Published online Nov 15, 2023. doi: 10.4239/wjd.v14.i11.1659
Peer-review started: June 20, 2023
First decision: July 7, 2023
Revised: July 12, 2023
Accepted: October 8, 2023
Article in press: October 8, 2023
Published online: November 15, 2023
Processing time: 146 Days and 22.7 Hours
Jiawei Jiaotai Pill is commonly used in clinical practice to reduce apoptosis, increase insulin secretion, and improve blood glucose tolerance. However, its mechanism of action in the treatment of diabetic cardiomyopathy (DCM) remains unclear, hindering research efforts aimed at developing drugs specifically for the treatment of DCM.
To explore the pharmacodynamic basis and molecular mechanism of Jiawei Jiaotai Pill in DCM treatment.
We explored various databases and software, including the Traditional Chinese Medicine Systems Pharmacology Database, Uniport, PubChem, GenCards, String, and Cytoscape, to identify the active components and targets of Jiawei Jiaotai Pill, and the disease targets in DCM. Protein-protein interaction network, gene ontology, and Kyoto Encyclopedia of Genes and Genomes analyses were used to determine the mechanism of action of Jiawei Jiaotai Pill in treating DCM. Molecular docking of key active components and core targets was verified using AutoDock software.
Total 42 active ingredients and 142 potential targets of Jiawei Jiaotai Pill were identified. There were 100 common targets between the DCM and Jiawei Jiaotai Pills. Through this screening process, TNF, IL6, TP53, EGFR, INS, and other important targets were identified. These targets are mainly involved in the positive regulation of the mitogen-activated protein kinase (MAPK) MAPK cascade, response to xenobiotic stimuli, response to hypoxia, positive regulation of gene expression, positive regulation of cell proliferation, negative regulation of the apoptotic process, and other biological processes. It was mainly enriched in the AGE-RAGE signaling pathway in diabetic complications, DCM, PI3K-Akt, interleukin-17, and MAPK signaling pathways. Molecular docking results showed that Jiawei Jiaotai Pill's active ingredients had good docking activity with DCM's core target.
The active components of Jiawei Jiaotai Pill may play a role in the treatment of DCM by reducing oxidative stress, cardiomyocyte apoptosis and fibrosis, and maintaining metabolic homeostasis.
Core Tip:Jiawei Jiaotai Pill is composed of Rhizoma Coptidis, Cinnamon, Radix Astragali, and Puerariae Lobatae Radix. It is mainly used to treat disharmony between the heart and kidneys, insomnia, sore mouth, and the tongue. It is often used to improve apoptosis, increase insulin secretion, and improve blood sugar tolerance. However, there are no reports on the mechanism of Jiawei Jiaotai Pills in the treatment of diabetic cardiomyopathy. We used the network pharmacology method, starting from the drug target, focused on analyzing the biological processes and conducting enrichment analysis of the important targets, and used molecular docking technology to verify the results.
- Citation: Wang YJ, Wang YL, Jiang XF, Li JE. Molecular targets and mechanisms of Jiawei Jiaotai Pill on diabetic cardiomyopathy based on network pharmacology. World J Diabetes 2023; 14(11): 1659-1671
- URL: https://www.wjgnet.com/1948-9358/full/v14/i11/1659.htm
- DOI: https://dx.doi.org/10.4239/wjd.v14.i11.1659
Diabetic cardiomyopathy (DCM) occurs in patients with diabetes. They can be distinguished from hypertensive heart disease, atherosclerotic heart disease of the coronary arteries, and other heart diseases. Its main clinical symptoms include congestive heart failure and angina. In severe cases, this can lead to reduced ventricular compliance, reduced cardiac function, and congestive heart failure[1]. The number of individuals with diabetes worldwide is predicted to reach 439 million by 2030[2]. The incidence of DCM is increasing annually and is becoming a leading cause of death in patients with diabetes[3]. Therefore, prevention and treatment of DCM is important.
According to Traditional Chinese Medicine (TCM), the fundamental pathogenesis of DCM is based on the concept of “deficiency.” Specifically, it attributes the onset of the condition to deficiencies in qi (vital energy) and yin (nourishing essence). The core pathogenesis in this context is characterized by “heat,” where phlegm and blood stasis play crucial roles. The influencing factor, referred to as “stasis,” is associated with various manifestation such as cough, asthma, phlegm, difficulty sleeping at night, reduced appetite, nausea, constipation, and yellow greasy fur[4]. Jiawei Jiaotai Pill is a modified version of the traditional Jiaotai pill. It is composed of Rhizoma Coptidis (RC), Cinnamon (CM), Radix Astragali (RA), and Puerariae Lobatae Radix (PLR). It is primarily used to treat heart and kidney disorders, insomnia, and mouth and tongue sores. It is commonly used for treating insomnia, diabetes, depression, and palpitations[5,6]. Recently, many studies have found that Jiawei Jiaotai Pill can reduce improve cell apoptosis, increase insulin secretion, improve blood glucose tolerance, and has a good therapeutic effect on DCM[7,8]. As the research on the treatment of DCM with Jiawei Jiaotai Pill progresses, there is a need to further clarify the pharmacology and mechanism of action of the drug. There are many effective components of the Jiawei Jiaotai Pill. They may act via various targets and pathways. Network pharmacology is a new method of studying the mechanisms of drug action. It is extensively used in the study of various traditional Chinese medicinal compounds. The concept of the target pathway provides a new way to study the complex mechanisms of TCM[9]. Therefore, this study aimed to use the techniques and methods of network pharmacology to comprehensively and systematically analyze the main chemical components of Jiawei Jiaotai Pill and its mechanism of action in the therapy of DCM to provide a foundation for further study of its pharmacological mechanism.
