Literature DB >> 32922944

Cell-free microRNA-21: biomarker for intracranial aneurysm rupture.

Hengwei Jin1, Yuhua Jiang1, Xinke Liu1, Xiangyu Meng1, Youxiang Li1.   

Abstract

BACKGROUND: Deregulation of miRNA-21 expression has been reported to be associated with vascular smooth muscle behavior and cytoskeletal stability. This study is aimed to investigate the density of serum miRNA-21 in patients with different phases of intracranial aneurysms (IAs) and explore its warning function for IA rupture.
METHODS: A total of 16 in 200 IA patients were selected and categorized into 4 groups based on the phase of IA. Microarray study was carried out using serum miRNA and differentially expressed miRNAs were identified. Another 24 samples from a cohort of 360 patients were added and real-time polymerase chain reaction (RT-PCR) was performed on expanded sample size (n = 40) for miRNA-21 validation. Potential gene targets of miRNA-21 were screened out from Gene Ontology (GO) database and literatures.
RESULTS: Microarray study identified 77 miRNAs with significantly different expression levels between experimental groups and the control group. RT-PCR assays validated significant downregulation of miRNA-21 in experimental groups, among which miRNA-21 expression level of daughter aneurysm group decreased the most. Bioinformatic analyses revealed that several target genes related with miRNA-21 may be involved in IA formation and rupture.
CONCLUSIONS: This study suggested that miRNA-21 had a protective effect for intracranial vascular wall against remodeling and warning function for intracranial aneurysm rupture. Significant suppression of serum miRNA-21 in IA patients may provide diagnostic clues for aneurysm rupture and guide clinical intervention.
© The Author(s) 2020.

Entities:  

Keywords:  Daughter aneurysm; Intracranial aneurysm; Serum miRNA-21; Vascular wall remodeling

Year:  2020        PMID: 32922944      PMCID: PMC7398332          DOI: 10.1186/s41016-020-00195-0

Source DB:  PubMed          Journal:  Chin Neurosurg J        ISSN: 2057-4967


Background

Pathological changes of intracranial aneurysm (IA) include vascular smooth muscle cells (VSMC) apoptosis, matrix degradation, inflammation, and oxidation in the artery wall [1]. However, the biological mechanism of IA process is still unknown. To date, there is no biomarker to monitor the state of imminent rupture, which is the most dangerous state. Daughter aneurysms are focal bulges located at the original IA wall [2]. It is an indicator of the aneurysm rupture. Previous study showed that 57% of ruptured IA had daughter aneurysms, whereas daughter aneurysms were only found in 16% of unruptured IA [3]. MicroRNA (miRNA) is a highly conserved small non-coding single-stranded RNA (20–26 nucleotides in length). It regulates genetic transcription and translation via inhibition or messenger RNA degradation [4]. More than 940 human miRNAs have been recorded [5] and miRNAs have been suggested to regulate about 30% of encoding genes [6] at a post-transcriptional level. One miRNA is capable of targeting several mRNAs and one mRNA may contain several miRNA sites [7]. Phase-specific and tissue-specific are important characteristics of miRNAs. miRNA can resist repeated freeze and thaw cycles and could be tested in serum [8], which makes them attractive biomarkers for various diseases [9]. Deregulation of miRNA-21 expression was reported to be associated with vascular smooth muscle behavior and cytoskeletal stability through regulating tropomyosin- 1[10]. Researchers also revealed that miRNA-21 expressions are different between abdominal aortic aneurysm patients and normal controls [11]. However, no research has proved that miRNA-21 expression level is correlated with IA. In the current study, we investigated the level of serum miRNA-21 in patients with IA of different phases, focusing our attention on aneurysm of high rupture risk. A microarray screening study was followed by validation of miRNA-21 with real-time polymerase chain reaction (RT-PCR). Bioinformatic analyses were carried out to predict target genes of miRNA-21.

