Although several risk factors such as infarct size have been identified, the progression of heart failure (HF) remains difficult to predict in clinical practice. Using an experimental rat model of post-myocardial infarction (MI), we previously identified 45 proteins differentially modulated during HF by proteomic analysis. This study sought to identify microRNAs (miRNAs) able to regulate these proteins and to test their relevance as biomarkers for HF. In silico bioinformatical analysis selected 13 miRNAs related to the 45 proteins previously identified. These miRNAs were analyzed in the rat and in cohorts of patients phenotyped for left ventricular remodeling (LVR). We identified that 3 miRNAs, miR-21-5p, miR-23a-3p and miR-222-3p, and their target Mn superoxide dismutase (SOD2) were significantly increased in LV and plasma of HF-rats. We found by luciferase activity a direct interaction of miR-222-3p with 3′UTR of SOD2. Transfection of human cardiomyocytes with miR-222-3p mimic or inhibitor induced respectively a decrease and an increase of SOD2 expression. Circulating levels of the 3 miRNAs and their target SOD2 were associated with high LVR post-MI in REVE-2 patients. We demonstrated for the first time the potential of microRNAs regulating SOD2 as new circulating biomarkers of HF.
Chronic heart failure (HF) remains a major cause of illness and death and its prevalence is increasing with a high rate of morbidity and mortality1. Despite major significant advances, HF remains a therapeutic challenge, and several adverse consequences of HF are still poorly controlled. New prognostic or diagnostic biomarkers of HF are still important to find and proteomic approaches associated with bioinformatic tools may be useful2.
Novel determinants of post-myocardial infarction (MI)-HF were already revealed by previous proteomic3 and phosphoproteomic4 approaches using an experimental rat model of HF. We especially discovered that HF is associated with decreased levels of serine208-phosphorylated troponin T (TnTpS208) in left ventricle (LV) and plasma of HF-rats. The same decrease was found in patients with high left ventricular remodeling (LVR) after MI, suggesting that the level of circulating TnTpS208 could be a new biomarker of LVR and may help to predict the development of HF after MI5.
MicroRNAs (miRNAs) are non-coding RNAs identified as regulatory molecules consisting of 19 to 23 nucleotides that regulate gene expression by hybridization to messenger RNAs with the consequence of its degradation or translational inhibition of targeted transcripts6. miRNAs are highly conserved and play a role in many biological processes such as cell-cell communication7 or signalling pathways8. miRNAs, some with a tissue- and pathology-specific expression, could be involved in several cardiovascular pathologies such as cardiac hypertrophy9,10, adverse cardiac remodeling11,12 or HF11,13. miRNAs can be secreted in either protein-bound or vesicle-enclosed forms from the cells into the circulation, suggesting their potential as biomarkers in molecular diagnostics13. These previous studies suggest that levels of circulating miRNAs may depend on several aspects not directly related to disease states, such as miRNA tissue specificity, mechanisms of release and retention, mechanisms of transport onto the bloodstream and pathways of degradation.
Up to now, we failed to identify miRNAs, such as miR-133a and miR-423-5p, as circulating prognostic biomarkers of cardiac remodelling post-MI14. Our strategy was to use bioinformatics tools such as Ingenuity Pathway Analysis (IPA) to integrate our proteomic data obtained in the experimental rat model of HF in order to decipher miRNAs interacting directly or indirectly with the 45 proteins found to be differentially modulated. Interestingly, we evidenced 17 proteins involved in oxidative stress and metabolism3. Among them, we focused on superoxide dismutase [Mn], mitochondrial (SOD2), a major antioxidant enzyme, notably described for protecting the morphology of the diabetic heart and completely normalizing contractility in diabetic cardiomyocytes15.
The purpose of this work was i) to select by bioinformatics miRNAs interacting with proteins identified by proteomic analysis to be modulated by HF in the rat model, ii) to validate the LV expression and modulation of these selected miRNAs, iii) to determine whether circulating plasma levels of miRNAs match with heart specificity in order to improve our understanding of relationship between LV tissue levels and plasma levels; iv) to characterize how they affect SOD2 expression in cardiomyocytes and, v) to confirm their potential as biomarkers of cardiac remodeling by quantification of circulating plasma levels of the miRNAs and SOD2 in human patients phenotyped for LV remodeling.
