Skip to main content
Evidence-based Complementary and Alternative Medicine : eCAM logoLink to Evidence-based Complementary and Alternative Medicine : eCAM
. 2022 Jul 8;2022:9152201. doi: 10.1155/2022/9152201

The Pharmacological Mechanism of Xiyanping Injection for the Treatment of Novel Coronavirus Pneumonia (COVID-19): Based on Network Pharmacology Strategy

Liang-jing Xia 1,2, Liang-ming Zhang 1, Kun Yang 1,3, Tong Chen 4, Xian-wen Ye 5, Zi-jun Yan 1,4,
PMCID: PMC9271007  PMID: 35818408

Abstract

Purpose

The possible mechanism of Xiyanping injection treatment COVID-19 is discussed through the network pharmacology.

Methods

Obtaining the chemical structure of Xiyanping injection through the patent application and obtaining control compounds I, II, III, IV, V, Yanhuning injection (VI, VII), Chuanhuning injection (VIII, IX), 10 compounds were analyzed by D3Targets-2019-nCoV. The human anti-COVID-19 gene in COVID-19 DisGeNET was intersected with the CTD Andrographolide target gene and then combined with D3Targets-2019-nCoV, resulting in 93 genes, using the Venny 2.1 platform. The PPI network was constructed by the String platform and Cytoscape 3.8.2 platform. The GO, KEGG, and tissue of the target were analyzed using the Metascape platform and DAVID platform. The gene expression in the respiratory system was analyzed using the ePlant platform. The CB-Dock is used for the docking verification and degree values of the first 20 genes.

Results

Finally, 1599 GO and 291 KEGG results were obtained. GO is mostly associated with the cell stress response to chemicals, the cell response to oxidative stress, and the cell response to reactive oxygen species. In total, 218 KEGG pathway concentrations were related to infection and other diseases and 73 signaling pathways mostly related to inflammation and immune pathways, such as TNF signaling pathway and MAPK signaling pathway. The molecular docking results show that Xiyanping injection, compound III, has a good docking relationship with 20 target proteins such as HSP90AA1. Tissue has 22 genes that are pooled in the lungs.

Conclusion

Xiyanping injection may inhibit the release of various inflammatory factors by inhibiting intracellular pathways such as MAPK and TNF. It acts on protein targets such as HSP90AA1 and plays a potential therapeutic role in COVID-19. Thus, compound III may be treated as a potential new drug for the treatment of COVID-19 and the Xiyanping injection may treat patients with COVID-19 infection.

1. Introduction

According to expert consensus, Xiyanping injection belongs to Chinese medicine injections, primarily composed of sodium((1R, 2R, 4aR, 8aS)-2-hydroxy-5-((E)-2-((S)-4-hydroxy-2-oxodihydrofuran-3(2H)- ylidene) ethyl)-1,4a,6-trimethyl-1,2,3,4,4a,7,8,8a-octahydronaphthalen-1-yl)methyl sulfate (C20H29O5·SO3Na). It mainly has anti-inflammatory, antibacterial, anticough, and other effects and enhances the body's immunity, [1]. In the “2019 Novel Coronavirus Diagnosis and Treatment Program” (Trial 6th Edition) implemented by the State Health and Construction Commission of China, the virus infection is heavy and critical or combined with mild bacterial infection, and the treatment of Xiyanping injection is recommended with Chinese medicine injection. The recommended usage is as follows: 0.9% sodium chloride injection 250 mL plus Xiyanping injection 100 mg b.i.d. [2]. The drug has been on the market for more than 30 years. In 2016, Xiyanping injection ranked in the top three in the market for Chinese medicine injections in the clear-heat detoxification category, with market size of about 2.6 billion yuan, often used in pediatrics [3].

Coronaviruses (CoVs) consist of a single positive-chain RNA virus that belongs to the coronavirus group and can develop into respiratory, intestinal, nervous, reproductive, and other diseases in infected animals and humans [4]. In 2019, some hospitals in Wuhan City, Hubei Province, have found several cases of unexplained pneumonia with a history of exposure to the South China seafood market, which has been confirmed as a new type of coronavirus infection caused by acute respiratory infections. The World Health Organization has named the virus “COVID-19” [5]. Similar to the pathological mechanism of Severe Acute Respiratory Syndrome (SARS), SARS-CoV-2 infections disrupt the epithelial-endothelial barrier in the bronchial and alveoli, causing alveoli-capillary oxygen transfer dysfunction and impaired oxygen diffusion. In patients with severe COVID-19, severe coagulation dysfunction and thrombosis and sepsis further lead to multiple organ failures [6]. Zhong Nanshan's team reported in the literature that 63.4% of COVID-19 patients had a fever and lung abnormalities in chest CT scans; experimental studies have shown that patients with COVID-19 have lymphocyte reduction and increased levels of reactive protein (CRP) [7].