Methods

Sample acquisition

The study was approved by the Ethics Committee of our institution and performed in accordance with the principles of the Declaration of Helsinki. All the patients signed written informed consent. In the first step, we selected 16 from 200 IA patients at our department from January to June 2015. All the patients were screening out based on strict criteria (no cerebrovascular disease history such as stenosis and occlusion; no other circulatory system diseases history such as hypertension and cardiac diseases, etc.; no hematologic system disorders, diabetes, and tumor). As was illustrated in Table 1, we divided them into four groups (A-Mi, B-Mi, C-Mi, and D-Mi). A was angiography negative group (control group), B was aneurysm without daughter aneurysm group (relatively low-rupture risk group), C was aneurysm with daughter aneurysm group (relatively high-rupture risk group), and D was ruptured aneurysm group that could be proved by CT (Fig. 1). Microarray study was carried with serum miRNA of these 16 patients.
Table 1

General information of all samples

GroupnGenderAge (years ± SD)
A-Mi42 M, 2 F42.3 ± 6.9
B-Mi42 M, 2 F41.2 ± 8.6
C-Mi42 M, 2 F48.6 ± 9.8
D-Mi42 M, 2 F46.0 ± 7.5
A-PCR105 M, 5 F47.3 ± 8.2
B-PCR105 M, 5 F43.4 ± 7.6
C-PCR105 M, 5 F43.7 ± 8.1
D-PCR105 M, 5 F45.4 ± 9.3

Mi microarray study, PCR real-time polymerase chain reaction, M male, F female, A angiography negative group (control group), B aneurysm without daughter aneurysm group (low-rupture risk group), C aneurysm with daughter aneurysm group (high-rupture risk group), D ruptured aneurysm group that could be proved by CT. Data are mean ± SD

Fig. 1

Diagram of 4 groups. a Angiography negative group (control group). b Aneurysm without daughter aneurysm group (relatively low-rupture risk group). c Aneurysm with daughter aneurysm group (relatively high-rupture risk group). d Ruptured aneurysm group

General information of all samples Mi microarray study, PCR real-time polymerase chain reaction, M male, F female, A angiography negative group (control group), B aneurysm without daughter aneurysm group (low-rupture risk group), C aneurysm with daughter aneurysm group (high-rupture risk group), D ruptured aneurysm group that could be proved by CT. Data are mean ± SD Diagram of 4 groups. a Angiography negative group (control group). b Aneurysm without daughter aneurysm group (relatively low-rupture risk group). c Aneurysm with daughter aneurysm group (relatively high-rupture risk group). d Ruptured aneurysm group In order to validate the expression difference of miRNA-21, we added the sample size with the other 24 samples selected under the same screening criteria from 360 patients from July to December 2015 (Table 1: A-PCR, B-PCR, C-PCR, and D-PCR). RT-PCR was carried out on the 40 samples. Aneurysms of these patients are located at the internal carotid artery (n = 16, 40.0%), posterior communicating artery (n = 10, 25.0%), anterior communicating artery (n = 9, 22.5%), and posterior circulation (n = 5, 12.5%). The size of the aneurysm ranges from 1.0 to 30.0 mm.

MicroRNA isolation

Blood samples were collected in the morning, no drug interference and intravenous transfusion before operation. Blood samples (2 ml) of the peripheral vein were collected using EDTA tubes. Blood samples were centrifuged at 1200 g for 15 min immediately after collection. Supernatants were transferred into micro-centrifuge tubes. Second centrifugation was performed at 12,000×g for 10 min at 48 °C. Serum was collected and stored at − 75 °C for use. Total miRNAs were extracted from serum using mir-VanaTMRNA Isolation Kit (Applied Biosystems, USA). Qualities of miRNAs were assessed using NanoDrop 2000 spectrophotometer. One hundred nanograms of miRNA was taken and added to 2 μm with nuclease-free water for further analysis.

Microarray study

miRNAs were labeled with miRNA Complete Labeling and Hybridization Kit (Agilent, USA) and hybridized at Human miRNA Microarray Kit (Release 16.0, Agilent, USA), which contained 60,000 probes for 144 human viral and 1205 human miRNAs. Microarray Scanner (Agilent, USA) was used to detect hybridization signals. Feature Extraction Software (Agilent, USA) was used for image analysis. Principal component analysis (PCA) and percentile normalization were performed using Gene spring 12.0. Cluster 3.0 was used for Cluster analysis and differentially expressed miRNAs were screened out.

MicroRNA-21 expression analysis by quantitative RT-PCR

miRNA-21 was validated by RT-PCR and the small non-coding miRNA-16 was internal control. Primer sequence of miRNA-16 and miRNA-21 were 5′-TAGCAGCACGTAAATATTGGCG-3′ and 5′-TAGCTTATCAGACTGATGTTGA-3′. The reverse transcription was performed for miRNA-21 and miRNA-16 using the miScript II Reverse Transcription Kit (Qiagen, article number 218161). The reverse transcription products were used for the TaqMan real-time PCR reaction with Super Real PreMix (SYBR Green, Tiagen, article number FP205). RT-PCR was performed using the Applied Biosystems 9700 RT-PCR system. The PCR conditions were 95 °C for 15 min, and then 10 s at 95 °C, and 30 s at 60 °C for 40 cycles.

