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AbstractThe development of coronary artery disease (CAD) is significantly affected by impaired endocrine and metabolic status. Under this circumstance, improved prevention and treatment of CAD may result from knowing the connection between metabolites and CAD. This study aims to delve into the causal relationship between human metabolic biomarkers and CAD by using two-sample Mendelian randomization (MR).
。在这种情况下,了解代谢物与CAD之间的联系可能会改善CAD的预防和治疗。本研究旨在通过使用双样本孟德尔随机化(MR)深入研究人类代谢生物标志物与CAD之间的因果关系。
Utilizing two-sample bidirectional MR analysis, we assessed the correlation between 1400 blood metabolites and CAD, and the metabolites data from the CLSA, encompassing 8299 participants. Metabolite analysis identified 1091 plasma metabolites and 309 ratios as instrumental variables. To evaluate the causal link between metabolites and CAD, we analyzed three datasets: ebi-a-GCST005195 (547,261 European & East Asian samples), bbj-a-159 (29,319 East Asian CAD cases & 183,134 East Asian controls), and ebi-a-GCST005194 (296,525 European & East Asian samples).
利用双样本双向MR分析,我们评估了1400种血液代谢物与CAD之间的相关性,以及来自CLSA的代谢物数据,包括8299名参与者。代谢物分析确定了1091种血浆代谢物和309种比例作为仪器变量。为了评估代谢物与CAD之间的因果关系,我们分析了三个数据集:ebi-a-GCST005195(547261个欧洲和东亚样本),bbj-a-159(29319个东亚CAD病例和183134个东亚对照)和ebi-a-GCST005194(296525个欧洲和东亚样本)。
To estimate causal links, we utilized the IVW method. To conduct sensitivity analysis, we used MR-Egger, Weighted Median, and MR-PRESSO. Additionally, we employed MR-Egger interception and Cochran’s Q statistic to assess potential heterogeneity and pleiotropy. What’s more, replication and reverse analyses were performed to verify the reliability of the results and the causal order between metabolites and disease.
为了估计因果关系,我们使用了IVW方法。为了进行敏感性分析,我们使用了MR-Egger,加权中位数和MR-PRESSO。此外,我们使用MR Egger拦截和Cochran的Q统计量来评估潜在的异质性和多效性。此外,还进行了复制和反向分析,以验证结果的可靠性以及代谢物与疾病之间的因果关系。
Furthermore, we conducted a pathway analysis to identify potential metabolic pathways. 59 blood metabolites and 27 metabolite ratios nominally associated with CAD (P < 0.05) were identified by IVW analysis method. A total of four known blood metabolites, namely beta-hydroxyisovaleroylcarnitine (OR 1.06, 95% CI 1.027–1.094, FDR 0.07), 1-palmitoyl-2-arachidonoyl (OR 1.07, 95% CI 1.029–1.110, FDR 0.09), 1-stearoyl.
此外,我们进行了途径分析,以确定潜在的代谢途径。通过IVW分析方法鉴定了59种血液代谢物和27种与CAD名义相关的代谢物比率(P<0.05)。共有四种已知的血液代谢物,即β-羟基异戊酰基肉碱(OR 1.06,95%CI 1.027-1.094,FDR 0.07),1-棕榈酰基-2-花生四烯酸(OR 1.07,95%CI 1.029-1.110,FDR 0.09),1-硬脂酰基。
IntroductionCoronary artery disease (CAD) is the predominant form of cardiovascular disease, responsible for 9.14 million deaths globally in 20191 CAD poses a significant burden on modern societies, with morbidity and mortality rates comparable to those of cancer2. Despite advancements in pharmacologic and surgical interventions, mortality rates resulting from CAD remain unacceptably high.
