Action Of Traditional Chinese Medicine Research Articles

Potential Effects of Traditional Chinese Medicine in Anti-Aging and Aging-Related Diseases: Current Evidence and Perspectives.

Aging and aging-related diseases present a global public health problem. Therefore, the development of efficient anti-aging drugs has become an important area of research. Traditional Chinese medicine is an important complementary and alternative branch of aging-related diseases therapy. Recently, a growing number of studies have revealed that traditional Chinese medicine has a certain delaying effect on the progression of aging and aging-related diseases. Here, we review the progress in research into using traditional Chinese medicine for aging and aging-related diseases (including neurodegenerative diseases, cardiovascular diseases, diabetes, and cancer). Furthermore, we summarize the potential mechanisms of action of traditional Chinese medicine and provide references for further studies on aging and aging-related diseases.

Clinical evidence and potential mechanisms of traditional Chinese medicine for refractory heart failure: a literature review and perspectives.

Refractory heart failure (RHF), or end-stage heart failure, has a poor prognosis and high case fatality rate, making it one of the therapeutic difficulties in the cardiovascular field. Despite the continuous abundance of methods and means for treating RHF in modern medicine, it still cannot meet the clinical needs of patients with RHF. How to further reduce the mortality rate and readmission rate of patients with RHF and improve their quality of life is still a difficult point in current research. In China, traditional Chinese medicine (TCM) has been widely used and has accumulated rich experience in the treatment of RHF due to its unique efficacy and safety advantages. Based on this, we comprehensively summarized and analyzed the clinical evidence and mechanism of action of TCM in the treatment of RHF and proposed urgent scientific issues and future research strategies for the treatment of RHF with TCM, to provide reference for the treatment of RHF.

Traditional Chinese Medicine in Regulating Tumor Microenvironment.

Tumor microenvironment (TME) is a complex and integrated system containing a variety of tumor-infiltrating immune cells and stromal cells. They are closely connected with cancer cells and influence the development and progression of cancer. Traditional Chinese medicine (TCM) is an important complementary therapy for cancer treatment in China. It mainly eliminates cancer cells by regulating TME. The aim of this review is to systematically summarize the crosstalk between tumor cells and TME, and to summarize the research progress of TCM in regulating TME. The review is of great significance in revealing the therapeutic mechanism of action of TCM, and provides an opportunity for the combined application of TCM and immunotherapy in cancer treatment.

The Application and Pathway Regulation of Traditional Chinese Medicine in Lung Cancer Treatment: An Exploratory Review

Lung cancer is one of the cancers with the highest mortality rate. Non-small cell lung cancer (NSCLC) accounts for 85% of lung cancer cases and is often diagnosed at an advanced stage with a poor prognosis. Due to the lack of effective molecular targets, the current clinical cure rate is low, and the recurrence rate is high. Recent studies have found that active components of traditional Chinese medicine and Chinese herbal formulas can inhibit the development of NSCLC through multiple pathways and targets, effectively reducing its metastasis and recurrence rates, improving treatment side effects, and compensating for the deficiencies in drug resistance. Although treatments such as surgery, radiotherapy, targeted therapy, and immunotherapy have achieved better clinical efficacy in treating lung cancer, they still have problems such as multiple complications and severe adverse reactions. In recent years, numerous basic and clinical studies have confirmed the good effects of traditional Chinese medicine in treating lung cancer. Traditional Chinese medicine has a synergistic regulatory effect through multiple components, targets, pathways, and channels. The numerous active monomeric components and complex mechanisms of action determine that there are issues such as unclear related mechanisms of action in the prevention and treatment of lung cancer by traditional Chinese medicine. There is an urgent need to elucidate the mechanisms of action of traditional Chinese medicine in intervening lung cancer from the perspective of modern medicine, and at the levels of molecular biology, network pharmacology, etc. This article systematically summarizes the research progress on the regulation of the above-mentioned signaling pathways and the expression of key protein molecules by traditional Chinese medicine monomers or formulas, aiming to clarify the mechanisms of action of traditional Chinese medicine in the progression of lung cancer, and to provide ideas and theoretical basis for the in-depth study and clinical application of traditional Chinese medicine in intervening lung cancer.

