| Literature DB >> 23070235 |
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.Entities:
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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
Baseline clinical data of the subjects.
| End-stage renal disease (N = 30) | Healthy controls (N = 20) | |
|---|---|---|
| Age (years) | 52.17 ± 11.73 | 49.25 ± 11.25 |
| Males | 73% | 60% |
| Chronic glomerulonephritis | 100% | - |
| Blood pressure | ||
| Systolic (mmHg) | 144 ± 15.62 | 125 ± 10 |
| Diastolic (mmHg) | 87 ± 10.5 | 84 ± 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 ± 0.38 | 2.31 ± 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).
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).
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.