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Correlation of TET-2 Levels with Disease Evaluation in AMI Patients
OBJECTIVE: To investigate the expression levels of Ten-Eleven Translocation-2 (TET-2) in patients with acute myocardial infarction (AMI) and correlations of TET-2 levels with disease severity. METHODS: A total of 150 patients with confirmed AMI were included in this study. According to the number of...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357739/ https://www.ncbi.nlm.nih.gov/pubmed/35965615 http://dx.doi.org/10.1155/2022/9983071 |
Sumario: | OBJECTIVE: To investigate the expression levels of Ten-Eleven Translocation-2 (TET-2) in patients with acute myocardial infarction (AMI) and correlations of TET-2 levels with disease severity. METHODS: A total of 150 patients with confirmed AMI were included in this study. According to the number of coronary artery lesions, the patients were divided into a single lesion group, two lesion group, and three lesion group. According to the Gensini scores, these patients were also assigned into three groups: the low-risk group, middle-risk group, and high-risk group. 150 patients without AMI confirmed by coronary angiography were included in the control group in the same period. TET-2 and cardiac troponin T (cTNT) levels were detected by ELISA analysis and compared among different groups. Pearson's correlation analysis was used to evaluate the correlations of TET-2 levels and cTNT levels/Gensini scores. The levels of TET-2 in AMI patients increased remarkably with the increase of disease severity. Patients in the single lesion group or low-risk group had the lowest levels of TET-2. Pearson correlation analysis indicated that TET-2 levels were positively associated with cTNT levels and Gensini scores, respectively (all P < 0.001). CONCLUSION: The levels of TET-2 were upregulated in AMI patients and positively correlated with cTNT levels or Gensini scores, suggesting that the examination of TET-2 expression levels could be exploited for predicting the disease severity. |
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