Literature DB >> 35018114

Expression and Clinical Value of miR-185 and miR-424 in Patients with Acute Ischemic Stroke.

Chunxuan Guo1, Yanping Yao2, Qi Li1, Yuanjie Gao1, Hongyan Cao3.   

Abstract

BACKGROUND: To investigate the expression of serum miR-185 and miR-424 in patients with acute ischemic stroke (AIS) and their predictive value. A total of 142 patients with AIS and 50 healthy controls were enrolled.
METHODS: According to the modified Rankin scale (mRS) score, AIS patients were divided into the good prognosis group and the poor prognosis group. Based on the National Institutes of Health Stroke Scale (NIHSS) score, AIS patients were divided into the mild group, the moderate group, and the severe group. RT-qPCR was used to determine the expression. ROC curve and Pearson correlation analysis were adopted to predict poor prognosis and analyze the correlation between the expression and NIHSS, mRS score.
RESULTS: Compared with the control group, the expression of miR-185 and miR-424 in the AIS group was significantly higher (P<0.01). Similarly, significantly higher expressions could be found in the poor prognosis group and the severe group (P<0.01). The ROC curve revealed that the optimal cut-off values were 2.14 and 4.08, respectively. The area under the ROC curve (0.928, 95% CI: 0.870-0.993) was the largest, with sensitivity and specificity of 92.0% and 85.7%. Pearson correlation analysis showed that their expression was positively correlated with NIHSS score and mRS score in AIS patients (r=0.735, 0.802, 0.796, 0.873, P<0.01).
CONCLUSION: There are two factors related to the up-regulated expression of serum miR-185 and miR-424, one is the severity degree of neurological impairment of patients with AIS and the other is their prognosis. These two combined indicators can contribute to predicting the prognosis of AIS patients.
© 2022 Guo et al.

Entities:  

Keywords:  acute ischemic stroke; miR-185; miR-424; prognostic evaluation

Year:  2022        PMID: 35018114      PMCID: PMC8742602          DOI: 10.2147/IJGM.S340586

Source DB:  PubMed          Journal:  Int J Gen Med        ISSN: 1178-7074


Introduction

Acute ischemic stroke (AIS) is a dangerous cerebrovascular disease that brings nonreversible damage to our brain.1 It brings great mental stress and economic burden on patients and their families, especially the middle-aged and elder people.2–4 AIS is always recurrent and a very complex disease.5 Therefore, finding a helpful biomarker for AIS prognosis is of great importance. microRNA (miRNA), a new type of gene regulation molecule, participates in the occurrence and development of stroke by regulating gene expression, and is expected to serve as a potential biomarker of AIS.6 Recent studies have found that miR-185 and miR-424 are involved in initiating a series of complex pathophysiological processes of stroke.7–10 They play a vital role in the damage of atherosclerotic plaque, neuronal destruction and repair, and local inflammation in the lesion.11,12 However, further exploration is still needed, since the mechanisms and potential therapeutic effects of miR-185 and miR-424 in AIS are not clear. Therefore, in this study, the expression of serum miR-185 and miR-424 in patients with AIS was detected, and the predictive value of miR-185 and miR-424 in patients with AIS was analyzed, to provide a reference for the early treatment of patients with AIS.

Materials and Methods

Study Population

One hundred and forty-two patients with AIS admitted to People’s Hospital of Danzhou from January 1, 2019 to July 31, 2021 were enrolled, including 97 males and 45 females, aged 35 to 87 (53.60±13.25) years. The inclusion criteria: (a) diagnosis based on “Chinese Stroke Association guidelines for clinical management of cerebrovascular disorders”;13 and (b) the patients were hospitalized within 24 hours of onset, and the ischemic lesions were revealed by CT or MRI. The exclusion criteria of patients are as follows: (a) patients with hemorrhagic stroke, traumatic brain injury, hypertensive encephalopathy, encephalitis, and other types of cerebrovascular diseases; (b) patients with cardiopulmonary disease, multiple sclerosis, malignant tumors, and blood system diseases; and (c) patients with consciousness disorder or mental symptoms. Fifty cases of healthy controls were selected as the control group, including 32 males and 18 females, aged from 40 to 75 (57.20±9.28) years. This study was approved by the hospital ethics committee of People’s Hospital of Danzhou. All patients signed informed consent before the experiment was conducted. According to the modified Rankin scale (mRS) score, AIS patients were divided into the good prognosis group and the poor prognosis group. Based on the National Institutes of Health Stroke Scale (NIHSS) score, AIS patients were classified into the mild group, the moderate group, and the severe group. The NIHSS score was applied to evaluating the degree of neurological impairment of patients. Among them, 42 cases were patients with mild neurological impairment (the mild group, score<5), 64 cases were patients with moderate neurological impairment (the moderate group, score 5–20), and 36 cases were patients with severe neurological impairment (the severe group, score>20). The general information of all patients at the time of admission was recorded, including age, gender, body mass index, basic diseases, hyperlipidemia, history of smoking and drinking.

