Figures
Abstract
Background
Recently, it has been reported that specific microRNA (miRNA) levels are elevated in serum and can be used as biomarkers in patients with cardiovascular diseases. However, miRNAs expression profiles and their sources in pericardial fluid (PF) are unclear.
Methods and Results
The purpose of this study was to identify the levels of miRNAs in PF in relation to those in the serum in patients undergoing cardiac surgery. Serum (S) and PF from patients undergoing coronary artery bypass graft (CABG) due to stable angina pectoris (sAP) and unstable AP (uAP) and aortic valve replacement due to aortic stenosis (AS) were analyzed for the detection of miRNAs. We named these samples S-sAP, S-uAP, S-AS, PF-sAP, PF-uAP, and PF-AS, respectively. We first measured the levels of miR-423-5p, which was recognized previously as a biomarker for heart failure. miR-423-5p levels were significantly higher in PF than serum. Although there was no difference in miR-423-5p levels among the PF-AS, PF-sAP, and PF-uAP, its levels were significantly elevated in S-uAP compared with those in S-AS and S-sAP. In order to clarify the source of miR-423-5p in PF, we measured the levels of muscle-enriched miR-133a and vascular-enriched miR-126 and miR-92a in the same samples. miR-133a levels were significantly higher in serum than in PF, and it was elevated in S-uAP compared with S-AS. miR-126 level was significantly increased in serum compared with PF, and the level of miR-92a the similar tendency. miR-423-5p is located in the first intron of NSRP1. There is another miRNA, miR-3184, encoded in the opposite direction in the same region. In vitro experiments indicated that the duplex of miR-423-5p and miR-3184-3p was more resistant to RNase than the duplex of miR-423-5p and miR-133-3p, which may help to stabilize miR-423-5p in the PF.
Citation: Miyamoto S, Usami S, Kuwabara Y, Horie T, Baba O, Hakuno D, et al. (2015) Expression Patterns of miRNA-423-5p in the Serum and Pericardial Fluid in Patients Undergoing Cardiac Surgery. PLoS ONE 10(11): e0142904. https://doi.org/10.1371/journal.pone.0142904
Editor: Motoyuki Otsuka, The University of Tokyo, JAPAN
Received: August 4, 2015; Accepted: October 28, 2015; Published: November 12, 2015
Copyright: © 2015 Miyamoto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: All relevant data are within the paper and its Supporting Information files.
Funding: This work was supported from the Grants of the Japan Society for the Promotion of Science (26116716 and 26293186). The funder had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
MicroRNAs (miRNAs; miRs) are single-stranded, small, non-coding RNAs which act as post-transcriptional regulators of gene expression [1,2,3]. Each miRNA has been shown to regulate the expression of multiple genes. Conversely, the expression of each gene can be regulated by many miRNAs. Thus, well over one-third of human protein-coding genes appear to be regulated by miRNAs [4].
MiRNAs have been identified as key regulators of complex biological processes including cardiovascular diseases and the number of studies on miRNAs in relation to cardiovascular pathologies has exponentially increased [5,6,7]. It is known that miRNAs are present in circulating blood in exosomes [8] and microparticles [9]. It has also been reported that miRNAs are bound to other RNA binding proteins, including nucleophosmin 1 (NPM1), Argonaute2 (Ago2), or by HDL instead of vesicles and are stable in blood [10,11,12]. The levels of specific, circulating miRNAs have been shown to be associated with various pathological conditions [13,14], such as heart failure [15] and acute coronary syndrome (ACS) [16,17,18,19,20]. Moreover, accumulating evidence suggests that circulating miRNAs exist not only in serum but also in other body fluids [21]. From these results, we hypothesized that miRNAs in pericardial fluid (PF) also may reflect the condition of the heart.
It has been reported that miR-423-5p levels are higher in patients with HF compared with healthy controls [22,23]. The hearts of patients who need to undergo open heart surgery possibly have repeated ischemic or hemodynamic stresses, which are associated with HF. Therefore, in this report, we measured the levels of miR-423-5p in serum and PF from patients treated with a coronary artery bypass graft (CABG) or aortic valve replacement due to aortic stenosis (AS). We also compared these levels with those of muscle-enriched miR-133a and vascular-enriched miR-126 and miR-92a in the same samples to address the source of miR-423-5p.
