微生物组研究的一个隐藏的干扰因素:在样本收集前几年使用的药物。

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-05 DOI:10.1128/msystems.00541-25
Oliver Aasmets, Nele Taba, Kertu Liis Krigul, Reidar Andreson, Elin Org
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引用次数: 0

摘要

药物使用是已知的肠道微生物组个体间差异的一个因素。然而,药物经常被反复使用,而且时间很长,这一概念在微生物组研究中尚未得到解释。最近,我们和其他人表明,不仅在采样时使用抗生素和抗抑郁药,而且过去的消费也与肠道微生物群有关。这种效应可以是“累加性的”——一种药物使用得越多,对微生物群的影响就越强。在这里,通过利用来自电子健康记录的回顾性药物使用数据和观察性爱沙尼亚微生物组队列霰弹枪宏基因组数据集(n = 2509),我们系统地评估了抗生素和人类靶向药物对肠道微生物组的长期影响。我们表明,过去的药物使用与肠道微生物群有关。例如,抗生素、抗精神病药、抗抑郁药、质子泵抑制剂和β受体阻滞剂的作用在使用几年后可以检测到。此外,通过分析具有第二个微生物组特征的亚队列(n = 328),我们发现在治疗开始或停止后,肠道微生物组也发生了类似的变化,这可能表明因果关系。这是第一个使用电子健康记录中详细的回顾性药物使用数据来系统评估药物使用对肠道微生物群的长期影响的研究。我们确定了一系列抗生素和非抗生素药物(如苯二氮卓类衍生物、抗抑郁药和糖皮质激素等)对肠道微生物群的结转和附加效应。这些发现强调了不同药物类别对肠道微生物组的附带影响,这证明在评估疾病-微生物组关联时需要考虑长期用药史。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A hidden confounder for microbiome studies: medications used years before sample collection.

Medication usage is a known contributor to the inter-individual variability of the gut microbiome. However, medications are often used repeatedly and for long periods, a notion yet unaccounted for in microbiome studies. Recently, we and others showed that not only the usage of antibiotics and antidepressants at sampling, but also past consumption, is associated with the gut microbiome. This effect can be "additive"-the more a medication is used, the stronger the impact on the microbiome. Here, by utilizing retrospective medication usage data from the electronic health records and the observational Estonian microbiome cohort shotgun metagenomics data set (n = 2,509), we systematically evaluate the long-term effects of antibiotics and human-targeted medications on the gut microbiome. We show that past usage of medications is associated with the gut microbiome. For example, the effects of antibiotics, psycholeptics, antidepressants, proton pump inhibitors, and beta-blockers are detectable several years after use. Furthermore, by analyzing a subcohort (n = 328) with a second microbiome characterization, we show that similar changes in the gut microbiome occur after treatment initiation or discontinuation, possibly indicating causal effects.IMPORTANCEThis is the first study using detailed retrospective medication usage data from electronic health records to systematically assess the long-term effects of medication usage on the gut microbiome. We identified carryover and additive effects on the gut microbiome for a range of antibiotics and non-antibiotic medications, such as benzodiazepine derivatives, antidepressants and glucocorticoids, among others. These findings highlight a collateral effect of diverse drug classes on the gut microbiome, which warrants accounting for long-term medication usage history when assessing disease-microbiome associations.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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