scholarly journals IL-33 and ST2 in Atopic Dermatitis: Expression Profiles and Modulation by Triggering Factors

2012 ◽  
Vol 132 (5) ◽  
pp. 1392-1400 ◽  
Author(s):  
Terhi Savinko ◽  
Sampsa Matikainen ◽  
Ulpu Saarialho-Kere ◽  
Maili Lehto ◽  
Guoying Wang ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Expression Profiles ◽  
Triggering Factors

Gene Expression Profiles of Hair Root Tissue of Atopic Dermatitis

2009 ◽  
Vol 123 (2) ◽  
pp. S38-S38
Author(s):  
A. Yagami ◽  
K. Futamura ◽  
A. Matsuda ◽  
K. Orihara ◽  
N. Hashimoto ◽  
...  
Keyword(s):  
Gene Expression ◽  
Atopic Dermatitis ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Root Tissue ◽  
Hair Root

scholarly journals Expression Profiles of Genes Encoding Cornified Envelope Proteins in Atopic Dermatitis and Cutaneous T-Cell Lymphomas

Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 862
Author(s):  
Magdalena Trzeciak ◽  
Berenika Olszewska ◽  
Monika Sakowicz-Burkiewicz ◽  
Małgorzata Sokołowska-Wojdyło ◽  
Jerzy Jankau ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
T Cell ◽  
Expression Profiles ◽  
Skin Barrier ◽  
Control Group ◽  
Mrna Levels ◽  
Barrier Dysfunction ◽  
Cornified Envelope ◽  
Protein Levels ◽  
T Cell Lymphomas

The skin barrier defect in cutaneous T-cell lymphomas (CTCL) was recently confirmed to be similar to the one observed in atopic dermatitis (AD). We have examined the expression level of cornified envelope (CE) proteins in CTCL, AD and healthy skin, to search for the differences and their relation to the courses of both diseases. The levels of FLG, FLG2, RPTN, HRNR, SPRR1A, SPRR1B, SPRR3 and LELP-1 mRNA were determined by qRT-PCR, while protein levels were examined using the ELISA method in skin samples. We have found that mRNA levels of FLG, FLG2, LOR, CRNN and SPRR3v1 were decreased (p ≤ 0.04), whereas mRNA levels of RPTN, HRNR and SPRR1Av1 were increased in lesional and nonlesional AD skin compared to the healthy control group (p ≤ 0.04). The levels of FLG, FLG2, CRNN, SPRR3v1 mRNA increased (p ≤ 0.02) and RPTN, HRNR and SPRR1Av1 mRNA decreased (p ≤ 0.005) in CTCL skin compared to the lesional AD skin. There was a strong correlation between the stage of CTCL and increased SPRR1Av1 gene expression at both mRNA (R = 0.89; p ≤ 0.05) and protein levels (R = 0.94; p ≤ 0.05). FLG, FLG2, RPTN, HRNR and SPRR1A seem to play a key role in skin barrier dysfunction in CTCL and could be considered a biomarker for differential diagnosis of AD and CTCL. SPRR1Av1 transcript levels seem to be a possible marker of CTCL stage, however, further studies on a larger study group are needed to confirm our findings.

scholarly journals Characterization of Circular RNA Transcriptomes in Psoriasis and Atopic Dermatitis Reveals Disease-specific Expression Profiles

2020 ◽  
Author(s):  
Liviu Ionut Moldovan ◽  
Lam Alex Tsoi ◽  
Stephen Weidinger ◽  
Johann Gudjonsson ◽  
Jørgen Kjems ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Skin Diseases ◽  
Expression Profiles ◽  
Circular Rna ◽  
Detection Algorithm ◽  
Healthy Skin ◽  
Inflammatory Skin Diseases ◽  
Specific Expression ◽  
Lesional Skin ◽  
Inflammatory Skin

