Systems Pharmacology Based Strategy for Q-Markers Discovery of HuangQin Decoction to Attenuate Intestinal Damage

Dai, Xiaolin; Cui, Dong-Ni; Wang, Jing; Zhang, Wei; Zhang, Zunjian; Xu, Fengguo

doi:10.3389/fphar.2018.00236

Cited by 21 publications

(7 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The LPS-induced inflammation model in THP-1 cells is an accepted model to evaluate the actions of drugs on inflammation. A previous report demonstrated that paeoniflorin from BS is a Q-marker of HQD, while baicalin, baicalein, wogonin, and oroxylin A from BS are Q-markers of HQD [9]. Therefore, we tested the effect of HQ, BS, the HQ-BS herbal pair and their Q-markers against the LPS-induced inflammatory response in the THP-1 cells.…”

Section: Discussionmentioning

confidence: 98%

“…Moreover, Dai et al used a system pharmacology method and experiments to discover and prove Q-markers of HQD in the role of attenuating IBD, and nine constituents (paeoniflorin, baicalin, scutellarein, liquiritigenin, norwogonin, baicalein, glycyrrhizic acid, wogonin, and oroxylin A) were found to be Q-markers of HQD. Moreover, all of these compounds are the main constituents of HQ-BS [9]. Baicalin was proved to exert a remarkable anti-inflammatory effect on colitis induced by dextran sodium sulfate (DSS), and the mechanistic investigation revealed that it may be regulated through the caudal-type homeobox 2 (CDX2/ pregnane X receptor (PXR) pathway [12,13].…”

Section: Introductionmentioning

confidence: 99%

“…HQD has been used to treat gastrointestinal disease such as diarrhea, abdominal spasms, vomiting, and nausea for a long time in China [ 8 ]. HQD consists of four ingredients: the roots of Scutellaria baicalensis Georgi (Huangqin, HQ), Paeonia lactiflora Pall (Baishao, BS), Glycyrrhiza uralensis Fisch (Gancao, GC), and the fruit of Ziziphus jujuba Mill (Dazao, DZ) [ 9 ]. HQD has been proven to ameliorate intestinal damage [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Herbal pair Huangqin-Baishao: mechanisms underlying inflammatory bowel disease by combined system pharmacology and cell experiment approach

Huang

Chen

et al. 2020

BMC Complement Med Ther

View full text Add to dashboard Cite

Background Inflammatory bowel disease (IBD) is a severe digestive system condition, characterized by chronic and relapsing inflammation of the gastrointestinal tract. Scutellaria baicalensis Georgi (Huangqin, HQ) and Paeonia lactiflora Pall (Baishao, BS) from a typical herbal synergic pair in traditional Chinese medicine (TCM) for IBD treatments. However, the mechanisms of action for the synergy are still unclear. Therefore, this paper aimed to predict the anti-IBD targets and the main active ingredients of the HQ-BS herbal pair. Methods A systems pharmacology approach was used to identify the bioactive compounds and to delineate the molecular targets and potential pathways of HQ-BS herbal pair. Then, the characteristics of the candidates were analyzed according to their oral bioavailability and drug-likeness indices. Finally, gene enrichment analysis with DAVID Bioinformatics Resources was performed to identify the potential pathways associated with the candidate targets. Results The results showed that, a total of 38 active compounds were obtained from HQ-BS herbal pair, and 54 targets associated with IBD were identified. Gene Ontology and pathway enrichment analysis yielded the top 20 significant results with 54 targets. Furthermore, the integrated IBD pathway revealed that the HQ-BS herbal pair probably acted in patients with IBD through multiple mechanisms of regulation of the nitric oxide biosynthetic process and anti-inflammatory effects. In addition, cell experiments were carried out to verify that the HQ-BS herbal pair and their Q-markers could attenuate the levels of nitric oxide (NO), prostaglandin E2 (PGE2), inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2) in lipopolysaccharide (LPS)-stimulated THP-1-derived macrophage inflammation. In particular, the crude materials exerted a much better anti-inflammatory effect than their Q-markers, which might be due to their synergistic effect. Conclusion This study provides novel insight into the molecular pathways involved in the mechanisms of the HQ-BS herbal pair acting on IBD.

show abstract

Section: Discussionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Herbal pair Huangqin-Baishao: mechanisms underlying inflammatory bowel disease by combined system pharmacology and cell experiment approach

Huang

Chen

et al. 2020

BMC Complement Med Ther

View full text Add to dashboard Cite

show abstract

“…Furthermore, we found that the network-based measure of high-quality drug combinations ( Cheng et al, 2019 ) could be used for evaluating the molecular interaction closeness of both herbal combinations and prescriptions. For example, a classical formula in TEFD, “Shaoyao Gancao decoction” (SGD), contains two herbs: Radix Paeoniae Alba (hRPA) and Radix Glycyrrhizae Preparata (hRGP), which has been further prescribed as core herbal combinations in many classical formulae [e.g., Mahuang Shengma decoction ( Fan et al, 2011 ), Xiaoqinglong decoction ( Wang et al, 2018 ), Gegen decoction ( Chai et al, 2020 ), Chaihu Guizhi decoction ( Li et al, 2019 ), and HuangQin decoction ( Dai et al, 2018 )]. According to the molecular network-based measurement, we found that the

score of SGD was -0.03 (the random expectation was 0.03).…”

Section: Discussionmentioning

confidence: 99%

Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions

Wang

Peng

et al. 2021

Front. Pharmacol.

