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| Status |
Public on Feb 28, 2022 |
| Title |
Transcriptomic clustering of critically-ill COVID-19 patients [Day 1-miRNA-Seq] |
| Organism |
Homo sapiens |
| Experiment type |
Non-coding RNA profiling by high throughput sequencing
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| Summary |
Infections caused by SARS-CoV-2 may cause a severe disease, termed COVID-19, with significant mortality. Host responses to this infection, mainly in terms of systemic inflammation, have emerged as key pathogenetic mechanisms, and their modulation is the only therapeutic strategy that has shown a mortality benefit. Herein, we used peripheral blood transcriptomes of critically-ill COVID-19 patients obtained at admission in an Intensive Care Unit, to identify two clusters that, in spite of no major clinical differences, have different gene expression profiles that reveal different underlying pathogenetic mechanisms and ultimately have different ICU outcome. A transcriptomic signature was used to identify these clusters in an external validation cohort, yielding a similar result. These results illustrate the potential of transcriptomic profiles to identify patient endotypes and point to relevant pathogenetic mechanisms in COVID-19.
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| Overall design |
Data from 46 patients was analyzed. Serum microRNAs were sequenced and the corresponding RNA-miRNA pairs analyzed.
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| Contributor(s) |
Albaiceta GM, Amado-Rodríguez L, López-Martínez C, López-Alonso I |
| Citation(s) |
36104291 |
| |
| Submission date |
Feb 23, 2022 |
| Last update date |
Jul 31, 2023 |
| Contact name |
Guillermo M Albaiceta |
| E-mail(s) |
gma@crit-lab.org
|
| Phone |
+34 985 652433
|
| Organization name |
Instituto de Investigación Sanitaria del Principado de Asturias
|
| Lab |
Laboratorio de Investigación Traslacional en el paciente crítico
|
| Street address |
Avenida de Roma s/n
|
| City |
Oviedo |
| ZIP/Postal code |
33011 |
| Country |
Spain |
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| Platforms (1) |
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| Samples (46)
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| This SubSeries is part of SuperSeries: |
| GSE197259 |
Transcriptomic clustering of critically-ill COVID-19 patients |
|
| Relations |
| BioProject |
PRJNA809566 |
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