Literature DB >> 23070235

Circulating levels of inflammation-associated miR-155 and endothelial-enriched miR-126 in patients with end-stage renal disease.

Honglei Wang1, Wujian Peng, Xuemei Shen, Yunhui Huang, Xin Ouyang, Yong Dai.   

Abstract

Circulating microRNAs (miRNAs) may represent a potential noninvasive molecular biomarker for various pathological conditions. Moreover, the detection of circulating miRNAs can provide important novel disease-related information. In particular, inflammation-associated miR-155 and endothelial-enriched miR-126 are reported to be associated with vascular homeostasis. Vascular damage is a common event described in end-stage renal disease (ESRD). We hypothesized that miR-155 and miR-126 may be detectable in the circulation and serve as potential biomarkers for risk stratification. In this study, we assessed miR-155 and miR-126 in the plasma of 30 ESRD patients and 20 healthy controls using real-time quantification RT-PCR. The circulating levels of miR-155 and miR-126 were significantly reduced in patients with ESRD compared to healthy controls. However, there was no significant difference of circulating miR-155 and miR-126 levels between prehemodialysis and posthemodialysis patients. Furthermore, both circulating miR-126 and miR-155 correlated positively with estimated glomerular filtration rate (miR-126: r = 0.383, P = 0.037; miR-155: r = 0.494, P = 0.006) and hemoglobin (miR-126: r = 0.515, P = 0.004; miR-155: r = 0.598, P < 0.001) and correlated inversely with phosphate level (miR-126: r = -0.675, P < 0.001; miR-155: r = -0.399, P = 0.029). Pearson's correlation was used to compare circulating levels of miRNAs with clinical parameters. These results suggested that circulating miR-155 and miR-126 might be involved in the development of ESRD. Further studies are needed to demonstrate the role of circulating miR-155 and miR-126 as candidate biomarkers for risk estimation.

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Year:  2012        PMID: 23070235      PMCID: PMC3854222          DOI: 10.1590/s0100-879x2012007500165

Source DB:  PubMed          Journal:  Braz J Med Biol Res        ISSN: 0100-879X            Impact factor:   2.590


Introduction

MicroRNAs (miRNAs) are a class of small (∼22 nucleotides) non-coding RNAs that regulate gene expression at the post-transcriptional level by either translational repression or messenger RNA degradation (1). MiRNAs have been shown to play critical roles in various cellular processes, inflammation, and angiogenesis (2). In particular, miR-126 and miR-155 have been reported to control vascular homeostasis, angiogenesis, and vascular repair. In addition, miR-155, an important multifunctional miRNA, has been shown to regulate the endothelial inflammatory response and migration mediated by angiotensin α (3). Moreover, accumulating evidence points to an essential role of miRNAs in kidney disease, which is supported by the finding that the depletion of the miRNA-processing enzyme Dicer results in defects in renin cells (juxtaglomerular cells), angiogenesis, and renal morphological integrity and function (4-6). Specific miRNA expression profiles have been described for diabetic nephropathy, polycystic kidney disease and kidney allograft rejection (7). Cardiovascular diseases are the leading cause of morbidity and mortality in patients with end-stage renal disease (ESRD) (8), and this cardiovascular risk cannot be completely elucidated by traditional risk factors. Thus, more emphasis has been placed on non-traditional risk factors such as vascular calcification, inflammation, endothelial dysfunction and oxidative stress, and sympathetic overactivation (9,10). A few specific miRNAs have been implicated in the functional regulation of endothelial cells (ECs), as well as inflammatory responses and peripheral angiogenic signaling (11). Thus, differentially expressed miRNAs are responsible for non-traditional risk factors of chronic kidney disease (CKD). Given that miR-126 and miR-155 play important roles in EC functional regulation, endothelial dysfunction has been reported to be associated with ESRD. Therefore, we hypothesized that miR-126 and miR-155 may be involved in vascular damage-related pathophysiology in patients with ESRD. MiRNAs were previously considered to act as intracellular RNAs to regulate gene expression. However, increasing evidence suggested that miRNAs can be detected in the circulation in remarkably stable form that withstands repeated freezing/thawing cycles (12). It was discovered that miRNAs circulate within membrane-bound vesicles that are resistant to RNase digestion (13). One study additionally demonstrated that circulating Argonaute 2 complexes, carrying a number of miRNAs independent of vesicles, are one mechanism responsible for the stability of circulating miRNAs (14). Similarly, it has been recognized that specific miRNAs could serve as potential biomarkers of various diseases in the circulation. Therefore, in the present study, we assayed the circulating levels of inflammation-associated miR-155 and endothelial-enriched miR-126 in patients with ESRD, expecting to be able to provide new insights into the development of ESRD and the manifestation of its vascular complications.

