plasma mir-10a: a potential biomarker for coronary artery disease
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Research ArticlePlasma miR-10a A Potential Biomarker forCoronary Artery Disease
Liyun Luo Bairong Chen Songbiao Li Xiaoliang WeiTianmin Liu Yin Huang and Xiufang Lin
Department of Cardiology The Fifth Affiliated Hospital of Sun Yat-sen University Zhuhai Guangdong 519000 China
Correspondence should be addressed to Xiufang Lin linxiufangoutlookcom
Received 14 January 2016 Revised 29 March 2016 Accepted 19 April 2016
Academic Editor Tomas Sobrino
Copyright copy 2016 Liyun Luo et al This is an open access article distributed under the Creative Commons Attribution Licensewhich permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited
Aims MicroRNAs (miRNAs) are involved in the pathogenesis of coronary artery disease (CAD) The objective of this study is todetermine plasma levels of miR-10a in CAD and analyze its association with the severity of CADMaterials and Methods PlasmamiR-10a levels in 60 CAD patients including stable angina pectoris (SAP) (119899 = 29) unstable angina pectoris (UAP) or non-STelevation myocardial infarction (MI) (NSTEMI) (119899 = 17) or ST elevation MI (STEMI) (119899 = 14) and 20 non-CAD subjects wereassessed by real-time polymerase chain reaction (qRT-PCR) and associations of miR-10a levels with risk factors of CAD and itsseverity were analyzed ResultsThe qRT-PCR results showed that plasmamiR-10a levels were decreased in CAD patients and CADwith high SYNTAX scores or STEMI was significantly associated with lower miR-10a levels Conclusions Lower plasma miR-10alevels were negatively associated with the presence as well as severity of CAD and plasma miR-10a can act as a potential biomarkerfor estimating the presence and severity of CAD
1 Introduction
Coronary artery disease (CAD) is currently one major causeof death in the world [1 2] CAD is mainly caused byatherosclerosis which is considered as a chronic inflamma-tion in response to cholesterol accumulation in the arterialwall [3] Therefore biomarkers that can predict the presencefor early atherosclerotic process and CAD are desirableMicroRNAs (miRNAs) are sim22 nucleotides long noncodingRNAs known to inversely regulate their target gene expres-sion at the posttranscriptional level by interacting with the31015840-untranslated region (31015840-UTR) [4] Accumulating evidenceshows that miRNAs play important roles in the pathogenesisof atherosclerosis and CAD [4] and circulating miRNAscould be useful as novel biomarkers for the diagnosis of thesediseases [5 6]
Previous study has suggested that endothelial miR-10awas lower in the atherosusceptible regions of the inner aorticarch and aortorenal branches than elsewhere and miR-10a can regulate proinflammatory phenotypes in atheroscle-rosis susceptible endothelium both in vivo and in vitro[7] Although the role of miR-10a in the formation of
atherosclerotic plaque has been reported expression of differ-ent circulatingmiR-10a in CAD patients has not been studiedyet
In the present study we aimed to determine plasma miR-10a levels in CAD patients and investigate the associationbetween plasma miRNA-10a level and the severity of CAD
2 Methods
21 Study Subjects A total of 80 consecutive patients whounderwent diagnostic coronary angiography for chest painevaluation during January 2015 to July 2015 at Departmentof Cardiology the Fifth Affiliated Hospital of Sun Yat-senUniversity were enrolled into this study In the whole pop-ulations studied 60 subjects have been diagnosed with CADand subjects with no angiographic evidence of CAD weredesigned as non-CAD control (119899 = 20) Patients with CADwere furtherly grouped into either stable angina pectoris(SAP) (119899 = 29) unstable angina pectoris (UAP) or non-ST elevation myocardial infarction (MI) (UAPNSTEMI)(119899 = 17) and ST elevation MI (STEMI) (119899 = 14) accord-ing to the ACCAHA classification of the coronary tree
Hindawi Publishing CorporationDisease MarkersVolume 2016 Article ID 3841927 5 pageshttpdxdoiorg10115520163841927
2 Disease Markers
All subjects including patients and controls with a historyand clinical features of acute or chronic infectious diseaselung diseases liver disease and kidney disease malignanttumor and autoimmune diseases and patients who took anti-inflammatory drugswere excluded from this studyThis studywas approved by the human ethics committee of Sun Yat-sen University All volunteers provided written informedconsent and the procedure was conducted in adherence withall applicable state and university guidelines
22 RNA Isolation Venous blood samples were obtained viaantecubital venipuncture Whole blood (5mL) was collectedin EDTA-containing tubes and then centrifuged (12000timesgfor 10min at 4∘C) Supernatant was collected and centrifuged(12000timesg for 10min at 4∘C) Plasma was obtained and wasrapidly subjected to RNA extraction miRNA in plasma wasisolated by the use of miRNeasy Plasma Kit (Qiagen HildenGermany) in accordance with the manufacturerrsquos protocol
23 Quantitative Reverse-Transcription PCR The expressionlevels of miR-10a in 60 patients with CAD and 20 controlsubjects were quantified by using a miScript SYBR GreenPCR Kit (Qiagen Germany) Monitoring of miRNA-derivedPCR products was performed on a Light Cycler (Bio-Rad)and normalized to RNU6B The 2minusΔΔCt method was used foranalysis of miR-10a expression (defined as fold change) Therelative expression of miR-10a was calculated by the 2minusΔΔCt
(ΔCt = CtmiR-10aminus CtRNU6B ΔΔCt = ΔCtsample
minus ΔCtcontrol)All samples were repeated for trice
24 Statistics All statistical analyses were performed byusing SPSS 160 (SPSS Inc Chicago IL) All continuous vari-ables are expressed as the means plusmn SD ANOVA or Studentrsquos119905-tests were used for statistical analyses 1205942 test was usedto compare categorical variables Pearson correlation coeffi-cient was calculated for continuous variables A 119875 value lt005 was considered significant
3 Results
