Aspergillus infection monitored by multimodal imaging in a rat model

Tomas Pluhacek1,2, Milos Petrik3, Dominika Luptakova1,4

  • 1Institute of Microbiology of the CAS, v.v.i, Prague, Czech Republic.

Proteomics
|April 10, 2016
PubMed

Insights

New imaging techniques reveal silver and gold can detect Aspergillus fungal infections early. This multimodal approach offers a sensitive and specific diagnostic tool for fungal burden in lungs.

Area of Science:

  • Medical imaging
  • Mycology
  • Analytical chemistry

Background:

  • Current Aspergillus diagnostics lack early, noninvasive tools with high sensitivity and specificity.
  • Fungal burden assessment in lung infections requires improved detection methods.

Purpose of the Study:

  • To develop and validate a multimodal imaging approach for early detection of Aspergillus fungal burden in rat lungs.
  • To investigate the utility of elemental imaging, specifically silver and gold, for sensitive fungal infection tracking.

Main Methods:

  • Multimodal imaging combining positron emission tomography and light microscopy (Grocott's stain, eosin counterstain).
  • Laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS) imaging for elemental analysis.
  • Energy dispersive X-ray scattering (EDX) and scanning electron microscopy (SEM) for submicron imaging.

Main Results:

  • LA-ICP-MS imaging revealed increased iron in fungal-infected areas, attributed to microbial siderophores.
  • Silver (Ag) and gold (Au) were identified as excellent elements for sensitive Aspergillus tracking.
  • Low limits of detection (0.03 μg/g for Ag and Au) were achieved with a 5 μm laser focus.
  • Selective incorporation of Ag and Au into fungal cells with low background noise confirmed by EDX/SEM.

Conclusions:

  • Multimodal imaging, particularly LA-ICP-MS with silver and gold, provides a sensitive and specific method for early Aspergillus infection detection.
  • This elemental imaging approach offers a viable alternative to current optical diagnostic methods in clinical settings.

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