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Published on: January 10, 2025
Systems biology approaches to the study of cardiovascular drugs
Yuri Nikolsky1, Robert Kleemann
1GeneGo, Inc., St.Joseph, MI, USA.
Abstract:
Atherogenic lipids and chronic inflammation drive the development of cardiovascular disorders such as atherosclerosis. Many cardiovascular drugs target the liver which is involved in the formation of lipid and inflammatory risk factors. With robust systems biology tools and comprehensive bioinformatical packages becoming available and affordable, the effect of novel treatment strategies can be analyzed more comprehensively and with higher sensitivity. For example, beneficial as well as adverse effects of drugs can already be detected on the gene and metabolite level, and prior to their macroscopic manifestation. This chapter describes a systems approach for a prototype CV drug with established beneficial and adverse effects. All relevant steps, for example, experimental design, tissue collection and high quality RNA preparation, bioinformatical analysis of functional processes, and pathways (targeted and untargeted) are addressed.
Insights
Systems biology and bioinformatics enable early detection of cardiovascular drug effects at the gene and metabolite levels, aiding in the analysis of beneficial and adverse outcomes.
Area of Science:
- Cardiovascular science
- Systems biology
- Pharmacology
Background:
- Atherogenic lipids and chronic inflammation are key drivers of cardiovascular disorders like atherosclerosis.
- The liver plays a crucial role in producing lipid and inflammatory risk factors targeted by cardiovascular drugs.
Purpose of the Study:
- To describe a systems approach for analyzing the effects of a prototype cardiovascular drug.
- To demonstrate how systems biology and bioinformatics can enhance the sensitivity and comprehensiveness of drug effect analysis.
Main Methods:
- Utilizing robust systems biology tools and comprehensive bioinformatics packages.
- Implementing experimental design, tissue collection, and high-quality RNA preparation.
- Performing targeted and untargeted bioinformatical analysis of functional processes and pathways.
Main Results:
- Detection of beneficial and adverse drug effects at the gene and metabolite levels.
- Identification of effects prior to macroscopic manifestation.
- Comprehensive analysis of a prototype cardiovascular drug with known effects.
Conclusions:
- A systems approach, integrating bioinformatics, offers a sensitive method for evaluating cardiovascular drug efficacy and safety.
- This approach allows for early detection of drug-induced changes at molecular levels.
- The described methodology provides a framework for analyzing novel cardiovascular treatment strategies.
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