Evidence map›Paper›PMID 39830521›Full record

ArticleBiofilm2024

Large-scale screening identifies enzyme combinations that remove

Signe Maria Nielsen, Karina Kambourakis Johnsen, Lea Benedicte Skov Hansen, Pernille Dukanovic Rikvold, Andreas Møllebjerg, Lorena Gonzalez Palmén, Thomas Durhuus, Sebastian Schlafer, Rikke Louise Meyer

Abstract read
In one paragraph

Article in Biofilm, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
–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

6 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Review
  5. Article
  6. 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

9 authors.

Signe Maria NielsenInterdisciplinary Nanoscience Center (iNANO), Faculty of Natural Sciences, Aarhus University, Gustav Wieds Vej 14, 8000, Aarhus C, Denmark.
Karina Kambourakis JohnsenSection for Oral Ecology, Cariology, Department of Dentistry and Oral Health, Aarhus University, Vennelyst Boulevard 9, 8000, Aarhus C, Denmark.
Lea Benedicte Skov HansenNovonesis A/S, Biologiens Vej 2, 2800, Kgs. Lyngby, Denmark.
Pernille Dukanovic RikvoldSection for Oral Ecology, Cariology, Department of Dentistry and Oral Health, Aarhus University, Vennelyst Boulevard 9, 8000, Aarhus C, Denmark.
Andreas MøllebjergInterdisciplinary Nanoscience Center (iNANO), Faculty of Natural Sciences, Aarhus University, Gustav Wieds Vej 14, 8000, Aarhus C, Denmark.
Lorena Gonzalez PalménNovonesis A/S, Biologiens Vej 2, 2800, Kgs. Lyngby, Denmark.
Thomas DurhuusNovonesis A/S, Biologiens Vej 2, 2800, Kgs. Lyngby, Denmark.
Sebastian SchlaferSection for Oral Ecology, Cariology, Department of Dentistry and Oral Health, Aarhus University, Vennelyst Boulevard 9, 8000, Aarhus C, Denmark.
Rikke Louise MeyerInterdisciplinary Nanoscience Center (iNANO), Faculty of Natural Sciences, Aarhus University, Gustav Wieds Vej 14, 8000, Aarhus C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bacteria in the oral cavity are responsible for the development of dental diseases such as caries and periodontitis, but it is becoming increasingly clear that the oral microbiome also benefits human health. Many oral care products on the market are antimicrobial, killing a large part of the oral microbiome but without removing the disease-causing biofilm. Instead, non-biocidal matrix-degrading enzymes may be used to selectively remove biofilm without harming the overall microbiome. The challenge of using enzymes to degrade biofilms is to match the narrow specificity of enzymes with the large structural diversity of extracellular polymeric substances that hold the biofilm together. In this study, we therefore perform a large-scale screening of single and multi-enzyme formulations to identify combinations of enzymes that most effectively remove dental biofilm. We tested >400 different treatment modalities using 44 different enzymes in combinations with up to six enzymes in each formulation, on

Indexed as

Confocal microscopyDental biofilmDextranaseEnzyme treatmentGlucanaseMutanase

Identifiers

PMID39830521
PMCPMC11740801

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.