Evidence map›Paper›PMID 35265149›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2022

Mechanism of Huoluo Xiaoling Dan in the Treatment of Psoriasis Based on Network Pharmacology and Molecular Docking.

Ke Gong, Wen Guo, Kaiqing Du, Fang Wang, Mengli Li, Jianhui Guo

Abstract read
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Article in Evidence-based complementary and alternative medicine : eCAM, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Ke GongHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.ORCID https://orcid.org/0000-0002-3858-828X
Wen GuoHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Kaiqing DuHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.
Fang WangTraditional Chinese Medicine Hospital of Jiaozuo City, Henan Province, Jiaozuo, China.
Mengli LiDepartment of Traditional Chinese Medicine Surgery, Hebei University of Chinese Medicine, Shijiazhuang, China.
Jianhui GuoHebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, China.ORCID https://orcid.org/0000-0002-3972-3359

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the mechanism of the action of Huoluo Xiaoling Dan (HLXLD) in the treatment of psoriasis based on network pharmacology and molecular docking. Methods: The main active components and targets of HLXLD were collected from CMSP, and the targets related to psoriasis were collected from GeneCards, OMIM, TTD, DisGeNET, and DrugBank. Drug disease target genes were obtained by Venny tools, drug-component-target networks were constructed and analyzed, and pathway enrichment analysis was performed. AutoDockTools is used to connect the core components and the target, and PyMOL software is used to visualize the results. Results: 126 active components (such as quercetin, luteolin, tanshinone IIA, dihydrotanshinlactone, and beta-sitosterol) and 238 targets of HLXLD were screened out. 1,293 targets of psoriasis were obtained, and 123 drug-disease targets were identified. Key targets included AKT1, TNF, IL6, TP53, VEGFA, JUN, CASP3, IL1B, STAT3, PTGS2, HIF1A, EGF, MYC, EGFR, MMP9, and PPARG. Enrichment analysis showed that 735 GO analysis and 85 KEGG pathways were mainly involved in biological processes such as response to the drug, inflammatory response, gene expression, and cell proliferation and apoptosis, as well as signal pathways such as cancer, TNF, HIF-1, and T cell receptor. Molecular docking showed that there was strong binding activity between the active ingredient and the target protein. Conclusions: HLXLD could treat psoriasis through multicomponents, multitargets, and multipathways, which provides a new theoretical basis for further basic research and clinical application.

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PMID35265149
PMCPMC8898804

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