Basic Study Open Access
Copyright ©The Author(s) 2023. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Diabetes. Nov 15, 2023; 14(11): 1659-1671
Published online Nov 15, 2023. doi: 10.4239/wjd.v14.i11.1659
Molecular targets and mechanisms of Jiawei Jiaotai Pill on diabetic cardiomyopathy based on network pharmacology
Yu-Juan Wang, Department of Otolaryngology, Shaanxi Provincial People’s Hospital, Xi’an 710068, Shaaxi Province, China
Yan-Li Wang, Department of Pediatrics, Affiliated Hospital of Traditional Chinese Medicine, Xinjiang Medical University, Urumqi 830000, Xinjiang Uygur Autonomous Region, China
Xiao-Fan Jiang, Juan-E Li, Department of Chinese Medicine, Shaanxi Provincial People’s Hospital, Xi’an 710068, Shaaxi Province, China
ORCID number: Yu-Juan Wang (0009-0000-6175-0014); Yan-Li Wang (0009-0007-3762-4721); Xiao-Fan Jiang (0009-0002-7582-1965); Juan-E Li (0009-0004-3322-8463).
Author contributions: Wang YJ and Wang YL contributed to the literature search; Jiang XF performed the data acquisition and statistical analysis; Li JE contributed to the manuscript preparation and editing; All authors have approved the final manual.
Supported by Natural Science Basic Research Plan in the Shaanxi Province of China, No. 2021JM-549, The Plan Project of Shaanxi Provincial Administration of Traditional Chinese Medicine, No. 2021-ZZ-JC011; and The Second Youth Science and Technology Talents Project of Shaanxi Provincial Administration of Traditional Chinese Medicine, No. 2023-ZQNY-017.
Institutional review board statement: The data used in this study are all public data from public databases, and do not involve human or animals data, so there is no need for ethical review.
Conflict-of-interest statement: The authors declare no conflict of interest.
Data sharing statement: The data used for this study can be obtained from the corresponding authors at lizhuan-1980@126.com.
ARRIVE guidelines statement: The authors have read the ARRIVE guidelines, and the manuscript was prepared and revised according to the ARRIVE guidelines.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Juan-E Li, MD, Associate Chief Physician, Department of Chinese Medicine, Shaanxi Provincial People’s Hospital, No. 256 Youyi West Road, Beilin District, Xi’an 710068, Shaaxi Province, China. lizhuan-1980@126.com
Received: June 20, 2023
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

Abstract
BACKGROUND

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.

AIM

To explore the pharmacodynamic basis and molecular mechanism of Jiawei Jiaotai Pill in DCM treatment.

METHODS

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.

RESULTS

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.

CONCLUSION

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.

Key Words: Jiawei Jiaotai pill, Diabetic cardiomyopathy, Mechanism of action, Enrichment analysis, Network pharmacology, Molecular docking

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.



INTRODUCTION

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.

MATERIALS AND METHODS
Jiawei Jiaotai Pill active ingredients and targets

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.

Identifying targets of Jiawei Jiaotai Pill for DCM treatment

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.

Construction of protein-protein interaction network

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].

Construction of drug-active ingredient-target network

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].

Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses

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].

Active ingredient-target molecular docking

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].

RESULTS
The main active components and targets of Jiawei Jiaotai pill

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.

Table 1 Thirty-four active components with therapeutic effect on diabetic cardiomyopathy in Jiawei Jiaotai pill.
ID
Compounds
Wolecular weight
OB (%)
DL
TCM
MOL001454Berberine336.3936.860.78RC
MOL002894Berberrubine322.3635.740.73RC
MOL002897Epiberberine336.3943.090.78RC
MOL002903(R)-Canadine339.4255.370.77RC
MOL002904Berlambine351.3836.680.82RC
MOL002907Corchoroside A_qt404.55104.950.78RC
MOL000622Magnograndiolide266.3763.710.19RC
MOL000785Palmatine352.4464.60.65RC
MOL000098Quercetin302.2546.430.28RC/RA
MOL001458Coptisine320.3430.670.86RC
MOL002668Worenine334.3745.830.87RC
MOL000131EIC280.5041.90.14CM
MOL002003(-)-Caryophyllene oxide220.3932.670.13CM
MOL000057DIBP278.3849.630.13CM
MOL000675Oleic acid282.5233.130.14CM
MOL000211Mairin456.7855.380.78RA
MOL000239Jaranol314.3150.870.29RA
MOL000296hederagenin414.7936.910.75RA
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-ol428.8236.230.78RA
MOL000354isorhamnetin316.2849.60.31RA
MOL0003713,9-di-O-methylnissolin314.3653.740.48RA
MOL0003787-O-methylisomucronulatol316.3874.690.30RA
MOL0003799,10-dimethoxypterocarpan-3-O-β-D-glucoside462.4936.740.92RA
MOL000380(6aR,11aR)-9,10-dimethoxy-6a,11a-dihydro-6H-benzofurano[3,2-c]chromen-3-ol300.3364.260.42RA
MOL000387Bifendate418.3831.10.67RA
MOL000392formononetin268.2869.670.21RA
MOL000417Calycosin284.2847.750.24RA
MOL000422kaempferol286.2541.880.24RA
MOL000433FA441.4568.960.71RA
MOL000439isomucronulatol-7,2'-di-O-glucosiole626.6749.280.62RA
MOL0004421,7-Dihydroxy-3,9-dimethoxy pterocarpene314.3139.050.48RA
MOL000392formononetin268.2869.670.21PLR
MOL000358beta-sitosterol414.7936.910.75PLR
MOL002959

