Atopic Dermatitis Is an IL-13-Dominant Disease with Greater Molecular Heterogeneity Compared to Psoriasis

Atopic dermatitis (AD) affects up to 20% of children and adults worldwide. To gain a deeper understanding of the pathophysiology of AD, we conducted a large-scale transcriptomic study of AD with deeply sequenced RNA-sequencing samples using long (126-bp) paired-end reads. In addition to the comparis...

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Published in:Journal of investigative dermatology Vol. 139; no. 7; p. 1480
Main Authors: Tsoi, Lam C, Rodriguez, Elke, Degenhardt, Frauke, Baurecht, Hansjörg, Wehkamp, Ulrike, Volks, Natalie, Szymczak, Silke, Swindell, William R, Sarkar, Mrinal K, Raja, Kalpana, Shao, Shuai, Patrick, Matthew, Gao, Yilin, Uppala, Ranjitha, Perez White, Bethany E, Getsios, Spiro, Harms, Paul W, Maverakis, Emanual, Elder, James T, Franke, Andre, Gudjonsson, Johann E, Weidinger, Stephan
Format: Journal Article
Language:English
Published: United States 01.07.2019
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ISSN:1523-1747, 1523-1747
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Abstract Atopic dermatitis (AD) affects up to 20% of children and adults worldwide. To gain a deeper understanding of the pathophysiology of AD, we conducted a large-scale transcriptomic study of AD with deeply sequenced RNA-sequencing samples using long (126-bp) paired-end reads. In addition to the comparisons against previous transcriptomic studies, we conducted in-depth analysis to obtain a high-resolution view of the global architecture of the AD transcriptome and contrasted it with that of psoriasis from the same cohort. By using 147 RNA samples in total, we found striking correlation between dysregulated genes in lesional psoriasis and lesional AD skin with 81% of AD dysregulated genes being shared with psoriasis. However, we described disease-specific molecular and cellular features, with AD skin showing dominance of IL-13 pathways, but with near undetectable IL-4 expression. We also demonstrated greater disease heterogeneity and larger proportion of dysregulated long noncoding RNAs in AD, and illustrated the translational impact, including skin-type classification and drug-target prediction. This study is by far the largest study comparing the AD and psoriasis transcriptomes using RNA sequencing and demonstrating the shared inflammatory components, as well as specific discordant cytokine signatures of these two skin diseases.
AbstractList Atopic dermatitis (AD) affects up to 20% of children and adults worldwide. To gain a deeper understanding of the pathophysiology of AD, we conducted a large-scale transcriptomic study of AD with deeply sequenced RNA-sequencing samples using long (126-bp) paired-end reads. In addition to the comparisons against previous transcriptomic studies, we conducted in-depth analysis to obtain a high-resolution view of the global architecture of the AD transcriptome and contrasted it with that of psoriasis from the same cohort. By using 147 RNA samples in total, we found striking correlation between dysregulated genes in lesional psoriasis and lesional AD skin with 81% of AD dysregulated genes being shared with psoriasis. However, we described disease-specific molecular and cellular features, with AD skin showing dominance of IL-13 pathways, but with near undetectable IL-4 expression. We also demonstrated greater disease heterogeneity and larger proportion of dysregulated long noncoding RNAs in AD, and illustrated the translational impact, including skin-type classification and drug-target prediction. This study is by far the largest study comparing the AD and psoriasis transcriptomes using RNA sequencing and demonstrating the shared inflammatory components, as well as specific discordant cytokine signatures of these two skin diseases.
Atopic dermatitis (AD) affects up to 20% of children and adults worldwide. To gain a deeper understanding of the pathophysiology of AD, we conducted a large-scale transcriptomic study of AD with deeply sequenced RNA-sequencing samples using long (126-bp) paired-end reads. In addition to the comparisons against previous transcriptomic studies, we conducted in-depth analysis to obtain a high-resolution view of the global architecture of the AD transcriptome and contrasted it with that of psoriasis from the same cohort. By using 147 RNA samples in total, we found striking correlation between dysregulated genes in lesional psoriasis and lesional AD skin with 81% of AD dysregulated genes being shared with psoriasis. However, we described disease-specific molecular and cellular features, with AD skin showing dominance of IL-13 pathways, but with near undetectable IL-4 expression. We also demonstrated greater disease heterogeneity and larger proportion of dysregulated long noncoding RNAs in AD, and illustrated the translational impact, including skin-type classification and drug-target prediction. This study is by far the largest study comparing the AD and psoriasis transcriptomes using RNA sequencing and demonstrating the shared inflammatory components, as well as specific discordant cytokine signatures of these two skin diseases.Atopic dermatitis (AD) affects up to 20% of children and adults worldwide. To gain a deeper understanding of the pathophysiology of AD, we conducted a large-scale transcriptomic study of AD with deeply sequenced RNA-sequencing samples using long (126-bp) paired-end reads. In addition to the comparisons against previous transcriptomic studies, we conducted in-depth analysis to obtain a high-resolution view of the global architecture of the AD transcriptome and contrasted it with that of psoriasis from the same cohort. By using 147 RNA samples in total, we found striking correlation between dysregulated genes in lesional psoriasis and lesional AD skin with 81% of AD dysregulated genes being shared with psoriasis. However, we described disease-specific molecular and cellular features, with AD skin showing dominance of IL-13 pathways, but with near undetectable IL-4 expression. We also demonstrated greater disease heterogeneity and larger proportion of dysregulated long noncoding RNAs in AD, and illustrated the translational impact, including skin-type classification and drug-target prediction. This study is by far the largest study comparing the AD and psoriasis transcriptomes using RNA sequencing and demonstrating the shared inflammatory components, as well as specific discordant cytokine signatures of these two skin diseases.
