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Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis

Extracellular circulating miRNAs (ECmiRNAs) play a crucial role in cell-to-cell communication and serve as non-invasive biomarkers in a wide range of diseases, but their abundance and functional relevance in cystic fibrosis (CF) remain poorly understood. In this study, we employed microarray technol...

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Autores principales: Ideozu, Justin E., Zhang, Xi, Rangaraj, Vittobai, McColley, Susanna, Levy, Hara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820733/
https://www.ncbi.nlm.nih.gov/pubmed/31664087
http://dx.doi.org/10.1038/s41598-019-51890-7
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author Ideozu, Justin E.
Zhang, Xi
Rangaraj, Vittobai
McColley, Susanna
Levy, Hara
author_facet Ideozu, Justin E.
Zhang, Xi
Rangaraj, Vittobai
McColley, Susanna
Levy, Hara
author_sort Ideozu, Justin E.
collection PubMed
description Extracellular circulating miRNAs (ECmiRNAs) play a crucial role in cell-to-cell communication and serve as non-invasive biomarkers in a wide range of diseases, but their abundance and functional relevance in cystic fibrosis (CF) remain poorly understood. In this study, we employed microarray technology to identify aberrantly expressed plasma ECmiRNAs in CF and elucidate the functional relevance of their targets. Overall, we captured several ECmiRNAs abundantly expressed in CF. Expression levels of 11 ECmiRNAs differed significantly between CF and healthy control (HC) samples (FDR < 0.05, log2 FC≥2). Among these, 10 were overexpressed while only hsa-miR-598-3p was underexpressed in CF. The overexpressed miRNAs included three let-7 family members (hsa-let-7b-5p, hsa-let-7c-5p and hsa-let-7d-5p), three 103/107 family members (hsa-mir-103a-3p; hsa-mir-103b; hsa-mir-107), hsa-miR-486-5p, and other miRNAs. Using in silico methods, we identified 2,505 validated targets of the 11 differentially expressed miRNAs. Hsa-let-7b-5p was the most important hub in the network analysis. The top-ranked validated targets were involved in miRNA biogenesis and gene expression, including AGO1, DICER1, HMGA1, and MYC. The top pathways influenced by all targets were primarily signal transduction pathways associated with CF, including PI3K/Akt-, Wnt/β catenin-, glucocorticoid receptor-, and mTor signaling pathways. Our results suggest ECmiRNAs may be clinically relevant in CF and warrant further study.
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spelling pubmed-68207332019-11-04 Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis Ideozu, Justin E. Zhang, Xi Rangaraj, Vittobai McColley, Susanna Levy, Hara Sci Rep Article Extracellular circulating miRNAs (ECmiRNAs) play a crucial role in cell-to-cell communication and serve as non-invasive biomarkers in a wide range of diseases, but their abundance and functional relevance in cystic fibrosis (CF) remain poorly understood. In this study, we employed microarray technology to identify aberrantly expressed plasma ECmiRNAs in CF and elucidate the functional relevance of their targets. Overall, we captured several ECmiRNAs abundantly expressed in CF. Expression levels of 11 ECmiRNAs differed significantly between CF and healthy control (HC) samples (FDR < 0.05, log2 FC≥2). Among these, 10 were overexpressed while only hsa-miR-598-3p was underexpressed in CF. The overexpressed miRNAs included three let-7 family members (hsa-let-7b-5p, hsa-let-7c-5p and hsa-let-7d-5p), three 103/107 family members (hsa-mir-103a-3p; hsa-mir-103b; hsa-mir-107), hsa-miR-486-5p, and other miRNAs. Using in silico methods, we identified 2,505 validated targets of the 11 differentially expressed miRNAs. Hsa-let-7b-5p was the most important hub in the network analysis. The top-ranked validated targets were involved in miRNA biogenesis and gene expression, including AGO1, DICER1, HMGA1, and MYC. The top pathways influenced by all targets were primarily signal transduction pathways associated with CF, including PI3K/Akt-, Wnt/β catenin-, glucocorticoid receptor-, and mTor signaling pathways. Our results suggest ECmiRNAs may be clinically relevant in CF and warrant further study. Nature Publishing Group UK 2019-10-29 /pmc/articles/PMC6820733/ /pubmed/31664087 http://dx.doi.org/10.1038/s41598-019-51890-7 Text en © The Author(s) 2019 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Ideozu, Justin E.
Zhang, Xi
Rangaraj, Vittobai
McColley, Susanna
Levy, Hara
Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis
title Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis
title_full Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis
title_fullStr Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis
title_full_unstemmed Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis
title_short Microarray profiling identifies extracellular circulating miRNAs dysregulated in cystic fibrosis
title_sort microarray profiling identifies extracellular circulating mirnas dysregulated in cystic fibrosis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6820733/
https://www.ncbi.nlm.nih.gov/pubmed/31664087
http://dx.doi.org/10.1038/s41598-019-51890-7
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