Evidence map›Paper›PMID 25897967›Full record

ArticleBMC genomics2015

Transcriptional landscape of psoriasis identifies the involvement of IL36 and IL36RN.

Maris Keermann, Sulev Kõks, Ene Reimann, Ele Prans, Kristi Abram, Külli Kingo

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

47 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Cardiovascular Disease and Psoriasis.Dermatology and therapy · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Multi-Omics Research Strategies for Psoriasis and Atopic Dermatitis.International journal of molecular sciences · 2023
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
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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 at 3 institutions in 1 country.

Maris KeermannDepartment of Dermatology, University of Tartu, Tartu, Estonia. maris.keerman@kliinikum.ee.
Sulev KõksDepartment of Pathophysiology, Centre of Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia. sulev.koks@ut.ee.
Ene ReimannDepartment of Pathophysiology, Centre of Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia. ene.reiamnn@ut.ee.
Ele PransDepartment of Pathophysiology, Centre of Translational Medicine, University of Tartu, 19 Ravila Street, 50411, Tartu, Estonia. ele.prans@ut.ee.
Kristi AbramDepartment of Dermatology, University of Tartu, Tartu, Estonia. kristi.adram@kliinikum.ee.
Külli KingoDepartment of Dermatology, University of Tartu, Tartu, Estonia. kylli.kingo@kliinikum.ee.
University of Tartu · EEEstonian University of Life Sciences · EETartu University Hospital · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn present study we performed whole transcriptome analysis in plaque psoriasis patients and compared lesional skin with non-lesional skin and with the skin from healthy controls. We sequenced total RNA from 12 lesional (LP), 12 non-lesional (NLP) and from 12 normal (C) skin biopsies.

resultsCompared with previous gene expression profiling studies we had three groups under analysis - LP, NLP and C. Using NLP samples allows to see the transcriptome of visually normal skin from psoriasis patient. In LP skin S100A12, S100A7A, LCE3E, DEFB4A, IL19 were found up regulated. In addition to already these well-described genes, we also found several other genes related to psoriasis. Namely, KLK9, OAS2, OAS3, PLA2G, IL36G, IL36RN were found to be significantly and consistently related to the psoriatic lesions and this finding is supported also by previous studies. The genes up-regulated in the LP samples were related to the innate immunity, IL17 and IL10 networks. In NLP samples innate immunity and IL17 network were activated, but activation of IL10 network was not evident. The transcriptional changes characteristic in the NLP samples can be considered as a molecular signature of "dormant psoriasis".

conclusionsTaken together, our study described the transcriptome profile characteristic for LP and NLP psoriatic skin. RNA profile of the NLP skin is in between the lesional and healthy skin, with its own specific pattern. We found that both LP and NLP have up-regulated IL17 network, whereas LP skin has up regulated IL10 related cytokines (IL19, IL20, IL24). Moreover, IL36G and IL36RN were identified as strong regulators of skin pathology in both LP and NLP skin samples, with stronger influence in LP samples.

Indexed as

AdolescentAdultFemaleGene Expression ProfilingHigh-Throughput Nucleotide SequencingHumansImmunity, InnateInterleukin-1InterleukinsMaleMiddle AgedPsoriasisReal-Time Polymerase Chain ReactionSequence Analysis, RNASkinTranscriptomeIL36G protein, humanIL36RN protein, humanInterleukin-1Interleukins

Identifiers

PMID25897967
PMCPMC4405864
OpenAlexW2046432787

What OpenQuestion holds

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LicenceCC BY
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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.