1. Introduction

Chinese Medicine

2151-1918

Scientific Research Publishing

10.4236/cm.2022.131001

CM-115624

Articles

Medicine&Healthcare

Target Prediction of Xinyi San for Rhinitis Based on Network Pharmacology

Lingdi

Wang

¹^*Ying

Wang

¹Yingxue

Lin

¹Xin

Meng

Department of Pharmacy, The Affiliated Hospital of Chengde Medical College, Chengde, China

01032022

130111427, December 202127, February 2022 2, March 2022

2014

This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/

Objective: To analyze the potential mechanism of Xinyi San in treating rhinitis through network pharmacology. Methods: In the database of Traditional Chinese Medicine Systems Pharmacology (TCMSP), chemical composition and potential targets of Xinyi San were got, and the target genes of rhinitis of Xinyi San were extracted from GeneCards databases. Then we constructed protein-protein interactions (PPI) network of target genes, and then analyzed the Key genes in GO analysis and KEGG analysis. Results: We got 97 components, 53 potential therapeutic targets, 1009 GO items and 92 pathways in our study. The main pathways includ ed Lipid and atherosclerosis, Chemical carcinogenesis - receptor activation, PI3K-Akt signaling pathway, Human cytomegalovirus infection, Prostate cancer, etc. Conclusion: Xinyi San plays a role in treating rhinitis through multiple components, multiple targets and multiple pathways.

Rhinitis Network Pharmacology Xinyi San

1. Introduction

Rhinitis is the inflammation of nasal mucosa caused by viruses, bacteria, allergens, various physical and chemical factors and some systemic diseases, and which with nasal congestion, runny nose, nasal pruritus, sneezing, decreased smell, headache and dizziness as the main clinical manifestations. Nowadays, rhinitis has become a global health problem. In China, the incidence rate of rhinitis is as high as 37%, and the number of rhinitis cases is increasing at a rate of 20 million - 3 per million per year [1]. Modern medical treatment of rhinitis is mainly to control and alleviate symptoms. However, the side effects of therapeutic drugs are obvious, and it is easy to relapse. Traditional Chinese medicine has irreplaceable advantages in the treatment of rhinitis. It has significant curative effect and minor side effects.

Xinyi San originated from Yan’s Jisheng recipe written by Yan Yonghe in the Song Dynasty [2]. The whole recipe was composed of 10 drugs such as xinyi (Magnoliae Flos), xixin (Asari Radix Et Rhizoma), gaoben (Ligustici Rhizoma Et Radix), shengma (Cimicifugae Rhizoma), chuanxiong (Chuanxiong Rhizoma), mutong (Akebiae Caulis), fangfeng (Saposhnikoviae Radix), qianghuo (Notopterygii Rhizoma Et Radix), gancao (Glycyrrhizae Radix Et Rhizoma) and baizhi (Angelicae Dahuricae Radix). It is effective to evacuate wind cold, dredge nose orifices, and mainly treats lung deficiency, wind cold, damp and heat. In addition, the nose is blocked, the nose is full of tears, or the breath is blocked, or there is no smell. Modern clinical research also shows that Xinyi San has a good therapeutic effect on rhinitis [3] [4]. However, due to the complex clinicopathology of rhinitis and more chemical components contained in Xinyi San, the mechanism of its treatment of rhinitis at the molecular level is not clear. Network pharmacology is a branch of pharmacology that uses network methods to analyze the “multi-component, multi-target and multi-channel” synergistic relationship between drugs, diseases and targets. It can build a complex network between drugs, components, targets and diseases to explore the action mechanism of drugs [5]. Therefore, based on network pharmacology, this study explores the pharmacodynamic material basis and potential mechanism of Xinyi San in the treatment of rhinitis, so as to provide reference for further basic research, clinical application and new drug research and development.

2. Materials and Methods2.1. Screened for Components and Targets of Xinyi San

Based on TCMSP (http://tcmspw.com), the candidate chemical components and corresponding protein targets were searched with xinyi, xixin, gaoben, shengma, chuanxiong, mutong, fangfeng, qianghuo, gancao and baizhi as keywords. And with UniProt (https://www.uniprot.org/) query the gene name corresponding to the target protein for standardization.

