Evidence map›Paper›PMID 32560419›Full record

ArticleNutrients2020

In Vitro Fermentation of Sheep and Cow Milk Using Infant Fecal Bacteria.

Natalie Ahlborn, Wayne Young, Jane Mullaney, Linda M Samuelsson

Abstract read
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Natalie AhlbornAgResearch Ltd., Grasslands Research Centre, Palmerston North 4442, New Zealand.
Wayne YoungAgResearch Ltd., Grasslands Research Centre, Palmerston North 4442, New Zealand.
Jane MullaneyAgResearch Ltd., Grasslands Research Centre, Palmerston North 4442, New Zealand.
Linda M SamuelssonAgResearch Ltd., Grasslands Research Centre, Palmerston North 4442, New Zealand.ORCID 0000-0001-9153-2544

Funding

Amt für Ausbildungsförderung Internship scholarshipMinistry of Business, Innovation and Employment C10X1305
6 · The paper itself

Abstract

While human milk is the optimal food for infants, formulas that contain ruminant milk can have an important role where breastfeeding is not possible. In this regard, cow milk is most commonly used. However, recent years have brought interest in other ruminant milk. While many similarities exist between ruminant milk, there are likely enough compositional differences to promote different effects in the infant. This may include effects on different bacteria in the large bowel, leading to different metabolites in the gut. In this study sheep and cow milk were digested using an in vitro infant digestive model, followed by fecal fermentation using cultures inoculated with fecal material from two infants of one month and five months of age. The effects of the cow and sheep milk on the fecal microbiota, short-chain fatty acids (SCFA), and other metabolites were investigated. Significant differences in microbial, SCFA, and metabolite composition were observed between fermentation of sheep and cow milk using fecal inoculum from a one-month-old infant, but comparatively minimal differences using fecal inoculum from a five-month-old infant. These results show that sheep milk and cow milk can have differential effects on the gut microbiota, while demonstrating the individuality of the gut microbiome.

Indexed as

FermentationAge FactorsAnimalsCattleFecesGastrointestinal MicrobiomeHumansInfantIn Vitro TechniquesMagnetic Resonance ImagingMilkSheepbovine milkdigestibilityfecal fermentationinfant gut microbiomein vitro digestionmetabolomicsNMRovine milkshort-chain fatty acids

Identifiers

PMID32560419
PMCPMC7353214

What OpenQuestion holds

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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.