Identification of candidate miRNAs for heart failure
A total of 63 rats were included in the analysis; 15 were sacrificed 7 days after surgery (8 sham and 7MI) and 48 were sacrificed 2 months after surgery (25 sham and 23 MI). Detailed echocardiographic, hemodynamic and morphometric parameters of sham- and MI-rats are provided (Supplementary Table 1). Briefly, 7 days after MI, a significant increase in heart weight was already observed. After 2 months, MI induced classic signs of HF, i.e. significant increases in LV diameters and LV end-diastolic pressure, as well as marked decreases in LV fractional shortening, LV dP/dt and cardiac output, associated with significant cardiac hypertrophy.
We previously identified by proteomic analysis and mass spectrometry 26 proteins differentially expressed3 (Fig. 1A) and 30 proteins differentially phosphorylated4 in LV of 2 months HF-rats. These proteins were overlaid onto a global molecular network in the IPA Knowledge Base in order to select miRNAs interacting with the proteins identified by proteomic analysis (Supplementary Table 2). IPA analysis identified interactions between 8 proteins and 13 miRNAs (Supplementary Table 2). We found a significant increase in SOD2 protein in LV (Fig. 1B) but no modulation of SOD2 mRNA (Fig. 1C). Interestingly, SOD2 is regulated by 5 of 13 miRNAs selected by IPA, i.e. mir-21-3p, miR-21-5p, miR-23a-3p, miR-145-5p and miR-222-3p (Supplementary Fig. 1A).
We quantified expression of the 13 miRNAs in LV of 7 days and 2 months MI-rats. Unfortunately, we could not deepen the cluster between peroxiredoxin-2, protein disulfide isomerase and the miR-122-5p and miR-210 due to a lack of specificity of different primers tested (not shown). Among the 11 miRNAs quantified, 4 were not modulated after 7 days or 2 months MI: miR-29b-3p, miR-338-3p, miR-133a and miR-483-3p interacting respectively with tropomyosin alpha-1 chain, pyruvate kinase PKM and phosphoglycerate mutase 1 (Supplementary Fig. 1B–E). Moreover, we observed a significant increase in miR-320a and in miR-377-5p in LV of HF-rats respectively in 7 days and 2 months MI-rats (Supplementary Fig. 1F–G).
Post-transcriptional regulators of SOD2 expression
First, we quantified the 5 miRNAs identified to be associated to SOD2 by IPA analysis. Expression of miR-145-5p was significantly increased in 2 months-rats compared to 7 days-rats (Supplementary Fig. 1A). We observed a significantly increased expression of the 4 other miRNAs in LV, at 7 days post-MI for miR-23a-3p (Fig. 1D), at 2 months post-MI for miR-21-5p (Fig. 1D) and miR-21-3p (Supplementary Fig. 1A) and at both times for miR-222-3p (Fig. 1D).
We next quantified these 4 miRNAs in plasma of the same animals. We were unable to quantify detectable levels of miR-21-3p. Interestingly, miR-21-5p, miR-23a-3p and miR-222-3p were significantly decreased in the plasma of 7 days MI-rats and significantly increased at 2 months post-MI (Fig. 1E) without any modulation of SOD2 in plasma of HF-rats (not shown).
Role of SOD2 and its post-transcriptional regulators in cardiac hypertrophy
We investigated the role of SOD2 during cardiac hypertrophy in H9c2 cells (Fig. 2A–C). First, we validated that Isoproterenol (Iso) (10 µM) induces hypertrophy verified by the significant increased cell area at both 24 h and 48 h (Fig. 2A). Interestingly, we observed a significant increase in SOD2 protein expression only after 48 h Iso (Fig. 2B), despite no modulation of SOD2 mRNA or of the 3 miRNAs (data not shown). With MitoSOX probe, we observed a significant increase in mitochondrial superoxide anion levels quantified after 24 h of hypertrophy as expected. On the contrary, after 48 h Iso, superoxide anion production was significantly decreased (Fig. 2C), validating an activation of SOD2 at this time.