Determination of antioxidant activity, chlorophyll and carotenoids content of Kappaphycus alvarezii: Comparison of seaweed with traditional Chinese Medicines

After the pandemic of COVID-19, there has been a growing interest in food safety concerns. Besides consuming wild-type animals, another focus is the synthetic compounds used in food preparation. Various reports show that antioxidant mechanisms might be closely related to decreasing the risk of disease infection. On 18 March 2020, Malaysia had the first Movement Control Order (MCO) that all communities must stay home. Public also questions whether natural food, mainly traditional Chinese medicine, can act as an antioxidant agent. Therefore, spectrophotometric procedures for determining the antioxidant capacities of selected samples were conducted. This method is based on scavenging 2, 2 diphenyl 1-picryl hydroxyl (DPPH) by adding a radical species or an antioxidant that decolourises the DPPH solution. This study aimed to compare, using the DPPH assay, the antioxidant level of Kappaphycus alvarezii to other traditional Chinese medicines (TCM) such as Andrographis paniculata, Lycium chinense and Ziziphus jujube. This study characterises the antioxidant activity of traditional Chinese medicines associated with carotenoid and total chlorophyll content from seaweed. Antioxidant analysis has shown that the highest antioxidant property was observed in the solvent extract of L. chinense. The DPPH assay provides an easy and rapid way to evaluate potential antioxidants in selected samples.

Integrating artificial intelligence into the modernization of traditional Chinese medicine industry: a review.

Traditional Chinese medicine (TCM) is the practical experience and summary of the Chinese nation for thousands of years. It shows great potential in treating various chronic diseases, complex diseases and major infectious diseases, and has gradually attracted the attention of people all over the world. However, due to the complexity of prescription and action mechanism of TCM, the development of TCM industry is still in a relatively conservative stage. With the rise of artificial intelligence technology in various fields, many scholars began to apply artificial intelligence technology to traditional Chinese medicine industry and made remarkable progress. This paper comprehensively summarizes the important role of artificial intelligence in the development of traditional Chinese medicine industry from various aspects, including new drug discovery, data mining, quality standardization and industry technology of traditional Chinese medicine. The limitations of artificial intelligence in these applications are also emphasized, including the lack of pharmacological research, database quality problems and the challenges brought by human-computer interaction. Nevertheless, the development of artificial intelligence has brought new opportunities and innovations to the modernization of traditional Chinese medicine. Integrating artificial intelligence technology into the comprehensive application of Chinese medicine industry is expected to overcome the major problems faced by traditional Chinese medicine industry and further promote the modernization of the whole traditional Chinese medicine industry.

Integrated causal inference modeling uncovers novel causal factors and potential therapeutic targets of Qingjin Yiqi granules for chronic fatigue syndrome

Objective: Chronic fatigue syndrome (CFS) is a prevalent symptom of post-coronavirus disease 2019 (COVID-19) and is associated with unclear disease mechanisms. The herbal medicine Qingjin Yiqi granules (QJYQ) constitute a clinically approved formula for treating post-COVID-19; however, its potential as a drug target for treating CFS remains largely unknown. This study aimed to identify novel causal factors for CFS and elucidate the potential targets and pharmacological mechanisms of action of QJYQ in treating CFS. Methods: This prospective cohort analysis included 4,212 adults aged ≥65 years who were followed up for 7 years with 435 incident CFS cases. Causal modeling and multivariate logistic regression analysis were performed to identify the potential causal determinants of CFS. A proteome-wide, two-sample Mendelian randomization (MR) analysis was employed to explore the proteins associated with the identified causal factors of CFS, which may serve as potential drug targets. Furthermore, we performed a virtual screening analysis to assess the binding affinity between the bioactive compounds in QJYQ and CFS-associated proteins. Results: Among 4,212 participants (47.5% men) with a median age of 69 years (interquartile range: 69–70 years) enrolled in 2004, 435 developed CFS by 2011. Causal graph analysis with multivariate logistic regression identified frequent cough (odds ratio: 1.74, 95% confidence interval [CI]: 1.15–2.63) and insomnia (odds ratio: 2.59, 95% CI: 1.77–3.79) as novel causal factors of CFS. Proteome-wide MR analysis revealed that the upregulation of endothelial cell-selective adhesion molecule (ESAM) was causally linked to both chronic cough (odds ratio: 1.019, 95% CI: 1.012–1.026, P = 2.75 e−05) and insomnia (odds ratio: 1.015, 95% CI: 1.008–1.022, P = 4.40 e−08) in CFS. The major bioactive compounds of QJYQ, ginsenoside Rb2 (docking score: −6.03) and RG4 (docking score: −6.15), bound to ESAM with high affinity based on virtual screening. Conclusions: Our integrated analytical framework combining epidemiological, genetic, and in silico data provides a novel strategy for elucidating complex disease mechanisms, such as CFS, and informing models of action of traditional Chinese medicines, such as QJYQ. Further validation in animal models is warranted to confirm the potential pharmacological effects of QJYQ on ESAM and as a treatment for CFS.

