Evidence map›Paper›PMID 38735967›Full record

ArticleGut pathogens2024

The gut microbiome, resistome, and mycobiome in preterm newborn infants and mouse pups: lack of lasting effects by antimicrobial therapy or probiotic prophylaxis.

Elizabeth Y Yuu, Christoph Bührer, Tim Eckmanns, Marcus Fulde, Michaela Herz, Oliver Kurzai, Christin Lindstedt, Gianni Panagiotou, Vitor C Piro, Aleksandar Radonic and 8 more

Abstract read
In one paragraph

Article in Gut pathogens, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Article
  7. 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

18 authors.

Elizabeth Y YuuData Analytics & Computational Statistics, Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Straße 2-3, 14482 , Potsdam, Germany.
Christoph BührerCharité - Universitätsmedizin, Berlin, Germany.
Tim EckmannsRobert Koch Institute, Berlin, Germany.
Marcus FuldeDepartment of Mathematics and Computer Science, Freie Universität Berlin, 14195, Berlin, Germany.
Michaela HerzInstitute for Hygiene and Microbiology, University of Würzburg, Würzburg, Germany.
Oliver KurzaiInstitute for Hygiene and Microbiology, University of Würzburg, Würzburg, Germany.
Christin LindstedtCharité - Universitätsmedizin, Berlin, Germany.
Gianni PanagiotouDepartment of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, 07745 , Jena, Germany.
Vitor C PiroData Analytics & Computational Statistics, Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Straße 2-3, 14482 , Potsdam, Germany.
Aleksandar RadonicRobert Koch Institute, Berlin, Germany.
Bernhard Y RenardData Analytics & Computational Statistics, Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Straße 2-3, 14482 , Potsdam, Germany.
Annicka ReussRobert Koch Institute, Berlin, Germany.
Sara Leal SiliceoDepartment of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Institute, Beutenbergstraße 11A, 07745 , Jena, Germany.
Nadja ThielemannInstitute for Hygiene and Microbiology, University of Würzburg, Würzburg, Germany.
Andrea ThürmerRobert Koch Institute, Berlin, Germany.
Kira van VorstDepartment of Mathematics and Computer Science, Freie Universität Berlin, 14195, Berlin, Germany.
Lothar H WielerData Analytics & Computational Statistics, Hasso Plattner Institute, University of Potsdam, Prof.-Dr.-Helmert-Straße 2-3, 14482 , Potsdam, Germany.
Sebastian HallerRobert Koch Institute, Berlin, Germany. HallerS@rki.de.

Funding

Bundesministerium für Bildung und Forschung Project NeoBIOM - 03ZZ0829AHORIZON EUROPE Marie Sklodowska-Curie Actions H2020-MSCA-ITN-2018Innovative Training Networks 813781 "BestTreat"
6 · The paper itself

Abstract

backgroundEnhancing our understanding of the underlying influences of medical interventions on the microbiome, resistome and mycobiome of preterm born infants holds significant potential for advancing infection prevention and treatment strategies. We conducted a prospective quasi-intervention study to better understand how antibiotics, and probiotics, and other medical factors influence the gut development of preterm infants. A controlled neonatal mice model was conducted in parallel, designed to closely reflect and predict exposures. Preterm infants and neonatal mice were stratified into four groups: antibiotics only, probiotics only, antibiotics followed by probiotics, and none of these interventions. Stool samples from both preterm infants and neonatal mice were collected at varying time points and analyzed by 16 S rRNA amplicon sequencing, ITS amplicon sequencing and whole genome shotgun sequencing.

resultsThe human infant microbiomes showed an unexpectedly high degree of heterogeneity. Little impact from medical exposure (antibiotics/probiotics) was observed on the strain patterns, however, Bifidobacterium bifidum was found more abundant after exposure to probiotics, regardless of prior antibiotic administration. Twenty-seven antibiotic resistant genes were identified in the resistome. High intra-variability was evident within the different treatment groups. Lastly, we found significant effects of antibiotics and probiotics on the mycobiome but not on the microbiome and resistome of preterm infants.

conclusionsAlthough our analyses showed transient effects, these results provide positive motivation to continue the research on the effects of medical interventions on the microbiome, resistome and mycobiome of preterm infants.

Indexed as

AntibioticsInfloranMice modelMicrobiomeMycobiomePreterm infantsResistome

Identifiers

PMID38735967
PMCPMC11089716

What OpenQuestion holds

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Registered trials

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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.