Recently, network pharmacology has been widely used in the study of Chinese medicine anti-SARS-CoV-2 [8]. The emerging network pharmacology technology can be widely used to explore the possible mechanism of Chinese medicine to treat diseases through multicomponent, multitarget, and multichannel levels and to explore potential therapeutic drugs [9]. The Chinese medicine injections in the New Coronary Virus Pneumonia Treatment Programme (Trial 7) [10] are included in the recommended SARS-CoV-2 treatment options, such as Xiyanping injection, Xuebijing injection, Reduning, Tanreqing injection, Xingnaoling injection, Shenfu injection, Shenmai injection, and Shengmai injection. This has also raised awareness and acceptance of Chinese medicine injections. In Wuhan Jinyintan Hospital, Wuhan Lung Hospital, Huazhong University of Science, and Technology Tongji Medical College affiliated Concord Hospital, seriously ill patients by the Chinese and Western Medical Federation, more patients used Chinese medicine injections, achieved good results. Professor Zhangboli said “for patients with mild illness, a large number of practices have proved that Chinese medicine can improve symptoms, shorten the course of treatment, and promote healing” [11]. Mild patients often present with fever, dry cough, and fatigue symptoms mainly. Some patients have wheezing, and lungs scattered in the oozing symptoms; Chinese medicine has detoxification, cough relief, and other good therapeutic effects. He led the clinical study of the Wuhan Fire Line project. The phase analysis shows that the first batch of 52 patients in Hubei Province combined with Western medicine hospital clinical control study: including 34 cases of Chinese and Western medicine combined treatment group, 18 cases of the simple Western medicine treatment group. The data analysis results show that compared with the Western medicine group, the clinical symptoms of the combination group of Chinese and Western medicine were shortened by 2 days. The normal temperature was reduced by 1.7 days. The average number of hospital days was shortened by 2.2 days. The CT image improvement rate was increased by 22%, and the clinical cure rate was increased by 33% [11].

Based on clinical data, this article uses network pharmacology to explore the possible mechanism of Xiyanping injection anti-SARS-CoV-2, while andrographolide, compound III, can be used as a potential new anti-SARS-CoV-2 drug (Figure 1).

Figure 1.

Figure 1

Technological roadmap of Xiyanping injection.

2. Materials and Methods

2.1. Collection of Target Compounds

We obtained the chemical structures of six andrographolide salts, including Xiyanping injection and other andrographolide salts synthesized in process production, through the contents in the patent book of pharmaceutical companies. These five compounds were derived from the production process of Xiyanping injection, but they were not produced in the market as the objects of subsequent pharmacodynamic development, and there were no related clinical studies: I, II, III, IV, and V. We obtained similar andrographolide Chinese medicine injections via the DrugBank [12] platform (https://go.drugbank.com/): Yanhuning injection compounds: VI and VII; Chuanhuning injection compounds: VIII and IX. Ten compounds are drawn and saved in SDF format via ChemDraw 20.0 software [13].

2.2. Screening of Disease Targets

Based on the D3Targets-2019-nCoV platform [14] (https://www.d3pharma.com/D3Targets-2019-nCoV/index.php), the Xiyanping injection anti-COVID-19-related target genes were docked. We obtained human gene targets related to andrographolide based on the CTD platform [15] (https://ctdbase.org/). The CTD platform [15]captures the set of genetic targets that andrographolide acts on in humans; the Human anti-COVID-19 gene dataset on the COVID-19 DisGeNET platform [16] (https://ctdbase.org/) takes the target intersection collection of these two gene sets through the Venny 2.1 platform (https://bioinfogp.cnb.csic.es/tools/venny/). The collection is then merged with the human anti-COVID-19 target obtained by the D3Targets-2019-nCoV platform [14]. Finally, a target set of the andrographolide drug Xiyanping injection anti-COVID-19 was obtained [(CTD ∩ COVID-19 DisGeNET)∪D3Targets-2019-nCoV]−[(CTD ∩ COVID-19 DisGeNET)∩ D3Targets-2019-nCoV].

2.3. Target Gene Network Construction and Analysis

The target protein is converted into the corresponding gene name through the UniProt platform [17] (https://www.uniprot.org/), and the target protein interaction network (PPI network) is built through the String platform [18] (https://www.string-db.org/). Finally, a compound-target PPI network is built using the Cytoscape 3.8.2 software platform [19].

2.4. GO and KEGG Pathway Enrichment Analysis

To further analyze the function of the target, the target is uploaded to the Metascape platform [20] (https://metascape.org/); the species is limited to “H. sapiens,” the threshold P < 0.05, and its GO biofunction (biological process (BP), molecular function (MF), and cell composition (CC)) enrichment analysis is carried out. At the same time, KEGG signal path enrichment analysis and tissue structural analyses are carried out through the DAVID platform [21] (https://david.ncifcrf.gov/), and Enrichment Plot is drawn through the image GP platform (http://www.ehbio.com/).

2.5. Drug Ingredients: Protein Targets' Molecular Docking

Download the Human Target Protein (Table 1) in the Top 20 Degrees from the PDB platform [22] (https://www.rcsb.org/): 20 target macromolecules, hydrogenation, removal of water molecules, removal of ligands, etc., through Discovery Studio 2019 Client software [23]. The target component and macromolecules are uploaded to the CB-Dock platform [24] (https://clab.labshare.cn/cb-dock/php/) for molecular docking to bind the energy ≤ −5.0 kcal/mol as the basis for molecular-target interactions [25]. The docking results are mapped to heatmap via the image GP platform, and the binding sites and patterns of ligand drugs and target proteins are observed through Discovery Studio 2019 Client software [23].

