Serial #
|
Name of Author; Year of Study
|
MicroRNA
(miR or miRNA)
|
MicroRNA: Regulation
|
MicroRNA Analysis
|
Source
|
Strength of Association (Odds ratio, Relative Risk or Regression Analysis)
|
Comments
|
1
|
Diehl, et al. 2012 [8]
|
miR 19
miR 21
miR 146 miR 155
miR 223
|
Up-regulated:
miR 19
miR 21
miR 146
miR 155
miR 223
|
QRT-PCR
|
MP from plasma
|
ACS vs CAD
miR 21 P=0.042
miR 146a P=0.003
|
Univariate Analysis
|
2
|
Sayed, et al., 2015 [11]
|
miR149
miR 424
miR 765
|
Up-regulated:
miR 765
|
QRT-PCR
|
Serum/
Plasma
|
Non-CAD vs. CAD (Adjusted)
miR 149 95% CI 0.894 to 0.983 p= <0.0001
miR 424 95% CI 0.863 to 0.975 p = <0.0001
miR 765 95% CI 0.939 to 0.996 p=0.0001
|
Adjusted for age, gender, TC,
TAG, HDL-C, LDL-C, systolic blood pressure, diastolic blood
pressure, AST, ALT, creatinine, LVEF, DM, smoking, HTN and medications
|
3
|
Sayed, et al., 2015 [12]
|
miR 149
miR 765
|
Up-regulated:
miR 765
|
QRT-PCR
|
Serum/
Plasma
|
Stable/unstable CAD vs Non-CAD (Adjusted)
miR 765 p=< 0.001
|
Adjusted for subjects with similar age, gender, total cholesterol, total glyceride, HDL, LDL, systolic blood pressure, diastolic blood pressure, AST, ALT, creatinine, cardiac troponinI, CK-MB, LDH, LVEF, DM, smoking, HTN, and medications
|
4
|
Zhou, et al., 2015 [13]
|
miR206
miR574/5p
|
Up-regulated:
miR 206
miR 574/5p
|
QRT-PCR
|
Plasma
|
CAD vs Non-CAD (Adjusted)
miR 206 –95% CI: (0.508-0.706)
miR 574/5p – 95% CI: (0.609- 0.787)
|
Multivariate analysis (no significant differences between two groups including HTN, DM, smoking history, age, gender, HDL-C, TAG, LDL-C and TC)
|
5
|
Liu, et al., 2015 [14]
|
miR 2861
miR 3135b
miR191/3p
miR133a/3p
miR1229/5p
miR134
miR3679/5p
miR223
|
Up-regulated:
miR 133a/3p
miR 134
miR 191/3p
miR 223
miR 1229/5p
miR 2861
miR 3135b
miR 3679/5p
|
QRT-PCR
|
Serum/ Plasma
|
Unadjusted
miR 133a/3p 95% CI 0.55-0.82 p = 0.0096
miR 134 95% CI 0.54-0.82 p= 0.015
miR 191/3p 95% CI 0.58-0.83p= 0.0046
miR 223 95% CI 0.47-0.74p= 0.13
miR 1229-5p 95% CI 0.54-0.83 p= 0.015
miR 286195% CI 0.61-0.87 p= <0.001
miR 3135b95% CI 0.61-0.86 p= <0.001
miR 3679/5p95% CI 0.49-0.79 p = 0.06
|
Univariate Analysis
Matched for sex, DM, and age.
A key feature in vasculature calcification is the osteogenic transition of SMCs miR 2861 might function as an enhancer of osteogenic differentiation of SMCs. The increased circulating miR 2861 level may reflect CAC progression.
