*Corresponding Author:
Jing Wang
Hepatobilary Department, The Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University, Luzhou, Sichuan 646000, China
E-mail:
lywj68@swmu.edu.cn
This article was originally published in a special issue, “Drug Development in Biomedical and Pharmaceutical Sciences”
Indian J Pharm Sci 2023:85(5) Spl Issue “119-128”

This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms

Abstract

Cordyceps sinensis is a widely utilized medicinal substance in clinical practice, notably recognized for its applications in various cancer treatments. Although several studies have demonstrated its therapeutic effects on liver cancer, a comprehensive analysis of the underlying molecular mechanisms is still lacking. In this study, we systematically gathered 197 components and identified 343 action targets of Cordyceps from traditional Chinese medicine systems pharmacology and high-throughput experiment- and reference-guided databases, as well as 1482 therapeutic targets associated with hepatocellular carcinoma from various sources, including Online Mendelian Inheritance in Man, DrugBank and other databases. Utilizing this extensive dataset, we conducted a comprehensive analysis that revealed tumor necrosis factor, cysteine-aspartic acid protease 3, B-cell lymphoma 2, interleukin 6, vascular endothelial growth factor A and peroxisome proliferator-activated receptor as the central targets responsible for the efficacy of Cordyceps sinensis in liver cancer therapy. Further enrichment analysis unveiled potential mechanisms of Cordyceps action in liver cancer treatment, highlighting the tumor necrosis factor-nuclear factor kappa B signalling pathway and wingless-related integration site/catenin beta 1 signalling pathway as areas warranting further exploration. Finally, we utilized molecular docking to visualize the binding models of the relevant components and core targets. In summary, our study systematically and effectively analysed the potential active ingredients, action targets and relevant pathways associated with Cordyceps sinensis in the treatment of hepatocellular carcinoma. These findings shed light on the underlying mechanisms of action of Cordyceps sinensis, thus establishing a robust theoretical foundation for future experimental investigations.

Keywords

Cordyceps sinensis, network pharmacology, molecular docking, traditional Chinese medicine

Liver cancer stands as one of the most prevalent malignant neoplasms globally, encompassing Hepatocellular Carcinoma (HCC), Intrahepatic Cholangiocarcinoma (ICC), and combined hepatocellular-cholangiocarcinoma. Among these, HCC constitutes 75 %-85 % of all primary liver cancer, while ICC accounting for 10 %-15 %[1]. Across the world, the incidence of liver cancer remains notably elevated in Asian nations and Pacific islands, particularly within developing countries[2,3]. In China, nearly 500 000 new cases of primary liver cancer are diagnosed annually, constituting around 50 % of all newly reported instances of primary liver cancer globally. This heightened occurrence primarily stems from deficient early diagnosis and management of Hepatitis B Virus (HBV) infection[4,5]. Concurrently, the prodromal manifestations of liver cancer often evade attention, resulting in detections predominantly manifesting in the intermediate to advanced stages. Present therapeutic modalities are considerably constrained, profoundly compromising the quality of patients life and exacerbating their burdens[2].

Cordyceps sinensis, documented as far back in the early 15th century, is a widely employed medicinal substance in clinical practice, particularly notable for its applications in various tumor treatments. It emerges as a complex entity formed through the symbiotic relationship between the Cordyceps fungus and the remains of its host insect larva. Relevant research has indicated that it actively engages in intricate signalling pathways, both directly and indirectly, thereby exerting diverse pharmacological effects such as anti-infective, antioxidant, immunoregulatory and anticancer properties[6]. There are also studies indicating that Cordyceps sinensis exhibits protective effects against chemical-induced liver injury, immune-mediated liver damage, as well as alcoholic and non-alcoholic liver injuries.

Significantly, Cordyceps sinensis exhibits a clearly defined anticancer effect. Research conducted by Lee et al. has unveiled that Cordyceps is capable of enhancing the sensitivity of liver cancer human hepatoma cell line (Hep3B) to Tumor Necrosis Factor (TNF)-Related Apoptosis-Inducing Ligand (TRAIL) by modulating the c-Jun N-terminal Kinase (c-JNK) signalling pathway, thereby inducing apoptosis in liver cancer cells[7]. Research discovered that Cordyceps sinensis also exhibited inhibitory effects on the production of nitric oxide and Reactive Oxygen Species (ROS). Additionally, it led to an elevation in mitochondrial membrane potential, Superoxide Dismutase (SOD) and catalase levels, while concurrently decreasing the content of Glutathione (GSH)[8]. Furthermore, investigations conducted by Zhang et al. have demonstrated the ability of Cordyceps to augment the responsiveness of the immune system toward tumor cells, thereby significantly inhibiting the growth of tumours within Hepatoma 22 (H-22) tumor-bearing mice[9,10].

