Selective PET imaging of bacterial infection using a glycosylated 18F-fluorodeoxyglucose-derived tracer

Abstract Distinguishing bacterial infection from non-infectious inflammation remains challenging because most clinical imaging detects the host inflammatory response rather than the bacteria themselves. The widely used glucose analogue 18 F-fluorodeoxyglucose accumulates in metabolically active tissues, including immune cells, resulting in high background signals and limited specificity. Here we report a positron emission tomography tracer that directly targets bacterial metabolism by exploiting the phosphotransferase system, a carbohydrate transport pathway absent in mammalian cells. O -glycosylation of 18 F-fluorodeoxyglucose generated a library of alkyl glucosides in a single step (33–92% yield), enabling rapid screening for bacterial uptake. In vitro studies identified a methanol-derived tracer in which the β-anomer showed selective incorporation into Staphylococcus species via the glucose-specific phosphotransferase transporter. This positron emission tomography tracer was stable in human serum and showed minimal uptake in mammalian cells and uninfected tissues. In murine models, it detected sites of live gram-positive infection with more than sixfold higher signal than non-infected tissue, without accumulation in aseptic inflammation, and enabled monitoring of response to antibiotic therapy.

Authors

Institutions

Publication Details

Journal
Nature Biomedical Engineering
Published
2026-10-05
DOI
https://doi.org/10.1038/s41551-026-01798-1
Primary Topic
Radiopharmaceutical Chemistry and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selective PET imaging of bacterial infection using a glycosylated 18F-fluorodeoxyglucose-derived tracer

Joanne N. Engel, Joseph E. Blecha, Anju Wadhwa, Anil P. Bidkar et al.
Nature Biomedical Engineering
Radiopharmaceutical Chemistry and Applications
article

Selective PET imaging of bacterial infection using a glycosylated 18F-fluorodeoxyglucose-derived tracer

Joanne N. Engel, Joseph E. Blecha, Anju Wadhwa, Anil P. Bidkar, David M. Wilson, Alvaro A. Ordoñez, Marina López‐Álvarez, Michael A. Ohliger, Youngho Seo, Junaid Ur Rahim, Robert R. Flavell, Jung Min Kim, Sang‐Hee Lee
article en

Abstract

Abstract Distinguishing bacterial infection from non-infectious inflammation remains challenging because most clinical imaging detects the host inflammatory response rather than the bacteria themselves. The widely used glucose analogue 18 F-fluorodeoxyglucose accumulates in metabolically active tissues, including immune cells, resulting in high background signals and limited specificity. Here we report a positron emission tomography tracer that directly targets bacterial metabolism by exploiting the phosphotransferase system, a carbohydrate transport pathway absent in mammalian cells. O -glycosylation of 18 F-fluorodeoxyglucose generated a library of alkyl glucosides in a single step (33–92% yield), enabling rapid screening for bacterial uptake. In vitro studies identified a methanol-derived tracer in which the β-anomer showed selective incorporation into Staphylococcus species via the glucose-specific phosphotransferase transporter. This positron emission tomography tracer was stable in human serum and showed minimal uptake in mammalian cells and uninfected tissues. In murine models, it detected sites of live gram-positive infection with more than sixfold higher signal than non-infected tissue, without accumulation in aseptic inflammation, and enabled monitoring of response to antibiotic therapy.

Nature Biomedical Engineering
San Francisco General Hospital (US), University of California, San Francisco (US), UCSF Helen Diller Family Comprehensive Cancer Center (US), University of Pennsylvania (US), University of California, Berkeley (US)
Openalex Percentile: Top 12%
Radiopharmaceutical Chemistry and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.