Jiawei Jiaotai Pill was analyzed using the TCM Systems Pharmacology Database and Analysis Platform (TCMSP) for retrieving chemical components. The screening criteria included drug-like (DL) value ≥ 0.18 and oral bioavailability ≥ 30% for the pharmacokinetic parameters of the compounds[10]. We screened the main effective active ingredients in the Jiawei Jiaotai Pill and their corresponding target information. The target information was converted into a standard target name using the Uniport platform, and the active ingredient was used as a keyword to search Pub Chem to determine the structural information of Jiawei Jiaotai Pill components.
The GeneCards database was searched using the search term "diabetic cardiomyopathy" to identify DCM targets. The targets corresponding to the active ingredients of Jiawei Jiaotai Pill were compared with the related targets of DCM to obtain the related targets of Jiawei Jiaotai Pill in the treatment of DCM.
The related targets of Jiawei Jiaotai Pill for treating DCM were uploaded to the STRING database. The organism type was set to “Homo sapiens,” targets with interaction > 0.7 were selected and those without interaction were removed, and a protein-protein interaction (PPI) plot was generated. In this network diagram, nodes represent the intersection of target proteins, and the thickness and number of edges represent close interactions between targets[11]. The topological properties of the network were analyzed using the “Network Analyzer” function in the Cytoscape software 3.9.1, and the “Degree,” “Closeness,” and “Betweenness” were determined to screen the main target information. The degree represents the number of connections between a node and other nodes in the network graph. The higher the number of nodes, the closer the connection to other protein genes in the network graph. The degree is often used to evaluate the importance of a node. Closeness represents the degree of closeness between a node and other nodes in the network diagram. The closer a node is to the other nodes, the closer the connection between the two, and the greater the closeness value. Betweenness is the proportion of the shortest path through the node in all the shortest paths in the network. The shorter the paths through the node, the closer the connection with other nodes in the network and the higher the betweenness[12].
To further understand the relationship between the active components of Jiawei Jiaotai Pill and related targets, Cytoscape software 3.9.1 was used to establish the drug-active component-target network. The network analysis was performed by the analysis network plug-in, and the “Degree,” “Closeness” and “Betweenness” values of each drug were obtained. The topological parameters were compared to screen the important active drugs[11].
The Database for Annotation, Visualization, and Integrated Discovery online analysis tool was used to perform Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses on the related targets for treating DCM in the active components of Jiawei Jiaotai pill. GO analysis included molecular function, cellular components, and biological processes. The above pathway analysis was screened using P < 0.05 as the standard[11].
The core active components of Jiawei Jiaotai Pill were molecularly docked with core functional targets. The mol2 format file of the active ingredient was obtained from the TCMSP database, and the key target structure file was obtained from the Protein Data Bank database. AutoDock Vina software was used for molecular docking and PyMOL software was used to visualize the results. In molecular docking, the drug acts as a ligand and the protein transcribed and translated by the core target acts as a receptor. When the binding energies of the ligand and receptor decrease, the binding ability improves. The lowest binding energy is generally considered to be < 5 kcal/mol, indicating better docking activity[12].
The active ingredients of Jiawei Jiaotai Pill were screened using a preliminary database and literature search, and 48 RC, 100 CM, 87 RA, and 18 PLR were obtained. A total of 42 chemical constituents with oral bioavailability ≥ 30% and DL ≥ 0.18 were screened out. Note that certain components in CM such as oleic and linoleic acids have a low DL value but have high content in the drug or significant pharmacological effects. In such cases the DL should be ≥ 0.10. After relevant literature searches, 34 candidate active ingredients were identified after deleting non-target compounds, including 11 RC, four CM, 17 RA, and four PLR, as presented in Table 1. After the Uniport platform conversion of the standard targets, 142 potential active ingredient targets of Jiawei Jiaotai Pill were obtained.
ID | Compounds | Wolecular weight | OB (%) | DL | TCM |
MOL001454 | Berberine | 336.39 | 36.86 | 0.78 | RC |
MOL002894 | Berberrubine | 322.36 | 35.74 | 0.73 | RC |
MOL002897 | Epiberberine | 336.39 | 43.09 | 0.78 | RC |
MOL002903 | (R)-Canadine | 339.42 | 55.37 | 0.77 | RC |
MOL002904 | Berlambine | 351.38 | 36.68 | 0.82 | RC |
MOL002907 | Corchoroside A_qt | 404.55 | 104.95 | 0.78 | RC |
MOL000622 | Magnograndiolide | 266.37 | 63.71 | 0.19 | RC |
MOL000785 | Palmatine | 352.44 | 64.6 | 0.65 | RC |
MOL000098 | Quercetin | 302.25 | 46.43 | 0.28 | RC/RA |
MOL001458 | Coptisine | 320.34 | 30.67 | 0.86 | RC |
MOL002668 | Worenine | 334.37 | 45.83 | 0.87 | RC |
MOL000131 | EIC | 280.50 | 41.9 | 0.14 | CM |