However, a comprehensive systematic analysis of Cordyceps sinensis in the context of liver cancer treatment remains lacking. Network pharmacology is a method to analyse the roles of drug components and their target interactions in disease therapeutics. It facilitates the systematic assessment of how drugs exert their therapeutic effects through intricate signalling pathways, making it particularly suitable for studies involving multiple components in disease treatment. Such investigations hold pivotal significance in unravelling the mechanisms of action of Traditional Chinese Medicine (TCM)[11]. Consequently, this study aims to employ network pharmacology method combined with molecular docking to systematically reveal the underlying mechanism of Cordyceps sinensis in treating liver cancer (fig. 1).

Flow

Fig. 1: Flow chart.

Materials and Methods

Potential targets of Cordyceps sinensis:

The ingredients and targets of Cordyceps sinensis were sourced from the TCM Systems Pharmacology (TCMSP)[12] and High-throughput Experiment- and Reference-guided database of TCM (HERB)[13]. The search keyword used was “Dong Chong Xia Cao”. In TCMSP, the selection criteria included an Oral Bioavailability (OB) rate >30 % and a drug-likeness score exceeding 0.18[14]. Conversely, in the HERB database, all ingredients and targets were included as they were derived from previously validated research studies.

Compilation of therapeutic targets for liver cancer:

Several databases like Online Mendelian Inheritance in Man (OMIM)[15], DrugBank[16], MalaCards[17], GeneCards[18], DisGeNET[19] and Therapeutic Target Database (TTD)[20] offer contemporary insights into human genes, granting unhindered access to pertinent information regarding targets for established diseases. In this study, liver cancer serves as the primary search term, employed to retrieve pertinent targets from the aforementioned databases. The gene sets characterized by differential expression, along with genes obtained from each database, are amalgamated, purged of redundancies, and subsequently categorized as genes associated with liver cancer.

Exploration of interrelation networks and core modules:

Protein-Protein Interaction (PPI) stands as a pivotal facet governing the interactions between proteins, with central modules offering elucidation into crucial functional units within PPI networks, thereby aiding the identification of protein complexes and novel pathways. In this study, the PPI network was scrutinized via the Search Tool for the Retrieval of Interacting Genes (STRING) platform for online analysis. Subsequently, the outcomes were imported into Cytoscape (version 3.10.0)[18], and the CytoNCA plugin was employed to meticulously dissect and appraise the intricacies of the PPI network[19]. Simultaneously, in order to further ascertain the core genes, Variant Election (VarElect) was also harnessed to analyze the correlation between targets and diseases. Furthermore, Molecular Complex Detection (MCODE) was employed to delve into the identification of core modules.

Enrichment analysis:

Utilizing Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) empowers the systematic scrutiny of data and the potential for unearthing novel insights[21]. Therefore, within the comprehensive exploration of the therapeutic mechanism of Cordyceps sinensis concerning liver cancer, we engaged in meticulous GO and KEGG analysis concerning the potential targets and functional modules. By uploading the prospective targets onto Metascape[21], we conducted a rigorous GO analysis encompassing biological processes, cellular components, molecular functions and KEGG pathway enrichment. Significance was accorded to elements bearing a value of p<0.01, denoting pronounced enrichment.

Molecular docking:

In the context of this study, the application of molecular docking was instrumental in evaluating the interplay between Cordyceps sinensis and the pivotal targets related to liver cancer. At first, the ligand structures of each ingredient were downloaded from PubChem. Subsequently, the corresponding structures of hub targets were meticulously obtained from the Protein Data Bank (PDB) database[22]. The process of molecular docking will be orchestrated through the utilization of AutoDock[23] in conjunction with (PyMOL)[24].

Results and Discussion

Using “Dong Chong Xia Cao” as the pivotal keyword, a comprehensive search was conducted within the TCMSP and HERB databases. Following meticulous curation and deduplication, a cumulative compilation of 197 ingredients and 343 targets was assembled. Simultaneously, employing “liver cancer” as the primary search term, research across the OMIM, DrugBank, MalaCards, GeneCards, DisGeNET, and TTD databases recruited 508, 229, 50, 434, 1186, and 75 liver cancer-related targets respectively. Upon elimination of duplicates, a total of 1482 targets pertinent to liver cancer therapy were obtained. Finally, the intersections between two sets in a total of 40 targets were defined as potential therapy targets. As shown in fig. 2, we conducted an analysis of the interactions among these 40 targets. Based on their degree values, we identified TNF, Caspase 3 (CASP3), B-Cell Lymphoma 2 (BCL2), Interleukin-6 (IL-6), Vascular Endothelial Growth Factor-A (VEGF-A), and Prostaglandin-endoperoxide Synthase 2 (PTGS2) as central targets within this interaction network. Furthermore, the exploration revealed a highly interconnected functional module (fig. 3). In addition, an analysis of the relevance between targets and disease treatment was conducted, unveiling that among them, 32 targets are directly implicated in disease prognosis, while rest of the targets are indirectly associated with disease prognosis. Notably, TNF, CASP3, BCL2, IL6, VEGF-A, and other targets exhibited the highest degrees of correlation (fig. 4).

