Evidence map›Paper›PMID 41939241›Full record

ArticleGut microbes reports2026

Drug-microbiome interactions: What we know and why predictive translation remains elusive.

Fatima C Pereira, Sahar El Aidy

Abstract read
In one paragraph

Article in Gut microbes reports, 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

2 authors.

Fatima C PereiraSchool of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, Southampton, United Kingdom.ORCID https://orcid.org/0000-0002-1288-6481
Sahar El AidyDepartment of Microbiome Engineering, Swammerdam Institute for Life Sciences, University of Amsterdam, Amsterdam, The Netherlands.ORCID https://orcid.org/0000-0001-8950-4392

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medication-induced alterations of the gut microbiome influence drug efficacy, toxicity, and long-term outcomes. Despite extensive evidence for drug-microbe interactions, predictive translation into clinical practice remains limited. Generalization from shifts in taxonomic profiles, mechanistic studies or isolated enzymatic assays is challenging because microbial activity is highly context-dependent. Drug-microbiome interactions are shaped by host factors including pH, transit time, nutrient and cofactor availability, and spatial organization along the gastrointestinal tract. Here, we argue that predictive translation requires measuring functional outputs, site-specific activity, ecological interactions, and host-contextual modulation, rather than static microbial properties.

Indexed as

Drug–microbiome interactionsecological dynamicsfunctional readoutspharmacomicrobiomicsstratification

Identifiers

PMID41939241
PMCPMC13048560

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.