Evidence map›Paper›PMID 23251420›Full record

ArticlePloS one2012

Transcriptome analysis reveals markers of aberrantly activated innate immunity in vitiligo lesional and non-lesional skin.

Richard Yu, Raewyn Broady, Yuanshen Huang, Yang Wang, Jie Yu, Min Gao, Megan Levings, Shencai Wei, Shengquan Zhang, Aie Xu and 4 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03859518 (Study of the Role of Innate Lymphoid Cells and Natural Killer Cells in Immune Activation of Vitiligo), which is not on this map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing papers in PubMed
1.7field-weighted citation impact, top 19% of its field
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.

NCT03859518 completednot on this mapstarted 2016, after this paper: background citation

Study of the Role of Innate Lymphoid Cells and Natural Killer Cells in Immune Activation of Vitiligo

TypeobservationalSponsorCentre Hospitalier Universitaire de NiceRan2016 to 2019Enrolled20ConditionsVitiligoArmsblood and skin samples
3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 119 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
  4. The immunology of vitiligo.Nature reviews. Immunology · 2026
    Review
  5. Review
  6. Article
  7. Vitiligo.Nature reviews. Disease primers · 2025
    Review
  8. Epigenetic Modifications in Vitiligo.Clinical reviews in allergy & immunology · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Assessment of serum granulysin and cathepsin-L levels in vitiligo patients.Revista da Associacao Medica Brasileira (1992) · 2024
    Article
  17. Evaluation of polymorphisms and expression ofPostepy dermatologii i alergologii · 2023
    Article
  18. How Does Vitamin D Affect Immune Cells Crosstalk in Autoimmune Diseases?International journal of molecular sciences · 2023
    Review
  19. Review
  20. 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

14 authors at 4 institutions in 2 countries.

Richard YuInstitute of Dermatology, Anhui Medical University, Hefei, China.
Raewyn Broady
Yuanshen Huang
Yang Wang
Jie Yu
Min Gao
Megan Levings
Shencai Wei
Shengquan Zhang
Aie Xu
Mingwan Su
Jan Dutz
Xuejun Zhang
Youwen Zhou
University of British Columbia · CAAnhui Medical University · CNBC Cancer Agency · CAThird People's Hospital of Hangzhou · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVitiligo is characterized by the death of melanocytes in the skin. This is associated with the presence of T cell infiltrates in the lesional borders. However, at present, there is no detailed and systematic characterization on whether additional cellular or molecular changes are present inside vitiligo lesions. Further, it is unknown if the normal appearing non-lesional skin of vitiligo patients is in fact normal. The purpose of this study is to systematically characterize the molecular and cellular characteristics of the lesional and non-lesional skin of vitiligo patients. METHODS AND MATERIALS: Paired lesional and non-lesional skin biopsies from twenty-three vitiligo patients and normal skin biopsies from sixteen healthy volunteers were obtained with informed consent. The following aspects were analyzed: (1) transcriptome changes present in vitiligo skin using DNA microarrays and qRT-PCR; (2) abnormal cellular infiltrates in vitiligo skin explant cultures using flow cytometry; and (3) distribution of the abnormal cellular infiltrates in vitiligo skin using immunofluorescence microscopy.

resultsCompared with normal skin, vitiligo lesional skin contained 17 genes (mostly melanocyte-specific genes) whose expression was decreased or absent. In contrast, the relative expression of 13 genes was up-regulated. The up-regulated genes point to aberrant activity of the innate immune system, especially natural killer cells in vitiligo. Strikingly, the markers of heightened innate immune responses were also found to be up-regulated in the non-lesional skin of vitiligo patients. CONCLUSIONS AND CLINICAL IMPLICATIONS: As the first systematic transcriptome characterization of the skin in vitiligo patients, this study revealed previously unknown molecular markers that strongly suggest aberrant innate immune activation in the microenvironment of vitiligo skin. Since these changes involve both lesional and non-lesional skin, our results suggest that therapies targeting the entire skin surface may improve treatment outcomes. Finally, this study revealed novel mediators that may facilitate future development of vitiligo therapies.

Indexed as

AdolescentAdultAgedFemaleGene ExpressionGene Expression ProfilingHumansImmunity, InnateKeratinocytesKiller Cells, NaturalMaleMelanocytesMiddle AgedSkinT-LymphocytesVitiligo

Identifiers

PMID23251420
PMCPMC3519491
OpenAlexW1971058703

What OpenQuestion holds

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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.