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Updated: May 24, 2026

Differential Effects of Lipid-lowering Drugs in Modulating Morphology of Cholesterol Particles

Differential Effects of Lipid-lowering Drugs in Modulating Morphology of Cholesterol Particles

Published on: November 10, 2017

Statins personalized.

H Robert Superko¹, Kathryn M Momary, Yonghong Li

¹Celera Corporation, Alameda, CA 94502, USA. Robert.Superko@celera.com

The Medical Clinics of North America

|March 7, 2012

Summary

This summary is machine-generated.

Individual responses to statin medications vary significantly due to factors like compliance and genetic variations. Single nucleotide polymorphisms are increasingly recognized as key contributors to these differences in statin effectiveness and side effects.

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Area of Science:

Pharmacogenomics
Cardiovascular Medicine
Drug Metabolism

Background:

Statins (3-Hydroxy-3-methylglutaryl coenzyme A reductase inhibitors) are widely prescribed for cardiovascular risk reduction.
Observed variability in patient response to statins includes differences in low-density lipoprotein cholesterol reduction, clinical benefits, and adverse effects.
Factors contributing to this variability include demographic characteristics, environmental influences like medication compliance, and genetic predispositions.

Purpose of the Study:

To investigate the role of genetic factors, specifically single nucleotide polymorphisms (SNPs), in explaining individual variability in response to statin therapy.
To highlight the clinical utility of identified SNPs in predicting patient outcomes with statins.

Main Methods:

Review of recent literature on statin pharmacogenomics.
Analysis of studies identifying single nucleotide polymorphisms associated with statin efficacy and safety.
Evaluation of the clinical relevance of these genetic markers.

Main Results:

A significant portion of the variability in individual response to statins is attributable to single nucleotide polymorphisms.
Several specific SNPs have been identified and elucidated.
These identified SNPs demonstrate potential clinical utility in predicting patient response.

Conclusions:

Genetic variations, particularly single nucleotide polymorphisms, play a crucial role in individualizing statin therapy.
Understanding these genetic factors can help optimize statin treatment strategies for improved patient outcomes.
Pharmacogenomic approaches hold promise for tailoring cardiovascular pharmacotherapy.