Evidence map›Paper›PMID 42539467›Full record

ArticleFrontiers in immunology2026

Niche-driven microbial architecture in mothers and newborns with minimal cohort influence across anatomically distinct sites.

Norbert Dera, Natalia Żeber-Lubecka, Joanna Ziemska-Legiecka, Magdalena Piątkowska, Aneta Balabas, Michał Ciebiera, Diana Massalska, Katarzyna Kosińska-Kaczyńska, Jerzy Ostrowski, Katarzyna Bubień and 3 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

13 authors.

Norbert DeraDepartment of Obstetrics, Perinatology and Neonatology, Center of Postgraduate Medical Education, Warsaw, Poland.
Natalia Żeber-LubeckaDepartment of Gastroenterology, Hepatology and Clinical Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Joanna Ziemska-LegieckaDepartment of Gastroenterology, Hepatology and Clinical Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Magdalena PiątkowskaDepartment of Experimental Oncology, Laboratory of Cancer Metabolism, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Aneta BalabasDepartment of Experimental Oncology, Laboratory of Cancer Metabolism, Maria Sklodowska-Curie National Research Institute of Oncology, Warsaw, Poland.
Michał CiebieraWarsaw Institute of Women's Health, Warsaw, Poland.
Diana MassalskaWarsaw Institute of Women's Health, Warsaw, Poland.
Katarzyna Kosińska-KaczyńskaDepartment of Obstetrics, Perinatology and Neonatology, Center of Postgraduate Medical Education, Warsaw, Poland.
Jerzy OstrowskiDepartment of Gastroenterology, Hepatology and Clinical Oncology, Centre of Postgraduate Medical Education, Warsaw, Poland.
Katarzyna BubieńDepartment of Obstetrics, Perinatology and Neonatology, Center of Postgraduate Medical Education, Warsaw, Poland.
Tomasz KozeraWarsaw Institute of Women's Health, Warsaw, Poland.
Kacper DeraDepartment of Pediatric Cardiology and General Pediatrics, Medical University of Warsaw, Warsaw, Poland.
Iwona SzymusikDepartment of Obstetrics, Perinatology and Neonatology, Center of Postgraduate Medical Education, Warsaw, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The microbiota plays a crucial role in the functioning of the human body. Several theories have been proposed regarding the origin of the uterine microbiota, including both ascending pathways from the vagina and translocation from the gastrointestinal tract. Numerous studies suggest that, in preterm births, amniotic fluid may contain microbial DNA or signals associated with microorganisms ascending from the vagina, even in the presence of intact fetal membranes, as well as by microbes originating from the placental microbiome. Background: The aim of this study was to comprehensively characterize the maternal and neonatal microbiome across multiple anatomically and biologically distinct niches and to determine the extent to which the structure of microbial communities reflects (i) anatomical location, (ii) maternal-infant relationships, and (iii) cohort-related perinatal factors. Methods: The study included eight women who delivered between 34 + 0 and 36 + 6 weeks of gestation, along with their neonates. The control group consisted of eight women who delivered at ≥37 + 0 weeks of gestation and their neonates. Prior to delivery, a cervical swab, an oral (buccal) swab, and a stool sample were collected. After delivery, the following samples were obtained from the neonate: a skin swab, a sample of amniotic fluid aspirated from the stomach, a rectal swab, and placental tissue. To assess microbiota composition, microbiome profiling based on 16S rRNA gene sequencing was performed. Results: The analysis did not demonstrate significant differences in microbiota composition between late preterm and term pregnancies, in either mothers or neonates. Conclusion: Comparative analysis of maternal and neonatal microbiota suggests a possible association with microbial signals consistent with an ascending vaginal contribution; however, without a detectable influence on neonatal microbiota. Conversely, the findings may indicate a potential association with maternal microbiota consistent with a hematogenous contribution, however, no direct evidence of microbial colonization or transmission can be inferred.

Indexed as

BacteriaMicrobiotaAdultAmniotic FluidFemaleHumansInfant, NewbornMothersPlacentaPregnancyRNA, Ribosomal, 16SVaginaRNA, Ribosomal, 16Sfetusmicrobiotanewbornpregnancytransmission

Identifiers

PMID42539467
PMCPMC13423660

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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.