Exploring the medication pattern and mechanism of action of traditional Chinese medicine in treating polycystic ovary syndrome with kidney deficiency and blood stasis based on data mining and network pharmacology

Exploring the medication pattern and mechanism of action of traditional Chinese medicine in treating polycystic ovary syndrome with kidney deficiency and blood stasis based on data mining and network pharmacology

Treatment of Chronic Gastritis with Traditional Chinese Medicine: Pharmacological Activities and Mechanisms.

Chronic gastritis (CG) is a common clinical digestive system disease, which is not easyily cured and is prone to recurrence. Traditional Chinese medicine (TCM) plays a significant role in the treatment of CG and has attracted increasing attention for clinical applications. In recent years, a large number of reports have shown that TCM has good therapeutic effect on CG. The aim of this paper is to investigate the pharmacological activities and mechanism of action of TCM in the treatment of CAG. Therefore, by searching the databases of Pubmed, China National Knowledge Infrastructure, Wanfang, and Baidu academic databases, this paper has summarized the molecular mechanisms of TCM in improving CG. The results show that the improvement of GC by TCM is closely related to a variety of molecular mechanisms, including the inhibition of Helicobacter pylori (Hp) infection, alleviation of oxidative stress, improvement of gastric function, repair of gastric mucosa, inhibition of inflammatory response, and apoptosis. More importantly, IRF8-IFN-γ, IL-4-STAT6, Hedgehog, pERK1/2, MAPK, PI3K-Akt, NF-κB, TNFR-c-Src-ERK1/2-c-Fos, Nrf2/HO-1, and HIF-1α/VEGF signaling pathways are considered as important molecular targets for TCM in the treatment of GC. These important findings will provide a direction and a basis for further exploring the pathogenesis of GC and tapping the potential of TCM in clinical treatment. This review also puts forward a bright prospect for future research of TCM in the treatment of CG.

The anti-tumor potential of sinomenine: a narrative review.

Currently, chemotherapy is the main treatment for most tumors. However, drug resistance and many adverse reactions associated with chemotherapy greatly limit its use. Therefore, an increasing number of researchers have shifted the research focus the anti-tumor activity of traditional Chinese medicine. The objective of this article is to review the anti-tumor mechanism of sinomenine and its derivatives to provide a reference for further study and clinical transformation. In this study, we searched for relevant articles on the anti-tumor mechanism of Sinomenium using databases such as PubMed and Medline. Sinomenine is a monomer alkaloid component extracted from the rhizome of Sinomenium acuturn. A number of basic studies have proven that sinomenine and its derivatives show significant anti-tumor activity in breast cancer, lung cancer, liver cancer, stomach cancer, ovarian cancer, osteosarcoma and other tumors. They can induce apoptosis and autophagic death of tumor cells, inhibit proliferation, migration and invasion of tumor cells, increase the sensitivity of tumor cells to radiotherapy and chemotherapy, and reverse the drug resistance through various molecular mechanisms. In addition, sinomenine can effectively relieve osteolysis and bone pain in tumor patients. At present, anti-tumor research on sinomenine remains in the basic experimental stage. Sinomenine and its derivatives are rich in substances with high anti-tumor potential. This analysis provides a review of the anti-tumor effects and mechanisms of sinomenine, with the hope of further exploring the medical value of sinomenine in anti-tumor treatments.

