CN108774641A - Coronary heart disease lncRNA expression spectrum discrimination identification biomarkers and related application - Google Patents

Coronary heart disease lncRNA expression spectrum discrimination identification biomarkers and related application Download PDF

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CN108774641A
CN108774641A CN201810637044.3A CN201810637044A CN108774641A CN 108774641 A CN108774641 A CN 108774641A CN 201810637044 A CN201810637044 A CN 201810637044A CN 108774641 A CN108774641 A CN 108774641A
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expression
lncrna
heart disease
coronary heart
uc010yfd
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顾东风
王来元
鲁向锋
李宏帆
陈恕凤
陈纪春
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Fuwai Hospital of CAMS and PUMC
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Abstract

The present invention provides coronary heart disease lncRNA expression spectrum discrimination identification biomarkers and related applications;Specifically, the application the present invention provides the reagent material and/or instrument and equipment of following lncRNA levels in sample of the detection from test individual in preparing the detecting system for diagnosis of coronary heart disease risk:ENST00000444488.1 and/or uc010yfd.1.The expression of ENST00000444488.1 increases, the expression of uc010yfd.1 declines, and test individual coronary heart disease risk increases.

Description

Coronary heart disease lncRNA expression spectrum discrimination identification biomarkers and related application
Technical field
The present invention relates to coronary heart disease lncRNA expression spectrum discrimination identification biomarkers and related applications, specifically, The present invention relates to the lncRNA's of 7 differential expressions such as ENST00000444488.1 in sample of the detection from test individual Application of the horizontal reagent material and/or instrument and equipment in preparing the detecting system for assessing coronary heart disease risk, also It is related to a kind of detecting system of assessment incidence of coronary heart disease risk.
Background technology
Coronary heart disease (coronary artery disease, CAD) is the first fatal disease in global range, including its In with serious complicated famous acute myocardial infarction (acute myocardial infarction, AMI), be to lead to global people The main reason for mouth morbidity and death.《Chinese cardiovascular disease report 2017》Report display, China's CAD illness rates are total within 2013 It has been the ascendant trend since Chinese cities in 10.2 ‰, 2015 and rural resident's coronary heart disease death rate continue 2012.Although close In a little year world wides, prevention, drug and the intervention policy aspect of coronary heart disease all have made great progress, but of cardiovascular disease Body, medical treatment & health and social economical burden are still gradually aggravating, and situation allows of no optimist.Therefore, the diagnostic work of coronary heart disease is particularly Important, in molecular biology level, screening biomarker will be helpful to better diagnose coronary heart disease, also can be to coronary heart disease Pathogenesis and the new targeted therapy means of research be provided with and help positively.
Atherosclerosis is the principal pathogenetic mechanism of coronary heart disease, while being also a kind of chronic inflammatory diseases.Cardiovascular disease The chronic dangers factor long-time stimulus blood vessel endothelium such as risk factor, including hypertension, dyslipidemia, smoking, excessive consumption of alcohol increases Oxidative pressure induces inflammatory reaction, leads to Endothelial Dysfunction, promotes the generation of atherosclerosis;Subsequent foam cells shape At, smooth muscle cell proliferation and to subendothelial migration, fibrous plaque is promoted to be formed;Inflammatory reaction aggravates, and leads to plaque rupture, blood Bolt is formed, and acute coronary syndrome (acute coronary syndrome, ACS) is caused.Thus, atherosclerosis Process is actually the complex process for the interaction that different type cell participates in, by different encoding genes and non-coding base Because of regulation and control (Wierda, RJ, Geutskens, SB, Jukema, JW, et al., Epigenetics in atherosclerosis and inflammation,J Cell Mol Med,2010;14:1225-1240).
Long-chain non-coding RNA (long non-coding RNA, lncRNA) be a kind of transcript length be more than 200nt and The RNA molecule of albumen is not encoded, is guarded and is spent relatively low and there is species specificity.Multinomial research has shown that lncRNAs participates in such as cell Transduction, chromosome modification, transcription and translational control and the pathogenetic biological processes of a variety of diseases, in atherosclerosis Endothelial Dysfunction, Phenotypic Change of Smooth Muscle Cells, reverse cholesterol transport, foam wanshing and vascular inflammation etc. All there is important regulating and controlling effect (Zhou, T, Ding, JW, Wang, XA, et al., Long noncoding RNAs and atherosclerosis,Atherosclerosis,2016;248:51-61).Myocardial infarction is associated with transcript (myocardial Infarction associated transcript, MIAT) be earliest identification AMI risk factors lncRNA, it is single The expression that mononucleotide polymorphism site (Single Nucleotide Polymorphism, SNP) can change MIAT, causes To neurological susceptibility (Ishii, N, Ozaki, K, Sato, H, et al., Identification of a the novel non-of AMI coding RNA,MIAT,that confers risk of myocardial infarction,Journal of human genetics,2006;51:1087-1099).Coronary heart disease genome-wide association study (genome-wide association Studies, GWAS) display be located at 21 region of chromosome 9p be strongest coronary heart disease susceptibility regions (Helgadottir, A, Thorleifsson,G,Manolescu,A,et al.,A common variant on chromosome 9p21affects the risk of myocardial infarction,Science(New York,N.Y.),2007;316:1491-1493; McPherson,R,Pertsemlidis,A,Kavaslar,N,et al.,A common allele on chromosome 9associated with coronary heart disease,Science(New York,N.Y.),2007;316:1488- 1491;Samani,NJ,Erdmann,J,Hall,AS,et al.,Genomewide association analysis of coronary artery disease,The New England journal of medicine,2007;357:443- 453), this region includes NAINK4 antisense non-coding RNA ANRIL (antisense non-coing of a functional r RNA in the INK4locus, ANRIL), to have the function of in cardiovascular disease direct regulation and control (Holdt, LM, Hoffmann, S,Sass,K,et al.,Alu elements in ANRIL non-coding RNA at chromosome 9p21modulate atherogenic cell functions through trans-regulation of gene networks,PLoS genetics,2013;9:e1003588).It is multinomial that researches show that ANRIL includes atherosclerotic process In vascular endothelial cell, smooth muscle cell, macrophage, express in inflammatory cell and arteria carotis communis, cis regulatory target base Cause promotes cell Proliferation, and Apoptosis, phenotype is inhibited to meet the performance of atherosclerosis.