MOL002003 | (-)-Caryophyllene oxide | 220.39 | 32.67 | 0.13 | CM |
MOL000057 | DIBP | 278.38 | 49.63 | 0.13 | CM |
MOL000675 | Oleic acid | 282.52 | 33.13 | 0.14 | CM |
MOL000211 | Mairin | 456.78 | 55.38 | 0.78 | RA |
MOL000239 | Jaranol | 314.31 | 50.87 | 0.29 | RA |
MOL000296 | hederagenin | 414.79 | 36.91 | 0.75 | RA |
MOL000033 | (3S,8S,9S,10R,13R,14S,17R)-10,13-dimethyl-17-[(2R,5S)-5-propan-2-yloctan-2-yl]-2,3,4,7,8,9,11,12,14,15,16,17-dodecahydro-1H-cyclopenta[a]phenanthren-3-ol | 428.82 | 36.23 | 0.78 | RA |
MOL000354 | isorhamnetin | 316.28 | 49.6 | 0.31 | RA |
MOL000371 | 3,9-di-O-methylnissolin | 314.36 | 53.74 | 0.48 | RA |
MOL000378 | 7-O-methylisomucronulatol | 316.38 | 74.69 | 0.30 | RA |
MOL000379 | 9,10-dimethoxypterocarpan-3-O-β-D-glucoside | 462.49 | 36.74 | 0.92 | RA |
MOL000380 | (6aR,11aR)-9,10-dimethoxy-6a,11a-dihydro-6H-benzofurano[3,2-c]chromen-3-ol | 300.33 | 64.26 | 0.42 | RA |
MOL000387 | Bifendate | 418.38 | 31.1 | 0.67 | RA |
MOL000392 | formononetin | 268.28 | 69.67 | 0.21 | RA |
MOL000417 | Calycosin | 284.28 | 47.75 | 0.24 | RA |
MOL000422 | kaempferol | 286.25 | 41.88 | 0.24 | RA |
MOL000433 | FA | 441.45 | 68.96 | 0.71 | RA |
MOL000439 | isomucronulatol-7,2'-di-O-glucosiole | 626.67 | 49.28 | 0.62 | RA |
MOL000442 | 1,7-Dihydroxy-3,9-dimethoxy pterocarpene | 314.31 | 39.05 | 0.48 | RA |
MOL000392 | formononetin | 268.28 | 69.67 | 0.21 | PLR |
MOL000358 | beta-sitosterol | 414.79 | 36.91 | 0.75 | PLR |
MOL002959 | 3'-Methoxydaidzein | 284.28 | 48.57 | 0.24 | PLR |
MOL003629 | Daidzein-4,7-diglucoside | 578.57 | 47.27 | 0.67 | PLR |
Using GeneCards, 6031 DCM target genes were identified. Taking the intersection of the target genes of the active components in Jiawei Jiaotai Pill, 100 common targets were obtained, which are the potential targets of Jiawei Jiaotai Pill in the treatment of DCM- (Figure 1).
One hundred potential targets were imported into the STRING platform to construct the PPI network. The PPI network and associated data files were analyzed and imported into the Cytoscape software 3.9.1 for further analysis and display, as shown in Figure 2. There were only 87 target genes as nodes and 287 as edges in the network diagram. Combined with the topological parameter analysis, the average value of “Degree” of all targets is 6.92, and there were 33 targets that exceeded the average “Degree” value for the first time (Figure 3A). The average value of “Closeness” of all targets was 30.02, and 30 targets exceeded the average “Closeness” value in the second screening (Figure 3B). The average value of “Betweenness” of all targets was 146.39, and there were 18 targets that exceeded the average “Betweenness” value in the third screening (Figure 3C). The interaction of these core targets may be key to the effect of Jiawei Jiaotai Pill on DCM. The top five key target genes were tumor necrosis factor (TNF), interleukin-6 (IL-6), cellular tumor antigen p53 (TP53), epidermal growth factor receptor (EGFR), and insulin (INS).
To better illustrate the relationship between drugs, related compounds, and targets, TCM and its components and corresponding targets were used to construct a TCM compound target network map using Cytoscape, including 11 components of RC, four components of CM, 17 components of RA, and four components of PLR, corresponding to 100 targets (Figure 4). The Cytoscape network analysis revealed 139 nodes and 502 edges. The average “Degree” value of all nodes was 7.22, the average “Closeness” value of all targets was 53.58, and the average “Betweenness” value of all targets was 226.75. The degree, closeness, and betweenness of quercetin, formononetin, kaempferol, 7-O-methylisomucronulatol, and isorhamnetin were higher than the average of all node topological parameters, indicating that these five compounds were the main chemical components of Jiawei Jiaotai Pill in the treatment of DCM. Quercetin is also a common component of several TCMs (Table 2).
MOLID | Compound | Degree | Closeness | Betweenness |
MOL000098 | Quercetin | 108 | 88.08 | 9136.98 |
MOL000392 | Formononetin | 48 | 69.17 | 2365.63 |
MOL000422 | Kaempferol | 31 | 71.83 | 1333.03 |
MOL000378 | 7-O-methylisomucronulatol | 31 | 71.83 | 1309.63 |
MOL000354 | Isorhamnetin | 25 | 80 | 2758.62 |
The GO enrichment analysis revealed 324 biological processes. It mainly involved positive regulation of the mitogen-activated protein kinase (MAPK) cascade, response to xenobiotic stimuli, response to hypoxia, positive regulation of gene expression, positive regulation of cell proliferation, negative regulation of apoptotic processes, and other biological processes. There were 59 cell components, and analysis of the cell components suggested that they were involved in the caveola, plasma membrane, membrane raft, cell surface, and other tissue structures. The results showed that these mainly included protease binding, RNA polymerase II transcription factor activity, ligand-activated sequence-specific DNA binding, protein domain-specific binding, and other molecular functions (Figure 5).
A total of 131 pathways were identified through KEGG pathway enrichment analysis (P < 0.05), and a bar chart of the first 20 pathways is shown in Figure 6. These pathways were mainly enriched in the AGE-RAGE signaling pathway in diabetic complications, fluid shear stress, atherosclerosis signaling pathway, DCM signaling pathway, PI3K-Akt signaling pathway, cGMP-PKG signaling pathway, IL-17 signaling pathway, and TNF signaling pathway.
