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Record W4404549402 · doi:10.1016/j.exer.2024.110149

The effect of immobilisation strategies on the ability of peptoids to reduce the adhesion of P. aeruginosa strains to contact lenses

2024· article· en· W4404549402 on OpenAlexaff
Manjulatha Sara, Sudip Chakraborty, Renxun Chen, Dennis Palms, Georgio Katsifis, Zhong-Yan Li, Syamak Farajikhah, Vinod Massedupally, Alex Hui, Edgar H. H. Wong, Naresh Kumar, Krasimir Vasilev, David W. MacKenzie, Linda Losurdo, Farida Dehghani, Håvard Jenssen, Kristian Sørensen, Jennifer S Lin, Annelise E. Barron, Mark Willcox

Bibliographic record

VenueExperimental Eye Research · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAntimicrobial Peptides and Activities
Canadian institutionsUniversity of Waterloo
FundersNational Institute on AgingNational Health and Medical Research CouncilOffice of ScienceNational Institutes of HealthSENS Research FoundationUniversity of New South WalesBasic Energy SciencesSilicon Valley Community FoundationCisco SystemsU.S. Department of Energy
KeywordsAdhesionChemistryMicrobiologyBiology

Abstract

fetched live from OpenAlex

Previous studies have demonstrated that contact lenses coated with the antimicrobial cationic peptide Mel4, a derivative of melimine, can reduce the occurrence of keratitis. However, the antimicrobial activity of Mel4 weakened over time due to its susceptibility to proteolytic degradation. Oligo- N -substituted glycine peptoids such as TM5 and TM18 possess antimicrobial properties and are resistant to proteolytic breakdown. This study focused on exploring methods for covalently attaching these peptoids to contact lenses to enhance their durability and performance in vitro . The peptoids TM5 and TM18 were covalently attached to etafilcon lenses via carbodiimide chemistry (EDC/NHS), oxazoline plasma, and plasma ion immersion implantation (PIII). The lenses were analysed using X-ray photoelectron spectroscopy (XPS), surface charge, and hydrophobicity. Inhibition of adhesion of multidrug-resistant Pseudomonas aeruginosa and cytotoxicity on corneal epithelial cells were evaluated. The impact of moist heat sterilization on activity was also assessed. XPS confirmed peptoid binding to lenses. Peptoid coatings slightly increased contact angles (≤23°) without affecting overall charge. Peptoids, bound via carbodiimide, inhibited P. aeruginosa adhesion by over 5 log10 CFU per lens, outperforming melimine, which required six times the concentration for a 3 log10 reduction. Peptoids attached via oxazoline or PIII reduced adhesion by > 5 log10 CFU. All covalent methods significantly reduced bacterial adhesion compared to untreated lenses ( P < 0.0001). Peptoid-bound lenses were non-toxic to corneal epithelial cells. Sterilization did not affect carbodiimide-treated lenses but reduced the activity of oxazoline and PIII surfaces by 1–2 log10 CFU. Peptoids TM5 and TM18 effectively reduced P. aeruginosa adhesion on lenses, with carbodiimide-bound surfaces retaining activity post-sterilization, showing promise for the development of antimicrobial contact lenses. • Novel use of antimicrobial peptoids : Developed contact lens surfaces that reduced the adhesion of Pseudomonas aeruginosa using peptidomimetic compounds. • Surface modification : Employed advanced attachment methods, including carbodiimide chemistry, plasma immersion ion implantation, and antimicrobial polymer coatings, to improve the performance of biomaterial surfaces. • Surfaces have potential for future development : These surfaces have the potential to be developed into antimicrobial contact lenses that may reduce the incidence of microbially-driven adverse events during contact lens wear.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.308

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.383
Teacher spread0.343 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations7
Published2024
Admission routes1
Has abstractyes

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