Exploring the causal role of plasma metabolites in pediatric asthma: a Mendelian randomization study
收藏Taylor & Francis Group2025-11-20 更新2026-04-16 收录
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https://tandf.figshare.com/articles/dataset/Exploring_the_Causal_Role_of_Plasma_Metabolites_in_Pediatric_Asthma_A_Mendelian_Randomization_Study/30051662/2
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Pediatric asthma (PA) is the prevailing chronic respiratory ailment in childhood. A better understanding of plasma metabolites is the goal for elucidating the molecular pathological mechanisms of PA and investigating novel therapeutic approaches. Data for PA from Genome-Wide Association Studies (GWAS) was derived from the IEU-OpenGWAS project, featuring a collection of 1400 plasma metabolites. The inverse-variance weighting (IVW) method assessed causal relationships between plasma metabolites and PA, with measures taken to mitigate horizontal pleiotropy and heterogeneity. To select instrumental variables, a genome-wide significance threshold (<i>p</i> < 5 × 10–8) was applied to ensure robust genetic instruments. A Bonferroni correction controlled for multiple testing, with statistical significance defined as <i>p</i> < 3.57 × 10–5) (0.05/1400). To further substantiate outcomes, a reverse Mendelian randomization analysis was conducted. Research found 91 plasma metabolites linked to PA, ten of which showed significant associations. Of note, 20:4n6 levels (IVW: OR (95% CI) = 1.062 (1.030 to 1.094) and G/C16 (IVW: OR (95% CI) = 0.886 (0.832 to 0.943) were identified as pivotal exposure factors for PA. This study highlights 10 plasma metabolites that may have significant associations with PA incidence, with 20:4n6 levels and G/C16 potentially serving as valuable biomarkers for the early detection and management of PA.
小儿哮喘(Pediatric asthma, PA)是儿童群体中最为常见的慢性呼吸道疾病。深入解析血浆代谢物,旨在阐明小儿哮喘的分子病理机制并探索全新治疗策略。本研究的小儿哮喘全基因组关联研究(Genome-Wide Association Studies, GWAS)数据源自IEU-OpenGWAS项目,该项目收录了1400种血浆代谢物。研究采用逆方差加权(inverse-variance weighting, IVW)法评估血浆代谢物与小儿哮喘之间的因果关联,并采取措施以减轻水平多效性与异质性偏倚。为筛选工具变量(instrumental variables),本研究采用全基因组显著性阈值(p<5×10^-8)以确保遗传工具变量的有效性。采用邦费罗尼校正(Bonferroni correction)对多重检验进行控制,将统计学显著性阈值设定为p<3.57×10^-5(即0.05/1400)。为进一步验证研究结果,本研究还开展了反向孟德尔随机化(Mendelian randomization)分析。研究共筛选出91种与小儿哮喘存在关联的血浆代谢物,其中10种具有显著统计学关联。值得注意的是,20:4n6水平(IVW:比值比(95% CI)=1.062(1.030~1.094))与G/C16(IVW:比值比(95% CI)=0.886(0.832~0.943))被确定为小儿哮喘的关键暴露因素。本研究明确了10种与小儿哮喘发病存在显著关联的血浆代谢物,其中20:4n6水平与G/C16有望成为小儿哮喘早期检测与临床管理的潜在生物标志物。
提供机构:
Han, Ying; Xin, Deli; Bi, Yingwei; Wang, Wei; Hu, Wenjuan; Ma, Shaojie
创建时间:
2025-09-05