Molecular docking is an important tool in molecular simulations. The principle is to use spatial and energy matching between molecules to complete the recognition between two or more molecular structures. Taking the small chemical molecules and receptor proteins used in this study as examples, molecular docking can be used to predict their binding modes and estimate the strength of their binding ability, that is, the binding energy, also known as affinity. It is generally believed that the smaller the binding energy between the ligand and receptor, the more stable the molecular conformation of the ligand and receptor. From the PPI network diagram and TCM drug-core target network diagram, five core target proteins (TNF, IL-6, TP53, EGFR, and INS) and five core drugs (quercetin, formononetin, kaempferol, 7-O-methylisomucronulatol, and isorhamnetin) were selected for binding energy prediction. The molecular docking results are presented in Table 3. The results showed that TNF, IL-6, TP53, EGFR, and INS had good binding abilities to quercetin, formononetin, kaempferol, 7-O-methylisomucronulatol, and isorhamnetin. PyMOL software was used to visualize the partial docking results (Figure 7).
ID | Compounds | Minimum binding energy (kcal/mol) | ||||
TNF | IL-6 | TP53 | EGFR | INS | ||
MOL000098 | Quercetin | -7.61 | -6.88 | -7.43 | -6.14 | -7.72 |
MOL000392 | Formononetin | -6.56 | -6.75 | -6.12 | -7.11 | -6.21 |
MOL000422 | Kaempferol | -6.7 | -6.78 | -6.19 | -6.21 | -14.8 |
MOL000378 | 7-O-methylisomucronulatol | -6.95 | -6.68 | -6.42 | -5.98 | -5.75 |
MOL000354 | Isorhamnetin | -4.62 | -4.56 | -4.48 | -4.27 | -4.46 |
The Jiaotai pill is a TCM originally used by ancient practitioners to treat insomnia. Through ongoing research and development of secondary prescriptions in clinical practice, along with the application of the theory of treating different diseases with the same drugs and the use of yin and yang, the scope of prescription has expanded from insomnia and palpitations to include conditions such as depression and diabetes[5,6]. Jiawei Jiaotai Pill contains RA and PLR based on RC and CM. Astragalus polysaccharides found in RA partially improved myocardial glucose and lipid metabolism disorders in diabetic hamsters and have a protective effect on the myocardium[13]. Furthermore, PLR has good anti-inflammatory properties and maintains cardiovascular and cerebrovascular functions[14]. Although Jiawei Jiaotai pills are widely used in the treatment of diabetes and DCM in clinical practice, the pharmacological mechanism of Jiawei Jiaotai Pill remains unclear. Therefore, the application of the Jiawei Jiaotai Pill in treating DCM is clearer based on network pharmacology. The active ingredients and mechanism of action, and the systematic interpretation of the pathway at the molecular biology level provide a pharmacological basis for the clinical application of Jiawei Jiaotai Pill in treating DCM, thereby improving its curative effect.
After screening the active components of Jiawei Jiaotai Pill, the results showed that quercetin, formononetin, kaempferol, 7-O-methylisomucronulatol, and isorhamnetin had greater therapeutic effects, which may be the key active components in the treatment of DCM. In addition to oxidative stress, inflammation, myocardial cell death pathways, and neurohumoral mechanisms, the current understanding of the basic mechanisms of DCM in clinical research includes abnormalities in cardiac metabolism and physiological and pathophysiological signals such as abnormal changes in myocardial cells, myocardial insulin resistance, mitochondrial dysfunction, and abnormal oxidative stress[15]. Quercetin, a flavonoid, exerts antioxidant effects by inhibiting oxidative damage to low-density lipoproteins, chelating metal ions, and directly scavenging reactive oxygen free radicals. It may also exert anti-inflammatory effects by regulating the production of inflammatory factors and inhibiting the nuclear factor-κB (NF-κB) and MAPK pathways. It also exerts hypoglycemic and lipid-lowering effects[16,17]. Formononetin is a polyphenolic compound that regulates lipid metabolism by activating the AMPK and PPARγ pathways[18,19]. Oza and Kulkarni[20] also found that 20 and 40 mg/kg formononetin could effectively improve blood lipid and glucose levels in diabetic rats by increasing the expression of human silent information regulator 1 in the pancreatic tissue. Kaempferol is a flavonol compound with anti-apoptotic, anti-inflammatory, and antioxidant properties[21]. Studies have shown that kaempferol significantly inhibits the expression of inflammatory cytokines and the production of reactive oxygen species induced by high glucose, resulting in reduced fibrosis and apoptosis in vitro. Concurrently, it mediates DCM protection by inhibiting NF-κB nuclear translocation and activating nuclear factor erythroid 2 p45-related factor-2[22]. Isorhamnetin is a natural small-molecule flavonoid found in many plants. It has many biological functions, including anti-inflammatory, antiviral, anti-myocardial, hypoxia-ischemia, and lipid-lowering properties[23]. Isorhamnetin reduces myocardial injury by regulating the expression of autophagy and apoptosis pathway proteins in H9c2 cardiomyocytes. It also reduces the production of inflammatory mediators and decreases oxidative stress in diabetic rats by regulating NF-κB signaling activity[24,25].