To explain how lncRNA participates in the occurrence and development of regulation and control CAD, the systematically Recognition Different table in patients with coronary artery disease The lncRNAs reached, screening have potential functionality lncRNA as biomarker, further explaining it in artery congee Effect in sample hardening mechanism will be very necessary.It is based on classical symptom, electrocardiogram and myocardium calcium at present to the diagnosis of coronary heart disease Albumen (cTnI and cTnT) is made, but these diagnostic methods all respectively have its limitation and deficiency.Therefore, new, sensibility is found And the better biomarker of special row, coronary heart disease is diagnosed, is of great significance.
Invention content
It is an object of the present invention to find the biological marker of new, sensibility and the better diagnosis of coronary heart disease of special row Object.
During inventor studies at one, by lncRNA/mRNA chip analysis, it is horizontal to obtain coronary heart disease full-length genome LncRNA/mRNA express spectras include the mRNAs of lncRNAs and 890 differential expression of 1210 differential expressions.The present invention selects The lncRNA of 7 differential expressions is taken:ENST00000444488.1,uc010yfd.1,ASO3973, ENST00000602558.1, ENST00000561165.1, RNA147299_p0403_imsncRNA819 and ENST00000415255.1, this 7 differential expression of repeated authentication in independent coronary heart disease case-control large sample LncRNA, consistent with chip of expression spectrum result, wherein ENST00000444488.1 is significantly increased to 2.6 in CAD groups PBMCs (P again<0.01), uc010yfd.1, ASO3973, ENST00000602558.1, ENST00000561165.1, RNA147299_ P0403_imsncRNA819 and ENST00000415255.1 is remarkably decreased in the PBMCs of CAD groups respectively to 37%, 81%, 79%, 87%, 83% and 65% (P<0.01).It is analyzed by ROC curve, 6 lncRNAs (ENST00000444488.1, Uc010yfd.1, ASO3973, ENST00000602558.1, ENST00000561165.1 and RNA147299_p0403_ ImsncRNA819 AUC) is 0.599-0.799, the efficiency with certain diagnosis of coronary heart disease.Wherein The AUC of ENST00000444488.1 and uc010yfd.1 is respectively 0.799 (0.762-0.837) and 0.779 (0.744- 0.815).The AUC of combination ENST00000444488.1 and uc010yfd.1 rises to 0.851 (0.819-0.884), sensitivity It is 0.707, specificity 0.844 has higher diagnostic value.Therefore, ENST00000444488.1 and uc010yfd.1 can Using as new lncRNA biomarkers;Further combined with age, the mould of tetra- BMI, blood glucose and HDL common risk factors Type, ROC curve area AUC is up to 0.902 (0.876-0.928), susceptibility 0.736, specificity 0.922, therefore is somebody's turn to do Model has higher diagnostic.412 patients with coronary heart disease of independent large sample include that 290 AMI patients and 122 are non- AMI patient, compared with non-AMI, ENST00000444488.1 is expressed in AMI patient is significantly increased to 1.5 times, ROC curve point The results show that its AUC is 0.758 (0.716-0.800), susceptibility 0.632, specificity 0.773 shows for analysis ENST00000444488.1 has the efficiency of diagnosis AMI.
To, on the one hand, the application the present invention provides following lncRNA as the biomarker of diagnosis of coronary heart disease:
ENST00000444488.1 and/or uc010yfd.1.
On the other hand, the present invention also provides the reagent materials of following lncRNA levels in sample of the detection from test individual The application of material and/or instrument and equipment in preparing the detecting system for diagnosis of coronary heart disease risk:
ENST00000444488.1 and/or uc010yfd.1.
Specific embodiment according to the present invention, ASO3973, ENST00000602558.1, ENST00000561165.1, RNA147299_p0403_imsncRNA819 and/or ENST00000415255.1 can be used for assisting ENST00000444488.1 And/or the further diagnosis of coronary heart disease of uc010yfd.1.