Materials and Methods
Study Population
This study was approved by the Institutional Review Board of Kyoto University Graduate School and Faculty of Medicine and Kitano Hospital. Written informed consent was given by all patients or their families in accordance with the Declaration of Helsinki. Diagnosis was based on the final diagnosis at discharge, which relied on the treating physician’s diagnosis.
Blood and Cardiac Effusion Sampling from Patients
Serum (S) and PF from patients undergoing coronary artery bypass graft (CABG) due to stable angina pectoris (sAP) and unstable AP (uAP) and aortic valve replacement due to AS were analyzed for the detection of circulating miRNAs. These samples were designated S-sAP, S-uAP, S-AS, PF-sAP, PF-uAP, and PF-AS. Venous blood obtained on admission was put into a commonly used test tube containing polyolefin resin for serum separation. The tube was centrifuged at 12,000 × g for 10 min. PF samples were collected during operation. The serum and PF was aliquoted and stored at -80°C until assayed.
Quantification of Circulationg miRNAs
As described in detail previously [20], we quantified circulating miRNAs. Total RNA was extracted from 350μL of serum and PF, using TRIzol LS reagent (Invitrogen, Carlsbad, USA). microRNAs were quantified using quantitative reverse-transcriptase-polymerase chain reaction (qRT-PCR) TaqMan MicroRNA Assays (Applied Biosysetms, Foster city, USA) and a 7900HT Fast Real-Time PCR System (Applied Biosystems) in accordance with the manufacturer’s instructions. Total RNA (100ng) was used to synthesize miR-133a-specific cDNA, and 10 ng of total RNA was used to synthesize miR-423-5p-, miR-126-, and miR-92a-specific cDNAs using the TaqMan microRNA assay. To evaluate miRNA expression levels, PCR was carried out in duplicate. Each miRNA level was normalized using exogenous cel-miR-39 and quantified by the 2-ΔCt method. When the Ct value of cel-miR-39 could not be determined or was more than 31, the samples were thought to be degradated and were excluded. If the Ct value of the target miRNA could not be determined, the expression level was regarded as 0.
Evaluation of the Stability of Double Strand RNAs
RNA oligonucleotides were dissolved at 5μM in RNAse free water and annealed. RNaseA (Roche, Basel, Switzerland) was added to the annealed RNA oligonucleotides at a concentration of 100ug/ml. Total RNA was extracted from RNA solutions before and 5 and 20minutes after the addition of RNaseA using TRIzol LS reagent (Invitrogen), Each miRNA level was normalized with exogenous cel-miR-39 and quantified by the 2-ΔΔCt method. Total RNA (100 ng) was used to synthesize miR-423-5p-specific cDNA using TaqMan microRNA assay. For the measurement of each miRNA, 7900HT Fast Real-Time PCR System was used, as described for the quantification of circulating miRNA. RNA oligonucleotides sequence used in this assay were as follows.
hsa-miR-423-5p: UGAGGGGCAGAGAGCGAGACUUU,
hsa-miR-3184-3p: AAAGUCUCGCUCUCUGCCCCUCA,
and hsa-miR-133a-3p: UUUGGUCCCCUUCAACCAGCUG.
Purification of Neonatal Mouse Cardiac Myocytes and Fibroblasts
We purified neonatal mouse cardiomyocytes and cardiac fibroblasts in according with previous reports [24,25]. Mice were maintained on a 12-h light/dark cycle, fed a normal laboratory diet ad libitum, sacrificed by decapitation. Mouse ventricles were isolated from 1-day-old C57BL/6 mice and dispersed in digestion buffer containing 1.3 mg/mL pancreatin (P3292; Sigma, St.Louis, USA) and 0.45 mg/mL collagenase type II (17101–015; Gibco®, Invitrogen Carlsbad, USA). Collected cells were washed in a 3:1 mixture of Dulbecco’s modified Eagle’s medium (DMEM) and medium 199 (Gibco®) supplemented with 10% horse serum (Gibco®), 10% fetal bovine serum (FBS; Sigma, 172012), 100 units/mL penicillin (Gibco®), 100 μg/mL streptomycin (Gibco®), and 292 μg/mL L-glutamine (Gibco®). The cells were centrifuged at 280 ×g for 5 min, mixed in serum-free DMEM and stained for fluorescence-activated cell sorting (FACS) analyses. MitoTracker® Green FM (M7514; Invitrogen, Carlsbad, USA) solution was utilized to identify cardiac myocytes, and anti-mouse Thy-1.2 antibody conjugated with allophycocyanin (APC) (17-0902-81; eBioscience, San Diego, USA) was used to stain cardiac fibroblasts. FACS system (BD FACSAria™ II; Becton Dickinson, Franklin Lakes, USA) was used to detect MitoTracker Green and APC. This investigation conformed to the Guide for the Care and Use of Laboratory Animals published by the US National Institutes of Health (NIH Publication No. 85–23, revised 1996). All animal care, experiments, and methods were approved by the Animal Care and Use Committees of Kyoto University Graduate School of Medicine (MedKyo15167).