Primer Design and Synthesis

miR-185 Primer Upstream sequence: 5ʹ-ACGTATGCTACTGTGAGCTG-3ʹ, Downstream sequence: 5ʹ-GACTGCGAGCTAGCATCG-3ʹ; miR-424 Primer Upstream sequence: 5ʹ-GAGTACTCTATGACTGTCAG-3ʹ, Downstream sequence: 5ʹ-ATCGTACTAGATACTACG-3ʹ.

Detection of miR-185 and miR-424

A sample of 5 mL of venous blood was taken from every patient on admission to the hospital, and placed in a centrifuge tube without anticoagulant. Then, centrifuge at 2500 r/min for 15 min at room temperature, pipet 400 μL of the upper serum and add 1 mL of extractant (Trizol) into it, and store that at −70 °C. Real-time fluorescent quantitative polymerase chain reaction (RT-PCR) was performed on the ABI 7500 fluorescent quantitative PCR instrument. The reaction system was 20.00 μL, including 1.00 μL TaqMan MicroRNA Assay, 1.33 μL cDNA, 10.00 μL TaqMan 2× Universal PCR Master Mix, 7.67 μL ddH2O. The mixture was centrifuged and put into a quantitative PCR instrument. The condition of PCR amplified reaction was 95 °C pre-degeneration for 10 minutes, 95 °C degeneration for 15 seconds, 60 °C annealing for 60 seconds, and 95 °C extension for 2 seconds which cycle for 45 times. Take U6 as the internal reference; the relative expression of serum miR-185 and miR-424 were solved by the method of 2–ΔΔCt, ΔCt=Cttarget gene–CtU6.

Statistical Analysis

In the analysis, SPSS 12.0 was applied, and the measurement data were represented by X±S, and the comparison of the means of two independent samples was conducted by t-test. The counting data were expressed as the percentage (%) and were performed by χ2 test. ROC curve and Pearson correlation analysis was also applied. P<0.05 indicated the difference was statistically significant.

Results

The Expression of Serum miR-185 and miR-424

There was no significant difference in gender, body mass index (BMI), basic diseases, atrial fibrillation, smoking history, drinking history, heart rate, systolic blood pressure, and diastolic blood pressure between the good prognosis group and the poor prognosis group (P>0.05) (Table 1). Compared with the control group, the expression of miR-185 and miR-424 in the AIS group was significantly higher (P<0.01) (Figure 1). Similarly, significantly higher expressions could be found in the poor prognosis group and the severe group (P<0.01) (Figures 2 and 3). Furthermore, the expression levels of serum miR-185 and miR-424 in the large area cerebral infarction group were significantly higher than those in the medium area cerebral infarction group and small area cerebral infarction group (P<0.01) (Figure 4).
Table 1