Material and Methods

Patients and volunteers

The study included ESRD patients of ≥18 years of age who had been receiving maintenance hemodialysis 3 times weekly for at least 3 months. The primary disease in ESRD patients was chronic glomerulonephritis in China, which was proved by biopsy. Twenty healthy adults without any evidence of CKD or inflammatory disorders were included in the control group. All participating subjects gave written informed consent before participating in the study. All study protocols and consent forms were approved by the Second Clinical Medical College (Shenzhen People's Hospital) of Jinan University, which abides by the Helsinki Declaration on ethical principles for medical research involving human subjects.

Blood processing

In the pre-hemodialysis (pre-HD) patients, whole blood samples (3 mL) were collected immediately pre-HD from fistula needles before machine connection or any heparin exposure. In the post-hemodialysis (post-HD) patients, samples were also collected from fistula needles. All blood samples were processed for the isolation of plasma within 4 h of collection. The blood was centrifuged at 2000 g for 10 min at room temperature. Plasma was then transferred to RNase-free tubes and stored at -80°C.

RNA isolation

RNA was isolated by using a Trizol-based miRNA isolation protocol in which 300 µL plasma was mixed with 1200 µL Trizol (Invitrogen, USA). After the addition of Trizol, we supplemented the plasma with 2 µL synthetic cel-lin-4 (Shanghai GenePharma, China) and subsequently mixed it with 200 µL chloroform. The organic and aqueous phase was separated by centrifugation. The aqueous phase containing the RNA was carefully removed, and RNA was precipitated as described previously (15,16). RNA was solubilized by the addition of 25 µL RNase-free water.

Real-time quantification RT-PCR (RT-qPCR) of mature miRNAs

To determine the regulation of miRNAs, we performed RT-qPCR using RNA isolated from 20 healthy controls and 30 pre-HD and post-HD patients. Target-specific stem-loop RT primers that bind to the 3′ portion of miRNA molecules were used and reverse transcription was performed using M-MLV Reverse Transcriptase (Promega, USA). Real-time PCR was then performed using an ABI PRISM 7500 Sequence Detection System (Applied Biosystems, USA) with miRNA-specific forward and reverse primers. Each SYBR Green reaction was performed with 5 µL template cDNA, 10 µL 2X SYBR Greens PCR Master Mix (Toyobo, Japan), 0.5 µL of each primer (10 µmol/µL), and water to adjust to a final volume of 20 µL. The miRNA-specific forward primer sequences were designed based on the mature miRNA sequence obtained from the miRBase database (http://www.mirbase.org/). The RT primers used include 1) RT forward: hsa-miR-126, 5′-ACACTCCAGCTGGGTCGTACCGTGAGTAATAA-3′; hsa-miR-155, 5′-ACACTCCAGCTGGGTTAATGCTAATCGTGATA-3′; cel-lin-4, 5′-ACACTCCAGCTGGGTCCCTGAGACCTCAAGTG-3′, and 2) miRNA reverse: 5′-CTCAACTGGTGTCGTGGA-3′. All reactions were incubated on a 96-well plate at 95°C for 5 min, followed by 40 cycles of 95°C for 15 s, 65°C for 15 s, 72°C for 32 s. Each sample was assayed in triplicate for the analysis. Finally, at the end of the PCR cycles, melting curves were constructed to confirm the specificity of the expected PCR products.

Statistical analysis

All data for continuous variables are reported as means ± SD, unless otherwise stated. Values were normalized to cel-lin-4 and were calculated according to the 2−ΔΔCT method, as described previously (17). For group-wise comparisons, the Student t-test (2 groups), ANOVA, or Kruskal-Wallis test (n group) were used, as appropriate. The Pearson product-moment test was used to examine the correlations between miRNA levels and clinical parameters. All statistical tests were performed 2-sided and the level of significance was set at P < 0.05. All statistical analyses were carried out using the SPSS (version 13.0) software.

Results

A total of 50 subjects were studied, including 30 ESRD patients and 20 healthy controls. There was no difference in age between ESRD patients and healthy controls (P > 0.05). The clinical characteristics of the study population are summarized in Table 1.
Table 1.

Baseline clinical data of the subjects.