Bioinformatic analyses

Gene Ontology (GO) database was used to predict genes related to miRNA-21. Network was generated to reveal high-level, summarized views of predicted target genes from the GO database and literatures.

Statistical analysis

SPSS 18.0 is used for data analysis. The expression difference of miRNAs between groups is analyzed by one-way ANOVA and Dunnett’s multiple comparison test. P < 0.05 is regarded as statistical significance.

Results

A total of 77 miRNAs are statistically different (p < 0.05) as revealed in Table 2. The expression level of the same miRNA is different among different groups. For example, miRNA-21, miRNA-425, miRNA-27a, miRNA-29a, etc. are downregulated in group C, while upregulated in group B and D. Only a few miRNAs (miR-3679-5p, miR-4271, miR-494, miR-3162, miR-486, miR-92a, miR-765, miR-4298, miR-4327, and miR-940) are upregulated in group C, while upregulated miRNAs account for a large proportion in group B and D. Compared with the control group, the P value of miRNA-21 is 0.027 and fold change (FC) of group B, C, and D are 1.51, − 2.31, and 1.25, respectively.
Table 2

Differentially expressed miRNAs (p < 0.05) screened out in microarray study

miRNApFC (B/A)RFC (C/A)RFC (D/A)R
1hsa-miR-31980.000− 10.41Down− 8.81Down− 10.18Down
2hsa-miR-43140.000− 18.91Down− 16.00Down− 18.48Down
3hsa-miR-4250.0001.02Up− 59.68Down1.07Up
4hsa-miR-148b0.0002.49Up− 7.22Down3.21Up
5hsa-miR-27a0.0001.10Up− 149.85Down1.23Up
6hsa-miR-140-3p0.0001.05Up− 24.44Down− 1.03Down
7hsa-miR-1010.0002.51Up− 15.00Down1.77Up
8hsa-miR-550a0.000− 1.86Down− 1.57Down− 1.81Down
9hsa-miR-148a0.0001.74Up− 41.09Down− 1.24Down
10hsa-miR-151-5p0.0001.24Up− 27.05Down1.13Up
11hsa-miR-43220.000− 3.53Down− 1.98Down− 3.44Down
12hsa-miR-42860.000− 2.02Down− 1.71Down− 1.10Down
13hsa-miR-39450.000− 7.44Down− 6.29Down− 7.27Down
14hsa-miR-31310.000− 9.32Down− 7.89Down− 9.10Down
15hsa-miR-9360.000− 4.34Down− 17.62Down− 20.36Down
16hsa-miR-654-5p0.000− 1.74Down− 1.48Down− 1.70Down
17hsa-miR-516b0.000− 2.33Down− 1.97Down− 2.28Down
18hsa-miR-139-3p0.000− 2.62Down− 2.95Down− 3.41Down
19hsa-miR-42530.000− 4.70Down− 9.40Down− 10.86Down
20hsa-miR-516a-5p0.000− 3.65Down− 4.08Down− 4.71Down
21hsa-miR-23b0.0001.10Up− 17.34Down− 1.93Down
22hsa-miR-140-5p0.000− 2.64Down− 44.00Down− 1.05Down
23hsa-miR-3630.0001.54Up− 16.54Down− 2.20Down
24hsa-miR-3679-5p0.0001.00Up1.91Up1.36Up
25hsa-miR-19a0.0001.21Up− 52.68Down1.14Up
26hsa-miR-342-3p0.000− 1.40Down− 27.97Down− 3.55Down
27hsa-miR-199a-5p0.0013.64Up− 1.89Down9.24Up
28hsa-miR-27b0.0013.27Up− 13.00Down− 1.10Down
29hsa-miR-130b0.0013.23Up− 5.25Down2.75Up
30hsa-miR-199a-3p0.002− 1.09Down− 42.84Down1.18Up
31hsa-miR-2020.003− 2.31Down− 28.26Down− 1.57Down
32hsa-miR-29a0.0041.43Up− 24.44Down1.07Up
33hsa-miR-31940.005− 1.95Down− 28.97Down− 16.38Down
34hsa-miR-338-3p0.0051.11Up− 6.21Down2.57Up
35hsa-miR-187*0005− 2.60Down− 7.60Down− 8.78Down
36hsa-miR-42710.005− 1.35Down1.46Up− 1.16Down
37hsa-miR-548q0.006− 5.43Down− 22.20Down− 16.55Down
38hsa-miR-1914*0.006− 19.0Down− 29.14Down− 6.34Down
39hsa-miR-2210.0081.24Up− 10.62Down1.40Up