Clinical Characteristics of the Study Population

VariableAIS Group (n=142)Cerebral Infarction (n=44)Control (n=50)P
Age (mean±SD)52.40±2.3552.80±2.1452.15±2.830.758
BMI (kg/m2)23.78±2.3423.18±2.1423.60±2.780.316
Gender
 Man82 (57.7)24 (54.5)30 (60.0)0.824
 Woman60 (42.3)20 (45.5)20 (30.0)
History of Diabetes, n (%)
 Yes61 (43.0)21 (47.7)23 (46.0)0.760
 No81 (57.0)23 (52.3)27 (54.0)
History of Hypertension, n (%)
 Yes85 (59.9)27 (61.4)31 (62.0)0.624
 No57 (40.1)17 (38.6)19 (38.0)
Hyperlipidemia, n (%)
 Yes82 (57.7)30 (68.2)32 (64.0)0.514
 No60 (42.3)14 (31.8)18 (36.0)
History of Drinking, n (%)
 Yes55 (38.7)16 (36.4)17 (34.0)0.698
 No87 (61.3)28 (63.6)33 (66.0)
History of Smoking, n (%)
 Yes89 (62.7)35 (79.5)38 (76.0)0.114
 No53 (37.3)9 (20.5)12 (24.0)

Abbreviation: AIS, acute ischemic stroke.

Figure 1

The expression of miR-185 and miR-424 in the AIS group and control group.

Figure 2

The expression of miR-185 and miR-424 in poor prognosis group and good prognosis group of AIS patients.

Figure 3

The expression of miR-185 and miR-424 in the mild, moderate, and severe group of AIS patients.

Figure 4

The expression of miR-185 and miR-424 in small, medium, and large area cerebral infarction group of AIS patients.

Clinical Characteristics of the Study Population Abbreviation: AIS, acute ischemic stroke. The expression of miR-185 and miR-424 in the AIS group and control group. The expression of miR-185 and miR-424 in poor prognosis group and good prognosis group of AIS patients. The expression of miR-185 and miR-424 in the mild, moderate, and severe group of AIS patients. The expression of miR-185 and miR-424 in small, medium, and large area cerebral infarction group of AIS patients.

ROC Curve

The optimal cut-off values of the expression of serum miR-185 and miR-424 for predicting poor prognosis of AIS patients were 2.14 and 4.08, respectively. The AUC of the two combined predictors for poor prognosis of AIS patients was 0.928 (0.870~0.993), which was significantly higher than that of single miR-185 [0.795 (0.737~0.856)] and single miR-424 [0.841 (0.785~0.897)], the differences were statistically significant (Z=7.118, 5.214, P<0.05), and the sensitivity and specificity were 92.7% and 86.5%, respectively (Table 2 and Figure 5).
Table 2

Clinical Characteristics of the Good Prognosis Group and Poor Prognosis Group

VariableGood Prognosis (n=89)Poor Prognosis (n=53)P
Age (mean±SD)51.48±9.3557.15±8.630.006
BMI (kg/m2)23.28±2.2423.45±2.360.584
Heart rate (beats/min)95.20±7.1596.36±7.400.473
Systolic blood pressure (mmHg)143.26±10.28145.40±10.370.751
Diastolic blood pressure (mmHg)85.73±7.2686.48±7.420.557
NIHSS (score)10.50±3.2517.62±3.58<0.001
mRS (score)1.42±0.284.17±0.56<0.001
Gender0.297
 Man5839
 Woman3114
History of Diabetes, n (%)0.594
 Yes20 (22.5)14 (26.4)
 No69 (77.5)39 (73.6)
History of Hypertension, n (%)0.561
 Yes27 (30.3)19 (35.8)
 No62 (69.7)34 (64.2)
History of Drinking, n (%)0.515
 Yes37 (41.6)25 (47.2)
 No52 (58.4)28 (52.8)
History of Smoking, n (%)0.594
 Yes29 (32.3)15 (28.3)
 No60 (67.7)38 (71.7)
Atrial fibrillation, n (%)7 (7.9)5 (9.4)0.745
82 (92.1)58 (90.6)

Abbreviations: NIHSS, National Institutes of Health Stroke Scale; mRS, modified Rankin scale.

Figure 5

ROC curve for predicting poor prognosis of AIS patients by the expression of serum miR-185 and miR-424.

Clinical Characteristics of the Good Prognosis Group and Poor Prognosis Group Abbreviations: NIHSS, National Institutes of Health Stroke Scale; mRS, modified Rankin scale. ROC curve for predicting poor prognosis of AIS patients by the expression of serum miR-185 and miR-424.