31 Basic Clinical Characteristics of CAD Patients and Non-CAD Controls Basic clinical characteristics of the wholesubjects studied in this study were shown in Table 1 Among80 subjects 60 patients were found to have angiographicallysignificant CAD and 20 patients were found not to haveangiographically significant CAD who grouped into non-CAD control The CAD patients included SAP (119899 = 29)UAPNSTEMI (119899 = 17) and STEMI (119899 = 14) 1205942 testswere used to compare categorical variables and Studentrsquos 119905-tests were used to compare numerical variables There wereno substantial differences in age gender family history ofCAD and complication with diabetes between CAD groupand control group (non-CAD patients) However CADgroup had significant higher BMI as well as obvious higherpercentage of smokers hypertension and dyslipidemia
32 Plasma miR-10a Levels Were Downregulated in CADWe determined the levels of miR-10a in the plasma of CAD
Table 1 Clinical characteristics in the whole population
CAD patients(119873 = 60)
Non-CAD control(119873 = 20)
Ages (years) 647 plusmn 87 634 plusmn 99Gender (male) n () 45 (75) 14 (70)Body mass index kgm2 254 plusmn 31lowast 219 plusmn 34Smoking n () 42 (70)lowast 7 (35)Family history of CAD n() 14 (233) 4 (20)
Hypertension n () 52 (867)lowast 5 (25)Diabetes n () 16 (267) 4 (20)Dyslipidemia n () 42 (70)lowast 4 (20)lowast119875 lt 005
00
05
10
15
20
miR
-10a
relat
ive e
xpre
ssio
n
CAD Non-CAD
P lt 00001
Figure 1 Plasma miR-10a levels in CAD patients and non-CADcontrols Plasma miR-10a levels were detected in CAD patientscompared with non-CAD controls by qRT-PCR The expressionlevels of miR-10a were normalized to RNU6B 119875 values werecalculated using Studentrsquos 119905-test
patients and non-CAD subjects (controls)We designated theexpression level of miR-10a in one non-CAD subject as 1 andother samples were compared with it Studentrsquos 119905-tests wereused for statistical analyses The results showed that plasmamiR-10a levels were decreased in CAD patients as comparedwith non-CAD controls (Figure 1)
33 Plasma miR-10a Levels Were Associated with Risk Factorsin CADPatients We then analyzed the relationships betweenplasma miR-10a levels and risk factors in CAD patientsWe set the two cut-off values of miR-10a expression levelsin CAD patients as means minus SD of miR-10a expressionin non-CAD subjects The relative expression of miR-10alt 0838 was considered lower-expression And 1205942 test wasused to compare categorical variables When comparingnumerical variables we defined them as categorical variablesand then analyzed them by using 1205942 test The cut-off valuesof numerical variables were shown in Table 2 The statistical
Disease Markers 3
00
05
10
15
20
miR
-10a
relat
ive e
xpre
ssio
n
STEMI NSTEMIUAP SAP Non-CAD
P lt 00001
P lt 00001
P lt 00001
P = 00081
P = 00136 P = 09241
Figure 2 Plasma miR-10a levels among different clinical pre-sentation of CAD Plasma miR-10a levels were detected amongdifferent clinical presentation of CAD including STEMI (119899 = 14)UAPNSTEMI (119899 = 17) or SAP (119899 = 29) by qRT-PCR Theexpression levels of miR-10a were normalized to RNU6B 119875 valueswere calculated using Studentrsquos 119905-test
analysis showed that there was no significant association ofclinical variables and miR-10a (Table 2)
34 Plasma miR-10a Levels Were Associated with the Severityof CAD To further evaluate the association between plasmamiR-10a levels and the severity of CAD we performed asubanalysis in CAD population (119899 = 60) Severity of CADwas evaluated with the type of CAD and SYNTAX scorein this study Firstly we analyzed plasma miR-10a level indifferent groups including STEMI UAPNSTEMI or SAPFigure 2 showed that in STEMI group miR-10a expressionlevels were downregulated as compared with UAPNSTEMIand SAP group but no significant difference was detectedbetween UAPNSTEMI and SAP group On the basis of theirSYNTAX scores CAD patients were again divided into threegroups low (SYNTAX score lt 23 119899 = 28) intermediate(SYNTAX score 23ndash32 119899 = 22) and high (SYNTAX score gt32 119899 = 10) and the plasma miR-10a levels in each groupwere analyzedThe results showed that patients in group withhigh SYNTAX score had significantly lower miR-10a levelsand no significant difference was observed between groupswith low and intermediate SYNTAX score (Figure 3) Lowerplasma miR-10a levels were negatively associated with higherSYNTAX scores (Pearsonrsquos 119877 = minus0569 119875 = 0000) (Figure 4)These results indicated decreased plasma miR-10a levels withincrease in severity and complexity of CAD
4 Discussion
MicroRNAs (miRNAs) are a class of sim22 nucleotides longnoncoding RNAs which regulate gene expression at the
Table 2 Correlation of miR-10a expression with clinical character-istics in CAD patients
Variable Normal expression Low expression 1205942 PTotal (119873 = 60)Sex 0423 0515Male (45) 15 30Female (15) 3 12
Age (years) 1188 0276le60 (19) 8 11gt60 (41) 10 31
Body mass index 0060 08061ge24 (42) 13 29lt24 (18) 5 13
Smoking 3178 0075Yes (42) 16 26No (18) 2 16
History of family 0000 1000Yes (14) 4 10No (46) 14 32
Diabetes mellitus 0037 0848Yes (16) 4 12No (44) 14 30
Hypertension 0007 0934Yes (52) 15 37No (8) 3 5
Dyslipidemia 3178 0075Yes (42) 16 26No (18) 2 16
posttranscriptional level by binding with the 31015840-untranslatedregion (31015840-UTR) of their target genes [4] miRNAs have beendemonstrated to play vital roles in initiation and developmentof many diseases such as cancers autoimmune diseasesand CAD [4 8 9] Recent studies have also shown thatcirculating miRNAs can act as novel biomarkers for thediagnosis and prognosis of these diseases [5 6 8] CAD iscurrently considered as one major cause of death worldwide[1 2] CAD is mainly driven by atherosclerosis which ischaracterized as a chronic inflammation [3] Therefore it isimportant to identify potential biomarkers of estimating thepresence and the severity of CAD
miR-10a had been found to be lower in the atherosuscep-tible regions of the inner aortic arch and aortorenal branchesthan elsewhere and to regulate inflammatory responses inatherosclerosis susceptible endothelium [7] CAD is mainlycaused by atherosclerosis which is considered as a chronicinflammation in response to cholesterol accumulation in thearterial wall Therefore we speculated that aberrant miR-10a expression may be involved in CAD Several studieshave shown that circulating miRNAs can serve as poten-tial biomarkers for CAD [5 6] In the present study wedemonstrated that plasma miR-10a levels were significantlydownregulated in CADpatients as comparedwith non-CADcontrols Our findings also indicated that downregulated
