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Decoding the mechanism of hypertension through multiomics profiling
Eric Adua1,2
1School of Clinical Medicine, Medicine & Health, Rural Clinical Campus, University of New South Wales, Wagga Wagga, NSW, Australia. e.adua@unsw.edu.au.
High blood pressure (hypertension) is a major cardiovascular risk. Multi-omics approaches analyzing genomics, transcriptomics, proteomics, glycomics, and lipidomics offer new insights for predicting and diagnosing hypertension.
Area of Science:
- Cardiovascular research
- Genomics and molecular biology
Background:
- Hypertension is a primary risk factor for cardiovascular events and mortality.
- High-throughput technologies enable whole-genome exploration, identifying hypertension-associated genes.
Purpose of the Study:
- To review the pathophysiology of hypertension.
- To highlight multi-omics approaches for hypertension prediction and diagnosis.
Main Methods:
- Genomic analysis using high-throughput technologies.
- Exploration of post-genomic biomarkers including transcriptomics, proteomics, glycomics, and lipidomics.
Main Results:
- Identification of dysregulated genes linked to hypertension.
- New insights into the molecular mechanisms of hypertension through multi-omics data.
Conclusions:
- Multi-omics strategies are crucial for advancing the prediction and diagnosis of hypertension.
- Understanding molecular underpinnings can lead to improved hypertension management.
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