40hsa-miR-29b0.0084.18Up− 2.41Down− 1.33Down
41hsa-miR-26b0.008− 1.09Down− 50.92Down− 1.58Down
42hsa-miR-4940.008− 1.79Down5.18Up− 1.83Down
43hsa-miR-31620.008− 1.26Down1.39Up− 1.00Down
44hsa-miR-29c0.0092.01Up− 17.16Down1.63Up
45hsa-miR-1860.0091.49Up− 6.31Down− 2.08Down
46hsa-miR-1070.0111.25Up− 21.56Down1.07Up
47hsa-miR-1500.011− 2.59Down− 48.16Down− 11.70Down
48hsa-miR-1226*0.011− 5.79Down− 18.30Down− 6.71Down
49hsa-miR-12460.013− 2.39Down− 74.43Down− 2.40Down
50hsa-miR-30b00141.23Up− 6.65Down1.20Up
51hsa-miR-486-5p0.0141.28Up2.81Up1.10Up
52hsa-miR-30c0.0152.62Up− 4.79Down− 1.20Down
53hsa-miR-92a0.0161.29Up1.90Up1.13Up
54hsa-miR-12900.017− 2.82Down− 24.13Down− 2.55Down
55hsv1-miR-H170.017− 1.72Down− 2.01Down− 1.64Down
56hsa-miR-1260.0181.39Up− 22.40Down1.26Up
57hsa-miR-1850.0191.76Up− 12.72Down1.77Up
58hsa-miR-12680.019− 1.55Down− 1.35Down− 1.26Down
59hsa-miR-7650.022− 1.42Down1.46Up− 1.14Down
60hsa-miR-42980.022− 1.41Down1.06Up1.10Up
61hsa-miR-14710.022− 26.60Down− 7.22Down− 9.89Down
62hsa-miR-324-3p0.0241.66Up− 4.00Down− 1.42Down
63hsa-miR-130a0.0252.40Up− 7.23Down2.36Up
64hsa-miR-210.0271.51Up− 2.31Down1.25Up
65hsa-miR-4510.0271.29Up− 6.10Down1.02Up
66hsa-miR-20b0.0281.50Up− 11.22Down− 1.11Down
67hsa-miR-28610.032− 1.35Down− 1.06Down− 1.42Down
68hsa-miR-170.0371.56Up− 8.64Down1.31Up
69hsa-miR-43270.038− 2.00Down1.41Up− 1.51Down
70hsa-miR-39370.041− 1.22Down− 8.01Down− 1.21Down
71hsa-miR-1260b0..046− 1.50Down− 1.68Down− 1.95Down
72hsa-miR-30e0.0462.08Up− 7.18Down1.41Up
73hsa-miR-9400.0461.49Up4.47Up1.18Up
74hsa-miR-23a0.048− 1.01Down− 13.94Down− 1.10Down
75hsa-miR-4840.049− 2.27Down− 4.47Down− 3.27Down
76hsa-miR-19b0.0501.34Up− 3.20Down1.21Up
77hsa-miR-1224-5p0.050− 5.80Down− 11.82Down1.13Up

p significant p value, FC absolute value of fold change, R regulation, up means upregulated compared with the control group and down means downregulated. *Low expression. It is a symbol based on naming rule of miRNA. As is revealed, 77 out of all the miRNAs probes have a significantly different expression level

Differentially expressed miRNAs (p < 0.05) screened out in microarray study p significant p value, FC absolute value of fold change, R regulation, up means upregulated compared with the control group and down means downregulated. *Low expression. It is a symbol based on naming rule of miRNA. As is revealed, 77 out of all the miRNAs probes have a significantly different expression level

PCA analysis

As illustrated in Fig. 2, patients from the same group are labeled the same color [red, control group (A); dark red, aneurysm without daughter aneurysm group (B); blue, aneurysm with daughter aneurysm group (C); gray, ruptured aneurysm group (D)]. miRNA level varies among groups judged by the distribution of squares, especially between groups A and C.
Fig. 2

Principal component analysis (PCA). Red, control group; dark red, aneurysm without daughter aneurysm group; blue, aneurysm with daughter aneurysm group; gray, ruptured aneurysm group. The distribution of squares illustrates that miRNAs expression are various among different groups

