The University of Southampton
University of Southampton Institutional Repository

Evaluation of peptide-based probes towards in vivo diagnostic imaging of bacterial biofilm-associated infections

Evaluation of peptide-based probes towards in vivo diagnostic imaging of bacterial biofilm-associated infections
Evaluation of peptide-based probes towards in vivo diagnostic imaging of bacterial biofilm-associated infections

The clinical management of bacterial biofilm infections represents an enormous challenge in today's healthcare setting. The NIH estimates that 65% of bacterial infections are biofilm-related, and therapeutic outcomes are positively correlated with early intervention. Currently, there is no reliable imaging technique to detect biofilm infections in vivo, and current clinical protocols for accurate and direct biofilm identification are nonexistent. In orthopedic implant-Associated biofilm infections, for example, current detection methods are based on nonspecific X-ray or radiolabeled white blood cell imaging, coupled with peri-prosthetic tissue or fluid samples taken invasively, and must be cultured. This approach is time-consuming and often fails to detect biofilm bacteria due to sampling errors and a lack of sensitivity. The ability to quantify bacterial biofilms by real-Time noninvasive imaging is an urgent unmet clinical need that would revolutionize the management and treatment of these devastating types of infections. In the present study, we assembled a collection of fluorescently labeled peptide candidates to specifically explore their biofilm targeting properties. We evaluated these fluorescently labeled peptides using various in vitro assays for their ability to specifically and nondestructively target biofilms produced by model bacterial pathogen Pseudomonas aeruginosa. The lead candidate that emerged, 4Iphf-HN17, demonstrated rapid biofilm labeling kinetics, a lack of bactericidal activity, and biofilm targeting specificity in human cell infection models. In vivo fluorescently labeled 4Iphf-HN17 showed enhanced accumulation in biofilm-infected wounds, thus warranting further study.

Pseudomonas aeruginosa, biofilms, diagnostics, imaging, optical, peptides
2373-8227
2086-2098
Locke, Landon W.
6c9b1992-e200-405d-9f7b-c235ed0b8318
Shankaran, Kothandaraman
952db8c4-4df5-4b92-82d1-46d47d2b5a48
Gong, Li
48d59b22-33cf-47a8-a5da-df9e54840870
Stoodley, Paul
08614665-92a9-4466-806e-20c6daeb483f
Vozar, Samuel L.
9bd8a219-d103-4392-b454-97d5b0b7a3dd
Cole, Sara L.
ffa784dd-f18a-4d16-9e45-31625c236588
Tweedle, Michael F.
8ed41ad7-87b0-41a8-9efc-6e4c6022f2e7
Wozniak, Daniel J.
bfa8e8e5-5929-449b-af6a-ec2d86c47eb5
Locke, Landon W.
6c9b1992-e200-405d-9f7b-c235ed0b8318
Shankaran, Kothandaraman
952db8c4-4df5-4b92-82d1-46d47d2b5a48
Gong, Li
48d59b22-33cf-47a8-a5da-df9e54840870
Stoodley, Paul
08614665-92a9-4466-806e-20c6daeb483f
Vozar, Samuel L.
9bd8a219-d103-4392-b454-97d5b0b7a3dd
Cole, Sara L.
ffa784dd-f18a-4d16-9e45-31625c236588
Tweedle, Michael F.
8ed41ad7-87b0-41a8-9efc-6e4c6022f2e7
Wozniak, Daniel J.
bfa8e8e5-5929-449b-af6a-ec2d86c47eb5

Locke, Landon W., Shankaran, Kothandaraman, Gong, Li, Stoodley, Paul, Vozar, Samuel L., Cole, Sara L., Tweedle, Michael F. and Wozniak, Daniel J. (2020) Evaluation of peptide-based probes towards in vivo diagnostic imaging of bacterial biofilm-associated infections. ACS Infectious Diseases, 6 (8), 2086-2098. (doi:10.1021/acsinfecdis.0c00125).

