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Disease severity-specific neutrophil signatures in blood transcriptomes stratify COVID-19 patients.

Authors:
Anna C Aschenbrenner Maria Mouktaroudi Benjamin Krämer Marie Oestreich Nikolaos Antonakos Melanie Nuesch-Germano Konstantina Gkizeli Lorenzo Bonaguro Nico Reusch Kevin Baßler Maria Saridaki Rainer Knoll Tal Pecht Theodore S Kapellos Sarandia Doulou Charlotte Kröger Miriam Herbert Lisa Holsten Arik Horne Ioanna D Gemünd Nikoletta Rovina Shobhit Agrawal Kilian Dahm Martina van Uelft Anna Drews Lena Lenkeit Niklas Bruse Jelle Gerretsen Jannik Gierlich Matthias Becker Kristian Händler Michael Kraut Heidi Theis Simachew Mengiste Elena De Domenico Jonas Schulte-Schrepping Lea Seep Jan Raabe Christoph Hoffmeister Michael ToVinh Verena Keitel Gereon Rieke Valentina Talevi Dirk Skowasch N Ahmad Aziz Peter Pickkers Frank L van de Veerdonk Mihai G Netea Joachim L Schultze Matthijs Kox Monique M B Breteler Jacob Nattermann Antonia Koutsoukou Evangelos J Giamarellos-Bourboulis Thomas Ulas

Genome Med 2021 01 13;13(1). Epub 2021 Jan 13.

Systems Medicine, German Center for Neurodegenerative Diseases (DZNE), Bonn, Germany.

Background: The SARS-CoV-2 pandemic is currently leading to increasing numbers of COVID-19 patients all over the world. Clinical presentations range from asymptomatic, mild respiratory tract infection, to severe cases with acute respiratory distress syndrome, respiratory failure, and death. Reports on a dysregulated immune system in the severe cases call for a better characterization and understanding of the changes in the immune system.

Methods: In order to dissect COVID-19-driven immune host responses, we performed RNA-seq of whole blood cell transcriptomes and granulocyte preparations from mild and severe COVID-19 patients and analyzed the data using a combination of conventional and data-driven co-expression analysis. Additionally, publicly available data was used to show the distinction from COVID-19 to other diseases. Reverse drug target prediction was used to identify known or novel drug candidates based on finding from data-driven findings.

Results: Here, we profiled whole blood transcriptomes of 39 COVID-19 patients and 10 control donors enabling a data-driven stratification based on molecular phenotype. Neutrophil activation-associated signatures were prominently enriched in severe patient groups, which was corroborated in whole blood transcriptomes from an independent second cohort of 30 as well as in granulocyte samples from a third cohort of 16 COVID-19 patients (44 samples). Comparison of COVID-19 blood transcriptomes with those of a collection of over 3100 samples derived from 12 different viral infections, inflammatory diseases, and independent control samples revealed highly specific transcriptome signatures for COVID-19. Further, stratified transcriptomes predicted patient subgroup-specific drug candidates targeting the dysregulated systemic immune response of the host.

Conclusions: Our study provides novel insights in the distinct molecular subgroups or phenotypes that are not simply explained by clinical parameters. We show that whole blood transcriptomes are extremely informative for COVID-19 since they capture granulocytes which are major drivers of disease severity.

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http://dx.doi.org/10.1186/s13073-020-00823-5DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7805430PMC
January 2021

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