Evidence map›Paper›PMID 39177325›Full record

ArticleSkin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)2024

Co-regulatory mechanisms and potential markers of oxidative stress-related genes in vitiligo and alopecia areata.

Chao Sun, Honghua Ding, Li Zhang, Junling Wang, Mengyun Su

Abstract read
In one paragraph

Article in Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI), 2024. 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. Review
  3. Article
  4. Article
  5. Co-regulatory mechanisms and potential markers of oxidative stress-related genes in vitiligo and alopecia areata.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
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

5 authors.

Chao SunDepartment of Dermatology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Honghua DingDepartment of Dermatology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Li ZhangDepartment of Dermatology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Junling WangDepartment of Dermatology, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Mengyun SuDepartment of Dermatology, Renmin Hospital of Wuhan University, Wuhan, China.

Funding

Nanshan District health system Science and Technology Major Project NSZD2023052Shenzhen Basic Research Project (Natural Science Foundation) JCYJ20230807115407016Shenzhen Nanshan District Science and Technology Project NS2022037
6 · The paper itself

Abstract

backgroundThe specific role of oxidative stress (OS) in vitiligo and alopecia areata (AA) remains unclear. The aim of this study was to analyze and identify the key markers of OS in vitiligo and AA by bioinformatics.

methodsWe obtained vitiligo and AA datasets from gene expression omnibus (GEO) database. The difference-expressed genes of vitiligo and AA were identified by differential analysis, and the functions of difference-expressed genes were identified by gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) enrichment analysis. Subsequently, Veen package was used to obtain the intersection genes of OS-related genes with vitiligo and AA. Finally, we used CIBERSORT to assess the infiltration of immune cells in vitiligo and AA.

resultsThrough enrichment analysis, we found that vitiligo and AA were mainly enriched in cell cycle and cell adhesion molecular channels. We identified KLB and EIF3C as key genes in OS regulation of vitiligo and AA, and found that KLB and EIF3C participate in disease progression by regulating T cells and neutrophils.

conclusionsAccording to our findings, KLB and EIF3C play a crucial role in the progression and development of vitiligo and AA, which have been identified as biomarkers and target for early diagnosis of patients.

Indexed as

Alopecia AreataOxidative StressVitiligoBiomarkersComputational BiologyDatabases, GeneticGene Expression ProfilingGene OntologyHumansBiomarkersAAbioinformation analysisbiomarkeroxidative stressvitiligo

Identifiers

PMID39177325
PMCPMC11342463

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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 OpenQuestion graph.