Correlation analysis of serum miR-499 and severity of coronary lesions in patients with acute coronary syndrome

doi:10.3969/j.issn.1674-8115.2024.04.007

Abstract

Abstract:

Objective ·To explore the value of miR-499 expression levels in the serum of patients with acute coronary syndrome (ACS) in predicting the severity of coronary artery disease. Methods ·Seventy-four patients with ACS admitted to Xinhua Hospital, Shanghai Jiao Tong University School of Medicine were included and divided into a mild group of 30 cases, a moderate group of 21 cases, and a severe group of 23 cases according to the Gensini score. Real-time quantitative polymerase chain reaction (qPCR) technology was used to detect the expression level of serum miR-499, while troponin (cTnI), creatine kinase isoenzyme (CK-MB), myoglobin (Mb), brain natriuretic peptide (BNP), left ventricular ejection fraction (LVEF), and other laboratory indicators were measured. Spearman correlation analysis was used to analyze the correlation between the expression level of miR-499 and Gensini score, as well as the number of vessel branches in coronary artery disease. The evaluation value of miR-499 in assessing the severity of coronary artery disease was analyzed by using receiver operating characteristic (ROC) curve. Results ·The expression level of miR-499 increased with the severity of coronary artery disease (P=0.000). The expression level of miR-499 was positively correlated with Gensini score and cTnI (r=0.331, r=0.143, P<0.05), respectively, but not with LVEF (P>0.05), while Gensini score was not correlated with cTnI and LVEF (P>0.05). ROC analysis showed that the AUC of miR-499 for assessing the severity of coronary artery disease was 0.802 (95% CI 0.698?0.906), with sensitivity of 65.2% and specificity of 80.4%. The expression level of miR-499 increased with the increase of the number of coronary artery lesions, and was positively correlated with the number of coronary artery lesions (r=0.368, P<0.05). Conclusion ·The expression level of miR-499 in the serum of ACS patients is correlated with the severity and number of coronary artery lesions, which has a certain evaluation value in evaluating the severity of coronary artery lesions.

Key words: miR-499, acute coronary syndrome, biomarker, coronary artery stenosis

CLC Number:

R543.3

TANG Dongjuan, JIANG Lai, JIANG Ye. Correlation analysis of serum miR-499 and severity of coronary lesions in patients with acute coronary syndrome[J]. Journal of Shanghai Jiao Tong University (Medical Science), 2024, 44(4): 469-473.

