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Published on: November 17, 2018
Physiogenomic analysis of statin-treated patients: domain-specific counter effects within the ACACB gene on
Gualberto Ruaño1, Paul D Thompson, John P Kane
1Genomas, Inc, 67 Jefferson Street, Hartford, CT 06106, USA. g.ruano@genomas.net
Insights
Researchers identified genetic variations in the acetyl-coenzyme A carboxylase beta (ACACB) gene that influence low-density lipoprotein cholesterol (LDLC) levels during statin therapy. These findings may help personalize statin prescriptions to improve effectiveness and reduce side effects.
Area of Science:
- Pharmacogenomics
- Cardiovascular Genetics
- Metabolic Research
Background:
- Statins are commonly prescribed to lower low-density lipoprotein cholesterol (LDLC) in patients with hypercholesterolemia.
- Individual responses to statin therapy, particularly regarding LDLC reduction, can vary significantly.
- Genetic factors are hypothesized to contribute to this inter-individual variability in LDLC levels.
Purpose of the Study:
- To investigate novel genetic underpinnings for variations in LDLC levels in patients undergoing statin therapy.
- To identify specific single nucleotide polymorphisms (SNPs) associated with differential LDLC responses to statins.
Main Methods:
- Genotyping of 384 SNPs across 222 genes in 202 volunteers from a lipid outpatient clinic.
- Analysis of LDLC levels obtained from patient chart records.
- Statistical analysis to identify significant associations between SNPs and LDLC levels, including correction for multiple testing.
Main Results:
- Significant associations were found between LDLC levels and two SNPs in the acetyl-coenzyme A carboxylase beta (ACACB) gene: rs34274 (p < 0.0002) and rs2241220 (p < 0.008).
- The rs34274 SNP (C>T substitution) was identified as a risk marker, while rs2241220 (C>T substitution) was identified as a protective marker for LDLC levels.
- These SNPs are hypothesized to influence ACACB enzymatic activity through distinct mechanisms, affecting fatty acid metabolism.
Conclusions:
- Physiogenomic evidence suggests a novel link between LDLC levels and the regulation of fatty acid metabolism via the ACACB gene.
- These findings complement previous research on SNPs associated with statin-induced myalgia and myositis.
- A physiogenomic model incorporating LDLC, myalgia, and myositis genotyping could optimize statin therapy effectiveness and minimize adverse effects.
Aim:
Administered at maximal dosages, the most common statins--atorvastatin, simvastatin and rosuvastatin--lower low-density lipoprotein cholesterol (LDLC) by an average of 37-57% in patients with primary hypercholesterolemia. We hypothesized novel genetic underpinnings for variation in LDLC levels in the context of statin therapy.
Materials & Methods:
Genotyping of 384 SNPs in 202 volunteers from a lipid outpatient clinic was accomplished and LDLC levels obtained from chart records. The SNPs were distributed across 222 genes representing physiological pathways such as general metabolism, cholesterol biochemistry, cardiovascular function, inflammation, neurobiology and cell proliferation. We discovered significant associations with LDLC levels for the rs34274 SNP (p < 0.0002) and for rs2241220 (p < 0.008) in the acetyl-coenzyme A carboxylase beta (ACACB) gene. When corrected for multiple testing, the false-discovery rate associated with rs34274 was 0.076 (significance threshold: 0.10) and for rs2241220 the false-discovery rate was 0.93 (not significant). The acetyl coenzyme A carboxylase beta enzyme synthesizes malonyl coenzyme A, an essential substrate for hepatic fatty acid synthesis and an inhibitor of fatty acid oxidation.
Results:
The SNPs were in weak linkage disequilibrium (D = 0.302). Minor alleles at these sites demonstrate opposing influences on LDLC; the C>T substitution at rs34724 is a risk marker and the C>T substitution at rs2241220 a protective marker for LDLC levels. These SNPs hypothetically influence enzymatic activity through different mechanisms, rs34274 through the PII promoter and rs2241220 via alteration of the protein's responsiveness to allosteric influence.
Conclusion:
Physiogenomic evidence suggests a novel link between LDLC levels and the regulation of fatty acid metabolism. The findings complement previously discovered novel SNP relationships to myalgia (pain) and myositis (serum creatine kinase activity). By genotyping for myositis, myalgia and LDLC levels, a physiogenomic model may be developed to help clinicians maximize effectiveness and minimize side effects in prescribing statins.
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