引言冠状动脉疾病(CAD)是心血管疾病的主要形式,20191年全球死亡人数为914万CAD对现代社会构成了沉重负担,其发病率和死亡率与癌症相当2。尽管药物和手术干预取得了进展,但CAD导致的死亡率仍然高得令人无法接受。
Effective prevention and treatment of CAD are crucial in reducing morbidity and disability. The exploration of biological mechanisms is essential for achieving this goal, with lifestyle, environmental, and genetic factors being identified as risk factors for cardiovascular disease development3. Over the past decade, significant progress has been made in identifying alleles that increase the risk of CAD4.
有效预防和治疗CAD对于降低发病率和残疾至关重要。探索生物学机制对于实现这一目标至关重要,生活方式,环境和遗传因素被确定为心血管疾病发展的危险因素3。在过去的十年中,在鉴定增加CAD4风险的等位基因方面取得了重大进展。
However, the fundamental mechanisms underlying this complex disease remain incompletely understood. Although etiologic studies of cardiovascular disease have greatly benefited from genetic advancements, particularly genome-wide association studies (GWAS)5,6,7,8, there are still substantial obstacles in linking these genetic discoveries to biological processes.Recent advancements in genomics tools, such as metabolomics, have provided new opportunities to investigate disease pathways.
然而,这种复杂疾病的基本机制仍未完全了解。尽管心血管疾病的病因学研究极大地受益于遗传进展,特别是全基因组关联研究(GWAS)5,6,7,8,但将这些遗传发现与生物过程联系起来仍然存在重大障碍。代谢组学等基因组学工具的最新进展为研究疾病途径提供了新的机会。
Metabolomics, by identifying intermediate metabolites and altered metabolic pathways, can offer new insights into the molecular mechanisms underlying diseases9,10. Global genomic studies of metabolites have recently identified loci associated with diseases, proposing mechanisms for disease onset and disease-related traits11,12,13.
。代谢物的全球基因组研究最近确定了与疾病相关的基因座,提出了疾病发作和疾病相关特征的机制11,12,13。
Moreover, the importance of metabolites in disease is progressively gaining attention, with studies establishing causal relationships between metabolites and delirium, osteoarthr.
此外,代谢物在疾病中的重要性正逐渐受到关注,研究确定了代谢物与deli妄,骨关节炎之间的因果关系。
Data availability
数据可用性
The data required for our analysis were obtained from publicly available data. Data were obtained from IEU OpenGwas (https://gwas.mrcieu.ac.uk/).
我们分析所需的数据是从公开可用的数据中获得的。数据来自IEU OpenGwas(https://gwas.mrcieu.ac.uk/)。
Code availability
代码可用性
All code and software are open source and free of charge. If you need it, you can contact Kai Yang or Yongmei Liu to get.
所有代码和软件都是免费的开源。如果您需要,可以联系杨凯或刘永美获取。
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Download referencesAuthor informationAuthor notesThese authors contributed equally: Kai Yang and Jixin Li.Authors and AffiliationsGuang’anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, 100053, People’s Republic of ChinaKai Yang, Xiaoshan Hui & Yongmei LiuXiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, 100091, People’s Republic of ChinaJixin Li & Wenru WangShandong University of Traditional Chinese Medicine, Jinan, 250355, People’s Republic of ChinaKai YangAuthorsKai YangView author publicationsYou can also search for this author in.
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PubMed Google ScholarContributionsFormal analysis, X.H; Methodology, K.Y, J.L and Y.L; Software, J.L and W.W; Supervision, Y. L; Validation, X.H; Writing—original draft, K.Y; Writing—review & editing, Y.L. The results were discussed and the text was evaluated by all authors.Corresponding authorCorrespondence to.
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Reprints and permissionsAbout this articleCite this articleYang, K., Li, J., Hui, X. et al. Assessing the causal relationship between metabolic biomarkers and coronary artery disease by Mendelian randomization studies.
转载和许可本文引用本文Yang,K.,Li,J.,Hui,X。等人通过孟德尔随机研究评估代谢生物标志物与冠状动脉疾病之间的因果关系。
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KeywordsCardiovascular diseasePlasma metabolitesMendelian randomizationBiomarkerRisk assessment
关键词心血管疾病血浆代谢物指数随机化生物标志物风险评估
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