Modern technology-based exploration of mechanism of traditional Chinese medicine in prevention and treatment of gastric cancer

This review comments on the article“To explore the mechanism of Yigong San anti-gastric cancer and immune regulation”.We are interested that the article applied network pharmacology and bioinformatics techniques to elucidate the mechanism of action of Yigong Sang,a traditional Chinese medicine(TCM),in the treatment of gastric cancer(GC).The mechanism of action of Yigong Sang in the treatment of GC has not yet been elucidated because it is composed of multiple Chinese medicines with multiple components and multiple targets.The emergence of network pharmacology and bioinformatics analysis helps explain the mechanism of action of TCM in preventing and treating GC,and provides a possibility for TCM to transform from empirical to evidence-based medicine.This is of great significance for the application of TCM in oncology,new drug development,formula optimization,and the improvement of clinical efficacy.

Mechanism of traditional Chinese medicine in the treatment of psoriasis with depression:A review

Psoriasis is a kind of immune-mediated, chronic, inflammatory skin disease, which is often associated with different degrees of psychological disorders. Specifically, there is a significant correlation between psoriasis and depression, and they show the relationships of reciprocal causation and mutual promotion. Psoriasis with depression is more harmful than simple psoriasis, and its prognosis is worse, which brings a huge burden to the family and society and is worthy of clinical attention. Based on the pathogenic factors of western medicine and pathogenesis of traditional Chinese medicine in psoriasis with depression, the paper summarized and elaborated the research progress on the mechanism of traditional Chinese medicine in the treatment of psoriasis with depression, in order to provide new ideas for clinical treatment.

Research progress of traditional Chinese medicine in the treatment of endocrine metabolic diseases in 2023

This study aimed to provide a comprehensive review of the research progress in Chinese medicine in the treatment of endocrine metabolic diseases in 2023,covering traditional Chinese medicine(TCM)monomers,TCM extracts,and TCM combinations,including non-alcoholic fatty liver disease,type 2 diabetes mellitus and its complications,obesity,hyperuricaemia,and thyroid disorders.After systematic sorting and summary,we found that in 2023,the research focusing on the application of TCM for endocrine metabolic diseases was still on the mechanism of action at the cellular and molecular levels,which not only influenced the classical pathways of lipid metabolism,but also delved into the key mechanisms of anti-inflammation,anti-oxidation,anti-insulin resistance,and so on.Additionally,TCM has shown remarkable results in the treatment of endocrine metabolic diseases by improving intestinal flora disorders and abnormal cellular iron death.These research results provide valuable ideas,methods,and tools for TCM in the prevention and treatment of endocrine metabolic diseases,and provide important references and guidance for future research and practice.

Analysis on the medication rules and mechanisms of action of traditional Chinese medicine in treating cervical cancer

Objective: To summarize the rule of application of traditional Chinese medicine (TCM) in the prevention and treatment of cervical cancer, and to explore the molecular mechanism of the compatibility of core herbs. Methods: Collect relevant literatures on cervical cancer in Chinese National Knowledgey Ifrastructure (CNKI), use TCM inheritance platform system (TCMISSV2.5) for association rules and complex system entropy clustering analysis;use BATMAN-TCM online analysis tools to construct target-pathway-disease network to reveal the underlying mechanisms of action. Results: Among the 78 prescriptions selected, a total of 172 Chinese medicines were used, and the five most frequently used herbs were Huang-bo (Phellodendri Chinrnsis Cortex), Fu-ling (Poria Cocos), Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Gan-cao (Licorice). Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Huang-qi (Hedysarum Multijugum Maxim.), Bai-hua-she-she-cao (Hedyotis Diffusae Herba) and Fu-ling (Poria Cocos), Bai-zhu (Atractylodes Macrocephala Koidz.) and Fu-ling (Poria Cocos) are the three most commonly used medicine match. In addition, through cluster analysis, a total of 4 core herbs compatibility and 2 new prescriptions were excavated. Herbs in the new prescriptions which are used to clearing heat-toxin and removing dampness were most frequently used. Through the analysis of the signal pathway of high frequency Chinese medicines, we found that neuroactive ligand-receptor interaction pathway may play important roles. Conclusion: The core Chinese medicines for the prevention and treatment of cervical cancer are mainly clearing heat-toxin and removing dampness. The core Chinese medicines may play their anti-cervical cancer by interfering with the neuroactive ligand-receptor interaction signaling pathway.