The PPI and core target network diagrams revealed that the treatment of DCM with Jiawei Jiaotai Pill mainly involves genes such as TNF, IL6, TP53, EGFR, and INS. TNF-α is a major cytokine associated with obesity. Wu et al[26] reported that TNF-α can promote the regulation of glucose homeostasis by upregulating plasma TNF-α levels. TNF-α may play an active role in reducing INS resistance in diabetic mice through a TNF-α receptor 1-independent manner. IL-6 is a pro-inflammatory cytokine that is frequently involved in diabetes-related inflammatory responses and is currently considered an important biomarkers for the risk of developing diabetes[27]. IL-6 induces the expression of SOCS-3, a potential inhibitor of INS signal transduction, by controlling differentiation, migration, proliferation, and apoptosis, and impairs the phosphorylation of INS receptors and insulin receptor substrate-1, leading to insulin resistance[28]. TP53 mainly acts as a tumor suppressor, controlling numerous signaling pathways and preventing malignant transformation of cells[29]. Chen et al[30] suggested that pathological activation of the TP53 signaling pathway can induce myocardial fibrosis, apoptosis, heart failure, and premature death. The EGFR is a receptor tyrosine kinase that is widely expressed in various tissues, including the heart. Studies have shown that EGFR tyrosine kinase (EGFRtk) activity and endoplasmic reticulum (ER) stress increase in type 2 diabetic mice, leading to vascular dysfunction. Inhibition of EGFRtk and ER stress reduces apoptosis and inflammation and exerts cardioprotective effects. Therefore, targeting EGFRtk and ER stress may prevent myocardial infarction in patients with type 2 diabetes[31]. Metabolic disorders caused by INS resistance or a lack of INS signaling are closely related to the pathogenesis of DCM. An imbalance in INS expression can impair glucose oxidation, resulting in the diversion of glucose to other metabolic pathways with deleterious effects on myocardial cell function[32].
Target GO analysis results showed that Jiawei Jiaotai Pill is mainly involved in the positive regulation of the MAPK cascade, response to xenobiotic stimulus, response to hypoxia, positive regulation of gene expression, positive regulation of cell proliferation, negative regulation of apoptotic processes, and other biological processes through the caveola, plasma membrane, membrane raft, cell surface, and other organizational structures.
Among the 20 KEGG enrichment pathways of related targets, the main pathways enriched were the AGE-RAGE signaling pathway in diabetic complications, the DCM signaling pathway, the PI3K-Akt signaling pathway, the IL-17 signaling pathway, and the MAPK signaling pathway. Targeting the AGE-RAGE pathway is a potential therapeutic strategy to improve DCM[33]. Studies have shown that the accumulation of AGEs and activation of RAGE can induce continuous oxidative stress in vascular tissues, which may reduce the likelihood of diabetic macrovascular complications by inhibiting the AGE-RAGE pathway and subsequent oxidative stress[34]. The PI3K/AKT signaling pathway is essential for metabolic homeostasis. The PI3K family is involved in the regulation of various physiological processes, including cell growth, survival, differentiation, autophagy, chemotaxis, and metabolism[35]. AKT is downstream of PI3K in the INS signaling pathway and promotes a variety of cellular processes by targeting a large number of regulatory proteins that control glucose and lipid metabolism. Many studies have indicated that activation of the PI3K/Akt pathway may be the key mechanism for protection against DCM[36,37]. IL-17 is a pro-inflammatory cytokine synthesized by T helper cells, macrophages, dendritic cells, and natural killer cells. It promotes the expression of inducible nitric oxide synthase and induces cardiomyocyte apoptosis. Simultaneously, it activates matrix metalloproteinases, resulting in increased synthesis of the extracellular matrix in cardiomyocytes, leading to myocardial fibrosis and playing an important role in DCM. IL-17 Levels increase with the deterioration of cardiac function[38,39]. The MAPK pathway is activated by p38MAPK under high glucose conditions, and dysfunction occurs. Qian et al[40] found that inhibiting the expression of p38MAPK can rescue the MAPK pathway, thereby significantly ameliorating myocardial injury and dysfunction in diabetic mice. In summary, this study applied network pharmacology methods and molecular docking techniques to preliminarily explore the complex mechanism of multi-component, multi-target, and multi-pathways in the treatment of DCM through the active components in Jiawei Jiaotai Pill.
This study still has certain limitations. This study is only a preliminary theoretical determination of the molecular mechanism of the treatment of DCM with Jiawei Jiaotai Pill and is a predictive study. Future specific experiments are needed to further validate the results of this study.
The active components in Jiawei Jiaotai Pill include quercetin, formononetin, kaempferol, 7-O-methylisomucronulatol, and isorhamnetin, which act synergistically on target proteins such as TNF, IL-6, TP53, EGFR, and INS. It regulates the AGE-RAGE signaling pathway in diabetic complications, DCM pathway, PI3K-Akt signaling pathway, IL-17 signaling pathway, and MAPK signaling pathway to reduce the body's oxidative stress level, reduce myocardial cell apoptosis and fibrosis, and maintain metabolic homeostasis. The active components of Jiawei Jiaotai Pill mainly play a role in inhibiting inflammatory response, antioxidant response, anti-apoptosis, improving INS resistance, and stimulating INS secretion for the treatment of DCM.
Diabetic cardiomyopathy (DCM) is a type of cardiomyopathy independent of hypertension, coronary artery disease, and vascular complications. Traditional Chinese medicine (TCM) has unique advantages for treating this disease. In the current study, Jiawei Jiaotai Pill was widely used for the treatment of diabetes and its complications. Jiawei Jiaotai Pill has increased the use of Radix Astragali and Puerariae Lobatae Radix. It was also found that these two drugs had protective effects on the heart.
To improve the efficacy in DCM patients and further clarify the pharmacological basis of the Jiawei Jiaotai Pill, it is necessary to study the molecular mechanism of the Jiawei Jiaotai Pill in the treatment of DCM.
Based on the network pharmacology method and molecular docking technology, this study analyzed the effective active ingredients and important gene targets in Jiawei Jiaotai Pill and provided a reference for clinical treatment.