Clinical evidence and mechanisms of traditional Chinese medicine in major diseases

Abstract Major diseases cause a double blow to patients' physical and mental health and family life and pose a great challenge to the healthcare system. The high incidence of major diseases compels us to constantly improve the medical prevention and treatment system to reduce disability and death rates as much as possible. Traditional Chinese medicine (TCM) has been widely used in the treatment of malignancies and cardiovascular and cerebrovascular diseases such as myocardial infarction and stroke, in the rehabilitation of patients with these diseases, as well as in the prevention and treatment of new outbreaks of infectious diseases and other major illnesses. After the coronavirus disease 2019 outbreak, the clinical application of “three prescriptions and three drugs” has greatly increased the cure rate, reduced the mortality rate, and provided a “Chinese solution” for global epidemic prevention and control. This article reviewed the clinical evidence and mechanisms of action of TCM in the prevention and treatment of major diseases, summarized the advances, and proposed future research directions to provide scientific evidence to expand the clinical application of TCM and improve its efficacy for the benefit of all humankind.

Ethyl acetate extract of Antenoron Filiforme inhibits the proliferation of triple negative breast cancer cells via suppressing Skp2/p21 signaling axis

BackgroundTriple negative breast cancer (TNBC) has the worst prognosis of the any breast cancer subtype, and the efficient therapeutical treatment is extremely limited. Antenoron filiforme (Thunb.) Roberty & Vautier (AF) is a Traditional Chinese Medicine (TCM), which is well-known for a diverse array of pharmacological activities, including but not limited to anti-inflammatory, antioxidant and anti-tumors properties. Clinically, AF is commonly prescribed for the treatment of gynecological diseases. PurposeSince TNBC is one of the worst gynecological diseases, the objective of this research is to study the anti-TNBC function of the ethyl acetate extract (EAE) of AF (AF-EAE) and disclose its mechanism of action. Materials and methodsWith the aim of elucidating the underlying molecular mechanism and possible chemical basis of AF-EAE in the treatment of TNBC, a comprehensive approach combining system pharmacology and transcriptomic analysis, functional experimental validation, and computational modeling was implemented. Firstly, the potential therapeutic targets of AF-EAE treating TNBC were analyzed by systemic pharmacology and transcriptome sequencing. Subsequently, cell viability assays, cell cycle assays, and transplantation tumor assays were employed to detect the inhibitory effect of AF-EAE on TNBC. Apart from that, the western blot and RT-qPCR assays were adopted to verify its mechanism of action. Finally, the potential chemical basis of anti-TNBC function of AF-EAE was screened through molecular docking and validated by molecular dynamics. ResultsThis study analyzed the differentially expressed genes after AF-EAE treatment by RNA-sequencing (RNA-seq). It was found that most of the genes were abundant in the gene set termed “cell cycle”. Besides, AF-EAE could suppress the proliferation of TNBC cells in vitro and in vivo by inhibiting the function of Skp2 protein. AF-EAE could also lead to the accumulation of p21 and a decrease of CDK6/CCND1 protein, thereby stalling the cycle of cell in the G1/S stage. Notably, clinical data survival analysis clearly demonstrated that Skp2 overexpression has been negatively correlated with survival rates in breast cancer (BC) patients. Further, as suggested by molecular docking and molecular dynamics, the quercetin and its analogues of AF-EAE might bind to Skp2 protein. ConclusionIn summary, AF-EAE inhibits the growth of TNBC in vitro and in vivo through targeting Skp2/p21 signaling pathway. While providing a novel potential drug for treating TNBC, this study might establish a method to delve into the action mechanism of TCM.

Gut microbiota, a hidden protagonist of traditional Chinese medicine for acute ischemic stroke.

