Maltotriose-based probes for fluorescence and photoacoustic imaging of bacterial infections.

Nature Communications
Aimen ZlitniSanjiv S Gambhir

Abstract

Currently, there are no non-invasive tools to accurately diagnose wound and surgical site infections before they become systemic or cause significant anatomical damage. Fluorescence and photoacoustic imaging are cost-effective imaging modalities that can be used to noninvasively diagnose bacterial infections when paired with a molecularly targeted infection imaging agent. Here, we develop a fluorescent derivative of maltotriose (Cy7-1-maltotriose), which is shown to be taken up in a variety of gram-positive and gram-negative bacterial strains in vitro. In vivo fluorescence and photoacoustic imaging studies highlight the ability of this probe to detect infection, assess infection burden, and visualize the effectiveness of antibiotic treatment in E. coli-induced myositis and a clinically relevant S. aureus wound infection murine model. In addition, we show that maltotriose is an ideal scaffold for infection imaging agents encompassing better pharmacokinetic properties and in vivo stability than other maltodextrins (e.g. maltohexose).

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Citations

Jul 14, 2020·Journal of Materials Chemistry. B, Materials for Biology and Medicine·Xuancheng DuYong-Qiang Li
Jul 1, 2020·Journal of Labelled Compounds & Radiopharmaceuticals·Moustafa T GabrSanjiv S Gambhir
Mar 2, 2021·Nuclear Medicine and Molecular Imaging·Sae-Ryung Kang, Jung-Joon Min
Apr 8, 2021·ACS Applied Materials & Interfaces·Jie FengYu-Bin Dong
May 1, 2021·Biomedicines·Adrian P RegensburgerFerdinand Knieling
May 21, 2021·Chemical Society Reviews·Yurou HuangJuyoung Yoon
Jun 16, 2021·Bioorganic & Medicinal Chemistry·Phuong Luong, Danielle H Dube
Jun 29, 2021·Current Opinion in Biomedical Engineering·Leslie W Chan
Nov 13, 2020·Journal of the American Chemical Society·Liang ZhengFu-Jian Xu

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Methods Mentioned

BETA
imaging technique
glycosylation
competition binding
Fluorescence imaging

Software Mentioned

Fiji
MATLAB
VevoLAB

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