Evidence map›Paper›PMID 42216984›Full record

ArticleApplied microbiology and biotechnology2026

Development of a gut microbiota model for the analysis of bacterial modifications of xenobiotics.

Natalie Hager, Jan-Lorenz Weyers, Laura Falk, Maike Passon, Marie-Christine Simon, Waldemar Seel, Jean-Lou Christian Michel Dorne, Uwe Deppenmeier

Abstract read
In one paragraph

Article in Applied microbiology and biotechnology, 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

8 authors.

Natalie HagerInstitute of Microbiology and Biotechnology, University of Bonn, Meckenheimer Allee 168, 53115, Bonn, Germany.
Jan-Lorenz WeyersInstitute of Microbiology and Biotechnology, University of Bonn, Meckenheimer Allee 168, 53115, Bonn, Germany.
Laura FalkInstitute for Food Chemistry, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115, Bonn, Germany.
Maike PassonInstitute for Food Chemistry, University of Bonn, Friedrich-Hirzebruch-Allee 7, 53115, Bonn, Germany.
Marie-Christine SimonInstitute for Nutrition and Microbiota, University of Bonn, Katzenburgweg 7, 53115, Bonn, Germany.
Waldemar SeelInstitute for Nutrition and Microbiota, University of Bonn, Katzenburgweg 7, 53115, Bonn, Germany.
Jean-Lou Christian Michel DorneMethodology and Scientific Support Unit, European Food Safety Authority (EFSA), Via Carlo Magno 1A, 43126, Parma, Italy.
Uwe DeppenmeierInstitute of Microbiology and Biotechnology, University of Bonn, Meckenheimer Allee 168, 53115, Bonn, Germany. udeppen@unibonn.de.

Funding

European Food Safety Authority OC/EFSA/MESE/2022/04
6 · The paper itself

Abstract

The human gut microbiota influences host physiology by metabolizing xenobiotics, such as drugs, dietary additives, and environmental contaminants. To enable standardized assessment of microbial xenobiotic metabolism, we established a defined bacterial colon model from pooled human fecal samples, by preparing clean bacterial cell suspensions using density gradient centrifugation. The bacterial cell fraction remained structurally intact, allowing long-term preservation at -70 °C with glycerol as a cryoprotectant. The bacteria were fully reactivated without compromising cellular integrity. Glycerol as a disturbing substrate was removed by washing steps. The system preserved microbial diversity, enzymatic activity, and metabolic functionality over 24 h under anaerobic conditions. Unlike fecal-based models, the model was free from non-cellular contaminants, which could cause unpredictable interactions between test compounds and reactive components within the fecal matrix. Enzymatic assays demonstrated hydrolytic, reductive, and proteolytic activities comparable to native feces. 16S rRNA gene sequencing confirmed taxonomic stability and compositional shifts in response to different substrates. A fiber-rich substrate proved to be optimal for maintaining the bacterial composition over 24 h. We further applied the model to investigate the microbial biotransformation of selected model xenobiotics using high-performance liquid chromatography and mass spectrometry, capturing substrate-specific conversion patterns and formation of expected primary products. A versatile addition of food ingredients, dietary supplements, pharmaceuticals, and environmental chemicals is possible to analyze their effects on the composition of the microbiota, its enzymatic activity, and the excretion of metabolites and end products. Together, this bacterial colon model provides a reproducible, high-throughput capable and ethically viable platform for pharmaco microbiomic studies and next-generation risk assessment. KEY POINTS: A novel bacterial colon model preserves human gut microbial diversity and activity. Fiber-rich substrates restore enzymatic function and SCFA production. The model enables standardized screening of microbial xenobiotic metabolism.

Indexed as

BacteriaGastrointestinal MicrobiomeXenobioticsBiotransformationColonFecesHumansModels, BiologicalRNA, Ribosomal, 16SRNA, Ribosomal, 16SXenobioticsDrug metabolismGut microbiotaIn vitro colon modelPhysiologically based kinetic modeling (PBK)ToxicomicrobiomicsXenobiotics

Identifiers

PMID42216984
PMCPMC13222238

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.