Table 1.

93 genes collected.

UniProt ID Gene names
P07900 HSP90AA1
Q9Y243 AKT3
P62937 PPIA
Q2M2I8 AAK1
Q9Y2I7 PIKFYVE
P31751 AKT2
P35613 BSG
Q99720 SIGMAR1
Q16774 GUK1
P27823 PGA5
P27824 CANX
P09651 HNRNPA1
P42684 ABL2
Q4KMQ2 ANO6
O15393 TMPRSS2
P09958 FURIN
P07711 CTSL
P01031 C5
P78536 ADAM17
P31749 AKT1
P51636 CAV2
P53779 MAPK10
P30530 AXL
Q9H2X3 CLEC4M
O76074 PDE5A
P68104 EEF1A1
Q02127 DHODH
P45983 MAPK8
P05121 SERPINE1
P06400 RB1
P26447 S100A4
P48506 GCLC
Q16236 NFE2L2
P40763 STAT3
P08670 VIM
P04040 CAT
P12830 CDH1
Q15910 EZH2
P35968 KDR
P28482 MAPK1
P27361 MAPK3
P04637 TP53
P15336 ATF2
P10415 BCL2
P11802 CDK4
P10145 CXCL8
P20711 DDC
P49327 FASN
P00441 SOD1
P01375 TNF
P13500 CCL2
P29279 CCN2
Q9NSE2 CISH
P19875 CXCL2
P11712 CYP2C9
P08684 CYP3A4
P08246 ELANE
P17948 FLT1
P02751 FN1
P01100 FOS
P24298 GPT
P08721 SPP1
P15692 VEGFA
P05231 IL6
P42574 CASP3
P09601 HMOX1
Q14790 CASP8
P55957 BID
P05177 CYP1A2
P25445 FAS
P48023 FASLG
P05305 EDN1
P08253 MMP2
P14780 MMP9
P05164 MPO
P16284 PECAM1
P37231 PPARG
P04049 RAF1
P59594 ACE2
Q16665 HIF1A
P01137 TGFB1
Q14145 KEAP1
P13647 KRT5
O14733 MAP2K7
P45984 MAPK9
P01024 C3
P60842 EIF4A1
P00390 GSR
P00738 HP
P05412 JUN
P49841 GSK3B
P01033 TIMP1
P19320 VCAM1

2.6. Organizing Enrichment Analysis

We performed organizational analysis via the DAVID platform [21], analysis of Xiyanping injection Vina scores of higher HSP90AA1, CAT gene target and compound III Vina score of higher TNF, and FOS gene target and observed the relationship between genes and tissues, using the Human eFP Browser platform [26].

3. Results

3.1. Screening of Active Compounds

We obtained the chemical structure of andrographolide-sulfonate: Xiyanping injection, I, II, III, IV, and V through a patent application for Jiangxi Qingfeng Pharmaceuticals [27]. The DrugBank Platform has similar andrographolide Chinese injections: Yanhuning injection compounds: VI and VII; Chuanhuning injection compounds: VIII and IX (Figure 2).

Figure 2.

Figure 2

The structure of the compound.

3.2. Target Gene Network Analysis

D3Targets-2019-nCoV platform database [14] was used to collect 34 human genes. The 1812 human genes associated with COVID-19 in the DisGeNET platform [16] were intersected with 150 Homo sapiens target genes in the CTD platform [15]. For andrographolide, 60 genes (Figure 3) were collected through the Venny 2.1 platform. The genetic results of the D3Targets-2019-nCoV platform [14] were combined to obtain 93 genes (Table 1, Figure 4). We standardized the 93 target genes obtained with the UniProt platform [17]. By analyzing 93 genes through the String platform [18], the number of nodes of the network graph was 93, 1174 edges, and the PPI rich P-value: <1.0e − 16, which is considered to have strong biological significance. The target PPI network was built using the Cytoscape 3.8.2 platform [19], in which 89 gene nodes were associated, average degree value of 26.38. The circle is the target gene, and the base color with the degree value less than the average value is yellow, and the larger the degree value is, the closer it is to green and the larger the shape is (Figure 5). The top 20 degree values in the PPI network diagram are used as the core targets, in which 20 targets, such as target AKT1 (Degree: 75.0), TP53 (Degree: 65.0), and TNF (Degree: 64.0), are all greater than the average of 1.5 times. These targets are considered to be the main target points for the anti-COVID-19 by the andrographolide drugs (Table 2).

Figure 3.

Figure 3

60 genes.

Figure 4.

Figure 4

93 genes.

Figure 5.

Figure 5

The PPI networks for 89 genes.

Table 2.

The top 20 genes for the degree value.