Pearson Correlation Analysis

Pearson correlation analysis showed that the expression of serum miR-185 was positively related to NIHSS score and mRS score (r=0.735, 0.802, P<0.01) (Figure 6). Similarly, the expression of serum miR-424 was positively related to NIHSS score and mRS score (r=0.796, 0.873, P<0.01) (Figure 7).
Figure 6

Correlations between the expression of serum miR-185 and NIHSS, mRS score in patients with AIS.

Figure 7

Correlations between the expression of serum miR-424 and NIHSS, mRS score in patients with AIS.

Correlations between the expression of serum miR-185 and NIHSS, mRS score in patients with AIS. Correlations between the expression of serum miR-424 and NIHSS, mRS score in patients with AIS.

Discussion

AIS is a common vascular disease of the central nervous system, which can trigger a series of ischemic cascade pathological events, and finally lead to the apoptosis and necrosis of cerebrovascular endothelial cells and nerve cells. Inflammatory reaction, endothelial dysfunction, and atherosclerosis play a vital role in the pathophysiological process of AIS.14 miRNA, composed of 18–25 nucleotides in length, is an endogenous single-stranded non-coding RNA molecule. By affecting the expression of target genes, it participates in the initiation of a series of complex pathophysiological processes of AIS.15 Numerous studies have reported that miRNAs participate in degrading extracellular matrix, regulating cell apoptosis in plaques, regulating vascular endothelial function and vascular remodeling. miRNAs also can affect the formation and rupture of atherosclerotic plaques, and are involved in neuron destruction, repair, and local inflammatory reaction. miRNA may provide a new target for the treatment of AIS.16,17 Xu et al18 found that the differential expression of miRNAs in AIS may be involved in the release of inflammatory mediators and endothelial cell dysfunction. This may also promote the formation and rupture of atherosclerotic plaque and affect the occurrence of stroke. Other studies pointed out that miRNA can identify the 3ʹ noncoding region of the target gene by complementary base pairing, degrade the target messenger RNA, or inhibit the translation of the target messenger RNA. It can participate in the regulation of the pathophysiological process of AIS as well, such as atherosclerosis, cerebral edema, and cerebral ischemia–reperfusion damage.19 The present study suggests that the up-regulated expression of serum miR-185 and miR-424 may be involved in the pathogenesis of AIS. Moreover, there are differences in the expression of serum miR-185 and miR-424 in patients with different degrees of neurological impairment. The more severe the neurological impairment, the more obvious the increased expression of serum miR-185 and miR-424. This conclusion suggests that the increased expression of serum miR-185 and miR-424 is strongly associated with poor prognosis, and can indicate the severity of neurological impairment and may become biomarkers of AIS patients. The research by Gacoń et al20 showed that miRNA was closely linked with the pathogenesis of AIS. Wu et al21 found that the expression of miRNA was closely linked with the degree of neurological impairment in stroke patients. Thus, the expression of miRNA can be used as a biological indicator for evaluating the degree of neurological impairment of AIS. The ROC curve indicated that the optimal cut-off values of the expression of serum miR-185 and miR-424 for predicting poor prognosis of AIS patients were 2.14 and 4.08, respectively. The area under the curve of the two combined indicators for predicting was the largest, with relatively higher sensitivity and specificity. Jin and Xing’s22 research concluded that the expression of serum miR-185 in patients with AIS was significantly higher and was positively linked with NIHSS score. miR-185 can be used as an independent biomarker of AIS risk and has a good diagnostic value for AIS. Li et al’s research10 showed higher expression of serum miR-424 in AIS patients, and its expression was linked with the severity of the disease; suggests that miR-424 can be a biomarker for the diagnosis of AIS and can provide clues for the individualized treatment of AIS. At present, the most commonly used stroke scale globally is the NIHSS score, which can be used not only to evaluate neurological impairment of stroke patients, but also to regularly evaluate the treatment effect on stroke patients. The degree of disability or independent ability in daily activities of post-stroke patients were evaluated by mRS. In this study, the expression of serum miR-185 and miR-424 is positively related to the NIHSS score and mRS score. The increased expressions of serum miR-185 and miR-424 are closely linked with the severity of neurological impairment and poor prognosis in AIS patients. They can become potential markers for predicting poor prognosis in AIS patients as well.