Specific embodiment according to the present invention, lncRNA levels include expression in peripheral blood mononuclear cells.
Specific embodiment according to the present invention, in the related application of diagnosis of coronary heart disease of the invention, lncRNA includes ENST00000444488.1 and/or uc010yfd.1;Preferably further include ASO3973, ENST00000602558.1, One kind or more in ENST00000561165.1, RNA147299_p0403_imsncRNA819 and ENST00000415255.1 Kind.
Specific embodiment according to the present invention, in the related application of diagnosis of coronary heart disease of the invention, lncRNA includes ENST00000444488.1.Preferably further include uc010yfd.1, ASO3973, ENST00000602558.1, One kind or more in ENST00000561165.1, RNA147299_p0403_imsncRNA819 and ENST00000415255.1 Kind.More preferably include uc010yfd.1;Further preferably include ASO3973, ENST00000602558.1, One kind or more in ENST00000561165.1, RNA147299_p0403_imsncRNA819 and ENST00000415255.1 Kind.
The expression of specific embodiment according to the present invention, ENST00000444488.1 increases, test individual coronary disease Sick risk increases.
The expression of specific embodiment according to the present invention, uc010yfd.1 reduces, test individual coronary heart disease illness Risk increases.
Specific embodiment according to the present invention, further, ASO3973, ENST00000602558.1, The expression of ENST00000561165.1, RNA147299_p0403_imsncRNA819 and/or ENST00000415255.1 It reduces, test individual coronary heart disease risk increases.
In the more specific embodiment of the present invention, the detecting system includes detection test individual The expression of ENST00000444488.1 and uc010yfd.1 and age, BMI, blood glucose and HDL situations.
On the other hand, the present invention also provides ENST00000444488.1 in sample of the detection from test individual is horizontal The application in preparing detecting system for diagnosing acute myocardial infarction risk of reagent material and/or instrument and equipment;
Preferably, the expression of ENST00000444488.1 increases, test individual acute myocardial infarction risk liter It is high.
On the other hand, the present invention also provides a kind of detecting systems of assessment incidence of coronary heart disease risk comprising:Detection comes The reagent material and/or instrument and equipment of following lncRNA levels from the sample of test individual:
ENST00000444488.1 and/or uc010yfd.1.Preferably, lncRNA include ENST00000444488.1 and uc010yfd.1;Preferably further include ASO3973, ENST00000602558.1, ENST00000561165.1, It is one or more in RNA147299_p0403_imsncRNA819 and ENST00000415255.1.
The expression of specific embodiment according to the present invention, ENST00000444488.1 increases, test individual coronary disease Sick risk increases.
Specific embodiment according to the present invention, the present invention in, the test individual be East Asia crowd, including Chinese, Filipino, Chinese American, the Singapore nationality foreign citizen of Chinese origin, Singapore nationality Malaysian etc..When specific detection, the sample may be from Blood, urine, saliva, gastric juice, hair or biopsy of test individual etc., preferably blood.
The expression of possible technique detection lncRNA any in this field can be used.
Specific embodiment according to the present invention, in of the invention, the reagent of the expression of the detection lncRNA Material and/or instrument and equipment can be the expression of any feasible detection lncRNA technology in used reagent Material and/or instrument and equipment etc..
Specific embodiment according to the present invention, the detecting system of assessment incidence of coronary heart disease risk of the invention comprising Detection unit and assessment unit, wherein:
The detection unit includes the reagent material for the expression for detecting lncRNA described in the sample from test individual Material and/or instrument and equipment, the testing result of the expression for obtaining test individual lncRNA;
The assessment unit includes the processing unit for carrying out assessment processing according to the testing result of detection unit.Its In, the expression of ENST00000444488.1 increases, the expression of uc010yfd.1 declines, test individual coronary disease sufferer Sick risk increases.
The detecting system of the assessment incidence of coronary heart disease risk of the present invention, can be virtual bench, as long as the inspection can be realized Survey the function of unit and assessment unit.The detection unit can be include various detection reagent materials and/or inspection Survey instrument and equipment etc.;The data analysis unit can any may be implemented to analyze the testing result of detection unit It handles and obtains operation instrument, module or the virtual unit of coronary heart disease risk assessment situation, such as can in advance will Various possible testing results data drawing list corresponding with corresponding risk situation formulation, by the testing result of detection unit Incidence of coronary heart disease risk evaluation result can be obtained by compareing the data drawing list.
Using the technology of the present invention, can the targeted therapy means new to the pathogenesis of coronary heart disease and research product is provided Pole helps.
Description of the drawings
Figure 1A-Fig. 1 D are biological express spectra differential expression lncRNA/mRNA clusterings and volcano figure.Wherein, Figure 1A:Difference Different expression lncRNAs;Figure 1B:Differential expression mRNAs;Y-axis:The hierarchical cluster of CAD case groups and control group;X-axis:lncRNAs With the hierarchical cluster of mRNAs expressions.The expression variation of green and the red lower reconciliation up-regulation for indicating significant difference respectively.Figure 1C:The volcanoes differential expression lncRNAs figure;Fig. 1 D:The volcanoes differential expression mRNAs figure;X-axis:log2(Fold Change);Y-axis: Log10 (correction P values).Red point and green point minute indicate lncRNAs or mRNAs significantly 2 times of up-regulations or downward.