2.2. Screened for Rhinitis Targets

Entered the keyword “rhinitis” in the Genecards database (https://www.genecards.org) to search for disease targets which were related to rhinitis. We integrated targets and eliminated duplicate targets. Then, we obtained the total targets.

2.3. Venn Analysis of Potential Targets in the Treatment of Rhinitis

The potential active ingredient and targets of the Xinyi San and the rhinitis were mapped the intersection through the Venny platform (version 2.1, http://bioinfogp.cnb.csic.es/tools/venny/). And then we obtained the potential targets of Xinyi San in the treatment of rhinitis.

2.4. Constructed Disease - Single Drug - Active Ingredient - Target” Network

According to the above screening results, Cytoscape 3.7.2 software constructed the relationship network model of “disease-single drug-active component-target”. The node represents single drug, active component and action target, and the edge represents the relationship between single drug-active component-target.

2.5. Constructed PPI Network

String database (https://string-db.org) is a database for searching the interaction between proteins. We imported the intersection targets of Xinyi San obtained by Venn analysis into the string database, with the species’ limition as “Homo sapiens”, and then we removed the isolated targets. The screening criteria were confidence (0.4).

2.6. Gene Enrichment Analysis

In order to analyze the biological function and biological signal pathway of Xinyi San on rhinitis, GO functional enrichment analysis and KEGG pathway enrichment analysis were performed on R4 1.1 software. With p < 0.05, the top 20 biological processes and pathways were selected according to the number of targets involved in each entry and lgP value.

3. Results3.1. Screened Components of Xinyi San

A total of 97 potential active components of Xinyi San were finally screened by TCMSP platform, the correspondent target proteins of each active ingredient were also obtained (see Table 1).

