Evidence map›Paper›PMID 21965394›Full record

ArticleApplied and environmental microbiology2011

Mother-to-child transmission of and multiple-strain colonization by Bacteroides fragilis in a cohort of mothers and their children.

G A Bjerke, R Wilson, O Storrø, T Øyen, R Johnsen, K Rudi

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Lessons from the model gut BacteroidalesJournal of bacteriology · 2025
    Review
  2. Article
  3. Article
  4. Review
  5. Gut SymbiontmBio · 2017
    Article
  6. Article
  7. Article
  8. 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

6 authors.

G A BjerkeHedmark University College, Hamar, Norway.
R Wilson
O Storrø
T Øyen
R Johnsen
K Rudi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteroides fragilis represents an early infant colonizer with important host interactions. Our knowledge about the diversity, transmission, and persistence of this bacterium, however, is limited. Here, we addressed these questions using a combination of multilocus sequence typing (MLST) and variable-number tandem repeat (VNTR) sequence analyses. We used both culture-dependent and -independent typing. We genotyped B. fragilis in fecal samples from a cohort of 93 mothers and their children, with samples taken from the mothers and from the children at the ages 1 to 10 days, 4 months, 1 year, and 2 years. By MLST we found two main B. fragilis groups, which we denoted clades A and B. Direct typing of stool samples using the icd gene revealed seven sequence types, five within clade A and two within clade B. A single clade A sequence type, however, represented 79% of all the sequences. This sequence type was further subtyped using VNTR. VNTR subtyping revealed 16 different VNTR types. Based on the distribution patterns of these, we show mother-to-child transmission and multiple-strain colonization. We argue that negative host selection promotes the coexistence of multiple strains. The significance of our findings is that we have started unraveling the transmission and persistence patterns of one of the most important human gut colonizers.

Indexed as

Infectious Disease Transmission, VerticalAdultBacterial ProteinsBacteroides fragilisBacteroides InfectionsChildCluster AnalysisCohort StudiesDNA, BacterialFecesGenotypeHumansMinisatellite RepeatsMolecular Sequence DataMothersMultilocus Sequence TypingBacterial ProteinsDNA, Bacterial

Identifiers

PMID21965394
PMCPMC3233040

What OpenQuestion holds

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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.