Evidence map›Paper›PMID 37504707›Full record

ArticleJournal of fungi (Basel, Switzerland)2023

Delivery Mode and Perinatal Antibiotics Influence the Infant Gut Bacteriome and Mycobiome: A Network Analysis.

Mysore V Tejesvi, Jenni Turunen, Sonja Salmi, Justus Reunanen, Niko Paalanne, Terhi Tapiainen

Open access · goldAbstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Gut Mycobiome and Asthma.Journal of fungi (Basel, Switzerland) · 2024
    Review
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

6 authors at 2 institutions in 1 country.

Mysore V TejesviResearch Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland.
Jenni TurunenResearch Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland.ORCID 0000-0002-4158-7026
Sonja SalmiBiocenter Oulu, University of Oulu, 90014 Oulu, Finland.ORCID 0000-0002-0111-6211
Justus ReunanenBiocenter Oulu, University of Oulu, 90014 Oulu, Finland.
Niko PaalanneResearch Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland.
Terhi TapiainenResearch Unit of Clinical Medicine, University of Oulu, 90014 Oulu, Finland.ORCID 0000-0001-5433-4207
University of Oulu · FIOulu University Hospital · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Both exposure to antibiotics at birth and delivery via Caesarean section influence the gut bacteriome's development in infants. Using 16S rRNA and internal transcribed spacer sequencing on the Ion Torrent platform, we employed network analysis to investigate the bacterial and fungal interkingdom relationships in the gut microbiome from birth to age 18 months in a prospective cohort study of 140 infants. The gut microbiome at ages six and 18 months revealed distinctive microbial interactions, including both positive and negative associations between bacterial and fungal genera in the gut ecosystem. Perinatal factors, delivery mode and intrapartum antibiotic exposure affected the associations between bacterial and fungal species. In infants exposed and unexposed to perinatal antibiotics, the gut microbiome formed distinct networks for the bacteriome and mycobiome. The fungi

Indexed as

16S rRNAbacteriomedelivery modeinternal transcribed spacer regionintrapartum antibioticsmycobiomenetwork analysis

Identifiers

PMID37504707
PMCPMC10381809
OpenAlexW4382940767

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.