Impact of chronic intermittent hypoxia on the long non-coding RNA and mRNA expression profiles in myocardial infarction.
Chaowei HuJing LiYunhui DuJuan LiYunyun YangYifan JiaLu PengYan-Wen QinYongxiang WeiPublished in: Journal of cellular and molecular medicine (2020)
Chronic intermittent hypoxia (CIH) is the primary feature of obstructive sleep apnoea (OSA), a crucial risk factor for cardiovascular diseases. Long non-coding RNAs (lncRNAs) in myocardial infarction (MI) pathogenesis have drawn considerable attention. However, whether CIH participates in the modulation of lncRNA profiles during MI is yet unclear. To investigate the influence of CIH on MI, cardiac damage was assessed by histology and echocardiography, and lncRNA and mRNA integrated microarrays were screened. MI mouse model showed myocardial hypertrophy, aggravated inflammation and fibrosis, and compromised left ventricle function under CIH. Compared with normoxia, 644 lncRNAs and 1084 differentially expressed mRNAs were identified following CIH for 4 weeks, whereas 1482 lncRNAs and 990 mRNAs were altered at 8 weeks. Strikingly, reoxygenation after CIH markedly affected 1759 lncRNAs and 778 mRNAs. Of these, 11 lncRNAs modulated by CIH were restored after reoxygenation and were validated by qPCR. The GO terms and KEGG pathways of genes varied significantly by CIH. lncRNA-mRNA correlation further showed that lncRNAs, NONMMUT032513 and NONMMUT074571 were positively correlated with ZEB1 and negatively correlated with Cmbl. The current results demonstrated a causal correlation between CIH and lncRNA alternations during MI, suggesting that lncRNAs might be responsible for MI aggravation under CIH.
Keyphrases
- long non coding rna
- genome wide analysis
- poor prognosis
- left ventricular
- genome wide identification
- network analysis
- heart failure
- cardiovascular disease
- oxidative stress
- mouse model
- pulmonary hypertension
- working memory
- obstructive sleep apnea
- type diabetes
- physical activity
- endothelial cells
- mitral valve
- machine learning
- computed tomography
- genome wide
- dna methylation
- positive airway pressure
- deep learning
- cardiovascular events
- congenital heart disease
- pulmonary arterial hypertension
- neural network