Fig. 2A-Fig. 2 H show the analysis result of 7 differential expression lncRNAs of qRT-PCR repeated authentications.Wherein, Fig. 2A-figure 2G:412 coronary heart disease cases and lncRNA ENST00000444488.1, uc010yfd.1 in 295 normal healthy controls, ASO3973, ENST00000602558.1, ENST00000561165.1, ENST00000415255.1 and RNA147299_ The expression change level of p0403_imsncRNA819;Fig. 2 H:Tables of 7 lncRNAs screened in chip and qRT-PCR Compare up to multiple variation.Y-axis indicates that the case of log2 expresses multiple with contrast difference, and Healthy is control group, and CAD is coronary disease Sick case group, * * indicate compared with the control group, P<0.001.
Fig. 3 A- Fig. 3 D show that ROC curve analyzes lncRNAENST00000444488.1 and uc010yfd.1 in 412 CAD With the ROC curve areal analysis result in 295 normal healthy controls.Wherein, Fig. 3 A:The AUC of ENST00000444488.1;Fig. 3 B: The AUC of uc010yfd.1;Fig. 3 C:The AUC that ENST00000444488.1 and uc010yfd.1 is combined;Fig. 3 D:In conjunction with the age, The AUC of BMI, blood glucose and HDL and ENST00000444488.1 and uc010yfd.1 models.
Fig. 4 A- Fig. 4 D show 4 lncRNA areal analysis results under ROC curve in CAD.Wherein, Fig. 4 A: The AUC results of lncRNAENST00000602558.1;Fig. 4 B:The AUC results of ASO3973;Fig. 4 C:RNA147299_p0403_ The AUC results of imsncRNA819;Fig. 4 D:The AUC results of ENST00000561165.1.
Fig. 5 A and Fig. 5 B show that lncRNAENST00000444488.1 has value of diagnosis knot to acute myocardial infarction AMI Fruit.Wherein, Fig. 5 A:LncRNA ENST00000444488.1 expressions in patient AMI are analyzed;Fig. 5 B:lncRNA ROC curve analyses of the ENST00000444488.1 in AMI.
Specific implementation mode
For a clearer understanding of the present invention, the present invention is further described referring now to the following example.Embodiment is only used for It explains without limiting the invention in any way.
Test method without specific conditions is conventional method and normal condition known to fields in embodiment, or According to the condition proposed by manufacturer.
Embodiment one
The research experiment scheme of the present embodiment includes lncRNA cDNA microarray stages and repeated authentication stage.
The 1.lncRNA cDNA microarray stages:
Coronary heart disease case and normal healthy controls totally 141 are collected, healthy group, coronary heart disease case group are divided into, are applied AgilentlncRNA/mRNA Human Gene Expression Microarray V4.0 (4 × 180K), based on difference times Number>2, P values<0.05, predict target gene and with the screening criterias such as CAD or dyslipidemia susceptibility loci position relationship.This hair 7 lncRNAs that differential expression in coronary heart disease is picked out in bright, as the candidate lncRNAs further verified.
2. the repeated authentication stage:
707 coronary heart disease case-control repeated authentication samples (coronary heart disease case 412, healthy control group 295) are collected, The expression quantity of 7 candidate lncRNAs in the peripheral blood mononuclear cells (PBMCs) of case-control sample is detected using qRT-PCR, It therefrom screens 6 lncRNAs and carries out Subject characteristics' working curve analysis (receiver operating Characteristic curve, ROC).
3. coronary heart disease case-control study subject selects standard
This research approach is ratified by Fu Wai Hospital, Chinese Academy of Medical Sciences Ethics Committee, all people for participating in research Group object signs informed consent form.
3.1lncRNA/mRNA chip of expression spectrum samples
Coronary heart disease case-control lncRNA/mRNA chip research samples are 141 total, are male, wherein case group 93 Example, is to go to a doctor in May, 2014 in Fu Wai Hospital, Chinese Academy of Medical Sciences and be diagnosed as the patient of coronary heart disease in January, 2011.It is strong The healthy individuals that 48 samples of health control group are raised in June, 2014 in Shijingshan community from September, 2013.
3.2 qRT-PCR repeated authentication coronary heart disease case-control crowds
3.2.1 coronary heart disease case crowd
Case group is in January, 2011 to during in May, 2014, and Fu Wai Hospital, Chinese Academy of Medical Sciences recruits 412 CAD altogether Patient, case group inclusion criteria are as follows:
1) inclusion criteria:
A) Han nationality, male, age are 30-70 Sui;
Last diagnostic when b) according to discharge, including acute myocardial infarction (AMI), unstable angina pectoris (UA) and stabilization Type angina pectoris SA), underwent coronary radiography confirms, left coronary artery main stem >=50% is narrow or main narrow positions at least 70% narrow patients with coronary heart disease.Acute myocardial infarction AMI:Typical chest pain symptom, duration 30min or more, electrocardiogram have continuously 2 Lead ST elevation (limb leads >=0.1m, chest leads >=0.2mV) simultaneously have dynamic to change;Myocardial injury markers increase And higher than 2 times, 24 hours of normal value within the scope of have dynamic evolution.Unstable angina pectoris includes initial tired type, deterioration type And spontaneous angina.Stable angina cordis:The chest in short-term of induced generation when by movement or other increase myocardium requirementing keto quantities Pain is broken out, and is changed with ECG ST-T section, sublingual to swallow nitroglycerin or alleviate pain.
