Evidence map›Paper›PMID 31564204›Full record

ArticleGut microbes2020

Insights from pharmacokinetic models of host-microbiome drug metabolism.

Maria Zimmermann-Kogadeeva, Michael Zimmermann, Andrew L Goodman

Abstract read
In one paragraph

Article in Gut microbes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. Integrating the gut microbiome and pharmacology.Science translational medicine · 2024
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Recent advances in the ontogeny of drug disposition.British journal of clinical pharmacology · 2022
    Review
  17. Review
  18. Article
  19. Impact of Contaminants on Microbiota: Linking the Gut-Brain Axis with Neurotoxicity.International journal of environmental research and public health · 2022
    Review
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Maria Zimmermann-KogadeevaDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine , New Haven, CT, USA.ORCID 0000-0001-6021-1246
Michael ZimmermannDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine , New Haven, CT, USA.ORCID 0000-0002-5797-3589
Andrew L GoodmanDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine , New Haven, CT, USA.ORCID 0000-0001-7599-3471

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Causes and consequences of interpersonal microbial variationR35GM118159 · NIGMS · YALE UNIVERSITY · PI Andrew L Goodman · 2016 to 2026
$5.6M
Defining the contribution of interpersonal microbial variation to drug metabolismDP2GM105456 · NIGMS · YALE UNIVERSITY · PI GOODMAN, ANDREW L · 2012 to 2017
$3.0M
Howard Hughes Medical InstituteNCATS NIH HHS UL1 TR001863NIGMS NIH HHS DP2 GM105456NIGMS NIH HHS R35 GM118159
6 · The paper itself

Abstract

Increasing evidence suggests a role of the gut microbiota in patients' response to medicinal drugs. In our recent study, we combined genomics of human gut commensals and gnotobiotic animal experiments to quantify microbiota and host contributions to drug metabolism. Informed by experimental data, we built a physiology-based pharmacokinetic model of drug metabolism that includes intestinal compartments with microbiome drug-metabolizing activity. This model successfully predicted serum levels of metabolites of three different drugs, quantified microbial contribution to systemic drug metabolite exposure, and simulated the effect of different parameters on host and microbiota drug metabolism. In this addendum, we expand these simulations to assess the effect of microbiota on the systemic drug and metabolite levels under conditions of altered host physiology, microbiota drug-metabolizing activity or physico-chemical properties of drugs. This work illustrates how and under which circumstances the gut microbiome may influence drug pharmacokinetics, and discusses broader implications of expanded pharmacokinetic models.

Indexed as

Gastrointestinal MicrobiomePharmacokineticsAnimalsEnterohepatic CirculationGastrointestinal TractGerm-Free LifeHumansIntestinal AbsorptionMiceModels, AnimalPharmaceutical PreparationsPharmaceutical Preparationsdrug metabolismGut microbiotaphysiology-based pharmacokinetic modeling

Identifiers

PMID31564204
PMCPMC7524330

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.