Acute ischemic stroke (AIS) is one of the leading diseases causing death and disability worldwide, and treatment options remain very limited. Traditional Chinese Medicine (TCM) has been used for thousands of years to treat ischemic stroke and has been proven to have significant efficacy, but its mechanism of action is still unclear. As research related to the brain-gut-microbe axis progresses, there is increasing evidence that the gut microbiota plays an important role during AIS. The interaction between TCM and the gut microbiota has been suggested as a possible key link to the therapeutic effects of TCM. We have compiled and reviewed recent studies on the relationship between AIS, TCM, and gut microbiota, with the expectation of providing more ideas to elucidate the mechanism of action of TCM in the treatment of AIS.

Research progress on the effect of traditional Chinese medicine on the activation of PRRs-mediated NF-κB signaling pathway to inhibit influenza pneumonia.

Influenza pneumonia has challenged public health and social development. One of the hallmarks of severe influenza pneumonia is overproduction of pro-inflammatory cytokines and chemokines, which result from the continuous activation of intracellular signaling pathways, such as the NF-κB pathway, mediated by the interplay between viruses and host pattern recognition receptors (PRRs). It has been reported that traditional Chinese medicines (TCMs) can not only inhibit viral replication and inflammatory responses but also affect the expression of key components of PRRs and NF-κB signaling pathways. However, whether the antiviral and anti-inflammatory roles of TCM are related with its effects on NF-κB signaling pathway activated by PRRs remains unclear. Here, we reviewed the mechanism of PRRs-mediated activation of NF-κB signaling pathway following influenza virus infection and summarized the influence of anti-influenza TCMs on inflammatory responses and the PRRs/NF-κB signaling pathway, so as to provide better understanding of the mode of action of TCMs in the treatment of influenza pneumonia.

Identification of phytochemical compounds of Fagopyrum dibotrys and their targets by metabolomics, network pharmacology and molecular docking studies

Acute lung injury (ALI) is a clinically severe lung illness with high incidence rate and mortality. Especially, coronavirus disease 2019 (COVID-19) poses a serious threat to world wide governmental fitness. It has distributed to almost from corner to corner of the universe, and the situation in the prevention and control of COVID-19 remains grave. Traditional Chinese medicine plays a vital role in the precaution and therapy of sicknesses. At present, there is a lack of drugs for treating these diseases, so it is necessary to develop drugs for treating COVID-19 related ALI. Fagopyrum dibotrys (D. Don) Hara is an annual plant of the Polygonaceae family and one of the long-history used traditional medicine in China. In recent years, its rhizomes (medicinal parts) have attracted the attention of scholars at home and abroad due to their significant anti-inflammatory, antibacterial and anticancer activities. It can work on SARS-COV-2 with numerous components, targets, and pathways, and has a certain effect on coronavirus disease 2019 (COVID-19) related acute lung injury (ALI). However, there are few systematic studies on its aerial parts (including stems and leaves) and its potential therapeutic mechanism has not been studied. The phytochemical constituents of rhizome of F. dibotrys were collected using TCMSP database. And metabolites of F. dibotrys' s aerial parts were detected by metabonomics. The phytochemical targets of F. dibotrys were predicted by the PharmMapper website tool. COVID-19 and ALI-related genes were retrieved from GeneCards. Cross targets and active phytochemicals of COVID-19 and ALI related genes in F. dibotrys were enriched by gene ontology (GO) and KEGG by metscape bioinformatics tools. The interplay network entre active phytochemicals and anti COVID-19 and ALI targets was established and broke down using Cytoscape software. Discovery Studio (version 2019) was used to perform molecular docking of crux active plant chemicals with anti COVID-19 and ALI targets. We identified 1136 chemicals from the aerial parts of F. dibotrys, among which 47 were active flavonoids and phenolic chemicals. A total of 61 chemicals were searched from the rhizome of F. dibotrys, and 15 of them were active chemicals. So there are 6 commonly key active chemicals at the aerial parts and the rhizome of F. dibotrys, 89 these phytochemicals's potential targets, and 211 COVID-19 and ALI related genes. GO enrichment bespoken that F. dibotrys might be involved in influencing gene targets contained numerous biological processes, for instance, negative regulation of megakaryocyte differentiation, regulation of DNA metabolic process, which could be put down to its anti COVID-19 associated ALI effects. KEGG pathway indicated that viral carcinogenesis, spliceosome, salmonella infection, coronavirus disease - COVID-19, legionellosis and human immunodeficiency virus 1 infection pathway are the primary pathways obsessed in the anti COVID-19 associated ALI effects of F. dibotrys. Molecular docking confirmed that the 6 critical active phytochemicals of F. dibotrys, such as luteolin, (+) -epicatechin, quercetin, isorhamnetin, (+) -catechin, and (−) -catechin gallate, can combine with kernel therapeutic targets NEDD8, SRPK1, DCUN1D1, and PARP1. In vitro activity experiments showed that the total antioxidant capacity of the aerial parts and rhizomes of F. dibotrys increased with the increase of concentration in a certain range. In addition, as a whole, the antioxidant capacity of the aerial part of F. dibotrys was stronger than that of the rhizome. Our research afford cues for farther exploration of the anti COVID-19 associated ALI chemical compositions and mechanisms of F. dibotrys and afford scientific foundation for progressing modern anti COVID-19 associated ALI drugs based on phytochemicals in F. dibotrys. We also fully developed the medicinal value of F. dibotrys' s aerial parts, which can effectively avoid the waste of resources. Meanwhile, our work provides a new strategy for integrating metabonomics, network pharmacology, and molecular docking techniques which was an efficient way for recognizing effective constituents and mechanisms valid to the pharmacologic actions of traditional Chinese medicine.