Statistical Analysis
Data are presented as mean ± SD for patient characteristics, as median and interquartile ranges for human samples and as mean ± SEM in in vitro experiments, unless otherwise described. Patient characteristics were assessed using one-way ANOVA and chi-square test. For statistical comparisons, Wilcoxon test (two paired groups), Spearman test (two groups), or Kruskal-Walllis test (three groups) with Dunn’s multiple comparisons test were used in for human samples. For statistical comparisons for in vitro experiments, Student’s t test (two unpaired group) or ANOVA (three or more groups) with Turkey’s post hoc test were used. A probability value <0.05 was considered to indicate statistical significance. When the Ct value of cel-miR-39 could not be determined or was more than 31, the samples were thought to be degraded and were excluded. Statistical analyses were performed using GraphPad Prism 6 (GraphPad Software, Inc., San Diego, USA) or JMP Pro version 11 statistical packages (SAS Institue Inc., Cary, USA).
Results
miR-423-5p is Enriched in the PF and Is Elevated in S-uAP Compared with S-sAP and S-AS
To clarify the expression levels of miRNAs in PF in relation with those in the serum in patients undergoing cardiac surgery, serum and PF from patients undergoing CABG due to sAP (n = 16) and uAP (n = 13) and aortic valve replacement due to AS (n = 13) were analyzed. Accordingly, we designated these samples S-sAP, S-uAP, S-AS, PF-sAP, PF-uAP, and PF-AS. Quantitative real-time PCR methodologies have been widely applied in miRNA research, especially for assessing low levels of serum miRNAs. To date, the most widely used and successful approach in terms of specificity and sensitivity is a two-step approach using looped miRNA-specific reverse transcription primers and TaqMan probes [26]. Therefore, we applied this system to determine the levels of miRNAs in our patients. Baseline characteristics of the patients according to their disease condition are summarized in Table 1. The aspartate aminotransferase and alanine aminotransferase levels of the patients with uAP were significantly higher than in those with sAP and AS. The proportion of patients reporting regular alcohol intake was also significantly elevated in patients with uAP compared with the other groups. We first measured the levels of miR-423-5p, which was recognized previously as a biomarker for heart failure. We found that miR-423-5p levels were significantly higher in PF compared with serum (Fig 1A). Although there was no difference in the levels of miR-423-5p among PF-AS, PF-sAP, and PF-uAP, (Fig 1B), miR-423-5p levels were significantly higher in S-uAP than those in S-AS and S- sAP (Fig 1C).
(A) Expression levels of miR-423-5p in the pericardial fluid (PF) and serum. (B) Expression levels of miR-423-5p in serum of patients with AS, sAP and uAP. miR-423-5p levels were using exogenous cel-miR-39. Data are presented as mean ± SD. *P<0.05. **P<0.01. (C) Expression levels of miR-423-5p in the PF of patients with AS, sAP and uAP. miR-423-5p levels were normalized using exogenous cel-miR-39. Data are presented as median and interquartile range. *P<0.05.
Muscle-Enriched and Vascular-Enriched miRNAs Are Not Elevated in PF
In order to clarify the source of miR-423-5p, we also measured the levels of muscle-enriched miR-133a and vascular-enriched miR-126 and miR-92a in the same samples. The levels of miR-126 and miR-133a were significantly elevated in the serum compared with PF, and miR-92a showed a similar tendency (P = 0.12) (Fig 2A, 2C and 2E). miR-133a and miR-92a levels were significantly elevated in S-uAP compared with S-AS (Fig 2B and 2F). There was no difference in the levels of miR-126 among PF-AS, PF-sAP, and PF-uAP, (Fig 2D), and there was no difference in miR-133a, miR-92a, and miR-126 levels among PF-uAP, PF-sAP and PF-AS (S1 Fig). Elevation of miR-133a in S-uAP was consistent with our previous results that the serum levels of miR-133 were elevated in patients with myocardial injury [20]. We then sought to determine which cells express miR-423-5p in the heart. Cardiomyocytes and cardiac fibroblasts were isolated by FACS from neonatal mice hearts [24,25]. The expression levels of miR-423-5p were significantly higher in cardiomyocytes than in fibroblasts (Fig 2G).