4 Disease Markers
00
05
10
15
miR
-10a
relat
ive e
xpre
ssio
n
Low(n = 28)
Intermediate(n = 22)
High(n = 10)
P lt 00001
SYNTAX score groups (low = lt23 intermediate = 23ndash32 high = gt32)
P = 01537 P = 00014
Overall P = 00002
Figure 3 Plasma miR-10a levels among different SYNTAX groupsPlasma miR-10a levels were detected among different SYNTAXgroups including low (SYNTAX score lt 23 119899 = 28) intermediate(SYNTAX score 23ndash32 119899 = 22) and high (SYNTAX score gt 32 119899 =10) by qRT-PCRThe expression levels of miR-10a were normalizedto RNU6B 119875 values were calculated using Studentrsquos 119905-test Overall 119875values were calculated using one-way ANOVA
0 10 20 30 40 50 6000
02
04
06
08
10
12
14
miR
-10a
relat
ive e
xpre
ssio
n
SYNTAX score
Pearsonrsquos R = minus0569 P = 0000
Figure 4 Correlation between SYNTAX score and plasma miR-10a miR-10a was negatively associated with SYNTAX score in CADpatients
miR-10a levels are correlated with the severity of CAD Fur-thermore we found that lower miR-10a levels were negativelyassociated with the severity of CAD especially patients withSTEMI and high SYNTAX score which indicates that miR-10a may serve as potential biomarkers of the severity of CAD
Exosomes are small membrane-bound vesicles secretedby most cell types including endothelial cells blood cellsimmune cells and tumor cells [10] Exosomes contain variousfunctional proteins mRNAs andmiRNAs that could be usedfor diagnostic and therapeutic purposes in many diseasessuch as CAD [10] Herein we demonstrated that plasmamiR-10a is downregulated in CAD Presumably the plasma miR-10a is in the plasma exosomes Because the coronary tissue
accounts for only a tiny fraction of the systemic vascularcontribution of plasma exosomes it is likely that the dataof our study may not reflect the association of miR-10a andCAD However all subjects including patients and controlswith a history and clinical features of acute or chronicinfectious disease lung diseases liver disease and kidneydisease malignant tumor and autoimmune diseases andpatients who took anti-inflammatory drugs were excludedfrom this study In addition our team also determined theexpression levels of plasma miR-10a in patients with heartfailure and peripheral arterial disease but no significantdifference was observed between them and healthy controls(the results were not shown in the text) So we estimatedplasma miR-10a as a biomarker of CAD Certainly furtherstudies that indicate the association of miR-10a and CADdirectly are required
Our study had several limitations Firstly it was asingle-center study which involved a small sample size andthe distribution of patients in CAD and non-CAD groupswas uneven Therefore the results of this study might beinterpreted with caution and large-scale multicenter studieswould be required to further illustrate miR-10a as a potentialmarker in CAD Secondly in this study we could not clarifythe mechanisms of association between lower miR-10a levelsin the plasma and CAD severity and so some biologicalstudies are also required
In conclusion plasma miR-10a levels are significantlylower in patients with CAD when compared with non-CADsubjects and this decrease is negatively associated with theseverity of CAD Our study may provide further evidence forclinical implications in the diagnosis of CAD
Competing Interests
The authors have not declared any competing interests
Authorsrsquo Contributions
Liyun Luo and Bairong Chen contributed equally to thiswork
References
[1] D Mozaffarian E J Benjamin A S Go et al ldquoHeart diseaseand stroke statisticsmdash2015 update a report from the AmericanHeart Associationrdquo Circulation vol 131 no 4 pp e29ndashe3222015
[2] R W Yeh S Sidney M Chandra M Sorel J V Selby and A SGo ldquoPopulation trends in the incidence and outcomes of acutemyocardial infarctionrdquo The New England Journal of Medicinevol 362 no 23 pp 2155ndash2165 2010
[3] M Barton R Minotti and E Haas ldquoInflammation andatherosclerosisrdquo Circulation Research vol 101 no 8 pp 750ndash751 2007
[4] I Andreou X Sun P H Stone E R Edelman and MW Feinberg ldquomiRNAs in atherosclerotic plaque initiationprogression and rupturerdquoTrends inMolecularMedicine vol 21no 5 pp 307ndash318 2015
Disease Markers 5
[5] C Li F Pei X Zhu D D Duan and C Zeng ldquoCirculatingmicroRNAs as novel and sensitive biomarkers of acute myocar-dial infarctionrdquo Clinical Biochemistry vol 45 no 10-11 pp 727ndash732 2012
[6] M Li and J Zhang ldquoCirculating MicroRNAs potential andemerging biomarkers for diagnosis of cardiovascular and cere-brovascular diseasesrdquo BioMed Research International vol 2015Article ID 730535 9 pages 2015
[7] Y Fang C Shi E Manduchi M Civelek and P F DaviesldquoMicroRNA-10a regulation of proinflammatory phenotype inathero-susceptible endothelium in vivo and in vitrordquo Proceed-ings of the National Academy of Sciences of the United States ofAmerica vol 107 no 30 pp 13450ndash13455 2010
[8] K A Hyun J Kim H Gwak and H I Jung ldquoIsolation andenrichment of circulating biomarkers for cancer screeningdetection and diagnosticsrdquoTheAnalyst vol 141 no 2 pp 382ndash392 2016
[9] Z Zhang and R Zhang ldquoEpigenetics in autoimmune dis-eases pathogenesis and prospects for therapyrdquo AutoimmunityReviews vol 14 no 10 pp 854ndash863 2015
[10] S Ailawadi X Wang H Gu and G-C Fan ldquoPathologic func-tion and therapeutic potential of exosomes in cardiovasculardiseaserdquo Biochimica et Biophysica Acta (BBA)mdashMolecular Basisof Disease vol 1852 no 1 pp 1ndash11 2015
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2 Disease Markers
All subjects including patients and controls with a historyand clinical features of acute or chronic infectious diseaselung diseases liver disease and kidney disease malignanttumor and autoimmune diseases and patients who took anti-inflammatory drugswere excluded from this studyThis studywas approved by the human ethics committee of Sun Yat-sen University All volunteers provided written informedconsent and the procedure was conducted in adherence withall applicable state and university guidelines
