探索代谢物与特应性皮炎之间的遗传关联:欧洲人群双向孟德尔随机分析的启示

IF 4 2区 农林科学 Q2 NUTRITION & DIETETICS Frontiers in Nutrition Pub Date : 2024-09-10 DOI:10.3389/fnut.2024.1451112
Ao He, Zhisheng Hong, Xinqi Zhao, Hainan Li, Ying Xu, Yangheng Xu, Zhaoyi Jing, Haoteng Ma, Zhuo Gong, Bing Yang, Qingzhu Zhou, Fan Zheng, Xian Zhao
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In primary analysis, AD data, was sourced from the GWAS catalog (Accession ID: <jats:ext-link>GCST90244787</jats:ext-link>), comprising 60,653 cases and 804,329 controls. For replication, AD data from the Finnish R10 database included 15,208 cases and 367,046 controls. We primarily utilized the inverse variance weighting method to assess the causal relationship between blood metabolites and AD.ResultsOur study identified significant causal relationships between nine genetically predicted blood metabolites and AD. Specifically, 1-palmitoyl-2-stearoyl-GPC (16:0/18:0) (OR = 0.92, 95% CI 0.89–0.94), 1-methylnicotinamide (OR = 0.93, 95% CI 0.89–0.98), linoleoyl-arachidonoyl-glycerol (18:2/20:4) [1] (OR = 0.94, 95% CI 0.92–0.96), and 1-arachidonoyl-GPC (20:4n6) (OR = 0.94, 95% CI 0.92–0.96) were associated with a reduced risk of AD. 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引用次数: 0