Prediction of the mechanism of prostate prescription Ⅰ in the treatment of chronic prostatitis based on integrative pharmacology of traditional Chinese medicine

Objective:To investigate potential mechanism of Prostate prescriptionⅠin the treatment of chronic prostatitis based on integrated pharmacology.Methods:with the help of TCMIP,the effective compounds of Prostate prescriptionⅠwere screened,and the potential target database of Prostate prescriptionⅠwas established by using the target prediction function of TCMIP.Based on the Human Phenotype Ontology database and protein interaction network(PPI)database,the disease target of CP was identified and the target interaction network was constructed;Through the GO function analysis and KEGG pathway enrichment analysis of the candidate targets,combined with Chinese and foreign literature studies to predict the potential Signaling pathway of Prostate prescriptionⅠin the treatment of CP.Results:79 effective compounds of Prostate prescriptionⅠexerted its effect on 33 targets through 11 pathways.Conclusion:Clinical efficacy of Prostate prescriptionⅠon CP may be reflected in antiinflammation and anti-tumor,cell metabolism,immune regulation,neuroregulation and so on.

Dissecting the underlying pharmaceutical mechanism of traditional Chinese medicine Wenxin Keli acting on atrial fibrillation through network pharmacology

As a well-known Chinese medicine prescription, Wenxin Keli (WXKL) has been widely used in the treatment of many arrhythmias including atrial fibrillation and has achieved significant clinical effects, but the specific mechanism of its treatment of atrial fibrillation remains unclear. This study used a network pharmacology approach to reveal the potential molecular mechanisms of WXKL in the treatment of atrial fibrillation. It involves oral bioavailability screening of ingredients, drug-likeness evaluation, compound target fishing, H-C-T network and C-T-P network construction and analysis. Through the network pharmacology-based research strategy, the complex system of WXKL was analyzed. It was found that 14 representative compounds of WXKL, 30 protein targets and 12 related signaling pathways help us systematically understand the underlying mechanism of WXKL’s anti-atrial fibrillation effects.

Research Progress in the Application of Network Pharmacology in Traditional Chinese Medicine and Compound Prescriptions

Network pharmacology is a new discipline based on the theory of systems biology,mainly for network analysis of biological systems.It selects specific signal nodes for multi-target drug molecular design.This article summarizes the application of network pharmacology in traditional Chinese medicine and compound prescriptions in recent years from the research progress of network pharmacology,the current research status of single herbs,and the research and application of compound prescriptions.

Traditional Chinese medicine for transformation of gastric precancerous lesions to gastric cancer:A critical review

Gastric cancer(GC)is a common gastrointestinal tumor.Gastric precancerous lesions(GPL)are the last pathological stage before normal gastric mucosa transforms into GC.However,preventing the transformation from GPL to GC remains a challenge.Traditional Chinese medicine(TCM)has been used to treat gastric disease for millennia.A series of TCM formulas and active compounds have shown therapeutic effects in both GC and GPL.This article reviews recent progress on the herbal drugs and pharmacological mechanisms of TCM in preventing the transformation from GPL to GC,especially focusing on antiinflammatory,anti-angiogenesis,proliferation,and apoptosis.This review may provide a meaningful reference for the prevention of the transformation from GPL to GC using TCM.

The advances of traditional Chinese medicine in the treatment of liver diseases in 2019

Background:Currently,the treatment of liver diseases remains an unsolved problem due to its complicated etiology and pathogenesis.Traditional Chinese medicine(TCM)has been used for liver disease treatment for thousands of years.Disease treatment using TCM compounds conforms to the concept of“holism”,which coincides with the complicated pathogenic mechanisms of liver diseases.However,the mechanisms have not been clearly explained due to the complex components and multi-targets,which is a big obstacle TCM’s popularity and application.In recent years,studying the mechanisms and identifying the novel ingredients in herbal medicines are becoming a hot spot for many researchers.Therefore,we obtained literature in PubMed and summarized the progress of TCM’s active ingredients and formulas in treating various liver diseases in 2019.Based on the literature,flavonoids,polysaccharides,saponins,and alkaloids,as well as Chinese medicine formulas,such as Ba-Bao pill and Yin-Chen-Hao decoction,have attracted much attention.In addition,we also focused on the application of new omics analysis techniques,such as metabolomics,network pharmacology,and other omics analyses in the study of TCM formulas.

