Evidence map›Paper›PMID 36245096›Full record

ArticleACS nano2022

Melimine-Modified 3D-Printed Polycaprolactone Scaffolds for the Prevention of Biofilm-Related Biomaterial Infections.

Silvia Cometta, Robert T Jones, Alfredo Juárez-Saldivar, Bogdan C Donose, Muhammad Yasir, Nathalie Bock, Tim R Dargaville, Karl Bertling, Michael Brünig, Aleksandar D Rakić and 2 more

Open access · hybridAbstract read
In one paragraph

Article in ACS nano, 2022. 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
2.1field-weighted citation impact, top 13% 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, 27 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

12 authors at 5 institutions in 2 countries.

Silvia ComettaFaculty of Engineering, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0001-8928-5337
Robert T JonesCentral Analytical Research Facility (CARF), Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-8653-0074
Alfredo Juárez-SaldivarUnidad Académica Multidisciplinaria Reynosa Aztlán, Universidad Autónoma de Tamaulipas, Reynosa 88740, Mexico.
Bogdan C DonoseSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0003-1935-9489
Muhammad YasirSchool of Optometry and Vision Science, University of New South Wales, Sydney, NSW 2033, Australia.
Nathalie BockAustralian Research Council Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing (M3D Innovation), Queensland University of Technology, Kelvin Grove, QLD 4059, Australia.
Tim R DargavilleCentre for Materials Science, School of Chemistry and Physics, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0003-4665-9508
Karl BertlingSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0003-1087-2315
Michael BrünigSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-2077-0315
Aleksandar D RakićSchool of Information Technology and Electrical Engineering, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-4615-2240
Mark WillcoxSchool of Optometry and Vision Science, University of New South Wales, Sydney, NSW 2033, Australia.ORCID 0000-0003-3842-7563
Dietmar W HutmacherFaculty of Engineering, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0001-5678-2134
Queensland University of Technology · AUTranslational Research Institute · AUUNSW Sydney · AUAustralian Research Council · AUAutonomous University of Tamaulipas · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomaterial-associated infections are one of the major causes of implant failure. These infections result from persistent bacteria that have adhered to the biomaterial surface before, during, or after surgery and have formed a biofilm on the implant's surface. It is estimated that 4 to 10% of implant surfaces are contaminated with bacteria; however, the infection rate can be as high as 30% in intensive care units in developed countries and as high as 45% in developing countries. To date, there is no clinical solution to prevent implant infection without relying on the use of high doses of antibiotics supplied systemically and/or removal of the infected device. In this study, melimine, a chimeric cationic peptide that has been tested in Phase I and II human clinical trials, was immobilized onto the surface of 3D-printed medical-grade polycaprolactone (mPCL) scaffolds via covalent binding and adsorption. X-ray photoelectron spectroscopy (XPS) and time-of-flight secondary ion mass spectrometry (ToF-SIMS) spectra of melimine-treated surfaces confirmed immobilization of the peptide, as well as its homogeneous distribution throughout the scaffold surface. Amino acid analysis showed that melimine covalent and noncovalent immobilization resulted in a peptide density of ∼156 and ∼533 ng/cm

Indexed as

Antimicrobial Cationic PeptidesPseudomonas aeruginosaAmino AcidsAnti-Bacterial AgentsBacteriaBiofilmsCarbodiimidesCoated Materials, BiocompatibleHumansPolyestersPrinting, Three-DimensionalAmino AcidsAnti-Bacterial AgentsAntimicrobial Cationic PeptidesCarbodiimidesCoated Materials, BiocompatiblemeliminepolycaprolactonePolyesters3D printingantimicrobial peptidebacterial infectionmeliminepolycaprolactonescaffold

Identifiers

PMID36245096
PMCPMC9620410
OpenAlexW4306376941

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.