Evidence map›Paper›PMID 39465470›Full record

ArticleInflammation2025

Identification of Key Genes Related to Immune-Lipid Metabolism in Skin Barrier Damage and Analysis of Immune Infiltration.

Ying Tu, Hua Gu, Na Li, Dongjie Sun, Zhenghui Yang, Li He

Abstract read
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In one paragraph

Article in Inflammation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Seed Oil ofInternational journal of molecular sciences · 2026
    Article
  3. Article
  4. Review
  5. 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

6 authors.

Ying Tu *Department of Dermatology, First Affiliated Hospital of Kunming Medical University, No. 295 XiChang Road, KunMing, 650032, China.
Hua Gu *Department of Dermatology, First Affiliated Hospital of Kunming Medical University, No. 295 XiChang Road, KunMing, 650032, China.
Na LiDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, No. 295 XiChang Road, KunMing, 650032, China.
Dongjie SunDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, No. 295 XiChang Road, KunMing, 650032, China.
Zhenghui YangDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, No. 295 XiChang Road, KunMing, 650032, China.
Li HeDepartment of Dermatology, First Affiliated Hospital of Kunming Medical University, No. 295 XiChang Road, KunMing, 650032, China. ydyyheli@126.com.ORCID http://orcid.org/0000-0002-3601-3036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several physical and chemical factors regulate skin barrier function. Skin barrier dysfunction causes many inflammatory skin diseases, such as atopic dermatitis and psoriasis. Activation of the immune response may lead to damage to the epidermal barrier. Abnormal lipid metabolism is defined as abnormally high or low values of plasma lipid components such as plasma cholesterol and triglycerides. The mouse skin barrier damage model was used for RNA sequencing. Bioinformatics analysis and validation were performed. Differently expressed genes (DEGs) related to immune and lipid metabolism were screened by differentially expressed gene analysis, and the enriched biological processes and pathways of these genes were identified by GO-KEGG. The interactions between DEGs were confirmed by constructing a PPI network. GSEA, transcription factor regulatory network, and immune infiltration analyses were performed for the 10 genes. Expression validation was performed by public datasets. The expression of key genes in mouse skin tissue was detected by qPCR. The expression of differentially expressed immune cell markers in the skin was detected by immunofluorescence. Based on the trans epidermal water loss (TEWL) score, the expression of key genes was detected by qPCR before skin barrier injury, at 4h and 7d, and at recovery from injury. Il17a, Il6, Tnf, Itgam, and Cxcl1 were immune-related key genes. Pla2g2f, Ptgs2, Plb1, Pla2g3, and Pla2g2d were key genes for lipid metabolism. Database validation and experimental results revealed that the expression trends of these genes were consistent with our analyses. The research value of these genes has been demonstrated through mouse datasets and experimental validation, and future therapeutic approaches may be able to mitigate the disease by targeting these genes to modulate the function of the skin barrier.

Indexed as

Lipid MetabolismSkinAnimalsMiceBioinformaticsImmuneLipid metabolismSkin barrier

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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.