Evidence map›Paper›PMID 39609415›Full record

ArticleNature communications2024

Non-invasive in vivo sensing of bacterial implant infection using catalytically-optimised gold nanocluster-loaded liposomes for urinary readout.

Kaili Chen, Adrian Najer, Patrick Charchar, Catherine Saunders, Chalaisorn Thanapongpibul, Anna Klöckner, Mohamed Chami, David J Peeler, Inês Silva, Luca Panariello and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–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

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Review
  6. Photo-PISA DrivenACS sensors · 2025
    Article
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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

20 authors.

Kaili ChenDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Adrian NajerDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK. adrian.najer@kcl.ac.uk.ORCID 0000-0003-4868-9364
Patrick CharcharSchool of Engineering, RMIT University, Melbourne, VIC, 3001, Australia.ORCID 0000-0002-9201-4711
Catherine SaundersDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Chalaisorn ThanapongpibulDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Anna KlöcknerDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Mohamed ChamiBioEM lab, Biozentrum, University of Basel, Mattenstrasse 26, Basel, 4058, Switzerland.
David J PeelerDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Inês SilvaDepartment of Physiology, Anatomy and Genetics, Department of Engineering Science, Kavli Institute for Nanoscience Discovery, University of Oxford, Oxford, OX1 3QU, UK.
Luca PanarielloDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Kersti KaruDepartment of Chemistry, University College London, London, WC1H 0AJ, UK.ORCID 0000-0002-3974-0271
Colleen N LoynachanDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0001-5617-4091
Leah C FrenetteDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
Michael PotterDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK.
John S TregoningDepartment of Infectious Disease, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0001-8093-8741
Ivan P ParkinDepartment of Chemistry, University College London, London, WC1H 0AJ, UK.ORCID 0000-0002-4072-6610
Andrew M EdwardsCentre for Bacterial Resistance Biology (CBRB), Department of Infectious Disease, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0002-7173-7355
Thomas B ClarkeCentre for Bacterial Resistance Biology (CBRB), Department of Infectious Disease, Imperial College London, London, SW7 2AZ, UK.ORCID 0000-0002-9997-9532
Irene YarovskySchool of Engineering, RMIT University, Melbourne, VIC, 3001, Australia. irene.yarovsky@rmit.edu.au.ORCID 0000-0002-4033-5150
Molly M StevensDepartment of Materials, Department of Bioengineering, and Institute of Biomedical Engineering, Imperial College London, London, SW7 2AZ, UK. molly.stevens@dpag.ox.ac.uk.ORCID 0000-0002-7335-266X

Funding

Cancer Research UK (CRUK) EDDPMA-May23/100017EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 Marie Skłodowska-Curie Actions (H2020 Excellent Science - Marie Skłodowska-Curie Actions) "BacDrug" 838183Medical Research Council MR/X502959/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/L015498/1RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/S023259/1Rosetrees Trust CiET2021\94Royal Academy of Engineering CiET2021\94Wellcome Trust 209121/Z/17/ZWellcome Trust (Wellcome) 209121_Z_17_Z
6 · The paper itself

Abstract

Staphylococcus aureus is a leading cause of nosocomial implant-associated infections, causing significant morbidity and mortality, underscoring the need for rapid, non-invasive, and cost-effective diagnostics. Here, we optimise the synthesis of renal-clearable gold nanoclusters (AuNCs) for enhanced catalytic activity with the aim of developing a sensitive colourimetric diagnostic for bacterial infection. All-atom molecular dynamics (MD) simulations confirm the stability of glutathione-coated AuNCs and surface access for peroxidase-like activity in complex physiological environments. We subsequently develop a biosensor by encapsulating these optimised AuNCs in bacterial toxin-responsive liposomes, which is extensively studied by various single-particle techniques. Upon exposure to S. aureus toxins, the liposomes rupture, releasing AuNCs that generate a colourimetric signal after kidney-mimetic filtration. The biosensor is further validated in vitro and in vivo using a hyaluronic acid (HA) hydrogel implant infection model. Urine samples collected from mice with bacteria-infected HA hydrogel implants turn blue upon substrate addition, confirming the suitability of the sensor for non-invasive detection of implant-associated infections. This platform has significant potential as a versatile, cost-effective diagnostic tool.

Indexed as

Biosensing TechniquesGoldLiposomesMetal NanoparticlesStaphylococcal InfectionsStaphylococcus aureusAnimalsCatalysisColorimetryFemaleHumansHyaluronic AcidHydrogelsMiceMolecular Dynamics SimulationProstheses and ImplantsGoldHyaluronic AcidHydrogelsLiposomes

Identifiers

PMID39609415
PMCPMC11605077

What OpenQuestion holds

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Registered trials

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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.