Dear Editor,
MicroRNAs share many of the essential features of a good circulating biomarker1, but despite promising data on their role in risk prediction for major adverse coronary events (MACEs)2,3, more investigation is needed for translation to the clinic. Thus, we have sought to identify circulating microRNA signatures able to predict MACEs, defined as myocardial infarction (MI), angina, or sudden cardiac death (Supplementary Fig. I).
To this end, we obtained plasma from the first 100 MACE-presenting individuals who had been enrolled in the 60 year olds from Stockholm study (60YO)4, as well as from 100 MACE-free referents during an 11-year follow-up period (Supplementary Table I), and used the samples for a PCR-based method to screen 754 microRNAs (Supplementary Material). Of the 55 microRNAs with the greatest difference in expression in cases vs. referents (Supplementary Fig. II), microRNA-145-3p was found associated with the largest estimated risk increase (odds ratio [OR]: 2.18; 95% confidence interval [CI]: 1.27–3.75), while microRNA-720 was associated with reduced MACE risk (OR: 0.47; 95% CI: 0.24–0.92), after adjustment for common cardiovascular risk factors (Supplementary Table II). No correlation was observed for any of the 55 microRNAs with C-reactive protein or lipid levels (triglycerides, low-density lipoprotein-cholesterol, high-density lipoprotein-cholesterol). Then, because microRNAs can be pleiotropic and redundant, we performed an interaction analysis, identifying 16 microRNA pairs—constituting 16 microRNA signatures—in which microRNA-320b happened to be always present. The MACE risk associated with the interacting microRNA in the pair co-varied with the level of microRNA-320b: indeed, the risk associated with each microRNA was greatest at the highest microRNA-320b expression level (Fig. 1a).
MicroRNA-320b and its 16 interacting microRNAs had a total of 492 putative targets: 248 were predicted for microRNA-320b as well as at least one other interacting microRNA, and were groupable into four clusters (Supplementary Fig. III). Gene ontology revealed that three clusters (1, 2, and 4) were statistically linked with cardiovascular system development and function, as well as with the regulation of inflammation, thrombosis, and lipid metabolism (Fig. 1b; Supplementary Table III).
We then validated findings on a cohort from the Nord-Trøndelag Health study5 (Supplementary Material). Analysis of single microRNAs revealed a pattern of association with the risk of MI similar to that associated with MACE in the 60YO cohort, with the exception of microRNA-320b, microRNA-324-3p, and microRNA-32-5p (Supplementary Table IV). Coherently with discovery findings, increasing expression levels of microRNA-320b associated with progressive increase of the MI risk estimates for microRNAs from clusters 2 and 4. In particular, the trend was similar to that observed in the 60YO cohort for five microRNAs of cluster 2 (microRNA-191-5p, microRNA-324-3p, microRNA-196b-5p, let-7d, and let-7g) and for two microRNAs of cluster 4 (microRNA-301b and microRNA-340) (Supplementary Table V).
Thus, we have identified microRNA signatures predicting the risk of early MACE in middle-aged men and women free from cardiovascular diseases (Supplementary Discussion). Of note, interaction analysis revealed a complex functional network that was not evident when the microRNAs were analyzed independently, with microRNA-320b—found downregulated by others in platelets of patients with MI6 or carotid atherosclerotic plaques7—acting as a major modulator of MACE risk.
Supplementary information
Acknowledgements
This work was supported by the Italian Ministry of Health (# PE-2013-02356818) and National Research Council of Italy to G.C., and the Swedish Research Council and Heart & Lung Foundation to U.d.F.
Conflict of interest
The authors declare that they have no conflict of interest.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Contributor Information
Bruna Gigante, Email: bruna.gigante@ki.se.
Gianluigi Condorelli, Email: gianluigi.condorelli@hunimed.eu.
Supplementary information
Supplementary Information accompanies this paper at (10.1038/s41419-020-2291-9).
References
- 1.Backes C, Meese E, Keller A. Specific miRNA disease biomarkers in blood, serum and plasma: challenges and prospects. Mol. Diagn. Ther. 2016;20:509–518. doi: 10.1007/s40291-016-0221-4. [DOI] [PubMed] [Google Scholar]
- 2.Barwari T, Joshi A, Mayr M. MicroRNAs in cardiovascular disease. J. Am. Coll. Cardiol. 2016;68:2577–2584. doi: 10.1016/j.jacc.2016.09.945. [DOI] [PubMed] [Google Scholar]
- 3.Condorelli G, Latronico MV, Cavarretta E. microRNAs in cardiovascular diseases: current knowledge and the road ahead. J. Am. Coll. Cardiol. 2014;63:2177–2187. doi: 10.1016/j.jacc.2014.01.050. [DOI] [PubMed] [Google Scholar]
- 4.Gigante B, et al. Elevated ApoB serum levels strongly predict early cardiovascular events. Heart. 2012;98:1242–1245. doi: 10.1136/heartjnl-2012-301852. [DOI] [PubMed] [Google Scholar]
- 5.Krokstad S, et al. Cohort Profile: the HUNT Study, Norway. Int. J. Epidemiol. 2013;42:968–977. doi: 10.1093/ije/dys095. [DOI] [PubMed] [Google Scholar]
- 6.Gidlof O, et al. Platelets activated during myocardial infarction release functional miRNA, which can be taken up by endothelial cells and regulate ICAM1 expression. Blood. 2013;121:3908–3917. doi: 10.1182/blood-2012-10-461798. [DOI] [PubMed] [Google Scholar]
- 7.Zhang R, Qin Y, Zhu G, Li Y, Xue J. Low serum miR-320b expression as a novel indicator of carotid atherosclerosis. J. Clin. Neurosci. 2016;33:252–258. doi: 10.1016/j.jocn.2016.03.034. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.