Evidence map›Paper›PMID 37491408›Full record

ArticleScientific reports2023

Assessment of infant outgrowth of cow's milk allergy in relation to the faecal microbiome and metaproteome.

Diana M Hendrickx, Ran An, Sjef Boeren, Sumanth K Mutte, PRESTO study team, Jolanda M Lambert, Clara Belzer

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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  6. Clinical Proteomics Applied to Food Allergy.Advances in experimental medicine and biology · 2026
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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

7 authors.

Diana M HendrickxLaboratory of Microbiology, Wageningen University, Wageningen, The Netherlands. diana.hendrickx@wur.nl.
Ran AnLaboratory of Microbiology, Wageningen University, Wageningen, The Netherlands.
Sjef BoerenLaboratory of Biochemistry, Wageningen University, Wageningen, The Netherlands.
Sumanth K MutteLaboratory of Biochemistry, Wageningen University, Wageningen, The Netherlands.
PRESTO study team
Jolanda M LambertDanone Nutricia Research, Utrecht, The Netherlands.
Clara BelzerLaboratory of Microbiology, Wageningen University, Wageningen, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies provide evidence for an association between modifications of the gut microbiota in early life and the development of food allergies. We studied the faecal microbiota composition (16S rRNA gene amplicon sequencing) and faecal microbiome functionality (metaproteomics) in a cohort of 40 infants diagnosed with cow's milk allergy (CMA) when entering the study. Some of the infants showed outgrowth of CMA after 12 months, while others did not. Faecal microbiota composition of infants was analysed directly after CMA diagnosis (baseline) as well as 6 and 12 months after entering the study. The aim was to gain insight on gut microbiome parameters in relation to outgrowth of CMA. The results of this study show that microbiome differences related to outgrowth of CMA can be mainly identified at the taxonomic level of the 16S rRNA gene, and to a lesser extent at the protein-based microbial taxonomy and functional protein level. At the 16S rRNA gene level outgrowth of CMA is characterized by lower relative abundance of Lachnospiraceae at baseline and lower Bacteroidaceae at visit 12 months.

Indexed as

Food HypersensitivityGastrointestinal MicrobiomeMilk HypersensitivityAnimalsCattleFecesFemaleRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID37491408
PMCPMC10368738

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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.