Evidence map›Paper›PMID 27200263›Full record

ArticleBioscience of microbiota, food and health2016

A comparative study of bifidobacteria in human babies and adults.

Shadi Khonsari, Mayuran Suganthy, Beata Burczynska, Vu Dang, Manika Choudhury, Azra Pachenari

Abstract read
In one paragraph

Article in Bioscience of microbiota, food and health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. A synbiotic mixture ofFrontiers in nutrition · 2024
    Article
  2. Microbiome research reports · 2023
    Review
  3. ProbioticInternational journal of molecular sciences · 2022
    Article
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. Differential Establishment of Bifidobacteria in the Breastfed Infant Gut.Nestle Nutrition Institute workshop series · 2017
    Review
  11. 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.

Shadi KhonsariSchool of Science and Technology, Middlesex University, Town Hall The Burroughs, Hendon, London NW4 4BT, UK.
Mayuran SuganthySchool of Science and Technology, Middlesex University, Town Hall The Burroughs, Hendon, London NW4 4BT, UK.
Beata BurczynskaSchool of Science and Technology, Middlesex University, Town Hall The Burroughs, Hendon, London NW4 4BT, UK.
Vu DangSchool of Science and Technology, Middlesex University, Town Hall The Burroughs, Hendon, London NW4 4BT, UK.
Manika ChoudhurySchool of Science and Technology, Middlesex University, Town Hall The Burroughs, Hendon, London NW4 4BT, UK.
Azra PachenariSchool of Science and Technology, Middlesex University, Town Hall The Burroughs, Hendon, London NW4 4BT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The composition and diversity of the gut microbiota are known to be different between babies and adults. The aim of this project was to compare the level of bifidobacteria between babies and adults and to investigate the influence of lifestyle factors on the level of this bacterium in the gut. During this study, the levels of bifidobacteria in 10 human babies below 2 years of age were compared with that of 10 human adults above 40 years. The level of bifidobacteria proved to be significantly higher in babies in comparison with adults. This investigation concluded that a combination of several factors, such as age, diet, and BMI, has an important effect on the level of bifidobacteria in adults, while in babies, a combination of diet and age may influence the level of intestinal bifidobacteria.

Indexed as

agebifidobacteriagut microbiota

Identifiers

PMID27200263
PMCPMC4858883

What OpenQuestion holds

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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.