22 RNA Isolation Venous blood samples were obtained viaantecubital venipuncture Whole blood (5mL) was collectedin EDTA-containing tubes and then centrifuged (12000timesgfor 10min at 4∘C) Supernatant was collected and centrifuged(12000timesg for 10min at 4∘C) Plasma was obtained and wasrapidly subjected to RNA extraction miRNA in plasma wasisolated by the use of miRNeasy Plasma Kit (Qiagen HildenGermany) in accordance with the manufacturerrsquos protocol
23 Quantitative Reverse-Transcription PCR The expressionlevels of miR-10a in 60 patients with CAD and 20 controlsubjects were quantified by using a miScript SYBR GreenPCR Kit (Qiagen Germany) Monitoring of miRNA-derivedPCR products was performed on a Light Cycler (Bio-Rad)and normalized to RNU6B The 2minusΔΔCt method was used foranalysis of miR-10a expression (defined as fold change) Therelative expression of miR-10a was calculated by the 2minusΔΔCt
(ΔCt = CtmiR-10aminus CtRNU6B ΔΔCt = ΔCtsample
minus ΔCtcontrol)All samples were repeated for trice
24 Statistics All statistical analyses were performed byusing SPSS 160 (SPSS Inc Chicago IL) All continuous vari-ables are expressed as the means plusmn SD ANOVA or Studentrsquos119905-tests were used for statistical analyses 1205942 test was usedto compare categorical variables Pearson correlation coeffi-cient was calculated for continuous variables A 119875 value lt005 was considered significant
3 Results
31 Basic Clinical Characteristics of CAD Patients and Non-CAD Controls Basic clinical characteristics of the wholesubjects studied in this study were shown in Table 1 Among80 subjects 60 patients were found to have angiographicallysignificant CAD and 20 patients were found not to haveangiographically significant CAD who grouped into non-CAD control The CAD patients included SAP (119899 = 29)UAPNSTEMI (119899 = 17) and STEMI (119899 = 14) 1205942 testswere used to compare categorical variables and Studentrsquos 119905-tests were used to compare numerical variables There wereno substantial differences in age gender family history ofCAD and complication with diabetes between CAD groupand control group (non-CAD patients) However CADgroup had significant higher BMI as well as obvious higherpercentage of smokers hypertension and dyslipidemia
32 Plasma miR-10a Levels Were Downregulated in CADWe determined the levels of miR-10a in the plasma of CAD
Table 1 Clinical characteristics in the whole population
CAD patients(119873 = 60)
Non-CAD control(119873 = 20)
Ages (years) 647 plusmn 87 634 plusmn 99Gender (male) n () 45 (75) 14 (70)Body mass index kgm2 254 plusmn 31lowast 219 plusmn 34Smoking n () 42 (70)lowast 7 (35)Family history of CAD n() 14 (233) 4 (20)
Hypertension n () 52 (867)lowast 5 (25)Diabetes n () 16 (267) 4 (20)Dyslipidemia n () 42 (70)lowast 4 (20)lowast119875 lt 005
00
05
10
15
20
miR
-10a
relat
ive e
xpre
ssio
n
CAD Non-CAD
P lt 00001
Figure 1 Plasma miR-10a levels in CAD patients and non-CADcontrols Plasma miR-10a levels were detected in CAD patientscompared with non-CAD controls by qRT-PCR The expressionlevels of miR-10a were normalized to RNU6B 119875 values werecalculated using Studentrsquos 119905-test
patients and non-CAD subjects (controls)We designated theexpression level of miR-10a in one non-CAD subject as 1 andother samples were compared with it Studentrsquos 119905-tests wereused for statistical analyses The results showed that plasmamiR-10a levels were decreased in CAD patients as comparedwith non-CAD controls (Figure 1)
33 Plasma miR-10a Levels Were Associated with Risk Factorsin CADPatients We then analyzed the relationships betweenplasma miR-10a levels and risk factors in CAD patientsWe set the two cut-off values of miR-10a expression levelsin CAD patients as means minus SD of miR-10a expressionin non-CAD subjects The relative expression of miR-10alt 0838 was considered lower-expression And 1205942 test wasused to compare categorical variables When comparingnumerical variables we defined them as categorical variablesand then analyzed them by using 1205942 test The cut-off valuesof numerical variables were shown in Table 2 The statistical
Disease Markers 3
00
05
10
15
20
miR
-10a
relat
ive e
xpre
ssio
n
STEMI NSTEMIUAP SAP Non-CAD
P lt 00001
P lt 00001
P lt 00001
P = 00081
P = 00136 P = 09241
Figure 2 Plasma miR-10a levels among different clinical pre-sentation of CAD Plasma miR-10a levels were detected amongdifferent clinical presentation of CAD including STEMI (119899 = 14)UAPNSTEMI (119899 = 17) or SAP (119899 = 29) by qRT-PCR Theexpression levels of miR-10a were normalized to RNU6B 119875 valueswere calculated using Studentrsquos 119905-test
analysis showed that there was no significant association ofclinical variables and miR-10a (Table 2)
34 Plasma miR-10a Levels Were Associated with the Severityof CAD To further evaluate the association between plasmamiR-10a levels and the severity of CAD we performed asubanalysis in CAD population (119899 = 60) Severity of CADwas evaluated with the type of CAD and SYNTAX scorein this study Firstly we analyzed plasma miR-10a level indifferent groups including STEMI UAPNSTEMI or SAPFigure 2 showed that in STEMI group miR-10a expressionlevels were downregulated as compared with UAPNSTEMIand SAP group but no significant difference was detectedbetween UAPNSTEMI and SAP group On the basis of theirSYNTAX scores CAD patients were again divided into threegroups low (SYNTAX score lt 23 119899 = 28) intermediate(SYNTAX score 23ndash32 119899 = 22) and high (SYNTAX score gt32 119899 = 10) and the plasma miR-10a levels in each groupwere analyzedThe results showed that patients in group withhigh SYNTAX score had significantly lower miR-10a levelsand no significant difference was observed between groupswith low and intermediate SYNTAX score (Figure 3) Lowerplasma miR-10a levels were negatively associated with higherSYNTAX scores (Pearsonrsquos 119877 = minus0569 119875 = 0000) (Figure 4)These results indicated decreased plasma miR-10a levels withincrease in severity and complexity of CAD
4 Discussion
MicroRNAs (miRNAs) are a class of sim22 nucleotides longnoncoding RNAs which regulate gene expression at the
Table 2 Correlation of miR-10a expression with clinical character-istics in CAD patients
Variable Normal expression Low expression 1205942 PTotal (119873 = 60)Sex 0423 0515Male (45) 15 30Female (15) 3 12
