Evidence map›Paper›PMID 31366076›Full record

ArticleMaterials (Basel, Switzerland)2019

Dental Implants with Anti-Biofilm Properties: A Pilot Study for Developing a New Sericin-Based Coating.

Paolo Ghensi, Elia Bettio, Devid Maniglio, Emiliana Bonomi, Federico Piccoli, Silvia Gross, Patrizio Caciagli, Nicola Segata, Giandomenico Nollo, Francesco Tessarolo

Open access · goldAbstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.8field-weighted citation impact, top 7% 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

15 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Metabolic Conditions and Peri-Implantitis.Antibiotics (Basel, Switzerland) · 2022
    Review
  9. Article
  10. Counter-ActingPolymers · 2021
    Article
  11. Article
  12. Review
  13. Article
  14. Review
  15. 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

10 authors at 2 institutions in 1 country.

Paolo GhensiDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38122 Trento, Italy. paolo.ghensi@unitn.it.ORCID 0000-0002-8444-0489
Elia BettioDepartment of Industrial Engineering, University of Trento, 38122 Trento, Italy.
Devid ManiglioDepartment of Industrial Engineering, University of Trento, 38122 Trento, Italy.ORCID 0000-0002-1653-861X
Emiliana BonomiDepartment of Industrial Engineering, University of Trento, 38122 Trento, Italy.
Federico PiccoliDepartment of Laboratory Medicine, Azienda Provinciale per i Servizi Sanitari, 38122 Trento, Italy.
Silvia GrossDepartment of Chemical Sciences, University of Padova, 35131 Padova, Italy.
Patrizio CaciagliDepartment of Laboratory Medicine, Azienda Provinciale per i Servizi Sanitari, 38122 Trento, Italy.
Nicola SegataDepartment of Cellular, Computational and Integrative Biology, University of Trento, 38122 Trento, Italy.
Giandomenico NolloDepartment of Industrial Engineering, University of Trento, 38122 Trento, Italy.
Francesco TessaroloDepartment of Industrial Engineering, University of Trento, 38122 Trento, Italy.ORCID 0000-0003-4022-5602
University of Trento · ITUniversity of Padua · IT

Funding

SIdP (Italian Society of Periodontology and Implantology) Prot. 24/2015
6 · The paper itself

Abstract

aimseveral strategies have been tested in recent years to prevent bacterial colonization of dental implants. Sericin, one of the two main silk proteins, possesses relevant biological activities and also literature reports about its potential antibacterial properties, but results are discordant and not yet definitive. The aim of this study was to evaluate the effectiveness of different experimental protocols in order to obtain a sericin-based coating on medical grade titanium (Ti) able to reduce microbial adhesion to the dental implant surface. MATERIALS AND

methodsdifferent strategies for covalent bonding of sericin to Ti were pursued throughout a multi-step procedure on Ti-6Al-4V disks. The surface of grade 5 Ti was initially immersed in NaOH solution to obtain the exposure of functional -OH groups. Two different silanization strategies were then tested using aminopropyltriethoxysilane (APTES). Eventually, the bonding between silanized Ti-6Al-4V and sericin was obtained with two different crosslinking processes: glutaraldehyde (GLU) or carbodiimide/N-Hydroxy-succinimide (EDC/NHS). Micro-morphological and compositional analyses were performed on the samples at each intermediate step to assess the most effective coating strategy able to optimize the silanization and bioconjugation processes. Microbiological tests on the coated Ti-6Al-4V disks were conducted in vitro using a standard biofilm producer strain of

resultsboth silanization techniques resulted in a significant increase of silicon (Si) on the Ti-6Al-4V surfaces etched with NaOH. Differences were found between GLU and EDC/NHS bioconjugation strategies in terms of composition, surface micro-morphology and anti-biofilm efficacy. Ti-6Al-4V samples coated with GLU-bound sericin after silanization obtained via vapor phase deposition proved that this technique is the most convenient and effective coating strategy, resulting in a bacterial inhibition of about 53% in respect to the uncoated Ti-6Al-4V disks.

conclusionsThe coating with glutaraldehyde-bound sericin after silanization in the vapor phase showed promising bacterial inhibition values with a significant reduction of

Indexed as

bioconjugationbiofilmcoatingdental implantsTi-6Al-4Vtitanium (Ti)

Identifiers

PMID31366076
PMCPMC6695694
OpenAlexW2965836403

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.