Evidence map›Paper›PMID 38030736›Full record

Observational studyDiabetologia2024

Effects of maternal type 1 diabetes and confounding factors on neonatal microbiomes.

Marzena Gajecka, Pawel Gutaj, Katarzyna Jaskiewicz, Malgorzata Rydzanicz, Tomasz Szczapa, Dorota Kaminska, Grzegorz Kosewski, Juliusz Przyslawski, Rafal Ploski, Ewa Wender-Ozegowska

Open access · hybridAbstract readObservational Study
PubMed Full text at PMC Publisher
In one paragraph

Observational study in Diabetologia, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 26% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
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

10 authors at 3 institutions in 1 country.

Marzena Gajecka *Chair and Department of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland. gamar@man.poznan.pl.ORCID 0000-0001-7468-2604
Pawel Gutaj *Department of Reproduction, Poznan University of Medical Sciences, Poznan, Poland.ORCID 0000-0003-2885-9792
Katarzyna Jaskiewicz *Institute of Human Genetics, Polish Academy of Sciences, Poznan, Poland.ORCID 0000-0002-6380-5119
Malgorzata RydzaniczDepartment of Medical Genetics, Medical University of Warsaw, Warsaw, Poland.ORCID 0000-0002-6969-0535
Tomasz SzczapaDepartment of Neonatology, Poznan University of Medical Sciences, Poznan, Poland.ORCID 0000-0002-5214-2719
Dorota KaminskaChair and Department of Genetics and Pharmaceutical Microbiology, Poznan University of Medical Sciences, Poznan, Poland.ORCID 0000-0001-5934-1115
Grzegorz KosewskiChair and Department of Bromatology, Poznan University of Medical Sciences, Poznan, Poland.ORCID 0000-0002-6380-7704
Juliusz PrzyslawskiChair and Department of Bromatology, Poznan University of Medical Sciences, Poznan, Poland.ORCID 0000-0001-9205-2817
Rafal PloskiDepartment of Medical Genetics, Medical University of Warsaw, Warsaw, Poland.ORCID 0000-0001-6286-5526
Ewa Wender-OzegowskaDepartment of Reproduction, Poznan University of Medical Sciences, Poznan, Poland.ORCID 0000-0002-5492-8651
Poznan University of Medical Sciences · PLMedical University of Warsaw · PLInstitute of Human Genetics · PL

Funding

Polish Diabetes Association Professor Artur Czyżyk' Scientific Grant 2015Polish Diabetes Association Professor Artur Czyżyk' Scientific Grant 2017Poznan Supercomputing and Networking Center PSNC-534Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu 502-01-01110142-05618Uniwersytet Medyczny im. Karola Marcinkowskiego w Poznaniu 502-14-03301402-09911
6 · The paper itself

Abstract

aims/hypothesisBody niche-specific microbiota in maternal-neonatal dyads from gravidae with type 1 diabetes have not been quantitatively and functionally examined. Similarly, the impact of pregnancy-specific factors, such as the presence of comorbidities known to occur more frequently among gravidae with type 1 diabetes, including Caesarean delivery, as well as antibiotic prophylaxis, level of glycaemic control during each trimester of pregnancy and insulin administration, has not been adequately considered. The aims of this study were to characterise the maternal and neonatal microbiomes, assess aspects of microbiota transfer from the maternal microbiomes to the neonatal microbiome and explore the impact of type 1 diabetes and confounding factors on the microbiomes.

methodsIn this observational case-control study, we characterised microbiome community composition and function using 16S rRNA amplicon sequencing in a total of 514 vaginal, rectal and ear-skin swabs and stool samples derived from 92 maternal-neonatal dyads (including 50 gravidae with type 1 diabetes) and in-depth clinical metadata from throughout pregnancy and delivery.

resultsType 1 diabetes-specific microbiota were identified among gravidae with type 1 diabetes and their neonates. Neonatal microbiome profiles of ear-skin swabs and stool samples were established, indicating the taxa more prevalent among neonates born to mothers with type 1 diabetes compared with neonates born to control mothers. Without taking into account the type 1 diabetes status of mothers, both delivery mode and intrapartum antibiotic prophylaxis were found to have an influence on neonatal microbiota composition (both p=0.001). In the logistic regression analysis involving all confounding variables, neonatal ear-skin microbiome variation was explained by maternal type 1 diabetes status (p=0.020) and small for gestational age birthweight (p=0.050). Moreover, in women with type 1 diabetes, a relationship was found between HbA CONCLUSIONS/

interpretationThese findings indicate that, in addition to maternal type 1 diabetes, glycaemic dysregulation before/in the first trimester of pregnancy, mode of delivery and intrapartum antibiotic prophylaxis may contribute to the inoculation and formation of the neonatal microbiomes. DATA AVAILABILITY: The BioProject (PRJNA961636) and associated SRA metadata are available at http://www.ncbi.nlm.nih.gov/bioproject/961636 . Processed data on probiotic supplementation and the PICRUSt analysis are available in the Mendeley Data Repository ( https://doi.org/10.17632/g68rwnnrfk.1 ).

Indexed as

Diabetes Mellitus, Type 1MicrobiotaCase-Control StudiesFemaleHumansInfant, NewbornPhylogenyPregnancyRNA, Ribosomal, 16SRNA, Ribosomal, 16SHbA1cMaternal reproductive tract microbiomeMicrobiomeMicrobiota transferNeonatal microbiomeType 1 diabetes

Identifiers

PMID38030736
PMCPMC10789840
OpenAlexW4389127255

What OpenQuestion holds

Textmetadata
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.