A comprehensive review of research progress in Chinese medicines for primary liver cancer treatment

Primary liver cancer seriously threatens human health,affects the quality of life,and has a high mortality rate.Traditional Chinese medicine(TCM)has long been used in the prevention,treatment,and adjuvant treatment of primary liver cancer.Clinical trials were conducted in recent years to evaluate the efficacy and safety of TCM.The mechanism of action of TCM in primary liver cancer treatment also received extensive attention.This study summarizes the common monomial Chinese herbal medicines and their components,formulae,and the proprietary Chinese medicines used to treat primary liver cancer.Common medicines include Chansu(Bufonis venenum),Kushen(Sophorae flavescentis radix),Renshen(Ginseng radix et rhizoma),and Jianghuang(Curcumae longae rhizoma).This study also reviewed the literature on liver cancer treatment using TCM.The results confirmed the safety and efficacy of TCM in liver cancer treatment.The possible mechanisms involved are also listed,including influencing the cell cycle,inducing cancer cell apoptosis and autophagy,inhibiting cancer cell angiogenesis and metastasis,regenerating the microenvironment and DNA methylation,and regulating the innate immune response.For primary liver cancer patients who often have a long disease course,Chinese herbal medicine often plays a role in protecting and conditioning the body.Research aimed at finding more traditional Chinese herbal medicines and their mechanisms of action should be promoted.This study aimed to provide a scientific reference for further research and the rational clinical application of TCM for primary liver cancer treatment.

Research Status of Serum Pharmacology and Serum Pharmacochemistry of Traditional Chinese Medicine

Serum pharmacochemistry of traditional Chinese medicine has become a more accurate and rapidly developing reasonable way to analyze the effective material basis of traditional Chinese medicine in recent years. Through this method, we can select very complex Chinese medicine components and clarify the effective substances consistent with the main functions, and then separate and purify effective ingredients in traditional Chinese medicine, so as to explain the material basis of the drug effect and prove the rationality and principle of action of Chinese medicine compounds. It can show the multi-component and multi-target characteristic of traditional Chinese medicine, and after analyzing the migrating components of serum, we can explore the direct effective substances that act on the patient’s body, so as to accelerate and accurately complete the in-depth study of the effective substances of Chinese medicine.

Perspectives in application of biosensors for the modernization of traditional Chinese medicine

Biosensor is an instrument which is sensitive to biological material and converts its concentration into electrical signals.Organisms such as enzymes, antibodies, tissues, cells and so on can selectively identify specific substances. Thesemolecular recognition functions can be combined with the target, such as the binding of antibodies and antigens, and thebinding of enzymes to the substrate through the recognition process. Biosensor has the advantages of high specificity,high sensitivity, fast reaction speed, low cost and easy operation. It has wide application prospect in food, pharmacy,chemical industry, clinical examination, biomedicine, environmental monitoring and so on, especially as a newtechnology means, in the field of modern herbal medicine research influence. Studies have demonstrated that thebiosensing technology has been applied to, traditional Chinese medicine （TCM） targets, isolation and purification ofTCM, the mechanism of TCM, quality control of TCM, the active ingredients detection of TCM and other basicresearches. Biosensor technology has made an important contribution to the research of modern herbal medicine, and hasbecome a Hot-spot in future research.

Gaps and feasibility of fixed-dose combination strategy in the development of modern Chinese medicine

isTraditional Chinese medicine(TCM)is a highly complex chemical substance system,which not only reflected in the complexity of the chemical components and their interrelationships,but also in the intricacy of the prescription’s connection with the human body.Component compatibility strategy has been proposed for developing modern TCM since 2005 and established comprehensive relevant technologies and research approaches.Moreover,to meet the safety and efficacy of current pharmaceuticals,research on fixed-dose combination drugs is directed by modern scientific theories,conforms to TCM compatibility principles and clarifies material basis and pharmacological mechanisms and component-effect correlations.This review summarized gaps and feasibility of fixed-dose combination strategy in the development of modern TCM research and assessed their advantages and disadvantages in light of contemporary drug combination research practices.

