Evidence map›Paper›PMID 35630373›Full record

ArticleMicroorganisms2022

A Study and Modeling of

Svetlana A Evdokimova, Boris A Karetkin, Elena V Guseva, Maria G Gordienko, Natalia V Khabibulina, Victor I Panfilov, Natalia V Menshutina, Nina B Gradova

Abstract read
In one paragraph

Article in Microorganisms, 2022. 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. Review
  2. Review
  3. Toward the Next Generation of In Silico Modeling of Dynamic Host-Microbiota Interactions in the Skin.JID innovations : skin science from molecules to population health · 2025
    Review
  4. Proteomic Analysis ofFoods (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Fermenting Acerola (Foods (Basel, Switzerland) · 2024
    Article
  7. Article
  8. 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

8 authors.

Svetlana A EvdokimovaBiotechnology Department, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.
Boris A KaretkinBiotechnology Department, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.ORCID 0000-0002-0976-9700
Elena V GusevaDepartment of Chemical and Pharmaceutical Engineering, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.
Maria G GordienkoDepartment of Chemical and Pharmaceutical Engineering, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.
Natalia V KhabibulinaBiotechnology Department, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.
Victor I PanfilovBiotechnology Department, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.
Natalia V MenshutinaDepartment of Chemical and Pharmaceutical Engineering, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.
Nina B GradovaBiotechnology Department, Mendeleev University of Chemical Technology, 125047 Moscow, Russia.

Funding

Russian Science Foundation 17-79-20365
6 · The paper itself

Abstract

The diversity and the stability of the microbial community are associated with microecological interactions between its members. Antagonism is one type of interaction, which particularly determines the benefits that probiotics bring to host health by suppressing opportunistic pathogens and microbial contaminants in food. Mathematical models allow for quantitatively predicting intrapopulation relationships. The aim of this study was to create predictive models for bacterial contamination outcomes depending on the probiotic antagonism and prebiotic concentration. This should allow an improvement in the screening of synbiotic composition for preventing gut microbial infections. The functional model (fermentation) was based on a three-stage continuous system, and the distal colon section (N

Indexed as

Bacillus cereusBifidobacterium adolescentiscomputational biologycontinuous coculture fermentationfoodborne pathogensgrowth inhibition modeloligofructoseprebioticsprobiotics

Identifiers

PMID35630373
PMCPMC9147766

What OpenQuestion holds

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LicenceCC BY
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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.