Integrative system biology analyses identify sevenmicroRNAs to predict heart failure

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Charrier, Henri | Cuvelliez, Marie | Dubois-Deruy, Emilie | Mulder, Paul | Richard, Vincent | Bauters, Christophe | Pinet, Florence

Edité par CCSD ; MDPI -

International audience. Heart failure (HF) has several etiologies including myocardial infarction (MI) and left 24 ventricular remodeling (LVR), but its progression remains difficult to predict in clinical practice. 25 Systems biology analyses of LVR after MI predict molecular insights of this event such as 26 modulation of microRNA (miRNA) that could be used as a signature of HF progression. To define 27 a miRNA signature of LVR after MI, we use 2 systems biology approaches integrating either 28 proteomic data generated from LV of post-MI rat induced by left coronary artery ligation or 29 multi-omics data (proteins and non-coding RNAs) generated from plasma of post-MI patients from 30 the REVE-2 study. The first approach predicts 13 miRNAs and 3 of these miRNAs were validated 31 to be associated with LVR in vivo: miR-21-5p, miR-23a-3p and miR-222-3p. The second approach 32 predicts 24 miRNAs among 1310 molecules and 6 of these miRNAs were selected to be associated 33 with LVR in silico: miR-17-5p, miR-21-5p, miR-26b-5p, miR-222-3p, miR-335-5p and miR-375. We 34 identified a signature of 7 microRNAs associated with LVR after MI that support the interest of 35 integrative systems biology analyses to define a miRNA signature of HF progression. 36

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