Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers

BackgroundEmerging evidence shows that exosomes play a crucial role in the occurrence and development of diabetes and its complications. The molecules in exosomes can be regarded as important markers for the diagnosis of diseases. However, it is presently unclear the pathological association mechani...

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Main Authors: Tian Fang, Gong Xue, Wu Jianjun, Long Wei, Zhang Xiaomeng, Yang Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-11-01
Series:Frontiers in Endocrinology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fendo.2022.1015800/full
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author Tian Fang
Gong Xue
Wu Jianjun
Long Wei
Zhang Xiaomeng
Yang Fan
Yang Fan
author_facet Tian Fang
Gong Xue
Wu Jianjun
Long Wei
Zhang Xiaomeng
Yang Fan
Yang Fan
author_sort Tian Fang
collection DOAJ
description BackgroundEmerging evidence shows that exosomes play a crucial role in the occurrence and development of diabetes and its complications. The molecules in exosomes can be regarded as important markers for the diagnosis of diseases. However, it is presently unclear the pathological association mechanism between exosomes and diabetes.ResultsIn this study, transcriptome data and lncRNA regulatory association data of human pancreatic islet-derived exosome were integrated to construct the ceRNA network. Network analysis revealed that lncRNA with differential expression were primarily involved in islet insulin secretion signaling pathways, including Hippo, TGF-beta, Wnt, FOXO, Neurotrophin and ErbB signaling pathway. Further, combined with miRNA mediated competitive regulation and differential expression analysis results, potential markers of diabetes were revealed and validated in independent datasets. Finally, we analyzed the mechanisms of diabetes based on the competitive regulatory association and function of lncRNA.ConclusionOur results suggest that lncRNA such as lncRNA PVT1, LINC00960 and hsa-miR-107 might be involved in inflammation response in T1DM, and the former lncRNA chose in the present study may serve as novel biomarkers and potential targets for the diagnosis and treatment of T1DM.
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spelling doaj.art-a28f4d33dc8c44e5b62adb6031a3ae462022-12-22T02:28:11ZengFrontiers Media S.A.Frontiers in Endocrinology1664-23922022-11-011310.3389/fendo.2022.10158001015800Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markersTian Fang0Gong Xue1Wu Jianjun2Long Wei3Zhang Xiaomeng4Yang Fan5Yang Fan6Department of Cardiology, The First Affiliated Hospital of Harbin Medical University, Harbin, ChinaHarbin Center for Disease Control and Prevention, Harbin Municipal Health Commission, Harbin, ChinaDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, ChinaDepartment of Cardiology, The Second Affiliated Hospital of Harbin Medical University, Harbin, ChinaKey Laboratory of Myocardial Ischemia, Ministry of Education, Harbin, ChinaBackgroundEmerging evidence shows that exosomes play a crucial role in the occurrence and development of diabetes and its complications. The molecules in exosomes can be regarded as important markers for the diagnosis of diseases. However, it is presently unclear the pathological association mechanism between exosomes and diabetes.ResultsIn this study, transcriptome data and lncRNA regulatory association data of human pancreatic islet-derived exosome were integrated to construct the ceRNA network. Network analysis revealed that lncRNA with differential expression were primarily involved in islet insulin secretion signaling pathways, including Hippo, TGF-beta, Wnt, FOXO, Neurotrophin and ErbB signaling pathway. Further, combined with miRNA mediated competitive regulation and differential expression analysis results, potential markers of diabetes were revealed and validated in independent datasets. Finally, we analyzed the mechanisms of diabetes based on the competitive regulatory association and function of lncRNA.ConclusionOur results suggest that lncRNA such as lncRNA PVT1, LINC00960 and hsa-miR-107 might be involved in inflammation response in T1DM, and the former lncRNA chose in the present study may serve as novel biomarkers and potential targets for the diagnosis and treatment of T1DM.https://www.frontiersin.org/articles/10.3389/fendo.2022.1015800/fulltype 1 diabetesexosomes miRNAnetworktissue exosomesGEO database
spellingShingle Tian Fang
Gong Xue
Wu Jianjun
Long Wei
Zhang Xiaomeng
Yang Fan
Yang Fan
Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers
Frontiers in Endocrinology
type 1 diabetes
exosomes miRNA
network
tissue exosomes
GEO database
title Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers
title_full Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers
title_fullStr Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers
title_full_unstemmed Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers
title_short Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers
title_sort dissecting lncrna mrna competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome mirna markers
topic type 1 diabetes
exosomes miRNA
network
tissue exosomes
GEO database
url https://www.frontiersin.org/articles/10.3389/fendo.2022.1015800/full
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