Wang Ning, Su Zhenbo
Department of Anesthesiology, China-Japan Union Hospital of Jilin University, Changchun, China.
Department of Anesthesiology, Shanghai Ruijin Hospital, Shanghai, China.
Curr Neuropharmacol. 2024;23(2):187-195. doi: 10.2174/1570159X22999240729092453.
This study investigates the connection between gut microbiota and poisoning caused by narcotics and psychodysleptics, using Mendelian randomization (MR) to explore possible causal relationships.
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.
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.
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.
本研究调查肠道微生物群与麻醉药品和精神药品中毒之间的联系,采用孟德尔随机化方法探索可能的因果关系。
本研究采用孟德尔随机化分析,利用基因变异作为工具变量以促进可靠的因果推断。肠道微生物群的数据取自MiBioGen研究,将全基因组基因分型数据与16S粪便微生物群谱相结合。结果指标基于芬兰基因研究。根据严格标准精心提取基因工具,并与与“麻醉药品和精神药品(致幻剂)中毒”相关的单核苷酸多态性结果进行协调。采用逆方差加权法进行孟德尔随机化分析,并辅以敏感性分析,包括孟德尔埃格回归、加权中位数法和留一法交叉验证。
在各种微生物组中,有9种显示出显著的统计学联系。具体而言,Negativicutes菌纲(比值比5.68,95%置信区间2.13 - 15.16,p = 0.0005)和Selenomonadales目(比值比5.68,95%置信区间2.13 - 15.16,p = 0.0005)有显著关联。这些发现在不同的敏感性分析中是一致的。
肠道微生物群与麻醉药品和精神药品的不良反应之间的关系是一个新兴的研究领域。我们的孟德尔随机化研究确定了某些可能影响身体对这些物质反应的微生物。这些见解可能有助于未来预测和治疗麻醉药品和精神药品的作用。