Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/11/1/15 |
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| author | Gennaro Martucci Antonio Arcadipane Fabio Tuzzolino Giovanna Occhipinti Giovanna Panarello Claudia Carcione Eleonora Bonicolini Chiara Vitiello Roberto Lorusso Pier Giulio Conaldi Vitale Miceli |
| author_facet | Gennaro Martucci Antonio Arcadipane Fabio Tuzzolino Giovanna Occhipinti Giovanna Panarello Claudia Carcione Eleonora Bonicolini Chiara Vitiello Roberto Lorusso Pier Giulio Conaldi Vitale Miceli |
| author_sort | Gennaro Martucci |
| collection | DOAJ |
| description | 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 (<i>n</i> = 6) showed higher severity compared to cluster B (<i>n</i> = 5); <i>p</i> values < 0.05. After analysis of differentially expressed miRNAs between the two clusters, 95 deregulated miRNAs were identified, and reduced to 13 by in silico analysis. These miRNAs target genes implicated in tissue remodeling, immune system, and blood coagulation pathways. The blood levels of 13 miRNAs are altered in severe ARDS. Further investigations will have to match miRNA results with inflammatory biomarkers and clinical data. |
| first_indexed | 2024-03-10T13:44:45Z |
| format | Article |
| id | doaj.art-a58c981e1e9a464ba9e55d4f34cef373 |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-10T13:44:45Z |
| publishDate | 2020-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-a58c981e1e9a464ba9e55d4f34cef3732023-11-21T02:44:14ZengMDPI AGJournal of Personalized Medicine2075-44262020-12-011111510.3390/jpm11010015Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome PatientsGennaro Martucci0Antonio Arcadipane1Fabio Tuzzolino2Giovanna Occhipinti3Giovanna Panarello4Claudia Carcione5Eleonora Bonicolini6Chiara Vitiello7Roberto Lorusso8Pier Giulio Conaldi9Vitale Miceli10Anesthesia and Intensive Care Department, IRCCS-ISMETT, 90133 Palermo, ItalyAnesthesia and Intensive Care Department, IRCCS-ISMETT, 90133 Palermo, ItalyResearch Department, IRCCS-ISMETT, 90133 Palermo, ItalyAnesthesia and Intensive Care Department, IRCCS-ISMETT, 90133 Palermo, ItalyAnesthesia and Intensive Care Department, IRCCS-ISMETT, 90133 Palermo, ItalyFondazione Ri.MED, 90133 Palermo, ItalyAnesthesia and Intensive Care Department, IRCCS-ISMETT, 90133 Palermo, ItalyAnesthesia and Intensive Care Department, IRCCS-ISMETT, 90133 Palermo, ItalyCardio-Thoracic Surgery Department Heart and Vascular Centre, Maastricht University Medical Centre, 6229 HX Maastricht, The NetherlandsResearch Department, IRCCS-ISMETT, 90133 Palermo, ItalyResearch Department, IRCCS-ISMETT, 90133 Palermo, ItalyThere 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 (<i>n</i> = 6) showed higher severity compared to cluster B (<i>n</i> = 5); <i>p</i> values < 0.05. After analysis of differentially expressed miRNAs between the two clusters, 95 deregulated miRNAs were identified, and reduced to 13 by in silico analysis. These miRNAs target genes implicated in tissue remodeling, immune system, and blood coagulation pathways. The blood levels of 13 miRNAs are altered in severe ARDS. Further investigations will have to match miRNA results with inflammatory biomarkers and clinical data.https://www.mdpi.com/2075-4426/11/1/15ARDS subphenotypesmiRNAsmiRNA signaturelung injuryinflammation |
| spellingShingle | Gennaro Martucci Antonio Arcadipane Fabio Tuzzolino Giovanna Occhipinti Giovanna Panarello Claudia Carcione Eleonora Bonicolini Chiara Vitiello Roberto Lorusso Pier Giulio Conaldi Vitale Miceli Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients Journal of Personalized Medicine ARDS subphenotypes miRNAs miRNA signature lung injury inflammation |
| title | Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients |
| title_full | Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients |
| title_fullStr | Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients |
| title_full_unstemmed | Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients |
| title_short | Identification of a Circulating miRNA Signature to Stratify Acute Respiratory Distress Syndrome Patients |
| title_sort | identification of a circulating mirna signature to stratify acute respiratory distress syndrome patients |
| topic | ARDS subphenotypes miRNAs miRNA signature lung injury inflammation |
| url | https://www.mdpi.com/2075-4426/11/1/15 |
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