Evidence map›Paper›PMID 33750880›Full record

ArticleScientific reports2021

High S100A2 expression in keratinocytes in patients with drug eruption.

Manabu Yoshioka, Yu Sawada, Natsuko Saito-Sasaki, Haruna Yoshioka, Kayo Hama, Daisuke Omoto, Shun Ohmori, Etsuko Okada, Motonobu Nakamura

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.4field-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.

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

18 citing papers in PubMed, 20 citations in OpenAlex.

  1. Imaging transcriptomics in basal cell carcinoma: Coupling in vivo tumor morphology with gene expression.JID innovations : skin science from molecules to population health · 2026
    Article
  2. Article
  3. Article
  4. Updates in the pathogenesis of SJS/TEN.Allergology international : official journal of the Japanese Society of Allergology · 2025
    Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
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  11. Pathogenic role of S100 proteins in psoriasis.Frontiers in immunology · 2023
    Review
  12. Article
  13. Review
  14. Article
  15. Influence of S100A2 in Human Diseases.Diagnostics (Basel, Switzerland) · 2022
    Review
  16. Review
  17. Diagnostic Tools and Biomarkers for Severe Drug Eruptions.International journal of molecular sciences · 2021
    Review
  18. 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

9 authors at 1 institution in 1 country.

Manabu YoshiokaDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Yu SawadaDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan. long-ago@med.uoeh-u.ac.jp.
Natsuko Saito-SasakiDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Haruna YoshiokaDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Kayo HamaDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Daisuke OmotoDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Shun OhmoriDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Etsuko OkadaDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan.
Motonobu NakamuraDepartment of Dermatology, University of Occupational and Environmental Health, 1-1 Iseigaoka, Yahatanishi-ku, Kitakyushu, 807-8555, Japan. motonaka@med.uoeh-u.ac.jp.
University of Occupational and Environmental Health Japan · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Telaprevir used as a protease inhibitor against hepatitis C virus is frequently associated with cutaneous adverse reactions. To explore a histological biomarker of cutaneous adverse events induced by telaprevir, we systematically searched for genes that were dysregulated by telaprevir in normal human epidermal keratinocytes (NHEKs). Microarray analysis and real-time polymerase chain reaction (PCR) revealed the significant increase in the expression of S100 calcium-binding protein A2 (S100A2) gene following treatment of NHEKs with telaprevir. Immunohistochemical analysis demonstrated that the expression of S100A2 was dominant in the spinous layer of the epidermis in patients with telaprevir-mediated severe-type drug eruptions and limited to the basal layer of the epidermis in healthy subjects. Furthermore, S100A2 expression increased after treatment with trichloroethylene and other medications, and the degree of S100A2 expression correlated with the severity of cutaneous adverse events. S100A2 expression also significantly increased in the skin of patients with atopic dermatitis and psoriasis. Taken together, S100A2 is highly expressed in the epidermis under inflammatory conditions and drug eruptions and may serve as a marker for keratinocyte damage in response to any inflammatory or toxic condition.

Indexed as

AgedChemotactic FactorsDrug EruptionsFemaleGene Expression RegulationHepacivirusHepatitis CHumansKeratinocytesMaleMiddle AgedOligopeptidesS100 ProteinsChemotactic FactorsOligopeptidesS100A2 protein, humanS100 Proteinstelaprevir

Identifiers

PMID33750880
PMCPMC7943585
OpenAlexW3133987144

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.