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

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.

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Publication Details

Journal
Nature Communications
Published
2024-11-28
DOI
https://doi.org/10.1038/s41467-024-53537-2
Citations
28
Primary Topic
Nanocluster Synthesis and Applications
Type
article
Field-Weighted Citation Impact
3.28

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article

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

Anna Klöckner, Adrian Najer, Leah C. Frenette, David J. Peeler et al.
28 citations
Nature Communications
Nanocluster Synthesis and Applications
3.28
article

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

Anna Klöckner, Adrian Najer, Leah C. Frenette, David J. Peeler, Patrick Charchar, Chalaisorn Thanapongpibul, John S. Tregoning, Mohamed Chami, Molly M. Stevens, Colleen N. Loynachan, Luca Panariello, Ivan P. Parkin, Kaili Chen, Irene Yarovsky, Kersti Karu, Maria João Silva, Michael Potter, Andrew M. Edwards, Catherine Saunders, Thomas B. Clarke
article en
28 citations

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.

Nature CommunicationsVol. 15(1)
King's College London (GB), University of Basel (CH), Karolinska Institutet (SE), University of Oxford (GB), MIT University (MK), NIHR Imperial Biomedical Research Centre (GB), Science Oxford (GB), University College London (GB), Imperial College London (GB), RMIT University (AU)
Wellcome Trust, Francis Crick Institute, Australian Government, Cancer Research UK, Royal Academy of Engineering, Imperial College London, European Commission, Rosetrees Trust, Office of the Civil Service Commission, Medical Research Council, Engineering and Physical Sciences Research Council, H2020 Marie Skłodowska-Curie Actions
Good health and well-being
Openalex Percentile: Top 4%
Nanocluster Synthesis and Applications
3.28
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