Evidence map›Paper›PMID 41509039›Full record

ArticleJournal of oral microbiology2026

Influence of dental implant surfaces on oral biofilms and host immune response.

Jon J Vernon, El Mostafa Raïf, Jensen Aw, Ed Attenborough, Animesh Jha, Thuy Do

Abstract read
In one paragraph

Article in Journal of oral microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Jon J VernonDivision of Oral Biology, School of Dentistry, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-0072-9294
El Mostafa RaïfDivision of Oral Biology, School of Dentistry, University of Leeds, Leeds, UK.
Jensen AwAttenborough Dental Laboratories Ltd., Nottingham, UK.
Ed AttenboroughAttenborough Dental Laboratories Ltd., Nottingham, UK.
Animesh JhaSchool of Chemical and Process Engineering, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0003-3150-5645
Thuy DoDivision of Oral Biology, School of Dentistry, University of Leeds, Leeds, UK.ORCID https://orcid.org/0000-0002-5668-2181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Peri-implantitis, driven by microbial‒host immune interactions, is the leading reason that dental implants fail. Implant surface design plays a crucial role in microbial colonization. Objective: To investigate how surface characteristics of implant materials impact periodontal disease biofilm formation and host immune response. Design: Biofilms, cultured on Ti-6Al-4V and CoCr disks, had biomass quantified by crystal violet and microbial populations by agar enumeration. We assessed the influence of Ti-6Al-4V post-processing treatments on surface chemistry (energy dispersive spectroscopy), topography (optical profilometry) and microbial dynamics (through complex oral biofilm culture and 16S rRNA sequencing). To evaluate immune responses, biofilms were co-cultured with dysplastic oral keratinocytes, and IL-6, IL-8, IL-1β, TNFα and GRO- Results: Sandblasting markedly increased surface roughness (3.9 vs 0.2-0.6 R Conclusions: Surface roughness influenced biofilm formation and inflammation. Assessment of implant materials should integrate microbial and cellular responses for deeper insights. Smoother surfaces, combined with antimicrobial coatings may help reduce peri-implant disease.

Indexed as

antimicrobialbiofilmimmune responseinfectionmaterial scienceOral microbiologyperi-implantitis

Identifiers

PMID41509039
PMCPMC12777868

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.