Age (years) 1188 0276le60 (19) 8 11gt60 (41) 10 31
Body mass index 0060 08061ge24 (42) 13 29lt24 (18) 5 13
Smoking 3178 0075Yes (42) 16 26No (18) 2 16
History of family 0000 1000Yes (14) 4 10No (46) 14 32
Diabetes mellitus 0037 0848Yes (16) 4 12No (44) 14 30
Hypertension 0007 0934Yes (52) 15 37No (8) 3 5
Dyslipidemia 3178 0075Yes (42) 16 26No (18) 2 16
posttranscriptional level by binding with the 31015840-untranslatedregion (31015840-UTR) of their target genes [4] miRNAs have beendemonstrated to play vital roles in initiation and developmentof many diseases such as cancers autoimmune diseasesand CAD [4 8 9] Recent studies have also shown thatcirculating miRNAs can act as novel biomarkers for thediagnosis and prognosis of these diseases [5 6 8] CAD iscurrently considered as one major cause of death worldwide[1 2] CAD is mainly driven by atherosclerosis which ischaracterized as a chronic inflammation [3] Therefore it isimportant to identify potential biomarkers of estimating thepresence and the severity of CAD
miR-10a had been found to be lower in the atherosuscep-tible regions of the inner aortic arch and aortorenal branchesthan elsewhere and to regulate inflammatory responses inatherosclerosis susceptible endothelium [7] CAD is mainlycaused by atherosclerosis which is considered as a chronicinflammation in response to cholesterol accumulation in thearterial wall Therefore we speculated that aberrant miR-10a expression may be involved in CAD Several studieshave shown that circulating miRNAs can serve as poten-tial biomarkers for CAD [5 6] In the present study wedemonstrated that plasma miR-10a levels were significantlydownregulated in CADpatients as comparedwith non-CADcontrols Our findings also indicated that downregulated
4 Disease Markers
00
05
10
15
miR
-10a
relat
ive e
xpre
ssio
n
Low(n = 28)
Intermediate(n = 22)
High(n = 10)
P lt 00001
SYNTAX score groups (low = lt23 intermediate = 23ndash32 high = gt32)
P = 01537 P = 00014
Overall P = 00002
Figure 3 Plasma miR-10a levels among different SYNTAX groupsPlasma miR-10a levels were detected among different SYNTAXgroups including low (SYNTAX score lt 23 119899 = 28) intermediate(SYNTAX score 23ndash32 119899 = 22) and high (SYNTAX score gt 32 119899 =10) by qRT-PCRThe expression levels of miR-10a were normalizedto RNU6B 119875 values were calculated using Studentrsquos 119905-test Overall 119875values were calculated using one-way ANOVA
0 10 20 30 40 50 6000
02
04
06
08
10
12
14
miR
-10a
relat
ive e
xpre
ssio
n
SYNTAX score
Pearsonrsquos R = minus0569 P = 0000
Figure 4 Correlation between SYNTAX score and plasma miR-10a miR-10a was negatively associated with SYNTAX score in CADpatients
miR-10a levels are correlated with the severity of CAD Fur-thermore we found that lower miR-10a levels were negativelyassociated with the severity of CAD especially patients withSTEMI and high SYNTAX score which indicates that miR-10a may serve as potential biomarkers of the severity of CAD
Exosomes are small membrane-bound vesicles secretedby most cell types including endothelial cells blood cellsimmune cells and tumor cells [10] Exosomes contain variousfunctional proteins mRNAs andmiRNAs that could be usedfor diagnostic and therapeutic purposes in many diseasessuch as CAD [10] Herein we demonstrated that plasmamiR-10a is downregulated in CAD Presumably the plasma miR-10a is in the plasma exosomes Because the coronary tissue
accounts for only a tiny fraction of the systemic vascularcontribution of plasma exosomes it is likely that the dataof our study may not reflect the association of miR-10a andCAD However all subjects including patients and controlswith a history and clinical features of acute or chronicinfectious disease lung diseases liver disease and kidneydisease malignant tumor and autoimmune diseases andpatients who took anti-inflammatory drugs were excludedfrom this study In addition our team also determined theexpression levels of plasma miR-10a in patients with heartfailure and peripheral arterial disease but no significantdifference was observed between them and healthy controls(the results were not shown in the text) So we estimatedplasma miR-10a as a biomarker of CAD Certainly furtherstudies that indicate the association of miR-10a and CADdirectly are required
Our study had several limitations Firstly it was asingle-center study which involved a small sample size andthe distribution of patients in CAD and non-CAD groupswas uneven Therefore the results of this study might beinterpreted with caution and large-scale multicenter studieswould be required to further illustrate miR-10a as a potentialmarker in CAD Secondly in this study we could not clarifythe mechanisms of association between lower miR-10a levelsin the plasma and CAD severity and so some biologicalstudies are also required
In conclusion plasma miR-10a levels are significantlylower in patients with CAD when compared with non-CADsubjects and this decrease is negatively associated with theseverity of CAD Our study may provide further evidence forclinical implications in the diagnosis of CAD
Competing Interests
The authors have not declared any competing interests
Authorsrsquo Contributions
Liyun Luo and Bairong Chen contributed equally to thiswork
References
[1] D Mozaffarian E J Benjamin A S Go et al ldquoHeart diseaseand stroke statisticsmdash2015 update a report from the AmericanHeart Associationrdquo Circulation vol 131 no 4 pp e29ndashe3222015
[2] R W Yeh S Sidney M Chandra M Sorel J V Selby and A SGo ldquoPopulation trends in the incidence and outcomes of acutemyocardial infarctionrdquo The New England Journal of Medicinevol 362 no 23 pp 2155ndash2165 2010
[3] M Barton R Minotti and E Haas ldquoInflammation andatherosclerosisrdquo Circulation Research vol 101 no 8 pp 750ndash751 2007
[4] I Andreou X Sun P H Stone E R Edelman and MW Feinberg ldquomiRNAs in atherosclerotic plaque initiationprogression and rupturerdquoTrends inMolecularMedicine vol 21no 5 pp 307ndash318 2015
Disease Markers 5
[5] C Li F Pei X Zhu D D Duan and C Zeng ldquoCirculatingmicroRNAs as novel and sensitive biomarkers of acute myocar-dial infarctionrdquo Clinical Biochemistry vol 45 no 10-11 pp 727ndash732 2012
