Circulating proteomic signature of early ...
Document type :
Article dans une revue scientifique
Title :
Circulating proteomic signature of early death in heart failure patients with reduced ejection fraction - Short title: Proteomic signature of early death in heart failure patients
Author(s) :
Cuvelliez, Marie [Auteur]
Vandewalle, Vincent [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Brunin, Maxime [Auteur]
Beseme, Olivia [Auteur]
Hulot, Audrey [Auteur]
de Groote, Pascal [Auteur]
Amouyel, Philippe [Auteur]
Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Bauters, Christophe [Auteur]
Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Marot, Guillemette [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Pinet, Florence [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Vandewalle, Vincent [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Brunin, Maxime [Auteur]
Beseme, Olivia [Auteur]
Hulot, Audrey [Auteur]
de Groote, Pascal [Auteur]
Amouyel, Philippe [Auteur]
Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Bauters, Christophe [Auteur]
Facteurs de risque et déterminants moléculaires des maladies liées au vieillissement (RID-AGE) - U1167
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Marot, Guillemette [Auteur]
METRICS : Evaluation des technologies de santé et des pratiques médicales - ULR 2694
Evaluation des technologies de santé et des pratiques médicales - ULR 2694 [METRICS]
Pinet, Florence [Auteur]
Facteurs de Risque et Déterminants Moléculaires des Maladies liées au Vieillissement - U 1167 [RID-AGE]
Journal title :
Scientific Reports
Abbreviated title :
Sci. Rep.
Publisher :
Nature Publishing Group
Publication date :
2019
ISSN :
2045-2322
Keyword(s) :
Heart failure
Plasma subproteome
Biomarker
System biology analysis
LASSO analysis
Plasma subproteome
Biomarker
System biology analysis
LASSO analysis
HAL domain(s) :
Sciences du Vivant [q-bio]
English abstract : [en]
Heart failure (HF) remains a main cause of mortality worldwide. Risk stratification of patients with systolic chronic HF is critical to identify those who may benefit from advanced HF therapies. The aim of this study is ...
Show more >Heart failure (HF) remains a main cause of mortality worldwide. Risk stratification of patients with systolic chronic HF is critical to identify those who may benefit from advanced HF therapies. The aim of this study is to identify plasmatic proteins that could predict the early death (within 3 years) of HF patients with reduced ejection fraction hospitalized in CHRU de Lille. The subproteome targeted by an aptamer-based technology, the Slow Off-rate Modified Aptamer (SOMA) scan assay of 1310 proteins, was profiled in blood samples from 168 HF patients, and 203 proteins were significantly modulated between patients who died of cardiovascular death and patients who were alive after 3 years of HF evaluation (Wilcoxon test, FDR 5%). A molecular network was built using these 203 proteins, and the resulting network contained 2281 molecules assigned to 34 clusters annotated to biological pathways by Gene Ontology. This network model highlighted extracellular matrix organization as the main mechanism involved in early death in HF patients. In parallel, an adaptive Least Absolute Shrinkage and Selection Operator (LASSO) was performed on these 203 proteins, and six proteins were selected as candidates to predict early death in HF patients: complement C3, cathepsin S and F107B were decreased and MAPK5, MMP1 and MMP7 increased in patients who died of cardiovascular causes compared with patients living 3 years after HF evaluation. This proteomic signature of 6 circulating plasma proteins allows the identification of systolic HF patients with a risk of early death.Show less >
Show more >Heart failure (HF) remains a main cause of mortality worldwide. Risk stratification of patients with systolic chronic HF is critical to identify those who may benefit from advanced HF therapies. The aim of this study is to identify plasmatic proteins that could predict the early death (within 3 years) of HF patients with reduced ejection fraction hospitalized in CHRU de Lille. The subproteome targeted by an aptamer-based technology, the Slow Off-rate Modified Aptamer (SOMA) scan assay of 1310 proteins, was profiled in blood samples from 168 HF patients, and 203 proteins were significantly modulated between patients who died of cardiovascular death and patients who were alive after 3 years of HF evaluation (Wilcoxon test, FDR 5%). A molecular network was built using these 203 proteins, and the resulting network contained 2281 molecules assigned to 34 clusters annotated to biological pathways by Gene Ontology. This network model highlighted extracellular matrix organization as the main mechanism involved in early death in HF patients. In parallel, an adaptive Least Absolute Shrinkage and Selection Operator (LASSO) was performed on these 203 proteins, and six proteins were selected as candidates to predict early death in HF patients: complement C3, cathepsin S and F107B were decreased and MAPK5, MMP1 and MMP7 increased in patients who died of cardiovascular causes compared with patients living 3 years after HF evaluation. This proteomic signature of 6 circulating plasma proteins allows the identification of systolic HF patients with a risk of early death.Show less >
Language :
Anglais
Audience :
Internationale
Popular science :
Non
Submission date :
2020-06-08T14:11:32Z
2020-06-10T12:11:07Z
2020-06-10T12:11:07Z
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