The targets of the four TCMs in Jiawei Jiaotai Pill for DCM were identified using relevant databases. The core targets and compounds were identified using a protein-protein interaction network and a drug-active ingredient-target network. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analyses were used to determine the related pathways of biological processes, and molecular docking was performed for verification.
The main components of Jiawei Jiaotai Pill used in the treatment of DCM are quercetin, formononetin, kaempferol, 7-O-methylisomucronulatol, and isorhamnetin. These components can act synergistically on disease-related target proteins such as tumor necrosis factor, interleukin-6 (IL-6), cellular tumor antigen p53, epidermal growth factor receptor, and insulin, and play therapeutic roles through the AGE-RAGE signaling pathway, PI3K/Akt, IL-17, and mitogen-activated protein kinase pathways. However, as predicted, the specific mechanism of Jiawei Jiaotai Pill requires further verification.
The active ingredients of Jiawei Jiaotai Pill have a complex mechanism involving multiple components, targets, and pathways in the treatment of DCM, which may protect myocardial function by reducing the level of oxidative stress, reducing cardiomyocyte apoptosis and fibrosis, and maintaining metabolic homeostasis.
Based on network pharmacology and molecular docking technology, the related mechanism of Jiawei Jiaotai Pill in the treatment of DCM was speculated, providing a reference for future experimental verification.
Provenance and peer review: Unsolicited article; Externally peer reviewed.
Peer-review model: Single blind
Specialty type: Endocrinology and metabolism
Country/Territory of origin: China
Peer-review report’s scientific quality classification
Grade A (Excellent): 0
Grade B (Very good): B, B, B B
Grade C (Good): C
Grade D (Fair): 0
Grade E (Poor): 0
P-Reviewer: Powers AC, United States; Rufo DD, Germany; Dąbrowski M, Poland; Wu QN, China; Dabla PK, India S-Editor: Fan JR L-Editor: A P-Editor: Chen YX
1. | Zhao X, Liu S, Wang X, Chen Y, Pang P, Yang Q, Lin J, Deng S, Wu S, Fan G, Wang B. Diabetic cardiomyopathy: Clinical phenotype and practice. Front Endocrinol (Lausanne). 2022;13:1032268. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2] [Cited by in F6Publishing: 23] [Article Influence: 7.7] [Reference Citation Analysis (1)] |
2. | Dillmann WH. Diabetic Cardiomyopathy. Circ Res. 2019;124:1160-1162. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 164] [Cited by in F6Publishing: 395] [Article Influence: 79.0] [Reference Citation Analysis (0)] |
3. | McGuire AR, Gill JR. Diabetic Cardiomyopathy: A Forensic Perspective. Acad Forensic Pathol. 2016;6:191-197. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.2] [Reference Citation Analysis (0)] |
4. | Peng M, Xia T, Zhong Y, Zhao M, Yue Y, Liang L, Zhong R, Zhang H, Li C, Cao X, Yang M, Wang Y, Shu Z. Integrative pharmacology reveals the mechanisms of Erzhi Pill, a traditional Chinese formulation, against diabetic cardiomyopathy. J Ethnopharmacol. 2022;296:115474. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 11] [Reference Citation Analysis (0)] |
5. | Guan R, Pan L, Yu Z, Liu Z, Shi Q, Li J. Clinical study of "Jiaotai Pill" combined with head massage with 5-tone rhythm on insomnia patients of heart-kidney disharmony type. Medicine (Baltimore). 2023;102:e32645. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 1] [Reference Citation Analysis (0)] |
6. | Zeng C, Liu X, Hu L, Feng Y, Xia N, Zeng H, Luo L, Ye R, Yuan Z. Jiao-tai-wan for insomnia symptoms caused by the disharmony of the heart and kidney: a study protocol for a randomized, double-blind, placebo-controlled trial. Trials. 2020;21:408. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis (0)] |
7. | Chen G, Lu F, Xu L, Dong H, Yi P, Wang F, Huang Z, Zou X. The anti-diabetic effects and pharmacokinetic profiles of berberine in mice treated with Jiao-Tai-Wan and its compatibility. Phytomedicine. 2013;20:780-786. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 37] [Cited by in F6Publishing: 37] [Article Influence: 3.1] [Reference Citation Analysis (0)] |
8. | Chang X, Lu K, Wang L, Lv M, Fu W. Astraglaus polysaccharide protects diabetic cardiomyopathy by activating NRG1/ErbB pathway. Biosci Trends. 2018;12:149-156. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 2.7] [Reference Citation Analysis (0)] |
9. | Ge Q, Chen L, Yuan Y, Liu L, Feng F, Lv P, Ma S, Chen K, Yao Q. Network Pharmacology-Based Dissection of the Anti-diabetic Mechanism of Lobelia chinensis. Front Pharmacol. 2020;11:347. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 21] [Cited by in F6Publishing: 28] [Article Influence: 5.6] [Reference Citation Analysis (0)] |
10. | Chen X, Yang Z, Du L, Guan Y, Li Y, Liu C. Study on the active ingredients and mechanism of action of Jiaotai Pill in the treatment of type 2 diabetes based on network pharmacology: A review. Medicine (Baltimore). 2023;102:e33317. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 2] [Reference Citation Analysis (0)] |
11. | Zhu N, Huang B, Zhu L, Wang Y. Potential Mechanisms of Triptolide against Diabetic Cardiomyopathy Based on Network Pharmacology Analysis and Molecular Docking. J Diabetes Res. 2021;2021:9944589. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