We then analyzed the role of SOD2 on hypertrophy and oxidative stress by silencing it in H9c2 cells (Fig. 2D–F). First, we validated that SOD2 siRNA transfected in H9c2 cells induced a significant decrease in SOD2 protein expression (Fig. 2D). Interestingly, we observed that SOD2 silencing induced significantly hypertrophy and oxidative stress quantified respectively, by the cell area (Fig. 2E) and the mitochondrial superoxide anion levels (Fig. 2F).
miR-222-3p is a post-transcriptional regulator of SOD2
Among the 3 miRNAs identified to interact with SOD2 in our experimental rat model of HF, only miR-222-3p was predicted to directly interact with SOD2 in human (Fig. 2G). To confirm this interaction, we cloned human SOD2 3′UTR (untranslated region) harboring two potential binding sites for miR-222-3p in HEK293 cells. Cotransfection of miR-222-3p mimic with human SOD2 3′UTR induced a significant decrease in luciferase expression, suggesting that miR-222-3p binds to SOD2 3′UTR (Fig. 2G).
We then used miR-222-3p mimic and inhibitor to analyze the impact of miR-222-3p on SOD2 expression in human Cytivia plus cardiomyocytes. We first validated the efficiency of transfection of miR-222-3p mimic and inhibitor (not shown). We observed that miR-222-3p mimic induced a significant decrease in SOD2 protein expression (Fig. 2H, top panel) counteracted by Iso treatment (Fig. 2H, lower panel). Conversely, miR-222-3p inhibitor induced a significant increase in SOD2 protein expression (Fig. 2I, left panel) not affected by Iso treatment (Fig. 2I, right panel).
Circulating miRNAs interacting with SOD2 as prognostic biomarkers of HF
Our studies based on in vivo rat experimental model and in vitro cardiomyocyte models prompted us to assess levels of circulating SOD2 and interacting miRNAS (miR-21-5p, miR-23a-3p and miR-222-3p) in patients with high LV remodeling following MI.
For that purpose, we used blood samples obtained in REVE-2 (“REmodelage VEntriculaire”−2) study16. REVE-2 was a multicenter study that enrolled 246 patients with a first anterior wall Q-wave MI followed for one year with serial echographic studies and blood sampling at hospital discharge (baseline) then 3 months and 1 year after MI. REVE-2 patients were divided as no remodeling (LVR < 20%) and high remodeling (LVR > 20%) patients according to the LV remodeling determined as ((EDV1year – EDVbaseline)/EDVbaseline). Baseline characteristics of REVE-2 patients are described in Table 1.
SOD2 was quantified in the plasma of REVE-2 patients at 3 months and 1 year post-MI (Fig. 3). We found a significant increase in patients with high remodeling only at 1 year post-MI (Fig. 3A, left panel). We then quantified the 3 miRNAs predicted by IPA to interact with SOD2 (Supplementary Table 2). Interestingly, the REVE-2 molecular network previously built with 23 circulating molecules quantified in blood samples of REVE-2 patients, shows that these 3 miRNAs were highly central molecules with the highest betweeness centrality for miR-21-5p and miR-222-3p17, indicating that they are crucial molecules to maintain functionality and coherence of signaling mechanisms in the REVE-2 network. We also identified direct interaction between miR-222-3p, SOD2 and other molecules in the REVE-2 network at baseline (Fig. 3B, details are provided Supplementary Fig. 2 and Supplementary Table 3). The 3 miRNAs were then quantified at baseline (i.e. hospital discharge), 3 months and 1 year post-MI in REVE-2 patients. We found a significant decrease in plasma levels of miR-222-3p (Fig. 3C, left panel), miR-21-5p and miR-23a-3p Fig. 3) at baseline (i.e. hospital discharge) in patients with high remodeling compared to low remodeling following MI. Conversely, we observed a significant increase of the 3 miRNAs in patients with high remodeling at 3 months post-MI and no modulation at 1 year post-MI (Fig. 3C, left panel and Supplementary Fig. 3).
To understand why the levels of the 3 miRNAS and their target, SOD2 are modulated in the same way, we analyzed deeper the REVE-2 molecular network and found an interaction of miR-222-3p with the estrogen receptor 1, located in cluster 22 and characterized by a high betweeness (0.0096), indicating a potential central role of estrogen receptor with miR-222-3p in the REVE-2 network (Supplementary Table 3). Interestingly, the analysis taking into account the gender in REVE-2 population showed significant higher levels of SOD2 in men compared to women (Fig. 3A, right panel). Interestingly, the significant modulation of circulating levels of SOD2 is restricted to women with high remodeling at 3 months and 1 year (Fig. 3A, right panel). Conversely, the significant increase of circulating levels of miR-222-3p is only found in men at 3 months post-MI (Fig. 3C, right panel). The same information was found for the circulating levels of miR-21-5p (Supplementary Fig. 3A, right panel). Moreover, we observed a significant correlation between circulating levels of SOD2 and of miR-222-3p quantified at 3 months post-MI in the whole REVE-2 population and men population but not in women population (Fig. 3D). The same information was found for the circulating levels of miR-21-5p (Fig. 3A, bottom panel) and miR-23a-3p (Supplementary Fig. 3B, bottom panel).
