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Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis

BACKGROUND: Emerging evidence suggests that remnant cholesterol (RC) is strongly associated with an increased incidence of cardiometabolic diseases (CMD). However, the causality have not been confirmed. We aimed to evaluate the causal associations of RC with CMD and the relative risk factors using t...

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Autores principales: Guan, Baoyi, Wang, Anlu, Xu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416527/
https://www.ncbi.nlm.nih.gov/pubmed/37563569
http://dx.doi.org/10.1186/s12933-023-01927-z
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author Guan, Baoyi
Wang, Anlu
Xu, Hao
author_facet Guan, Baoyi
Wang, Anlu
Xu, Hao
author_sort Guan, Baoyi
collection PubMed
description BACKGROUND: Emerging evidence suggests that remnant cholesterol (RC) is strongly associated with an increased incidence of cardiometabolic diseases (CMD). However, the causality have not been confirmed. We aimed to evaluate the causal associations of RC with CMD and the relative risk factors using two-sample Mendelian randomization (MR) methods. METHODS: Summary-level statistics of RC, CMD, and cardiometabolic risk factors were obtained from the published data from individuals with a predominantly European ancestry mainly from the UK Biobank and the FinnGen biobank. Univariable and multivariable MR analyses were used to evaluate the causal relationships between RC and CMD. A bidirectional MR analysis was performed to estimate the causality between RC and cardiometabolic risk factors. The main MR method was conducted using the inverse-variance weighted method. RESULTS: Univariable MR analyses showed that genetically predicted RC was causally associated with higher risk of ischemic heart disease, myocardial infarction, atrial fibrillation and flutter, peripheral artery disease, and non-rheumatic valve diseases (all P < 0.05). Multivariable MR analyses provided compelling evidence of the harmful effects of RC on the risk of ischemic heart disease (P < 0.05). Bidirectional MR analysis demonstrated that RC was bidirectionally causally linked to total cholesterol, triglycerides, low-density lipoprotein cholesterol, hypercholesterolemia (all P < 0.05). However, no genetic association was found between RC and metabolic disorders or the other cardiometabolic risk factors. CONCLUSIONS: This MR study demonstrates that genetically driven RC increases the risk of several CMD and cardiometabolic risk factors, suggesting that targeted RC-lowering therapies may be effective for the primary prevention of CMD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01927-z.
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spelling pubmed-104165272023-08-12 Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis Guan, Baoyi Wang, Anlu Xu, Hao Cardiovasc Diabetol Research BACKGROUND: Emerging evidence suggests that remnant cholesterol (RC) is strongly associated with an increased incidence of cardiometabolic diseases (CMD). However, the causality have not been confirmed. We aimed to evaluate the causal associations of RC with CMD and the relative risk factors using two-sample Mendelian randomization (MR) methods. METHODS: Summary-level statistics of RC, CMD, and cardiometabolic risk factors were obtained from the published data from individuals with a predominantly European ancestry mainly from the UK Biobank and the FinnGen biobank. Univariable and multivariable MR analyses were used to evaluate the causal relationships between RC and CMD. A bidirectional MR analysis was performed to estimate the causality between RC and cardiometabolic risk factors. The main MR method was conducted using the inverse-variance weighted method. RESULTS: Univariable MR analyses showed that genetically predicted RC was causally associated with higher risk of ischemic heart disease, myocardial infarction, atrial fibrillation and flutter, peripheral artery disease, and non-rheumatic valve diseases (all P < 0.05). Multivariable MR analyses provided compelling evidence of the harmful effects of RC on the risk of ischemic heart disease (P < 0.05). Bidirectional MR analysis demonstrated that RC was bidirectionally causally linked to total cholesterol, triglycerides, low-density lipoprotein cholesterol, hypercholesterolemia (all P < 0.05). However, no genetic association was found between RC and metabolic disorders or the other cardiometabolic risk factors. CONCLUSIONS: This MR study demonstrates that genetically driven RC increases the risk of several CMD and cardiometabolic risk factors, suggesting that targeted RC-lowering therapies may be effective for the primary prevention of CMD. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12933-023-01927-z. BioMed Central 2023-08-10 /pmc/articles/PMC10416527/ /pubmed/37563569 http://dx.doi.org/10.1186/s12933-023-01927-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Guan, Baoyi
Wang, Anlu
Xu, Hao
Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis
title Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis
title_full Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis
title_fullStr Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis
title_full_unstemmed Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis
title_short Causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis
title_sort causal associations of remnant cholesterol with cardiometabolic diseases and risk factors: a mendelian randomization analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10416527/
https://www.ncbi.nlm.nih.gov/pubmed/37563569
http://dx.doi.org/10.1186/s12933-023-01927-z
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