Author Degenhardt, Frauke
Harms, Paul W
Volks, Natalie
Swindell, William R
Patrick, Matthew
Franke, Andre
Gao, Yilin
Shao, Shuai
Getsios, Spiro
Rodriguez, Elke
Baurecht, Hansjörg
Szymczak, Silke
Gudjonsson, Johann E
Perez White, Bethany E
Maverakis, Emanual
Raja, Kalpana
Tsoi, Lam C
Wehkamp, Ulrike
Elder, James T
Weidinger, Stephan
Uppala, Ranjitha
Sarkar, Mrinal K
Author_xml – sequence: 1
  givenname: Lam C
  surname: Tsoi
  fullname: Tsoi, Lam C
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA; Department of Biostatistics, Center for Statistical Genetics, University of Michigan, Ann Arbor, Michigan, USA
– sequence: 2
  givenname: Elke
  surname: Rodriguez
  fullname: Rodriguez, Elke
  organization: Department of Dermatology and Allergy, University Hospital Schleswig-Holstein, Kiel, Germany
– sequence: 3
  givenname: Frauke
  surname: Degenhardt
  fullname: Degenhardt, Frauke
  organization: Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein, Kiel, Germany
– sequence: 4
  givenname: Hansjörg
  surname: Baurecht
  fullname: Baurecht, Hansjörg
  organization: Department of Dermatology and Allergy, University Hospital Schleswig-Holstein, Kiel, Germany
– sequence: 5
  givenname: Ulrike
  surname: Wehkamp
  fullname: Wehkamp, Ulrike
  organization: Department of Dermatology and Allergy, University Hospital Schleswig-Holstein, Kiel, Germany
– sequence: 6
  givenname: Natalie
  surname: Volks
  fullname: Volks, Natalie
  organization: Department of Dermatology and Allergy, University Hospital Schleswig-Holstein, Kiel, Germany
– sequence: 7
  givenname: Silke
  surname: Szymczak
  fullname: Szymczak, Silke
  organization: Institute of Medical Informatics and Statistics, Kiel University, Kiel, Germany
– sequence: 8
  givenname: William R
  surname: Swindell
  fullname: Swindell, William R
  organization: Heritage College of Osteopathic Medicine, Ohio University, Athens, Ohio, USA
– sequence: 9
  givenname: Mrinal K
  surname: Sarkar
  fullname: Sarkar, Mrinal K
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA
– sequence: 10
  givenname: Kalpana
  surname: Raja
  fullname: Raja, Kalpana
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA
– sequence: 11
  givenname: Shuai
  surname: Shao
  fullname: Shao, Shuai
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA
– sequence: 12
  givenname: Matthew
  surname: Patrick
  fullname: Patrick, Matthew
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA
– sequence: 13
  givenname: Yilin
  surname: Gao
  fullname: Gao, Yilin
  organization: Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA
– sequence: 14
  givenname: Ranjitha
  surname: Uppala
  fullname: Uppala, Ranjitha
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA
– sequence: 15
  givenname: Bethany E
  surname: Perez White
  fullname: Perez White, Bethany E
  organization: Department of Dermatology, Northwestern University, Chicago, Illinois, USA
– sequence: 16
  givenname: Spiro
  surname: Getsios
  fullname: Getsios, Spiro
  organization: Department of Dermatology, Northwestern University, Chicago, Illinois, USA
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  givenname: Paul W
  surname: Harms
  fullname: Harms, Paul W
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA
– sequence: 18
  givenname: Emanual
  surname: Maverakis
  fullname: Maverakis, Emanual
  organization: Department of Dermatology, School of Medicine, UC Davis Medical Center, Sacramento, California, USA
– sequence: 19
  givenname: James T
  surname: Elder
  fullname: Elder, James T
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA; Ann Arbor Veterans Affairs Hospital, Ann Arbor, Michigan, USA
– sequence: 20
  givenname: Andre
  surname: Franke
  fullname: Franke, Andre
  organization: Institute of Clinical Molecular Biology, University Hospital Schleswig-Holstein, Kiel, Germany
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  givenname: Johann E
  surname: Gudjonsson
  fullname: Gudjonsson, Johann E
  email: johanng@med.umich.edu
  organization: Department of Dermatology, University of Michigan Medical School, Ann Arbor, Michigan, USA. Electronic address: johanng@med.umich.edu
– sequence: 22
  givenname: Stephan
  surname: Weidinger
  fullname: Weidinger, Stephan
  organization: Department of Dermatology and Allergy, University Hospital Schleswig-Holstein, Kiel, Germany
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30641038$$D View this record in MEDLINE/PubMed
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ContentType Journal Article
Copyright Copyright © 2019 The Authors. Published by Elsevier Inc. All rights reserved.
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PublicationTitle Journal of investigative dermatology
PublicationTitleAlternate J Invest Dermatol
PublicationYear 2019
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Snippet Atopic dermatitis (AD) affects up to 20% of children and adults worldwide. To gain a deeper understanding of the pathophysiology of AD, we conducted a...
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SubjectTerms Cohort Studies
Dermatitis, Atopic - genetics
Dermatitis, Atopic - immunology
Gene Expression Profiling
Humans
Interleukin-13 - genetics
Interleukin-13 - metabolism
Interleukin-4 - metabolism
Organ Specificity - genetics
Psoriasis - genetics
Psoriasis - immunology
RNA - genetics
RNA, Long Noncoding - genetics
Sequence Analysis, RNA
Signal Transduction
Skin - metabolism
Skin - pathology
Th2 Cells - immunology
Transcriptome
Title Atopic Dermatitis Is an IL-13-Dominant Disease with Greater Molecular Heterogeneity Compared to Psoriasis
URI https://www.ncbi.nlm.nih.gov/pubmed/30641038
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