AbstractBackgroundAtopic dermatitis (AD) and psoriasis, two chronic inflammatory skin diseases, affect a large number of individuals worldwide, and are associated with various comorbidities. Circular RNA (circRNA) constitute a major class of non-coding RNAs that have been implicated in many human diseases, although their potential involvement in inflammatory skin diseases remains elusive.ObjectivesTo compare and contrast the circRNA expression landscapes in paired lesional and non-lesional skin from psoriasis and AD patients relative to skin from unaffected individuals. Moreover, to correlate circRNA expression to disease severity.MethodsWe analyzed high-depth RNA-seq data from paired lesional and non-lesional skin samples from 27 AD patients, 28 psoriasis patients, and 38 healthy controls. CircRNAs and their cognate linear transcripts were quantified using the circRNA detection algorithm, CIRI2.ResultsWe identified 39,286 unique circRNAs in total and found that psoriasis and AD lesional skin could be distinguished from non-lesional and healthy skin based on circRNA expression landscapes. In general, circRNAs were less abundant in lesional relative to non-lesional and healthy skin. Differential expression analyses revealed many significantly downregulated circRNAs, mainly in psoriasis lesional skin, and a strong correlation between psoriasis and AD-related circRNA expression changes was observed. A subset of circRNAs, including ciRS-7, was specifically dysregulated in psoriasis and show promise as biomarkers for discriminating AD from psoriasis.ConclusionPsoriasis and circRNA transcriptomes share expression features, including a global downregulation, but only psoriasis is characterized by several circRNAs being dysregulated independently of their cognate linear transcripts.

Atopic dermatitis: Triggering factors

1994 ◽  
Vol 31 (3) ◽  
pp. 467-473 ◽  
Author(s):  
Marie-Anne Morren ◽  
Bernhard Przybilla ◽  
Mia Bamelis ◽  
Bieke Heykants ◽  
Annelies Reynaers ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Triggering Factors

scholarly journals Characterization of circular RNA transcriptomes in psoriasis and atopic dermatitis reveals disease‐specific expression profiles

2020 ◽  
Author(s):  
Liviu I. Moldovan ◽  
Lam C. Tsoi ◽  
Uppala Ranjitha ◽  
Henrik Hager ◽  
Stephen Weidinger ◽  
...  
Keyword(s):  
Atopic Dermatitis ◽  
Expression Profiles ◽  
Circular Rna ◽  
Specific Expression ◽  
Disease Specific

scholarly journals Bioinformatic analysis of key pathways and genes involved in pediatric atopic dermatitis

2020 ◽  
Author(s):  
Tianyi Wang ◽  
Bingxin Zhang ◽  
Danhui Li ◽  
Xiaoli Qi ◽  
Chijin Zhang
Keyword(s):  
Atopic Dermatitis ◽  
Actin Cytoskeleton ◽  
Signaling Pathway ◽  
Expression Profiles ◽  
Receptor Interaction ◽  
Interleukin 17 ◽  
Hub Genes ◽  
Chemokine Signaling ◽  
Chemokine Signaling Pathway ◽  
Regulation Of Actin Cytoskeleton

The initiation of atopic dermatitis (AD) typically happens very early in life, but most of our understanding of AD is derived from studies on AD patients in adult. The aim of this study was to identify gene signature speficic to pediatric AD comapred to adult AD. The gene expression profiles of four datasets (GSE32924, GSE36842, GSE58558, and GSE107361) were downloaded from the GEO database. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analyses were performed, and protein-protein interaction (PPI) network was constructed by Cytoscape software. Total 654 differentially expressed genes (DEGs) (394 up-regulated and 260 down-regulated) were identified in pediatric AD samples with adult AD samples as control. The up-regulated DEGs were significantly enriched in the migration and chemotaxis of granulocyte and neutrophil, while down-regulated DEGs were significantly enriched in biological adhesion. KEGG pathway analysis showed that up-regulated DEGs participated in chemokine signaling pathway while down-regulated DEGs participated in adherens junction, Focal adhesion, Regulation of actin cytoskeleton. The top 10 hub genes, GAPDH, EGFR, ACTB, ESR1, CDK1, CXCL8, CD44, KRAS, PTGS2, SMC3 were involved in chemokine signaling pathway, cytokine-cytokine receptor interaction, interleukin-17 signaling pathway, and regulation of actin cytoskeleton. In conclusion, we identified DEGs and hub genes involved in pediatric AD, which might be used as therapeutic targets and diagnostic biomarkers for pediatric AD.

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