PDB ID Target gene Degree UniProt ID Protein name
6CCY AKT1 75 P31749 RAC-alpha serine/threonine-protein kinase
4KVP TP53 65 P04637 Cellular tumor antigen p53
4TWT TNF 64 P01375 Tumor necrosis factor
4ZS7 IL6 62 P05231 Interleukin-6
6CKZ CASP3 61 P42574 Caspase-3
6D3O VEGFA 59 P15692 Vascular endothelial growth factor A
6QHD STAT3 58 P40763 Signal transducer and activator of transcription 3
6MFA JUN 57 P05412 Transcription factor AP-1
5J6Z FN1 55 P02751 Fibronectin
2OW1 MMP9 54 P14780 Matrix metalloproteinase-9
6GES MAPK3 51 P27361 Mitogen-activated protein kinase 3
4H6J HIF1A 51 Q16665 Hypoxia-inducible factor 1-alpha
2O72 CDH1 49 P12830 Cadherin-1
2VV1 PPARG 49 P37231 Peroxisome proliferator-activated receptor gamma
4U93 HSP90AA1 47 P07900 Heat shock protein HSP 90-alpha
3IFD CCL2 46 P13500 C-C motif chemokine 2
5D14 CXCL8 46 P10145 Interleukin-8
1CK7 MMP2 44 P08253 72 kDa type IV collagenase
7P8W CAT 43 P04040 Catalase
1FOS FOS 41 P01100 FOS G0S7

3.3. GO and KEGG Signal Path Enrichment Analysis

GO Enrichment 2343 items through the Metascape platform, which can be clustered into five items by their target properties (Figure 6). The most significant category of items is the mitogen-activated protein kinase MAPK family (MAPK1, MAPK2, MAPK8, etc.), which has the function of regulating cell growth, differentiation, stress adaptation to the environment, inflammatory response, and other important cellular physiological and pathological processes [28]. Studies have also shown an unexpected mechanical link between MAPK signals and inflammatory network control during reprogramming caused by tumor therapy [29]. As can be seen from (Table 3), Cytokine Signaling in Immune system, Nanomaterial induced apoptosis, and PID HIV NEF PATHWAY may be Xiyanping injection anti-SARS-CoV-2 important biologic processes. In total, there are1599 GO biofunctions, of which 1447 are biological processes (BP), 61 are cell compositions (CC), and 91 are molecular functions (MF) (Figures 7(a), 7(b)). Most of the top 20 GO features are related to the reaction of response to an inorganic substance, cellular response to chemical stress, response to oxidative stress, and response to reactive oxygen species. We obtained 291 KEGG path enrichment features (Figures 8(a), 8(b)): 218 were related to infection and other diseases and 73 signaling pathways are mostly related to inflammation and immune pathways. Enriched by the DAVID platform [21] to 107 KEGG results, 47 correspond to a variety of diseases such as Hepatitis B, Chagas disease (American trypanosomiasis), colorectal cancer, and influenza A, tubeless. There are 60 pathways, the first three of which are TNF signaling pathways, the Toll-like receptor signaling pathway, and the HIF-1 signaling pathway, most of which are related to immune and inflammatory pathways, and we concluded that injection may be anti-SARS-CoV-2 through inflammation and immune pathways. Showing the TNF pathway (Figure 9), the sunflower represents Xiyanping injection, and the three arrows represent inhibition, dual-directional regulation, and active.

Figure 6.

Figure 6

The targets analysis.

Table 3.

Network and annotation.

Network Annotation
MyList hsa05161|Hepatitis B|−41.7; R-HSA-1280215|Cytokine Signaling in Immune system|−39.3; ko04933|AGE-RAGE signaling pathway in diabetic complications|−38.8
MyList_MCODE_ALL hsa05161|Hepatitis B|−47.8; hsa05200|Pathways in cancer |−46.3; WP4666|Hepatitis B infection|−42.3
MyList_SUB1_MCODE_1 hsa05161|Hepatitis B|−22.8; hsa05200|Pathways in cancer |−20.8; ko04933|AGE-RAGE signaling pathway in diabetic complications|−20.5
MyList_SUB1_MCODE_2 hsa05200|Pathways in cancer|−24.0; hsa05161|Hepatitis B|−23.3; ko05212|Pancreatic cancer|−22.9
MyList_SUB1_MCODE_3 R-HSA-194315|Signaling by Rho GTPases|−3.5; R-HSA-1280215|Cytokine Signaling in Immune system|−3.5; R-HSA-9716542|Signaling by Rho GTPases, Miro GTPases, and RHOBTB3|−3.5
MyList_SUB1_MCODE_4 R-HSA-1280215|Cytokine Signaling in Immune system|−4.2
MyList_SUB1_MCODE_5 WP384|Apoptosis modulation by HSP70|−9.6; WP2507|Nanomaterial induced apoptosis|−9.5; M197|PID HIV NEF PATHWAY|−8.8

Figure 7.

Figure 7

(a) GO color by cluster; (b) GO color by p-value.

Figure 8.

Figure 8

(a) KEGG color by cluster; (b) KEGG color by cluster.

Figure 9.

Figure 9

TNF pathway.

3.4. Analysis of Molecular Docking Results

It is generally believed that the smaller the binding energy of the ligand to the receptor, the greater the likelihood of its interaction and the easier the binding [30]. Andrographolide sulfonates include the following: Xiyanping injection, compound I, compound II, compound III, compound IV, and compound V; Yanhuning injection: VI and VII; Chuanhuning injection: VIII and IX. The degree value of the top 20 target proteins (Table 2) was selected for molecular docking with the above compounds. As can be seen from the molecular docking results, the binding energy of the target compound with the 20 target protein macromolecules is less than −5.0 k·J/mol [25]. Studies suggest that these ingredients may have anti-SARS-CoV-2 effects [2], and the results indicate that compounds III and Xiyanping injection have a good binding ability with target proteins. See heatmap for molecular docking binding energy (Figure 10). Colors range from red to blue. The bluer the color, the smaller the binding energy, the stronger the binding ability, and the better the docking results. Xiyanping injection and gene: HSP90AA1 (target protein: 3U93) has the highest Vina score of −9.7, Xiyanping injection, and HSP90AA1 (target protein: 3U93) docking mode (Figure 11).

