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Xenobiotics Shape the Physiology and Gene Expression of the Active Human Gut Microbiome
Open accessAbstract
The human gut contains trillions of microorganisms that influence our health by metabolizing xenobiotics, including host-targeted drugs and antibiotics. Recent efforts have characterized the diversity of this host-associated community, but it remains unclear which microorganisms are active and what perturbations influence this activity. Here, we combine flow cytometry, 16S rRNA gene sequencing, and metatranscriptomics to demonstrate that the gut contains a distinctive set of active microorganisms, primarily Firmicutes. Short-term exposure to a panel of xenobiotics significantly affected the physiology, structure, and gene expression of this active gut microbiome. Xenobiotic-responsive genes were found across multiple bacterial phyla, encoding antibiotic resistance, drug metabolism, and stress response pathways. These results demonstrate the power of moving beyond surveys of microbial diversity to better understand metabolic activity, highlight the unintended consequences of xenobiotics, and suggest that attempts at personalized medicine should consider interindividual variations in the active human gut microbiome.
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“The impact of short-term exposure of human feces to various non-antibiotic drugs including cardiac glycosides, a gastric-acid suppressant (nizatidine), an anthelmintic (levamisole), an analgesic (phenacetin), and sulfasalazine, significantly changed the expression of microbial genes linked to drug import and metabolism (Maurice et al., 2013).”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Maurice et al., 2013
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“Exposure in incubation experiments to a panel of hosttargeted drugs, including digoxin and sulfasalazine, induces subtle changes in community structure, but more marked changes in the genes expressed by the gut microbiome, including those genes involved in xenobiotic metabolism (Maurice et al., 2013).”
From Gut reactions: Breaking down xenobiotic–microbiome interactions (2019) · cites this paper as Maurice et al., 2013
In the citing paper
“One of the major functions of the gut microbiota is metabolism of dietary components leading to the generation of active metabolites that directly regulate human physiology including gut barrier function.21”
From Regulation of Intestinal Barrier Function by Microbial Metabolites (2021) · cites this paper as [21]
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Metadata
- Authors
- Maurice, C. F., Haiser, H. J., & Turnbaugh, P. J.
- Affiliations
- Harvard University (US)
- Corresponding author
- Turnbaugh, Peter James
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2013-01
- Volume
- 152
- Issue
- 1-2
- Pages
- 39-50
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC3552296
- OpenAlex
- W2063856799
- Cited by
- 811
- References
- 68
- Citations by year
- 2026: 22 · 2025: 37 · 2024: 48 · 2023: 42 · 2022: 51 · 2021: 75 · 2020: 79 · 2019: 69 · 2018: 100 · 2017: 62 · 2016: 66 · 2015: 60 · 2014: 58 · 2013: 42
- FWCI
- 33.55
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Canadian Institutes of Health Research (112991_1)
- National Institute of General Medical Sciences (P50GM068763)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Keywords
- gut microbiota, xenobiotics, Firmicutes, antibiotic resistance, drug metabolism, stress response, microbial gene expression, metatranscriptomics, 16S rRNA gene sequencing, flow cytometry, personalized medicine, interindividual variability
- MeSH terms
- Anti-Bacterial Agents, Feces, Gram-Positive Bacteria, Humans, Xenobiotics, Gene Expression Profiling, Gastrointestinal Tract, Metagenome, Metagenomics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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