Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment
Grażyna Czeszewska-Rosiak,
Iwona Adamczyk,
Agnieszka Ludwiczak,
Piotr Fijałkowski,
Paweł Fijałkowski,
Magdalena Twarużek,
Michał Złoch,
Dorota Gabryś,
Wioletta Miśta,
Andrzej Tretyn,
Paweł Piotr Pomastowski
Affiliations
Grażyna Czeszewska-Rosiak
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland; Departnemt of Plant Physiology and Biotechnology, Nicolaus Copernicus University in Torun, Lwowska 1 Str., 87-100 Torun, Poland
Iwona Adamczyk
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland; Department of Physiology and Toxicology, Kazimierz Wielki University, Chodkiewicza 30 Str., