Deciphering the Causality between Gut Microbiota Dysbiosis and Poisoning by Narcotics and Psychodysleptics: A Mendelian Randomization Analysis.

IF 5.4 3区材料科学 Q2 CHEMISTRY, PHYSICAL ACS Applied Energy Materials Pub Date : 2024-07-30 DOI:10.2174/1570159X22999240729092453

Ning Wang, Zhenbo Su

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Abstract

Background: This study investigates the connection between gut microbiota and poisoning caused by narcotics and psychodysleptics, using Mendelian randomization (MR) to explore possible causal relationships.

Methods: The study employed the MR analysis, leveraging genetic variants as instrumental variables to facilitate robust causal inference. Data for gut microbiota was extracted from the MiBioGen study, integrating genome-wide genotyping data with 16S fecal microbiota profiles. Outcome metrics were based on the Finngen study. Genetic instruments were meticulously extracted based on stringent criteria, and harmonized with SNP outcomes associated with "Poisoning by narcotics and psychodysleptics [hallucinogens]". The inverse-variance weighted (IVW) method was utilized for MR analysis, supplemented by sensitivity analyses including MR-Egger Regression, Weighted Median Approach, and Leave-One-Out Cross-Validation.

Results: Among various microbial groups, nine showed significant statistical links. Specifically, Class Negativicutes (OR 5.68, 95% CI 2.13-15.16, p = 0.0005) and Order Selenomonadales (OR 5.68, 95% CI 2.13-15.16, p = 0.0005) were notably associated. These findings were consistent across different sensitivity analyses.

Conclusion: The relationship between gut microbiota and the adverse effects of narcotics and psychodysleptics is an emerging area of research. Our MR study identifies certain microbes that might influence the body's response to these substances. These insights could help in predicting and treating the effects of narcotics and psychodysleptics in the future.

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解密肠道微生物群失调与麻醉剂和精神失常药物中毒之间的因果关系：孟德尔随机分析。

背景：本研究采用孟德尔随机法（Mendelian randomization，MR）探讨了肠道微生物群与麻醉剂和精神镇静剂引起的中毒之间的联系：本研究调查了肠道微生物群与麻醉剂和精神镇静剂引起的中毒之间的联系，利用孟德尔随机化（Mendelian randomization，MR）来探索可能的因果关系：研究采用了孟德尔随机分析法，利用遗传变异作为工具变量，以促进稳健的因果推断。肠道微生物群的数据提取自 MiBioGen 研究，该研究整合了全基因组基因分型数据和 16S 粪便微生物群图谱。结果指标基于芬根研究。基因工具是根据严格的标准精心提取的，并与 "麻醉剂和精神镇静剂[致幻剂]中毒 "相关的 SNP 结果相协调。采用反方差加权（IVW）法进行磁共振分析，并辅以包括磁共振-Egger回归、加权中值法和一出一进交叉验证在内的敏感性分析：结果：在各种微生物群中，有 9 个微生物群显示出显著的统计学联系。结果：在不同的微生物组别中，有九个组别显示出显著的统计学联系，特别是负维菌类（OR 5.68，95% CI 2.13-15.16，p = 0.0005）和硒单胞菌目（OR 5.68，95% CI 2.13-15.16，p = 0.0005）明显相关。这些结果在不同的敏感性分析中是一致的：肠道微生物群与麻醉剂和精神镇静剂不良反应之间的关系是一个新兴的研究领域。我们的磁共振研究确定了可能影响人体对这些物质反应的某些微生物。这些见解有助于今后预测和治疗麻醉剂和精神镇静剂的影响。

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来源期刊

ACS Applied Energy Materials Materials Science-Materials Chemistry

CiteScore

10.30

自引率

6.20%

发文量

1368

期刊介绍： ACS Applied Energy Materials is an interdisciplinary journal publishing original research covering all aspects of materials, engineering, chemistry, physics and biology relevant to energy conversion and storage. The journal is devoted to reports of new and original experimental and theoretical research of an applied nature that integrate knowledge in the areas of materials, engineering, physics, bioscience, and chemistry into important energy applications.