[6] M Li and J Zhang ldquoCirculating MicroRNAs potential andemerging biomarkers for diagnosis of cardiovascular and cere-brovascular diseasesrdquo BioMed Research International vol 2015Article ID 730535 9 pages 2015
[7] Y Fang C Shi E Manduchi M Civelek and P F DaviesldquoMicroRNA-10a regulation of proinflammatory phenotype inathero-susceptible endothelium in vivo and in vitrordquo Proceed-ings of the National Academy of Sciences of the United States ofAmerica vol 107 no 30 pp 13450ndash13455 2010
[8] K A Hyun J Kim H Gwak and H I Jung ldquoIsolation andenrichment of circulating biomarkers for cancer screeningdetection and diagnosticsrdquoTheAnalyst vol 141 no 2 pp 382ndash392 2016
[9] Z Zhang and R Zhang ldquoEpigenetics in autoimmune dis-eases pathogenesis and prospects for therapyrdquo AutoimmunityReviews vol 14 no 10 pp 854ndash863 2015
[10] S Ailawadi X Wang H Gu and G-C Fan ldquoPathologic func-tion and therapeutic potential of exosomes in cardiovasculardiseaserdquo Biochimica et Biophysica Acta (BBA)mdashMolecular Basisof Disease vol 1852 no 1 pp 1ndash11 2015
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Disease Markers 3
00
05
10
15
20
miR
-10a
relat
ive e
xpre
ssio
n
STEMI NSTEMIUAP SAP Non-CAD
P lt 00001
P lt 00001
P lt 00001
P = 00081
P = 00136 P = 09241
Figure 2 Plasma miR-10a levels among different clinical pre-sentation of CAD Plasma miR-10a levels were detected amongdifferent clinical presentation of CAD including STEMI (119899 = 14)UAPNSTEMI (119899 = 17) or SAP (119899 = 29) by qRT-PCR Theexpression levels of miR-10a were normalized to RNU6B 119875 valueswere calculated using Studentrsquos 119905-test
analysis showed that there was no significant association ofclinical variables and miR-10a (Table 2)
34 Plasma miR-10a Levels Were Associated with the Severityof CAD To further evaluate the association between plasmamiR-10a levels and the severity of CAD we performed asubanalysis in CAD population (119899 = 60) Severity of CADwas evaluated with the type of CAD and SYNTAX scorein this study Firstly we analyzed plasma miR-10a level indifferent groups including STEMI UAPNSTEMI or SAPFigure 2 showed that in STEMI group miR-10a expressionlevels were downregulated as compared with UAPNSTEMIand SAP group but no significant difference was detectedbetween UAPNSTEMI and SAP group On the basis of theirSYNTAX scores CAD patients were again divided into threegroups low (SYNTAX score lt 23 119899 = 28) intermediate(SYNTAX score 23ndash32 119899 = 22) and high (SYNTAX score gt32 119899 = 10) and the plasma miR-10a levels in each groupwere analyzedThe results showed that patients in group withhigh SYNTAX score had significantly lower miR-10a levelsand no significant difference was observed between groupswith low and intermediate SYNTAX score (Figure 3) Lowerplasma miR-10a levels were negatively associated with higherSYNTAX scores (Pearsonrsquos 119877 = minus0569 119875 = 0000) (Figure 4)These results indicated decreased plasma miR-10a levels withincrease in severity and complexity of CAD
4 Discussion
MicroRNAs (miRNAs) are a class of sim22 nucleotides longnoncoding RNAs which regulate gene expression at the
Table 2 Correlation of miR-10a expression with clinical character-istics in CAD patients
Variable Normal expression Low expression 1205942 PTotal (119873 = 60)Sex 0423 0515Male (45) 15 30Female (15) 3 12
Age (years) 1188 0276le60 (19) 8 11gt60 (41) 10 31
Body mass index 0060 08061ge24 (42) 13 29lt24 (18) 5 13
Smoking 3178 0075Yes (42) 16 26No (18) 2 16
History of family 0000 1000Yes (14) 4 10No (46) 14 32
Diabetes mellitus 0037 0848Yes (16) 4 12No (44) 14 30
Hypertension 0007 0934Yes (52) 15 37No (8) 3 5
Dyslipidemia 3178 0075Yes (42) 16 26No (18) 2 16
posttranscriptional level by binding with the 31015840-untranslatedregion (31015840-UTR) of their target genes [4] miRNAs have beendemonstrated to play vital roles in initiation and developmentof many diseases such as cancers autoimmune diseasesand CAD [4 8 9] Recent studies have also shown thatcirculating miRNAs can act as novel biomarkers for thediagnosis and prognosis of these diseases [5 6 8] CAD iscurrently considered as one major cause of death worldwide[1 2] CAD is mainly driven by atherosclerosis which ischaracterized as a chronic inflammation [3] Therefore it isimportant to identify potential biomarkers of estimating thepresence and the severity of CAD
miR-10a had been found to be lower in the atherosuscep-tible regions of the inner aortic arch and aortorenal branchesthan elsewhere and to regulate inflammatory responses inatherosclerosis susceptible endothelium [7] CAD is mainlycaused by atherosclerosis which is considered as a chronicinflammation in response to cholesterol accumulation in thearterial wall Therefore we speculated that aberrant miR-10a expression may be involved in CAD Several studieshave shown that circulating miRNAs can serve as poten-tial biomarkers for CAD [5 6] In the present study wedemonstrated that plasma miR-10a levels were significantlydownregulated in CADpatients as comparedwith non-CADcontrols Our findings also indicated that downregulated
4 Disease Markers
00
05
10
15
miR
-10a
relat
ive e
xpre
ssio
n
Low(n = 28)
Intermediate(n = 22)
High(n = 10)
P lt 00001
SYNTAX score groups (low = lt23 intermediate = 23ndash32 high = gt32)
P = 01537 P = 00014
Overall P = 00002
Figure 3 Plasma miR-10a levels among different SYNTAX groupsPlasma miR-10a levels were detected among different SYNTAXgroups including low (SYNTAX score lt 23 119899 = 28) intermediate(SYNTAX score 23ndash32 119899 = 22) and high (SYNTAX score gt 32 119899 =10) by qRT-PCRThe expression levels of miR-10a were normalizedto RNU6B 119875 values were calculated using Studentrsquos 119905-test Overall 119875values were calculated using one-way ANOVA
0 10 20 30 40 50 6000
02
04
06
08
10
12
14
miR
-10a
relat
ive e
xpre
ssio
n
SYNTAX score
Pearsonrsquos R = minus0569 P = 0000
Figure 4 Correlation between SYNTAX score and plasma miR-10a miR-10a was negatively associated with SYNTAX score in CADpatients
miR-10a levels are correlated with the severity of CAD Fur-thermore we found that lower miR-10a levels were negativelyassociated with the severity of CAD especially patients withSTEMI and high SYNTAX score which indicates that miR-10a may serve as potential biomarkers of the severity of CAD
