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Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers
BACKGROUND: Diabetic nephropathy (DN) is the common cause of renal diseases such as end-stage renal disease (ESRD) and chronic kidney disease (CKD). Various diagnostic applications and treatment methods are used for clinical but remain some prognosis issues. To avoid morbidity and mortality related...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961165/ https://www.ncbi.nlm.nih.gov/pubmed/35359345 http://dx.doi.org/10.2147/DMSO.S355783 |
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author | Tu, Chao Wei, Lan Wang, Liangzhi Tang, Ying |
author_facet | Tu, Chao Wei, Lan Wang, Liangzhi Tang, Ying |
author_sort | Tu, Chao |
collection | PubMed |
description | BACKGROUND: Diabetic nephropathy (DN) is the common cause of renal diseases such as end-stage renal disease (ESRD) and chronic kidney disease (CKD). Various diagnostic applications and treatment methods are used for clinical but remain some prognosis issues. To avoid morbidity and mortality related to DN, early detection of disease complications as well as targeted therapeutic strategies is essential. Considerable evidence indicates that non-coding RNA plays a vital role in the biological processes of various diseases, used as biomarkers and therapeutic targets. And the most known ncRNAs are the microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs). MATERIALS AND METHODS: Our study aimed to identify potential prognostic ncRNAs involved in DN by bioinformatics analysis and validated expression levels through quantitative polymerase chain reaction (qPCR) and GEO database. Our research focuses on differential expression miRNAs (DEmiRNAs) in DN and their interactions with critical genes. RESULTS: We identified 8 up-regulated DEmiRNAs, including miR-103a-2-5p, miR-297, miR-548x-3p, miR-604, miR-644a, miR-1256, miR-3911 and miR-5047 finally. We further validated these miRNAs in a murine model. CONCLUSION: Identifying these up-regulated genes and elucidating these miRNAs regulatory network will contribute to a better understanding of the molecular mechanism of DN and how they can be used as new biomarkers and potential therapeutic targets for DN. |
format | Online Article Text |
id | pubmed-8961165 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-89611652022-03-30 Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers Tu, Chao Wei, Lan Wang, Liangzhi Tang, Ying Diabetes Metab Syndr Obes Original Research BACKGROUND: Diabetic nephropathy (DN) is the common cause of renal diseases such as end-stage renal disease (ESRD) and chronic kidney disease (CKD). Various diagnostic applications and treatment methods are used for clinical but remain some prognosis issues. To avoid morbidity and mortality related to DN, early detection of disease complications as well as targeted therapeutic strategies is essential. Considerable evidence indicates that non-coding RNA plays a vital role in the biological processes of various diseases, used as biomarkers and therapeutic targets. And the most known ncRNAs are the microRNAs (miRNAs), long noncoding RNAs (lncRNAs), and circular RNAs (circRNAs). MATERIALS AND METHODS: Our study aimed to identify potential prognostic ncRNAs involved in DN by bioinformatics analysis and validated expression levels through quantitative polymerase chain reaction (qPCR) and GEO database. Our research focuses on differential expression miRNAs (DEmiRNAs) in DN and their interactions with critical genes. RESULTS: We identified 8 up-regulated DEmiRNAs, including miR-103a-2-5p, miR-297, miR-548x-3p, miR-604, miR-644a, miR-1256, miR-3911 and miR-5047 finally. We further validated these miRNAs in a murine model. CONCLUSION: Identifying these up-regulated genes and elucidating these miRNAs regulatory network will contribute to a better understanding of the molecular mechanism of DN and how they can be used as new biomarkers and potential therapeutic targets for DN. Dove 2022-03-24 /pmc/articles/PMC8961165/ /pubmed/35359345 http://dx.doi.org/10.2147/DMSO.S355783 Text en © 2022 Tu et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Tu, Chao Wei, Lan Wang, Liangzhi Tang, Ying Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers |
title | Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers |
title_full | Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers |
title_fullStr | Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers |
title_full_unstemmed | Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers |
title_short | Eight Differential miRNAs in DN Identified by Microarray Analysis as Novel Biomarkers |
title_sort | eight differential mirnas in dn identified by microarray analysis as novel biomarkers |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8961165/ https://www.ncbi.nlm.nih.gov/pubmed/35359345 http://dx.doi.org/10.2147/DMSO.S355783 |
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