Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways

David A Ewald; Dana Malajian; James G Krueger; Christopher T Workman; Tianjiao Wang; Suyan Tian; Thomas Litman; Emma Guttman-Yassky; Mayte Suárez-Fariñas

doi:10.1186/s12920-015-0133-x

Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways

David A Ewald, Dana Malajian, James G Krueger, Christopher T Workman, Tianjiao Wang, Suyan Tian, Thomas Litman, Emma Guttman-Yassky, Mayte Suárez-Fariñas

77 Citations (Scopus)

Abstract

BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease with limited treatment options. Several microarray experiments have been conducted on lesional/LS and non-lesional/NL AD skin to develop a genomic disease phenotype. Although these experiments have shed light on disease pathology, inter-study comparisons reveal large differences in resulting sets of differentially expressed genes (DEGs), limiting the utility of direct comparisons across studies.

METHODS: We carried out a meta-analysis combining 4 published AD datasets to define a robust disease profile, termed meta-analysis derived AD (MADAD) transcriptome.

RESULTS: This transcriptome enriches key AD pathways more than the individual studies, and associates AD with novel pathways, such as atherosclerosis signaling (IL-37, selectin E/SELE). We identified wide lipid abnormalities and, for the first time in vivo, correlated Th2 immune activation with downregulation of key epidermal lipids (FA2H, FAR2, ELOVL3), emphasizing the role of cytokines on the barrier disruption in AD. Key AD "classifier genes" discriminate lesional from nonlesional skin, and may evaluate therapeutic responses.

CONCLUSIONS: Our meta-analysis provides novel and powerful insights into AD disease pathology, and reinforces the concept of AD as a systemic disease.

Original language	English
Journal	BMC Medical Genomics
Volume	8
Pages (from-to)	60
ISSN	1755-8794
DOIs	https://doi.org/10.1186/s12920-015-0133-x
Publication status	Published - 12 Oct 2015
Externally published	Yes

Keywords

Atherosclerosis/complications
Dermatitis, Atopic/complications
Gene Expression Profiling/methods
Gene Regulatory Networks
Humans
Lipid Metabolism/genetics
Th2 Cells/immunology

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Cite this

Ewald, D. A., Malajian, D., Krueger, J. G., Workman, C. T., Wang, T., Tian, S., Litman, T., Guttman-Yassky, E., & Suárez-Fariñas, M. (2015). Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways. BMC Medical Genomics, 8, 60. https://doi.org/10.1186/s12920-015-0133-x

Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways. / Ewald, David A; Malajian, Dana; Krueger, James G et al.
In: BMC Medical Genomics, Vol. 8, 12.10.2015, p. 60.

Research output: Contribution to journal › Journal article › Research › peer-review

Ewald, DA, Malajian, D, Krueger, JG, Workman, CT, Wang, T, Tian, S, Litman, T, Guttman-Yassky, E & Suárez-Fariñas, M 2015, 'Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways', BMC Medical Genomics, vol. 8, pp. 60. https://doi.org/10.1186/s12920-015-0133-x

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abstract = "BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease with limited treatment options. Several microarray experiments have been conducted on lesional/LS and non-lesional/NL AD skin to develop a genomic disease phenotype. Although these experiments have shed light on disease pathology, inter-study comparisons reveal large differences in resulting sets of differentially expressed genes (DEGs), limiting the utility of direct comparisons across studies.METHODS: We carried out a meta-analysis combining 4 published AD datasets to define a robust disease profile, termed meta-analysis derived AD (MADAD) transcriptome.RESULTS: This transcriptome enriches key AD pathways more than the individual studies, and associates AD with novel pathways, such as atherosclerosis signaling (IL-37, selectin E/SELE). We identified wide lipid abnormalities and, for the first time in vivo, correlated Th2 immune activation with downregulation of key epidermal lipids (FA2H, FAR2, ELOVL3), emphasizing the role of cytokines on the barrier disruption in AD. Key AD {"}classifier genes{"} discriminate lesional from nonlesional skin, and may evaluate therapeutic responses.CONCLUSIONS: Our meta-analysis provides novel and powerful insights into AD disease pathology, and reinforces the concept of AD as a systemic disease.",

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AU - Ewald, David A

AU - Malajian, Dana

AU - Krueger, James G

AU - Workman, Christopher T

AU - Wang, Tianjiao

AU - Tian, Suyan

AU - Litman, Thomas

AU - Guttman-Yassky, Emma

AU - Suárez-Fariñas, Mayte

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N2 - BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease with limited treatment options. Several microarray experiments have been conducted on lesional/LS and non-lesional/NL AD skin to develop a genomic disease phenotype. Although these experiments have shed light on disease pathology, inter-study comparisons reveal large differences in resulting sets of differentially expressed genes (DEGs), limiting the utility of direct comparisons across studies.METHODS: We carried out a meta-analysis combining 4 published AD datasets to define a robust disease profile, termed meta-analysis derived AD (MADAD) transcriptome.RESULTS: This transcriptome enriches key AD pathways more than the individual studies, and associates AD with novel pathways, such as atherosclerosis signaling (IL-37, selectin E/SELE). We identified wide lipid abnormalities and, for the first time in vivo, correlated Th2 immune activation with downregulation of key epidermal lipids (FA2H, FAR2, ELOVL3), emphasizing the role of cytokines on the barrier disruption in AD. Key AD "classifier genes" discriminate lesional from nonlesional skin, and may evaluate therapeutic responses.CONCLUSIONS: Our meta-analysis provides novel and powerful insights into AD disease pathology, and reinforces the concept of AD as a systemic disease.

AB - BACKGROUND: Atopic dermatitis (AD) is a common inflammatory skin disease with limited treatment options. Several microarray experiments have been conducted on lesional/LS and non-lesional/NL AD skin to develop a genomic disease phenotype. Although these experiments have shed light on disease pathology, inter-study comparisons reveal large differences in resulting sets of differentially expressed genes (DEGs), limiting the utility of direct comparisons across studies.METHODS: We carried out a meta-analysis combining 4 published AD datasets to define a robust disease profile, termed meta-analysis derived AD (MADAD) transcriptome.RESULTS: This transcriptome enriches key AD pathways more than the individual studies, and associates AD with novel pathways, such as atherosclerosis signaling (IL-37, selectin E/SELE). We identified wide lipid abnormalities and, for the first time in vivo, correlated Th2 immune activation with downregulation of key epidermal lipids (FA2H, FAR2, ELOVL3), emphasizing the role of cytokines on the barrier disruption in AD. Key AD "classifier genes" discriminate lesional from nonlesional skin, and may evaluate therapeutic responses.CONCLUSIONS: Our meta-analysis provides novel and powerful insights into AD disease pathology, and reinforces the concept of AD as a systemic disease.

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KW - Dermatitis, Atopic/complications

KW - Gene Expression Profiling/methods

KW - Gene Regulatory Networks

KW - Humans

KW - Lipid Metabolism/genetics

KW - Th2 Cells/immunology

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DO - 10.1186/s12920-015-0133-x

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JO - BMC Medical Genomics

JF - BMC Medical Genomics

ER -

Meta-analysis derived atopic dermatitis (MADAD) transcriptome defines a robust AD signature highlighting the involvement of atherosclerosis and lipid metabolism pathways

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Keywords

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