Noninvasive Combined Diagnosis and Monitoring of Aspergillus and Pseudomonas Infections: Proof of Concept

0547360 - MBÚ 2022 RIV CH eng J - Journal Article
Dobiáš, R. - Škríba, Anton - Pluháček, Tomáš - Petřík, M. - Palyzová, Andrea - Káňová, M. - Čubova, E. - Houšť, Jiří - Novák, Jiří - Stevens, D. A. - Mitulovic, G. - Krejčí, E. - Hubáček, P. - Havlíček, Vladimír
Noninvasive Combined Diagnosis and Monitoring of Aspergillus and Pseudomonas Infections: Proof of Concept.
Journal of Fungi. Roč. 7, č. 9 (2021), č. článku 730. E-ISSN 2309-608X
R&D Projects: GA ČR(CZ) GA19-10907S
Institutional support: RVO:61388971
Keywords : Aspergillus fumigatus * Pseudomonas aeruginosa * invasive infection * noninvasive diagnosis * coinfection * virulence factor * siderophores * quorum-sensing molecules
OECD category: Microbiology
Impact factor: 5.724, year: 2021
Method of publishing: Open access
https://www.mdpi.com/2309-608X/7/9/730

In acutely ill patients, particularly in intensive care units or in mixed infections, time to a microbe-specific diagnosis is critical to a successful outcome of therapy. We report the application of evolving technologies involving mass spectrometry to diagnose and monitor a patient's course. As proof of this concept, we studied five patients and used two rat models of mono-infection and coinfection. We report the noninvasive combined monitoring of Aspergillus fumigatus and Pseudomonas aeruginosa infection. The invasive coinfection was detected by monitoring the fungal triacetylfusarinine C and ferricrocin siderophore levels and the bacterial metabolites pyoverdin E, pyochelin, and 2-heptyl-4-quinolone, studied in the urine, endotracheal aspirate, or breath condensate. The coinfection was monitored by mass spectrometry followed by isotopic data filtering. In the rat infection model, detection indicated 100-fold more siderophores in urine compared to sera, indicating the diagnostic potential of urine sampling. The tools utilized in our studies can now be examined in large clinical series, where we could expect the accuracy and speed of diagnosis to be competitive with conventional methods and provide advantages in unraveling the complexities of mixed infections.
Permanent Link: http://hdl.handle.net/11104/0323602