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Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes

OBJECTIVE: Fulminant type 1 diabetes (FT1D) is a type of type 1 diabetes, which is characterized by rapid onset of disease and severe metabolic disorders. We intend to screen for crucial genes and potential molecular mechanisms in FT1D in this study. METHOD: We downloaded GSE44314, which includes si...

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Autores principales: Ye, Xiaofeng, Zeng, Tianshu, Kong, Wen, Chen, Lu-lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559223/
https://www.ncbi.nlm.nih.gov/pubmed/33083497
http://dx.doi.org/10.1155/2020/1025857
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author Ye, Xiaofeng
Zeng, Tianshu
Kong, Wen
Chen, Lu-lu
author_facet Ye, Xiaofeng
Zeng, Tianshu
Kong, Wen
Chen, Lu-lu
author_sort Ye, Xiaofeng
collection PubMed
description OBJECTIVE: Fulminant type 1 diabetes (FT1D) is a type of type 1 diabetes, which is characterized by rapid onset of disease and severe metabolic disorders. We intend to screen for crucial genes and potential molecular mechanisms in FT1D in this study. METHOD: We downloaded GSE44314, which includes six healthy controls and five patients with FT1D, from the GEO database. Identification of differentially expressed genes (DEGs) was performed by NetworkAnalyst. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were screened by an online tool—Database for Annotation, Visualization, and Integration Discovery (DAVID). Protein-protein interaction (PPI) network and hub genes among DEGs were analyzed by NetworkAnalyst. And we also use NetworkAnalyst to find out the microRNAs (miRNAs) and transcription factors (TFs) which regulate the expression of DEGs. RESULT: We identified 130 DEGs (60 upregulated and 70 downregulated DEGs) between healthy controls and FT1D patients. GO analysis results revealed that DEGs were mostly enriched in generation of precursor metabolites and energy, neurohypophyseal hormone activity, and mitochondrial inner membrane. KEGG pathway analysis demonstrated that DEGs were mostly involved in nonalcoholic fatty liver disease. Results indicated that NCOA1, SRF, ERBB3, EST1, TOP1, UBE2S, INO80, COX7C, ITGAV, and COX6C were the top hub genes in the PPI network. Furthermore, we recognized that LDLR, POTEM, IFNAR2, BAZ2A, and SRF were the top hub genes in the miRNA-target gene network, and SRF, TSPAN4, CD59, ETS1, and SLC25A25 were the top hub genes in the TF-target gene network. CONCLUSION: Our study pinpoints key genes and pathways associated with FT1D by a sequence of bioinformatics analysis on DEGs. These identified genes and pathways provide more detailed molecular mechanisms of FT1D and may provide novel therapeutic targets.
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spelling pubmed-75592232020-10-19 Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes Ye, Xiaofeng Zeng, Tianshu Kong, Wen Chen, Lu-lu J Immunol Res Research Article OBJECTIVE: Fulminant type 1 diabetes (FT1D) is a type of type 1 diabetes, which is characterized by rapid onset of disease and severe metabolic disorders. We intend to screen for crucial genes and potential molecular mechanisms in FT1D in this study. METHOD: We downloaded GSE44314, which includes six healthy controls and five patients with FT1D, from the GEO database. Identification of differentially expressed genes (DEGs) was performed by NetworkAnalyst. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were screened by an online tool—Database for Annotation, Visualization, and Integration Discovery (DAVID). Protein-protein interaction (PPI) network and hub genes among DEGs were analyzed by NetworkAnalyst. And we also use NetworkAnalyst to find out the microRNAs (miRNAs) and transcription factors (TFs) which regulate the expression of DEGs. RESULT: We identified 130 DEGs (60 upregulated and 70 downregulated DEGs) between healthy controls and FT1D patients. GO analysis results revealed that DEGs were mostly enriched in generation of precursor metabolites and energy, neurohypophyseal hormone activity, and mitochondrial inner membrane. KEGG pathway analysis demonstrated that DEGs were mostly involved in nonalcoholic fatty liver disease. Results indicated that NCOA1, SRF, ERBB3, EST1, TOP1, UBE2S, INO80, COX7C, ITGAV, and COX6C were the top hub genes in the PPI network. Furthermore, we recognized that LDLR, POTEM, IFNAR2, BAZ2A, and SRF were the top hub genes in the miRNA-target gene network, and SRF, TSPAN4, CD59, ETS1, and SLC25A25 were the top hub genes in the TF-target gene network. CONCLUSION: Our study pinpoints key genes and pathways associated with FT1D by a sequence of bioinformatics analysis on DEGs. These identified genes and pathways provide more detailed molecular mechanisms of FT1D and may provide novel therapeutic targets. Hindawi 2020-10-06 /pmc/articles/PMC7559223/ /pubmed/33083497 http://dx.doi.org/10.1155/2020/1025857 Text en Copyright © 2020 Xiaofeng Ye et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Ye, Xiaofeng
Zeng, Tianshu
Kong, Wen
Chen, Lu-lu
Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes
title Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes
title_full Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes
title_fullStr Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes
title_full_unstemmed Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes
title_short Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes
title_sort integrative analyses of genes associated with fulminant type 1 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7559223/
https://www.ncbi.nlm.nih.gov/pubmed/33083497
http://dx.doi.org/10.1155/2020/1025857
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