Evidence map›Paper›PMID 39776540›Full record

ArticleGut microbiome (Cambridge, England)2024

Seeding and feeding milestones: the role of human milk microbes and oligosaccharides in the temporal development of infant gut microbiota.

Martha F Endika, David J M Barnett, Cynthia E Klostermann, Noortje Kok, Henk A Schols, Arjen Nauta, Ilja C W Arts, John Penders, Koen Venema, Hauke Smidt

Abstract read
In one paragraph

Article in Gut microbiome (Cambridge, England), 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. Article
  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

10 authors.

Martha F EndikaLaboratory of Microbiology, Wageningen University & Research, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0003-1548-2404
David J M BarnettMaastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands.
Cynthia E KlostermannBiobased Chemistry and Technology, Wageningen University & Research, Wageningen, The Netherlands.
Noortje KokLaboratory of Microbiology, Wageningen University & Research, Wageningen, The Netherlands.
Henk A ScholsLaboratory of Food Chemistry, Wageningen University & Research, Wageningen, The Netherlands.
Arjen NautaFrieslandCampina, Amersfoort, The Netherlands.
Ilja C W ArtsMaastricht Centre for Systems Biology (MaCSBio), Maastricht University, Maastricht, The Netherlands.
John PendersDepartment of Medical Microbiology, Infectious Diseases and Infection Prevention, Maastricht University Medical Center+, Maastricht, The Netherlands.
Koen VenemaCentre for Healthy Eating & Food Innovation (HEFI), Maastricht University - campus Venlo, Venlo, The Netherlands.
Hauke SmidtLaboratory of Microbiology, Wageningen University & Research, Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Breastfeeding represents a strong selective factor for shaping the infant gut microbiota. Besides providing nutritional requirements for the infant, human milk is a key source of oligosaccharides, human milk oligosaccharides (HMOs), and diverse microbes in early life. This study aimed to evaluate the influence of human milk microbiota and oligosaccharides on the composition of infant faecal microbiota at one, three, and nine months postpartum. We profiled milk microbiota, HMOs, and infant faecal microbiota from 23 mother-infant pairs at these time points. The predominant genera in milk samples were

Indexed as

bacterial compositionbreastfeedingfaecesHMOmother–infant pairs

Identifiers

PMID39776540
PMCPMC11706684

What OpenQuestion holds

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LicenceCC BY
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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.