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Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation
Lower respiratory infections, such as community-acquired pneumonia (CAP), and chronic obstructive pulmonary disease (COPD) rank among the most frequent causes of death worldwide. Improved diagnostics and profound pathophysiological insights are urgent clinical needs. In our cohort, we analysed trans...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959367/ https://www.ncbi.nlm.nih.gov/pubmed/31937830 http://dx.doi.org/10.1038/s41598-019-57108-0 |
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author | Bertrams, Wilhelm Griss, Kathrin Han, Maria Seidel, Kerstin Klemmer, Andreas Sittka-Stark, Alexandra Hippenstiel, Stefan Suttorp, Norbert Finkernagel, Florian Wilhelm, Jochen Greulich, Timm Vogelmeier, Claus F. Vera, Julio Schmeck, Bernd |
author_facet | Bertrams, Wilhelm Griss, Kathrin Han, Maria Seidel, Kerstin Klemmer, Andreas Sittka-Stark, Alexandra Hippenstiel, Stefan Suttorp, Norbert Finkernagel, Florian Wilhelm, Jochen Greulich, Timm Vogelmeier, Claus F. Vera, Julio Schmeck, Bernd |
author_sort | Bertrams, Wilhelm |
collection | PubMed |
description | Lower respiratory infections, such as community-acquired pneumonia (CAP), and chronic obstructive pulmonary disease (COPD) rank among the most frequent causes of death worldwide. Improved diagnostics and profound pathophysiological insights are urgent clinical needs. In our cohort, we analysed transcriptional networks of peripheral blood mononuclear cells (PBMCs) to identify central regulators and potential biomarkers. We investigated the mRNA- and miRNA-transcriptome of PBMCs of healthy subjects and patients suffering from CAP or AECOPD by microarray and Taqman Low Density Array. Genes that correlated with PBMC composition were eliminated, and remaining differentially expressed genes were grouped into modules. One selected module (120 genes) was particularly suitable to discriminate AECOPD and CAP and most notably contained a subset of five biologically relevant mRNAs that differentiated between CAP and AECOPD with an AUC of 86.1%. Likewise, we identified several microRNAs, e.g. miR-545-3p and miR-519c-3p, which separated AECOPD and CAP. We furthermore retrieved an integrated network of differentially regulated mRNAs and microRNAs and identified HNF4A, MCC and MUC1 as central network regulators or most important discriminatory markers. In summary, transcriptional analysis retrieved potential biomarkers and central molecular features of CAP and AECOPD. |
format | Online Article Text |
id | pubmed-6959367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69593672020-01-17 Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation Bertrams, Wilhelm Griss, Kathrin Han, Maria Seidel, Kerstin Klemmer, Andreas Sittka-Stark, Alexandra Hippenstiel, Stefan Suttorp, Norbert Finkernagel, Florian Wilhelm, Jochen Greulich, Timm Vogelmeier, Claus F. Vera, Julio Schmeck, Bernd Sci Rep Article Lower respiratory infections, such as community-acquired pneumonia (CAP), and chronic obstructive pulmonary disease (COPD) rank among the most frequent causes of death worldwide. Improved diagnostics and profound pathophysiological insights are urgent clinical needs. In our cohort, we analysed transcriptional networks of peripheral blood mononuclear cells (PBMCs) to identify central regulators and potential biomarkers. We investigated the mRNA- and miRNA-transcriptome of PBMCs of healthy subjects and patients suffering from CAP or AECOPD by microarray and Taqman Low Density Array. Genes that correlated with PBMC composition were eliminated, and remaining differentially expressed genes were grouped into modules. One selected module (120 genes) was particularly suitable to discriminate AECOPD and CAP and most notably contained a subset of five biologically relevant mRNAs that differentiated between CAP and AECOPD with an AUC of 86.1%. Likewise, we identified several microRNAs, e.g. miR-545-3p and miR-519c-3p, which separated AECOPD and CAP. We furthermore retrieved an integrated network of differentially regulated mRNAs and microRNAs and identified HNF4A, MCC and MUC1 as central network regulators or most important discriminatory markers. In summary, transcriptional analysis retrieved potential biomarkers and central molecular features of CAP and AECOPD. Nature Publishing Group UK 2020-01-14 /pmc/articles/PMC6959367/ /pubmed/31937830 http://dx.doi.org/10.1038/s41598-019-57108-0 Text en © The Author(s) 2020 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 Bertrams, Wilhelm Griss, Kathrin Han, Maria Seidel, Kerstin Klemmer, Andreas Sittka-Stark, Alexandra Hippenstiel, Stefan Suttorp, Norbert Finkernagel, Florian Wilhelm, Jochen Greulich, Timm Vogelmeier, Claus F. Vera, Julio Schmeck, Bernd Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation |
title | Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation |
title_full | Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation |
title_fullStr | Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation |
title_full_unstemmed | Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation |
title_short | Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation |
title_sort | transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and copd exacerbation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959367/ https://www.ncbi.nlm.nih.gov/pubmed/31937830 http://dx.doi.org/10.1038/s41598-019-57108-0 |
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