Evidence map›Paper›PMID 42769680›Full record

ArticlePediatric gastroenterology, hepatology & nutrition2026

New Insights into the Composition of the Early-Life Gut Microbiome: A Metagenomic Analysis of Fecal Samples in Children Up to 18 Months of Age.

Egija Zelca, Dita Gudra, Daiga Karklina, Maija Ustinova, Megija Lunge, Davids Fridmanis, Ingrida Rumba-Rozenfelde, Ilva Daugule

Abstract read
In one paragraph

Article in Pediatric gastroenterology, hepatology & nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Egija ZelcaDepartment of Family, Maternal and Child Health, The Faculty of Medicine and Life Sciences, University of Latvia, Riga, Latvia.ORCID https://orcid.org/0009-0009-0933-0122
Dita GudraDepartment of Molecular Ecology and Biosystmes, The National Research and Innovation Institute, Riga, Latvia.ORCID https://orcid.org/0000-0002-9446-4521
Daiga KarklinaDepartment of Family, Maternal and Child Health, The Faculty of Medicine and Life Sciences, University of Latvia, Riga, Latvia.ORCID https://orcid.org/0009-0003-2342-2708
Maija UstinovaDepartment of Molecular Ecology and Biosystmes, The National Research and Innovation Institute, Riga, Latvia.ORCID https://orcid.org/0000-0001-7882-397X
Megija LungeDepartment of Molecular Ecology and Biosystmes, The National Research and Innovation Institute, Riga, Latvia.ORCID https://orcid.org/0009-0001-5898-8926
Davids FridmanisDepartment of Molecular Ecology and Biosystmes, The National Research and Innovation Institute, Riga, Latvia.ORCID https://orcid.org/0000-0003-0310-0448
Ingrida Rumba-RozenfeldeDepartment of Family, Maternal and Child Health, The Faculty of Medicine and Life Sciences, University of Latvia, Riga, Latvia.ORCID https://orcid.org/0000-0002-5022-6281
Ilva DauguleDepartment of Family, Maternal and Child Health, The Faculty of Medicine and Life Sciences, University of Latvia, Riga, Latvia.ORCID https://orcid.org/0000-0003-1312-4988

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To determine the gut microbiome composition and associated factors in infants. Methods: Cross-sectional study was conducted in primary healthcare centers including healthy children up to 18 months of age. Parents of children answered a questionnaire and bring a fecal sample of their child. Fecal samples were analyzed using shotgun sequencing. The relative abundances of taxonomic profile were detected and compared with associated factors. Results: In the study were included 91 children. The most abundant taxonomic units belonged to phyla: Bacillota, Bacteroidota, Actinobacteria. In contrast, the most abundant species were Bifidobacterium longum and Bifidobacterium breve, demonstrating an age-appropriate microbial composition. The viral fraction mainly consisted of bacteriophages, with the most abundant viral family being Tospoviridae. Nevertheless, more than 50 rather new taxonomic entities were observed to cause shifts in the taxonomic units of the infant gut microbiome in association with perinatal antibacterial therapy, type of delivery, feeding type in the first 6 months of life. Higher relative abundance of Kitasatospora spp. MMS16 BH015 was associated with C-section and antibacterial treatment during delivery. A total of 302 antimicrobial resistance genes were identified, the most frequently encountered genes were associated with glycopeptide antibiotic resistance: vanG, vanT, vanW, vanY and adeF. The distribution of ARGs did not differ among different age groups. Conclusion: Metagenomic sequencing provides broader insights into the composition of the gut microbiome, emphasizing the presence of unusual species associated with environmental and perinatal factors. Perinatal antibacterial treatment may have a greater impact on the infant microbiome than was previously estimated.

Indexed as

AntibioticsBacteriophagesBifidobacteriumGastrointestinal microbiomeInfantsShotgun sequencing

Identifiers

PMID42769680
PMCPMC13591165

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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.