Comprehensive analysis of the RNA transcriptome expression profiles and construction of the ceRNA network in heart failure patients with sacubitril/valsartan therapeutic heterogeneity after acute myocardial infarction

Su, Jia; Hu, Yingchu; Cheng, Ji; Li, Zhenwei; Li, Jiyi; Zheng, Nan; Zhang, Zhaoxia; Yang, Jin; Li, Xiaojin; Yu, Qinglin; Du, Weiping; Chen, Xiaomin

doi:10.1016/j.ejphar.2023.175547

Cited by 4 publications

(1 citation statement)

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“…In rat studies, it was indicated that photobiomodulation therapy can intervene in the activation of cardiac fibrosis after MI by altering gene activities and miRNAs in heart ( 141 , 142 ). Su et al ( 143 ) analyzed gene and ncRNA expression to uncover potential molecular mechanisms linked to the varying effectiveness of acubitril/valsartan treatment in patients with HF after AMI. These type of studies offers valuable insights into a deeper comprehension of drug mechanisms of action and resistance.…”

Section: Single-omics Approachesmentioning

confidence: 99%

From multi-omics approaches to personalized medicine in myocardial infarction

Zhan,

Tang,

et al. 2023

Front. Cardiovasc. Med.

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Myocardial infarction (MI) is a prevalent cardiovascular disease characterized by myocardial necrosis resulting from coronary artery ischemia and hypoxia, which can lead to severe complications such as arrhythmia, cardiac rupture, heart failure, and sudden death. Despite being a research hotspot, the etiological mechanism of MI remains unclear. The emergence and widespread use of omics technologies, including genomics, transcriptomics, proteomics, metabolomics, and other omics, have provided new opportunities for exploring the molecular mechanism of MI and identifying a large number of disease biomarkers. However, a single-omics approach has limitations in understanding the complex biological pathways of diseases. The multi-omics approach can reveal the interaction network among molecules at various levels and overcome the limitations of the single-omics approaches. This review focuses on the omics studies of MI, including genomics, epigenomics, transcriptomics, proteomics, metabolomics, and other omics. The exploration extended into the domain of multi-omics integrative analysis, accompanied by a compilation of diverse online resources, databases, and tools conducive to these investigations. Additionally, we discussed the role and prospects of multi-omics approaches in personalized medicine, highlighting the potential for improving diagnosis, treatment, and prognosis of MI.

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Section: Single-omics Approachesmentioning

confidence: 99%