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. 2023 Jan 11:13:1094332.
doi: 10.3389/fgene.2022.1094332. eCollection 2022.

Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure

Yuanyuan Yang  1   2 , Qiongya Guo  3   4 , Min Lu  1   2 , Yansheng Huang  1   2 , Yu Yang  5 , Chuanyu Gao  1   2   6
Affiliations

Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure

Yuanyuan Yang et al. Front Genet. .

Abstract

Myocardial infarction is a very dangerous cardiovascular disease with a high mortality rate under the modern developed medical technology. miRNA is a small molecule regulatory RNA discovered in recent years, which can play an important role in many cancers and other diseases. Medical data, machine learning and medical care strategies supporting the Internet of Things (IoMT) have certain applications in the treatment of myocardial infarction. However, the specific pathogenesis of myocardial infarction is still unclear. Therefore, this paper aimed to explore the expression of microRNA-320 and microRNA-204 in myocardial infarction and used the expression of microRNA-320 and microRNA-204 to predict the prognosis of patients with myocardial infarction. In order to discuss the expression of microRNA-320 and microRNA-204 in myocardial infarction in more detail. In this paper, 40 patients in the trial period were selected for clinical research, and 10 patients with normal cardiac function were selected in NHF group as control group. 10 patients with heart failure were selected as AMHF group. 10 patients with acute myocardial infarction were selected as AMNHF group. 10 patients with heart failure after old myocardial infarction were selected as OMHF group. AMHF group, AMNHF group and OMHF group were taken as the case group. This paper analyzed the difference of miR between different groups and determined that there were significant differences in the expression of miR-320 and miR-204 between different groups. Finally, the expression and prognosis of miR-320 and miR-204 in myocardial infarction were analyzed. The analysis results showed that the expression of microRNA-320 and microRNA-204 can inhibit the activity of myocardial cells. On the fifth day, the corresponding expression of microRNA-320 and microRNA-204 reduced the optical density of myocardial cells to 1.75 and 1.76, which was significantly lower than that on the first day. Moreover, excessive miR-320 expression and excessive miR-204 expression can increase the apoptosis rate of myocardial cells. The above results indicated that the high expression of microRNA-320 and microRNA-204 can be a bad prognostic factor in patients with myocardial infarction, showing that medical data, machine learning and medical care strategies supporting IoMT can play a role in the treatment of myocardial infarction. Therefore, it is urgent to understand the pathogenesis of heart failure after myocardial infarction and find new treatment schemes to improve the positive prognosis.

Keywords: healthcare strategy; internet of things (IoMT) medical data; medical data; miR-320 and miR-204; myocardial infarction.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

FIGURE 1
FIGURE 1
miRNA labeling steps.
FIGURE 2
FIGURE 2
Volcanic map of differential expression miRNA. (A) Volcano Plot (AMHF & AMNHF) (B) Volcano Plot (AMHF & OMNHF) (C) Volcano Plot (AMHF & NHF).
FIGURE 3
FIGURE 3
Expression of miRNA in each group at different concentrations. (A) 0.5uM (B) 2uM.
FIGURE 4
FIGURE 4
Fluorescence quantitative PCR detection results after miRNA transfection. (A) PCR detection of miR-320 up regulation. (B) PCR detection of miR-204 up regulation.
FIGURE 5
FIGURE 5
Change of OD value of cells in 5 days.
FIGURE 6
FIGURE 6
Relationship between overexpression of miR-320 and miR-204 and apoptosis in different groups.
FIGURE 7
FIGURE 7
Comparison of differences between groups before and after treatment. (A) Changes of LVEF indicators in each group before and after treatment. (B) Changes of LVFS indicators in each group before and after treatment. (C) Changes of cESS indicators in each group before and after treatment. (D) Changes of MEE indicators in each group before and after treatment.
FIGURE 8
FIGURE 8
Survival graph.
See this image and copyright information in PMC

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