A retrospective study on professor Gui-Qi Xuan’s experience in traditional Chinese medicine treatment on attention-deficit hyperactivity disorder: based on data mining and network pharmacology

Background:To investigate the clinical medication approach of Professor Guiqi Xuan(Prof.Xuan)in treating pediatric patients with attention-deficit hyperactivity disorder(ADHD)and the potential mechanism of the core herbal prescription.Methods:Following medical record information pretreatment,the Traditional Chinese Medicine(TCM)inheritance computing platform system V3.0 was utilized to analyze the standardized data.The associate rules were summarized to identify the core prescription for treating ADHD.The extracted core herbal prescription’s active compounds and potential targets were used to establish a protein-protein interaction network of active ingredient-disease targets.Cytoscape 3.9.1 software was used to analyze the network’s topological parameters to obtain the key active ingredients and their targets.The Bioconductor data package of R4.0.2 was used to analyze the gene ontology biological functions and Kyoto Encyclopedia of Genes and Genomes pathways of key targets.Results:Two hundred and twenty-seven entries derived from TCM record information were selected.Through data mining,it was found that 62.5%of pediatric patients had short-tempered behavior,nearly half had sleep problems,and 30%-40%had picky eating and polyphagia issues.The highest-frequency syndrome type was kidney deficiency and liver hyperactivity.Deficiency,fire,phlegm,and dyspeptic food were the main pathological factors for ADHD.Prof.Xuan’s treatment of ADHD mainly focused on replenishing kidney essence and subduing Yang(active,external,ascending,warm,bright,functional and excited pertain to Yang).The core herbal prescription for ADHD included Yuan-zhi,Yi-zhi,Gui-jia,Bai-shao,Long-chi,Ci-shi,Shi-chang-pu,Yu-jin,Fu-shen,and Huang-jing.The protein-protein interaction network showed that MAOA,ADRB2,FOS,MAOB,and SLC6A3 were the five key targets essential in treating ADHD with core herbal prescriptions.The gene ontology biological function of crucial targets mainly involved G protein-coupled amine receptor activity,catecholamine binding,and neurotransmitter transmembrane transporter activity.Analysis of Kyoto Encyclopedia of Genes and Genomes pathways showed that the dopaminergic synapse signaling and neuroactive ligand-receptor interaction pathways were significantly enriched and may be the primary routes for the main treatment of ADHD.Conclusion:Prof.Xuan’s treatment of ADHD has achieved satisfactory clinical effects by supplementing the kidney,replenishing the essence,opening the orifices,nourishing the Yin(static,internal,descending,cold,dim,organic,depressed and pertain to Yin),and subduing the Yang.The major prescription predominantly affects catecholamine binding,neuroactive ligand-receptor interaction,G protein-coupled amine receptor function,and signaling pathways for dopaminergic synapses.Our findings showed that the methodology and software used in this research could explore and analyze the mechanism behind Prof.Xuan’s clinical medication rule for treating ADHD in children.

Screening of Effective Traditional Chinese Medicine Monomer Compounds for the Treatment of Nonorganic Sleep Disorders Based on Network Pharmacology

[Objectives] To find effective monomer compounds of traditional Chinese medicine targeting nonorganic sleep disorders.[Methods] The reverse thinking of "target-compound" was adopted to search for effective traditional Chinese medicine monomer compounds that intervene in the core targets of nonorganic sleep disorders, and molecular docking technology was used to verify the traditional Chinese medicine monomer compounds that meet the expected goals.[Results] Based on the storm related targets of nonorganic sleep disorders, five monomer compounds of traditional Chinese medicine were screened, namely paeoniflorin, chlorogenic acid, quercetin, baicalin, and ginsenoside Rg1. These monomer compounds of traditional Chinese medicine act on multiple targets such as CASP8, IKBKB, IL1B, IL6, CXCL8, etc. , thereby playing a role in calming the mind and improving sleep.[Conclusions] These monomer compounds of traditional Chinese medicine had potential pharmacological effects on nonorganic sleep disorders and high value in subsequent experiments and clinical applications.

