Javascript must be enabled to continue!
A hidden confounder for microbiome studies: medications used years before sample collection
View through CrossRef
ABSTRACT
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.
IMPORTANCE
This 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.
American Society for Microbiology
Title: A hidden confounder for microbiome studies: medications used years before sample collection
Description:
ABSTRACT
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.
IMPORTANCE
This 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.
Related Results
Quantifying the impact of Human Leukocyte Antigen on the human gut microbiome
Quantifying the impact of Human Leukocyte Antigen on the human gut microbiome
AbstractObjectiveThe gut microbiome is affected by a number of factors, including the innate and adaptive immune system. The major histocompatibility complex (MHC), or the human le...
Interpolation of Microbiome Composition in Longitudinal Datasets
Interpolation of Microbiome Composition in Longitudinal Datasets
Abstract
The human gut microbiome significantly impacts health, prompting a rise in longitudinal studies that capture microbiome samples at multiple time points. Su...
The Future of Microbiome Medicine – An Editor’s Perspective
The Future of Microbiome Medicine – An Editor’s Perspective
The microbiome field continues to grow at an exponential rate with sophisticated approaches that are pushing the frontiers of science and translating fast into clinical practice. T...
Intratumoral Microbiome: Foe or Friend in Reshaping Tumor Microenvironment Landscape?
Intratumoral Microbiome: Foe or Friend in Reshaping Tumor Microenvironment Landscape?
The role of the microbiome in cancer and its crosstalk with the tumor microenvironment (TME) has been extensively studied and characterized. An emerging field in the cancer microbi...
Intratumoral Microbiome: Foe or Friend in Reshaping the Tumor Microenvironment Landscape?
Intratumoral Microbiome: Foe or Friend in Reshaping the Tumor Microenvironment Landscape?
The role of the microbiome in cancer and its crosstalk with the tumor microenvironment (TME) has been extensively studied and characterized. An emerging field in the cancer microbi...
The Regional Diversity of Gut Microbiome Along the GI Tract
The Regional Diversity of Gut Microbiome Along the GI Tract
Abstract
Background: The proliferation and survival of microbial organisms including intestinal microbes are determined by their surrounding environments. Contrary to popul...
Effect of early rearing conditions on the behaviour and microbiome of fish with low genetic diversity
Effect of early rearing conditions on the behaviour and microbiome of fish with low genetic diversity
Fish performance is influenced by their genotype and environment. For populations with low genetic diversity, adaptation to environmental change can be compromised, but it has been...
Fecal microbiome predicts treatment response after the initiation of semaglutide or empagliflozin uptake
Fecal microbiome predicts treatment response after the initiation of semaglutide or empagliflozin uptake
The gut microbiome has been shown to be affected by the use of many human-targeted medications, and the interaction can be bidirectional. This has been clearly demonstrated for typ...

