Evidence map›Paper›PMID 30637938›Full record

ArticleMicrobial biotechnology2019

Minority species influences microbiota formation: the role of Bifidobacterium with extracellular glycosidases in bifidus flora formation in breastfed infant guts.

Aina Gotoh, Miriam Nozomi Ojima, Takane Katayama

Open access · goldAbstract read
In one paragraph

Article in Microbial biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

15 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Antibiotic-perturbed microbiota and the role of probiotics.Nature reviews. Gastroenterology & hepatology · 2025
    Review
  5. Journal of oral microbiology · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Review
  12. Roles of the Cell Surface Architecture ofFrontiers in microbiology · 2021
    Review
  13. Article
  14. Article
  15. 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

3 authors at 1 institution in 1 country.

Aina GotohGraduate School of Biostudies, Kyoto University, Sakyo-ku, Kyoto, 606-8502, Japan.
Miriam Nozomi OjimaGraduate School of Biostudies, Kyoto University, Sakyo-ku, Kyoto, 606-8502, Japan.ORCID 0000-0002-5173-208X
Takane KatayamaGraduate School of Biostudies, Kyoto University, Sakyo-ku, Kyoto, 606-8502, Japan.ORCID 0000-0003-4009-7874
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The human body houses a variety of microbial ecosystems, such as the microbiotas on the skin, in the oral cavity and in the digestive tract. The gut microbiota is one such ecosystem that contains trillions of bacteria, and it is well established that it can significantly influence host health and diseases. With the advancement in bioinformatics tools, numerous comparative studies based on 16S ribosomal RNA (rRNA) gene sequences, metabolomics, pathological and epidemical analyses have revealed the correlative relationship between the abundance of certain taxa and disease states or amount of certain causative bioactive compounds. However, the 16S rRNA-based taxonomic analyses using next-generation sequencing (NGS) technology essentially detect only the majority species. Although the entire gut microbiome consists of 10

Indexed as

Breast FeedingGastrointestinal MicrobiomeMicrobial InteractionsMicrobiotaBifidobacteriumGlucosidesGlycoside HydrolasesHumansInfantGlucosidesGlycoside Hydrolases

Identifiers

PMID30637938
PMCPMC6389856
OpenAlexW2910070529

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.