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.

Insights

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.