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Lipidomic analysis identified potential predictive biomarkers of statin response in subjects with Familial
Alvaro Cerda1, Raul Hernandes Bortolin2, Marcos Yukio Yoshinaga3
1Department of Basic Sciences, Center of Excellence in Translational Medicine, CEMT-BIOREN, Universidad de La Frontera, Temuco 4810296, Chile.
Insights
Familial hypercholesterolemia (FH) patients show altered lipid profiles with statin treatment. Phosphatidyl-inositol molecules (PI) are identified as key biomarkers predicting statin response in FH individuals.
Area of Science:
- Biochemistry
- Metabolomics
- Cardiovascular Medicine
Background:
- Familial hypercholesterolemia (FH) is a genetic lipid metabolism disorder leading to elevated LDL-c and premature atherosclerosis.
- Statins are crucial for lowering LDL-c and preventing cardiovascular events by inhibiting cholesterol synthesis.
Purpose of the Study:
- To investigate the impact of statin therapy on the serum lipidomic profile in FH patients.
- To identify potential biomarkers that predict an individual's response to statin treatment.
Main Methods:
- Seventeen adult FH patients were treated with atorvastatin or rosuvastatin after a washout period.
- Serum lipidomic profiles were analyzed using ultra-high-performance liquid chromatography-tandem mass spectrometry.
- Data analysis was performed using MetaboAnalyst v5.0 to identify significant lipid changes and predictive biomarkers.
Main Results:
- Statin treatment significantly altered 8 out of 13 lipid classes, notably reducing phosphatidylinositols (PI) and triacylglycerols (TAG).
- Specific PI molecules, including PI 16:0/18:2, 18:0/18:1, and 18:0/18:2, were significantly altered.
- PI 16:1/18:0, 16:0/18:2, and 18:0/18:2 were identified as potent predictors of statin response, with high ROC AUC values.
Conclusions:
- Statins profoundly modulate the serum lipid composition in individuals with FH.
- Phosphatidyl-inositol (PI) molecules show promise as predictive biomarkers for statin efficacy in FH patients.
Abstract:
Familial hypercholesterolemia (FH) is a disorder of lipid metabolism that causes elevated low-density lipoprotein cholesterol (LDL-c) and increased premature atherosclerosis risk. Statins inhibit endogenous cholesterol biosynthesis, which reduces LDL-c plasma levels and prevent from cardiovascular events. This study aimed to explore the effects of statin treatment on serum lipidomic profile and to identify biomarkers of response in subjects with FH. Seventeen adult FH patients underwent a 6-week washout followed by 4-week treatment with atorvastatin (80 mg/day) or rosuvastatin (40 mg/day). LDL-c response was considered good (40-70 % reduction, n = 9) or poor (3-33 % reduction, n = 8). Serum lipidomic profile was analyzed by ultra-high-performance liquid chromatography combined with electrospray ionization tandem time-of-flight mass spectrometry, and data were analyzed using MetaboAnalyst v5.0. Lipidomic analysis identified 353 lipids grouped into 16 classes. Statin treatment reduced drastically 8 of 13 lipid classes, generating a characteristic lipidomic profile with a significant contribution of phosphatidylinositols (PI) 16:0/18:2, 18:0/18:1 and 18:0/18:2; and triacylglycerols (TAG) 18:2x2/18:3, 18:1/18:2/18:3, 16:1/18:2x2, 16:1/18:2/18:3 and 16:1/18:2/Arachidonic acid (p-adjusted <0.05). Biomarker analysis implemented in MetaboAnalyst subsequently identified PI 16:1/18:0, 16:0/18:2 and 18:0/18:2 as predictors of statin response with and receiver operating characteristic (ROC) areas under the curve of 0.98, 0.94 and 0.91, respectively. In conclusion, statins extensively modulate the overall serum lipid composition of FH individuals and these findings suggest that phosphatidyl-inositol molecules are potential predictive biomarkers of statin response.
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