Evidence map›Paper›PMID 37741851›Full record

ArticleScientific reports2023

Key topographic parameters driving surface adhesion of Porphyromonas gingivalis.

Steve Papa, Mathieu Maalouf, Pierre Claudel, Xxx Sedao, Yoan Di Maio, Hind Hamzeh-Cognasse, Mireille Thomas, Alain Guignandon, Virginie Dumas

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. 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
2.5field-weighted citation impact, top 11% of its field
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, 12 citations in OpenAlex.

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  4. Review
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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 at 2 institutions in 1 country.

Steve PapaINSERM, SAINBIOSE U1059, Mines Saint-Etienne, Université Jean Monnet Saint-Étienne, 42023, Saint-Étienne, France. steve.papa@univ-st-etienne.fr.
Mathieu MaaloufINSERM, SAINBIOSE U1059, Mines Saint-Etienne, Université Jean Monnet Saint-Étienne, 42023, Saint-Étienne, France.
Pierre ClaudelGIE Manutech-USD, 20 Rue Benoît Lauras, 42000, Saint-Étienne, France.
Xxx SedaoGIE Manutech-USD, 20 Rue Benoît Lauras, 42000, Saint-Étienne, France.
Yoan Di MaioGIE Manutech-USD, 20 Rue Benoît Lauras, 42000, Saint-Étienne, France.
Hind Hamzeh-CognasseINSERM, SAINBIOSE U1059, Mines Saint-Etienne, Université Jean Monnet Saint-Étienne, 42023, Saint-Étienne, France.
Mireille ThomasINSERM, SAINBIOSE U1059, Mines Saint-Etienne, Université Jean Monnet Saint-Étienne, 42023, Saint-Étienne, France.
Alain GuignandonINSERM, SAINBIOSE U1059, Mines Saint-Etienne, Université Jean Monnet Saint-Étienne, 42023, Saint-Étienne, France.
Virginie DumasEcole Centrale de Lyon, CNRS, ENTPE, LTDS, UMR5513, ENISE, Univ Lyon, 42023, Saint-Étienne, France.
Inserm · FRUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dental implant failure is primarily due to peri-implantitis, a consequence of bacterial biofilm formation. Bacterial adhesion is strongly linked to micro-/nano-topographies of a surface; thus an assessment of surface texture parameters is essential to understand bacterial adhesion. In this study, mirror polished titanium samples (Ti6Al4V) were irradiated with a femtosecond laser (fs-L) at a wavelength of 1030 nm (infrared) with variable laser parameters (laser beam polarization, number, spacing and organization of the impacts). Images of 3-D topographies were obtained by focal variation microscopy and analyzed with MountainsMap software to measure surface parameters. From bacteria associated with peri-implantitis, we selected Porphyromonas gingivalis to evaluate its adhesion on Ti6Al4V surfaces in an in vitro study. Correlations between various surface parameters and P. gingivalis adhesion were investigated. We discovered that Sa value, a common measure of surface roughness, was not sufficient in describing the complexity of these fs-L treated surfaces and their bacterial interaction. We found that Sku, density and mean depths of the furrows, were the most accurate parameters for this purpose. These results provide important information that could help anticipate the bacterial adhesive properties of a surface based on its topographic parameters, thus the development of promising laser designed biofunctional implants.

Indexed as

Dental ImplantsPeri-ImplantitisAlloysBacterial AdhesionBiofilmsHumansPorphyromonas gingivalisSurface PropertiesTissue AdhesionsTitaniumAlloysDental ImplantsTitaniumtitanium alloy (TiAl6V4)

Identifiers

PMID37741851
PMCPMC10518006
OpenAlexW4386980926

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.