Conclusion

There are two factors related to the up-regulated expression of serum miR-185 and miR-424, one is the severity degree of neurological impairment of patients with AIS and the other is their prognosis. These two combined indicators can contribute to predicting the prognosis of AIS patients. However, the specific mechanism of serum miR-185 and miR-424 involved in AIS remains unclear. We will investigate further in the future experiment. Furthermore, more tests on other classical miRNAs as the contrast for highlighting the specificity of miR-182 and miR-424 are also necessary and beneficial in future study.
  22 in total

1.  Differential Regulation of microRNAs in Patients with Ischemic Stroke.

Authors:  Sheng-Hua Li; Sheng-You Su; Jing-Li Liu
Journal:  Curr Neurovasc Res       Date:  2015       Impact factor: 1.990

2.  Twenty-four-year trends in the incidence of ischemic stroke in Sweden from 1987 to 2010.

Authors:  Annika Rosengren; Kok Wai Giang; Georgios Lappas; Christina Jern; Kjell Torén; Lena Björck
Journal:  Stroke       Date:  2013-07-09       Impact factor: 7.914

3.  Diagnostic and prognostic micro-RNAs in ischaemic stroke due to carotid artery stenosis and in acute coronary syndrome: a four-year prospective study.

Authors:  Jacek Gacoń; Rafał Badacz; Ewa Stępień; Izabela Karch; Francisco J Enguita; Krzysztof Żmudka; Tadeusz Przewłocki; Anna Kabłak-Ziembicka
Journal:  Kardiol Pol       Date:  2018-01-19       Impact factor: 3.108

Review 4.  MicroRNAs in the Pathobiology and Therapy of Atherosclerosis.

Authors:  Benoit Laffont; Katey J Rayner
Journal:  Can J Cardiol       Date:  2017-01-05       Impact factor: 5.223

5.  Age- and gender-specific prevalence of risk factors in patients with first-ever ischemic stroke in china.

Authors:  Xiao-Ying Yao; Yan Lin; Jie-Li Geng; Ya-Meng Sun; Ying Chen; Guo-Wen Shi; Qun Xu; Yan-Sheng Li
Journal:  Stroke Res Treat       Date:  2012-06-17

6.  Transient focal cerebral ischemia/reperfusion induces early and chronic axonal changes in rats: its importance for the risk of Alzheimer's disease.

Authors:  Qinan Zhang; Teng Gao; Yi Luo; Xijuan Chen; Ge Gao; Xiaoqun Gao; Yiwu Zhou; Jiapei Dai
Journal:  PLoS One       Date:  2012-03-23       Impact factor: 3.240

7.  Diagnostic and Immunosuppressive Potential of Elevated Mir-424 Levels in Circulating Immune Cells of Ischemic Stroke Patients.

Authors:  Guangwen Li; Qingfeng Ma; Rongliang Wang; Zhibin Fan; Zhen Tao; Ping Liu; Haiping Zhao; Yumin Luo
Journal:  Aging Dis       Date:  2018-04-01       Impact factor: 6.745

Review 8.  The Roles of MicroRNAs in Stroke: Possible Therapeutic Targets.

Authors:  Weilin Xu; Liansheng Gao; Jingwei Zheng; Tao Li; Anwen Shao; Cesar Reis; Sheng Chen; Jianmin Zhang
Journal:  Cell Transplant       Date:  2018-06-05       Impact factor: 4.064

9.  LncRNA MEG3 targeting miR-424-5p via MAPK signaling pathway mediates neuronal apoptosis in ischemic stroke.

Authors:  Yanxiao Xiang; Yayun Zhang; Yanni Xia; Hua Zhao; Anchang Liu; Yuguo Chen
Journal:  Aging (Albany NY)       Date:  2020-02-16       Impact factor: 5.682

Review 10.  Impact of miRNA in Atherosclerosis.

Authors:  Yao Lu; Tanuja Thavarajah; Wenduo Gu; Jingjing Cai; Qingbo Xu
Journal:  Arterioscler Thromb Vasc Biol       Date:  2018-09       Impact factor: 8.311

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