Evidence map›Paper›PMID 41648142›Full record

ArticlebioRxiv : the preprint server for biology2026

Linking interpersonal differences in gut microbiota composition and drug biotransformation activity.

Eleonora Mastrorilli, Pamela Herd, Federico E Rey, Andrew L Goodman, Michael Zimmermann

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Eleonora MastrorilliMolecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-2127-4150
Pamela HerdFord School of Public Policy, University of Michigan-Ann Arbor, Ann Arbor, MI, USA.
Federico E ReyDepartment of Bacteriology, University of Wisconsin-Madison, Madison, WI, USA.ORCID 0000-0002-0239-7780
Andrew L GoodmanDepartment of Microbial Pathogenesis and Microbial Sciences Institute, Yale University School of Medicine, New Haven, CT, USA.
Michael ZimmermannMolecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0002-5797-3589

Funding

Wisconsin longitudinal study: Initial lifetime's impact on Alzheimer's disease and related disorders (WLS-ILIAD)R01AG060737 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Sanjay Asthana, Michal Engelman · 2018 to 2026
$56.8M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Causes and consequences of interpersonal microbial variationR35GM118159 · NIGMS · YALE UNIVERSITY · PI Andrew L Goodman · 2016 to 2026
$5.6M
Understanding the contributions of microbiome-encoded drug metabolizing enzymesR01AT010014 · NCCIH · YALE UNIVERSITY · PI GOODMAN, ANDREW L · 2019 to 2023
$2.1M
NCCIH NIH HHS R01 AT010014NIA NIH HHS P30 AG017266NIA NIH HHS R01 AG060737NIGMS NIH HHS R35 GM118159
6 · The paper itself

Abstract

Individuals vary widely in their responses to drugs, and growing evidence implicates the gut microbiome as a contributor to this variability. While prior studies show that gut bacteria can metabolize drugs, how differences in microbial community composition influence drug metabolism remains poorly understood. Here, we characterize the biotransformation of 271 drugs by 89 gut microbial communities derived from human donors and preclinical animal models. Over 90% of tested drugs were metabolized by at least one microbiome. We identified 66 drugs exhibiting highly variable metabolism across human-derived microbiomes and several drugs whose biotransformation differed markedly between human and animal microbiomes. To enable prediction of microbiota-mediated drug metabolism, we developed and compared multiple modeling approaches based on metagenomic data. These results, together with the provided data and analytical resources contribute to a better understanding of microbiome-drug interactions and support their future integration into drug discovery, personalized prescription, and therapeutic drug monitoring.

Indexed as

Drug metabolismgut microbiomemetabolomicsmetagenomicspersonalized medicinepreclinical animal modelspredictive modelling

Identifiers

PMID41648142
PMCPMC12871589

What OpenQuestion holds

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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.