We used a well-characterized model of HF-rat, together with echocardiographic and hemodynamic measurements to identify 45 proteins differentially modulated by HF (e.g. expression and/or phosphorylation levels)3,4. Using IPA tools, we selected miRNAs interacting directly or indirectly with these 45 proteins. Indeed, miRNAs are small non-coding RNAs that control various biological processes through affecting the stability and translation of targets mRNAs. IPA analysis identified interactions between 8 proteins and 13 miRNAs. Interestingly, SOD2 is regulated by 5 of the 13 miRNAs.
SOD2 is a well-known antioxidant enzyme, which binds to the superoxide anions to convert them to hydrogen peroxide and oxygen. An increase in SOD2 expression could be beneficial by decreasing reactive oxygen species production as it was described in other diseases such as diabetes. In this pathology, SOD2 protects the morphology of the heart and completely normalizes contractility in cardiomyocytes15. Using an in vitro model of hypertrophied cardiomyocytes, we found an increase of SOD2 expression associated with decrease of superoxide anion production. Conversely, silencing SOD2 in this model induced hypertrophy and increased superoxide anion production. Despite a high increase in oxidative stress after MI, the role of SOD2 and its post-transcriptional regulators in LVR and HF are still unknown. Here, we focused on 3 miRNAs, miR-21-5p, miR-23a-3p and miR-222-3p and their target SOD2, detected in plasma that we characterized for their potential as biomarkers of HF.
Little is known about the role of miR-23a in cardiovascular diseases, with the exception of a correlation between miR-23a and pulmonary function of patients with idiopathic pulmonary hypertension18. In our study, miR-23a-3p increased in LV of HF-rats only at 7 days post MI. miR-21 is highly expressed in most of the cardiovascular cells, especially cardiomyocytes and cardiac fibroblasts7. In this study, we observed an increase in miR-21-5p in HF-rats, in accordance with previous reports showing an upregulation of miR-21 in HF with preserved LV ejection fraction19 or in fibroblasts of hypertrophied hearts20. In most of these studies, miR-21 is associated with an anti-apoptotic effect19,21.
MiR-222 has been described to induce cardiomyocytes proliferation and hypertrophy and inhibit apoptosis22. Here, we quantified an increase in miR-222-3p expression in HF-rats, in accordance with a previous study showing an increase in miR-222 during physiological hypertrophy at cell and plasma levels22. Our in silico analysis suggested that only miR-222-3p directly interacts with the 3′-UTR of SOD2. This interaction was already described in oral tongue squamous cell carcinoma cell line23. We confirmed this interaction using luciferase reporter gene assays and transfection of miR-222-3p mimic and inhibitor in human cardiomyocytes.
Despite tissue- and pathology-specificity of miRNAs expression, we failed to identify miRNAs, such as miR-133a and miR-423-5p, as circulating prognostic biomarkers of cardiac remodelling post-MI14. Another class of non-coding RNAs, long noncoding RNAs (lncRNAs) has been tested successfully in REVE-2 study. We recently described a downregulation of a mitochondrial lncRNA uc022bqs.1, called LIPCAR, early after MI and an upregulation during later stages24. LIPCAR is a novel biomarker of cardiac remodeling and predict future death in patients with HF24, suggesting potential interest of non-coding RNAs as biomarkers in molecular diagnostics. SOD2 mRNA was recently reported for predicting worse prognosis of patients with untreated classical Hodgkin lymphoma25.
Interestingly, by analysing separately women and men in REVE-2 population, we observed that the increase in circulating levels of miRNAs was only significant in men whereas the circulating levels of SOD2 were only increased significantly in women. Our results were supported by previous data showing that estradiol (E2) treatment significantly increases the expression of SOD2 both in mice and in human aorta endothelial cells leading to a decrease in oxidative stress26. This could explain why we did not observe any plasmatic modulation of SOD2 in the rat MI model as only male were used.