12. | Fu S, Zhou Y, Hu C, Xu Z, Hou J. Network pharmacology and molecular docking technology-based predictive study of the active ingredients and potential targets of rhubarb for the treatment of diabetic nephropathy. BMC Complement Med Ther. 2022;22:210. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 23] [Cited by in F6Publishing: 17] [Article Influence: 5.7] [Reference Citation Analysis (0)] |
13. | Chen W, Xia YP, Chen WJ, Yu MH, Li YM, Ye HY. Improvement of myocardial glycolipid metabolic disorder in diabetic hamster with Astragalus polysaccharides treatment. Mol Biol Rep. 2012;39:7609-7615. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 22] [Cited by in F6Publishing: 22] [Article Influence: 1.7] [Reference Citation Analysis (0)] |
14. | Wong KH, Razmovski-Naumovski V, Li KM, Li GQ, Chan K. Comparing morphological, chemical and anti-diabetic characteristics of Puerariae Lobatae Radix and Puerariae Thomsonii Radix. J Ethnopharmacol. 2015;164:53-63. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 39] [Cited by in F6Publishing: 29] [Article Influence: 2.9] [Reference Citation Analysis (0)] |
15. | Jia G, DeMarco VG, Sowers JR. Insulin resistance and hyperinsulinaemia in diabetic cardiomyopathy. Nat Rev Endocrinol. 2016;12:144-153. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 604] [Cited by in F6Publishing: 610] [Article Influence: 67.8] [Reference Citation Analysis (0)] |
16. | Gorbenko NI, Borikov OY, Kiprych TV, Ivanova OV, Taran KV, Litvinova TS. Quercetin improves myocardial redox status in rats with type 2 diabetes. Endocr Regul. 2021;55:142-152. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 3] [Cited by in F6Publishing: 6] [Article Influence: 1.5] [Reference Citation Analysis (0)] |
17. | Yan L, Vaghari-Tabari M, Malakoti F, Moein S, Qujeq D, Yousefi B, Asemi Z. Quercetin: an effective polyphenol in alleviating diabetes and diabetic complications. Crit Rev Food Sci Nutr. 2022;1-24. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 22] [Cited by in F6Publishing: 34] [Article Influence: 11.3] [Reference Citation Analysis (0)] |
18. | Gautam J, Khedgikar V, Kushwaha P, Choudhary D, Nagar GK, Dev K, Dixit P, Singh D, Maurya R, Trivedi R. Formononetin, an isoflavone, activates AMP-activated protein kinase/β-catenin signalling to inhibit adipogenesis and rescues C57BL/6 mice from high-fat diet-induced obesity and bone loss. Br J Nutr. 2017;117:645-661. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 37] [Cited by in F6Publishing: 50] [Article Influence: 6.3] [Reference Citation Analysis (0)] |
19. | Nie T, Zhao S, Mao L, Yang Y, Sun W, Lin X, Liu S, Li K, Sun Y, Li P, Zhou Z, Lin S, Hui X, Xu A, Ma CW, Xu Y, Wang C, Dunbar PR, Wu D. The natural compound, formononetin, extracted from Astragalus membranaceus increases adipocyte thermogenesis by modulating PPARγ activity. Br J Pharmacol. 2018;175:1439-1450. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 40] [Cited by in F6Publishing: 44] [Article Influence: 6.3] [Reference Citation Analysis (0)] |
20. | Oza MJ, Kulkarni YA. Formononetin Treatment in Type 2 Diabetic Rats Reduces Insulin Resistance and Hyperglycemia. Front Pharmacol. 2018;9:739. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 88] [Cited by in F6Publishing: 75] [Article Influence: 10.7] [Reference Citation Analysis (0)] |
21. | Zhang L, Guo Z, Wang Y, Geng J, Han S. The protective effect of kaempferol on heart via the regulation of Nrf2, NF-κβ, and PI3K/Akt/GSK-3β signaling pathways in isoproterenol-induced heart failure in diabetic rats. Drug Dev Res. 2019;80:294-309. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 46] [Cited by in F6Publishing: 70] [Article Influence: 11.7] [Reference Citation Analysis (0)] |
22. | Chen X, Qian J, Wang L, Li J, Zhao Y, Han J, Khan Z, Chen X, Wang J, Liang G. Kaempferol attenuates hyperglycemia-induced cardiac injuries by inhibiting inflammatory responses and oxidative stress. Endocrine. 2018;60:83-94. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 55] [Cited by in F6Publishing: 69] [Article Influence: 9.9] [Reference Citation Analysis (0)] |
23. | Li WQ, Li J, Liu WX, Wu LJ, Qin JY, Lin ZW, Liu XY, Luo SY, Wu QH, Xie XF, Peng C. Isorhamnetin: A Novel Natural Product Beneficial for Cardiovascular Disease. Curr Pharm Des. 2022;28:2569-2582. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 9] [Reference Citation Analysis (0)] |
24. | Zhao TT, Yang TL, Gong L, Wu P. Isorhamnetin protects against hypoxia/reoxygenation-induced injure by attenuating apoptosis and oxidative stress in H9c2 cardiomyocytes. Gene. 2018;666:92-99. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 19] [Cited by in F6Publishing: 25] [Article Influence: 3.6] [Reference Citation Analysis (0)] |
25. | Qiu S, Sun G, Zhang Y, Li X, Wang R. Involvement of the NF-κB signaling pathway in the renoprotective effects of isorhamnetin in a type 2 diabetic rat model. Biomed Rep. 2016;4:628-634. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 24] [Cited by in F6Publishing: 35] [Article Influence: 3.9] [Reference Citation Analysis (0)] |