3'-Methoxydaidzein

284.2848.570.24PLR
MOL003629Daidzein-4,7-diglucoside578.5747.270.67PLR
Potential targets of Jiawei Jiaotai Pill in the treatment of DCM

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).

Figure 1
Figure 1 Venn diagram of the common target of Jiawei Jiaotai pill and diabetic cardiomyopathy. Drug: Jiawei Jiaotai pill; Disease: Diabetic cardiomyopathy.
Construction and analysis of the PPI network

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).

Figure 2
Figure 2 Protein-protein interaction network diagram of Jiawei Jiaotai pill in the treatment of diabetic cardiomyopathy.
Figure 3
Figure 3 Topology calculation process diagram of key targets. A: In the initial screening, 33 targets were found to exceed the average degree of freedom of all other targets; B: In the second screening, 30 targets were found that exceeded the average closeness of all targets; C: In the third screening, 18 targets were found that exceeded the average betweenness of all targets.
Construction of drug-active ingredient-target network diagram

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).

Figure 4
Figure 4 “Chinese medicine-active ingredient-target” network diagram. Pink: Drug; Purple: Active ingredient; Green: Target protein; RC: Rhizoma Coptidis; CM: Cinnamon; RA: Radix Astragali; PLR: Puerariae Lobatae Radix; Drug: Jiawei Jiaotai pill.
Table 2 Information table of core active substances in Jiawei Jiaotai Pill.
MOLID
Compound
Degree
Closeness
Betweenness
MOL000098Quercetin10888.089136.98
MOL000392Formononetin4869.172365.63
MOL000422Kaempferol3171.831333.03
MOL0003787-O-methylisomucronulatol3171.831309.63
MOL000354Isorhamnetin25802758.62
GO biological function enrichment analysis

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).

Figure 5
Figure 5 GO pathway bar chart. MF: Molecular function; CC: Cellular component; BP: Biological process; NADP: Nicotinamide adenine dinucleotide phosphate; MAPK: Mitogen-activated protein kinases.
KEGG pathway analysis

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.

Figure 6
Figure 6 Kyoto Encyclopedia of Genes and Genomes enrichment analysis bar chart. HIF: Hypoxia-inducible factor; IL: Interleukin; EGFR: Epidermal growth factor receptor; TNF: Tumor necrosis factor; MAPK: Mitogen-activated protein kinases.
Molecular docking of active components and core targets

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).

Figure 7
Figure 7 Molecular docking 3D model of some key targets and active ingredients. A: Insulin-Quercetin; B: Interleukin-6-Quercetin; C: Epidermal growth factor receptor-Quercetin; D: Tumor necrosis factor-Quercetin; E: Tumor antigen p53 (TP53)-Quercetin; F: TP53-Isorhamnetin.
Table 3 Key targets and component docking results.
ID
Compounds
Minimum binding energy (kcal/mol)
TNF
IL-6
TP53
EGFR
INS
MOL000098Quercetin-7.61-6.88-7.43-6.14-7.72
MOL000392Formononetin-6.56-6.75-6.12-7.11-6.21
MOL000422Kaempferol-6.7-6.78-6.19-6.21-14.8
MOL0003787-O-methylisomucronulatol-6.95-6.68-6.42-5.98-5.75
MOL000354Isorhamnetin-4.62-4.56-4.48-4.27-4.46
DISCUSSION

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.

CONCLUSION

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.

ARTICLE HIGHLIGHTS
Research background

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.

Research motivation

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.

Research objectives

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.

Research methods

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.

Research results

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.

Research conclusions

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.

Research perspectives

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.

Footnotes

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

References
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: ]
2.  Dillmann WH. Diabetic Cardiomyopathy. Circ Res. 2019;124:1160-1162.  [PubMed]  [DOI]  [Cited in This Article: ]
3.  McGuire AR, Gill JR. Diabetic Cardiomyopathy: A Forensic Perspective. Acad Forensic Pathol. 2016;6:191-197.  [PubMed]  [DOI]  [Cited in This Article: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]
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: ]