Figures/Tables 3

TrendMD

References 20

1	WADA H, MIYAUCHI K, DAIDA H. Gender differences in the clinical features and outcomes of patients with coronary artery disease[J]. Expert Rev Cardiovasc Ther, 2019, 17(2): 127-133.
2	TONG K L, MAHMOOD ZUHDI A S, WAN AHMAD W A, et al. Circulating microRNAs in young patients with acute coronary syndrome[J]. Int J Mol Sci, 2018, 19(5): E1467.
3	GRÜNTZIG A R, SENNING A, SIEGENTHALER W E. Nonoperative dilatation of coronary-artery stenosis: percutaneous transluminal coronary angioplasty[J]. N Engl J Med, 1979, 301(2): 61-68.
4	GOELLER M, ACHENBACH S, CADET S, et al. Pericoronary adipose tissue computed tomography attenuation and high-risk plaque characteristics in acute coronary syndrome compared with stable coronary artery disease[J]. JAMA Cardiol, 2018, 3(9): 858-863.
5	WANG G K, ZHU J Q, ZHANG J T, et al. Circulating microRNA: a novel potential biomarker for early diagnosis of acute myocardial infarction in humans[J]. Eur Heart J, 2010, 31(6): 659-666.
6	LIU X, FAN Z, ZHAO T, et al. Plasma miR-1, miR-208, miR-499 as potential predictive biomarkers for acute myocardial infarction: an independent study of Han population[J]. Exp Gerontol, 2015, 72: 230-238.
7	CORSTEN M F, DENNERT R, JOCHEMS S, et al. Circulating microRNA-208b and microRNA-499 reflect myocardial damage in cardiovascular disease[J]. Circ Cardiovasc Genet, 2010, 3(6): 499-506.
8	LI H Y, ZHAO X, LIU Y Z, et al. Plasma microRNA-126-5p is associated with the complexity and severity of coronary artery disease in patients with stable angina pectoris[J]. Cell Physiol Biochem, 2016, 39(3): 837-846.
9	LI H, GAO F, WANG X, et al. Circulating microRNA-378 levels serve as a novel biomarker for assessing the severity of coronary stenosis in patients with coronary artery disease[J]. Biosci Rep, 2019, 39(5): BSR20182016.
10	ZHU G F, YANG L X, GUO R W, et al. MicroRNA-155 is inversely associated with severity of coronary stenotic lesions calculated by the Gensini score[J]. Coron Artery Dis, 2014, 25(4): 304-310.
11	中国医师协会急诊医师分会.2015中国急诊急性冠脉综合症临床实践指南(二): 诊断篇[J]. 中国急救医学, 2016, 36(1): 9-11.
	Emergency Physician Branch of Chinese Medical Doctor Association. 2015 China emergency acute coronary syndrome clinical practice guidelines (Ⅱ): diagnosis section[J].Chinese Journal of Critical Care Medicine, 2016, 36(1): 9-11.
12	CHENG J, CHENG A, CLIFFORD B L, et al. MicroRNA-144 silencing protects against atherosclerosis in male, but not female mice[J]. Arterioscler Thromb Vasc Biol, 2020, 40(2): 412-425.
13	ARDERIU G, PEÑA E, ALEDO R, et al. MicroRNA-145 regulates the differentiation of adipose stem cells toward microvascular endothelial cells and promotes angiogenesis[J]. Circ Res, 2019, 125(1): 74-89.
14	HE W, ZHU L, HUANG Y, et al. The relationship of microRNA-21 and plaque stability in acute coronary syndrome[J]. Medicine (Baltimore), 2019, 98(47): e18049.
15	WANG J, JIA Z, ZHANG C, et al. MiR-499 protects cardiomyocytes from H₂O₂-induced apoptosis via its effects on Pdcd4 and Pacs2[J]. RNA Biol, 2014, 11(4): 339-350.
16	REN J, ZHANG J, XU N, et al. Signature of circulating microRNAs as potential biomarkers in vulnerable coronary artery disease[J]. PLoS One, 2013, 8(12): e80738.
17	ROMAINE S P, TOMASZEWSKI M, CONDORELLI G, et al. MicroRNAs in cardiovascular disease: an introduction for clinicians[J]. Heart, 2015, 101(12): 921-928.
18	AI J, ZHANG R, LI Y, et al. Circulating microRNA-1 as a potential novel biomarker for acute myocardial infarction[J]. Biochem Biophys Res Commun, 2010, 391(1): 73-77.
19	DEVAUX Y, VAUSORT M, GORETTI E, et al. Use of circulating microRNAs to diagnose acute myocardial infarction[J]. Clin Chem, 2012, 58(3): 559-567.
20	NEELAND I J, PATEL R S, ESHTEHARDI P, et al. Coronary angiographic scoring systems: an evaluation of their equivalence and validity[J]. Am Heart J, 2012, 164(4): 547-552.e1.

Item	Mild group (n=30)	Moderate group (n=21)	Severe group (n=23)	P value
Age/year	64.6±12.2	63.1±12.2	63.9±8.5	0.903
Gender/(male/female)/n	21/9	19/2	19/4	0.191
Diabetes/n(%)	6 (20.0)	8 (38.1)	8 (34.8)	0.319
CHD/n(%)	6 (20.0)	5 (23.8)	3 (13.0)	0.658
Smoking/n(%)	16 (53.3)	11 (52.4)	12 (52.2)	0.996
Hypertension/n(%)	19 (63.3)	13 (61.9)	13 (56.5)	0.879
HDL-C/(mmol·L^-1)	1.22±0.26	1.19±0.27	1.22±0.21	0.867
LDL-C/(mmol·L^-1)	2.70±0.88	2.56±0.66	2.91±0.97	0.414
Mb/(ng·mL^-1)	43.00 (19.38‒234.45)	52.80 (24.65‒123.85)	113.20 (51.20‒259.50)	0.392
CK-MB/(ng·mL^-1)	2.95 (1.45‒42.25)	3.30 (2.10‒7.30)	4.40 (2.50‒21.30)	0.528
cTnI/(ng·mL^-1)	0.15 (0.02‒1.57)	0.12 (0.03‒0.20)	0.15 (0.05‒0.74)	0.660
LVEF/%	56.26±7.03	57.97±7.51	58.43±6.22	0.795
miR-499	3.36±1.99	4.81±1.66	6.79±2.34	0.000

