| Literature DB >> 34987550 |
Jinhong Chen1, Zhichao Liu1, Li Ma1, Shengwei Gao1, Huanjie Fu1, Can Wang2, Anmin Lu1, Baohe Wang3, Xufang Gu3.
Abstract
Myocardial infarction (MI) is a complicated pathology triggered by numerous environmental and genetic factors. Understanding the effect of epigenetic regulation mechanisms on the cardiovascular disease would advance the field and promote prophylactic methods targeting epigenetic mechanisms. Genetic screening guides individualised MI therapies and surveillance. The present review reported the latest development on the epigenetic regulation of MI in terms of DNA methylation, histone modifications, and microRNA-dependent MI mechanisms and the novel therapies based on epigenetics.Entities:
Keywords: DNA methylation DNA; cardiovascular; epigenetics; histone modifications; micro-RNA; myocardial infarction; non-coding RNAs rna
Year: 2021 PMID: 34987550 PMCID: PMC8721121 DOI: 10.3389/fgene.2021.780649
Source DB: PubMed Journal: Front Genet ISSN: 1664-8021 Impact factor: 4.599
FIGURE 1Flow chart.
The characteristic of DNA methylation in myocardial infarction.
| Author | Year | Nation | Detection method | Species | Gene | Site | MI related functional consequences |
|---|---|---|---|---|---|---|---|
|
| 2012 | Netherlands | Mass spectrometry | Human | INS、GNASAS | Unknown | Reflected a developmental component of MI. |
|
| 2013 | China | PCR | Human | FOXP3 | Unknown | Increase the risk of ACS |
|
| 2014 | Italy | Bisulfite sequencing | Mouse | Notch | Unknown | Expanded the proliferative capacity of neonatal cardiomyocytes |
|
| 2015 | China | Bisulfite sequencing PCR (BSP) | Mouse | ALDH2 | Unknown | Myocardial protection against ischaemia |
|
| 2015 | Italy | Microarray analysis | Human | ZBTB12 | Unknown | Angiogenesis and vascular permeability |
|
| 2016 | Sweden | Infinium humanmethylation450 beadchip | Human | 196 genes | 211 CpG-sites | Cardiac function, cardiovascular disease, cardiogenesis and recovery after ischaemic injury |
|
| 2016 | China | Bisulfite pyrosequencing | Human | IL-6 | 3 CpG-sites | DNA hypomethylation of IL-6 promoter is associated with the increased risk for CHD |
|
| 2020 | Iran | |||||
|
| 2017 | Japan | Infinium humanmethylation450 beadchip | Human | ZFHX3 | cg06642177, cg07786668, cg17218495 | FHX3 belongs to a susceptibility gene for CVD; SMARCA4 is able to affect inhibition of vascular smooth muscle cell proliferation by hydrogen sulfide |
| SMARCA4 | |||||||
|
| 2018 | US | Illumina humanHT-12v3 array | Human | LRP8、KCNN1 | 9 CpG-sites | Risk factor for MI; reduce ventricular fibrillation and ventricular tachycardia during induced acute myocardial infarction |
|
| 2019 | US | Illumina infinium 450k microarray | Human | ATP2B2, CASR, GUCA1B, HPCAL1, CASR, PTPRN2, CDH23, HPCAL1 | 52 CpG-sites | Calcium regulation |
| Serum calcium and serum calcium-related risk of CHD | |||||||
| Coronary artery calcified plaque | |||||||
| Kidney function | |||||||
|
| 2019 | United States | 5-mC DNA ELISA | Mouse | Sirt 1 | Unknown | Sirt 1-mediated signaling is the potential therapeutic target for the heart ischemic disease in offspring |
|
| 2020 | Turkey | Illumina hiSeq4000 | Human | LDAH, APOB, ACSM2A, ACSM5, ACSF3, CES1, CES1P1, AFG3L2, ISCU, SEC14L2, MTTP | Unknown | Cholesterol and lipoprotein metabolism |
|
| 2020 | Pakistan | Methylation-specific polymerase chain reaction | Human | ABO | Unknown | Thrombosis and altered endothelial function |
|
| 2021 | Spain | Infinium methylationEPIC beadchip | Human | AHRR, PTCD2, intergenic, MPO | cg05575921cg25769469 | The four identified CpGs as predictive biomarkers |
| cg21566642cg04988978 | 1Smoking, lipid metabolism, and inflammation |
The diagnostic value of MI associated miRNAs.
