Evidence map›Paper›PMID 37926855›Full record

ArticleMicrobiome2023

Gut microbiota response to in vitro transit time variation is mediated by microbial growth rates, nutrient use efficiency and adaptation to in vivo transit time.

Yorick Minnebo, Karen Delbaere, Valerie Goethals, Jeroen Raes, Tom Van de Wiele, Kim De Paepe

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
6.2field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Dissecting the Ecological Structure of Health and Disease in the Global Gut Microbiome.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  10. Gut microbes · 2025
    Article
  11. Article
  12. Endogenous Ethanol Metabolism and Development of MASLD-MASH.International journal of molecular sciences · 2025
    Review
  13. Article
  14. Article
  15. The role of the intestinal microbiome in cognitive decline in patients with kidney disease.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2025
    Review
  16. Article
  17. Article
  18. The interplay of gut microbiota and intestinal motility in gastrointestinal function.Journal of smooth muscle research = Nihon Heikatsukin Gakkai kikanshi · 2025
    Review
  19. Article
  20. Article
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

6 authors at 2 institutions in 1 country.

Yorick MinneboCenter for Microbial Ecology and Technology, Department of Biotechnology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium.
Karen DelbaereCenter for Microbial Ecology and Technology, Department of Biotechnology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium.
Valerie GoethalsCenter for Microbial Ecology and Technology, Department of Biotechnology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium.
Jeroen RaesLaboratory of Molecular Bacteriology, Department of Microbiology and Immunology, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
Tom Van de WieleCenter for Microbial Ecology and Technology, Department of Biotechnology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium. Tom.VandeWiele@UGent.be.
Kim De PaepeCenter for Microbial Ecology and Technology, Department of Biotechnology, Ghent University, Coupure Links 653, 9000, Ghent, Belgium. Kim.DePaepe@UGent.be.
Ghent University · BEVIB-KU Leuven Center for Microbiology · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransit time is an important modulator of the human gut microbiome. The inability to modify transit time as the sole variable hampers mechanistic in vivo microbiome research. We singled out gut transit time in an unprecedented in vitro approach by subjecting faecal microbial communities from six individuals with either short, medium or long in vivo transit times, to three different colonic transit times of 21, 32 and 63 h in the validated human gut in vitro model, SHIME.

resultsTransit time was identified as the single most important driver of microbial cell concentrations (52%), metabolic activity (45%) and quantitative (24%) and proportional (22%) community composition. Deceleration of transit was characterised by a significant decrease of specific Bifidobacterium and Veillonella spp. and increase of specific fibre degrading bacteria and nutrient specialists, such as Bacteroides, Prevotella, Ruminococcus, Bilophila and Akkermansia spp. These microbial communities reached a higher population density and net carbohydrate fermentation, leading to an increased SCFA production at longer transit times. In contrast, the carbohydrate-to-biomass production efficiency was increased at shorter transits, particularly in well-adapted faecal microbiomes from donors with short in vivo transit. Said adaptation was also reflected in the carbohydrate-to-SCFA conversion efficiency which varied with donor, but also colon region and SCFA chain length. A long transit time promoted propionate production, whereas butyrate production and butyrate producers were selectively enriched in the proximal colon at medium transit time.

conclusionMicrobial growth rates and nutrient utilisation efficiency mediate the species-specific gut microbiota response to in vitro transit time variation, which is the main driver of in vitro microbial load, metabolism and community composition. Given the in vivo transit time variation within and between individuals, the personalisation of in vitro transit time based on in vivo data is required to accurately study intra- and inter-individual differences in gut microbiome structure, functionality and interactions with host and environmental modulators. Video Abstract.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaButyratesCarbohydratesFecesFermentationHumansNutrientsButyratesCarbohydratesNutrientsGastrointestinal transitGut microbial ecologyGut residence timeGut retention timePersonalised gut microbiome researchQuantitative microbiome profilingSHIME in vitro gut simulator

Identifiers

PMID37926855
PMCPMC10626715
OpenAlexW4388400162

What OpenQuestion 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 OpenQuestion graph.