Item	Mild group (n=30)	Moderate group (n=21)	Severe group (n=23)	P value
Age/year	64.6±12.2	63.1±12.2	63.9±8.5	0.903
Gender/(male/female)/n	21/9	19/2	19/4	0.191
Diabetes/n(%)	6 (20.0)	8 (38.1)	8 (34.8)	0.319
CHD/n(%)	6 (20.0)	5 (23.8)	3 (13.0)	0.658
Smoking/n(%)	16 (53.3)	11 (52.4)	12 (52.2)	0.996
Hypertension/n(%)	19 (63.3)	13 (61.9)	13 (56.5)	0.879
HDL-C/(mmol·L^-1)	1.22±0.26	1.19±0.27	1.22±0.21	0.867
LDL-C/(mmol·L^-1)	2.70±0.88	2.56±0.66	2.91±0.97	0.414
Mb/(ng·mL^-1)	43.00 (19.38‒234.45)	52.80 (24.65‒123.85)	113.20 (51.20‒259.50)	0.392
CK-MB/(ng·mL^-1)	2.95 (1.45‒42.25)	3.30 (2.10‒7.30)	4.40 (2.50‒21.30)	0.528
cTnI/(ng·mL^-1)	0.15 (0.02‒1.57)	0.12 (0.03‒0.20)	0.15 (0.05‒0.74)	0.660
LVEF/%	56.26±7.03	57.97±7.51	58.43±6.22	0.795
miR-499	3.36±1.99	4.81±1.66	6.79±2.34	0.000

[1]	FENG Jiali, PENG Yu, DUAN Junkai. Progress in functional mechanisms and biomarkers of miRNA related to Kawasaki disease [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(2): 256-260.
[2]	ZHANG Meng, CUI Qing, ZHU Diqi, ZHANG Yuqi, ZHONG Yumin, SHEN Jie. Coronary angiography review in 21 children with Kawasaki disease complicated with coronary artery disease [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(12): 1535-1541.
[3]	LI Siyuan, HE Shen, LI Huafang. Recent advance in autophagy-related pathways and key biomarkers in major depressive disorder [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(10): 1324-1331.
[4]	JIANG Wenqun, HOU Pinpin, CHEN Yan, JIA Feng, ZHANG Xiaohua, GAO Li, HU Qin. Characteristics and clinical significance of serum renalase in patients with acute ischemic stroke [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2023, 43(1): 29-35.
[5]	CHEN Yiting, ZHAO Anda, LI Rong, KANG Wenhui, LI Shenghui. Review of the role of circulating exosomal microRNA in bronchial asthma [J]. Journal of Shanghai Jiao Tong University (Medical Science), 2022, 42(3): 375-380.
[6]	Lei XIONG, Qian YI, Ming-fang XU, Jian CHEN. Expression and prognosis analysis of MRPL12 in lung adenocarcinoma [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(8): 1033-1040.
[7]	Xu-xin-yi LING, Yao ZHANG, Hua ZHONG. Research progress in screening non-small cell lung cancer patients who will benefit from immunotherapy [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(8): 1114-1119.
[8]	Yu-huan WANG, Yi-cen DING, Yao-yu CAI, Ya-ni KANG. Study on differentially expressed microRNA as a biomarker of polycystic ovary syndrome [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(11): 1429-1435.
[9]	ZHU Lin, LIU Jun. Progress in biomarkers of multiple system atrophy [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(9): 1302-1307.
[10]	MA Yi-fei, LI Yu-feng, GUO Gui-mei, ZHU Ya-ju, GONG Ying-liang, DONG Yu. Changes of new urinary biomarkers in children with Henoch-Schonlein purpura nephritis [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(6): 841-846.
[11]	WANG Xiao-xia1, XU Tian-xiang2, LÜ Tang-feng3, XU Wu-jian3, LIU Jian-bo1, SONG Yong3. Clinical significance of geranylgeranyl diphosphate synthase expression levels in patients with acute respiratory distress syndrome [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(5): 639-645.
[12]	CHEN Si, LIU Chun-liang, ZHAO Qian, SUN Hai-peng, LIU Yun-xia. Identification of hub genes and key pathways in breast cancersurvival-based bioinformatics analysis [J]. , 2020, 40(3): 294-.
[13]	TANG Dong-juan, XUE Xiao-mei, HE Bin. Early diagnosis and prognostic evaluation value of miR-133a in patients with acute myocardial infarction [J]. , 2020, 40(3): 339-.
[14]	ZHANG Wei-ran1, 2, LIN Xue-feng3, LI Xin2, ZHANG Hao2, WANG Meng2, SUN Wei2, HAN Xing-peng2, SUN Da-qiang1, 4. Transcriptional identification of potential biomarkers of lung adenocarcinoma [J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2020, 40(12): 1598-1606.
[15]	KUANG Jun-liang, ZHENG Xiao-jiao, ZHAO Ai-hua, JIA Wei. Alterations in bile acid levels in metabolic diseases and related treatment strategies [J]. , 2019, 39(6): 678-.