{"title":"Association between sphingomyelin levels and gut microbiota abundance in Alzheimer's disease: a two-sample Mendelian randomization study.","authors":"Liping Wang, Yuyan Ding, Yu Tang, Mengqi Yang, Zhihui Yang, Xiao Yang, Jiazeng Xia","doi":"10.1186/s12883-025-04207-3","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Several previous observational studies have shown that abnormal sphingomyelin metabolism may be implicated in the pathogenesis of Alzheimer's disease. To determine the causal relationship between sphingolipid abundance and gut microbiota abundance at the genetic level, we conducted a Mendelian randomization (MR) investigation.</p><p><strong>Methods: </strong>We first used the TwoSampleMR and MRPRESSO packages for conducting two-sample MR studies. Second, we utilized random effect inverse variance weighting (IVW) as the principal method of analysis and used MR‒Egger, the weighted median, the simple mode and the weighted mode as supplementary methods. Finally, we performed tests for heterogeneity and horizontal pleiotropy. These analyses were also conducted to evaluate the impact of individual SNPs on the outcomes of our analysis. A Bonferroni-corrected threshold of p = 2.4e-4(0.05/211) was considered significant, and p values less than 0·05 were considered to be suggestive of an association.</p><p><strong>Results: </strong>The results showed that sphingolipid levels were suggestively associated with the abundance of 6 gut microbiota taxa. Specifically, two taxa were positively correlated with sphingolipid levels, including the family Alcaligenaceae (p = 0.006, OR 95% CI = 1.109 [1.030-1.194]) and the species Ruminococcus callidus (p = 0.034, OR 95% CI = 1.217 [1.015-1.460]). In contrast, negative correlations were observed with the abundances of 4 gut microbiota taxa, including the genus Flavonifractor (p = 0.026, OR 95% CI = 0.804 [0.663-0.974]), the genus Streptococcus (p = 0.014, OR 95% CI = 0.909 [0.842-0.981]), the species Bacteroides caccae (p = 0.037, OR 95% CI = 0.870 [0.763-0.992]), and the species Haemophilus parainfluenzae (p = 0.006, beta 95% CI = -0.269 [-0.462, -0.076]). The results presented a normal distribution, with no anomalous values, heterogeneity, or horizontal pleiotropic effects detected.</p><p><strong>Conclusions: </strong>This two-sample MR study revealed a potential causal relationship between sphingomyelin levels and gut microbiota abundance.</p>","PeriodicalId":9170,"journal":{"name":"BMC Neurology","volume":"25 1","pages":"191"},"PeriodicalIF":2.2000,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12044981/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Neurology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12883-025-04207-3","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background: Several previous observational studies have shown that abnormal sphingomyelin metabolism may be implicated in the pathogenesis of Alzheimer's disease. To determine the causal relationship between sphingolipid abundance and gut microbiota abundance at the genetic level, we conducted a Mendelian randomization (MR) investigation.
Methods: We first used the TwoSampleMR and MRPRESSO packages for conducting two-sample MR studies. Second, we utilized random effect inverse variance weighting (IVW) as the principal method of analysis and used MR‒Egger, the weighted median, the simple mode and the weighted mode as supplementary methods. Finally, we performed tests for heterogeneity and horizontal pleiotropy. These analyses were also conducted to evaluate the impact of individual SNPs on the outcomes of our analysis. A Bonferroni-corrected threshold of p = 2.4e-4(0.05/211) was considered significant, and p values less than 0·05 were considered to be suggestive of an association.
Results: The results showed that sphingolipid levels were suggestively associated with the abundance of 6 gut microbiota taxa. Specifically, two taxa were positively correlated with sphingolipid levels, including the family Alcaligenaceae (p = 0.006, OR 95% CI = 1.109 [1.030-1.194]) and the species Ruminococcus callidus (p = 0.034, OR 95% CI = 1.217 [1.015-1.460]). In contrast, negative correlations were observed with the abundances of 4 gut microbiota taxa, including the genus Flavonifractor (p = 0.026, OR 95% CI = 0.804 [0.663-0.974]), the genus Streptococcus (p = 0.014, OR 95% CI = 0.909 [0.842-0.981]), the species Bacteroides caccae (p = 0.037, OR 95% CI = 0.870 [0.763-0.992]), and the species Haemophilus parainfluenzae (p = 0.006, beta 95% CI = -0.269 [-0.462, -0.076]). The results presented a normal distribution, with no anomalous values, heterogeneity, or horizontal pleiotropic effects detected.
Conclusions: This two-sample MR study revealed a potential causal relationship between sphingomyelin levels and gut microbiota abundance.
背景:先前的几项观察性研究表明,鞘磷脂代谢异常可能与阿尔茨海默病的发病机制有关。为了在遗传水平上确定鞘脂丰度与肠道微生物群丰度之间的因果关系,我们进行了孟德尔随机化(MR)调查。方法:我们首先使用TwoSampleMR和MRPRESSO包装进行双样本磁共振研究。其次,以随机效应方差反加权法(IVW)为主要分析方法,以MR-Egger、加权中位数、简单模态和加权模态为辅助分析方法。最后,我们进行了异质性和水平多效性的检验。这些分析还用于评估单个snp对我们分析结果的影响。bonferroni校正阈值p = 2.4e-4(0.05/211)被认为是显著的,p值小于0.05被认为提示存在关联。结果:鞘脂水平与6种肠道微生物群的丰度呈正相关。其中,两个类群与鞘脂水平呈正相关,分别为Alcaligenaceae科(p = 0.006, OR 95% CI = 1.109[1.030-1.194])和Ruminococcus callidus (p = 0.034, OR 95% CI = 1.217[1.015-1.460])。与黄酮因子属(p = 0.026, OR 95% CI = 0.804[0.663-0.974])、链球菌属(p = 0.014, OR 95% CI = 0.909[0.842-0.981])、芽孢杆菌属(p = 0.037, OR 95% CI = 0.870[0.763-0.992])、副流感嗜血杆菌属(p = 0.006, β 95% CI = -0.269[-0.462, -0.076])等4个肠道微生物类群的丰度呈负相关。结果呈正态分布,未发现异常值、异质性或水平多效效应。结论:这项双样本MR研究揭示了鞘磷脂水平与肠道微生物群丰度之间的潜在因果关系。
期刊介绍:
BMC Neurology is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of neurological disorders, as well as related molecular genetics, pathophysiology, and epidemiology.