Biomaterial Database

Bioinformatic analysis of key pathways and genes involved in pediatric atopic dermatitis. 2021

Tianyi Wang, and Bingxin Zhang, and Danhui Li, and Xiaoli Qi, and Chijin Zhang

Department of Dermatology, First Teaching Hospital of Tianjin University of TCM, China.

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 the present study was to identify gene signature speficic to pediatric AD comapred with 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, and regulation of actin cytoskeleton. The top 10 hub genes GAPDH, EGFR, ACTB, ESR1, CDK1, CXCL8, CD44, KRAS, PTGS2, and 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.

UI	MeSH Term	Description	Entries
D002648	Child	A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL.	Children
D003876	Dermatitis, Atopic	A chronic inflammatory genetically determined disease of the skin marked by increased ability to form reagin (IgE), with increased susceptibility to allergic rhinitis and asthma, and hereditary disposition to a lowered threshold for pruritus. It is manifested by lichenification, excoriation, and crusting, mainly on the flexural surfaces of the elbow and knee. In infants it is known as infantile eczema.	Eczema, Atopic,Eczema, Infantile,Neurodermatitis, Atopic,Neurodermatitis, Disseminated,Atopic Dermatitis,Atopic Eczema,Atopic Neurodermatitis,Disseminated Neurodermatitis,Infantile Eczema
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D060066	Protein Interaction Maps	Graphs representing sets of measurable, non-covalent physical contacts with specific PROTEINS in living organisms or in cells.	Protein-Protein Interaction Map,Protein-Protein Interaction Network,Protein Interaction Networks,Interaction Map, Protein,Interaction Map, Protein-Protein,Interaction Network, Protein,Interaction Network, Protein-Protein,Map, Protein Interaction,Map, Protein-Protein Interaction,Network, Protein Interaction,Network, Protein-Protein Interaction,Protein Interaction Map,Protein Interaction Network,Protein Protein Interaction Map,Protein Protein Interaction Network,Protein-Protein Interaction Maps,Protein-Protein Interaction Networks
D019295	Computational Biology	A field of biology concerned with the development of techniques for the collection and manipulation of biological data, and the use of such data to make biological discoveries or predictions. This field encompasses all computational methods and theories for solving biological problems including manipulation of models and datasets.	Bioinformatics,Molecular Biology, Computational,Bio-Informatics,Biology, Computational,Computational Molecular Biology,Bio Informatics,Bio-Informatic,Bioinformatic,Biologies, Computational Molecular,Biology, Computational Molecular,Computational Molecular Biologies,Molecular Biologies, Computational
D020022	Genetic Predisposition to Disease	A latent susceptibility to disease at the genetic level, which may be activated under certain conditions.	Genetic Predisposition,Genetic Susceptibility,Predisposition, Genetic,Susceptibility, Genetic,Genetic Predispositions,Genetic Susceptibilities,Predispositions, Genetic,Susceptibilities, Genetic
D020869	Gene Expression Profiling	The determination of the pattern of genes expressed at the level of GENETIC TRANSCRIPTION, under specific circumstances or in a specific cell.	Gene Expression Analysis,Gene Expression Pattern Analysis,Transcript Expression Analysis,Transcriptome Profiling,Transcriptomics,mRNA Differential Display,Gene Expression Monitoring,Transcriptome Analysis,Analyses, Gene Expression,Analyses, Transcript Expression,Analyses, Transcriptome,Analysis, Gene Expression,Analysis, Transcript Expression,Analysis, Transcriptome,Differential Display, mRNA,Differential Displays, mRNA,Expression Analyses, Gene,Expression Analysis, Gene,Gene Expression Analyses,Gene Expression Monitorings,Gene Expression Profilings,Monitoring, Gene Expression,Monitorings, Gene Expression,Profiling, Gene Expression,Profiling, Transcriptome,Profilings, Gene Expression,Profilings, Transcriptome,Transcript Expression Analyses,Transcriptome Analyses,Transcriptome Profilings,mRNA Differential Displays
D063990	Gene Ontology	Sets of structured vocabularies used for describing and categorizing genes, and gene products by their molecular function, involvement in biological processes, and cellular location. These vocabularies and their associations to genes and gene products (Gene Ontology annotations) are generated and curated by the Gene Ontology Consortium.	Gene Ontology Project,Gene Ontologies,Gene Ontology Projects,Ontologies, Gene,Ontology Project, Gene,Ontology Projects, Gene,Ontology, Gene,Project, Gene Ontology,Projects, Gene Ontology