Reciprocal Changes of Circulating Long Non-Coding RNAs ZFAS1 and CDR1AS Predict Acute Myocardial Infarction

• Published in: Scientific reports Vol. 6; no. 1; p. 22384
• Main Authors: Zhang, Ying, Sun, Lihua, Xuan, Lina, Pan, Zhenwei, Li, Kang, Liu, Shuangshuang, Huang, Yuechao, Zhao, Xuyun, Huang, Lihua, Wang, Zhiguo, Hou, Yan, Li, Junnan, Tian, Ye, Yu, Jiahui, Han, Hui, Liu, Yanhong, Gao, Fei, Zhang, Yong, Wang, Shu, Du, Zhimin, Lu, Yanjie, Yang, Baofeng
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 01.03.2016; Nature Publishing Group
• Subjects: 38/90; 692/4019/592/75/2/1674; 692/53/2421; Animals; Antisense RNA; Biomarkers; Biomarkers - blood; Blood; Cardiac arrhythmia; Cardiovascular diseases; Complementarity-determining region 1; Disease Models, Animal; Heart attacks; Humanities and Social Sciences; Humans; Mice; Mice, Inbred C57BL; Middle Aged; multidisciplinary; Myocardial infarction; Myocardial Infarction - blood; Myocardial Infarction - diagnosis; Prognosis; RNA, Long Noncoding - blood; Rodents; Science; Zinc finger proteins

This study sought to evaluate the potential of circulating long non-coding RNAs (lncRNAs) as biomarkers for acute myocardial infarction (AMI). We measured the circulating levels of 15 individual lncRNAs, known to be relevant to cardiovascular disease, using the whole blood samples collected from 103...