Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes

INTRODUCTION: Diabetes is a chronic inflammatory state, and a key role of lncRNAs in diabetes complications is a new area of research. METHODS: In this study, key lncRNAs related to diabetes inflammation were identified by RNA-chip mining and lncRNA-mRNA coexpression network construction and finally...

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Autores principales: Huang, Linjuan, Xiong, Shengxi, Liu, Hanshuang, Li, Min, Zhang, Ranran, Liu, Yan, Hu, Xiaolei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977555/
https://www.ncbi.nlm.nih.gov/pubmed/36874406
http://dx.doi.org/10.1155/2023/6072438
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author Huang, Linjuan
Xiong, Shengxi
Liu, Hanshuang
Li, Min
Zhang, Ranran
Liu, Yan
Hu, Xiaolei
author_facet Huang, Linjuan
Xiong, Shengxi
Liu, Hanshuang
Li, Min
Zhang, Ranran
Liu, Yan
Hu, Xiaolei
author_sort Huang, Linjuan
collection PubMed
description INTRODUCTION: Diabetes is a chronic inflammatory state, and a key role of lncRNAs in diabetes complications is a new area of research. METHODS: In this study, key lncRNAs related to diabetes inflammation were identified by RNA-chip mining and lncRNA-mRNA coexpression network construction and finally verified by RT-qPCR. RESULTS: We ultimately obtained 12 genes, including A1BG-AS1, AC084125.4, RAMP2-AS1, FTX, DBH-AS1, LOXL1-AS1, LINC00893, LINC00894, PVT1, RUSC1-AS1, HCG25, and ATP1B3-AS1. RT-qPCR assays verified that LOXL1-AS1, A1BG-AS1, FTX, PVT1, and HCG25 were upregulated in the HG+LPS-induced THP-1 cells, and LINC00893, LINC00894, RUSC1-AS1, DBH-AS1, and RAMP2-AS1 were downregulated in the HG+LPS-induced THP-1 cells. CONCLUSIONS: lncRNAs and mRNAs are extensively linked and form a coexpression network, and lncRNAs may influence the development of type 2 diabetes by regulating the corresponding mRNAs. The ten key genes obtained may become biomarkers of inflammation in type 2 diabetes in the future.
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spelling pubmed-99775552023-03-02 Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes Huang, Linjuan Xiong, Shengxi Liu, Hanshuang Li, Min Zhang, Ranran Liu, Yan Hu, Xiaolei J Renin Angiotensin Aldosterone Syst Research Article INTRODUCTION: Diabetes is a chronic inflammatory state, and a key role of lncRNAs in diabetes complications is a new area of research. METHODS: In this study, key lncRNAs related to diabetes inflammation were identified by RNA-chip mining and lncRNA-mRNA coexpression network construction and finally verified by RT-qPCR. RESULTS: We ultimately obtained 12 genes, including A1BG-AS1, AC084125.4, RAMP2-AS1, FTX, DBH-AS1, LOXL1-AS1, LINC00893, LINC00894, PVT1, RUSC1-AS1, HCG25, and ATP1B3-AS1. RT-qPCR assays verified that LOXL1-AS1, A1BG-AS1, FTX, PVT1, and HCG25 were upregulated in the HG+LPS-induced THP-1 cells, and LINC00893, LINC00894, RUSC1-AS1, DBH-AS1, and RAMP2-AS1 were downregulated in the HG+LPS-induced THP-1 cells. CONCLUSIONS: lncRNAs and mRNAs are extensively linked and form a coexpression network, and lncRNAs may influence the development of type 2 diabetes by regulating the corresponding mRNAs. The ten key genes obtained may become biomarkers of inflammation in type 2 diabetes in the future. Hindawi 2023-02-22 /pmc/articles/PMC9977555/ /pubmed/36874406 http://dx.doi.org/10.1155/2023/6072438 Text en Copyright © 2023 Linjuan Huang 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
Huang, Linjuan
Xiong, Shengxi
Liu, Hanshuang
Li, Min
Zhang, Ranran
Liu, Yan
Hu, Xiaolei
Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes
title Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes
title_full Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes
title_fullStr Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes
title_full_unstemmed Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes
title_short Bioinformatics Analysis of the Inflammation-Associated lncRNA-mRNA Coexpression Network in Type 2 Diabetes
title_sort bioinformatics analysis of the inflammation-associated lncrna-mrna coexpression network in type 2 diabetes
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9977555/
https://www.ncbi.nlm.nih.gov/pubmed/36874406
http://dx.doi.org/10.1155/2023/6072438
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