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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
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.
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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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