End-stage renal disease (N = 30)Healthy controls (N = 20)
Age (years)52.17 ± 11.7349.25 ± 11.25
Males73%60%
Chronic glomerulonephritis100%-
Blood pressure
 Systolic (mmHg)144 ± 15.62*125 ± 10
 Diastolic (mmHg)87 ± 10.584 ± 7
eGFR (mL/min)8.38 ± 1.97-
Hemoglobin (mg/dL)91 ± 13.61*116 ± 9.5
Albumin (g/dL)3.6 ± 0.6*4.6 ± 0.6
CRP (mg/L)10.89 ± 9.1*1.12 ± 0.48
Calcium (mM)2.26 ± 0.382.31 ± 0.29
Phosphate (mM)2.1 ± 0.4*1.2 ± 0.19

Data are reported as means ± SD. eGFR = estimated glomerular filtration rate; CRP = C-reactive protein.

P < 0.05 compared to healthy controls (Student t-test).

Data are reported as means ± SD. eGFR = estimated glomerular filtration rate; CRP = C-reactive protein. P < 0.05 compared to healthy controls (Student t-test).

Expression of miRNAs in plasma

To date, no reliable endogenous control miRNA has been established and validated to normalize for miRNA content. The use of synthetic versions of Caenorhabditis elegans miRNAs as controls has been proposed by many investigators (15). Therefore, we supplemented the samples with recombinant cel-lin-4, which can be consistently detected by RT-qPCR, and no significant difference in raw Ct values of cel-lin-4 was detected among the 3 groups (P = 0.754; Kruskal-Wallis test). Thus, cel-lin-4 was used to normalize the differences in the efficiency of RNA isolation. As shown in Figure 1, the circulating levels of miR-126 and miR-155 were significantly different when ESRD patients were compared to healthy controls. The circulating levels of miR-126 and miR-155 were significantly reduced in pre-HD patients compared to healthy controls. However, no significant internal correlation was observed between the circulating levels of miR-126 and miR-155 (r = -0.179, P = 0.450). Interestingly, the circulating levels of miR-126 and miR-155 were still significantly reduced in post-HD patients compared to healthy controls (miR-126: P < 0.001; miR-155: P < 0.001). Remarkably, no significant difference was observed between pre-HD and post-HD patients (P > 0.05).
Figure 1.

Circulating miRNAs in patients with end-stage renal disease (ESRD) and healthy controls. Circulating levels of miR-126 and miR-155 in plasma were obtained from patients with ESRD (N = 30) and healthy controls (N = 20) by RT-qPCR. Plasma miR-126 and miR-155 levels were calculated by the 2−ΔΔCT method. *P < 0.001 (ANOVA followed by the Tukey post-test).

Correlations between miRNA level and clinical parameters

The relative expression levels of circulating miRNAs were calculated by the comparative 2−ΔΔCT method. Figure 2 shows that the circulating levels of miR-126 correlated positively with both estimated glomerular filtration rate (eGFR) (r = 0.383, P = 0.037) and hemoglobin (r = 0.515, P = 0.004). However, they correlated negatively with phosphate level (r = -0.675, P < 0.001) and were not significantly correlated with C-reactive protein (CRP) (r = -0.234, P = 0.214). As shown in Figure 3, the circulating miR-155 levels correlated positively with both eGFR (r = 0.494, P = 0.006) and hemoglobin (r = 0.598, P < 0.001), but correlated negatively with phosphate levels (r = -0.399, P = 0.029) and CRP (r = -0.379, P = 0.039). In addition, the circulating levels of miR-126 and miR-155 were not significantly correlated with calcium or albumin levels.
Figure 2.

Correlations between circulating miR-126 and A, estimated glomerular filtration rate (eGFR); B, hemoglobin; C, phosphate; D, C-reactive protein (CRP); E, calcium; F, albumin. Statistical analysis was performed by the Pearson correlation test.

Figure 3.

Correlations between circulating miR-155 and A, estimated glomerular filtration rate (eGFR); B, hemoglobin; C, phosphate; D, C-reactive protein (CRP); E, calcium; F, albumin. Statistical analysis was performed by the Pearson correlation test.

Discussion

We showed here that the circulating levels of endothelial-enriched and inflammation-associated miRNAs were significantly dysregulated in patients with ESRD receiving maintenance hemodialysis compared to healthy controls; moreover, the levels of these miRNAs tended to be significantly reduced in patients with ESRD. Our findings warrant prospective investigation into the role of circulating miRNAs in the pathophysiology and cardiovascular complications of ESRD.