2) exclusion criteria:
If patient has following any type situation, excluded:1) congenital heart disease;2) rheumatic valvular disease; 3) cardiomyopathy;4) apoplexy;5) diabetes;6) malignant tumour;7) disease of acute or chronic infection;8) serious liver or kidney Dysfunction;9) secondary hypertension;10) thyroid disease;11) familial form hypercholesterolemia;12) cognition dysfunction, Dementia patients, cacopathia;13) without signature informed consent form.
3.2.2 healthy control group crowd
295 samples of healthy control group are raised from September, 2013 in June, 2014 in Shijingshan community and Henan Province Healthy individuals.Inclusion criteria:Age be 30-60 Sui, exclusion coronary heart disease, diabetes, heart valve disease, congenital heart disease, It is cardiomyopathy, heart failure, secondary hypertension, cerebral apoplexy, 2 grades of hypertension or more crowd, familial hypercholesterolemia, serious Kidney and liver diseases and thyroid disease.
4. subject's operating characteristic curve is analyzed
Subject's operation is carried out to the lncRNA expression quantity detection datas of patients with coronary artery disease and healthy control group repeated authentication Whether characteristic (ROC) tracing analysis, the lncRNA for studying coronary heart disease differential expression can be used as the potential diagnosis biology mark of coronary heart disease Will object.
5. experimental method
The main experimental methods used in embodiment include:
(1) separation of peripheral blood mononuclear cells (PBMCs)
1) use gradient centrifugation mode, by anticoagulated whole blood and Hank ' s liquid press 1:1 dilution proportion mixing;
2) the whole blood diluted by 2:1 ratio is slowly slowly layered on lymphocyte separation medium along centrifugation tube wall, room temperature Lower 2800g centrifuges 20min;
3) centrifuge tube is taken out, four layers will be divided into pipe, and (upper layer is blood plasma and Hank ' s liquid, and lowest level is red blood cell and grain Cell, middle level are lymphocyte separation medium, naked eyes visible white cloud thin layer between plasma layer and separating liquid, as rich Containing mononuclearcell and blood platelet);
4) after the blood plasma for sucking top layer, the mononuclearcell of plasma layer and lymphocyte separation medium interface is collected, to the greatest extent Amount draws whole PBMCs, is transferred in new centrifuge tube;
5) 12mlHank ' s liquid is added, after even suspension cell, 2250g low-temperature centrifugation 10min discard supernatant liquid, then weigh It is multiple primary;
6) 2250g centrifuges 3min, discards Hank ' the s liquid of upper layer remnants;
7) 1ml TRIzol are added into the PBMCs isolated, it is new to moving into one after uniformly slowly to blow and beat cell In Eppendorf pipes of the 1.5ml without RNase, preserved in -80 DEG C of ultra low temperature freezers.
(2) cell total rna extracts
It is cracked 5 minutes using TRIzol reagents after cell cleaning, then collects cell, 100 μ l isoamyls are added in each sample Alcohol:Chloroform (1:49) it, acutely rocks, waits for that stratification, centrifugation draw supernatant, the isometric isopropanol of supernatant is added, alcohol precipitation is produced - 80 DEG C of object is overnight.Next day will obtain RNA precipitate after its eccentric cleaning, be dissolved in DEPC water, with Nano Drop 2000 (Thermo Scientific, USA) measures RNA concentration.
(3) genomic DNA in RNA is eliminated
Using the TURBO DNase Treatment and Removal Reagents of Life Technologies companies Kit eliminates contaminating genomic DNA, and concrete operation step and system are as follows:
1) the RNA concentration measured according to NanoDrop 2000 calculates volume needed for 2 μ gRNA, according to as recorded in the following table 1 System configured:
Table 1
Reagent Dosage
RNA 2μg
TURBO Dnase Buffer 1.5μl
TURBO Dnase 0.34μl
Nuclease-free water Supply 13.2 μ l
2) 37 DEG C of incubation 30min;
3) 1.5 μ l DNase Inactivation Reagent are added, is stored at room temperature 5min, is flicked every 1.5min mixed Even 1 time;
4) 10000g centrifuges 90s, draws supernatant, uses NanoDrop2000 spectrophotometric determination RNA concentration.
(4) total serum IgE reverse transcription
Reverse transcription is carried out with Transcriptor First Strand cDNA (Roche, Switzerland) kit (method is according to kit proposed standard flow operations)
1) reaction system is as recorded in the following table 2:
Table 2
Reagent Volume
RNA 1μg
Transcripot RT Reaction Buffer 4μl
Deoxynucleotide Mix 2μl
Random Hexamer Primer 2μl
Protecor RNase Inhibitor 0.5μl
Transcriptor Reverse Transcriptase 0.5μl
RNAase-free water Supply 20 μ l
2) reaction condition is as recorded in the following table 3:
Table 3
Temperature Time
25℃ 10min
50℃ 1h
85℃ 5min
4℃ hold
It takes 10 μ l cDNA to carry out 4 times of dilutions, places it in -20 DEG C of preservations, remaining can be placed in -80 DEG C of Long-term Cryopreservations.
