Evidence map›Paper›PMID 31134431›Full record

ArticleWorld journal of microbiology & biotechnology2019

A quantitative model of Bacillus cereus ATCC 9634 growth inhibition by bifidobacteria for synbiotic effect evaluation.

Boris A Karetkin, Elena V Guseva, Svetlana A Evdokimova, Anastasia S Mishchenko, Natalia V Khabibulina, Veronika D Grosheva, Natalia V Menshutina, Victor I Panfilov

Abstract read
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In one paragraph

Article in World journal of microbiology & biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. A Study and Modeling ofMicroorganisms · 2022
    Article
  4. Article
  5. 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.

Boris A KaretkinDepartment of Biotechnology, Faculty of Biotechnology and Industrial Ecology, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia. karetkin@muctr.ru.ORCID http://orcid.org/0000-0002-0976-9700
Elena V GusevaDepartment of Cybernetics of Chemical Engineering Processes, Faculty of Information Technologies and Management, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia.
Svetlana A EvdokimovaDepartment of Biotechnology, Faculty of Biotechnology and Industrial Ecology, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia.
Anastasia S MishchenkoDepartment of Cybernetics of Chemical Engineering Processes, Faculty of Information Technologies and Management, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia.
Natalia V KhabibulinaDepartment of Biotechnology, Faculty of Biotechnology and Industrial Ecology, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia.
Veronika D GroshevaDepartment of Biotechnology, Faculty of Biotechnology and Industrial Ecology, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia.
Natalia V MenshutinaDepartment of Cybernetics of Chemical Engineering Processes, Faculty of Information Technologies and Management, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia.
Victor I PanfilovDepartment of Biotechnology, Faculty of Biotechnology and Industrial Ecology, Dmitry Mendeleev University of Chemical Technology of Russia, Miusskaya Sq., 9, 125047, Moscow, Russia.

Funding

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

Abstract

The present study is dedicated to the development of novel criteria for assessing the synbiotic effect of prebiotic and probiotic composition against a specific pathogen. These criteria were obtained from the quantitative model of Bifidobacterium adolescentis ATCC 15703 and Bacillus cereus ATCC 9634 (as a model food contaminant) competition in co-culture fermentation. The model is based on the hypothesis that probiotics can reduce the specific growth rate of non-probiotics by producing short-chain fatty acids. To define the relationship between the specific growth rate of non-probiotics and short-chain fatty acid yields, the inhibition constants were determined separately for each inhibitor produced by bifidobacteria (lactic, acetic and propionic acids) in a pure culture of bacilli. Two different equations based on the minimum inhibitor concentration (MIC) and inhibition constant (K

Indexed as

SynbioticsAcetic AcidAntibiosisBacillus cereusBacteriocinsBifidobacteriumCoculture TechniquesFatty Acids, VolatileFermentationFood ContaminationHydrogen-Ion ConcentrationInulinKineticsLactic AcidMicrobial Sensitivity TestsPrebioticsAcetic AcidBacteriocinsFatty Acids, VolatileInulinLactic AcidPrebioticsPropionatesCompetition modelFood contaminantsInhibition constantsPrebioticsProbioticsSynbiotic effect

Identifiers

PMID31134431

What OpenQuestion holds

Textmetadata
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.