Investigation on the Mechanism of Qubi Formula in Treating Psoriasis Based on Network Pharmacology

Joint Authors

Zhou, Lin
Zhang, Lingyun
Tao, Disheng

Source

Evidence-Based Complementary and Alternative Medicine

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-13, 13 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-06-22

Country of Publication

Egypt

No. of Pages

13

Main Subjects

Medicine

Abstract EN

Objective.

To elucidate the pharmacological mechanisms of Qubi Formula (QBF), a traditional Chinese medicine (TCM) formula which has been demonstrated as an effective therapy for psoriasis in China.

Methods.

The Traditional Chinese Medicine Systems Pharmacology (TCMSP) database, BATMAN-TCM database, and literature search were used to excavate the pharmacologically active ingredients of QBF and to predict the potential targets.

Psoriasis-related targets were obtained from Therapeutic Target Database (TTD), DrugBank database (DBD), MalaCards database, and DisGeNET database.

Then, we established the network concerning the interactions of potential targets of QBF with well-known psoriasis-related targets by using protein-protein interaction (PPI) data in String database.

Afterwards, topological parameters (including DNMC, Degree, Closeness, and Betweenness) were calculated to excavate the core targets of Qubi Formula in treating psoriasis (main targets in the PPI network).

Cytoscape was used to construct the ingredients-targets core network for Qubi Formula in treating psoriasis, and ClueGO was used to perform GO-BP and KEGG pathway enrichment analysis on these core targets.

Results.

The ingredient-target-disease core network of QBF in treating psoriasis was screened to contain 175 active ingredients, which corresponded to 27 core targets.

Additionally, enrichment analysis suggested that targets of QBF in treating psoriasis were mainly clustered into multiple biological processes (associated with nuclear translocation of proteins, cellular response to multiple stimuli (immunoinflammatory factors, oxidative stress, and nutrient substance), lymphocyte activation, regulation of cyclase activity, cell-cell adhesion, and cell death) and related pathways (VEGF, JAK-STAT, TLRs, NF-κB, and lymphocyte differentiation-related pathways), indicating the underlying mechanisms of QBF on psoriasis.

Conclusion.

In this work, we have successfully illuminated that Qubi Formula could relieve a wide variety of pathological factors (such as inflammatory infiltration and abnormal angiogenesis) of psoriasis in a “multicompound, multitarget, and multipathway” manner by using network pharmacology.

Moreover, our present outcomes might shed light on the further clinical application of QBF on psoriasis treatment.

American Psychological Association (APA)

Zhou, Lin& Zhang, Lingyun& Tao, Disheng. 2020. Investigation on the Mechanism of Qubi Formula in Treating Psoriasis Based on Network Pharmacology. Evidence-Based Complementary and Alternative Medicine،Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1156232

Modern Language Association (MLA)

Zhou, Lin…[et al.]. Investigation on the Mechanism of Qubi Formula in Treating Psoriasis Based on Network Pharmacology. Evidence-Based Complementary and Alternative Medicine No. 2020 (2020), pp.1-13.
https://search.emarefa.net/detail/BIM-1156232

American Medical Association (AMA)

Zhou, Lin& Zhang, Lingyun& Tao, Disheng. Investigation on the Mechanism of Qubi Formula in Treating Psoriasis Based on Network Pharmacology. Evidence-Based Complementary and Alternative Medicine. 2020. Vol. 2020, no. 2020, pp.1-13.
https://search.emarefa.net/detail/BIM-1156232

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1156232