(5) real-time quantitative PCR (qRT-PCR)
LncRNA and its correlation are detected using ABI 7900T fluorescence quantitative PCR instruments (Applied Biosystems, USA) The mRNA level in-site of gene.Take 10 μ l using 4 times of diluted cDNA as template, 3 parallel holes, GAPDH conducts is arranged in each sample Reference gene uses 2-ΔΔCtMethod calculates mRNA relative expression levels.
Calculation formula is as follows:
Relative expression levels=2[(target gene Ct- reference gene Ct)-(control target gene Ct mean- control group reference gene Ct mean)], i.e., 2-△△Ct
1) reaction system is as recorded in the following table 4:
Table 4
Reagent Volume
2×Master Mix 5μl
H2O 3.6μl
Primers F (10 μM) 0.2μl
Primer R (10 μM) 0.2μl
cDNA 1μl
2) reaction condition is as recorded in the following table 5:
Table 5
(6) qRT-PCR primers
The primer is as recorded in the following table 6 in qRT-PCR reactions:
Table 6
(7) statistical analysis
The continuous variable of normal distribution is compared using mean between two groups of independent samples t test pair, and classified variable uses χ2It examines, Non-Gaussian Distribution variable uses Mann-Whitney U are examined, and data normal distribution is examined using Shapiro-Wilk. Notable GO enrichments and path analysis are accurately examined using Fisher;Between the expression patients with coronary artery disease and normal healthy controls of lncRNA Statistical discrepancy carrys out analysis interpretation;ROC curve meter is calculated using " pROC " packet structure in R statistical softwares (Version 3.3.3) Area is calculated, the diagnostic value of the lncRNA between patient CAD is assessed;Logistic return be used for analyze lncRNA, population characteristic with Risk association situation between CAD;Experimental data is indicated with mean ± standard deviation (mean ± SD), with P<0.05 indicates difference With statistical significance.
6. experimental studies results
(1) essential characteristic of study population
Biological expression spectrum chip CAD case-control sample essential characteristics are referring to table 7.
7 biological expression spectrum chip CAD case-control sample essential characteristics of table
Variable Healthy control group CAD case groups P-Value*
Quantity 48 93
Age, year 53±1.7 50±6.4 0.002
BMI, kg/m2 26.0±3.2 26.5±3.4 0.402
Blood glucose, mmol/L 5.2±0.5 5.1±0.7 0.643
TG, mg/dl 151.8(93.3,229.6) 151.3(121.2,192) 0.490
LDL, mg/ml 95.8±29.5 90.9±28.8 0.351
TC, mg/dl 179.6±32.5 152.6±33.3 <0.0001
HDL, mg/ml 51.5±14.3 37.3±8.7 <0.0001
Smoking, % 89.6 100 0.004
It drinks, % 75 100 <0.0001
Note:Continuous variable is mean ± standard deviation, and classified variable is expressed as a percentage;
BMI, body mass index;
TC, total cholesterol;
TG, triglycerides;
LDL, low-density lipoprotein;
HDL, high-density lipoprotein;
* the statistical testing results of CAD case groups and each index of healthy control group are indicated.
QRT-PCR repeated authentication CAD case-control sample essential characteristics are referring to table 8.
8 qRT-PCR repeated authentication CAD case-control sample essential characteristics of table
Variable Healthy control group CAD case groups P-Value*
Quantity 295 412
Age, year 50.7±12.3 53.4±7.8 0.692
BMI, kg/m2 25.5±3.4 26.0±3.1 0.088
HDL, mmol/L 46.9±10.1 38.7±8.8 <0.0001
LDL, mmol/L 101.8±25.0 98.5±32.1 0.040
Blood glucose, mmol/L 5.18±0.6 5.00±0.6 <0.0001
TC, mmol/L 180.7±27.9 161.2±37.3 <0.0001
TG, mmol/L 119(84.7-172.8) 129.0(101.0-145.6) 0.014
CreA, mmol/L 85.3±14.6 77.7±13.8 <0.0001
Hypertension, % 38 32 0.144
Type (AMI/UA/SA) 290/82/40
Note:Continuous variable is mean ± standard deviation, and classified variable is expressed as a percentage;
BMI, body mass index;
TC, total cholesterol;
TG, triglycerides;
LDL, low-density lipoprotein;
HDL, high-density lipoprotein;
CreA, creatinine;
AMI, acute myocardial infarction AMI;
UA, unstable angina pectoris;
SA, stable angina cordis;
* the statistical testing results of CAD case groups and each index of healthy control group are indicated.