Biomechanical analysis of optic nerve injury treated by compound light granules and ciliary neurotrophic factor

In this study, rabbit models of optic nerve injury were reproduced by the clamp method. After modeling, rabbit models were given one injection of 50 ng recombinant human ciliary neurotrophic factor into the vitreous body and/or intragastric injection of 4 g/kg compound light granules containing Radix Angelicae Sinensis and Raidix Paeoniae Alba at 4 days after modeling, once per day for 30 consecutive days. After administration, the animals were sacrificed and the intraorbital optic nerve was harvested. Hematoxylin-eosin staining revealed that the injured optic nerve was thinner and optic nerve fibers were irregular. After treatment with recombinant human ciliary neurotrophic factor, the arrangement of optic nerve fibers was disordered but they were not markedly thinner. After treatment with compound light granules, the arrangement of optic nerve fibers was slightly disordered and their structure was intact. After combined treatment with recombinant human ciliary neurotrophic factor and compound light granules, the arrangement of optic nerve fibers was slightly disordered and the degree of injury was less than after either treatment alone. Results of tensile mechanical testing of the optic nerve showed that the tensile elastic limit strain, elastic limit stress, maximum stress and maximum strain of the injured optic nerve were significantly lower than the normal optic nerve. After treatment with recombinant human ciliary neurotrophic factor and/or compound light granules, the tensile elastic limit strain, elastic limit stress, maximum stress and maximum strain of the injured optic nerve were significantly increased, especially after the combined treatment. These experimental findings indicate that compound light granules and ciliary neurotrophic factor can alleviate optic nerve injury at the histological and biochemical levels, and the combined treatment is more effective than either treatment alone.

Network Pharmacology Approach to Uncover the Mechanism Governing the Effect of Polygonum cuspidatum on Hepatoma

Background:As a popular Chinese herbal medicine,polygonum cuspidatum is widely used to treat hepatoma in China.Network pharmacology targets biological networks and analyzes the links between drugs,targets,and diseases in these networks.In this study,network pharmacology was utilized to reveal the potential pharmacological mechanisms of polygonum cuspidatum on hepatoma.Methods:The chemical constituents of polygonum cuspidatum were searched from TCMSP data and target gene names were extracted from UniProt database.The GeneCard,OMIM,PharmGkb,Therapeutic Targets database,and DrugBank database were used to establish a database of hepatoma targets.Common targets for drugs and diseases were obtained from Venn online tools.The protein-protein interaction network was constructed with the STRING database to analyze the related protein interaction relationship.The clusterProfiler R software package was used to enrich the common target proteinsof GO and KEGG to obtained the related functions and pathways.Cytoscape 3.7.2 was used to build a“drug-compound-target-disease”network.Finally,docking of the active components with the core target was carried out.Results:Ten active components of polygonum cuspidatum were obtained,and 108 potential targets for hepatoma were identified.The biological functions of the common target genes of polygonum cuspidatum and hepatoma are shown in GO analysis.Pathways involved in the treatment of hepatoma include virus-related signaling pathways,IL-17 signaling pathways,apoptosis signaling pathways,and PI3K/AKT signaling pathways.Conclusions:The network pharmacology directly shows the“drug-compound-target-disease”effects of polygonum cuspidatum on hepatoma,and provides a basis for studying the mechanism of the effect of polygonum cuspidatum on hepatoma.

Mechanism of the use of four chemotherapeutic drugs for intestinal metaplasia in the treatment of precancerous gastric cancer lesions based on network pharmacology and molecular docking technology

Objective: To use network pharmacology and molecular docking technology to explore material basis and molecular mechanism of Coix lacryma-jobi, Hedyotis diffusa, Curcuma zedoaria, and Salvia chinensis on the treatment of pre-cancerous stomach diseases. Our findings provide a theoretical foundation for further clinical research. Methods: We searched and screened the targets of four pharmaceutical components for activity against precancerous lesions of gastric cancer (PLGC) using the GeneCards and OMIM network databases. The Chinese medicine composition-target network was constructed using Cytoscape3.7.2 software, and the protein interoperability network of the four drugs for PLGC treatment was constructed using the string data platform. The core target was found by topological analysis. Finally, biopathic and enrichment analyses were carried out on the drug-disease intersection target. Results: A total of 19 active ingredients and 123 component targets were collected for four enterolytic drugs. For PLGC, 1487 targets were identified, and 64 targets were collected for pharmaceutical components and diseases. A topological analysis was performed with a value greater than the mean degree (29.0), and 64 key core targets were obtained (including TP53, EGFR, TNF, and VEGFA), and the key targets were screened for TP53, EGFR, TNF, and VEGFA, among others, through network topology and protein interoperability network analyses. GO functional enrichment analysis resulted in 1337 bio-process entries, 46 cell composition entries, and 74 molecular function entries. KEGG (Kyoto Encyclopedia of Genes and Genomes) pathway enrichment analysis and screening resulted in 254 signaling pathways, including stomach cancer, breast cancer, prostate cancer, non-small cell lung cancer, and colon cancer. Conclusion: The four enterolysis drugs may be used to prevent and control PLGC by acting on TP53, EGFR, TNF, and VEGFA targets and relevant gastric cancer, inflammatory, and immune pathways.

