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Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy

Diabetic cardiomyopathy (DCM) lacks diagnostic biomarkers. Circulating long non-coding RNAs (lncRNAs) can serve as valuable diagnostic biomarkers in cardiovascular disease. To seek potential lncRNAs as a diagnostic biomarker for DCM, we investigated the genome-wide expression profiling of circulatin...

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Autores principales: Pant, Tarun, Dhanasekaran, Anuradha, Zhao, Ming, Thorp, Edward B., Forbess, Joseph M., Bosnjak, Zeljko J., Benjamin, Ivor J., Ge, Zhi-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843621/
https://www.ncbi.nlm.nih.gov/pubmed/33510471
http://dx.doi.org/10.1038/s41598-021-82345-7
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author Pant, Tarun
Dhanasekaran, Anuradha
Zhao, Ming
Thorp, Edward B.
Forbess, Joseph M.
Bosnjak, Zeljko J.
Benjamin, Ivor J.
Ge, Zhi-Dong
author_facet Pant, Tarun
Dhanasekaran, Anuradha
Zhao, Ming
Thorp, Edward B.
Forbess, Joseph M.
Bosnjak, Zeljko J.
Benjamin, Ivor J.
Ge, Zhi-Dong
author_sort Pant, Tarun
collection PubMed
description Diabetic cardiomyopathy (DCM) lacks diagnostic biomarkers. Circulating long non-coding RNAs (lncRNAs) can serve as valuable diagnostic biomarkers in cardiovascular disease. To seek potential lncRNAs as a diagnostic biomarker for DCM, we investigated the genome-wide expression profiling of circulating lncRNAs and mRNAs in type 2 diabetic db/db mice with and without DCM and performed bioinformatic analyses of the deregulated lncRNA-mRNA co-expression network. Db/db mice had obesity and hyperglycemia with normal cardiac function at 6 weeks of age (diabetes without DCM) but with an impaired cardiac function at 20 weeks of age (DCM) on an isolated Langendorff apparatus. Compared with the age-matched controls, 152 circulating lncRNAs, 127 mRNAs and 3355 lncRNAs, 2580 mRNAs were deregulated in db/db mice without and with DCM, respectively. The lncRNA-mRNA co-expression network analysis showed that five deregulated lncRNAs, XLOC015617, AK035192, Gm10435, TCR-α chain, and MouselincRNA0135, have the maximum connections with differentially expressed mRNAs. Bioinformatic analysis revealed that these five lncRNAs were highly associated with the development and motion of myofilaments, regulation of inflammatory and immune responses, and apoptosis. This finding was validated by the ultrastructural examination of myocardial samples from the db/db mice with DCM using electron microscopy and changes in the expression of myocardial tumor necrosis factor-α and phosphorylated p38 mitogen-activated protein kinase in db/db mice with DCM. These results indicate that XLOC015617, AK035192, Gm10435, TCR-α chain, and MouselincRNA0135 are crucial circulating lncRNAs in the pathogenesis of DCM. These five circulating lncRNAs may have high potential as a diagnostic biomarker for DCM.
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spelling pubmed-78436212021-01-29 Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy Pant, Tarun Dhanasekaran, Anuradha Zhao, Ming Thorp, Edward B. Forbess, Joseph M. Bosnjak, Zeljko J. Benjamin, Ivor J. Ge, Zhi-Dong Sci Rep Article Diabetic cardiomyopathy (DCM) lacks diagnostic biomarkers. Circulating long non-coding RNAs (lncRNAs) can serve as valuable diagnostic biomarkers in cardiovascular disease. To seek potential lncRNAs as a diagnostic biomarker for DCM, we investigated the genome-wide expression profiling of circulating lncRNAs and mRNAs in type 2 diabetic db/db mice with and without DCM and performed bioinformatic analyses of the deregulated lncRNA-mRNA co-expression network. Db/db mice had obesity and hyperglycemia with normal cardiac function at 6 weeks of age (diabetes without DCM) but with an impaired cardiac function at 20 weeks of age (DCM) on an isolated Langendorff apparatus. Compared with the age-matched controls, 152 circulating lncRNAs, 127 mRNAs and 3355 lncRNAs, 2580 mRNAs were deregulated in db/db mice without and with DCM, respectively. The lncRNA-mRNA co-expression network analysis showed that five deregulated lncRNAs, XLOC015617, AK035192, Gm10435, TCR-α chain, and MouselincRNA0135, have the maximum connections with differentially expressed mRNAs. Bioinformatic analysis revealed that these five lncRNAs were highly associated with the development and motion of myofilaments, regulation of inflammatory and immune responses, and apoptosis. This finding was validated by the ultrastructural examination of myocardial samples from the db/db mice with DCM using electron microscopy and changes in the expression of myocardial tumor necrosis factor-α and phosphorylated p38 mitogen-activated protein kinase in db/db mice with DCM. These results indicate that XLOC015617, AK035192, Gm10435, TCR-α chain, and MouselincRNA0135 are crucial circulating lncRNAs in the pathogenesis of DCM. These five circulating lncRNAs may have high potential as a diagnostic biomarker for DCM. Nature Publishing Group UK 2021-01-28 /pmc/articles/PMC7843621/ /pubmed/33510471 http://dx.doi.org/10.1038/s41598-021-82345-7 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Pant, Tarun
Dhanasekaran, Anuradha
Zhao, Ming
Thorp, Edward B.
Forbess, Joseph M.
Bosnjak, Zeljko J.
Benjamin, Ivor J.
Ge, Zhi-Dong
Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy
title Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy
title_full Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy
title_fullStr Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy
title_full_unstemmed Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy
title_short Identification and analysis of circulating long non-coding RNAs with high significance in diabetic cardiomyopathy
title_sort identification and analysis of circulating long non-coding rnas with high significance in diabetic cardiomyopathy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7843621/
https://www.ncbi.nlm.nih.gov/pubmed/33510471
http://dx.doi.org/10.1038/s41598-021-82345-7
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