26. | Wu S, Dong K, Wang J, Bi Y. Tumor necrosis factor alpha improves glucose homeostasis in diabetic mice independent with tumor necrosis factor receptor 1 and tumor necrosis factor receptor 2. Endocr J. 2018;65:601-609. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 0.7] [Reference Citation Analysis (0)] |
27. | Siewko K, Maciulewski R, Zielinska-Maciulewska A, Poplawska-Kita A, Szumowski P, Wawrusiewicz-Kurylonek N, Lipinska D, Milewski R, Gorska M, Kretowski A, Szelachowska M. Interleukin-6 and Interleukin-15 as Possible Biomarkers of the Risk of Autoimmune Diabetes Development. Biomed Res Int. 2019;2019:4734063. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 7] [Cited by in F6Publishing: 12] [Article Influence: 2.0] [Reference Citation Analysis (0)] |
28. | Rehman K, Akash MSH, Liaqat A, Kamal S, Qadir MI, Rasul A. Role of Interleukin-6 in Development of Insulin Resistance and Type 2 Diabetes Mellitus. Crit Rev Eukaryot Gene Expr. 2017;27:229-236. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 107] [Cited by in F6Publishing: 193] [Article Influence: 27.6] [Reference Citation Analysis (0)] |
29. | Punja HK, Nanjappa DP, Babu N, Kalladka K, Shanti Priya Dias B, Chakraborty G, Rao SM, Chakraborty A. TP53 codon 72 polymorphism and type 2 diabetes: a case-control study in South Indian population. Mol Biol Rep. 2021;48:5093-5097. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 0.3] [Reference Citation Analysis (0)] |
30. | Chen SN, Lombardi R, Karmouch J, Tsai JY, Czernuszewicz G, Taylor MRG, Mestroni L, Coarfa C, Gurha P, Marian AJ. DNA Damage Response/TP53 Pathway Is Activated and Contributes to the Pathogenesis of Dilated Cardiomyopathy Associated With LMNA (Lamin A/C) Mutations. Circ Res. 2019;124:856-873. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 61] [Cited by in F6Publishing: 87] [Article Influence: 14.5] [Reference Citation Analysis (0)] |
31. | Mali V, Haddox S, Hornersmith C, Matrougui K, Belmadani S. Essential role for EGFR tyrosine kinase and ER stress in myocardial infarction in type 2 diabetes. Pflugers Arch. 2018;470:471-480. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 9] [Cited by in F6Publishing: 16] [Article Influence: 2.0] [Reference Citation Analysis (0)] |
32. | Zamora M, Villena JA. Contribution of Impaired Insulin Signaling to the Pathogenesis of Diabetic Cardiomyopathy. Int J Mol Sci. 2019;20. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 30] [Cited by in F6Publishing: 46] [Article Influence: 7.7] [Reference Citation Analysis (0)] |
33. | Lee TW, Kao YH, Chen YJ, Chao TF, Lee TI. Therapeutic potential of vitamin D in AGE/RAGE-related cardiovascular diseases. Cell Mol Life Sci. 2019;76:4103-4115. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 30] [Cited by in F6Publishing: 22] [Article Influence: 3.7] [Reference Citation Analysis (0)] |
34. | Wang Z, Zhang J, Chen L, Li J, Zhang H, Guo X. Glycine Suppresses AGE/RAGE Signaling Pathway and Subsequent Oxidative Stress by Restoring Glo1 Function in the Aorta of Diabetic Rats and in HUVECs. Oxid Med Cell Longev. 2019;2019:4628962. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 21] [Cited by in F6Publishing: 28] [Article Influence: 4.7] [Reference Citation Analysis (0)] |
35. | Savova MS, Mihaylova LV, Tews D, Wabitsch M, Georgiev MI. Targeting PI3K/AKT signaling pathway in obesity. Biomed Pharmacother. 2023;159:114244. [PubMed] [DOI] [Cited in This Article: ] [Cited by in F6Publishing: 64] [Reference Citation Analysis (0)] |
36. | He H, Qiao X, Wu S. Carbamylated erythropoietin attenuates cardiomyopathy via PI3K/Akt activation in rats with diabetic cardiomyopathy. Exp Ther Med. 2013;6:567-573. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 12] [Cited by in F6Publishing: 12] [Article Influence: 1.0] [Reference Citation Analysis (0)] |
37. | Zhang M, Wang X, Liu M, Liu D, Pan J, Tian J, Jin T, Xu Y, An F. Inhibition of PHLPP1 ameliorates cardiac dysfunction via activation of the PI3K/Akt/mTOR signalling pathway in diabetic cardiomyopathy. J Cell Mol Med. 2020;24:4612-4623. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 13] [Cited by in F6Publishing: 29] [Article Influence: 5.8] [Reference Citation Analysis (0)] |
38. | Kurdi M, Zgheib C, Booz GW. Recent Developments on the Crosstalk Between STAT3 and Inflammation in Heart Function and Disease. Front Immunol. 2018;9:3029. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 46] [Cited by in F6Publishing: 46] [Article Influence: 6.6] [Reference Citation Analysis (0)] |
39. | Segiet OA, Piecuch A, Mielanczyk L, Michalski M, Nowalany-Kozielska E. Role of interleukins in heart failure with reduced ejection fraction. Anatol J Cardiol. 2019;22:287-299. [PubMed] [DOI] [Cited in This Article: ] [Cited by in Crossref: 11] [Cited by in F6Publishing: 22] [Article Influence: 4.4] [Reference Citation Analysis (0)] |
40. | Qian J, Zhuang F, Chen Y, Fan X, Wang J, Wang Z, Wang Y, Xu M, Samorodov AV, Pavlov VN, Liang G. Myeloid differential protein-2 inhibition improves diabetic cardiomyopathy via p38MAPK inhibition and AMPK pathway activation. Biochim Biophys Acta Mol Basis Dis. 2022;1868:166369. [PubMed] [DOI] [Cited in This Article: ] [Reference Citation Analysis (0)] |