Dissecting the underlying pharmaceutical mechanism of Danggui Buxue decoction acting on idiopathic pulmonary fibrosis with network pharmacology

Backgroud:Danggui Buxue decoction(DBD),a classical prescription in traditional Chinese medicine,has been found to have protective effect on bleomycin-induced pulmonary fibrosis in rats by reducing alveolar inflammation and fibrosis.However,the biological activity of individual chemical components and mechanism of action of whole formula are not clear.Methods:Potential targets of active ingredients of DBD were collected through Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and SymMap database.Target genes related to idiopathic pulmonary fibrosis were obtained from the Online Mendelian Inheritance in Man database,Therapeutic Targets Database and Gkb database.Then,the common targets were obtained by overlapping the potential targets of active ingredients in DBD and diseases related targets.The selected targets were subjected to Kyoto Encyclopedia of Genes and Genomes signaling pathway and Gene Ontology analysis,and the network map of active component-target-pathway was established using Cytoscape 3.7.1 software.The active components of DBD with most targets were selected for fibrosis-related marker verification.The mRNA and protein expression of fibrosis markers,α-smooth muscle actin,collagen 1 and fibronectin,were detected in TGF-β1-induced fibroblast cell line after treatment with the active components.Results:The 14 active ingredients,such as quercetin and kaempferol,were screened from DBD.It acts on 26 targets like estrogen receptor 2 and prostaglandin-endoperoxide synthase 2,and mainly involves 38 signaling pathways such as cell inflammation and autophagy.Kaempferol and quercetin are the two compounds with the highest network regulation,which can inhibit the transformation of fibroblasts into myofibroblasts and reduce the expression of fibrosis markersα-smooth muscle actin,collagen 1 and fibronectin.Conclusion:The integration mode of multi-component,multi-target,multi-channel and mechanism of DBD in the treatment of idiopathic pulmonary fibrosis are predicted by means of network pharmacology.Our study could indicate the direction of further anti-fibrotic mechanism research.

A network pharmacology approach to explore the mechanism of action of Yiqi Fumai lyophilized injection in the treatment of novel coronavirus disease

Background:Shengmai decoction,which has been included in the diagnosis and treatment of coronavirus disease 2019(COVID-19),is effective in the early treatment of patients with severe COVID-19.Yiqi Fumai lyophilized injection(YQFM)is a modern Chinese medicine preparation of the Shengmai decoction.The mechanism of its intervention at the molecular level in the severe stage of COVID-19 remains unclear.Therefore,it is necessary to investigate the mechanism of YQFM in the treatment of patients with severe COVID-19.Methods:The corresponding target genes of the main active ingredients in YQFM and COVID-19 were obtained by using multiple databases and literature retrieval.A protein-protein interaction network was constructed,and enrichment analysis of the target was performed using Cytoscape 3.8.1.Lastly,the docking of all the identified compounds with angiotensin-converting enzyme II was confirmed by applying molecular docking technology.Results:YQFM has anti-inflammatory effects on RAW267.4 macrophages.The main active compounds of YQFM are all effective anti-inflammatory agents,and these active compounds also show beneficial physiological functions,such as anti-oxidation,anti-bacterial,and anticancer activities.Gene Ontology analysis showed enrichment in the following pathways:lipopolysaccharides,interleukins,NF-kappa B,interleukin-2 and others,revealing that YQFM may play a role in the treatment of patients with severe COVID-19 through these pathways.Conclusion:YQFM has multicomponent and multitarget characteristics,and it could reduce lung injury by inhibiting inflammatory reactions,promoting antiviral activities,and regulating immunity,among other functions,to treat patients with severe COVID-19.