Evidence map›Paper›PMID 31973112›Full record

ReviewInternational journal of molecular sciences2020

Review-Current Concepts in Inflammatory Skin Diseases Evolved by Transcriptome Analysis: In-Depth Analysis of Atopic Dermatitis and Psoriasis.

Julius Schwingen, Mustafa Kaplan, Florian C Kurschus

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Review
  2. The regulatory effects of vitamins on immunity and skin health.Archives of dermatological research · 2025
    Article
  3. Article
  4. The role of microRNAs in atopic dermatitis.Non-coding RNA research · 2024
    Review
  5. Microenvironmental host-microbe interactions in chronic inflammatory skin diseases.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2024
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. The Development of Human Ex Vivo Models of Inflammatory Skin Conditions.International journal of molecular sciences · 2023
    Article
  11. Effect ofPlants (Basel, Switzerland) · 2023
    Article
  12. Patient education in atopic dermatitis: a scoping review.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2023
    Article
  13. Article
  14. Multi-Omics Research Strategies for Psoriasis and Atopic Dermatitis.International journal of molecular sciences · 2023
    Review
  15. Article
  16. Article
  17. Molecules (Basel, Switzerland) · 2022
    Article
  18. Article
  19. Article
  20. 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

3 authors.

Julius SchwingenDepartment of Dermatology, Heidelberg University Hospital, 69120 Heidelberg, Germany.ORCID 0000-0002-3600-5757
Mustafa KaplanDepartment of Dermatology, Heidelberg University Hospital, 69120 Heidelberg, Germany.
Florian C KurschusDepartment of Dermatology, Heidelberg University Hospital, 69120 Heidelberg, Germany.ORCID 0000-0001-7550-0681

Funding

Deutsche Forschungsgemeinschaft TR156 C01
6 · The paper itself

Abstract

During the last decades, high-throughput assessment of gene expression in patient tissues using microarray technology or RNA-Seq took center stage in clinical research. Insights into the diversity and frequency of transcripts in healthy and diseased conditions provide valuable information on the cellular status in the respective tissues. Growing with the technique, the bioinformatic analysis toolkit reveals biologically relevant pathways which assist in understanding basic pathophysiological mechanisms. Conventional classification systems of inflammatory skin diseases rely on descriptive assessments by pathologists. In contrast to this, molecular profiling may uncover previously unknown disease classifying features. Thereby, treatments and prognostics of patients may be improved. Furthermore, disease models in basic research in comparison to the human disease can be directly validated. The aim of this article is not only to provide the reader with information on the opportunities of these techniques, but to outline potential pitfalls and technical limitations as well. Major published findings are briefly discussed to provide a broad overview on the current findings in transcriptomics in inflammatory skin diseases.

Indexed as

TranscriptomeComputational BiologyDatabases, FactualDermatitis, AtopicGene Expression ProfilingHumansPrognosisPsoriasisRNA-SeqSkinSkin Diseasesacneatopic dermatitiscontact dermatitiseczemainflammatory skin diseasesmicroarraypsoriasisRNA-SeqscRNA-Seqtranscriptomics

Identifiers

PMID31973112
PMCPMC7037913

What OpenQuestion holds

Textmetadata
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.