PET Imaging of Active Invasive Fungal Infections with d-[5-11C]-Glutamine
Cynthia M Co1, Aditi Mulgaonkar2, Ning Zhou2
1Department of Bioengineering, University of Texas at Arlington, Arlington, Texas 76019, United States.
ACS Infectious Diseases
|July 22, 2022
Summary
This study shows d-[5-11C]-glutamine (d-[5-11C]-Gln) can effectively image fungal infections using PET scans. This new radiotracer offers a promising tool for diagnosing invasive fungal infections (IFIs).
Area of Science:
- Medical Imaging
- Nuclear Medicine
- Infectious Diseases
Background:
- Invasive fungal infections (IFIs) are a growing concern, particularly in immunocompromised individuals.
- Rapid and accurate diagnosis of IFIs is crucial for effective treatment.
- Radiotracers derived from d-amino acids (DAAs) show potential for pathogen-specific imaging.
Purpose of the Study:
- To evaluate the translational potential of d-[5-11C]-glutamine (d-[5-11C]-Gln) for positron emission tomography (PET) imaging of invasive fungal infections (IFIs).
- To compare the efficacy of d-[5-11C]-Gln against its l-isomer control for imaging fungal infections in mouse models.
Main Methods:
- Developed and validated d-[5-11C]-glutamine (d-[5-11C]-Gln) as a PET imaging radiotracer.
- Infected immunocompetent mice with *Candida albicans* subcutaneously (SubQ) and intramuscularly (IM).
- Utilized l-[5-11C]-Gln as a control and compared uptake in fungal versus bacterial infections.
Main Results:
- d-[5-11C]-Gln showed significantly higher uptake in fungi (*C. albicans*, *C. tropicalis*) compared to tested bacterial species.
- PET imaging in infected mice revealed significantly higher infection-to-background ratios for d-[5-11C]-Gln versus l-[5-11C]-Gln in both SubQ and IM models.
- Imaging specificity was confirmed, with no significant uptake difference between inflammation sites and background muscle.
Conclusions:
- d-[5-11C]-Gln demonstrates translational potential for noninvasive PET imaging of invasive fungal infections.
- This radiotracer shows promise for sensitive and specific detection of fungal pathogens.
- Further research may lead to improved diagnostic tools for IFIs.
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