(A) Expression levels of miR-133a in serum and PF, (B) Expression levels of miR-133a in the serum of patients with aortic stenosis (AS), stable angina pectoris (sAP) and unstable angina pectoris (uAP), (C) Expression levels of miR-92a in serum and PF, (D) Expression levels of miR-92a in serum of patients with AS, sAP and uAP, (E) Expression levels of miR-126 in serum and PF, (F) Expression levels of miR-126 in the serum of patients with AS, sAP and uAP. Each miRNA level was normalized using exogenous cel-miR-39. Data are presented as median and interquartile range. *P<0.05. **P<0.01. (G) Expression levels of miR-423-5p in cardiomyocytes and fibroblasts from neonatal mice hearts, n = 4. miR-423-5p was normalized using U6. Data are presented as mean ± SEM. * p<0.05
miR-423-5p and miR-3184 Are Encoded in the Same Intron in the Opposite Direction
miR-423-5p is located within the intron of nuclear speckle splicing regulatory protein 1 (NSRP1). There is also another miRNA, miR-3184, encoded in the opposite direction at the same region (Fig 3A). The complementarity between miR-423-5p are miR-3184-3p is complete, whereas that between miR-3184-5p and miR-423-3p is lower. The complementarity between miR-423-5p and -3p is almost half of that of miR-423-5p and miR-3184-3p (Fig 3B). It was reported that complementary miRNA pairs form miRNA:miRNA duplexes [27]. We hypothesized that miR-423-5p and miR-3184-3p may form miR-423-5p:miR-3184-3p RNA duplexes and analyzed the stability of miR-423-5p:miR-3184-3p duplexes. We annealed miR-423-5p with miR-3184-3p or miR-133a-3p and compared the levels of miR-423-5p using RNaseA treatment for different time periods (Fig 3C). The levels of miR-423-5p were still high at 5 and 20 minutes after the addition of RNase A when an RNA duplex of miR-423-5p:miR-3184-3p formed, which was more stable than that of miR-423-5p:miR-133a-3p. Moreover, the levels of miR-423-5p in PF had a tendency to correlate to the levels of miR-3184-3p (Fig 3D, r = 0.35, p = 0.0515). These results suggested that miR-3184-3p may help to stabilize miR-423-5p in the PF.
(A) Localization of nuclear speckle splicing regulatory protein 1 (NSRP1) on chromosome 17q11.2. MiR-423-5p is located in intron1 of NSRP1. MiR-423-5p and miR-3184-3p are encoded in opposite direction in the same region. (B) Sequence alignment between miR-423-5p and miR-3184-3p, miR-423-5p and miR-423-3p, and miR-3184-5p and miR-423-5p (C) miR-423-5p:miR-3184-3p and miR-423-5p:miR-133a were treated with 100μg/ml RNase A, and the expression level of miR-423-5p was measured at the indicated time points (n = 3). Data are presented as mean ± SEM. *p<0.05, **p<0.01 (D) The correlation between the expression levels of miR-423-5p and miR-3184-3p in PF (n = 31). Each miRNAs was normalized using exogenous cel-miR-39.
Discussion
In this report, we analyzed miRNA levels in PF in association with those in the serum. miR-423-5p levels were significantly higher in PF than serum. Although there was no difference in miR-423-5p levels among the PF-AS, PF-sAP, and PF-uAP, its levels were significantly elevated in S-uAP compared with those in S-AS and S-sAP. In order to clarify the source of miR-423-5p, we measured the levels of muscle-enriched miR-133a and vascular-enriched miR-126 and miR-92a in the same samples. However, their expression patterns were distinct from miRNA-423-5p. We noticed that miR-423-5p and miR-3184-3p are located within the same region of NSRP1 intron in the opposite direction, and RNA duplexes may be formed by these miRNAs.
