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MicroRNA profiling of diabetic atherosclerosis in a rat model
OBJECTIVE: The incidence of diabetic atherosclerosis (DA) is increasing worldwide. The study aim was to identify differentially expressed microRNAs (DE-miRs) potentially associated with the initiation and/or progression of DA, thereby yielding new insights into this disease. METHODS: Matched iliac a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215356/ https://www.ncbi.nlm.nih.gov/pubmed/30390707 http://dx.doi.org/10.1186/s40001-018-0354-5 |
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author | Li, Yuejin Xiao, Le Li, Jinyuan Sun, Ping Shang, Lei Zhang, Jian Zhao, Quan Ouyang, Yiming Li, Linhai Gong, Kunmei |
author_facet | Li, Yuejin Xiao, Le Li, Jinyuan Sun, Ping Shang, Lei Zhang, Jian Zhao, Quan Ouyang, Yiming Li, Linhai Gong, Kunmei |
author_sort | Li, Yuejin |
collection | PubMed |
description | OBJECTIVE: The incidence of diabetic atherosclerosis (DA) is increasing worldwide. The study aim was to identify differentially expressed microRNAs (DE-miRs) potentially associated with the initiation and/or progression of DA, thereby yielding new insights into this disease. METHODS: Matched iliac artery tissue samples were isolated from 6 male rats with or without DA. The Affymetrix GeneChip microRNA 4.0 Array was used to detect miRs. Differential expression between atherosclerotic group and non-atherosclerotic group samples was analyzed using the Gene-Cloud of Biotechnology Information platform. Targetscan and miRanda were then used to predict targets of DE-miRs. Functions and pathways were identified for significantly enriched candidate target genes and a DE-miR functional regulatory network was assembled to identify DA-associated core target genes. RESULTS: A total of nine DE-miRs (rno-miR-206-3p, rno-miR-133a-5p, rno-miR-133b-3p, rno-miR-133a-3p, rno-miR-325-5p, rno-miR-675-3p, rno-miR-411-5p, rno-miR-329-3p, and rno-miR-126a-3p) were identified, all of which were up-regulated and together predicted to target 3349 genes. The target genes were enriched in known functions and pathways related to lipid and glucose metabolism. The functional regulatory network indicated a modulatory pattern of these metabolic functions with DE-miRs. The miR-gene network suggested arpp19 and MDM4 as possible DA-related core target genes. CONCLUSION: The present study identified DE-miRs and miRNA-gene networks enriched for lipid and glucose metabolic functions and pathways, and arpp19 and MDM4 as potential DA-related core target genes, suggesting DE-miRs and/or arpp19 and MDM4 could act as potential diagnostic markers or therapeutic targets for DA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40001-018-0354-5) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6215356 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-62153562018-11-08 MicroRNA profiling of diabetic atherosclerosis in a rat model Li, Yuejin Xiao, Le Li, Jinyuan Sun, Ping Shang, Lei Zhang, Jian Zhao, Quan Ouyang, Yiming Li, Linhai Gong, Kunmei Eur J Med Res Research OBJECTIVE: The incidence of diabetic atherosclerosis (DA) is increasing worldwide. The study aim was to identify differentially expressed microRNAs (DE-miRs) potentially associated with the initiation and/or progression of DA, thereby yielding new insights into this disease. METHODS: Matched iliac artery tissue samples were isolated from 6 male rats with or without DA. The Affymetrix GeneChip microRNA 4.0 Array was used to detect miRs. Differential expression between atherosclerotic group and non-atherosclerotic group samples was analyzed using the Gene-Cloud of Biotechnology Information platform. Targetscan and miRanda were then used to predict targets of DE-miRs. Functions and pathways were identified for significantly enriched candidate target genes and a DE-miR functional regulatory network was assembled to identify DA-associated core target genes. RESULTS: A total of nine DE-miRs (rno-miR-206-3p, rno-miR-133a-5p, rno-miR-133b-3p, rno-miR-133a-3p, rno-miR-325-5p, rno-miR-675-3p, rno-miR-411-5p, rno-miR-329-3p, and rno-miR-126a-3p) were identified, all of which were up-regulated and together predicted to target 3349 genes. The target genes were enriched in known functions and pathways related to lipid and glucose metabolism. The functional regulatory network indicated a modulatory pattern of these metabolic functions with DE-miRs. The miR-gene network suggested arpp19 and MDM4 as possible DA-related core target genes. CONCLUSION: The present study identified DE-miRs and miRNA-gene networks enriched for lipid and glucose metabolic functions and pathways, and arpp19 and MDM4 as potential DA-related core target genes, suggesting DE-miRs and/or arpp19 and MDM4 could act as potential diagnostic markers or therapeutic targets for DA. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s40001-018-0354-5) contains supplementary material, which is available to authorized users. BioMed Central 2018-11-03 /pmc/articles/PMC6215356/ /pubmed/30390707 http://dx.doi.org/10.1186/s40001-018-0354-5 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Li, Yuejin Xiao, Le Li, Jinyuan Sun, Ping Shang, Lei Zhang, Jian Zhao, Quan Ouyang, Yiming Li, Linhai Gong, Kunmei MicroRNA profiling of diabetic atherosclerosis in a rat model |
title | MicroRNA profiling of diabetic atherosclerosis in a rat model |
title_full | MicroRNA profiling of diabetic atherosclerosis in a rat model |
title_fullStr | MicroRNA profiling of diabetic atherosclerosis in a rat model |
title_full_unstemmed | MicroRNA profiling of diabetic atherosclerosis in a rat model |
title_short | MicroRNA profiling of diabetic atherosclerosis in a rat model |
title_sort | microrna profiling of diabetic atherosclerosis in a rat model |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215356/ https://www.ncbi.nlm.nih.gov/pubmed/30390707 http://dx.doi.org/10.1186/s40001-018-0354-5 |
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