ArticleHeliyon2025
Exploration of the mechanism of Lithospermum erythrorhizon oil in treating atopic dermatitis based on network pharmacology and experimental validation of the PI3K-Akt pathway regulation.
Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 2 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
2 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A meta-analysis of the traditional herb Zicao and its active components for atopic dermatitis.Frontiers in pharmacology · 2025Pooled it
- Skin Barrier Repair and Nursing Care in Patients with Atopic Dermatitis: A Narrative Review.International journal of general medicine · 2025Review
Corrections and comments
- Retraction · 2026-01-22Concerns/Issues about Image · Investigation by Journal/Publisher · Unreliable Results and/or Conclusions ·
Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aimed to explore the molecular mechanisms of Lithospermum erythrorhizon oil in treating atopic dermatitis (AD), with a particular focus on its regulatory effect on the PI3K-Akt signaling pathway. Methods: Utilizing a network pharmacology approach integrated with experimental validation, we identified active components and potential targets of Lithospermum erythrorhizon oil via TCMSP, ChemSrc, PubChem, and PharmMapper. Common targets were selected by intersecting these with AD-related targets from GeneCards. A protein-protein interaction (PPI) network was built using STRING, and functional analysis Gene Ontology (GO) and pathway enrichment Kyoto Encyclopedia of Genes and Genomes (KEGG) were performed on Metascape. A Gene-miRNA regulatory network was constructed on miRTarBase and NetworkAnalyst, with miRNA functions annotated by miEAA. An AD mouse model induced by DNCB was established to evaluate Lithospermum erythrorhizon oil's therapeutic efficacy, its influence on inflammatory markers, and the PI3K-Akt pathway. Results: Fifteen common targets were found to be crucial in AD pathogenesis. The PPI network, constructed using STRING, revealed interactions among 13 nodes and 42 edges, with Cytoscape analysis highlighting 10 core targets. GO and KEGG analyses were significant in biological processes like cell migration and inflammatory response regulation, and in pathways such as IL-17 signaling and PI3K-Akt signaling. The Gene-miRNA network suggested Lithospermum erythrorhizon oil may regulate miRNAs like hsa-mir-124-3p and hsa-let-7b-5p. Experimental results showed that Lithospermum erythrorhizon oil significantly improved AD symptoms in mice, reduced IL-4 and IL-13 levels, and decreased p-PI3K, p-PI3K/PI3K, p-Akt, and p-Akt/Akt expression, inhibiting PI3K-Akt pathway activation. Conclusion: Lithospermum erythrorhizon oil exerts multi-target, multi-pathway therapeutic effects in AD, potentially through suppressing Th2-mediated immune responses and the PI3K-Akt signaling pathway, suggesting novel avenues for AD treatment strategies.
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Registered trials
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.