Table 1 The basic information of potential active components in Xinyi San

Source	Mol ID				Molecule Name				MW				OB (%)						DL
xixin	MOL000018				(+/−)-Isoborneol				154.28				86.98413						0.05275
xixin	MOL000715				l-Menthone				154.28				57.89753						0.029429
xixin	MOL000254				eugenol				164.22				56.2419						0.036518
xixin	MOL001972				Pulegone				152.26				51.59647						0.029676
xixin	MOL000198				(R)-linalool				154.28				39.8043						0.022686
xixin	MOL000122				1, 8-cineole				154.28				39.72922						0.049041
xixin	MOL000169				alpha-Guaiene				204.39				25.93463						0.072089
xixin	MOL000069				palmitic acid				256.48				19.29656						0.098573
xixin	MOL003127				Germacrene D				204.39				19.22251						0.057074
xixin	MOL000860				stearic acid				284.54				17.82543						0.14086
xinyi	MOL000018				(+/−)-Isoborneol				154.28				86.98413						0.05275
xinyi				MOL000676				DBP		278.38						64.54164			0.13409
xinyi				MOL013062				BZQ		182.23						58.62326			0.059888
xinyi				MOL000254				eugenol		164.22						56.2419			0.036518
xinyi				MOL002002				cis-Carveol		152.26						45.61104			0.029604
xinyi				MOL000122				1, 8-cineole		154.28						39.72922			0.049041
xinyi				MOL000035				beta-Selinene		204.39						24.38821			0.081081
xinyi				MOL001393				myristic acid		228.42						21.18117			0.066784
xinyi				MOL000069				palmitic acid		256.48						19.29656			0.098573
shengma				MOL000715				l-Menthone		154.28						57.89753			0.029429
shengma				MOL000141				hydroxytyrosol		154.18						57.56917			0.032051
shengma				MOL000254				eugenol		164.22						56.2419			0.036518
shengma				MOL001972				Pulegone		152.26						51.59647			0.029676
shengma				MOL000449				Stigmasterol		412.77						43.82985			0.75665
shengma				MOL000131				EIC		280.5						41.90444			0.14347
shengma				MOL000198				(R)-linalool		154.28						39.8043			0.022686
shengma				MOL000360				FER		194.2						39.55852			0.058069
shengma				MOL000359				sitosterol		414.79						36.91391			0.7512
shengma				MOL001393				myristic acid		228.42						21.18117			0.066784
shengma				MOL000357				Sitogluside		576.95						20.63194			0.6241
shengma				MOL000069				palmitic acid		256.48						19.29656			0.098573
shengma				MOL000879				methyl palmitate		270.51						18.08756			0.11594
qianghuo				MOL000771				p-coumaric acid		164.17						43.29024			0.039118
qianghuo				MOL000360				FER		194.2						39.55852			0.058069
qianghuo				MOL000358				beta-sitosterol		414.79						36.91391			0.75123
qianghuo				MOL000359				sitosterol		414.79						36.91391			0.7512
qianghuo				MOL000114				vanillic acid		168.16						35.47235			0.040917
qianghuo				MOL000035				beta-Selinene		204.39						24.38821			0.081081
qianghuo				MOL001393				myristic acid		228.42						21.18117			0.066784
qianghuo				MOL000357				Sitogluside		576.95						20.63194			0.6241
qianghuo				MOL000069				palmitic acid		256.48						19.29656			0.098573
qianghuo				MOL000879				methyl palmitate		270.51						18.08756			0.11594
qianghuo				MOL000860				stearic acid		284.54						17.82543			0.14086
mutong				MOL000449				Stigmasterol		412.77						43.82985			0.75665
mutong				MOL000360				FER		194.2						39.55852			0.058069
mutong				MOL000358				beta-sitosterol		414.79						36.91391			0.75123
mutong		MOL000114				vanillic acid						168.16		35.47235			0.040917
mutong		MOL000860				stearic acid						284.54		17.82543			0.14086
gaoben		MOL000612				(-)-alpha-cedrene						204.39		55.56099			0.10498
gaoben		MOL000131				EIC						280.5		41.90444			0.14347
gaoben		MOL000360				FER						194.2		39.55852			0.058069
gaoben		MOL000359				sitosterol						414.79		36.91391			0.7512
gancao		MOL000676				DBP						278.38		64.54164			0.13409
gancao		MOL000098				quercetin						302.25		46.43335			0.27525
gancao		MOL000359				sitosterol						414.79		36.91391			0.7512
fangfeng		MOL000018				(+/−)-Isoborneol						154.28		86.98413			0.05275
fangfeng		MOL000676				DBP						278.38		64.54164			0.13409
fangfeng		MOL001889				Methyl linolelaidate						294.53		41.93436			0.16791
fangfeng		MOL000131				EIC						280.5		41.90444			0.14347
fangfeng		MOL000198				(R)-linalool						154.28		39.8043			0.022686
fangfeng		MOL000122				1, 8-cineole						154.28		39.72922			0.049041
fangfeng		MOL000358				beta-sitosterol						414.79		36.91391			0.75123
fangfeng		MOL000359				sitosterol						414.79		36.91391			0.7512
fangfeng		MOL000114				vanillic acid						168.16		35.47235			0.040917
fangfeng		MOL000173				wogonin						284.28		30.68457			0.22942
fangfeng		MOL000035				beta-Selinene						204.39		24.38821			0.081081
fangfeng		MOL001393				myristic acid						228.42		21.18117			0.066784
fangfeng		MOL000357				Sitogluside						576.95		20.63194			0.6241
fangfeng		MOL000069				palmitic acid						256.48		19.29656			0.098573
fangfeng		MOL000879				methyl palmitate						270.51		18.08756			0.11594
fangfeng		MOL000860				stearic acid						284.54		17.82543			0.14086
fangfeng		MOL005402				Methyl margarate						284.54		17.40885			0.13808
chuanxiong		MOL000131				EIC						280.5		41.90444			0.14347
chuanxiong		MOL000198				(R)-linalool						154.28		39.8043			0.022686
chuanxiong		MOL000122				1, 8-cineole						154.28		39.72922			0.049041
chuanxiong		MOL000359				sitosterol						414.79		36.91391			0.7512
chuanxiong		MOL000114				vanillic acid						168.16		35.47235			0.040917
chuanxiong		MOL000035				beta-Selinene						204.39		24.38821			0.081081
chuanxiong		MOL000357				Sitogluside						576.95		20.63194			0.6241
chuanxiong		MOL000069				palmitic acid						256.48		19.29656			0.098573
chuanxiong		MOL003127				Germacrene D						204.39		19.22251			0.057074
chuanxiong			MOL001729				Crysophanol				254.25				18.63889			0.2094
chuanxiong			MOL000879				methyl palmitate				270.51				18.08756			0.11594
chuanxiong			MOL000860				stearic acid				284.54				17.82543			0.14086
baizhi			MOL000676				DBP				278.38				64.54164			0.13409
baizhi			MOL000254				eugenol				164.22				56.2419			0.036518
baizhi			MOL000449				Stigmasterol				412.77				43.82985			0.75665
baizhi			MOL000131				EIC				280.5				41.90444			0.14347
baizhi			MOL000198				(R)-linalool				154.28				39.8043			0.022686
baizhi			MOL000360				FER				194.2				39.55852			0.058069
baizhi			MOL000358				beta-sitosterol				414.79				36.91391			0.75123
baizhi			MOL000035				beta-Selinene				204.39				24.38821			0.081081
baizhi			MOL001393				myristic acid				228.42				21.18117			0.066784
baizhi			MOL000357				Sitogluside				576.95				20.63194			0.6241
baizhi			MOL000069				palmitic acid				256.48				19.29656			0.098573
baizhi			MOL000879				methyl palmitate				270.51				18.08756			0.11594
baizhi			MOL000860				stearic acid				284.54				17.82543			0.14086