Principal component analysis (PCA). Red, control group; dark red, aneurysm without daughter aneurysm group; blue, aneurysm with daughter aneurysm group; gray, ruptured aneurysm group. The distribution of squares illustrates that miRNAs expression are various among different groups

Cluster analysis

C2-S, C3-S, C5-S, and C6-S are 4 samples of group A; 16S-l, 71S-l, 89S-l, and 52S-l are group B; 212S-h, 243S-h, 258S-h, and 161S-h are group C; and 152S-r, 57S-r, 235S-r, and 99S-r are group D (Fig. 3). Green stands for downregulation and red stand for upregulation. miRNAs are differentially expressed among different groups. Compared with group A, miRNA-21(dark arrow) of group B and D is upregulated (red), while group C is downregulated (green).
Fig. 3

Cluster analysis. C2, C3, C5, and C6 are 4 samples of the control group (A). 16S-l, 71S-l, 89S-l, and 52S-l are low-risk group (B). 212S-h, 243S-h, 258S-h, and 161S-h are high-risk group (C). 152S-r, 57S-r, 235S-r, and 99S-r are ruptured group (D). Green stands for downregulated and red upregulated. Compared with group A, miRNA-21 (dark arrow) of group B and D is upregulated (red), while miRNA-21 of group C is downregulated (green)

Cluster analysis. C2, C3, C5, and C6 are 4 samples of the control group (A). 16S-l, 71S-l, 89S-l, and 52S-l are low-risk group (B). 212S-h, 243S-h, 258S-h, and 161S-h are high-risk group (C). 152S-r, 57S-r, 235S-r, and 99S-r are ruptured group (D). Green stands for downregulated and red upregulated. Compared with group A, miRNA-21 (dark arrow) of group B and D is upregulated (red), while miRNA-21 of group C is downregulated (green) Relative expression levels of miRNA-21 of 40 samples are listed in Table 3. S1–10 are 10 samples of group A, B, C, and D. Mean expression level of miRNA-21 of four groups are 1.0000, 0.7150, 0.3638, and 0.4372, respectively. p value is 0.021. Statistical analysis shows statistical difference between group A and group C (p = 0.005), and group A and group D (p = 0.013). Histogram demonstrates that the variation tendency of miRNA-21 expression levels among different groups (Fig. 4). X-axis means groups A, B, C, and D, and Y-axis is relative expression level. Compared with A, the levels of the other 3 groups are all downregulated. No statistical correlation between miRNA-21 level and aneurysm size (R2 = 0.056) is found.
Table 3

Relative expression level of miRNA-21 in RT-PCR

ABCD
S10.27212.16700.23740.2011
S20.95860.25270.26040.2205
S32.20740.41920.46190.3966
S41.15590.82490.23640.6109
S50.59830.32970.59420.6025
S60.56340.10190.25450.2629
S72.12731.29450.35010.7521
S80.81360.50310.27090.3413
S91.09610.74520.71150.6252
S100.20720.51130.26100.3591
Mean expression1.00000.71500.36380.4372

S1–S1010 samples of each group, A control group, B aneurysm without daughter aneurysm group, C aneurysm with daughter aneurysm group, D ruptured aneurysm group. p value is 0.021. Mean relatively expression levels of four groups are 1.0000, 0.7150, 0.3638, and 0.4372 from A to D, indicating that miRNA-21 of 3 experimental groups are downregulated

Fig. 4

Histogram of qRT-PCR results. X-axis represents groups and Y-axis represents the relative expression level of miRNA-21. As shown in the figure, compared with the control group, miRNA-21 expression of three experimental groups are downregulated

Relative expression level of miRNA-21 in RT-PCR S1–S1010 samples of each group, A control group, B aneurysm without daughter aneurysm group, C aneurysm with daughter aneurysm group, D ruptured aneurysm group. p value is 0.021. Mean relatively expression levels of four groups are 1.0000, 0.7150, 0.3638, and 0.4372 from A to D, indicating that miRNA-21 of 3 experimental groups are downregulated Histogram of qRT-PCR results. X-axis represents groups and Y-axis represents the relative expression level of miRNA-21. As shown in the figure, compared with the control group, miRNA-21 expression of three experimental groups are downregulated miRNA-21 target gene analysis was performed using target prediction GO database. A total of 26 genes are closely related with miRNA-21 (Fig. 5). miRNA-223, miRNA-320, miRNA-15b, miRNA-93, miRNA-106b, miRNA-427, and miRNA-939 have some interactions in the regulation of target genes with miRNA-21.
Fig. 5