| Author | NcRNAs | Research types | Clinical value |
|---|---|---|---|
|
| miR-19a | Clinical research | The upper levels of miR-19a were significantly correlated with the increased serum levels of CK-MB, CTn I and creatinine |
|
| miR-22-5p, miR-122-5p | Clinical research | Plasma miR-122-5p levels is significantly elevated in AMI patients, while plasma miR-22-5p levels were significantly decreased. In addition, significant correlations between miR-22-5p and miR-122-5p, miR-122-5p and creatine kinase isoenzyme were detected |
|
| miR-23b | Clinical research | Circulating miR-23b as a novel biomarker for early risk stratification after ST-elevation myocardial infarction |
|
| miR-93-5p | Clinical research | It was the strongest predictor for CAD following the adjustment of conventional risk factors, showing underlying diagnostic utility |
|
| miR-99a | Clinical research | The expression of miR-99a was significantly downregulated in patients with AMI. In the AMI patients, miR-99a level had a negative correlation with cTnI level and CK-MB. |
|
| miR-124 | Clinical research | MiRNA-124 expression in experimental group was significantly elevated in peripheral blood of AMI patients |
|
| miR-134-5p | Clinical research | Levels of plasma miR-19b-3p, miR-134-5p and miR-186-5p were significantly increased in early stage of AMI. In addition, all three miRNAs were positively correlated with cTnI |
|
| miR-139-5p | Clinical research | miR-139-5p inhibits endothelial cell viability of AMI by inhibiting VEGFR-1, and increased miR-139-5p expression in AMI patients has high diagnostic value for AMI screening |
|
| miR-181a | Clinical research | Relative miR-181a levels in AMI patients were positively correlated with the concentrations of the creatine kinase-MB fraction and cardiac troponin I.And plasma miR-181a was positively correlated with coronary Gensini score and negatively correlated with left ventricular ejection fraction |
|
| miR-208a | Animal experiment | The over-expression of miR-208a in myocardial infarction tissue and the high levels of this miRNA in the serum, may be involved in the process of myocardial infarction by influencing the cAMP-PKA signaling pathway in myocardial cells |
|
| miR-208b | Clinical research | miR-208b and miR-499 displayed similar properties with the established AMI biomarker cTnT |
| miR-499 | |||
|
| miR-328 | Clinical research | There was a correlation between circulating miR-133 or miR-328 levels and cardiac troponin I |
|
| miR-379 | Clinical research | Studies demonstrated the miR-379 was negatively correlated with CK-MB and cTns in study subjects.Function assay |
|
| miR-492 | Clinical research | Serum miRNA-499 and miRNA-210 were associated with MI within 3 h of symptom onset. |
|
| miR-1291 | Clinical research | The levels of miR-133, miR-1291 and miR-663b are associated with AMI. |
|
| miR-6718-5p and miR-4329 | Clinical research | The expression of miR6718 and miR-4329 in patients with myocardial infarction was significantly lower than that in normal people |
The prognostic value of MI associated miRNAs.
| Author | NcRNAs | Clinical value |
|---|---|---|
|
| miR-1 | miR-1 is an independent risk factor for the prognosis of AMI and can be used to predict AMI prognosis |
|
| miR-30a-5p | miR-30a-5p as a prognostic biomarker of left ventricular dysfunction after acute myocardial infarction |
|
| miR-30e | Association of miRNA-30e with a no-reflow phenomenon in STEMI patients receiving primary coronary intervention |
|
| miR-122-5p/133b | The miR-122-5p/133b ratio is a new prognostic biomarker for the early identification of STEMI patients at a higher risk of developing major adverse events after undergoing PCI intervention |
|
| miR-126-3p | The miR-223-3p and the miR-126-3p are promising independent predictors of thrombotic events and can be used for ischemic risk stratification after AMI. |
| miR-223-3p | ||
|
| miR-142 | Predictor of the major adverse cardiovascular and cerebrovascular events (MACCE) in AMI patients |
|
| miR-145 | Prognosticate cardiac function and the risk to develop heart failure |
|
| miR-155 | miR-155 expression could be used to assess the severity of the patients with HF. |
|
| miR-184 | Related to ventricular remodelling indexes and the future occurrence rate of MACE |
|
| miR-221-3p | miR-221-3p has a high discriminative value and significant relations with left ventricular systolic function |
|
| miR-331 | It may be associated with plaque rupture |
| miR-151-3p | ||
|
| miR-365 | Heart failure with reduced ejection fraction following myocardial infarction |
The therapeutic application of MI associated miRNAs.
| Author | NcRNAs | Research types | Therapeutic action |
|---|---|---|---|
|
| miR-23a | Clinical research | The expression of miRNA-23a may regulate AMI through targeting PTEN in patients and |
|
| miR-26b | Clinical research | A novel therapeutic target of MI |
|
| miR-92a | Animal experiment | As a valuable therapeutic target in the setting of ischaemic disease |
|
| miR-135b | Clinical research | As a potential therapeutic target in the treatment of MI |
|
| |||
|
| miR-144 | Animal experiment | As a therapeutic agent after MI |
|
| miR-532 | Animal experiment | Be suitable for therapeutic intervention in ischaemic heart disease |
|
| miR-539 | Animal experiment | Possibly a potential therapeutic target for myocardial infarction |
FIGURE 2The diagnostic value, prognostic potential and therapeutic effect for MI associated miRNAs. Schematic representation of the activated pathway program in MI. The regulation mechanism of miRNAs networks in MI. (Red and green labels correspond with induced or repressed molecules in MI, respectively).
FIGURE 3LncRNA/circRNA–miRNA-mediated interaction. (LncRNAs/circRNAs interact with miRNAs to modulate cardiomyocyte apoptosis, cardiac fibrosis, anglognesis, immunity and autophagy. Pro-factor lncRNAs/circRNAs are marked in blue. Anti-factor lncRNAs/circRNAs are marked in red.) (The left side of the dashed line represents circRNA, and the right side represents LncRNA).