Myocardial infarction biomarker miR-1283
A technology of mir-1283 and myocardial infarction, applied in the field of application of myocardial infarction biomarker miR-1283, miR-1283 and its target genes in the diagnosis and treatment of myocardial infarction
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[0047] Example 1 Collection of samples and extraction of total RNA
[0048] From March 2015 to September 2016, 6 peripheral blood of patients with myocardial infarction and peripheral blood of healthy controls were collected. Acute myocardial infarction diagnostic criteria: Established according to the diagnostic criteria recommended in the third "Globally Harmonized Definition of Myocardial Infarction" in 2012. An increase and / or decrease in the level of myocardial necrosis markers (mainly troponin) was detected, and at least one time exceeded the 99th percentile of the upper limit of the reference value, and was accompanied by at least one of the following symptoms of ischemia.
[0049] 1) Symptoms of myocardial ischemia;
[0050] 2) Newly occurring ischemic ECG changes;
[0051] 3) Pathological Q waves appear on the ECG;
[0052] 4) Imaging evidence shows new loss of myocardial activity or new local ventricular wall motion abnormalities;
[0053] 5) Coronary angiography or autopsy r...
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[0055] Example 2 Sequencing, data analysis and electronic verification
[0056] Sequencing: Llumina Hiseq2500 / Miseq second-generation high-throughput sequencing technology is used to sequence miRNA and mRNA, and the data is processed through the processes of removing joints, removing low quality, and removing contamination, and obtain the final data. Use transcriptome data analysis software to perform background correction on the original data of miRNA and mRNA sequencing, and then perform t-test to obtain the P value, and then use the Fisher test to combine the P value to screen for differentially expressed miRNA and mRNA. Use algorithms including miRanda, miRDB, miRWalk and Targetscan to predict differentially expressed miRNA target genes, select ≥4 target genes predicted by the algorithm, and search for verified differentially expressed miRNA target genes in the miRWalk database.
[0057] Finally, miR-1283 and its target genes HDAC4, PHC2, THOC5, IL17RA were selected from the ca...
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[0058] Example 3 Electronic verification
[0059] Electronic verification: 3 sets of mRNA data sets (GSE48060, GSE34198 and GSE61145-GPL6884) and 2 sets of miRNA data sets (GSE61741, GSE31568) and 3 sets of mRNA data sets (GSE48060, GSE34198 and GSE61145) are screened from GEO (Gene Expression Omnibus) database -GPL6884) has a total of 13680 genes. We use the metaMA package to calculate the combined P value method and combine the effect values to obtain 612 (FDR 1). The results show that the electronic verification results are consistent with the sequencing results.
[0060] The method of evaluating the effectiveness of a single miRNA molecule or a diagnostic model is to establish a receiver operating characteristic (ROC) curve, and to determine the diagnostic ability by calculating the area under the curve (Area UnderCurve). The area under the ROC curve is between 1.0 and 0.5, at AUC> In the case of 0.5, the closer the AUC is to 1, the better the diagnostic effect. AUC has low...
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