Li-Ming Li1, Wen-Bo Cai1, Qin Ye1, Jian-Min Liu1, Xin Li2, Xiao-Xing Liao2. 1. Department of Emergency Medicine, Pengpai Memorial Hospital of Haifeng, Haifeng, China. 2. Department of Emergency Medicine, First Affiliated Hospital, Sun Yat-Sen University, Guangzhou, China.
Abstract
BACKGROUND: Early reperfusion can effectively treat acute myocardial infarction (AMI) and reduce the mortality significantly. This study aimed to compare the role of plasma microRNA-1 (miR-1) and cardiac troponin T (cTnT) in early diagnosis of AMI patients. METHODS: From May 2011 to May 2012, plasma samples were collected from 56 AMI patients and 28 non-AMI controls. The expression of plasma miR-1 was measured by quantitative reverse transcription-polymerase chain reaction (qRT-PCR), and the level of plasma cTnT was measured using electrochemiluminescence-based methods on an Elecsys 2010 Immunoassay Analyzer. SPSS 16.0 was used for the statistical analysis of the results. Data were expressed as mean±standard deviation unless otherwise described. The differences about clinical characteristics between the AMI patients and controls were tested using Student's t test or Fisher's exact test. The Mann-Whitney U test was conducted to compare the expression of microRNAs between the AMI patients and controls. MicroRNAs expression between different intervals of the AMI patients was compared using Wilcoxon's signed-rank test. The receiver operating characteristic (ROC) curve was established to discriminate the AMI patients from the controls. RESULTS: In the present study, the expression of plasma miR-1 was significantly increased in the AMI patients compared with the healthy controls (P<0.01). The plasma miR-1 in the AMI patients decreased to the normal level at 14 days (P>0.05). The expression of plasma miR-1 was not related to the clinical characteristics of the study population (P>0.05). ROC curve analyses demonstrated that miR-1 was specific and sensitive for the early diagnosis of AMI, but not superior to cTnT. CONCLUSION: Plasma miR-1 could be used in the early diagnosis of AMI, but it is similar to cTnT.
BACKGROUND: Early reperfusion can effectively treat acute myocardial infarction (AMI) and reduce the mortality significantly. This study aimed to compare the role of plasma microRNA-1 (miR-1) and cardiac troponin T (cTnT) in early diagnosis of AMI patients. METHODS: From May 2011 to May 2012, plasma samples were collected from 56 AMI patients and 28 non-AMI controls. The expression of plasma miR-1 was measured by quantitative reverse transcription-polymerase chain reaction (qRT-PCR), and the level of plasma cTnT was measured using electrochemiluminescence-based methods on an Elecsys 2010 Immunoassay Analyzer. SPSS 16.0 was used for the statistical analysis of the results. Data were expressed as mean±standard deviation unless otherwise described. The differences about clinical characteristics between the AMI patients and controls were tested using Student's t test or Fisher's exact test. The Mann-Whitney U test was conducted to compare the expression of microRNAs between the AMI patients and controls. MicroRNAs expression between different intervals of the AMI patients was compared using Wilcoxon's signed-rank test. The receiver operating characteristic (ROC) curve was established to discriminate the AMI patients from the controls. RESULTS: In the present study, the expression of plasma miR-1 was significantly increased in the AMI patients compared with the healthy controls (P<0.01). The plasma miR-1 in the AMI patients decreased to the normal level at 14 days (P>0.05). The expression of plasma miR-1 was not related to the clinical characteristics of the study population (P>0.05). ROC curve analyses demonstrated that miR-1 was specific and sensitive for the early diagnosis of AMI, but not superior to cTnT. CONCLUSION: Plasma miR-1 could be used in the early diagnosis of AMI, but it is similar to cTnT.
Entities:
Keywords:
Acute myocardial infarction; Biomarker; Early diagnosis; High sensitive cardiac troponin T; MicroRNA-1; Sensitivity; Specificity
Authors: Xiang Ren; Bradley W Ellis; George Ronan; Stuart Ryan Blood; Cameron DeShetler; Satyajyoti Senapati; Keith L March; Eileen Handberg; David Anderson; Carl Pepine; Hsueh-Chia Chang; Pinar Zorlutuna Journal: Lab Chip Date: 2021-10-12 Impact factor: 7.517