Transcriptional analysis identifies potential biomarkers and molecular regulators in pneumonia and COPD exacerbation
Autor: | Kathrin Griss, Claus Vogelmeier, Alexandra Sittka-Stark, M Han, Norbert Suttorp, Bernd Schmeck, Kerstin Seidel, Florian Finkernagel, Stefan Hippenstiel, Julio Vera, Wilhelm Bertrams, Jochen Wilhelm, Andreas Klemmer, Timm Greulich |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Male
0301 basic medicine Transcription Genetic Microarray Microarrays lcsh:Medicine Peripheral blood mononuclear cell Article Pulmonary Disease Chronic Obstructive 03 medical and health sciences 0302 clinical medicine microRNA medicine TaqMan Humans lcsh:Science Gene Messenger RNA COPD Multidisciplinary Molecular medicine business.industry Gene Expression Profiling lcsh:R Computational Biology Pneumonia medicine.disease Tissue Donors Community-Acquired Infections MicroRNAs 030104 developmental biology 030228 respiratory system Immunology Female lcsh:Q business Biomarkers |
Zdroj: | Scientific Reports, Vol 10, Iss 1, Pp 1-9 (2020) Scientific Reports |
ISSN: | 2045-2322 |
DOI: | 10.1038/s41598-019-57108-0 |
Popis: | 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. |
Databáze: | OpenAIRE |
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