Although the biological function of miR-423-5p is still unknown, we found that miR-423-5p levels were significantly higher in S-uAP than those in S-sAP and S-AS. This result indicated that circulating miR-423-5p may reflect the disease status of cardiac ischemia. It has been reported that miR-423-5p levels are higher in patients with HF compared with healthy controls and correlated with NT-proBNP (BNP) and EF [22]. Other reports also revealed that four circulating miRNAs (miR-423-5p, miR-320a, miR-22 and miR-92b) were significantly increased in patients with systolic HF, and a score based on the levels of these four miRs correlated with clinical parameters in patients with systolic HF [23]. However, there was no correlation between serum or PF levels of miR-423-5p and BNP in our samples (S2 Fig). This may be because our samples were obtained from patients before operations and most of the patients were already controlled by medications. As a result, BNP levels in our samples were not as high as those observed in acute decompensated HF.
Some miRNAs have been shown to exhibit tissue-specific expression, such as miR-133a, miR-126, or miR-92a. On the other hand, miR-423-5p was shown to be ubiquitously expressed in diverse tissues in porcine [28]. Although the origin of PF is unclear, many substances in PF are reported to be carried from coronary sinus through the capillary network [29,30]. miR-423-5p was reported to show significant differences in the transcoronary gradient in HF patients compared with controls. This result suggested that miR-423-5p is produced and/or released by the myocardium in HF patients [31]. Although miR-423-5p is enriched in cardiomyocytes compared with fibroblasts in neonatal mouse heart, the reason why they are elevated in the samples of patients with uAP is still unknown.
In our study, miR-423-5p was detected with high abundance in PF compared with serum. We speculate that miR-423-5p may form a duplex with miR-3184-3p, which protects it from degradation. Currently, it is not possible to identify the existence of duplex RNA in vivo. Advanced techniques in the future may enable us to understand the function of the unique localization of miR-423 and miR-3184.
Circulating miRNAs have been reported to be useful as biomarkers of numerous diseases. Weber et al. investigated the distribution of miRNAs in 12 human body fluids such as saliva, urine, and pleural effusion. The composition of miRNAs varied among those samples [32]. Among them, it is reported that several miRNAs in urine samples had potential diagnostic biomarkers of prostate cancer. [33,34]. Kuosmanen et al. made the first report of the profile of miRNAs in PF of patients with HF [35]. They reported that miR-16 and miR-21 were detected at high levels from the PF samples. As shown in S3 Fig, miR-16 and miR-21 were detected at high levels. Although it is impossible to compare different miRNAs in absolute values by using the TaqMan microRNA assay, miR-16 and miR-21 seem to be present at high levels in PF. They could not detect any miRNAs that reflected the clinical features of their patients. However, Fujita et al. showed that angiogenic growth factors in PF were significantly higher in patients with ischemic heart diseases than in those with non-ischemic heart diseases [36]. They also showed that BNP levels in PF were associated with left ventricular dysfunction [37]. Therefore, it was hypothesized that there may be functional miRNAs in PF, and some of them may be utilized to reflect clinical status. Although we were not able to detect the disease-specific miRNAs in PF so far, in depth analyses of miRNAs by miRNA microarrays or RNA sequence may allow us to find miRNAs that are useful to detect the patients’ heart condition in the future.
Supporting Information
S1 Fig. Levels of Muscle-enriched and vascular-enriched miRNAs in pericardial fluid (PF) do not show any difference among patients.
https://doi.org/10.1371/journal.pone.0142904.s001
(DOCX)
S2 Fig. Levels of miR-423-5p in serum or PF are not correlated with log2 BNP.
https://doi.org/10.1371/journal.pone.0142904.s002
(DOCX)
Acknowledgments
We thank N. Sowa, for providing technical assistance. We also thank members of the clinical research unit for the collection of blood samples.
Author Contributions
Conceived and designed the experiments: KO SU TK YK TH. Performed the experiments: SU SM YK. Analyzed the data: OB DH YN MN MI TNa TNi YI FN JW. Contributed reagents/materials/analysis tools: SM KU. Wrote the paper: KO SU.
References
- 1. Kiriakidou M, Tan GS, Lamprinaki S, De Planell-Saguer M, Nelson PT, Mourelatos Z (2007) An mRNA m7G cap binding-like motif within human Ago2 represses translation. Cell 129: 1141–1151. pmid:17524464
- 2. Bagga S, Bracht J, Hunter S, Massirer K, Holtz J, Eachus R, et al. (2005) Regulation by let-7 and lin-4 miRNAs results in target mRNA degradation. Cell 122: 553–563. pmid:16122423
- 3. Humphreys DT, Westman BJ, Martin DI, Preiss T (2005) MicroRNAs control translation initiation by inhibiting eukaryotic initiation factor 4E/cap and poly(A) tail function. Proc Natl Acad Sci U S A 102: 16961–16966. pmid:16287976
- 4. Lewis BP, Burge CB, Bartel DP (2005) Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell 120: 15–20. pmid:15652477
- 5. Ono K, Kuwabara Y, Han J (2011) MicroRNAs and Cardiovascular Diseases. FEBS J.
