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Charrier H, Cuvelliez M, Dubois-Deruy E, et al. Integrative System Biology Analyses Identify Seven MicroRNAs to Predict Heart Failure. Noncoding RNA. 2019;5(1)doi: 10.3390/ncrna5010022.
Charrier, H., Cuvelliez, M., Dubois-Deruy, E., Mulder, P., Richard, V., Bauters, C., & Pinet, F. (2019). Integrative System Biology Analyses Identify Seven MicroRNAs to Predict Heart Failure. Non-coding RNA, 5(1), . https://doi.org/10.3390/ncrna5010022
Charrier, Henri, et al. "Integrative System Biology Analyses Identify Seven MicroRNAs to Predict Heart Failure." Non-coding RNA vol. 5,1 (2019). doi: https://doi.org/10.3390/ncrna5010022
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. Noncoding RNA. 2019 Mar 07;5(1). doi: 10.3390/ncrna5010022. PMID: 30866581; PMCID: PMC6468490.
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Noncoding RNA. 2019 Mar 07;5(1). doi: 10.3390/ncrna5010022.

Integrative System Biology Analyses Identify Seven MicroRNAs to Predict Heart Failure.

Non-coding RNA

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

Affiliations

  1. Inserm, Institut Pasteur de Lille, Université de Lille, FHU-REMOD-VHF, U1167-RID-AGE, F-59000 Lille, France. [email protected].
  2. Inserm, Institut Pasteur de Lille, Université de Lille, FHU-REMOD-VHF, U1167-RID-AGE, F-59000 Lille, France. [email protected].
  3. Inserm, Institut Pasteur de Lille, Université de Lille, FHU-REMOD-VHF, U1167-RID-AGE, F-59000 Lille, France. [email protected].
  4. Normandie University, UNIROUEN, Inserm U1096, FHU-REMOD-VHF, 7F-6000 Rouen, France. [email protected].
  5. Normandie University, UNIROUEN, Inserm U1096, FHU-REMOD-VHF, 7F-6000 Rouen, France. [email protected].
  6. 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. [email protected].
  7. Inserm, Institut Pasteur de Lille, Université de Lille, FHU-REMOD-VHF, U1167-RID-AGE, F-59000 Lille, France. [email protected].

PMID: 30866581 PMCID: PMC6468490 DOI: 10.3390/ncrna5010022

Abstract

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.

Keywords: biomarkers; heart failure; miRNAs; system biology

References

  1. Circulation. 2000 Jun 27;101(25):2981-8 - PubMed
  2. Am J Cardiol. 2006 Nov 1;98(9):1144-9 - PubMed
  3. J Proteome Res. 2008 Nov;7(11):5004-16 - PubMed
  4. Bioinformatics. 2009 Apr 15;25(8):1091-3 - PubMed
  5. Nat Cell Biol. 2009 Mar;11(3):228-34 - PubMed
  6. Eur Heart J. 2011 Jan;32(1):115-23 - PubMed
  7. Am J Cardiol. 2010 Nov 15;106(10):1410-6 - PubMed
  8. Circ Cardiovasc Genet. 2012 Jun;5(3):360-7 - PubMed
  9. Int J Mol Med. 2012 Nov;30(5):1095-104 - PubMed
  10. Bioinformatics. 2013 Mar 1;29(5):661-3 - PubMed
  11. Clin Chim Acta. 2013 Sep 23;424:66-72 - PubMed
  12. Nat Rev Genet. 2013 Oct;14(10):719-32 - PubMed
  13. J Clin Invest. 2014 May;124(5):2136-46 - PubMed
  14. In Silico Biol. 2015;12(1-2):1-7 - PubMed
  15. PLoS One. 2015 Mar 12;10(3):e0119646 - PubMed
  16. Cancer Med. 2015 Jul;4(7):977-88 - PubMed
  17. Oxid Med Cell Longev. 2015;2015:792846 - PubMed
  18. J Transl Med. 2015 Sep 24;13:314 - PubMed
  19. Eur J Heart Fail. 2016 Aug;18(8):1000-8 - PubMed
  20. PLoS One. 2016 Aug 09;11(8):e0160920 - PubMed
  21. J Clin Endocrinol Metab. 2016 Nov;101(11):4125-4134 - PubMed
  22. Circ J. 2016 Sep 23;80(10):2183-91 - PubMed
  23. Eur Heart J. 2017 Feb 14;38(7):511-515 - PubMed
  24. Chin Med J (Engl). 2017 5th Jan 2017;130(1):51-56 - PubMed
  25. Circulation. 2017 Mar 7;135(10):e146-e603 - PubMed
  26. Biochim Biophys Acta Mol Basis Dis. 2017 Jun;1863(6):1445-1453 - PubMed
  27. Nat Rev Cardiol. 2017 Aug;14(8):484-491 - PubMed
  28. PLoS One. 2017 May 5;12(5):e0177242 - PubMed
  29. Mol Cells. 2017 Aug;40(8):542-549 - PubMed
  30. Eur J Heart Fail. 2018 Jan;20(1):89-96 - PubMed
  31. Sci Rep. 2017 Nov 7;7(1):14747 - PubMed
  32. Brief Bioinform. 2017 Nov 27;:null - PubMed
  33. Hypertension. 2018 Feb;71(2):280-288 - PubMed
  34. Sci Rep. 2018 Jan 15;8(1):724 - PubMed
  35. Kaohsiung J Med Sci. 2018 Nov;34(11):626-633 - PubMed
  36. Circulation. 1997 Mar 4;95(5):1314-9 - PubMed

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