摘要

引言越来越多的证据表明,血液代谢物与特应性皮炎(AD)之间存在复杂的相互作用。本研究的目的是通过孟德尔随机分析法(MR)研究和量化血浆代谢物对特应性皮炎的潜在影响。方法我们的研究过程遵循以下步骤:工具变量选择、主要分析、复制分析、结果元分析、反向 MR 分析和多变量 MR(MVMR)分析。在我们的研究中,暴露因素来自加拿大老龄化纵向研究(CLSA),包括 8299 名欧洲后裔,确定了 1091 种血浆代谢物和 309 种代谢物比率。在主要分析中,AD 数据来自 GWAS 目录(Accession ID:GCST90244787),包括 60,653 个病例和 804,329 个对照。在复制方面,AD 数据来自芬兰 R10 数据库,包括 15,208 个病例和 367,046 个对照。我们主要利用反方差加权法来评估血液代谢物与AD之间的因果关系。结果我们的研究确定了九种基因预测的血液代谢物与AD之间的显著因果关系。具体来说,1-棕榈酰-2-硬脂酰-GPC(16:0/18:0)(OR = 0.92,95% CI 0.89-0.94)、1-甲基烟酰胺(OR = 0.93,95% CI 0.89-0.98)、亚油酰- arachidonoyl-甘油(18:2/20:4)[1](OR = 0.94,95% CI 0.92-0.96)和 1-arachidonoyl-GPC(20:4n6)(OR = 0.94,95% CI 0.92-0.96)与 AD 风险降低有关。相反,磷酸盐/亚油酰-丙烯酰-甘油(18:2/20:4)[2](OR = 1.07,95% CI 1.04-1.10)、二十二碳三烯酸酯(22:3n3)(OR = 1.07,95% CI 1.04-1.10)、视黄醇(维生素 A)/亚油酰-丙烯酰-甘油(18:2/20:4)[2](OR = 1.08,95% CI 1.视黄醇(维生素 A)/亚油酸酰-丙烯酰甘油(18:2/20:4)[1](OR = 1.08,95% CI 1.05-1.12)和磷酸盐/亚油酸酰-丙烯酰甘油(18:2/20:4)[1](OR = 1.09,95% CI 1.07-1.12)与 AD 风险增加相关。在之前的显著结果中没有发现反向因果关系的证据。MVMR分析进一步证实,1-棕榈酰-2-硬脂酰-GPC(16:0/18:0)和1-甲基烟酰胺是导致AD发病的独立和主要因素。这一发现为治疗注意力缺失症患者的药物开发提供了特定靶点,并为未来研究注意力缺失症的内在机制提供了宝贵的见解。
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Exploring genetic associations between metabolites and atopic dermatitis: insights from bidirectional Mendelian randomization analysis in European population
IntroductionThere is growing evidence indicating a complex interaction between blood metabolites and atopic dermatitis (AD). The objective of this study was to investigate and quantify the potential influence of plasma metabolites on AD through Mendelian randomization (MR) analysis.MethodsOur procedures followed these steps: instrument variable selection, primary analysis, replication analysis, Meta-analysis of results, reverse MR analysis, and multivariate MR (MVMR) analysis. In our study, the exposure factors were derived from the Canadian Longitudinal Study on Aging (CLSA), encompassing 8,299 individuals of European descent and identifying 1,091 plasma metabolites and 309 metabolite ratios. In primary analysis, AD data, was sourced from the GWAS catalog (Accession ID: GCST90244787), comprising 60,653 cases and 804,329 controls. For replication, AD data from the Finnish R10 database included 15,208 cases and 367,046 controls. We primarily utilized the inverse variance weighting method to assess the causal relationship between blood metabolites and AD.ResultsOur study identified significant causal relationships between nine genetically predicted blood metabolites and AD. Specifically, 1-palmitoyl-2-stearoyl-GPC (16:0/18:0) (OR = 0.92, 95% CI 0.89–0.94), 1-methylnicotinamide (OR = 0.93, 95% CI 0.89–0.98), linoleoyl-arachidonoyl-glycerol (18:2/20:4) [1] (OR = 0.94, 95% CI 0.92–0.96), and 1-arachidonoyl-GPC (20:4n6) (OR = 0.94, 95% CI 0.92–0.96) were associated with a reduced risk of AD. Conversely, phosphate / linoleoyl-arachidonoyl-glycerol (18:2/20:4) [2] (OR = 1.07, 95% CI 1.04–1.10), docosatrienoate (22:3n3) (OR = 1.07, 95% CI 1.04–1.10), retinol (Vitamin A) / linoleoyl-arachidonoyl-glycerol (18:2/20:4) [2] (OR = 1.08, 95% CI 1.05–1.11), retinol (Vitamin A) / linoleoyl-arachidonoylglycerol (18:2/20:4) [1] (OR = 1.08, 95% CI 1.05–1.12), and phosphate / linoleoyl-arachidonoyl-glycerol (18:2/20:4) [1] (OR = 1.09, 95% CI 1.07–1.12 were associated with an increased risk of AD. No evidence of reverse causality was found in the previously significant results. MVMR analysis further confirmed that 1-palmitoyl-2-stearoyl-GPC (16:0/18:0) and 1-methylnicotinamide are independent and dominant contributors to the development of AD.ConclusionOur study revealed a causal relationship between genetically predicted blood metabolites and AD. This discovery offers specific targets for drug development in the treatment of AD patients and provides valuable insights for investigating the underlying mechanisms of AD in future research.
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来源期刊
Frontiers in Nutrition
Frontiers in Nutrition Agricultural and Biological Sciences-Food Science
CiteScore
5.20
自引率
8.00%
发文量
2891
审稿时长
12 weeks
期刊介绍: No subject pertains more to human life than nutrition. The aim of Frontiers in Nutrition is to integrate major scientific disciplines in this vast field in order to address the most relevant and pertinent questions and developments. Our ambition is to create an integrated podium based on original research, clinical trials, and contemporary reviews to build a reputable knowledge forum in the domains of human health, dietary behaviors, agronomy & 21st century food science. Through the recognized open-access Frontiers platform we welcome manuscripts to our dedicated sections relating to different areas in the field of nutrition with a focus on human health. Specialty sections in Frontiers in Nutrition include, for example, Clinical Nutrition, Nutrition & Sustainable Diets, Nutrition and Food Science Technology, Nutrition Methodology, Sport & Exercise Nutrition, Food Chemistry, and Nutritional Immunology. Based on the publication of rigorous scientific research, we thrive to achieve a visible impact on the global nutrition agenda addressing the grand challenges of our time, including obesity, malnutrition, hunger, food waste, sustainability and consumer health.
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