MiR-126 and miR-155 in ESRD

It is important to realize that endothelial dysregulation starts in the early stage of CKD (18) and is a common event identified in both chronic and acute renal failure and in ESRD (9). In addition, studies have suggested that inflammation exists in patients with ESRD and might be aggravated by hemodialysis (19). Similarly, recent studies have demonstrated that miRNA can regulate vascular inflammation, endothelial homeostasis, and angiogenesis. In particular, miR-126 and miR-155 have been shown to be involved in vascular dysfunction and inflammation. MiR-126 is highly enriched in ECs and endothelial apoptotic bodies and governs the maintenance of vascular integrity and angiogenesis (20,21). Moreover, miR-126 can facilitate vascular endothelial growth factor signaling pathway (11) and modify vascular inflammation by suppressing leukocyte adhesion to ECs. MiR-155 regulates the expression of adhesion molecules in inflammatory ECs as well as inflammation response in ECs mediated by and angiotensin α (22). Another study revealed that miR-155 and angiotensin α type 1 receptor (AT1R) are co-expressed in ECs and vascular smooth-muscle cells (23) and their expression is negatively correlated with the expression of the endogenous AT1R (24). A silent polymorphism (+1166 A/C) in the human AT1R has been shown to be associated with cardiovascular disease (CVD), which might be mediated by enhanced AT1R activity (23). Therefore, miR-126 and miR-155 might be responsible for endothelial activation and increased CVD risk in ESRD patients (25).

Circulating miR-155 and miR-126 in ESRD patients

Recent studies have revealed that miRNAs previously identified in specific cells can also be detected in the circulation. Neal et al. (26) have shown that circulating levels of total and specific miRNAs were reduced in patients with severe chronic renal failure, with important implications for the use of circulating miRNAs as biomarkers in patients with renal impairment and for the pathogenesis of uremia. Moreover, Amabile et al. (27) suggested that miR-210 might serve as a strong and independent predictor of survival in critically ill patients with acute kidney injury. In the present study, we measured the expression of miR-155 and miR-126, which were significantly reduced in ESRD patients. Our data suggested that miR-126 and miR-155 might be useful predictive tools in ESRD; however, these results should be validated in a large clinical population, in which comparisons with standard risk factors could be made. Although the origin of miRNAs present in the circulation is incompletely understood, it is possible that circulating miRNAs are derived from vascular and inflammatory cells in body fluids. For example, endothelial and inflammatory cells can be a source of circulating miR-126 and miR-155. Circulating miRNAs are packed within membrane-bound vesicles (14). These vesicles are byproducts released from cell apoptosis or activation, and are involved in cell-cell communication (28). However, the reduced concentration of circulating miR-126 and miR-155 detected in patients with ESRD was surprising because one would expect that ECs and the inflammatory cell activation that occurs in ESRD contribute to the release of microparticles and remnants of apoptotic cells, thus increasing the expressed levels of circulating miRNAs. However, Neal et al. (26) demonstrated that the rate of miRNA degradation is increased in plasma from patients with severe CKD. Therefore, one may speculate that the reduced circulating miR-126 and miR-155 might be associated with the increased miRNA degradation rate in patients with ESRD. Additionally, accumulating evidence suggests that apoptotic bodies and microparticles can be transferred to other cell types (29), and that low circulating levels might result from increased delivery of miR-126 and miR-155 to recipient cell, and then act as physiologically functional molecules to exert gene silencing through the same mechanism as cellular miRNAs, suggesting the potentially important roles of circulating miRNAs in the development of CKD. Therefore, it is at least theoretically probable that circulating miR-126 and miR-155 are involved in the development of ESRD. Moreover, in the present study, we observed that the circulating levels of miR-126 and miR-155 were also significantly reduced in post-HD patients, but did not significantly differ between pre-HD and post-HD, suggesting that the slight changes of plasma miR-155 and miR-126 between pre-HD and post-HD might be associated with the responsiveness to hemodialysis, or heparin anticoagulation may potentially interfere with the RT-qPCR-based assay. Nevertheless, further studies are required for the validation and extension of these results. We also found that circulating miR-155 and miR-126 levels correlated positively with eGFR and hemoglobin but were inversely correlated with phosphate levels. This finding suggested that the reduction of circulating miR-126 and miR-155 might be accompanied by a series of clinical symptoms. Although preliminary, our results showed that the two miRNAs can be considered as candidate peripheral markers that may enable the prediction of ESRD progression. Our study specifically addressed the levels and regulation of inflammation-associated and endothelial-derived miRNAs. Although altered levels of miR-126 and miR-155 in patients with ESRD did not significantly differ between pre-HD and post-HD patients, miR-126 and miR-155 deserve special consideration as novel biomarkers for risk estimation and classification. Meanwhile, we need to validate these data in large clinical populations. Furthermore, the effect of drug treatment on circulating miR-126 and miR-155 levels remains to be studied. However, the findings of the current study do allow us to propose that circulating miR-126 and miR-155 levels may be of clinical importance in ESRD.
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