Figure 10.

Figure 10

Binding energy heatmap of some compounds with a target protein.

Figure 11.

Figure 11

Xiyanping injection in combination with HSP90AA1.

3.5. Organizing Enrichment Analysis

The differential expression of 93 gene targets in human tissue was analyzed using DAVID platform [21] Tissue Enrichment. As can be seen from (Figure 12), the redder the P-value circle, the greater the enrichment value, and the larger the count circle shape, the more enriched the gene. It can be seen that in tissues, placenta, liver, epithelial, lung, and other common target expressions are significant, of which the number of lung targets is 22. Among them, the results of molecular docking show that the high scores of Xiyanping injection Vina are HSP90AA1 and CAT gene target, and TNF and FOS gene target have higher compound III Vina scores. The expression of the above four genes in the respiratory and circulatory system was analyzed by the Human eFP Browser platform [26], and the distribution and absoluteness of the genes in the human body were analyzed (Figures 1316). The higher the absolute, the redder the color, and the higher the gene expression. Human HSP90AA1 and other targets are believed to be effective potential therapeutics.

Figure 12.

Figure 12

Organizational enrichment differences.

Figure 13.

Figure 13

Expression of HSP90AA1 in the human respiratory and circulatory system.

Figure 14.

Figure 14

Expression of CAT in the human respiratory and circulatory system.

Figure 15.

Figure 15

Expression of TNF in the human respiratory and circulatory system.

Figure 16.

Figure 16

Expression of FOS in the human respiratory and circulatory system.

4. Discussion

According to the clinical trials of Zhang XY, Lv L, and Zhou YL, it can be proved that Xiyanping has the effect of treating COVID-19 [31]. Zhang XY, Lv L, Zhou YL, and others recruited 130 consecutive COVID-19 patients with mild-to-moderate symptoms from five research sites and randomly assigned them to receive Xiyanping injection combined with standard treatment or standard support treatment alone at a 1 : 1 ratio. The results showed that Xiyanping injection significantly reduced the time of cough relief, fever regression, and virus clearance. No serious adverse events were reported during the study. The above clinical trials can prove that Xiyanping has the effect of treating COVID-19, which is worthy of clinical promotion.

The main component of Xiyanping injection is andrographolide, which is the main effective component of the natural plant Andrographis paniculata. It has the effects of dispelling heat and detoxification, anti-inflammatory, and analgesic. It has special effects on bacterial and viral upper respiratory tract infections and dysentery and is known as a natural antibiotic drug [32]. In clinical application of the product, its side effects are small. The median lethal dose of alcohol extracts of Andrographis paniculata in mice was 13.19 g/kg (calculated by andrographolide). The modern injection has adverse reactions because it directly enters the internal circulation without passing through the liver metabolism of the digestive system. The adverse reactions of andrographolide injections—Yanhuning injection and Chuanhuning injections—are more serious; therefore, they should be used with caution in children. China's National Medical Products Administration has reported security issues with Yanhuning injection/Chuanhuning injection and noted that Yanhuning injection/Chuanhuning injection was used cautiously for children [33]. In the consensus of experts on the clinical application of Xiyanping injection (Child Edition) in 2019, experts believed that Xiyanping injection can be used in children and has good clinical efficacy [1]. Xiyanping injection was recommended by multiple pediatric diseases guidelines/consensuses, and the adverse reactions were much smaller than those of similar drugs. In 2010, Xiyanping injection was recommended in the new editions of Hand, Foot and Mouth Disease Diagnosis and Treatment Guidelines, Influenza A (H1N1) Diagnosis and Treatment Programme, and Fever with Thrombocytopenia Prevention and Treatment Guidelines issued by the Ministry of Health (Table 4).

Table 4.

Xiyanping injection has been included in the guide/expert consensus list.