Exosomes are small membrane-bound vesicles secretedby most cell types including endothelial cells blood cellsimmune cells and tumor cells [10] Exosomes contain variousfunctional proteins mRNAs andmiRNAs that could be usedfor diagnostic and therapeutic purposes in many diseasessuch as CAD [10] Herein we demonstrated that plasmamiR-10a is downregulated in CAD Presumably the plasma miR-10a is in the plasma exosomes Because the coronary tissue
accounts for only a tiny fraction of the systemic vascularcontribution of plasma exosomes it is likely that the dataof our study may not reflect the association of miR-10a andCAD However all subjects including patients and controlswith a history and clinical features of acute or chronicinfectious disease lung diseases liver disease and kidneydisease malignant tumor and autoimmune diseases andpatients who took anti-inflammatory drugs were excludedfrom this study In addition our team also determined theexpression levels of plasma miR-10a in patients with heartfailure and peripheral arterial disease but no significantdifference was observed between them and healthy controls(the results were not shown in the text) So we estimatedplasma miR-10a as a biomarker of CAD Certainly furtherstudies that indicate the association of miR-10a and CADdirectly are required
Our study had several limitations Firstly it was asingle-center study which involved a small sample size andthe distribution of patients in CAD and non-CAD groupswas uneven Therefore the results of this study might beinterpreted with caution and large-scale multicenter studieswould be required to further illustrate miR-10a as a potentialmarker in CAD Secondly in this study we could not clarifythe mechanisms of association between lower miR-10a levelsin the plasma and CAD severity and so some biologicalstudies are also required
In conclusion plasma miR-10a levels are significantlylower in patients with CAD when compared with non-CADsubjects and this decrease is negatively associated with theseverity of CAD Our study may provide further evidence forclinical implications in the diagnosis of CAD
Competing Interests
The authors have not declared any competing interests
Authorsrsquo Contributions
Liyun Luo and Bairong Chen contributed equally to thiswork
References
[1] D Mozaffarian E J Benjamin A S Go et al ldquoHeart diseaseand stroke statisticsmdash2015 update a report from the AmericanHeart Associationrdquo Circulation vol 131 no 4 pp e29ndashe3222015
[2] R W Yeh S Sidney M Chandra M Sorel J V Selby and A SGo ldquoPopulation trends in the incidence and outcomes of acutemyocardial infarctionrdquo The New England Journal of Medicinevol 362 no 23 pp 2155ndash2165 2010
[3] M Barton R Minotti and E Haas ldquoInflammation andatherosclerosisrdquo Circulation Research vol 101 no 8 pp 750ndash751 2007
[4] I Andreou X Sun P H Stone E R Edelman and MW Feinberg ldquomiRNAs in atherosclerotic plaque initiationprogression and rupturerdquoTrends inMolecularMedicine vol 21no 5 pp 307ndash318 2015
Disease Markers 5
[5] C Li F Pei X Zhu D D Duan and C Zeng ldquoCirculatingmicroRNAs as novel and sensitive biomarkers of acute myocar-dial infarctionrdquo Clinical Biochemistry vol 45 no 10-11 pp 727ndash732 2012
[6] M Li and J Zhang ldquoCirculating MicroRNAs potential andemerging biomarkers for diagnosis of cardiovascular and cere-brovascular diseasesrdquo BioMed Research International vol 2015Article ID 730535 9 pages 2015
[7] Y Fang C Shi E Manduchi M Civelek and P F DaviesldquoMicroRNA-10a regulation of proinflammatory phenotype inathero-susceptible endothelium in vivo and in vitrordquo Proceed-ings of the National Academy of Sciences of the United States ofAmerica vol 107 no 30 pp 13450ndash13455 2010
[8] K A Hyun J Kim H Gwak and H I Jung ldquoIsolation andenrichment of circulating biomarkers for cancer screeningdetection and diagnosticsrdquoTheAnalyst vol 141 no 2 pp 382ndash392 2016
[9] Z Zhang and R Zhang ldquoEpigenetics in autoimmune dis-eases pathogenesis and prospects for therapyrdquo AutoimmunityReviews vol 14 no 10 pp 854ndash863 2015
[10] S Ailawadi X Wang H Gu and G-C Fan ldquoPathologic func-tion and therapeutic potential of exosomes in cardiovasculardiseaserdquo Biochimica et Biophysica Acta (BBA)mdashMolecular Basisof Disease vol 1852 no 1 pp 1ndash11 2015
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
4 Disease Markers
00
05
10
15
miR
-10a
relat
ive e
xpre
ssio
n
Low(n = 28)
Intermediate(n = 22)
High(n = 10)
P lt 00001
SYNTAX score groups (low = lt23 intermediate = 23ndash32 high = gt32)
P = 01537 P = 00014
Overall P = 00002
Figure 3 Plasma miR-10a levels among different SYNTAX groupsPlasma miR-10a levels were detected among different SYNTAXgroups including low (SYNTAX score lt 23 119899 = 28) intermediate(SYNTAX score 23ndash32 119899 = 22) and high (SYNTAX score gt 32 119899 =10) by qRT-PCRThe expression levels of miR-10a were normalizedto RNU6B 119875 values were calculated using Studentrsquos 119905-test Overall 119875values were calculated using one-way ANOVA
0 10 20 30 40 50 6000
02
04
06
08
10
12
14
miR
-10a
relat
ive e
xpre
ssio
n
SYNTAX score
Pearsonrsquos R = minus0569 P = 0000
Figure 4 Correlation between SYNTAX score and plasma miR-10a miR-10a was negatively associated with SYNTAX score in CADpatients
miR-10a levels are correlated with the severity of CAD Fur-thermore we found that lower miR-10a levels were negativelyassociated with the severity of CAD especially patients withSTEMI and high SYNTAX score which indicates that miR-10a may serve as potential biomarkers of the severity of CAD
Exosomes are small membrane-bound vesicles secretedby most cell types including endothelial cells blood cellsimmune cells and tumor cells [10] Exosomes contain variousfunctional proteins mRNAs andmiRNAs that could be usedfor diagnostic and therapeutic purposes in many diseasessuch as CAD [10] Herein we demonstrated that plasmamiR-10a is downregulated in CAD Presumably the plasma miR-10a is in the plasma exosomes Because the coronary tissue