|
6
|
Han, et al.,
2015 [15]
|
miR 21a miR 23a
miR 34a
|
Up-regulated:
miR 21
miR 23a
miR 34a
|
QRT-PCR
|
Serum/ Plasma
|
CAD vs Non-CAD
miR-34a, miR-21, and miR-23a that are differentially expressed in CAD plasma p=<0.01
|
Univariate Analysis
|
7
|
Li, et al., 2013 [16]
|
miR 526b
|
Up-regulated:
miR 526b
|
MiRNA by KEGG
|
Serum/
Plasma
|
Pre CAD vs Non-CAD (Adjusted)
miR 526b p=0.00072, p=0.003215
|
Univariate Analysis
|
8
|
Ren, et al.,
2013 [18]
|
miR 21
miR 25
miR 92a
miR 106b
miR 126
miR 451
miR 590/5p
|
Up-regulated:
miR 21
miR 25
miR 92a
miR 106b
miR 126
miR 451
miR 590/5p
|
QRT-PCR
|
Serum/ Plasma
|
CAD (UA) vs Non-CAD (Adjusted)
miR 21OR 2.488 95% CI (1.173, 5.277) p=<0.017
miR 25 OR 2.036 95% CI (1.048, 3.955) p =<0.036
miR 92a OR 2.611 95% CI (1.110, 6.144) p =< 0.028
miR 106b OR 2.389 95% CI (1.158, 4.927) p= <0.018
miR 126 OR 1.882 95% CI (1.140, 3.108) p =<0.013
miR 126 OR 1.882 95% CI (1.140, 3.108) p =<0.013
miR 451 OR 4.609 95% CI (2.171, 9.782) p =<0.001
miR 5905p OR 2.67895% CI (1.226, 5.849) p =<0.013
|
Adjusted for age, sex, HTN, dyslipidemia, DM, smoking status, and the use of statins and anti-platelet drugs)
|
9
|
Guo, et al., 2012 [19]
|
miR 122
miR 370
|
Up-regulated:
miR 122
miR 370
|
QRT-PCR
|
Serum/
Plasma
|
HLD+CAD vs Non-CAD
miR 122 OR 1.08 95 % CI 1.01–1.16 p = 0.034
miR 370 OR 1.05 95 % CI 1.01–1.12 p = 0.022
|
Adjustment for age, gender, BMI, smoking, HTN, DM, and blood lipid profiles
|
10
|
Sondermeijer, et al.,2011 [21]
|
miR 340
miR 624
|
Up-regulated:
miR 340
miR 624
|
QRT-PCR
|
Platelets
|
Pre CAD vs Non-CAD
miR-340/ miR624 95% CI: 0.59–0.83, p=<0.002
|
Univariate Analysis
|
11
|
Fichtlscherer, et al., 2010 [22]
|
miR 17
miR 92a
miR 126
miR 133a
miR 145
miR 155
miR 208a
|
Up-regulated:
miR 133a
miR 208a
|
QRT-PCR
|
Plasma/ Serum
|
CAD vs Non-CAD
miR133a95% CI (5.22-6.35,3.94-6.10) p=0.16
miR208a 95% CI(5.72-6.74, 4.91-6.61) p=0.29
|
Univariate Analysis
In patients with stable CAD, vascular-derivedMiRNAs were significantly down-regulated, whereas musclederivedMiRNAs tended to be higher.
|
12
|
Hokestra, et al., 2010 [24]
|
miR 135
miR 147
|
Up-regulated:
miR 135
|
QRT-PCR
|
PBMCs
|
CAD vs Non-CAD
miR 135a p=<0.001
|
Univariate Analysis
|
13
|
Takahashi, et al., 2010 [25]
|
miR146a/b
|
Up-regulated:
miR146a/b
|
QRT-PCR
|
PMBC
|
CAD vs Non-CAD
miR 146a/b
p=<0.01
|
Adjusted for age, sex, culprit lesion, fasting glucose, HbA1C, LDL cholesterol, high-sensitive CRP, and history of HTN, DM, and corrected CAD. Marked TLR4 expression in atherosclerotic plaques, oxidative stress upregulates macrophage TLR4 expression, perhaps an association between TLR4, inflammation and coronary atherosclerosis. Activation of TLR4 signal may induce miR-146a/b expression as a negative regulator and induce progression of coronary atherosclerosis.
|
14
|
Li, et al.,
2010 [26]
|
miR 21
miR 27b
miR 130, miR 210
|
Up-regulated:
miR 21
miR 27b
miR 130
miR 210
|
QRT-PCR
|
Vessel Intima and Serum
|
AO vs Non-AO
miR 21/27b/130/210
p=<0.05
|
Univariate Analysis
|
15
|
Minami, et al.,
2009 [27]
|
miR 221 miR 222
|
Up-regulated:
miR 221
miR 222
|
QRT-PCR
|
EP
|
Levels of miR 221 and miR 222 were higher in CAD group than in non-CAD group (p<0.01)
|
Univariate Analysis
|