3.2. Venn Analysis of Targets of Xinyi San in the Treatment of Rhinitis

The targets were predicted by Pharmmapper, and 113 potential active ingredient targets were obtained after weight removal. The obtained target names were input into UniProt database and converted into corresponding gene names. 2562 disease targets were obtained by searching “rhinitis” in genecards database. Through Venn analysis, the intersection of mapping is 53 targets that may be related to the effect of Xinyi San on rhinitis (see Figure 1).

3.3. Constructed of Disease - Single Drug - Active Ingredient - Target” Network

The information of disease, single drug, active ingredient and target were imported into the software Cytoscape for visualization, and the network diagram of “disease - single drug - active ingredient - target” is constructed, including 105 nodes (1 disease node, 10 drug nodes, 41 active ingredient nodes and 53 action target nodes) and 335 edges (see Figure 2).

3.4. Constructed PPI Network

53 intersecting targets obtained from Venn analysis were imported into the STRING database to build the PPI network (see Figure 3). The network contained 50 nodes (DCAF5, PCYY1A and ADRA1A were isolated targets and didn’t participate in the analysis) and 369 edges. The top 30 targets were processed with

R language to obtain the core target map (see Figure 4). The top 10 targets with visibility value were IL6, EGFR, VEGFA, HIF1A, CASP3, ESR1, PPARG, MYC, RELA, NFKBIA.

3.5. GO Enrichment Analysis and KEGG Pathway Analysis

Through the analysis of 53 potential targets by R software, 1009 GO entries were obtained, including 84 molecular function (MF), 8 cellular component (CC) and 917 biological process (BP) (see Figure 5). We got 92 KEGG pathways (P < 0.05) (see Figure 6), such as Lipid and atherosclerosis, Chemical carcinogenesis

receptor activation, PI3K-Akt signaling pathway, Human cytomegalovirus infection, Prostate cancer, AGE-RAGE signaling pathway in diabetic complications, Fluid shear stress and atherosclerosis, Kaposi sarcoma-associated herpesvirus infection and Calcium signaling pathway.

4. Discussion

Rhinitis is a high risk factor for sinusitis, nasal polyps, otitis media and bronchial asthma. This disease has a serious impact on the patient’s mental state, work and life. Modern medical treatment of this disease mainly includes drug treatment, immunotherapy and surgical treatment. It mainly focuses on controlling and alleviating symptoms, but the condition is very easy to repeat.

Our study showed that quercetin, beta-sitosterol, eugenol, palmitic acid, wogonin and Stigmasterol can match more targets, which were likely to be the key effective components of Xinyi San in treating rhinitis. Quercetin, as a flavonoid, is a research hotspot in recent years. It can significantly improve IL-2 and IFN-γ. Inhibit the levels of IL-4 and IL-5, regulate the balance of Th1/Th2 cytokines, and have a protective effect on allergic rhinitis [6], and many experiments [7] [8] [9] have confirmed that quercetin has a significant effect on rhinitis. Beta sitosterol and Stigmasterol can reduce inflammatory cytokines IL-6 and TNF-α [10] [11]. Eugenol can reduce allergic reactions through suppression of cPLA2 and 5-L0 activation and through inhibition of COX-2 activity [12]. Toll-like receptors and their mediated innate immunity play an important role in the response of nasal sinus mucosal defense [13]. Palmitic acid has been shown to induce TLR4

protein expression in vascular endothelial cells and significantly increase the TLR4 protein level of endothelial cell membrane, accompanied by significant activation of TLR4 inflammatory signaling pathway [14], which may have good therapeutic effect on allergic rhinitis; Wogonin was shown to be active chemicals in the anti Infammatory induced angiogenesis [15].