(2) chip of expression spectrum is analyzed
To change multiple>2 and P<0.05 is differential expression screening standard, and differential expression base is screened from express spectra result Cause.Compared with the control group, lncRNAs and 890 in coronary heart disease case group difference expression gene with 1210 differential expressions The mRNAs of differential expression;Wherein 833 lncRNAs and 427 mRNAs are significantly raised, 377 lncRNAs and 463 mRNAs Significantly lower.Difference expression gene clustering and volcano figure are shown in Figure 1A-Fig. 1 D.Wherein, Figure 1A:Differential expression lncRNAs;Figure 1B:Differential expression mRNAs;Y-axis:The hierarchical cluster of CAD case groups and control group;X-axis:LncRNAs and mRNAs expressions Hierarchical cluster.The expression variation of green and the red lower reconciliation up-regulation for indicating significant difference respectively.Fig. 1 C:Differential expression The volcanoes lncRNAs figure;Fig. 1 D:The volcanoes differential expression mRNAs figure;X-axis:log2(Fold Change);Y-axis:Log10 (correction P Value).Red point and green point minute indicate lncRNAs or mRNAs significantly 2 times of up-regulations or downward.
(3) qRT-PCR verifies the lncRNAs of differential expression
Based on fold differences>2,P<0.05, predict target gene and with lncRNAs and CAD or the susceptible position of dyslipidemia The screening principle such as point position relationship picks 7 lncRNAs in chip of expression spectrum analysis result and carries out repeating to test in of the invention Card.Wherein ENST00000602558.1, ENST00000561165.1 and ENST00000415255.1 are different in coronary heart disease and blood fat SNP susceptibility locis near often are as shown in table 9.
Table 9ENST00000602558.1, ENST00000561165.1 and ENST00000415255.1 are in coronary heart disease and blood The extremely neighbouring susceptibility loci of fat
Using the method for qRT-PCR, 7 are verified in 412 patients with coronary heart disease and the PBMCs of 295 normal healthy controls LncRNAs, with glyceraldehyde-3-phosphate dehydrogenase (glyceraldehyde-3-phosphate dehydrogenase, GAPDH) As internal reference.Knot is referring to Fig. 2A-Fig. 2 H.Wherein, Fig. 2A-Fig. 2 G:412 coronary heart disease cases of qRT-PCR repeated authentications with 295 LncRNA ENST00000444488.1 in normal healthy controls, uc010yfd.1, ASO3973, ENST00000602558.1, The expression of ENST00000561165.1, ENST00000415255.1 and RNA147299_p0403_imsncRNA819 change water It is flat;Fig. 2 H:7 lncRNAs screened of the present invention are in chip compared with the expression multiple variation in qRT-PCR.Y-axis indicates The case of log2 expresses multiple with contrast difference, and Healthy is control group, and CAD is coronary heart disease case group, and * * are indicated and control group It compares, P<0.001.The results show that in expression trend of 7 lncRNAs in large sample repeated authentication result and chip data Expression trend be consistent (Fig. 2 H), wherein ENST00000444488.1 is significantly increased to 2.6 times of (P in CAD groups PBMCs <0.01), uc010yfd.1, ASO3973, ENST00000602558.1, ENST00000561165.1, RNA147299_ P0403_imsncRNA819 and ENST00000415255.1 is remarkably decreased in CAD groups PBMCs respectively to 37%, 81%, 79%, 87%, 83% and 65% (Fig. 2A-Fig. 2 G, P<0.01), due to the Ct values of ENST00000415255.1>30, follow-up Follow-up study will not be included into research.
(4) the new lncRNA biomarkers of identification coronary heart disease
A) the diagnostic of 6 lncRNAs of ROC curve assay
With ROC curve evaluation ENST00000444488.1, uc010yfd.1, ASO3973, ENST00000602558.1, ENST00000561165.1 and RNA147299_p0403_imsncRNA819 diagnosis of coronary heart disease Efficiency.Area (Area under the ROC curve, AUC) is shown in Fig. 3 A- Fig. 3 D and figure under the ROC curve of 6 lncRNAs 4A- Fig. 4 D.Wherein, Fig. 3 A:The AUC of ENST00000444488.1;Fig. 3 B:The AUC of uc010yfd.1;Fig. 3 C: The AUC that ENST00000444488.1 and uc010yfd.1 is combined;Fig. 3 D:In conjunction with age, BMI, blood glucose and HDL and The AUC of ENST00000444488.1 and uc010yfd.1 models.Fig. 4 A:LncRNAENST00000602558.1 ROC in CAD Area under the curve result;Fig. 4 B:The AUC results of ASO3973;Fig. 4 C:RNA147299_p0403_imsncRNA819;Fig. 4 D: The AUC results of ENST00000561165.1.
ENST00000602558.1, ASO3973, RNA147299_p0403_imsncRNA819 and The AUC of ENST00000561165.1 is respectively 0.625 (0.581-0.669), 0.639 (0.595-0.682), 0.625 (0.582-0.668) and 0.599 (0.555-0.644) (Fig. 4 A- Fig. 4 B), diagnostic is relatively low.
