Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study

Abstract Background Considerable attention has been devoted to investigating the association between lipid metabolites and cardiovascular diseases, particularly coronary atherosclerosis. Methods A two-sample MR framework was used to investigate the relationship between lipid metabolites and the risk...

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Main Authors: Qun Wang, Yuan Cao, Lianqun Jia
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Hereditas
Subjects:
Online Access:https://doi.org/10.1186/s41065-025-00367-x
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author Qun Wang
Yuan Cao
Lianqun Jia
author_facet Qun Wang
Yuan Cao
Lianqun Jia
author_sort Qun Wang
collection DOAJ
description Abstract Background Considerable attention has been devoted to investigating the association between lipid metabolites and cardiovascular diseases, particularly coronary atherosclerosis. Methods A two-sample MR framework was used to investigate the relationship between lipid metabolites and the risk of coronary atherosclerosis. Two GWAS datasets were examined to take intersections of SNPs from 51,589 cases and 343,079 controls, and 14,334 cases and 346,860 controls to determine genetic susceptibility to coronary atherosclerosis. Random-effects inverse variance weighted (IVW) MR analyses were performed by a series of sensitivity assessments to measure the robustness of our findings and to detect any violations of MR assumptions. Results Through IVW, MR-Egger and weighted median regression methods, we inferred that these six lipid metabolites: cholesterol levels, sterol ester (27:1/18:2) levels, triacylglycerol (52:4) levels, triacylglycerol (52:5) levels, diacylglycerol (18:1_18.2) levels, triacylglycerol (53:4), could directly impact the development of atherosclerosis. Conclusion In conclusion, our study comprehensively illustrates a causal relationship between lipid metabolites and the risk of coronary atherosclerosis. Furthermore, cholesterol levels, sterol ester (27:1/18:2) levels, triacylglycerol (52:4) levels, triacylglycerol (52:5) levels, diacylglycerol (18:1_18.2) levels, and triacylglycerol (53:4) levels are positively correlated with the risk of coronary atherosclerosis. These six lipid metabolites have the potential as new predictors of the risk of atherosclerosis, providing new insights into the treatment and prevention of cardiovascular diseases.
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spelling doaj-art-47f6a97347fa46c69d7d6db14571ac3d2025-02-02T12:27:38ZengBMCHereditas1601-52232025-02-01162111610.1186/s41065-025-00367-xLipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization studyQun Wang0Yuan Cao1Lianqun Jia2Key Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Ministry of Education of China, Liaoning University of Traditional Chinese MedicineKey Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Ministry of Education of China, Liaoning University of Traditional Chinese MedicineKey Laboratory of Ministry of Education for TCM Viscera-State Theory and Applications, Ministry of Education of China, Liaoning University of Traditional Chinese MedicineAbstract Background Considerable attention has been devoted to investigating the association between lipid metabolites and cardiovascular diseases, particularly coronary atherosclerosis. Methods A two-sample MR framework was used to investigate the relationship between lipid metabolites and the risk of coronary atherosclerosis. Two GWAS datasets were examined to take intersections of SNPs from 51,589 cases and 343,079 controls, and 14,334 cases and 346,860 controls to determine genetic susceptibility to coronary atherosclerosis. Random-effects inverse variance weighted (IVW) MR analyses were performed by a series of sensitivity assessments to measure the robustness of our findings and to detect any violations of MR assumptions. Results Through IVW, MR-Egger and weighted median regression methods, we inferred that these six lipid metabolites: cholesterol levels, sterol ester (27:1/18:2) levels, triacylglycerol (52:4) levels, triacylglycerol (52:5) levels, diacylglycerol (18:1_18.2) levels, triacylglycerol (53:4), could directly impact the development of atherosclerosis. Conclusion In conclusion, our study comprehensively illustrates a causal relationship between lipid metabolites and the risk of coronary atherosclerosis. Furthermore, cholesterol levels, sterol ester (27:1/18:2) levels, triacylglycerol (52:4) levels, triacylglycerol (52:5) levels, diacylglycerol (18:1_18.2) levels, and triacylglycerol (53:4) levels are positively correlated with the risk of coronary atherosclerosis. These six lipid metabolites have the potential as new predictors of the risk of atherosclerosis, providing new insights into the treatment and prevention of cardiovascular diseases.https://doi.org/10.1186/s41065-025-00367-xMendelian randomizationLipid metabolismAtherosclerosisIntermediate analysisIncidence of a disease
spellingShingle Qun Wang
Yuan Cao
Lianqun Jia
Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study
Hereditas
Mendelian randomization
Lipid metabolism
Atherosclerosis
Intermediate analysis
Incidence of a disease
title Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study
title_full Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study
title_fullStr Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study
title_full_unstemmed Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study
title_short Lipidomics-based investigation of its impact on the pathogenesis of coronary atherosclerosis: a Mendelian randomization study
title_sort lipidomics based investigation of its impact on the pathogenesis of coronary atherosclerosis a mendelian randomization study
topic Mendelian randomization
Lipid metabolism
Atherosclerosis
Intermediate analysis
Incidence of a disease
url https://doi.org/10.1186/s41065-025-00367-x
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AT yuancao lipidomicsbasedinvestigationofitsimpactonthepathogenesisofcoronaryatherosclerosisamendelianrandomizationstudy
AT lianqunjia lipidomicsbasedinvestigationofitsimpactonthepathogenesisofcoronaryatherosclerosisamendelianrandomizationstudy