Serial number Guideline/expert consensus name Release year Guidelines/expert consensus/formulation bodies
1 Hand-foot-mouth disease diagnosis and treatment guidelines (2010 edition) 2010 National Health Commission of the People's Republic of China
2 Guidelines for the diagnosis and treatment of viral pneumonia in children in TCM 2011 World Federation of Chinese Medicine societies
3 Expert consensus on integrated traditional Chinese and Western medicine treatment of acute fever in children 2011 Ma Rong, Wang Xuefeng, etc.
4 Guideline for clinical diagnosis and treatment of pediatrics of traditional Chinese medicine hand-foot-mouth disease (revised) 2016 China Association of Chinese Medicine
5 Clinical Diagnosis and Treatment Guidelines for Pediatrics of Traditional Chinese Medicine · Varicella (Revised) 2016 China Association of Chinese Medicine
6 Chinese medicine pediatric clinical diagnosis and treatment guidelines bacillary dysentery (formulation) 2017 China association of Chinese medicine
7 Expert Consensus on Diagnosis and Treatment of Mycoplasma Pneumoniae Pneumonia in Children by Integrated Traditional Chinese and Western Medicine (2017) 2017 China Association of Chinese Medicine of Pediatric Pneumonia Alliance
8 Expert Consensus on Clinical Application of Xiyanping Injection (for Children) 2019 Institute of Basic Research In Clinical Medicine/China Academy Of Chinese Medical Sciences
9 The new diagnosis and treatment scheme for coronavirus pneumonia (trial version 4) 2020 National Health Commission of the People's Republic of China / National Administration of Traditional Chinese Medicine
10 The new diagnosis and treatment scheme for coronavirus pneumonia (trial version 5) 2020 National Health Commission of the People's Republic of China/National Administration of Traditional Chinese Medicine
11 The new diagnosis and treatment scheme for coronavirus pneumonia (trial version 6) 2020 National Health Commission of the People's Republic of China/National Administration of Traditional Chinese Medicine
12 The diagnosis and treatment scheme of new coronavirus pneumonia (trial version 7) 2020 National Health Commission of the People's Republic of China/National Administration of Traditional Chinese Medicine
13 New coronavirus pneumonia diagnosis and treatment plan (trial version 8) 2020 National Health Commission of the People's Republic of China/National Administration of Traditional Chinese Medicine

Excessive TNF can cause tissue damage, which is one of the core cytokines of an “inflammatory storm” caused by infection. TNF can induce cells to release cytokines, but in some cases, it can also induce apoptosis or programmed cell necrosis [34]. After Xiyanping injection enters the patient, its anti-inflammatory effect may be related to the TNF pathway, triggering many TNF pathway reactions: inhibiting TNFR1 and TNFR2 in the TNF pathway. At the same time, Xiyanping injection can regulate Caspase-3 and Caspase-8 in the Caspase family involved in the TNF pathway and mediate cell apoptosis. The activation of NFB JNK protein kinase-mediated by TRAF is inhibited by Xiyanping injection. Xiyanping injection inhibits the extracellular MAPK inflammatory pathway (inhibition of MAPK1, MAPK3, inhibition of MAP production), inhibits NF-κB and other pathways in the nucleus through various pathways, inhibits the release of various inflammatory factors, and plays a role in the treatment of COVID-19.

Target gene HSP90AA1: HSP90AA1 is an important regulator of inflammation because HSP90AA1 is currently understood as an extracellular agent secreted in wound healing and inflammation. Extracellular HSP90 + induces inflammation by activating NF-κB (RELA) and STAT3 transcription procedures, including proinflammatory cytokines IL-6 and IL-8 [35]. In addition, it has an intracellular anticancer effect and induces autophagy. The anti-inflammatory mechanism of Xiyanping injection may be highly related to this target.

Target gene CAT: CAT gene occurs in almost all aerobic breathing organisms, which helps protect cells from the toxic effects of hydrogen peroxide. It promotes cell growth, including T cells, B cells, bone marrow leukemia cells, melanoma cells, breast cells, and normal and transformed fibroblasts [36]; Xiyanping injection may act on this target, anti-inflammatory effect.

Target gene TNF: TNF gene induces VEGF production by cooperating with IL1B and IL6 [37], plays an anti-inflammatory role, and plays a role in angiogenesis.

Target gene FOS: FOS is considered to play an important role in signal transduction, cell proliferation, and cell differentiation. In growth cells, phospholipid synthesis may be activated by CDS1 and PI4K2A [38]. This activity requires Tyr dephosphorization and association with the endoplasmic retina [38].

From the molecular docking Vina data, it was found that the overall score of compound III was better than that of Xiyanping injection. This also indicates the possibility of a potential new drug, with compound III having better water solubility than Xiyanping injection.

5. Conclusions

In this study, through network pharmacology, molecular docking, target analysis, and tissue analysis, it can be concluded that Xiyanping injection and andrographolide sulfonates such as compound III in the treatment of COVID-19 mainly act on HSP90AA1, CAT, TNF, FOS, and other targets. At the same time, Xiyanping injection inhibits the release of a variety of inflammatory factors by inhibiting intracellular MAPK, TNF, and other pathways and inhibiting NF-κB and other pathways in the nucleus, thus playing a role in the treatment of COVID-19. Compound III is a potential new drug for the treatment of COVID-19. Xiyanping injection can achieve a therapeutic effect in patients with infectious pneumonia, which is in line with the “Chinese Association of Traditional Chinese Medicine Expert Consensus (literature reports)” [1] conclusion. In summary, Xiyanping injection is effective and safe in treating COVID-19, which is an important method for the treatment of COVID-19 in integrative medicine. The clinical practice and popularization and application are of far-reaching significance.

Acknowledgments

All the authors of the manuscript are immensely grateful to their respective universities and institutes for their technical assistance and valuable support in the completion of this research project. This research was partially supported by grants from the National Natural Science Foundation of China (81760698), the Seventh Batch of Yunnan Specialty Plant Polysaccharide Engineering Research Center Construction Plan ([2019]-57), the General Project of the Department of Science and Technology of Yunnan Province (202001BA070001-041), and the Administration of Traditional Chinese Medicine of Sichuan Province (2020JC0086).

