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

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 l...

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Autores principales: Yang, Yuanyuan, Guo, Qiongya, Lu, Min, Huang, Yansheng, Yang, Yu, Gao, Chuanyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873962/
https://www.ncbi.nlm.nih.gov/pubmed/36712879
http://dx.doi.org/10.3389/fgene.2022.1094332
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author Yang, Yuanyuan
Guo, Qiongya
Lu, Min
Huang, Yansheng
Yang, Yu
Gao, Chuanyu
author_facet Yang, Yuanyuan
Guo, Qiongya
Lu, Min
Huang, Yansheng
Yang, Yu
Gao, Chuanyu
author_sort Yang, Yuanyuan
collection PubMed
description 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.
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spelling pubmed-98739622023-01-26 Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure Yang, Yuanyuan Guo, Qiongya Lu, Min Huang, Yansheng Yang, Yu Gao, Chuanyu Front Genet Genetics 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. Frontiers Media S.A. 2023-01-11 /pmc/articles/PMC9873962/ /pubmed/36712879 http://dx.doi.org/10.3389/fgene.2022.1094332 Text en Copyright © 2023 Yang, Guo, Lu, Huang, Yang and Gao. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Yang, Yuanyuan
Guo, Qiongya
Lu, Min
Huang, Yansheng
Yang, Yu
Gao, Chuanyu
Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure
title Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure
title_full Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure
title_fullStr Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure
title_full_unstemmed Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure
title_short Expression of miR-320 and miR-204 in myocardial infarction and correlation with prognosis and degree of heart failure
title_sort expression of mir-320 and mir-204 in myocardial infarction and correlation with prognosis and degree of heart failure
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9873962/
https://www.ncbi.nlm.nih.gov/pubmed/36712879
http://dx.doi.org/10.3389/fgene.2022.1094332
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