Record type: Article

Abstract

The clinical management of bacterial biofilm infections represents an enormous challenge in today's healthcare setting. The NIH estimates that 65% of bacterial infections are biofilm-related, and therapeutic outcomes are positively correlated with early intervention. Currently, there is no reliable imaging technique to detect biofilm infections in vivo, and current clinical protocols for accurate and direct biofilm identification are nonexistent. In orthopedic implant-Associated biofilm infections, for example, current detection methods are based on nonspecific X-ray or radiolabeled white blood cell imaging, coupled with peri-prosthetic tissue or fluid samples taken invasively, and must be cultured. This approach is time-consuming and often fails to detect biofilm bacteria due to sampling errors and a lack of sensitivity. The ability to quantify bacterial biofilms by real-Time noninvasive imaging is an urgent unmet clinical need that would revolutionize the management and treatment of these devastating types of infections. In the present study, we assembled a collection of fluorescently labeled peptide candidates to specifically explore their biofilm targeting properties. We evaluated these fluorescently labeled peptides using various in vitro assays for their ability to specifically and nondestructively target biofilms produced by model bacterial pathogen Pseudomonas aeruginosa. The lead candidate that emerged, 4Iphf-HN17, demonstrated rapid biofilm labeling kinetics, a lack of bactericidal activity, and biofilm targeting specificity in human cell infection models. In vivo fluorescently labeled 4Iphf-HN17 showed enhanced accumulation in biofilm-infected wounds, thus warranting further study.

Text
ACS Locke Manu Revised_Clean (1) - Accepted Manuscript
Download (13MB)

More information

Accepted/In Press date: 14 June 2020
e-pub ahead of print date: 30 June 2020
Published date: 14 August 2020
Additional Information: Funding Information: This work was supported by NIH grants AI134895 and AI143916 (to D.J.W.) and R01GM124436 (to P.S.), start-up funds (provided to L.W.L.) by The Ohio State University College of Engineering, and a Cure CF Columbus (C3) Trainee Grant titled “Targeted Imaging of Pseudomonas aeruginosa Biofilms”. C3 is supported by Research Development Program Grant MCCOY19RO from the Cystic Fibrosis Foundation. Funding Information: The authors acknowledge the following people for their contributions to this work: Jacqueline Stewart for her assistance with mouse injections, Matt Dunn for assisting with the MIPAR analysis script, Oscar Mejia for assisting with blood draws, Chris Jones for preparing the PAO1-mCherry + strain, Sherri Dellos-Nolan for assisting with the mouse model, the Small Animal Imaging Core in The Ohio State University College of Medicine, and the Comparative Pathology and Mouse Phenotyping Core at the OSU Vet School. We thank the Analytical Cytometry Shared Resource at The Ohio State University and Alex Cornwell in particular for his technical assistance. We also thank Dr. Robert Shanks at the University of Pittsburgh for kindly providing us with the PAO1-TdTomato strain. Finally, images presented in this report were generated using the instruments and services at the Campus Microscopy and Imaging Facility, The Ohio State University. This facility is supported in part by grant P30 CA016058, National Cancer Institute, Bethesda, MD. Publisher Copyright: Copyright © 2020 American Chemical Society.
Keywords: Pseudomonas aeruginosa, biofilms, diagnostics, imaging, optical, peptides

Identifiers

Local EPrints ID: 442526
URI: http://eprints.soton.ac.uk/id/eprint/442526
ISSN: 2373-8227
PURE UUID: 3dbd660f-0ab2-4211-a00d-701834b83a58
ORCID for Paul Stoodley: ORCID iD orcid.org/0000-0001-6069-273X

Catalogue record

Date deposited: 17 Jul 2020 16:31
Last modified: 17 Mar 2024 05:43

Export record

Altmetrics

Contributors

Author: Landon W. Locke
Author: Kothandaraman Shankaran
Author: Li Gong
Author: Paul Stoodley ORCID iD
Author: Samuel L. Vozar
Author: Sara L. Cole
Author: Michael F. Tweedle
Author: Daniel J. Wozniak

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×