- 6. Horie T, Ono K, Horiguchi M, Nishi H, Nakamura T, Nagao K, et al. (2010) MicroRNA-33 encoded by an intron of sterol regulatory element-binding protein 2 (Srebp2) regulates HDL in vivo. Proc Natl Acad Sci U S A 107: 17321–17326. pmid:20855588
- 7. Nishi H, Ono K, Horie T, Nagao K, Kinoshita M, Kuwabara Y, et al. (2011) MicroRNA-27a Regulates Beta Cardiac Myosin Heavy Chain Gene Expression by Targeting Thyroid Hormone Receptor {beta}1 in Neonatal Rat Ventricular Myocytes. Mol Cell Biol 31: 744–755. pmid:21149577
- 8. Valadi H, Ekstrom K, Bossios A, Sjostrand M, Lee JJ, Lotvall JO (2007) Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat Cell Biol 9: 654–659. pmid:17486113
- 9. Chen TS, Lai RC, Lee MM, Choo AB, Lee CN, Lim SK (2010) Mesenchymal stem cell secretes microparticles enriched in pre-microRNAs. Nucleic Acids Res 38: 215–224. pmid:19850715
- 10. Wang K, Zhang S, Weber J, Baxter D, Galas DJ (2010) Export of microRNAs and microRNA-protective protein by mammalian cells. Nucleic Acids Res 38: 7248–7259. pmid:20615901
- 11. Arroyo JD, Chevillet JR, Kroh EM, Ruf IK, Pritchard CC, Gibson DF, et al. (2011) Argonaute2 complexes carry a population of circulating microRNAs independent of vesicles in human plasma. Proc Natl Acad Sci U S A 108: 5003–5008. pmid:21383194
- 12. Vickers KC, Palmisano BT, Shoucri BM, Shamburek RD, Remaley AT (2011) MicroRNAs are transported in plasma and delivered to recipient cells by high-density lipoproteins. Nat Cell Biol 13: 423–433. pmid:21423178
- 13. Heneghan HM, Miller N, Lowery AJ, Sweeney KJ, Kerin MJ (2009) MicroRNAs as Novel Biomarkers for Breast Cancer. J Oncol 2009: 950201. pmid:19639033
- 14. Mitchell PS, Parkin RK, Kroh EM, Fritz BR, Wyman SK, Pogosova-Agadjanyan EL, et al. (2008) Circulating microRNAs as stable blood-based markers for cancer detection. Proc Natl Acad Sci U S A 105: 10513–10518. pmid:18663219
- 15. Tijsen AJ, Creemers EE, Moerland PD, de Windt LJ, van der Wal AC, Kok WE, et al. (2010) MiR423-5p as a circulating biomarker for heart failure. Circ Res 106: 1035–1039. pmid:20185794
- 16. D'Alessandra Y, Devanna P, Limana F, Straino S, Di Carlo A, Brambilla PG, et al. (2010) Circulating microRNAs are new and sensitive biomarkers of myocardial infarction. Eur Heart J 31: 2765–2773. pmid:20534597
- 17. Cheng Y, Tan N, Yang J, Liu X, Cao X, He P, et al. (2010) A translational study of circulating cell-free microRNA-1 in acute myocardial infarction. Clin Sci (Lond) 119: 87–95.
