Investigating miRNA subfamilies: Can they assist in the early diagnosis of acute myocardial infarction?

Sharma, Arun K; Bisht, Priyanka; Gupta, Bishal; Akhtar, Sayeed; Alavudeen, Sirajudeen Shaik; Afzal, Obaid; Altamimi, Abdulmalik Saleh Alfawaz

doi:10.1016/j.drudis.2023.103695

Cited by 6 publications

(1 citation statement)

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“…NcRNAs, including microRNAs (miRNAs), lncRNAs and circular RNAs (circRNAs), have a significant attention in the field of MI research. They not only contribute to a deeper understanding of the disease's pathogenesis but also serve as valuable biomarkers, diagnostic tools, prognostic indicators, and potential therapeutic targets, offering new hope for managing MI patients (119)(120)(121)(122)(123). Numerous studies have demonstrated significant changes in the expression profiles of ncRNAs in both cardiac tissue and body fluids after MI.…”

Section: Transcriptomicsmentioning

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: Transcriptomicsmentioning

confidence: 99%