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Open AccessArticle

Integrative System Biology Analyses Identify Seven MicroRNAs to Predict Heart Failure

1
Inserm, Institut Pasteur de Lille, Université de Lille, FHU-REMOD-VHF, U1167-RID-AGE, F-59000 Lille, France
2
Normandie University, UNIROUEN, Inserm U1096, FHU-REMOD-VHF, 7F-6000 Rouen, France
3
Inserm, Institut Pasteur de Lille, Faculté de Médecine de Lille, Université de Lille, CHU Lille, FHU REMOD-VHF, U1167-RID-AGE, F-59000 Lille, France
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Non-Coding RNA 2019, 5(1), 22; https://doi.org/10.3390/ncrna5010022
Received: 1 February 2019 / Revised: 28 February 2019 / Accepted: 5 March 2019 / Published: 7 March 2019
(This article belongs to the Collection Regulatory RNAs in Cardiovascular Development and Disease)
Heart failure (HF) has several etiologies including myocardial infarction (MI) and left ventricular remodeling (LVR), but its progression remains difficult to predict in clinical practice. Systems biology analyses of LVR after MI provide molecular insights into this event such as modulation of microRNA (miRNA) that could be used as a signature of HF progression. To define a miRNA signature of LVR after MI, we use 2 systems biology approaches, integrating either proteomic data generated from LV of post-MI rat induced by left coronary artery ligation or multi-omics data (proteins and non-coding RNAs) generated from plasma of post-MI patients from the REVE-2 study. The first approach predicted that 13 miRNAs and 3 of these miRNAs would be validated to be associated with LVR in vivo: miR-21-5p, miR-23a-3p and miR-222-3p. The second approach predicted that 24 miRNAs among 1310 molecules and 6 of these miRNAs would be selected to be associated with LVR in silico: miR-17-5p, miR-21-5p, miR-26b-5p, miR-222-3p, miR-335-5p and miR-375. We identified a signature of 7 microRNAs associated with LVR after MI that support the interest of integrative systems biology analyses to define a miRNA signature of HF progression. View Full-Text
Keywords: biomarkers; miRNAs; heart failure; system biology biomarkers; miRNAs; heart failure; system biology
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Charrier, H.; Cuvelliez, M.; Dubois-Deruy, E.; Mulder, P.; Richard, V.; Bauters, C.; Pinet, F. Integrative System Biology Analyses Identify Seven MicroRNAs to Predict Heart Failure. Non-Coding RNA 2019, 5, 22.

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