Evidence map›Paper›PMID 37399600›Full record

ArticleEBioMedicine2023

Sources of gut microbiota variation in a large longitudinal Finnish infant cohort.

Roosa Jokela, Alise J Ponsero, Evgenia Dikareva, Xiaodong Wei, Kaija-Leena Kolho, Katri Korpela, Willem M de Vos, Anne Salonen

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 37 citations in OpenAlex.

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  14. Response to Zahid and Rehman.Pediatric nephrology (Berlin, Germany) · 2025
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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

8 authors at 1 institution in 2 countries.

Roosa JokelaHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Alise J PonseroHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Evgenia DikarevaHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Xiaodong WeiHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Kaija-Leena KolhoChildren's Hospital, Paediatric Research Centre, University of Helsinki and HUS, Helsinki, Finland; Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.
Katri KorpelaHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Willem M de VosHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland; Laboratory of Microbiology, Wageningen University, Wageningen, the Netherlands.
Anne SalonenHuman Microbiome Research Program, Faculty of Medicine, University of Helsinki, Helsinki, Finland. Electronic address: anne.salonen@helsinki.fi.
University of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough the infant gut microbiota has been extensively studied, comprehensive assessment on the microbiota determinants including technical variables has not been performed in large infant cohorts.

methodsWe studied the effect of 109 variables on the 16S rRNA gene amplicon-based gut microbiota profiles of infants sampled longitudinally from three weeks to two years of life in the Finnish HELMi birth cohort. Spot faecal samples from both parents were included for intra-family analyses, totalling to 7657 samples from 985 families that were evaluated for beta-diversity patterns using permutational multivariate analysis on Bray-Curtis distances, and differential abundance testing and alpha-diversity for variables of interest. We also assessed the effect of different taxonomic levels and distance methods.

findingsIn time point-specific models, the largest share of variation explained, up to 2-6%, were seen in decreasing order for the DNA extraction batch, delivery mode and related perinatal exposures, defecation frequency and parity/siblings. Variables describing the infant gastrointestinal function were continuously important during the first two years, reflecting changes in e.g., feeding habits. The effect of parity/siblings on infant microbiota was modified by birth mode and exposure to intrapartum antibiotics, exemplifying the tight interlinkage of perinatal factors relevant for infant microbiota research. In total, up to 19% of the biological microbiota variation in the infant gut could be explained. Our results highlight the need to interpret variance partitioning results in the context of each cohort's characteristics and microbiota processing.

interpretationOur study provides a comprehensive report of key factors associated with infant gut microbiota composition across the two first years of life in a homogenous cohort. The study highlights possible important future research areas and confounding factors to be considered.

fundingThis research was supported by Business Finland, Academy of Finland, Foundation for Nutrition Research and the Doctoral Program in Microbiology and Biotechnology, University of Helsinki, Finland.

Indexed as

FecesGastrointestinal MicrobiomeRNA, Ribosomal, 16SBacteriaBiodiversityFemaleFinlandHumansInfantInfant, NewbornLongitudinal StudiesMaleRNA, Ribosomal, 16SBirth cohortInfant gut microbiotaParityStool consistencyTechnical confoundersVariance partitioning

Identifiers

PMID37399600
PMCPMC10328818
OpenAlexW4382877700

What OpenQuestion holds

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LicenceCC BY
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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.