Cargando…

In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets

Type 2 diabetes (T2D) is a major global public health burden, with β-cell dysfunction a key component in its pathogenesis. However, the exact pathogenesis of β-cell dysfunction in T2D is yet to be fully elucidated. Ferroptosis, a recently discovered regulated form of non-apoptotic cell death, plays...

Descripción completa

Detalles Bibliográficos
Autores principales: Yin, Meiqi, Zhou, Liang, Ji, Yanan, Lu, Rongxin, Ji, Wei, Jiang, Guorong, Ma, Jin, Song, Xiudao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388850/
https://www.ncbi.nlm.nih.gov/pubmed/35992146
http://dx.doi.org/10.3389/fendo.2022.946492
_version_ 1784770304296353792
author Yin, Meiqi
Zhou, Liang
Ji, Yanan
Lu, Rongxin
Ji, Wei
Jiang, Guorong
Ma, Jin
Song, Xiudao
author_facet Yin, Meiqi
Zhou, Liang
Ji, Yanan
Lu, Rongxin
Ji, Wei
Jiang, Guorong
Ma, Jin
Song, Xiudao
author_sort Yin, Meiqi
collection PubMed
description Type 2 diabetes (T2D) is a major global public health burden, with β-cell dysfunction a key component in its pathogenesis. However, the exact pathogenesis of β-cell dysfunction in T2D is yet to be fully elucidated. Ferroptosis, a recently discovered regulated form of non-apoptotic cell death, plays a vital role in the development of diabetes and its complications. The current study aimed to identify the key molecules involved in β-cell ferroptosis3 in patients with T2D using the mRNA expression profile data of GSE25724 by bioinformatic approaches. The differentially expressed mRNAs (DE-mRNAs) in human islets of patients with T2D were screened using the islet mRNA expression profiling data from the Gene Expression Omnibus and their intersection with ferroptosis genes was then obtained. Ferroptosis-related DE-mRNA functional and pathway enrichment analysis in T2D islet were performed. Using a protein-protein interaction (PPI) network constructed from the STRING database, Cytoscape software identified ferroptosis-related hub genes in the T2D islet with a Degree algorithm. We constructed a miRNA-hub gene network using the miRWalk database. We generated a rat model of T2D to assess the expression of hub genes. A total of 1,316 DE-mRNAs were identified in the islet of patients between T2D and non-T2D (NT2D), including 221 and 1,095 up- and down-regulated genes. Gene set enrichment analysis revealed that the ferroptosis-related gene set was significantly different in islets between T2D and NT2D at an overall level. A total of 33 ferroptosis-related DE-mRNAs were identified, most of which were significantly enriched in pathways including ferroptosis. The established PPI network with ferroptosis-related DE-mRNAs identified five hub genes (JUN, NFE2L2, ATG5, KRAS, and HSPA5), and the area under the ROC curve of these five hub genes was 0.929 in the Logistic regression model. We constructed a regulatory network of hub genes and miRNAs, and the results showed that suggesting that hsa-miR-6855-5p, hsa-miR-9985, and hsa-miR-584-5p could regulate most hub genes. In rat model of T2D, the protein expression levels of JUN and NFE2L2 in pancreatic tissues were upregulated and downregulated, respectively. These results contribute to further elucidation of ferroptosis-related molecular mechanisms in the pathogenesis of β-cell dysfunction of T2D.
format Online
Article
Text
id pubmed-9388850
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-93888502022-08-20 In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets Yin, Meiqi Zhou, Liang Ji, Yanan Lu, Rongxin Ji, Wei Jiang, Guorong Ma, Jin Song, Xiudao Front Endocrinol (Lausanne) Endocrinology Type 2 diabetes (T2D) is a major global public health burden, with β-cell dysfunction a key component in its pathogenesis. However, the exact pathogenesis of β-cell dysfunction in T2D is yet to be fully elucidated. Ferroptosis, a recently discovered regulated form of non-apoptotic cell death, plays a vital role in the development of diabetes and its complications. The current study aimed to identify the key molecules involved in β-cell ferroptosis3 in patients with T2D using the mRNA expression profile data of GSE25724 by bioinformatic approaches. The differentially expressed mRNAs (DE-mRNAs) in human islets of patients with T2D were screened using the islet mRNA expression profiling data from the Gene Expression Omnibus and their intersection with ferroptosis genes was then obtained. Ferroptosis-related DE-mRNA functional and pathway enrichment analysis in T2D islet were performed. Using a protein-protein interaction (PPI) network constructed from the STRING database, Cytoscape software identified ferroptosis-related hub genes in the T2D islet with a Degree algorithm. We constructed a miRNA-hub gene network using the miRWalk database. We generated a rat model of T2D to assess the expression of hub genes. A total of 1,316 DE-mRNAs were identified in the islet of patients between T2D and non-T2D (NT2D), including 221 and 1,095 up- and down-regulated genes. Gene set enrichment analysis revealed that the ferroptosis-related gene set was significantly different in islets between T2D and NT2D at an overall level. A total of 33 ferroptosis-related DE-mRNAs were identified, most of which were significantly enriched in pathways including ferroptosis. The established PPI network with ferroptosis-related DE-mRNAs identified five hub genes (JUN, NFE2L2, ATG5, KRAS, and HSPA5), and the area under the ROC curve of these five hub genes was 0.929 in the Logistic regression model. We constructed a regulatory network of hub genes and miRNAs, and the results showed that suggesting that hsa-miR-6855-5p, hsa-miR-9985, and hsa-miR-584-5p could regulate most hub genes. In rat model of T2D, the protein expression levels of JUN and NFE2L2 in pancreatic tissues were upregulated and downregulated, respectively. These results contribute to further elucidation of ferroptosis-related molecular mechanisms in the pathogenesis of β-cell dysfunction of T2D. Frontiers Media S.A. 2022-08-05 /pmc/articles/PMC9388850/ /pubmed/35992146 http://dx.doi.org/10.3389/fendo.2022.946492 Text en Copyright © 2022 Yin, Zhou, Ji, Lu, Ji, Jiang, Ma and Song https://creativecommons.org/licenses/by/4.0/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) and the copyright owner(s) 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.
spellingShingle Endocrinology
Yin, Meiqi
Zhou, Liang
Ji, Yanan
Lu, Rongxin
Ji, Wei
Jiang, Guorong
Ma, Jin
Song, Xiudao
In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets
title In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets
title_full In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets
title_fullStr In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets
title_full_unstemmed In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets
title_short In silico identification and verification of ferroptosis-related genes in type 2 diabetic islets
title_sort in silico identification and verification of ferroptosis-related genes in type 2 diabetic islets
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9388850/
https://www.ncbi.nlm.nih.gov/pubmed/35992146
http://dx.doi.org/10.3389/fendo.2022.946492
work_keys_str_mv AT yinmeiqi insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets
AT zhouliang insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets
AT jiyanan insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets
AT lurongxin insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets
AT jiwei insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets
AT jiangguorong insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets
AT majin insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets
AT songxiudao insilicoidentificationandverificationofferroptosisrelatedgenesintype2diabeticislets