遗传预测血浆代谢物介导肠道微生物群与骨肉瘤之间的因果关系。

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Xiuyu Qin, Zhuming Fan, Shaopeng Qiao, Jian Li, Jia Lv
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引用次数: 0

摘要

以往的研究表明,骨肉瘤(OS)的发生与特定肠道微生物群(GM)的丰度变化密切相关。一般来说,肠道微生物群主要通过代谢物对人体健康发挥作用。然而,GM、血浆代谢物和 OS 之间的因果关系仍不清楚。因此,在我们的研究中,我们采用孟德尔随机化(MR)方法,旨在阐明基因改造、血浆代谢物和职业病之间的关系。在本研究中,我们从公开的全基因组关联研究(GWAS)中获得了基因组(GCST90032172 至 GCST90032644)、血浆代谢物(GCST90199621 至 GCST90204603)和操作系统(finngen_R10_C3_STEOSARCOMA_EXALLC)的汇总数据。本次分析采用了双样本和两步 MR 方法:(1)GM 和血浆代谢物对 OS 的遗传因果关系;(2)血浆代谢物的中介效应。在评估之前描述的因果关系时,主要使用了反方差加权(IVW)方法,辅助方法包括加权中位数、MR-Egger、加权模式和简单模式。此外,还采用了 MR-Egger 截距检验和泯灭随机褶皱残差和离群值(MR-PRESSO)来评估水平多重性。通过 "leave-one-out "敏感性分析和异质性 Cochran's Q 检验,验证了因果关系的可靠性。本研究采用了用于报告磁共振研究的 STROBE-MR 检查表。首先,根据 IVW 结果,具体确定了 13 种 GM 与 OS 存在潜在因果关系。经 FDR 校正后,Phocea 被定义为与 OS 有明确因果关系的菌株(经 FDR 调整的 p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetically predicted plasma metabolites mediate the causal relationship between gut microbiota and osteosarcoma.

Previous research has demonstrated a close connection between the development of osteosarcoma (OS) and variations in the abundance of specific gut microbiota (GM). Generally speaking, GM play a role in human health mostly through metabolites. However, the causal relationship between GM, plasma metabolites, and OS remains unclear. Hence, in our study, we aim to clarify this relationship between GM, plasma metabolites, and OS, by employing a Mendelian randomization (MR) approach. In this study, pooled data were derived from the public genome-wide association study (GWAS) in GM (GCST90032172 to GCST90032644), plasma metabolites (GCST90199621 to GCST90204603) and OS (finngen_R10_C3_OSTEOSARCOMA_EXALLC). The two-sample and two-step MR methods were used for the current analysis: (1) genetic causality between GM and plasma metabolites on OS; (2) mediation effects of plasma metabolites. For evaluating the previously described causal relationship, the inverse variance weighted (IVW) method was primarily used, with complementary approaches including the weighted median, MR-Egger, weighted mode, and simple mode. Moreover, the MR-Egger intercept test and the mendelian randomization pleiotropy residual sum and outlier (MR-PRESSO) were employed to assess the horizontal multiplicity. The reliability of causality is verified by "leave-one-out" sensitivity analysis and the Cochran's Q test for heterogeneity. The STROBE-MR checklist for the reporting of MR studies was used in this study. First, according to the IVW results, 13 types of GM, specifically, were identified to have a potential causal relationship with OS. After FDR correction, Phocea was defined as a strain with a clear causal relationship with OS (FDR-adjusted p < 0.05). Second, a total of 48 plasma metabolites were identified to have a potential causal relationship with OS, including 30 currently known metabolites, 7 metabolites not yet studied, and 11 metabolite ratios. Finally, we further explored whether plasma metabolites mediate the causal relationship between Phocea and OS. And as a result, two plasma metabolites, Eugenol sulfate levels (mediated proportion: 7.74% (14.2%, 1.3%)) and N-acetylphenylalanine levels (mediated proportion: 3.52% (6.18%, 0.867%)), that may mediate the causal link between Phocea and OS were identified. All of the above results were subjected to sensitivity analysis. The causal relationship between GM, plasma metabolites, and OS was revealed in this MR study. Importantly, this study also demonstrated the mediating role of plasma metabolites levels of Eugenol sulfate levels and N-acetylphenylalanine levels in modulating the causal relationship between Phocea and OS. Of course, further research needs to be conducted to verify the above findings.

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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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