In this study, we showed for the first time, that levels of circulating miR-21-5p, miR-23a-3p and miR-222-3p decrease in patients with high remodeling at baseline and increase at 3 months post-MI. Our data shows the potential of miR-21-5p, miR23a-3p and miR-222-3p, and their target SOD2, as new biomarkers of post-MI HF.
Conclusion and perspectives
In this study, we found i) the modulation of 3 miRNAs selected in silico to interact with SOD2 in LV and plasma of the experimental rat model of HF and a significant increase of SOD2 in LV of 2 months post-MI rats; ii) that the circulating levels of the 3 miRNAs were differentially modulated compared to LV at 7 days post-MI, suggesting that plasma expression does not completely reflect the heart specificity at early phase of LV remodeling; iii) how miR-222-3p modulated SOD2 in hypertrophied cardiomyocytes and iv) confirmed their potential as biomarkers of cardiac remodeling in human patients phenotyped for LV remodeling post-MI with gender specificity shown by significant modulation of miR-222-3p in men and of SOD2 in women (Fig. 4). Future works need to deepen the role of SOD2 regulation, notably by the estrogen receptors, and the mechanisms of transport of miRNAs from heart onto bloodstream in the pathophysiology of LVR and HF.
A detailed methods section is available as supplemental. All methods were carried out in accordance with relevant guidelines and regulations and all experimental and ethic protocols were approved by Inserm.
Animals were used and experimental protocols performed under the supervision of a person authorized to perform experiments on live animals (F. Pinet: 59-350126 and E. Dubois-Deruy: 59-350253). Approval was granted by the institutional ethics review board (CEEA Nord Pas-de-Calais N°242011, January 2012). MI was induced in 10-week-old male Wistar rats (n = 63) (Janvier, Le Genest St isle, France) by ligation of the left anterior descending coronary artery27,28. Haemodynamic and echocardiographic measurements (Supplementary Table 1) were taken 7 days and 2 months after surgery, followed by heart excision and plasma sampling, as previously described4,29.
Differentially regulated proteins previously identified by mass spectrometry3,4 were further analyzed using Ingenuity Pathway Analysis (IPA, www.ingenuity;com, Winter Release 2012, Ingenuity Systems, Mountain View, CA) (Supplementary Table 2). Networks of these focus proteins were algorithmically generated by including as many focus proteins as possible and other non-focus proteins from the database that are needed to generate the network based on connectivity. Here, we focused our analysis on miRNAs with high predicted and experimentally observed selection by IPA.
REVE-2 was a multicenter study that enrolled 246 patients with anterior wall Q-wave MI from 8 centers in France from February 2006 to September 200816. The research protocol was approved by the ethics committee of the “Centre Hospitalier et Universitaire de Lille” (CP05/91 of December 13th 2005, Lille, France), and written informed consent was obtained from each patient. The protocol required serial echographic studies at hospital discharge (day 3 to day 7) then 3 months and 1 year after MI; serial blood sampling was performed at hospital discharge then 1 month, 3 months, and 1 year after MI. Baseline characteristics of REVE-2 population are summarized in Table 1. REVE-2 patients were divided as no remodeling (LVR < 20%) and high remodeling (LVR > 20%) according to the LV remodeling determined as ((EDV1year − EDVbaseline)/EDVbaseline).
The rat embryonic-heart derived H9c2 cell line (ATCC, CRL-1446) were used followed manufacturer’s instructions. The human embryonic-heart derived Cytivia Plus Cardiomyocytes (GE Healthcare, 29-0918-80) were used following manufacturer’s instructions. Cells were then treated with Isoproterenol (Iso, 10 µM) in serum-free medium for 24 h and 48 h.
Luciferase Reporter Assay
Human SOD2 3′UTR (824 bp) harboring two potential binding sites for miR-222-3p was cloned into SpeI and HindIII cloning site of pMIR-REPORT vector (Ambion). The resulting construct (20 ng) was co-transfected with control mirVana mimic or mirVana mimic miR-222-3p (each 30 nM, ThermoFisher Scientific) and 20 ng of β-galactosidase control plasmid (Promega) into 48well-plated HEK293 reporter cells by the use of Lipofectamine 2000 (Invitrogen). Cells were incubated for 24 h before detecting luciferase and β-galactosidase activity applying different substrates (Promega).
