Evidence map›Paper›PMID 35495704›Full record

ArticleFrontiers in microbiology2022

Development of an

Abdelaziz El Houari, Florine Ecale, Anne Mercier, Stéphanie Crapart, Jérôme Laparre, Baptiste Soulard, Manilduth Ramnath, Jean-Marc Berjeaud, Marie-Hélène Rodier, Alexandre Crépin

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.9field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Microbiota and kidney disease: the road ahead.Nature reviews. Nephrology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Review
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  12. Review
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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

10 authors at 4 institutions in 1 country.

Abdelaziz El HouariUMR CNRS 7267, Laboratoire Ecologie and Biologie des Interactions, Université de Poitiers, Poitiers, France.
Florine EcaleUMR CNRS 7267, Laboratoire Ecologie and Biologie des Interactions, Université de Poitiers, Poitiers, France.
Anne MercierUMR CNRS 7267, Laboratoire Ecologie and Biologie des Interactions, Université de Poitiers, Poitiers, France.
Stéphanie CrapartUMR CNRS 7267, Laboratoire Ecologie and Biologie des Interactions, Université de Poitiers, Poitiers, France.
Jérôme LaparreEurofins Discovery, Celle-Lévescault, France.
Baptiste SoulardEurofins Discovery, Celle-Lévescault, France.
Manilduth RamnathEurofins Discovery, Celle-Lévescault, France.
Jean-Marc BerjeaudUMR CNRS 7267, Laboratoire Ecologie and Biologie des Interactions, Université de Poitiers, Poitiers, France.
Marie-Hélène RodierUMR CNRS 7267, Laboratoire Ecologie and Biologie des Interactions, Université de Poitiers, Poitiers, France.
Alexandre CrépinUMR CNRS 7267, Laboratoire Ecologie and Biologie des Interactions, Université de Poitiers, Poitiers, France.
Centre National de la Recherche Scientifique · FREurofins (France) · FRÉcologie et Biologie des Interactions · FRUniversité de Poitiers · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Altering the gut microbiota can negatively affect human health. Efforts may be sustained to predict the intended or unintended effects of molecules not naturally produced or expected to be present within the organism on the gut microbiota. Here, culture-dependent and DNA-based approaches were combined to UHPLC-MS/MS analyses in order to investigate the reciprocal interactions between a constructed Human Gut Microbiota Model (HGMM) and molecules including antibiotics, drugs, and xenobiotics. Our HGMM was composed of strains from the five phyla commonly described in human gut microbiota and belonging to

Indexed as

antibioticsdrugshuman gut microbiota modelsequencingUHPLC-MS/MSxenobiotics

Identifiers

PMID35495704
PMCPMC9042397
OpenAlexW4223656051

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.