| eLife | |
| Hemodynamic molecular imaging of tumor-associated enzyme activity in the living brain | |
| Adrian L Slusarczyk1  Robert Ohlendorf1  Mitul Desai1  Ashley A Chapin1  Alan Jasanoff2  Jitendra Sharma3  Mriganka Sur3  Agata Wisniowska4  | |
| [1] Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, United States;Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, United States;Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States;Department of Nuclear Science & Engineering, Massachusetts Institute of Technology, Cambridge, United States;Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, United States;Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, United States; | |
| 关键词: molecular imaging; protease; brain; cancer; MRI; saimiri sciureus; Rat; | |
| DOI : 10.7554/eLife.70237 | |
| 来源: eLife Sciences Publications, Ltd | |
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【 摘 要 】
Molecular imaging could have great utility for detecting, classifying, and guiding treatment of brain disorders, but existing probes offer limited capability for assessing relevant physiological parameters. Here, we describe a potent approach for noninvasive mapping of cancer-associated enzyme activity using a molecular sensor that acts on the vasculature, providing a diagnostic readout via local changes in hemodynamic image contrast. The sensor is targeted at the fibroblast activation protein (FAP), an extracellular dipeptidase and clinically relevant biomarker of brain tumor biology. Optimal FAP sensor variants were identified by screening a series of prototypes for responsiveness in a cell-based bioassay. The best variant was then applied for quantitative neuroimaging of FAP activity in rats, where it reveals nanomolar-scale FAP expression by xenografted cells. The activated probe also induces robust hemodynamic contrast in nonhuman primate brain. This work thus demonstrates a potentially translatable strategy for ultrasensitive functional imaging of molecular targets in neuromedicine.
【 授权许可】
CC BY
【 预 览 】
| Files | Size | Format | View |
|---|---|---|---|
| RO202112112412332ZK.pdf | 2809KB |
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