The specific siRNA specifically targeting rat SOD2 mRNA (SOD2 siRNA) and non-targeting control (NT siRNA) were used (ON-TARGETplus Rat Sod2 (24787) siRNA - SMARTpool, #L-080048-02-0010, Dharmacon, GE Healthcare). H9c2 were plated (300,000 cells/well) in 6-well plates and were allowed to grow for 24 h without antibiotics. SOD2 or NT siRNA (25 nmol/L) were transfected with the DharmaFECT® reagent (4 µL) according to the manufacturer’s recommendations. Total cell extracts were collected 72 h after transfection.
The specific miR-222 mimic and miR-222 inhibitor and negative control were used (miRVAna, Life Technologies). Cytivia Plus cardiomyocytes were plated (200,000 cells/well) in 6-well plates and were allowed to grow for 1 week in RPMI supplemented with 2% (v/v) B27. MiR-222 mimic, miR-222 inhibitor and their negative control (100 nmol/L) were transfected with the Lipofectamine 2000 (Life Technologies) reagent (4 µL) in OptiMEM (Life Technologies). Medium was changed for RPMI supplemented with 2% (v/v) B27 6 h after transfection. Cells were treated with Iso 10 µM 24 h after transfection. Total cell extracts were collected 72 h after transfection.
For cell culture and animal model, data are expressed as means ± SEM and analysed with GraphPad software. Data were compared using non parametric Mann–Whitney test for 2 groups’ comparison and using Kruskal-Wallis with Dunn’s multiple comparison test for multiple groups’ comparison. Statistical significance was accepted at a p value < 0.05.
For Human studies, the levels of miRs and SOD2 were log-transformed and compared between high remodelers (>20% change in LVEDV between baseline and 1 year) and non-remodelers (<20% change in LVEDV between baseline and 1 year). We used a logistic regression adjusted for age, sex, and baseline LVEDV. All statistical analyses were performed using the STATA 14.1 software (STATA Corporation, College Station, Texas, USA). For analyzing correlation between the circulating levels of SOD2 and miRNAs, we used the Pearson correlation coefficient test. Statistical significance was assumed at a p value < 0.05.
Benjamin, E. J. et al. Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association. Circulation 135, e146–e603 (2017).
Lindsey, M. L. et al. Transformative Impact of Proteomics on Cardiovascular Health and Disease: A Scientific Statement From the American Heart Association. Circulation 132, 852–872 (2015).
Cieniewski-Bernard, C. et al. Proteomic Analysis of Left Ventricular Remodeling in an Experimental Model of Heart Failure. J. Proteome Res. 7, 5004–5016 (2008).
Dubois, E. et al. Decreased Serine207 phosphorylation of troponin T as a biomarker for left ventricular remodelling after myocardial infarction. Eur. Heart J. 32, 115–123 (2011).
Dubois-Deruy, E. et al. Interplay between troponin T phosphorylation and O-N-acetylglucosaminylation in ischaemic heart failure. Cardiovasc. Res. 107, 56–65 (2015).
Ambros, V. microRNAs: Tiny Regulators with Great Potential. Cell 107, 823–826 (2001).
Bang, C. et al. Cardiac fibroblast-derived microRNA passenger strand-enriched exosomes mediate cardiomyocyte hypertrophy. J. Clin. Invest. 124, 2136–2146 (2014).
Van Rooij, E. et al. Control of stress-dependent cardiac growth and gene expression by a microRNA. Science 316, 575–579 (2007).
Sayed, D., Hong, C., Chen, I.-Y., Lypowy, J. & Abdellatif, M. MicroRNAs play an essential role in the development of cardiac hypertrophy. Circ. Res. 100, 416–424 (2007).
Hirt, M. N. et al. Deciphering the microRNA signature of pathological cardiac hypertrophy by engineered heart tissue- and sequencing-technology. J. Mol. Cell. Cardiol. 81, 1–9 (2015).
Van Rooij, E. et al. A signature pattern of stress-responsive microRNAs that can evoke cardiac hypertrophy and heart failure. Proc. Natl. Acad. Sci. USA 103, 18255–1860 (2006).
Ucar, A. et al. The miRNA-212/132 family regulates both cardiac hypertrophy and cardiomyocyte autophagy. Nat. Commun. 3, 1078–1088 (2012).
Kuosmanen, S. M. et al. MicroRNA profiling of pericardial fluid samples from patients with heart failure. PLoS One 10, 1–23 (2015).
Bauters, C. et al. Circulating miR-133a and miR-423-5p fail as biomarkers for left ventricular remodeling after myocardial infarction. Int. J. Cardiol. 168, 1837–1840 (2013).
