Complete title: Value of a secretomic approach for distinguishing patients with COVID-19 viral pneumonia among patients with respiratory distress admitted to intensive care unit Shortened title: Secretomic to distinguish COVID-19 patients
Rattachement africain : fr. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
Introduction : In intensive care units, COVID-19 viral pneumonia patients (VPP) present symptoms similar to those of other patients with non-viral infection (NV-ICU). To better manage VPP, it is therefore interesting to better understand the molecular pathophysiology of viral pneumonia and to search for biomarkers that may clarify the diagnosis. The secretome being a set of proteins secreted by cells in response to stimuli represents an opportunity to discover new biomarkers. Aims : Identify secretomic signatures of VPP with those NV-ICU. Methods : Plasma samples and clinical data from NV-ICU (n=104), VPP (n=30) or healthy donors (HD, n=20) were collected at Nantes Hospital (France) upon admission. Samples were enriched for the low-abundant proteins and analyzed using non-target mass spectrometry. Specifically deregulated proteins (DEP) in VPP versus NV-ICU were selected. Combinations of 2 to 4 DEPs were established. Results : The differences in secretome profiles of the VPP and NV-ICU groups were highlighted. Forty-one DEPs were specifically identified in VPP compared to NV-ICU. Five combinations of 3 proteins with a receiver operating characteristic curve presenting an area under the curve of 95.0% were identified. Conclusion : This study identifies five combinations of candidate biomarkers in VPP compared to NV-ICU that may help distinguish the underlying causal molecular alterations.
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Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Complete title: Value of a secretomic approach for distinguishing patients with COVID-19 viral pneumonia among patients with respiratory distress admitted to intensive care unit Shortened title: Secretomic to distinguish COVID-19 patients
- Date Crossref
- 18/10/2023
- Éditeur
- Wiley
- Type
- posted-content
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
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