Evidence map›Paper›PMID 28638806›Full record

ArticleFrontiers in cellular and infection microbiology2017

Emma Hernandez-Sanabria, Vera Slomka, Esteban R Herrero, Frederiek-Maarten Kerckhof, Lynette Zaidel, Wim Teughels, Nico Boon

Abstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Microbial high throughput phenomics: The potential of an irreplaceable omics.Computational and structural biotechnology journal · 2020
    Review
  7. 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

7 authors.

Emma Hernandez-SanabriaCenter for Microbial Ecology and Technology, Ghent UniversityGhent, Belgium.
Vera SlomkaDepartment of Oral Health SciencesKU Leuven, Leuven, Belgium.
Esteban R HerreroDepartment of Oral Health SciencesKU Leuven, Leuven, Belgium.
Frederiek-Maarten KerckhofCenter for Microbial Ecology and Technology, Ghent UniversityGhent, Belgium.
Lynette ZaidelColgate-Palmolive Technology CenterPiscataway, NJ, United States.
Wim TeughelsDepartment of Oral Health SciencesKU Leuven, Leuven, Belgium.
Nico BoonCenter for Microbial Ecology and Technology, Ghent UniversityGhent, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the driving forces behind the shifts in the ecological balance of the oral microbiota will become essential for the future management and treatment of periodontitis. As the use of competitive approaches for modulating bacterial outgrowth is unexplored in the oral ecosystem, our study aimed to investigate both the associations among groups of functional compounds and the impact of individual substrates on selected members of the oral microbiome. We employed the Phenotype Microarray high-throughput technology to analyse the microbial cellular phenotypes of 15 oral bacteria. Multivariate statistical analysis was used to detect respiratory activity triggers and to assess similar metabolic activities. Carbon and nitrogen were relevant for the respiration of health-associated bacteria, explaining competitive interactions when grown in biofilms. Carbon, nitrogen, and peptides tended to decrease the respiratory activity of all pathobionts, but not significantly. None of the evaluated compounds significantly increased activity of pathobionts at both 24 and 48 h. Additionally, metabolite requirements of pathobionts were dissimilar, suggesting that collective modulation of their respiratory activity may be challenging. Flow cytometry indicated that the metabolic activity detected in the Biolog plates may not be a direct result of the number of bacterial cells. In addition, damage to the cell membrane may not influence overall respiratory activity. Our methodology confirmed previously reported competitive and collaborative interactions among bacterial groups, which could be used either as marker of health status or as targets for modulation of the oral environment.

Indexed as

BacteriaBacterial Physiological PhenomenaBiofilmsCarbonEcosystemHigh-Throughput Nucleotide SequencingHost-Pathogen InteractionsMicrobial InteractionsMicrobiotaMouthMultivariate AnalysisNitrogenPeptidesPhenotypeSymbiosisCarbonNitrogenPeptidescommensal bacteriahealth-associated bacteriamultivariate statistical analysisoral pathobiontsphenotype microarrayrespiratory activity

Identifiers

PMID28638806
PMCPMC5461333

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.