Network Pharmacology Revealed the Mechanisms of Action of Lithospermum erythrorhizon Sieb on Atopic Dermatitis.

The application of network analysis algorithms promoted the development of network pharmacology. This study aimed to combine network pharmacology and signed random walk with restart (SRWR) to reveal the mechanism by which Lithospermum erythrorhizon Sieb (LES) exerts effects onatopic dermatitis (AD). The compounds and targets of LES were retrieved from Traditional Chinese Medicine Integrated Database (TCMID) and Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP), and important compounds and targets were identified by intersection analysis and protein-protein interaction (PPI) network. We found that active LES-derived compounds such as caffeic acid, Isovaleric acid, Arnebinol, and Alannan may inhibit PTGS2, HSP90AA1 and MAPK14, which are key mediators involved in PI3K-Akt pathway, vascular endothelial growth factor signaling pathway, Fc epsilon RI signaling pathway, and calcium signaling pathway. The application of SRWR could identify potential targets of LES with a low false-positive rate and help elucidate the mechanism of action of traditional Chinese medicine.

Protective effects of Descurainia sophia seeds extract and its fractions on pulmonary edema by untargeted urine and serum metabolomics strategy.

Background: Descurainia sophia seeds (DS) is a herbal medicine in traditional Chinese medicine (TCM) for treating lung diseases. We aimed to evaluate the therapeutic effect of DS and five of its fractions upon pulmonary edema (PE) through metabolomics analysis (MA) of urine and serum samples of rats. Methods: A PE model was established by intrathoracic injection of carrageenan. Rats were pretreated with DS extract or its five fractions (polysaccharides (DS-Pol); oligosaccharides (DS-Oli); flavonoid glycosides (DS-FG); flavonoid aglycone (DS-FA); fat oil fraction (DS-FO)) for seven consecutive days. Forty-eight hours after carrageenan injection, lung tissues were subjected to histopathology. MA of urine and serum was done by ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry, respectively. Principal component analysis and orthogonal partial least squares-discriminant analysis were operated for the MA of rats and potential biomarkers related to treatment. Heatmaps and metabolic networks were constructed to explore how DS and its five fractions act against PE. Results: DS and its five fractions could all attenuate pathologic lung injury to different degrees, and DS-Oli, DS-FG, and DS-FO had a more potent effect compared with DS-Pol and DS-FA. DS-Oli, DS-FG, DS-FA, and DS-FO could regulate the metabolic profiles of PE rats, but DS-Pol was less potent. According to MA, the five fractions could improve PE to some degree due to their anti-inflammatory, immunoregulatory, and renoprotective activities by mediating the metabolism of taurine, tryptophan, and arachidonic acid. However, DS-Oli, DS-FG, and DS-FO had more important roles in edema-fluid reabsorption, and reduction of vascular leakage through regulating the metabolism of phenylalanine, sphingolipid and bile acid. Finally, heatmaps and hierarchical clustering analysis indicated DS-Oli, DS-FG, and DS-FO to be more efficacious than DS-Pol or DS-FA against PE. The five fractions of DS had a synergistic effect on PE from different aspects, thereby constituting the entire efficacy of DS. DS-Oli, DS-FG, or DS-FO could be used as an alternative to DS. Conclusion: MA combined with use of DS and its fractions provided novel insights into the mechanism of action of TCM.

