Evidence map›Paper›PMID 40179089›Full record

ArticlePloS one2025

Network pharmacology and in silico analysis reveal Kochiae Fructus as a potential therapeutic against atopic dermatitis through immunomodulatory pathway interactions.

Shakeel Ahmad Khan

Abstract read
In one paragraph

Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
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

1 author.

Shakeel Ahmad KhanDepartment of Chemistry, University of Management and Technology Lahore, Pakistan.ORCID 0000-0003-0967-3079

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atopic dermatitis (AD), a chronic inflammatory disorder, poses significant therapeutic challenges owing to its complex pathophysiology, involving disrupted epidermal barrier function and immune dysregulation. This study investigated the therapeutic potential of Kochiae Fructus in AD treatment using bioinformatics, including network pharmacology and molecular docking techniques. We identified 19 key phytochemicals from Kochiae Fructus and 268 potential targets using the Traditional Chinese Medicine Systems Pharmacology Database (TCMSP) and SwissTarget Prediction. Using GeneCards, 1786 AD-related genes were retrieved, resulting in 116 intersecting gene targets for further analysis. Protein-protein interaction (PPI) networks and Molecular Complex Detection (MCODE) analyses highlighted 78 anti-AD key targets, including SRC, MAPK3, MAPK1, JUN, PIK3CA, ESR1, PTGS2, PTPN11, IL-6, and ALOX5, among the top ten anti-AD core targets. Gene ontology (GO) enrichment analysis revealed that Kochiae Fructus affects biological processes and molecular functions, such as positive regulation of the apoptotic response, inflammatory response, and hormone-mediated signaling pathways, which may be associated with its anti-AD effects. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis showed that the C-type lectin receptor signaling pathway is the main pathway involved in the anti-AD effects of Kochiae Fructus, which interacts with a notably larger number of anti-AD core targets and plays a direct role in intensifying crucial inflammatory and immune responses in the heart of AD pathogenesis. Molecular docking demonstrated robust binding affinities of key phytochemicals, particularly ecdysterone and 11,14-eicosadienoic acid, to the anti-AD core targets. Molecular dynamics simulations of over 1000 ns confirmed the stability and potential efficacy of these interactions. Hence, this study underscores the therapeutic potential of Kochiae Fructus in AD management, offering a mechanistic basis for its clinical application and paving the way for novel anti-AD strategies that leverage TCM phytochemicals.

Indexed as

Dermatitis, AtopicDrugs, Chinese HerbalNetwork PharmacologyComputational BiologyComputer SimulationGene OntologyHumansMedicine, Chinese TraditionalMolecular Docking SimulationPhytochemicalsProtein Interaction MapsSignal TransductionDrugs, Chinese HerbalPhytochemicals

Identifiers

PMID40179089
PMCPMC11967982

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Registered trials

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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 OpenQuestion graph.