- 18. Wang GK, Zhu JQ, Zhang JT, Li Q, Li Y, He J, et al. (2010) Circulating microRNA: a novel potential biomarker for early diagnosis of acute myocardial infarction in humans. Eur Heart J 31: 659–666. pmid:20159880
- 19. Ai J, Zhang R, Li Y, Pu J, Lu Y, Jiao J, et al. (2010) Circulating microRNA-1 as a potential novel biomarker for acute myocardial infarction. Biochem Biophys Res Commun 391: 73–77. pmid:19896465
- 20. Kuwabara Y, Ono K, Horie T, Nishi H, Nagao K, Kinoshita M, et al. (2011) Increased MicroRNA-1 and MicroRNA-133a Levels in Serum of Patients With Cardiovascular Disease Indicate Myocardial Damage. Circ Cardiovasc Genet 4: 446–454. pmid:21642241
- 21. Cortez MA, Bueso-Ramos C, Ferdin J, Lopez-Berestein G, Sood AK, Calin GA (2011) MicroRNAs in body fluids—the mix of hormones and biomarkers. Nat Rev Clin Oncol 8: 467–477. pmid:21647195
- 22. Hattori F, Chen H, Yamashita H, Tohyama S, Satoh YS, Yuasa S, et al. (2010) Nongenetic method for purifying stem cell-derived cardiomyocytes. Nat Methods 7: 61–66. pmid:19946277
- 23. Kuwabara Y, Horie T, Baba O, Watanabe S, Nishiga M, Usami S, et al. (2015) MicroRNA-451 exacerbates lipotoxicity in cardiac myocytes and high-fat diet-induced cardiac hypertrophy in mice through suppression of the LKB1/AMPK pathway. Circ Res 116: 279–288. pmid:25362209
- 24. Lao K, Xu NL, Yeung V, Chen C, Livak KJ, Straus NA (2006) Multiplexing RT-PCR for the detection of multiple miRNA species in small samples. Biochem Biophys Res Commun 343: 85–89. pmid:16529715
- 25. Lai EC, Wiel C, Rubin GM (2004) Complementary miRNA pairs suggest a regulatory role for miRNA:miRNA duplexes. RNA 10: 171–175. pmid:14730015
- 26. Tijsen AJ, Pinto YM, Creemers EE (2012) Circulating microRNAs as diagnostic biomarkers for cardiovascular diseases. Am J Physiol Heart Circ Physiol 303: H1085–1095. pmid:22942181
- 27. Goren Y, Kushnir M, Zafrir B, Tabak S, Lewis BS, Amir O (2012) Serum levels of microRNAs in patients with heart failure. Eur J Heart Fail 14: 147–154. pmid:22120965
- 28. Xie SS, Li XY, Liu T, Cao JH, Zhong Q, Zhao SH (2011) Discovery of porcine microRNAs in multiple tissues by a Solexa deep sequencing approach. PLoS One 6: e16235. pmid:21283541
- 29. Weihrauch D, Tessmer J, Warltier DC, Chilian WM (1998) Repetitive coronary artery occlusions induce release of growth factors into the myocardial interstitium. Am J Physiol 275: H969–976. pmid:9724302
- 30. Hanley F, Messina LM, Baer RW, Uhlig PN, Hoffman JI (1983) Direct measurement of left ventricular interstitial adenosine. Am J Physiol 245: H327–335. pmid:6881365
- 31. Goldraich LA, Martinelli NC, Matte U, Cohen C, Andrades M, Pimentel M, et al. (2014) Transcoronary gradient of plasma microRNA 423-5p in heart failure: evidence of altered myocardial expression. Biomarkers 19: 135–141. pmid:24506564
- 32. Weber JA, Baxter DH, Zhang S, Huang DY, Huang KH, Lee MJ, et al. (2010) The microRNA spectrum in 12 body fluids. Clin Chem 56: 1733–1741. pmid:20847327
- 33. Kuner R, Brase JC, Sultmann H, Wuttig D (2013) microRNA biomarkers in body fluids of prostate cancer patients. Methods 59: 132–137. pmid:22652624
- 34. Bryant RJ, Pawlowski T, Catto JW, Marsden G, Vessella RL, Rhees B, et al. (2012) Changes in circulating microRNA levels associated with prostate cancer. Br J Cancer 106: 768–774. pmid:22240788
- 35. Kuosmanen SM, Hartikainen J, Hippelainen M, Kokki H, Levonen AL, Tavi P (2015) MicroRNA profiling of pericardial fluid samples from patients with heart failure. PLoS One 10: e0119646. pmid:25763857
- 36. Fujita M, Ikemoto M, Kishishita M, Otani H, Nohara R, Tanaka T, et al. (1996) Elevated basic fibroblast growth factor in pericardial fluid of patients with unstable angina. Circulation 94: 610–613. pmid:8772678
- 37. Tanaka T, Hasegawa K, Fujita M, Tamaki SI, Yamazato A, Kihara Y, et al. (1998) Marked elevation of brain natriuretic peptide levels in pericardial fluid is closely associated with left ventricular dysfunction. J Am Coll Cardiol 31: 399–403. pmid:9462585