Evidence map›Paper›PMID 20523796›Full record

ArticleAnnals of dermatology2009

A global gene expression analysis of the peripheral blood mononuclear cells reveals the gene expression signature in psoriasis.

Sang-Keun Lee, Eun-Kyoung Jeon, Yu-Jin Kim, Sam-Hwa Seo, Chang-Deok Kim, Jong-Soon Lim, Jeung-Hoon Lee

Open access · hybridAbstract read
In one paragraph

Article in Annals of dermatology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
0.4field-weighted citation impact, top 34% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

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  6. Interleukin-7 and Immunosenescence.Journal of immunology research · 2017
    Review
  7. CD19+ B cell subsets in the peripheral blood and skin lesions of psoriasis patients and their correlations with disease severity.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2016
    Article
  8. 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

7 authors at 2 institutions in 1 country.

Sang-Keun LeeCollege of Oriental Medicine, Daejeon University, Daejeon, Korea.
Eun-Kyoung Jeon
Yu-Jin Kim
Sam-Hwa Seo
Chang-Deok Kim
Jong-Soon Lim
Jeung-Hoon Lee
Chungnam National University · KRDaejeon University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPsoriasis is a chronic inflammatory skin disease that affects approximately 1~3% of the general population.

objectiveWe performed cDNA microarray analysis with using the dendrimer labelling method to investigate the gene expression profile in the peripheral blood mononuclear cells (PBMCs) of psoriatic patients.

methodsThe peripheral blood mononuclear cells of 5 patients with psoriasis and 8 control subjects were used in the gene expression analyses of psoriasis.

resultsWe identified 212 differentially expressed genes that showed at least a two-fold induction and/or reduction in psoriatic patients. Among those, 63 genes, including CD44, CD56 and IL7R, were induced, while 139 genes, including the sphingosine kinase 1 and p16-INK genes, were reduced in the psoriatic patients.

conclusionWe can speculate that these genes may have a role for the pathogenesis of psoriasis via their affecting different cellular functions. Our results suggest a possible mechanism by which activated immune cells migrate from the blood to the skin in psoriatic patients, and we provide novel putative targets for developing drugs to treat psoriasis.

Indexed as

Cell adhesionMicroarrayPeripheral blood mononuclear cellsPsoriasis

Identifiers

PMID20523796
PMCPMC2861227
OpenAlexW2080189659

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.