Evidence map›Paper›PMID 40910032›Full record

ArticleClinical, cosmetic and investigational dermatology2025

The ceRNA Regulatory Network in Vitiligo: Evidence from Bioinformatics Analysis.

Hedan Yang, Xiuzhen Li, Xiaoli Zhang, Yiping Ge, Yin Yang, Tong Lin

Abstract read
In one paragraph

Article in Clinical, cosmetic and investigational dermatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Hedan Yang *Department of Cosmetic Laser Surgery, Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.ORCID 0000-0001-6649-550X
Xiuzhen Li *Department of Cosmetic Laser Surgery, Hospital for Skin Diseases, Institute of Dermatology, Chinese Academy of Medical Sciences & Peking Union Medical College, Nanjing, 210042, People's Republic of China.ORCID 0000-0003-0928-0814
Xiaoli ZhangDepartment of Cosmetic Laser Surgery, Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.ORCID 0000-0002-2155-3072
Yiping GeDepartment of Cosmetic Laser Surgery, Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.ORCID 0000-0003-4298-7600
Yin YangDepartment of Cosmetic Laser Surgery, Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.ORCID 0000-0001-7469-4218
Tong LinJiangsu Key Laboratory of Molecular Biology for Skin Diseases and STIs, Hospital of Dermatology, Chinese Academy of Medical Sciences and Peking Union Medical College, Nanjing, 210042, People's Republic of China.ORCID 0000-0001-5336-9192

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vitiligo is an acquired depigmentary disorder caused by the loss of functional melanocytes. Increasing evidence suggests that competing endogenous RNA (ceRNA) interactions participate in this process, yet their global architecture in vitiligo remains unclear. Objective: To delineate a long non-coding RNA (lncRNA)-microRNA (miRNA)-mRNA ceRNA network associated with vitiligo and to identify blood-borne RNA markers with diagnostic potential. Methods: miRNA, mRNA, and lncRNA expression data from vitiligo patients and healthy controls were obtained from the GEO database (GSE141655 and GSE186928). Differentially expressed (DE) mRNAs, miRNAs and lncRNAs were screened (|log Results: A total of 454 DE-mRNAs (341 down-, 113 up-regulated), 22 DE-miRNAs (6 down-, 16 up-regulated), and 281 DE-lncRNAs (112 down-, 169 up-regulated) were identified. Enrichment analysis highlighted pathways linked to melanogenesis, oxidative stress, PI3K-Akt, JAK-STAT and IL-17 signalling. The ceRNA network comprised 33 lncRNAs, 12 miRNAs and 58 mRNAs; SLC32A1, GRIA2, PRKACG and WNT1 were top hub proteins in the PPI sub-network. Blood validation confirmed up-regulation of CASC19, NUCB1-AS1 and LINC01485 and down-regulation of VAV3-AS1, SPATA13-AS1, ZNF350-AS1 and LINC00677 (all Conclusion: Our findings map a vitiligo-related ceRNA landscape and pinpoints seven circulating lncRNAs with diagnostic promise. The results provide a foundation for probing non-coding RNA-mediated mechanisms and developing targeted therapies for vitiligo.

Indexed as

bioinformaticsceRNAlncRNAvitiligo

Identifiers

PMID40910032
PMCPMC12407014

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.