Evidence map›Paper›PMID 26577984›Full record

ReviewActa biomaterialia2016

Engineering serendipity: High-throughput discovery of materials that resist bacterial attachment.

E P Magennis, A L Hook, M C Davies, C Alexander, P Williams, M R Alexander

Abstract readReview
In one paragraph

Review in Acta biomaterialia, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Comparative Evaluation ofVision (Basel, Switzerland) · 2023
    Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Review
  11. Article
  12. Article
  13. 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.

E P MagennisLaboratory of Biophysics and Surface Analysis, School of Pharmacy, University of Nottingham, Nottingham, UK. Electronic address: peter.magennis@nottingham.ac.uk.
A L HookLaboratory of Biophysics and Surface Analysis, School of Pharmacy, University of Nottingham, Nottingham, UK. Electronic address: andrew.hook@nottingham.ac.uk.
M C DaviesLaboratory of Biophysics and Surface Analysis, School of Pharmacy, University of Nottingham, Nottingham, UK. Electronic address: martyn.davies@nottingham.ac.uk.
C AlexanderDrug Delivery and Tissue Engineering, School of Pharmacy, University of Nottingham, Nottingham, UK. Electronic address: cameron.alexander@nottingham.ac.uk.
P WilliamsSchool of Molecular Medical Sciences, University of Nottingham, Nottingham, UK. Electronic address: paul.williams@nottingham.ac.uk.
M R AlexanderLaboratory of Biophysics and Surface Analysis, School of Pharmacy, University of Nottingham, Nottingham, UK. Electronic address: morgan.alexander@nottingham.ac.uk.

Funding

Wellcome Trust 103882Wellcome Trust 103884
6 · The paper itself

Abstract

Controlling the colonisation of materials by microorganisms is important in a wide range of industries and clinical settings. To date, the underlying mechanisms that govern the interactions of bacteria with material surfaces remain poorly understood, limiting the ab initio design and engineering of biomaterials to control bacterial attachment. Combinatorial approaches involving high-throughput screening have emerged as key tools for identifying materials to control bacterial attachment. The hundreds of different materials assessed using these methods can be carried out with the aid of computational modelling. This approach can develop an understanding of the rules used to predict bacterial attachment to surfaces of non-toxic synthetic materials. Here we outline our view on the state of this field and the challenges and opportunities in this area for the coming years. STATEMENT OF SIGNIFICANCE: This opinion article on high throughput screening methods reflects one aspect of how the field of biomaterials research has developed and progressed. The piece takes the reader through key developments in biomaterials discovery, particularly focusing on need to reduce bacterial colonisation of surfaces. Such bacterial resistant surfaces are increasingly required in this age of antibiotic resistance. The influence and origin of high-throughput methods are discussed with insights into the future of biomaterials development where computational methods may drive materials development into new fertile areas of discovery. New biomaterials will exhibit responsiveness to adapt to the biological environment and promote better integration and reduced rejection or infection.

Indexed as

AnimalsBacteriaBacterial AdhesionBiocompatible MaterialsHigh-Throughput Screening AssaysHumansMaterials TestingBiocompatible MaterialsBacteriaBiofilmBiomaterialsHigh-throughputPolymers

Identifiers

PMID26577984
PMCPMC4824014

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.