Bioinformatic analysis using Gene Oncology database. As exhibited in the figure, 26 genes and 7 miRNAs are closely related with miRNA-21. Vascular endothelial growth factor C (VEGFC) is directly related with the activity of vascular wall

Bioinformatic analysis using Gene Oncology database. As exhibited in the figure, 26 genes and 7 miRNAs are closely related with miRNA-21. Vascular endothelial growth factor C (VEGFC) is directly related with the activity of vascular wall

Discussion

miRNA-21 is one of the most commonly and markedly regulation factor in several cardiovascular disorders and cancers [12]. Expression of miRNA-21 is changed in many vascular diseases. Take the peripheral arterial system as an example, level of miRNA-21 is upregulated following acute vascular injury, and inhibition of miRNA-21 leads to reduced neointima formation [9]. Moreover, miRNA-21 has been verified the function of regulating the activity of vascular muscle cells and signature in human abdominal aortic aneurysms [13]. These results suggest that dynamic changes in miRNA-21 expression level probably occur during aneurysm progression and rupture. However, no study has proved whether miRNA-21 is related with IA. In the effort to probe the relationship between miRNA-21 and IA, we examined the serum miRNA density through microarray study and qRT-PCR. The current study showed that miRNA-21 expression is downregulated in experimental groups and decreases the most in aneurysm with daughter aneurysm group. Daughter aneurysm is recognized as a high-risk factor of IA rupture [14], which is the most serious outcome of this disease. So daughter aneurysm is separated as an independent group and visualized as an important part of IA development. This is crucial for diagnosis of imminent rupture of aneurysm and guidance of clinical intervention. This mode of grouping will undoubtedly lead us to pay much attention on imminent rupture of IA. Correlation analysis shows no statistical significance between miRNA-21 expression level and aneurysm size. This agrees with clinical experiments that the rupture risk of aneurysm does not increase with the increase of size. Contradictorily, researchers proved that aneurysms of relatively smaller diameter had a higher risk of rupture than larger aneurysms [15, 16]. It is worth noting that the difference between groups A and C is greater, while the difference between A, and B and D is relatively smaller. This may probably imply that a significant low expression level of miRNA-21 has a warning function for aneurysm rupture. Clustering analysis revealed that compared with group A, the expression of miRNA-21 is upregulated in group B and D (red), while downregulated in group C (green). The whole progress of aneurysm is a dynamic process. Control group stands for normal expression level of miRNA-21; that of group B is downregulated to a relatively low extent. Then, with the progress of aneurysm development, expression level of miRNA-21 in group C becomes even lower. After the rupture of an aneurysm, the expression of miRNA-21 rises up. Since group C is a relatively high-rupture risk group and miRNA-21 expression of this group is extremely low, the hypothesis could be developed that miRNA-21 could have a protective effect for vascular wall and warning function for aneurysm rupture. When the body received the impact of internal or external stimulus, miRNA-21 expression level becomes downregulated. As a result, its protection for vascular wall becomes weaker and aneurysm forms as a consequence of vascular remolding. If the stimulus lasts long enough, miRNA-21 expression will continue to fall, and daughter aneurysm formation and aneurysm rupture risk will increase. Expression of miRNA-21 rising up again after rupture may be because of some protective feedback mechanism activation in the body or removal of stimulus. The biggest suppression of miRNA-21 in group C deserves our attention because this may provide diagnostic and therapeutic clues for aneurysm rupture. During the whole process of this rigorous study, the result of the first part (microarray) is not totally consistent with that of the second part (RT-PCR). Compared with the control group, microRNA-21 expression of groups B and D is upregulated in microarray study, while that of RT-PCR is downregulated. This may result in selection bias or small sample size. Since quantitative method (PCR) is more accurate than qualitative method (microarray). And sample size is bigger in PCR. So the authors are more inclined to the result of RT-PCR. In all, 26 target genes that are closely related with miRNA-21 were screened out using the GO database. Vascular endothelial growth factor C (VEGFC) is directly related with the activity of vascular wall from GO analysis. In addition, miRNA-21 may regulate vascular smooth muscle activity via other targets such as phosphatase and tensin homolog protein (PTEN), Bcl-2, and PDCD-4 (Fig. 6). Low expression of miRNA-21 increased the expression of PTEN, leading to decreased phosphorylation and activation of AKT, a part of an anti-apoptotic and pro-proliferative pathway to limit IA expansion and vascular disorder progress [17]. Programmed cell death 4 (PDCD4) is a target gene of microRNA-21. In the serum deprivation apoptotic model, overexpression of PDCD4 increases vascular smooth muscle cell (VSMC) apoptosis. In contrast, VSMC apoptosis is obviously decreased by knock-down of PDCD4 [18]. Activator protein 1 (AP-1) is a downstream molecule of PDCD4 that is associated with VSMC apoptosis. miRNA-21 inhibition decreases and overexpression increases B cell lymphoma 2 (Bcl-2) expressions [9]. Although the molecular mechanism is unclear, the results suggest that low expression of Bcl-2 mediated by miRNA-21 leads to increase of vascular muscle cell apoptosis. Moreover, Wang et al. articulated that miRNA-21 was located in arterial smooth muscle cell (ASMC) and regulated VSMC migration and proliferation migration via targeting tropomyosin 1 (TPM1) [13]. This implies complex regulation of miRNA in the VSMC compartment in reaction to pathological stimulation. miRNA-21 expression is increased in fibroblasts of heart failure, activating ERK-MAP kinase through inhibition of sprouty homologue 1 (Spry1). Fibroblast survival and growth factor secretion are regulated through this mechanism [19].
Fig. 6

