饮酒模式和性别调节乙醇消耗对小鼠肠道微生物群的影响。

IF 2.5 4区 生物学 Q3 CELL BIOLOGY
Physiological genomics Pub Date : 2025-03-01 Epub Date: 2025-02-07 DOI:10.1152/physiolgenomics.00031.2024
Carla Brigagão Pacheco da Silva, Edson Alexandre Nascimento-Silva, Lívia Soares Zaramela, Bruno Ruiz Brandão da Costa, Vanessa Fernandes Rodrigues, Bruno Spinosa De Martinis, Daniela Carlos, Rita C Tostes
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引用次数: 0

摘要

背景:肠道菌群影响宿主体内平衡和疾病。长期酗酒和酗酒的酒精摄入比单独酗酒和酗酒的酒精摄入更容易造成伤害。我们假设,肠道微生物群组成的不同形状是由慢性、暴饮暴食和这些治疗的关联引起的,从而影响宿主功能,并导致酒精使用障碍的性别差异。方法:对C57BL/6J小鼠进行慢性、暴食或慢性加暴食乙醇喂养。从粪便微生物群中提取DNA,分析16S rRNA基因的V3-V4区,并在Illumina平台上测序。使用QIIME v2022.2.0进行肠道微生物组分析。使用PICRUSt2对肠道微生物组进行功能分析。结果:乙醇对雌雄小鼠肠道菌群的影响存在差异。在慢性加暴饮组和慢性组的雄性和雌性小鼠中分别观察到α多样性的降低。Faecalibaculum, Lachnospiraceae和Alistipes属被认为是乙醇消耗引起的肠道生态失调的主要潜在生物标志物。此外,乙醇诱导的肠道生态失调改变了几种代谢途径。结论:乙醇的摄入改变了小鼠肠道微生物组的饮酒模式和性别依赖的方式,可能导致对乙醇相关疾病的不同易感性。在雄性小鼠中,慢性加暴饮乙醇摄入会引起更明显的肠道生态失调。相反,在雌性小鼠中,慢性乙醇与更大程度的肠道失调有关。改变的肠道微生物群可能有潜在的预防、减轻或治疗酒精使用障碍的目标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Drinking pattern and sex modulate the impact of ethanol consumption on the mouse gut microbiome.

Gut microbiota impacts host homeostasis and diseases. Chronic plus binge ethanol consumption has been linked to increased injuries than chronic or binge ethanol intake alone. We hypothesized that distinct shapes in gut microbiota composition are induced by chronic, binge, and the association of these treatments, thereby affecting host functions and contributing to sex-based differences in alcohol use disorders. Male and female C57BL/6J mice were submitted to chronic, binge, or chronic plus binge ethanol feeding. DNA was extracted from fecal microbiota, followed by analysis of the V3-V4 region of the 16S rRNA gene and sequencing on an Illumina platform. Gut microbiome analysis was performed using QIIME v2022.2.0. Functional profiling of the gut microbiome was performed using PICRUSt2. Ethanol differentially affected the gut microbiota of female and male mice. Decreased α diversity was observed in male and female mice from the chronic plus binge and chronic groups, respectively. The genera Faecalibaculum, Lachnospiraceae, and Alistipes were identified as major potential biomarkers for gut dysbiosis induced by ethanol consumption. In addition, ethanol-induced gut dysbiosis altered several metabolic pathways. Ethanol consumption modifies the mouse gut microbiome in a drinking pattern- and sex-dependent manner, potentially leading to different susceptibility to ethanol-related diseases. Chronic plus binge ethanol intake induces a more pronounced gut dysbiosis in male mice. Conversely, chronic ethanol is linked to a greater degree of gut dysbiosis in female mice. The changed gut microbiome may be potentially targeted to prevent, mitigate, or treat alcohol use disorders.NEW & NOTEWORTHY Ethanol alters the mouse gut microbiome in a drinking pattern- and sex-dependent manner. Chronic plus binge ethanol intake induces a more severe gut dysbiosis in male mice, whereas chronic ethanol consumption appears to be a more potent inductor of gut dysbiosis in female mice. Ethanol-induced gut dysbiosis alters several pathways linked to metabolism, genetic and environmental information processing, cellular processes, organism systems, and neurological human diseases.

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来源期刊
Physiological genomics
Physiological genomics 生物-生理学
CiteScore
6.10
自引率
0.00%
发文量
46
审稿时长
4-8 weeks
期刊介绍: The Physiological Genomics publishes original papers, reviews and rapid reports in a wide area of research focused on uncovering the links between genes and physiology at all levels of biological organization. Articles on topics ranging from single genes to the whole genome and their links to the physiology of humans, any model organism, organ, tissue or cell are welcome. Areas of interest include complex polygenic traits preferably of importance to human health and gene-function relationships of disease processes. Specifically, the Journal has dedicated Sections focused on genome-wide association studies (GWAS) to function, cardiovascular, renal, metabolic and neurological systems, exercise physiology, pharmacogenomics, clinical, translational and genomics for precision medicine, comparative and statistical genomics and databases. For further details on research themes covered within these Sections, please refer to the descriptions given under each Section.
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