Evidence map›Paper›PMID 37575231›Full record

ArticleFrontiers in immunology2023

Combining network pharmacology, molecular docking, molecular dynamics simulation, and experimental verification to examine the efficacy and immunoregulation mechanism of FHB granules on vitiligo.

Xiaolong Li, Fengze Miao, Rujuan Xin, Zongguang Tai, Huijun Pan, Hao Huang, Junxia Yu, Zhongjian Chen, Quangang Zhu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in immunology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
8.6field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 41 citations in OpenAlex.

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  7. Computational and Experimental Analysis ofMolecules (Basel, Switzerland) · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Xiaolong LiShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Fengze MiaoShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Rujuan XinShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Zongguang TaiShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Huijun PanShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Hao HuangShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Junxia YuShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Zhongjian ChenShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Quangang ZhuShanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.
Tongji University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Fufang Honghua Buji (FHB) granules, have proven efficacy against vitiligo in long-term clinical practice. However, its major active chemical components and molecular mechanisms of action remain unknown. The purpose of this study was to confirm the molecular mechanism of FHB's therapeutic effect on vitiligo utilizing network pharmacology, molecular docking, and molecular dynamics simulation prediction, as well as experimental verification. Methods: Traditional Chinese Medicine Systems Pharmacology (TCMSP) and HERB databases were used to obtain the chemical composition and action targets of FHB. Online Mendelian Inheritance in Man (OMIM), DrugBank, DisGeNET, GeneCards, and Therapeutic Target Database (TTD) databases were applied to screen for vitiligo-related targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed through the Matascape database. Molecular docking and dynamics simulation methods were for the analysis of the binding sites and binding energies between the FHB's active components and the targets. Finally, a vitiligo mouse model was created, and the therapeutic effect and molecular mechanism of action of FHB were validated using enzyme linked immunosorbent assay (ELISA), western blot (WB), and quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Additionally, hematoxylin-eosin staining (HE) and blood biochemical assays were conducted to assess the biosafety of FHB. Result: The screening of chemical composition and targets suggested that 94 genetic targets of FHB were associated with vitiligo. The bioinformatics analysis suggested that luteolin, quercetin, and wogonin may be major active components, and nuclear factor-kappa B p65 subunit (RELA), signal transducer, and activator of transcription (STAT) 3 and RAC-alpha serine/threonine-protein kinase (AKT) 1 may be potential targets of FHB-vitiligo therapy. Molecular docking and dynamics simulation further demonstrated that luteolin, quercetin, and wogonin all bound best to STAT3. Through experimental verification, FHB has been demonstrated to alleviate the pathogenic characteristics of vitiligo mice, suppress the JAK-STAT signaling pathway, reduce inflammation, and increase melanogenesis. The Conclusions: FHB exerts anti-inflammatory and melanogenesis-promoting effects via the effect of multi-component on multi-target, among which the JAK-STAT pathway is a validated FHB-vitiligo target, providing new ideas and clues for the development of vitiligo therapy.

Indexed as

VitiligoAnimalsDatabases, GeneticJanus KinasesLuteolinMiceMolecular Docking SimulationMolecular Dynamics SimulationNetwork PharmacologyQuercetinSignal TransductionSTAT Transcription FactorsJanus KinasesLuteolinQuercetinSTAT Transcription Factorsanti-inflammationFufang Honghua Buji granulesJAK-STAT pathwaymolecular dockingmolecular dynamics simulationnetwork pharmacologyvitiligo

Identifiers

PMID37575231
PMCPMC10414113
OpenAlexW4385291440

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.