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The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Separating host and microbiome contributions to drug pharmacokinetics and toxicity

Open access
Zimmermann, Michael, Zimmermann-Kogadeeva, Maria, Wegmann, Rebekka, Goodman, Andrew L.·2019·Science

Abstract

Off-target drug metabolism: Anything humans swallow is exposed to the foraging and transforming activities of the gut microbiota. This applies to therapeutic drugs as well as food components and can be a major source of interpersonal variation in drug efficacy and toxicity. Zimmermann et al. found that individual drug responses depend on the genetics of an individual's microbiota. They explored the metabolism of nucleoside drugs (which are used as antivirals and antidepressants) in mice inoculated with a variety of mutant microbiota. They then modeled the pharmacokinetics in different body compartments and identified the host and microbe contributions. In some individuals, up to 70% of drug transformation can be ascribed to microbial metabolism. Science , this issue p. eaat9931

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Metadata

Authors
Zimmermann, M., Zimmermann-Kogadeeva, M., Wegmann, R., & Goodman, A. L.
Venue
Science
Published
2019-02-08
Volume
363
Issue
6427
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2914718086
Cited by
423
References
4
FWCI
49.17
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Separating host and microbiome contributions to drug pharmacokinetics and toxicity. https://app.cochat.ai/papers/10.1126/science.aat9931
The paper
Zimmermann, M., Zimmermann-Kogadeeva, M., Wegmann, R., & Goodman, A. L. (2019). Separating host and microbiome contributions to drug pharmacokinetics and toxicity. Science. https://doi.org/10.1126/science.aat9931

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.