在一项针对大量饮酒平民的唑尼沙胺临床试验中,基线肠道微生物组和代谢物与饮酒量相关

Liv R. Dedon, Hanshu Yuan, Jinhua Chi, Haiwei Gu, Albert J. Arias, Jonathan M. Covault, Yanjiao Zhou
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摘要

在动物和人体研究中,酒精使用障碍(AUD)的发展和严重程度与肠道微生物群及其相关代谢物的变化有关。然而,肠道微生物群对正在接受治疗的酒精使用障碍患者的饮酒量的影响仍不清楚。为了解决这个问题,我们在对 AUD 患者进行的唑尼沙胺多点双盲安慰剂对照试验中,在筛查(基线)和试验结束时从一个试验点收集了粪便样本(48 份)。在 16 周试验期的基线和终点测量了酒精消耗量、γ-谷氨酰转移酶(GGT)和磷脂酰乙醇(PEth)水平。粪便微生物组通过 16S rRNA 测序进行分析,代谢组通过非靶向 LC-MS 进行分析。性别(p = 0.003)和精神药物使用情况(p = 0.025)都与基线微生物组组成有关。基线时 12 个菌属的相对丰度与减少饮酒百分比、基线和终点酒精消耗量以及治疗过程中 GGT 和 PeTH 的变化相关(p.adj < 0.05)。基线微生物群落的整体结构在高应答者和低应答者之间存在差异(分别为饮酒减少 67%-100% 和 0-33%;p = 0.03)。通过微生物组功能预测确定了基线粪便 GABA 水平与饮酒减少百分比之间的正相关关系(R=0.43,p < 0.05),并通过 ELISA 和代谢组学得到了证实。预测的微生物组功能和代谢组学分析发现,色氨酸代谢途径在低反应者中比例过高。这些发现凸显了接受唑尼沙胺治疗的 AUD 患者基线微生物组和代谢物对酒精消耗的重要性。
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Baseline gut microbiome and metabolites are correlated with alcohol consumption in a zonisamide clinical trial of heavy drinking alcoholic civilians
Development and severity of alcohol use disorder (AUD) has been linked to variations in gut microbiota and their associated metabolites in both animal and human studies. However, the involvement of the gut microbiome in alcohol consumption of individuals with AUD undergoing treatment remains unclear. To address this, stool samples (n=48) were collected at screening (baseline) and trial completion from a single site of a multi-site double-blind, placebo-controlled trial of Zonisamide in individuals with AUD. Alcohol consumption, gamma-glutamyl transferase (GGT), and phosphatidylethanol (PEth)levels were measured both at baseline and endpoint of 16-week trial period. Fecal microbiome was analyzed via 16S rRNA sequencing and metabolome via untargeted LC-MS. Both sex (p = 0.003) and psychotropic medication usage (p = 0.025) are associated with baseline microbiome composition. The relative abundance of 12 genera at baseline was correlated with percent drinking reduction, baseline and endpoint alcohol consumption, and changes in GGT and PeTH over the course of treatment (p.adj < 0.05). Overall microbiome community structure at baseline differed between high and low responders (67-100% and 0-33% drinking reduction, respectively; p = 0.03). A positive relationship between baseline fecal GABA levels and percent drinking reduction (R=0.43, p < 0.05) was identified by microbiome function prediction and confirmed by ELISA and metabolomics. Predicted microbiome function and metabolomics analysis have found that tryptophan metabolic pathways are over-represented in low responders. These findings highlight importance of baseline microbiome and metabolites in alcohol consumption in AUD patients undergoing zonisamide treatment.
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