhythmia; the PPI network structure of tachyarrhythmia has 33 nodes and 207 edges. The sizes of the nodes of the two images are illustrated from large to small in descending order of degree values.
FIGURE 4KEGG pathway enrichment analysis and GO functional enrichment analysis of Cordyceps in treating bradyarrhythmia. (A) GO functional analysis. The top 10 items of each part are shown. (B) KEGG pathway enrichment analysis. The sizes of the bubbles are illustrated from large to small in descending order of the number of potential targets involved in the pathway.
FIGURE 5KEGG pathway enrichment analysis and GO functional enrichment analysis of Cordyceps in treating tachyarrhythmia. (A) GO functional analysis. The top 10 items of each part are shown. (B) KEGG pathway enrichment analysis. The sizes of the bubbles are illustrated from large to small in descending order of the number of potential targets involved in the pathway.
FIGURE 6Molecular docking diagram. (A) Ten conformations of molecular docking simulation. Diagrams (3D) indicate that the molecular model of the compound is in the binding pocket of the protein. The compound is shown as a stick model with orange coloring. The amino acid residues surrounding are represented by surface style (A,C,E,G,I,K,M,O,Q,S). Diagrams (2D) show the interactions between the compound and surrounding residues (B,D,F,H,J,L,N,P,R,T). (B) The 3D column diagram shows the affinity of 10 conformations. X-axis: bioactive component, Y-axis: target names, Z-axis: docking affinity (absolute value of the binding energy). Taking the caffeine-IL6 docking, for example, the small molecule ligand caffeine potentially fits into the interface pocket formed by the interaction of amino acid residues in protein (Figure 6A). As shown in Figure 6 (B), a hydrogen bond was formed with caffeine SER52 near the active site of IL6. The other essential residues (ASP55, TUR51, GLY101, ALA100, GLN183, ARG182, ARG179, TYR34, LEU178 and ARG30) through van der Waal’s forces, carbon hydrogen bond, pi-donor hydrogen bond, pi–pi T-shaped, alkyl, and pi–alkyl. These forms of hydrogen bonds and interactions contribute to the stability of the binding of small molecules to the active sites of proteins.
FIGURE 7Mechanisms underlying the action of Cordyceps, a traditional Chinese medicine in cardiac function improvement. The red nodes represent the hub genes, the yellow nodes represent common genes, and the other nodes are the genes of the pathway.