Overlapping Symptoms of Functional Gastrointestinal Disorders: Current Challenges and the Role of Traditional Chinese Medicine.

Several functional gastrointestinal disorders (FGIDs) have overlapping symptoms, and, consequently, developing treatment strategies based on symptomatology poses a challenge for the clinical management of complex FGIDs. The significant overlap in the symptoms of FGIDs caused by the shared pathophysiological mechanisms is both a challenge and an excellent target for therapeutic development, since treatment strategies focused on shared pathophysiological mechanisms can treat the associated underlying diseases rather than just alleviating the primary symptoms. Owing to its multi-targeted approach, traditional Chinese medicine (TCM) has garnered immense interest worldwide; however, the quality of the data demonstrating its effectiveness is generally weak. Additionally, the causal link between the intrinsic mechanisms of action of TCM and its clinical benefits remains obscure. Systems biology is characterized by holistic and dynamic research, which corresponds to the holistic, multi-targeted, and syndrome-based approach of TCM. Therefore, high-throughput analysis techniques can be employed to describe and comprehend the genesis and progression of diseases, as well as the impacts of TCM on the organism, which may aid in elucidating the pathogenic mechanisms of the diseases as well as the mechanism of action of TCM.

Application of network pharmacology in the study of the mechanism of action of traditional chinese medicine in the treatment of COVID-19.

Network pharmacology was rapidly developed based on multidisciplinary holistic analysis of biological systems, which has become a popular tool in traditional Chinese medicine (TCM) research in recent years. Its characteristics of integrity and systematization provide a new approach for the study on complex TCM systems, which has many similarities with the holistic concept of TCM. It has been widely used to explain the mechanism of TCM treatment of diseases, drug repositioning, and interpretation of compatibility of TCM prescriptions, to promote the modernization of TCM. The use of TCM have provided crucial support on prevention and treatment of diseases such as the famous “three medicines and three prescriptions”. Furthermore, TCM has become an important part of the treatment of COVID-19 and is one of the main contents of the “Chinese plan” to fight the epidemic. The current review demonstrated the role of TCM in treating diseases with multiple components, multiple targets, and multiple pathways, interprets the connotation of TCM treatment method selection based on pathogenesis and also discusses the application of network pharmacology in the study of COVID-19 treatment in TCM including single drug and prescription. However, there are still some shortcomings such as the lack of experimental verification and regular upgrading of the TCM pharmacology network. Therefore, we must pay attention to the characteristics of TCM and develop a network pharmacology method suitable for TCM system research when applying network pharmacology to TCM research.

Front Cover: Screening prolyl hydroxylase domain 2 inhibitory activity of traditional Chinese medicine by CZE‐UV

DOI: 10.1002/elps.202200028 The cover picture illustrates the first work screening prolyl hydroxylase 2 (PHD2) inhibitory activity from traditional Chinese medicines (TCMs). PHD2 is a key oxygen receptor participating in the regulation of oxygen homeostasis in the human body and thus, it is one of the crucial targets for drug discovery and development for hypoxia-based diseases. The present work utilizes the advantage of the high separation efficiency of the CZE-UV method to avoid the interference of the complex matrix on the results of inhibitor screening. Astragali Radix and Codonopsis pilosula were found to have good PHD2 inhibitory activities for the first time in PHD2 screening, suggesting their potential anti-hypoxic activities in oxygen-regulated pathways in vivo. The present work provides a novel approach for screening the PHD2 inhibitory activity of TCMs extracts and the discovery of anti-hypoxia bioactive compounds.