The PPI network shows that IL6, EGFR, VEGFA, HIF1A, CASP3, ESR1, PPARG, MYC, RELA and NFKBIA may be the key targets of Xinyi San in treating rhinitis. IL6 has been proved to be closely related to the occurrence and development of rhinitis [16] [17]. The activation of EGFR/EGF signaling pathway is inhibited, which can improve immune adhesion and affect the inflammatory response of AR nasal mucosa [18]. VEGF family mainly includes VEGFA, B, C, D, E and F, among which VEGFA is the most studied. Certain structural changes will occur in nasal mucosa of patients with rhinitis, and VEGF can promote angiogenesis, increase vascular permeability and vascular remodeling of nasal mucosa, promote damaged tissue repair and protect tissue cells [19]. HIF1A can regulate immunity, promote inflammation and induce neovascularization, and has a certain impact on the structural changes of nasal mucosa [20]. The experimental results of Li Yan et al. [21] suggest that the occurrence of rhinosinusitis may promote cell apoptosis by activating the apoptosis executive protein CASP3 through the upstream protein of the internal and external pathways of apoptosis. It is reported in the literature [22] that the prevalence of rhinitis in women is significantly higher than that in men, speculating that sex hormone ESR1 is of great significance in the occurrence and development of rhinitis. PPARG can regulate the inflammatory response of macrophages, mast cells, T cells and eosinophils, PPARG activator can reduce the rhinitis symptom score and inhibit the inflammatory response in allergic rhinitis mice [23]. MYC gene is a cell oncogene, which is involved in cell cycle regulation, cell growth regulation, cell proliferation, differentiation and transformation [24]. XIAO LF et al. [25] found that RELA, a gene known to be involved in regulating inflammation, can limit inflammatory response and treat rhinitis; NFKBIA plays a central role in inflammatory regulation and immune response [26], and has positive significance for the recovery of rhinitis.

GO enrichment analysis showed that the gene function of Xinyi San in the treatment of rhinitis was mainly reflected in DNA-binding transcription factor binding, (DNA-binding transcription activator activity, RNA polymerase II-specific), DNA-binding transcription activator activity, ubiquitin protein ligase binding, ubiquitin-like protein ligase binding, protein heterodimerization activity and so on. KEGG pathway enrichment analysis further confirmed the main signal pathways of Xinyi San in the treatment of rhinitis, mainly including Lipid and atherosclerosis, Chemical carcinogenesis - receptor activation and PI3K-Akt signaling pathway, which are mainly related to virus infection, inflammation and apoptosis, suggesting that Xinyi San may play on varieties of cytokines to play an anti-inflammatory and anti-inflammatory role Inhibit cytokine storm and treat rhinitis.

This study used network pharmacology to analyze the potential mechanism of Xinyi San in the treatment of rhinitis. The results confirmed the multi-component, multi-target and multi-channel characteristics of Xinyi San in the treatment of rhinitis, which provided a new idea for further experimental research and clinical application of Xinyi San.

5. Conclusion

In summary, we analyzed the main components of Xinyi San in treating rhinitis, and thus had a further understanding of its pharmacodynamic basis. By using the method of network pharmacology, the mechanism of Xinyi San in treating rhinitis was analyzed systematically at the molecular level. But the study also had some limitations, some of the results still needed to be verified by further laboratory tests and clinical studies.

Funding

This study was funded by Scientific Research Project of Hebei Administration of Traditional Chinese Medicine (No. 2022437).

Conflicts of Interest

The authors declare no conflicts of interest regarding the publication of this paper.

Cite this paper

Wang, L.D., Wang, Y., Lin, Y.X. and Meng, X. (2022) Target Prediction of Xinyi San for Rhinitis Based on Network Pharmacology. Chinese Medicine, 13, 1-14. https://doi.org/10.4236/cm.2022.131001

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