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Usage Information

Leveraging copper import by yersiniabactin siderophore system for targeted PET imaging of bacteria
Nabil A. Siddiqui, Hailey A. Houson, Nitin S. Kamble, Jose R. Blanco, Robert E. O’Donnell, Daniel J. Hassett, Suzanne E. Lapi, Nalinikanth Kotagiri
Nabil A. Siddiqui, Hailey A. Houson, Nitin S. Kamble, Jose R. Blanco, Robert E. O’Donnell, Daniel J. Hassett, Suzanne E. Lapi, Nalinikanth Kotagiri
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Resource and Technical Advance Infectious disease

Leveraging copper import by yersiniabactin siderophore system for targeted PET imaging of bacteria

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Abstract

There is an emerging need for accurate and rapid identification of bacteria in the human body to achieve diverse biomedical objectives. Copper homeostasis is vital for the survival of bacterial species owing to the roles of the metal as a nutrient, respiratory enzyme cofactor, and a toxin. Here, we report the development of a copper-64–labeled bacterial metal chelator, yersiniabactin, to exploit a highly conserved metal acquisition pathway for noninvasive and selective imaging of bacteria. Compared with traditional techniques used to manufacture probes, our strategy simplifies the process considerably by combining the function of metal attachment and cell recognition to the same molecule. We demonstrate, for the first time to our knowledge, how a copper-64 PET probe can be used to identify specific bacterial populations, monitor antibiotic treatment outcomes, and track bacteria in diverse niches in vivo.

Authors

Nabil A. Siddiqui, Hailey A. Houson, Nitin S. Kamble, Jose R. Blanco, Robert E. O’Donnell, Daniel J. Hassett, Suzanne E. Lapi, Nalinikanth Kotagiri

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 1,354 105
PDF 201 27
Figure 450 2
Table 245 0
Supplemental data 94 2
Citation downloads 256 0
Totals 2,600 136
Total Views 2,736
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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