Schematic of miRNA-21 regulation of vascular activity. PTEN, phosphatase and tensin homolog protein; SMC, vascular smooth muscle cell; PDCD4, programmed cell death 4; Bcl-2, B cell lymphoma 2; AKT, serine/threonine protein kinase; Spry1, sprouty homologue 1; MMPs, matrix metalloproteinase. TIMPs, Tissue Inhibitor of Metalloproteinase. As is revealed, downregulation of miRNA-21 resulted from stimulus may lead to increase of SMC apoptosis, decrease of EMC formation, and increase of degradation

Schematic of miRNA-21 regulation of vascular activity. PTEN, phosphatase and tensin homolog protein; SMC, vascular smooth muscle cell; PDCD4, programmed cell death 4; Bcl-2, B cell lymphoma 2; AKT, serine/threonine protein kinase; Spry1, sprouty homologue 1; MMPs, matrix metalloproteinase. TIMPs, Tissue Inhibitor of Metalloproteinase. As is revealed, downregulation of miRNA-21 resulted from stimulus may lead to increase of SMC apoptosis, decrease of EMC formation, and increase of degradation In addition to ASMC apoptosis, decreased formation and/or increased degradation of extracellular matrix (ECM) are also believed to be key pathophysiological processes leading to aneurysm formation and rupture [20]. The process of IA development involves dysregulation of ECM synthesis, deposition, and remodeling. The role of ECM dysregulation in IA formation is acknowledged; the upstream signaling pathways that initiate the process are still unknown. Studies showed that enhanced matrix metalloproteinase (MMPs) production promotes abdominal aneurysm formation by increasing ECM destruction. MMPs are mainly secreted by leukocytes. MMP-2 and -9 are involved in proteolytic degradation of the ECM. MMP-2 can degrade both collagen and elastin [21], while Tissue Inhibitor of Metalloproteinase (TIMPs) regulates the activity of MMPs by forming complexes with them. It is likely that an imbalance between MMP and TIMP leads to ECM formation decrease and degradation increase. This leads to aneurysm formation, progression, and rupture [22]. Previous studies have proved that miRNA-21 protects vascular via inhibition of vascular wall remodeling. This is consistent with the result of this study. When the expression of miRNA-21 decreases, its protective efficiency declines and an aneurysm is formed as a result of wall remodeling. The lower the expression level of miRNA-21 is, the higher the risk of daughter aneurysm formation and aneurysm rupture will be. Even though the specific quantity remains unknown, this study shows warning function for IA rupture. The study had some limitations. There is some bias because the sample size is small. For example, the result of microarray study is not coinciding exactly with that of RT-PCR. The classification of the high-rupture risk group is lacking specific criteria. In addition, there are some limitations using serum miRNA as biomarkers. Moreover, the result and hypothesis of this study were not validated with protein analysis. Much effort is needed before the protective effect and warning function of miRNA-21 could be used in diagnostic and therapeutic applications in IA rupture.

Conclusions

This study suggested that miRNA-21 may have had a protective effect for intracranial vascular wall against remodeling and warning function for intracranial aneurysm rupture. Significant suppression of serum miRNA-21 in IA patients may provide diagnostic clues for aneurysm rupture and guide clinical intervention.
  22 in total

1.  Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets.

