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Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction

BACKGROUND: Islet β cells dysfunction (IBCD) is a cortical component in pathogenesis of type 2 diabetic mellitus (T2DM). However, the relationship of ferroptosis and IBCD remains unknown. This study was aimed to screen potential ferroptosis key genes to reveal latent physiological and pathological p...

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Autores principales: Ye, Haowen, Wang, Ruxin, Wei, Jinjing, Wang, Ying, Zhang, Xiaofang, Wang, Lihong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309693/
https://www.ncbi.nlm.nih.gov/pubmed/35898457
http://dx.doi.org/10.3389/fendo.2022.904312
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author Ye, Haowen
Wang, Ruxin
Wei, Jinjing
Wang, Ying
Zhang, Xiaofang
Wang, Lihong
author_facet Ye, Haowen
Wang, Ruxin
Wei, Jinjing
Wang, Ying
Zhang, Xiaofang
Wang, Lihong
author_sort Ye, Haowen
collection PubMed
description BACKGROUND: Islet β cells dysfunction (IBCD) is a cortical component in pathogenesis of type 2 diabetic mellitus (T2DM). However, the relationship of ferroptosis and IBCD remains unknown. This study was aimed to screen potential ferroptosis key genes to reveal latent physiological and pathological process of IBCD in T2DM. METHODS: Firstly, T2DM key genes were screened by combining with differentially expressed genes (DEGs) analysis and WGCNA. Then, ferroptosis-related genes (FRGs) in IBCD of T2DM were identified by taking the intersection between T2DM key genes and FRGs. Finally, T2DM-FRGs were validated in another T2DM dataset as well as islet single-cell RNA sequencing dataset and the miRNA regulated T2DM-FRG was predicted by using four miRNA databases. RESULTS: 89 T2DM key genes were identified between DEGs and WGCNA. Then, 3 T2DM-FRGs were screened by taking the intersection of T2DM key genes and FRGs, namely ITGA6, MGST1 and ENO2. At last, MGST1 were validated as the T2DM-FRG in another T2DM islet issues dataset and islet single-cell RNA sequencing dataset. CONCLUSION: MGST1 may be the potential ferroptosis key gene of IBCD in T2DM.
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spelling pubmed-93096932022-07-26 Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction Ye, Haowen Wang, Ruxin Wei, Jinjing Wang, Ying Zhang, Xiaofang Wang, Lihong Front Endocrinol (Lausanne) Endocrinology BACKGROUND: Islet β cells dysfunction (IBCD) is a cortical component in pathogenesis of type 2 diabetic mellitus (T2DM). However, the relationship of ferroptosis and IBCD remains unknown. This study was aimed to screen potential ferroptosis key genes to reveal latent physiological and pathological process of IBCD in T2DM. METHODS: Firstly, T2DM key genes were screened by combining with differentially expressed genes (DEGs) analysis and WGCNA. Then, ferroptosis-related genes (FRGs) in IBCD of T2DM were identified by taking the intersection between T2DM key genes and FRGs. Finally, T2DM-FRGs were validated in another T2DM dataset as well as islet single-cell RNA sequencing dataset and the miRNA regulated T2DM-FRG was predicted by using four miRNA databases. RESULTS: 89 T2DM key genes were identified between DEGs and WGCNA. Then, 3 T2DM-FRGs were screened by taking the intersection of T2DM key genes and FRGs, namely ITGA6, MGST1 and ENO2. At last, MGST1 were validated as the T2DM-FRG in another T2DM islet issues dataset and islet single-cell RNA sequencing dataset. CONCLUSION: MGST1 may be the potential ferroptosis key gene of IBCD in T2DM. Frontiers Media S.A. 2022-07-11 /pmc/articles/PMC9309693/ /pubmed/35898457 http://dx.doi.org/10.3389/fendo.2022.904312 Text en Copyright © 2022 Ye, Wang, Wei, Wang, Zhang and Wang 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
Ye, Haowen
Wang, Ruxin
Wei, Jinjing
Wang, Ying
Zhang, Xiaofang
Wang, Lihong
Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction
title Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction
title_full Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction
title_fullStr Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction
title_full_unstemmed Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction
title_short Bioinformatics Analysis Identifies Potential Ferroptosis Key Gene in Type 2 Diabetic Islet Dysfunction
title_sort bioinformatics analysis identifies potential ferroptosis key gene in type 2 diabetic islet dysfunction
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9309693/
https://www.ncbi.nlm.nih.gov/pubmed/35898457
http://dx.doi.org/10.3389/fendo.2022.904312
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