The AUC of ENST00000444488.1 and uc010yfd.1 is respectively 0.799 (0.762-0.837) and 0.779 (0.744-0.815) (Fig. 3 A- Fig. 3 B).The AUC for combining ENST00000444488.1 and uc010yfd.1 is 0.851 (0.819- 0.884), sensitivity 0.707, specificity are 0.844 (Fig. 3 C), are higher than the AUC of any single lncRNA, therefore 2 The combination of lncRNA has higher diagnosis of coronary artery disease, lncRNA biomarkers that can be new as coronary heart disease.Into one Step combines 2 lncRNAs markers with tetra- age, BMI, blood glucose and HDL common risk factors, and AUC reaches 0.902 (0.876-0.928), susceptibility 0.736, specificity is 0.922 (Fig. 3 D), therefore the model has higher diagnostic.
B) lncRNAENST00000444488.1 can be used as the biomarker of identification AMI
Fig. 5 A and Fig. 5 B show that lncRNAENST00000444488.1 there is diagnostic value to divide acute myocardial infarction AMI Analyse data.
It is compared with 112 non-AMI patients, ENST00000444488.1 is expressed in 290 AMI patients and is significantly increased to 1.5 times of (P<0.001) (Fig. 5 A).
The present invention further applies the efficiency of ROC curve assay ENST00000444488.1 diagnosis AMI.As a result it shows Show that its AUC is 0.758 (0.716-0.800), susceptibility 0.632, specificity is 0.773 (Fig. 5 B), is shown ENST00000444488.1 has the efficiency of diagnosis AMI.
Sequence table
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Claims (10)

  1. Applications of the lncRNA below 1. as the biomarker of diagnosis of coronary heart disease:
    ENST00000444488.1 and/or uc010yfd.1.
  2. 2. the reagent material and/or instrument and equipment that detect lncRNA levels in the sample from test individual are being prepared for diagnosing Application in the detecting system of coronary heart disease risk, the lncRNA include:
    ENST00000444488.1 and/or uc010yfd.1.
  3. 3. application according to claim 2, wherein lncRNA levels include expression in peripheral blood mononuclear cells.
  4. 4. application according to claim 2, wherein lncRNA further comprise ASO3973, ENST00000602558.1, One kind or more in ENST00000561165.1, RNA147299_p0403_imsncRNA819 and ENST00000415255.1 Kind.
  5. 5. application according to claim 2, wherein lncRNA includes ENST00000444488.1;Include preferably further uc010yfd.1;
    Still more preferably include ASO3973, ENST00000602558.1, ENST00000561165.1, RNA147299_ It is one or more in p0403_imsncRNA819 and ENST00000415255.1.
  6. 6. application according to claim 2, wherein the expression of ENST00000444488.1 increases, test individual hat Worry risk increases.
  7. 7. application according to claim 2, wherein the expression of uc010yfd.1 reduces, test individual coronary disease sufferer Sick risk increases.
  8. 8. application according to claim 2, wherein the detecting system includes detection test individual The expression of ENST00000444488.1 and uc010yfd.1 and age, BMI, blood glucose and HDL situations.
  9. 9. the reagent material and/or instrument and equipment of ENST00000444488.1 levels exist in sample of the detection from test individual Prepare the application in the detecting system for diagnosing acute myocardial infarction risk;
    Preferably, the expression of ENST00000444488.1 increases, and test individual acute myocardial infarction risk increases.
  10. 10. a kind of detecting system of assessment incidence of coronary heart disease risk comprising:It detects following in the sample from test individual The reagent material and/or instrument and equipment of lncRNA levels:
    ENST00000444488.1 and/or uc010yfd.1;
    The expression of ENST00000444488.1 increases, and the expression of uc010yfd.1 reduces, test individual coronary disease sufferer Sick risk increases.
CN201810637044.3A 2018-06-20 2018-06-20 Coronary heart disease lncRNA expression spectrum discrimination identification biomarkers and related application Pending CN108774641A (en)

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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110059103A1 (en) * 2007-09-10 2011-03-10 Ericus Anna Leonardus Biessen Future cardiac event biomarkers
CN106550605A (en) * 2014-03-18 2017-03-29 汉诺威医学院 For the mitochondria non-coding RNA of progression of disease in predicting heart failure and Patients With Myocardial Infarction
WO2017068198A1 (en) * 2015-10-23 2017-04-27 Academisch Medisch Centrum Biomarker for predicting coronary artery disease in smokers
CN107653312A (en) * 2017-09-07 2018-02-02 中国医学科学院阜外医院 The rs7901016 detecting system related to blood lipid level and coronary heart disease and related application

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110059103A1 (en) * 2007-09-10 2011-03-10 Ericus Anna Leonardus Biessen Future cardiac event biomarkers
CN106550605A (en) * 2014-03-18 2017-03-29 汉诺威医学院 For the mitochondria non-coding RNA of progression of disease in predicting heart failure and Patients With Myocardial Infarction
WO2017068198A1 (en) * 2015-10-23 2017-04-27 Academisch Medisch Centrum Biomarker for predicting coronary artery disease in smokers
CN107653312A (en) * 2017-09-07 2018-02-02 中国医学科学院阜外医院 The rs7901016 detecting system related to blood lipid level and coronary heart disease and related application

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
LIN LI等: "Characterization of LncRNA expression profile and identification of novel LncRNA biomarkers to diagnose coronary artery disease", 《ATHEROSCLEROSIS》 *

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