Shen, X., Zheng, S., Metreveli, N. S. & Epstein, P. N. Protection of Cardiac Mitochondria by Overexpression of MnSOD Reduces Diabetic Cardiomyopathy. Diabetes 55, 798–805 (2006).
Fertin, M. et al. Usefulness of serial assessment of B-type natriuretic peptide, troponin I, and C-reactive protein to predict left ventricular remodeling after acute myocardial infarction (from the REVE-2 Study). Am. J. Cardiol. 106, 1410–1416 (2010).
Pinet, F. et al. Integrative network analysis reveals time-dependent molecular events underlying left ventricular remodeling in post-myocardial infarction patients. BBA-Mol Bas Dis 1862, 1445–1453 (2017).
Sarrion, I. et al. Role of Circulating miRNAs as Biomarkers in Idiopathic Pulmonary Arterial Hypertension: Possible Relevance of miR-23a. Oxid. Med. Cell. Longev. 2015, 1–10 (2015).
Dong, S. et al. microRNA-21 promotes cardiac fibrosis and development of heart failure with preserved left ventricular ejection fraction by up-regulating Bcl-2. Int. J. Clin. Exp. Pathol. 7, 565–574 (2014).
Thum, T. et al. MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts. Nature 456, 980–984 (2008).
Duan, X. et al. Expression of MicroRNA-1 and MicroRNA-21 in different protocols of ischemic conditioning in an isolated rat heart model. Cardiol. 122, 36–43 (2012).
Liu, X. et al. MiR-222 is necessary for exercise-induced cardiac growth and protects against pathological cardiac remodeling. Cell Metab. 21, 584–595 (2015).
Liu, X. et al. MicroRNA-222 regulates cell invasion by targeting matrix metalloproteinase 1 (MMP1) and manganese superoxide dismutase 2 (SOD2) in tongue squamous cell carcinoma cell lines. Cancer Genomics and Proteomics 6, 134–139 (2009).
Kumarswamy, R. et al. Circulating Long Noncoding RNA, LIPCAR, Predicts Survival in Patients With Heart FailureNovelty and Significance. Circ. Res. 114, (2014).
Karihtala, P., Porvari, K., Soini, Y. & Haapasaari, K.-M. Redox Regulating Enzymes and Connected MicroRNA Regulators Have Prognostic Value in Classical Hodgkin Lymphomas. Oxid. Med. Cell. Longev. 2017, 1–8 (2017).
Liu, Z. et al. Estradiol improves cardiovascular function through up-regulation of SOD2 on vascular wall. Redox Biol. 3, 88–99 (2014).
Pfeffer, M. A, Pfeffer, J. M., Steinberg, C. & Finn, P. Survival after an experimental myocardial infarction: beneficial effects of long-term therapy with captopril. Circulation 72, 406–412 (1985).
Mulder, P. et al. Early versus delayed angiotensin-converting enzyme inhibition in experimental chronic heart failure. Effects on survival, hemodynamics, and cardiovascular remodeling. Circulation 95, 1314–1319 (1997).
Mulder, P. et al. Long-term heart rate reduction induced by the selective I(f) current inhibitor ivabradine improves left ventricular function and intrinsic myocardial structure in congestive heart failure. Circulation 109, 1674–1679 (2004).
We thank Jean-Paul Henry for the surgical induction of MI in rats. This work was supported by grants from the E.U. FP7 HOMAGE (305507), F-CRIN INI-CRT, ANR 15-CEA-U16/DGOS 15-013 and “Fondation de France”. EDD was supported by grants from “region Hauts de France” and “Institut Pasteur de Lille”. TT was supported by the REBIRTH Excellence cluster and Leducq Foundation.
The authors declare that they have no competing interests.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Electronic supplementary material
About this article
Cite this article
Dubois-Deruy, E., Cuvelliez, M., Fiedler, J. et al. MicroRNAs regulating superoxide dismutase 2 are new circulating biomarkers of heart failure. Sci Rep 7, 14747 (2017). https://doi.org/10.1038/s41598-017-15011-6
- SOD1 Protein Expression
- Target Sodium
- Human Cardiomyocytes
- High Remodeling
This article is cited by
Label-free quantitative SWATH-MS proteomic analysis of adult myocardial slices in vitro after biomimetic electromechanical stimulation
Scientific Reports (2022)
Heart Failure Reviews (2020)
Hypertension Research (2018)