accounts for only a tiny fraction of the systemic vascularcontribution of plasma exosomes it is likely that the dataof our study may not reflect the association of miR-10a andCAD However all subjects including patients and controlswith a history and clinical features of acute or chronicinfectious disease lung diseases liver disease and kidneydisease malignant tumor and autoimmune diseases andpatients who took anti-inflammatory drugs were excludedfrom this study In addition our team also determined theexpression levels of plasma miR-10a in patients with heartfailure and peripheral arterial disease but no significantdifference was observed between them and healthy controls(the results were not shown in the text) So we estimatedplasma miR-10a as a biomarker of CAD Certainly furtherstudies that indicate the association of miR-10a and CADdirectly are required
Our study had several limitations Firstly it was asingle-center study which involved a small sample size andthe distribution of patients in CAD and non-CAD groupswas uneven Therefore the results of this study might beinterpreted with caution and large-scale multicenter studieswould be required to further illustrate miR-10a as a potentialmarker in CAD Secondly in this study we could not clarifythe mechanisms of association between lower miR-10a levelsin the plasma and CAD severity and so some biologicalstudies are also required
In conclusion plasma miR-10a levels are significantlylower in patients with CAD when compared with non-CADsubjects and this decrease is negatively associated with theseverity of CAD Our study may provide further evidence forclinical implications in the diagnosis of CAD
Competing Interests
The authors have not declared any competing interests
Authorsrsquo Contributions
Liyun Luo and Bairong Chen contributed equally to thiswork
References
[1] D Mozaffarian E J Benjamin A S Go et al ldquoHeart diseaseand stroke statisticsmdash2015 update a report from the AmericanHeart Associationrdquo Circulation vol 131 no 4 pp e29ndashe3222015
[2] R W Yeh S Sidney M Chandra M Sorel J V Selby and A SGo ldquoPopulation trends in the incidence and outcomes of acutemyocardial infarctionrdquo The New England Journal of Medicinevol 362 no 23 pp 2155ndash2165 2010
[3] M Barton R Minotti and E Haas ldquoInflammation andatherosclerosisrdquo Circulation Research vol 101 no 8 pp 750ndash751 2007
[4] I Andreou X Sun P H Stone E R Edelman and MW Feinberg ldquomiRNAs in atherosclerotic plaque initiationprogression and rupturerdquoTrends inMolecularMedicine vol 21no 5 pp 307ndash318 2015
Disease Markers 5
[5] C Li F Pei X Zhu D D Duan and C Zeng ldquoCirculatingmicroRNAs as novel and sensitive biomarkers of acute myocar-dial infarctionrdquo Clinical Biochemistry vol 45 no 10-11 pp 727ndash732 2012
[6] M Li and J Zhang ldquoCirculating MicroRNAs potential andemerging biomarkers for diagnosis of cardiovascular and cere-brovascular diseasesrdquo BioMed Research International vol 2015Article ID 730535 9 pages 2015
[7] Y Fang C Shi E Manduchi M Civelek and P F DaviesldquoMicroRNA-10a regulation of proinflammatory phenotype inathero-susceptible endothelium in vivo and in vitrordquo Proceed-ings of the National Academy of Sciences of the United States ofAmerica vol 107 no 30 pp 13450ndash13455 2010
[8] K A Hyun J Kim H Gwak and H I Jung ldquoIsolation andenrichment of circulating biomarkers for cancer screeningdetection and diagnosticsrdquoTheAnalyst vol 141 no 2 pp 382ndash392 2016
[9] Z Zhang and R Zhang ldquoEpigenetics in autoimmune dis-eases pathogenesis and prospects for therapyrdquo AutoimmunityReviews vol 14 no 10 pp 854ndash863 2015
[10] S Ailawadi X Wang H Gu and G-C Fan ldquoPathologic func-tion and therapeutic potential of exosomes in cardiovasculardiseaserdquo Biochimica et Biophysica Acta (BBA)mdashMolecular Basisof Disease vol 1852 no 1 pp 1ndash11 2015
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Disease Markers 5
[5] C Li F Pei X Zhu D D Duan and C Zeng ldquoCirculatingmicroRNAs as novel and sensitive biomarkers of acute myocar-dial infarctionrdquo Clinical Biochemistry vol 45 no 10-11 pp 727ndash732 2012
[6] M Li and J Zhang ldquoCirculating MicroRNAs potential andemerging biomarkers for diagnosis of cardiovascular and cere-brovascular diseasesrdquo BioMed Research International vol 2015Article ID 730535 9 pages 2015
[7] Y Fang C Shi E Manduchi M Civelek and P F DaviesldquoMicroRNA-10a regulation of proinflammatory phenotype inathero-susceptible endothelium in vivo and in vitrordquo Proceed-ings of the National Academy of Sciences of the United States ofAmerica vol 107 no 30 pp 13450ndash13455 2010
[8] K A Hyun J Kim H Gwak and H I Jung ldquoIsolation andenrichment of circulating biomarkers for cancer screeningdetection and diagnosticsrdquoTheAnalyst vol 141 no 2 pp 382ndash392 2016
[9] Z Zhang and R Zhang ldquoEpigenetics in autoimmune dis-eases pathogenesis and prospects for therapyrdquo AutoimmunityReviews vol 14 no 10 pp 854ndash863 2015
[10] S Ailawadi X Wang H Gu and G-C Fan ldquoPathologic func-tion and therapeutic potential of exosomes in cardiovasculardiseaserdquo Biochimica et Biophysica Acta (BBA)mdashMolecular Basisof Disease vol 1852 no 1 pp 1ndash11 2015
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
Submit your manuscripts athttpwwwhindawicom
Stem CellsInternational
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
MEDIATORSINFLAMMATION
of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Behavioural Neurology
EndocrinologyInternational Journal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Disease Markers
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
BioMed Research International
OncologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Oxidative Medicine and Cellular Longevity
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
PPAR Research
The Scientific World JournalHindawi Publishing Corporation httpwwwhindawicom Volume 2014
Immunology ResearchHindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Journal of
ObesityJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Computational and Mathematical Methods in Medicine
OphthalmologyJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Diabetes ResearchJournal of
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Research and TreatmentAIDS
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Gastroenterology Research and Practice
Hindawi Publishing Corporationhttpwwwhindawicom Volume 2014
Parkinsonrsquos Disease
Evidence-Based Complementary and Alternative Medicine
Volume 2014Hindawi Publishing Corporationhttpwwwhindawicom
top related