Data Availability

All data used to support the findings of the study are included within the article.

Conflicts of Interest

No potential conflicts of interest were reported by the authors.

References

  • 1.Wang Z. F., Rong P., Ma R., et al. Experts consensus statement on Xiyanping Injection in clinical practice(children) Zhongguo Zhongyao Zazhi . 2019;44(14):2932–2936. doi: 10.19540/j.cnki.cjcmm.20190521.502. [DOI] [PubMed] [Google Scholar]
  • 2.National Health Commission National Administration of Traditional Chinese Medicine. Diagnosis and treatment of new coronavirus pneumonia (trial sixth edition) Chinese Journal of Viral Diseases . 2020;10:81–85. [Google Scholar]
  • 3.Wang Z. F., Chen X., Zhang W., Xie Y. M. Literature review on premarketing and postmarketing evidence of xiyanping injection. Zhongguo Zhongyao Zazhi . 2014;39(18):3637–3640. [PubMed] [Google Scholar]
  • 4.Zumla A., Chan J. F. W., Azhar E. I., Hui D. S. C., Yuen K. Y. Coronaviruses-drug discovery and therapeutic options. Nature Reviews Drug Discovery . 2016;15(5):327–347. doi: 10.1038/nrd.2015.37. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Ye X. W., Deng Y. L., Zhang X., et al. Study on the mechanism of treating COVID-19 with shenqi wan based on network pharmacology. Drug Development and Industrial Pharmacy . 2021;4:1–22. doi: 10.1080/03639045.2021.1989453. [DOI] [PubMed] [Google Scholar]
  • 6.Wiersinga W. J., Rhodes A., Cheng A. C., Peacock S. J., Prescott H. C. Pathophysiology, transmission, Diagnosis, and treatment of coronavirus disease 2019 (COVID-19): a review. JAMA . 2020;324(8):p. 782. doi: 10.1001/jama.2020.12839. [DOI] [PubMed] [Google Scholar]
  • 7.Fu L., Wang B., Yuan T., et al. Clinical characteristics of coronavirus disease 2019 (COVID-19) in China: a systematic review and meta-analysis. Journal of Infection . 2020;80(6):656–665. doi: 10.1016/j.jinf.2020.03.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Ye X. W., Deng Y. L., Xia L. T., Ren H., Zhang J. Uncovering the mechanism of the effects of paeoniae radix alba on iron-deficiency anaemia through a network pharmacology-based strategy. BMC Complement Med Ther . 2020 28;20(1):p. 130. doi: 10.1186/s12906-020-02925-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Deng Y., Ye X., Chen Y., et al. Chemical characteristics of platycodon grandiflorum and its mechanism in lung cancer treatment. Frontiers in Pharmacology . 2020;11 doi: 10.3389/fphar.2020.609825.609825 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Diagnosis and treatment protocol for novel coronavirus pneumonia (trial version 7) Chinese Medical Journal . 2020;133(9):1087–1095. doi: 10.1097/CM9.0000000000000819. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Li X., Wang C., Zhang B., Yang B. Editorial for the special issue on COVID-19. Engineering (Beijing) . 2020;6(10):1057–1060. doi: 10.1016/j.eng.2020.09.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Probst D., Reymond J. L. Exploring drugbank in virtual reality chemical space. Journal of Chemical Information and Modeling . 2018;58(9):1731–1735. doi: 10.1021/acs.jcim.8b00402. [DOI] [PubMed] [Google Scholar]
  • 13.Li Z., Wan H., Shi Y., Ouyang P. Personal experience with four kinds of chemical structure drawing software: review on ChemDraw, ChemWindow, ISIS/Draw, and ChemSketch. Journal of Chemical Information and Computer Sciences . 2004;44(5):1886–1890. doi: 10.1021/ci049794h. [DOI] [PubMed] [Google Scholar]
  • 14.Shi Y., Zhang X., Mu K., et al. D3Targets-2019-nCoV: a webserver for predicting drug targets and for multi-target and multi-site based virtual screening against COVID-19. Acta Pharmaceutica Sinica B . 2020;10(7):1239–1248. doi: 10.1016/j.apsb.2020.04.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Davis A. P., Grondin C. J., Johnson R. J., et al. Comparative toxicogenomics database (CTD): update 2021. Nucleic Acids Research . 2021;49(D1):D1138–D1143. doi: 10.1093/nar/gkaa891. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Piñero J., Bravo À., Queralt-Rosinach N., et al. DisGeNET: a comprehensive platform integrating information on human disease-associated genes and variants. Nucleic Acids Research . 2017;45(D1):D833–D839. doi: 10.1093/nar/gkw943. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.UniProt Consortium. UniProt: the universal protein knowledgebase in 2021. Nucleic Acids Research . 2021;49(D1):D480–D489. doi: 10.1093/nar/gkaa1100. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.von Mering C., Jensen L. J., Snel B., et al. STRING: known and predicted protein-protein associations, integrated and transferred across organisms. Nucleic Acids Research . 2004;33:D433–D437. doi: 10.1093/nar/gki005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Shannon P., Markiel A., Ozier O., et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Research . 2003;13(11):2498–2504. doi: 10.1101/gr.1239303. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Zhou Y., Zhou B., Pache L., et al. Metascape provides a biologist-oriented resource for the analysis of systems-level datasets. Nature Communications . 2019;10(1):p. 1523. doi: 10.1038/s41467-019-09234-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Huang D. W., Sherman B. T., Lempicki R. A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nature Protocols . 2009;4(1):44–57. doi: 10.1038/nprot.2008.211. [DOI] [PubMed] [Google Scholar]