View full text Add to dashboard Cite

As a well-established multidrug combinations schema, traditional Chinese medicine (herbal prescription) has been used for thousands of years in real-world clinical settings. This paper uses a complex network approach to investigate the regularities underlying multidrug combinations in herbal prescriptions. Using five collected large-scale real-world clinical herbal prescription datasets, we construct five weighted herbal combination networks with herb as nodes and herbal combinational use in herbal prescription as links. We found that the weight distribution of herbal combinations displays a clear power law, which means that most herb pairs were used in low frequency and some herb pairs were used in very high frequency. Furthermore, we found that it displays a clear linear negative correlation between the clustering coefficients and the degree of nodes in the herbal combination network (HCNet). This indicates that hierarchical properties exist in the HCNet. Finally, we investigate the molecular network interaction patterns between herb related target modules (i.e., subnetworks) in herbal prescriptions using a network-based approach and further explore the correlation between the distribution of herb combinations and prescriptions. We found that the more the hierarchical prescription, the better the corresponding effect. The results also reflected a well-recognized principle called “Jun-Chen-Zuo-Shi” in TCM formula theories. This also gives references for multidrug combination development in the field of network pharmacology and provides the guideline for the clinical use of combination therapy for chronic diseases.

show abstract

“…It is called active ingredient omics. 10,11 Network pharmacology is an emerging discipline based on the theory of systems biology. It conducts network analysis of biological systems, builds a "drug-target-disease" network relationship, and then select specific signal nodes to design multitarget drug molecules.…”

Section: Introductionmentioning

confidence: 99%

Identification of the Mechanism of Feiduqing on Viral Pneumonia Based on Network Pharmacology Analysis

Liu

et al. 2021

Natural Product Communications

View full text Add to dashboard Cite

Feiduqing (FDQ) is a traditional Chinese medicine formula used for many years in the treatment of viral pneumonia (VP). However, the effective components of FDQ and the mechanism by which it affects VP remain unclear. The purpose of this study is to determine the multitarget mechanism of the effect of FDQ on VP through determination and in vivo pharmacodynamics combined with network pharmacology. Firstly, the compound–target–pathway network was constructed by using TCMSP, UniProt, GeneCards, STRING, and DAVID databases through Cytoscape 3.7.0. Secondly, the content of the effective components of the original prescription of FDQ was determined. Finally, the pharmacological activity of FDQ in vivo was verified by an animal model, and the active ingredient composition (AIC), selected by network pharmacology was used for antipyretic, antiinflammatory, antitussive, and expectorant symptoms. Seven compounds of FDQ and 22 potential target genes in the treatment of VP with FDQ were identified by network pharmacology analysis. Kyoto Encyclopedia of genes and genomes enrichment analysis results indicated that the mechanism of FDQ in the treatment of VP was mainly related to pathways in cancer, hepatitis b, tumor necrosis factor (TNF) signaling pathway, Chagas disease, tuberculosis, influenza A, human T-cell leukemia virus, type 1 infection, toxoplasmosis and toll-like receptor signaling pathways, osteoclast differentiation, nonalcoholic fatty liver disease, and leishmaniasis. The results of pharmacodynamic experiments showed that FDQ and AIC possessed antipyretic, cough relieving, and reducing sputum effects. Besides, FDQ and AIC could also significantly reduce the content of prostaglandin E2, TNF-α, cyclic adenosine monophosphate, interleukin-1β, and myeloperoxidase in vivo, while increasing the content of interleukin-10 in vivo. The active ingredients of FDQ prescriptions could be accurately screened by network pharmacological analysis, as they clarified the mechanism of FDQ in the treatment of VP. The research results provided potential ideas and methods for the screening and purification of active ingredients in traditional Chinese medicine prescriptions.

show abstract

Systems Pharmacology Based Strategy for Q-Markers Discovery of HuangQin Decoction to Attenuate Intestinal Damage

Cited by 21 publications

References 26 publications

Herbal pair Huangqin-Baishao: mechanisms underlying inflammatory bowel disease by combined system pharmacology and cell experiment approach

Herbal pair Huangqin-Baishao: mechanisms underlying inflammatory bowel disease by combined system pharmacology and cell experiment approach

Network Patterns of Herbal Combinations in Traditional Chinese Clinical Prescriptions

Identification of the Mechanism of Feiduqing on Viral Pneumonia Based on Network Pharmacology Analysis

Contact Info

Product

Resources

About