Evidence map›Paper›PMID 38399640›Full record

ArticleMicroorganisms2024

M-Batches to Simulate Luminal and Mucosal Human Gut Microbial Ecosystems: A Case Study of the Effects of Coffee and Green Tea.

Elizabeth Goya-Jorge, Irma Gonza, Caroline Douny, Marie-Louise Scippo, Véronique Delcenserie

Abstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

5 authors.

Elizabeth Goya-JorgeLaboratory of Food Quality Management, Department of Food Sciences, FARAH-Veterinary Public Health, University of Liège, B43b, 4000 Liège, Belgium.ORCID 0000-0003-0515-989X
Irma GonzaLaboratory of Food Quality Management, Department of Food Sciences, FARAH-Veterinary Public Health, University of Liège, B43b, 4000 Liège, Belgium.ORCID 0000-0003-0076-3473
Caroline DounyLaboratory of Food Analysis, Department of Food Sciences, FARAH-Veterinary Public Health, University of Liège, B43b, 4000 Liège, Belgium.ORCID 0000-0002-4162-1589
Marie-Louise ScippoLaboratory of Food Analysis, Department of Food Sciences, FARAH-Veterinary Public Health, University of Liège, B43b, 4000 Liège, Belgium.ORCID 0000-0002-8463-3264
Véronique DelcenserieLaboratory of Food Quality Management, Department of Food Sciences, FARAH-Veterinary Public Health, University of Liège, B43b, 4000 Liège, Belgium.

Funding

University of Liège Grant FSR 2023: décision du CSRV - Sc. Santé
6 · The paper itself

Abstract

Gastrointestinal simulations in vitro have only limited approaches to analyze the microbial communities inhabiting the mucosal compartment. Understanding and differentiating gut microbial ecosystems is crucial for a more comprehensive and accurate representation of the gut microbiome and its interactions with the host. Herein is suggested, in a short-term and static set-up (named "M-batches"), the analysis of mucosal and luminal populations of inhabitants of the human colon. After varying several parameters, such as the fermentation volume and the fecal inoculum (single or pool), only minor differences in microbial composition and metabolic production were identified. However, the pool created with feces from five donors and cultivated in a smaller volume (300 mL) seemed to provide a more stable luminal ecosystem. The study of commercially available coffee and green tea in the M-batches suggested some positive effects of these worldwide known beverages, including the increase in butyrate-producing bacteria and lactobacilli populations. We hope that this novel strategy can contribute to future advances in the study of intestinal ecosystems and host-microbe relationships and help elucidate roles of the microbiome in health and disease.

Indexed as

batch fermentationgut microbeshuman colonintestinal microbiotamucosa

Identifiers

PMID38399640
PMCPMC10891782

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.