  • 22.Burley S. K., Berman H. M., Kleywegt G. J., Markley J. L., Nakamura H., Velankar S. Protein data bank (PDB): the single global macromolecular structure archive. Methods in Molecular Biology . 2017;1607:627–641. doi: 10.1007/978-1-4939-7000-1_26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Raman E. P., Paul T. J., Hayes R. L., Brooks C. L. Automated, accurate, and scalable relative protein-ligand binding free-energy calculations using lambda dynamics. Journal of Chemical Theory and Computation . 2020;16(12):7895–7914. doi: 10.1021/acs.jctc.0c00830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Liu Y., Grimm M., Dai W. T., Hou Mc., Xiao Z. X., Cao Y. CB-Dock: a web server for cavity detection-guided protein-ligand blind docking. Acta Pharmacologica Sinica . 2020;41(1):138–144. doi: 10.1038/s41401-019-0228-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Chen Y. C. Beware of docking. Trends in Pharmacological Sciences . 2015;36(2):78–95. doi: 10.1016/j.tips.2014.12.001. [DOI] [PubMed] [Google Scholar]
  • 26.Patel R. V., Hamanishi E. T., Provart N. J. A human “eFP” browser for generating gene expression anatograms. PLoS One . 2016;11(3) doi: 10.1371/journal.pone.0150982.e0150982 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Tang C., Ye W., Hu Y., Yang X. Sulfonated derivative of andrographolide and combination of medication. China Unexamined Application. Open to Public Inspection CN20051038561 . 2005 [Google Scholar]
  • 28.Burotto M., Chiou V. L., Lee J. M., Kohn E. C. The MAPK pathway across different malignancies: a new perspective. Cancer . 2014;120(22):3446–3456. doi: 10.1002/cncr.28864. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Brägelmann J., Lorenz C., Borchmann S., et al. MAPK-pathway inhibition mediates inflammatory reprogramming and sensitizes tumors to targeted activation of innate immunity sensor RIG-I. Nature Communications . 2021;12(1):p. 5505. doi: 10.1038/s41467-021-25728-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Pinzi L., Rastelli G. Molecular docking: shifting paradigms in drug discovery. International Journal of Molecular Sciences . 2019;20(18):p. 4331. doi: 10.3390/ijms20184331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zhang X. Y., Lv L., Zhou Y. L., et al. Efficacy and safety of Xiyanping injection in the treatment of COVID-19: a multicenter, prospective, open-label and randomized controlled trial. Phytotherapy Research . 2021;35(8):4401–4410. doi: 10.1002/ptr.7141. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Kandanur S. G. S., Tamang N., Golakoti N. R., Nanduri S. Andrographolide: a natural product template for the generation of structurally and biologically diverse diterpenes. European Journal of Medicinal Chemistry . 2019;176:513–533. doi: 10.1016/j.ejmech.2019.05.022. [DOI] [PubMed] [Google Scholar]
  • 33.National Medical Products Administration. Adverse drug reaction information circular (No. 23) concerned about the safety of Chuanhuning injection and Yanhuning injection. https://www.nmpa.gov.cn/xxgk/yjjsh/ypblfytb/20090901120001886.html .
  • 34.Zhang R., Xue T., Shao A., et al. Bclaf1 regulates c-FLIP expression and protects cells from TNF-induced apoptosis and tissue injury. EMBO Reports . 2022;23(1) doi: 10.15252/embr.202152702.e52702 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Bohonowych J. E., Hance M. W., Nolan K. D., Defee M., Parsons C., Isaacs J. Extracellular Hsp90 mediates an NF-κB dependent inflammatory stromal program: implications for the prostate tumor microenvironment. The Prostate . 2014;74(4):395–407. doi: 10.1002/pros.22761. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Takeuchi A., Miyamoto T., Yamaji K., et al. A human erythrocyte-derived growth-promoting factor with a wide target cell spectrum: identification as catalase. Cancer Research . 1995;55(7):1586–1589. [PubMed] [Google Scholar]
  • 37.Nakahara H., Song J., Sugimoto M., et al. Anti-interleukin-6 receptor antibody therapy reduces vascular endothelial growth factor production in rheumatoid arthritis. Arthritis & Rheumatism . 2003;48(6):1521–1529. doi: 10.1002/art.11143. [DOI] [PubMed] [Google Scholar]
  • 38.Bossis G., Malnou C. E., Farras R., et al. Down-regulation of c-Fos/c-Jun AP-1 dimer activity by sumoylation. Molecular and Cellular Biology . 2005;25(16):6964–6979. doi: 10.1128/mcb.25.16.6964-6979.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

All data used to support the findings of the study are included within the article.


Articles from Evidence-based Complementary and Alternative Medicine : eCAM are provided here courtesy of Wiley

RESOURCES