Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients.
ARDS subphenotypes
inflammation
lung injury
miRNA signature
miRNAs
Journal
Journal of personalized medicine
ISSN: 2075-4426
Titre abrégé: J Pers Med
Pays: Switzerland
ID NLM: 101602269
Informations de publication
Date de publication:
27 Dec 2020
27 Dec 2020
Historique:
received:
03
11
2020
revised:
07
12
2020
accepted:
25
12
2020
entrez:
30
12
2020
pubmed:
31
12
2020
medline:
31
12
2020
Statut:
epublish
Résumé
There is a need to improve acute respiratory distress syndrome (ARDS) diagnosis and management, particularly with extracorporeal membrane oxygenation (ECMO), and different biomarkers have been tested to implement a precision-focused approach. We included ARDS patients on veno-venous (V-V) ECMO in a prospective observational pilot study. Blood samples were obtained before cannulation, and screened for the expression of 754 circulating microRNA (miRNAs) using high-throughput qPCR and hierarchical cluster analysis. The miRNet database was used to predict target genes of deregulated miRNAs, and the DIANA tool was used to identify significant enrichment pathways. A hierarchical cluster of 229 miRNAs (identified after quality control screening) produced a clear separation of 11 patients into two groups: considering the baseline SAPS II, SOFA, and RESP score cluster A (
Identifiants
pubmed: 33375484
pii: jpm11010015
doi: 10.3390/jpm11010015
pmc: PMC7824233
pii:
doi:
Types de publication
Journal Article
Langues
eng
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