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image of Leveraging Drug-Gene Interaction Information for Personalized Hypertension Drug Molecule Discovery

Abstract

Aims

To examine whether novel lead hypertension molecules can be used in the personalized treatment of hypertension.

Background

Hypertension is a modifiable condition that affects over 1 billion adults worldwide. Maintaining a healthy blood pressure is vital for overall health, especially given that hypertension is a primary risk factor for developing cardiovascular conditions. However, some individuals have resistant hypertension, which may be due to variations in genetic expression, making standard hypertension treatments ineffective.

Objective

The integration of genetic data into the personalized optimization of novel hypertension drugs is demonstrated.

Method

This research created coding criteria for drug-gene recommendations based on the genomic profiles of ten pseudo-patients. The genomic data of these patients was created using chromosome and hypertension-implicated gene sequences from the NCBI National Library of Medicine database.

Results

This study uses the proposed drug recommendation criteria to recommend novel hypertension lead molecules to each patient based on their gene expression profiles.

Conclusion

This study’s patient-centric drug prescription approach integrates patient gene expression data with drug-gene interaction data and recommends novel hypertension drugs most suitable for each patient. Variations in patient gene expression explain the diverse treatment responses inherent across hypertensive patients, thus necessitating a personalized approach to their drug prescription. Future studies can investigate the challenges of ethical, technological, and technical expertise that may affect the clinical implementation of personalized drug prescription recommendation systems.

© 2024 Bentham Science Publishers
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2024-12-13
2025-05-16

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Leveraging Drug-Gene Interaction Information for Personalized Hypertension Drug Molecule Discovery
Bentham Science Publishers ; https://doi.org/10.2174/0118756921355914241203054023
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  • Article Type:     Research Article
Keywords: Drug discovery ; drug-gene interaction ; hypertension ; personalized medicine ; lead molecules ; hypertension gene expression
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