Peripheral Blood Gene Expression Profile of Infants with Atopic Dermatitis

To enhance the understanding of molecular mechanisms and mine previously unidentified biomarkers of pediatric atopic dermatitis, PBMC gene expression profiles were generated by RNA sequencing in infants with atopic dermatitis and age-matched controls. A total of 178 significantly differentially expr...

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Main Authors: Janna Nousbeck, Maeve A. McAleer, Alan D. Irvine
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:JID Innovations
Online Access:http://www.sciencedirect.com/science/article/pii/S266702672200073X
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author Janna Nousbeck
Maeve A. McAleer
Alan D. Irvine
author_facet Janna Nousbeck
Maeve A. McAleer
Alan D. Irvine
author_sort Janna Nousbeck
collection DOAJ
description To enhance the understanding of molecular mechanisms and mine previously unidentified biomarkers of pediatric atopic dermatitis, PBMC gene expression profiles were generated by RNA sequencing in infants with atopic dermatitis and age-matched controls. A total of 178 significantly differentially expressed genes (DEGs) (115 upregulations and 63 downregulations) were seen, compared with those in healthy controls. The DEGs identified included IL1β, TNF, TREM1, IL18R1, and IL18RAP. DEGs were validated by real-time RT- qPCR in a larger number of samples from PBMCs of infants with atopic dermatitis aged <12 months. Using the DAVID (Database for Annotation, Visualization and Integrated Discovery) database, functional and pathway enrichment analyses of DEGs were performed. Gene ontology enrichment analysis showed that DEGs were associated with immune responses, inflammatory responses, regulation of immune responses, and platelet activation. Pathway analysis indicated that DEGs were enriched in cytokine‒cytokine receptor interaction, immunoregulatory interactions between lymphoid and nonlymphoid cells, hematopoietic cell lineage, phosphoinositide 3-kinase‒protein kinase B signaling pathway, NK cell‒mediated cytotoxicity, and platelet activation. Furthermore, the protein‒protein interaction network was predicted using the STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) database and visualized with Cytoscape software. Finally, on the basis of the protein‒protein interaction network, 18 hub genes were selected, and two significant modules were obtained. In conclusion, this study sheds light on the molecular mechanisms of pediatric atopic dermatitis and may provide diagnostic biomarkers and therapeutic targets.
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spelling doaj.art-c6744b1040044ab1a5d4abb78049bf882023-03-30T04:27:19ZengElsevierJID Innovations2667-02672023-03-0132100165Peripheral Blood Gene Expression Profile of Infants with Atopic DermatitisJanna Nousbeck0Maeve A. McAleer1Alan D. Irvine2National Children’s Research Centre, Dublin, Ireland; Clinical Medicine, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, IrelandNational Children’s Research Centre, Dublin, Ireland; Department of Paediatric Dermatology, Children’s Health Ireland at Crumlin, Dublin, IrelandNational Children’s Research Centre, Dublin, Ireland; Clinical Medicine, School of Medicine, Trinity College Dublin, The University of Dublin, Dublin, Ireland; Department of Paediatric Dermatology, Children’s Health Ireland at Crumlin, Dublin, Ireland; Correspondence: Alan D. Irvine, Department of Paediatric Dermatology, Children’s Health Ireland at Crumlin, Dublin 12, Ireland.To enhance the understanding of molecular mechanisms and mine previously unidentified biomarkers of pediatric atopic dermatitis, PBMC gene expression profiles were generated by RNA sequencing in infants with atopic dermatitis and age-matched controls. A total of 178 significantly differentially expressed genes (DEGs) (115 upregulations and 63 downregulations) were seen, compared with those in healthy controls. The DEGs identified included IL1β, TNF, TREM1, IL18R1, and IL18RAP. DEGs were validated by real-time RT- qPCR in a larger number of samples from PBMCs of infants with atopic dermatitis aged <12 months. Using the DAVID (Database for Annotation, Visualization and Integrated Discovery) database, functional and pathway enrichment analyses of DEGs were performed. Gene ontology enrichment analysis showed that DEGs were associated with immune responses, inflammatory responses, regulation of immune responses, and platelet activation. Pathway analysis indicated that DEGs were enriched in cytokine‒cytokine receptor interaction, immunoregulatory interactions between lymphoid and nonlymphoid cells, hematopoietic cell lineage, phosphoinositide 3-kinase‒protein kinase B signaling pathway, NK cell‒mediated cytotoxicity, and platelet activation. Furthermore, the protein‒protein interaction network was predicted using the STRING (Search Tool for the Retrieval of Interacting Genes/Proteins) database and visualized with Cytoscape software. Finally, on the basis of the protein‒protein interaction network, 18 hub genes were selected, and two significant modules were obtained. In conclusion, this study sheds light on the molecular mechanisms of pediatric atopic dermatitis and may provide diagnostic biomarkers and therapeutic targets.http://www.sciencedirect.com/science/article/pii/S266702672200073X
spellingShingle Janna Nousbeck
Maeve A. McAleer
Alan D. Irvine
Peripheral Blood Gene Expression Profile of Infants with Atopic Dermatitis
JID Innovations
title Peripheral Blood Gene Expression Profile of Infants with Atopic Dermatitis
title_full Peripheral Blood Gene Expression Profile of Infants with Atopic Dermatitis
title_fullStr Peripheral Blood Gene Expression Profile of Infants with Atopic Dermatitis
title_full_unstemmed Peripheral Blood Gene Expression Profile of Infants with Atopic Dermatitis
title_short Peripheral Blood Gene Expression Profile of Infants with Atopic Dermatitis
title_sort peripheral blood gene expression profile of infants with atopic dermatitis
url http://www.sciencedirect.com/science/article/pii/S266702672200073X
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