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ORIGINAL RESEARCH article

Front. Mol. Biosci.
Sec. Biological Modeling and Simulation
Volume 11 - 2024 | doi: 10.3389/fmolb.2024.1410004

Study of hub nodes of transcription factor-target gene regulatory network and immune mechanism for type 2 diabetes based on chip analysis of GEO database Provisionally Accepted

 Guangyu Xu1 Yuehan Zhao1  Yu Bai2*  Yan Lin3*
  • 1School of Pharmacy, Beihua University, China
  • 2Jilin Medical University, China
  • 3School of Basic Medical Sciences, Beihua University, China

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Identification of novel therapeutic targets for type 2 diabetes is a key area of contemporary research. In this study, we screened differentially expressed genes in type 2 diabetes through the GEO database and sought to identify the key virulence factors for type 2 diabetes through a transcription factor regulatory network. Our findings may help identify new therapeutic targets for type 2 diabetes. Data pertaining to the humoral (whole blood) gene expression profile of diabetic patients were obtained from the NCBI's GEO Datasets database and gene sets with differential expression were identified.Subsequently, the TRED transcriptional regulatory element database was integrated to build a gene regulatory network for type 2 diabetes. Functional analysis (GO-Analysis) and Pathway-analysis of differentially expressed genes were performed using the DAVID database and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. Finally, gene-disease correlation analysis was performed using the DAVID online annotation tool. A total of 236 pathogenic genes, 4 transcription factors related to the pathogenic genes, and 261 corresponding target genes were identified. A transcription factor-target gene regulatory network for type 2 diabetes was constructed. Most of the key factors of the transcription factor-target gene regulatory network for type 2 diabetes were found closely related to the immune metabolic system and the functions of cell proliferation and transformation.

Keywords: type 2 diabetes, GEO database, Transcription Factors, network regulation, Immune mechanism

Received: 01 Apr 2024; Accepted: 08 May 2024.

Copyright: © 2024 Xu, Zhao, Bai and Lin. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Mx. Yu Bai, Jilin Medical University, Jilin, China
Mx. Yan Lin, School of Basic Medical Sciences, Beihua University, Jilin, 132013, China