Authors:  Benjamin P Lewis; Christopher B Burge; David P Bartel
Journal:  Cell       Date:  2005-01-14       Impact factor: 41.582

2.  The role of microRNA genes in papillary thyroid carcinoma.

Authors:  Huiling He; Krystian Jazdzewski; Wei Li; Sandya Liyanarachchi; Rebecca Nagy; Stefano Volinia; George A Calin; Chang-Gong Liu; Kaarle Franssila; Saul Suster; Richard T Kloos; Carlo M Croce; Albert de la Chapelle
Journal:  Proc Natl Acad Sci U S A       Date:  2005-12-19       Impact factor: 11.205

3.  Selective microRNA suppression in human thoracic aneurysms: relationship of miR-29a to aortic size and proteolytic induction.

Authors:  Jeffrey A Jones; Robert E Stroud; Elizabeth C O'Quinn; Laurel E Black; Jeremy L Barth; John A Elefteriades; Joseph E Bavaria; Joseph H Gorman; Robert C Gorman; Francis G Spinale; John S Ikonomidis
Journal:  Circ Cardiovasc Genet       Date:  2011-10-18

4.  An essential role of PDCD4 in vascular smooth muscle cell apoptosis and proliferation: implications for vascular disease.

Authors:  Xiaojun Liu; Yunhui Cheng; Jian Yang; Thomas J Krall; Yuqing Huo; Chunxiang Zhang
Journal:  Am J Physiol Cell Physiol       Date:  2010-03-31       Impact factor: 4.249

5.  Hemodynamic analysis of intracranial aneurysms with daughter blebs.

Authors:  Ying Zhang; Shiqing Mu; Jialiang Chen; Shengzhang Wang; Haiyun Li; Hongyu Yu; Fan Jiang; Xinjian Yang
Journal:  Eur Neurol       Date:  2011-11-29       Impact factor: 1.710

6.  MicroRNA-29 in aortic dilation: implications for aneurysm formation.

Authors:  Reinier A Boon; Timon Seeger; Susanne Heydt; Ariane Fischer; Eduard Hergenreider; Anton J G Horrevoets; Manlio Vinciguerra; Nadia Rosenthal; Sergio Sciacca; Michele Pilato; Paula van Heijningen; Jeroen Essers; Ralf P Brandes; Andreas M Zeiher; Stefanie Dimmeler
Journal:  Circ Res       Date:  2011-09-08       Impact factor: 17.367

7.  MicroRNA-21 blocks abdominal aortic aneurysm development and nicotine-augmented expansion.

Authors:  Lars Maegdefessel; Junya Azuma; Ryuji Toh; Alicia Deng; Denis R Merk; Azad Raiesdana; Nicholas J Leeper; Uwe Raaz; Anke M Schoelmerich; Michael V McConnell; Ronald L Dalman; Joshua M Spin; Philip S Tsao
Journal:  Sci Transl Med       Date:  2012-02-22       Impact factor: 17.956

8.  MicroRNA-21 contributes to myocardial disease by stimulating MAP kinase signalling in fibroblasts.

Authors:  Thomas Thum; Carina Gross; Jan Fiedler; Thomas Fischer; Stephan Kissler; Markus Bussen; Paolo Galuppo; Steffen Just; Wolfgang Rottbauer; Stefan Frantz; Mirco Castoldi; Jürgen Soutschek; Victor Koteliansky; Andreas Rosenwald; M Albert Basson; Jonathan D Licht; John T R Pena; Sara H Rouhanifard; Martina U Muckenthaler; Thomas Tuschl; Gail R Martin; Johann Bauersachs; Stefan Engelhardt
Journal:  Nature       Date:  2008-11-30       Impact factor: 49.962

9.  Circulating microRNAs, potential biomarkers for drug-induced liver injury.

Authors:  Kai Wang; Shile Zhang; Bruz Marzolf; Pamela Troisch; Amy Brightman; Zhiyuan Hu; Leroy E Hood; David J Galas
Journal:  Proc Natl Acad Sci U S A       Date:  2009-02-25       Impact factor: 11.205

10.  Trigger factors for rupture of intracranial aneurysms in relation to patient and aneurysm characteristics.

Authors:  Monique H M Vlak; Gabriel J E Rinkel; Paut Greebe; Johanna G van der Bom; Ale Algra
Journal:  J Neurol       Date:  2011-12-21       Impact factor: 4.849

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