network

Fig. 2: The PPI network of potential targets.
Note: The degree value represents the level of involvement of a target within the network; a higher degree signifies greater participation and a more significant role or impact of the target.

modules

Fig. 3: Functional modules extracted from the PPI network.

targets

Fig. 4: Results of the association degree between targets and diseases.

In our study, we continued with an enrichment analysis to explore the main pathways involved in the treatment of liver cancer using Cordyceps (fig. 5). Our analysis of biological processes revealed a strong focus on pathways related to cellular apoptosis. KEGG pathway analysis showed that Cordyceps sinensis was involved in regulating pathways like hepatitis B, cancer, Advanced Glycation Endproducts-Receptor for Advanced Glycation Endproducts (AGE-RAGE) signaling pathway, non-alcoholic fatty liver disease, hepatitis C, alcoholic liver disease, and IL-17 signaling pathway, Nucleotide-binding Oligomerization Domain (NOD)-like receptor signaling pathway, and TNF signaling pathway (fig. 6).

enrichment

Fig. 5: Results of enrichment analysis, (A): GO biological cellular components; (B): KEGG pathway; (C): GO biological processes and (D): GO molecular functions.

analysis

Fig. 6: The results of enrichment analysis for the functional modules.

We established HERB-ingredient-core target-disease network (fig. 7) by integrating the effective ingredients of Cordyceps sinensis with the highly associated core targets in liver cancer. This network consists by 18 nodes and 26 edges, succinctly encapsulating the intricate relationships between the key ingredients and core targets of our analysis.

core

Fig. 7: HERB-ingredient-core target-disease network.
Equation

To validate our findings, we conducted molecular docking to visualize the binding method of key ingredients and core targets (fig. 8). Besides, in all molecular docking models, stable hydrogen bonds were formed, and the strength of their binding energies is illustrated in Table 1.

docking

Fig. 8: The molecular docking results, (A): TNF-caffeine; (B): PPARG-uralene; (C): IL-6-caffeine; (D): CASP3-beta-sitosterol and (E): BCL2-beta- sitosterol.

Protein Gene name Ligands Pubchem ID Binding energy
Caspase-3 CASP3 Arachidonic acid 444899 -5.6
Caspase-3 CASP3 Beta-sitosterol 222284 -7.3
Caspase-3 CASP3 Berberine 2353 -6.8
Caspase-3 CASP3 Caffeine 2519 -5.1
Caspase-3 CASP3 Higenamine 114840 -6.8
Apoptosis regulator Bcl-2 BCL2 Beta-sitosterol 222284 -6.4
Apoptosis regulator Bcl-2 BCL2 Palmitic acid 985 -4.4
Tumor necrosis factor TNF Caffeine 2519 -5.6
Tumor necrosis factor TNF Cinnamaldehyde 637511 -5.3
Tumor necrosis factor TNF Palmitic acid 985 -4.2
Interleukin-6 IL-6 Caffeine 2519 -5
Peroxisome proliferator-activated receptor gamma PPARG Crachidonic acid 444899 -5.1
Peroxisome proliferator-activated receptor gamma PPARG Cordycepin 6303 -6.3
Peroxisome proliferator-activated receptor gamma PPARG Uralene 192409 -7.3

Table 1: The results of binding energy of each molecular docking.

The research conducted by Chen et al. indicates that the subunits of TNF brings changes in the microenvironment, inducing the generation of an inflammatory microenvironment by Allograft Inflammatory Factor 1 (AIF1)+Colony Stimulating Factor 1 Receptor (CSF1R)+Mesenchymal Stem Cells (MSCs) and promoting the onset of liver cancer[21]. Concurrently, other studies suggest that the regulation of the TNF-Nuclear Factor Kappa B (NFκB) signaling pathway is crucial for compensatory proliferation of liver cells, with excessive TNF expression diminishing this compensatory response, thereby fostering the development of HCC[22]. Research conducted in mice demonstrates that by targeting a pivotal component of the TNF-mediated NFκB signaling pathway, tumor growth is decelerated, highlighting TNF as a promotive factor in liver cancer, with the NFκB signaling pathway being one of its essential routes[23]. Based on a review of analogous studies, anti-TNF treatment stands as a promising avenue in the advancement of liver cancer therapy[24]. CASP3 has emerged as a prominent target in recent liver cancer-related investigations. Research has unveiled that CASP3 cleaves Sterol Regulatory Element-Binding Protein 2 (SREBP2) in the endoplasmic reticulum, facilitating cholesterol biosynthesis and leading to resistance against anti-liver cancer treatment by triggering the activation of the sonic hedgehog signaling pathway[25]. In various studies, the decline of BCL2 due to various reasons has shown to promote apoptosis in liver cancer cells[26,27]. Certain research findings concerning Peroxisome Proliferator-Activated Receptor Gamma (PPARG) suggests that its upregulation can activate the Wingless-related integration site/Catenin Beta-1 (WNT/CTNNB1) signaling pathway, contributing to the occurrence and progression of liver cancer[28,29].

IL-6 is a pleiotropic cytokine with a four-helix bundle structure that plays multiple roles in the body. Since its discovery, it has been recognized as a participant in the regulation of various pathways, including inflammation and immunity. Studies have indicated that the activation of IL-6 triggers the activation of the IL-6/Signal Transducer and Activator of Transcription 3 (STAT3) signaling pathway. Conversely, anti-IL-6 therapy has an inhibitory effect on this pathway, revealing a novel mechanism in macrophage polarization regulation with significant potential for future liver cancer treatment[30]. A comprehensive review underscores the vital role of IL-6 in maintaining hepatocellular homeostasis. Sustained activation of the IL-6 signaling pathway can be detrimental to the liver and may ultimately lead to the development of hepatic tumors[31].

VEGF-A, is conventionally known for its roles in inducing endothelial cell proliferation, promoting cell migration, inhibiting apoptosis, and increasing vascular permeability. Research has indicated that the overexpression of bone morphogenetic protein 9 can stimulate VEGF-A secretion, consequently activating the Hypoxia-Inducible Factor 1-alpha (HIF-1α)/VEGF-A signaling pathway, ultimately promoting the development of blood vessels in liver cancer. Furthermore, targeted therapy against VEGF-A represents a crucial avenue in the treatment of advanced liver cancer[32,33]. Moreover, non-alcoholic fatty liver disease is considered a significant risk factor for liver cancer. During the transition from non-alcoholic fatty liver disease to liver cancer, the activation of VEGF-A through various pathways is believed to facilitate the development of liver cancer[34].

However, this study has some limitations. Foremost among these is that the primary objective of this investigation was to gain a deeper understanding of its mechanism through the application of network pharmacology and molecular docking techniques. Despite yielding results of considerable exploratory significance, further progression necessitates the implementation of clinical randomized controlled trials to validate the accuracy of the responsive targets and pathways.

In the virtual analysis conducted in this study, Cordyceps sinensis exhibited therapeutic potential against liver cancer. This effect primarily originates from its intricate influence on the target proteins through a complex interplay of its constituents, notably its regulation of targets such as BCL2, IL6, CASP3, and TNF, as well as its modulation of pertinent pathways. These findings have illuminated the underlying mechanism of action of Cordyceps sinensis, thus establishing a solid theoretical foundation for future experimental endeavors.

Acknowledgements:

This study was supported by Luzhou “Jiucheng Talents, Scientific and Technological Innovation Team” (Number: [2021] No. 162), traditional Chinese medicine talent growth platform construction project of Sichuan Provincial Administration of Traditional Chinese Medicine, National Traditional Chinese Medicine Clinical Research Base Construction Unit, research project of the Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University (Number: [2020] No. 33), and joint project of Southwest Medical University-Affiliated Traditional Chinese Medicine Hospital of Southwest Medical University (Number: [2020] No.6, 2020XYLH-037), basic clinical research on the prevention and treatment of primary liver cancer based on the academic thought of professor Sun Tongjiao, a famous national traditional Chinese medicine (Number: [2022] 2022YFS0619).

Authors’ contributions:

Yaping Mu and Jing Wang contributed equally to this work. Yaping Mu, Ding Zheng, and Qinghua Peng conceived, designed, and planned the study. Yaping Mu acquired and analysed the data. Yaping Mu and Fei Ye interpreted the results. Yaping Mu and Jing Wang drafted the manuscript and Encheng Wang and Jing Wang contributed to the critical revision of the manuscript. All authors read and approved the final manuscript.

Conflicts of interests:

The authors declare no conflict of interests.

References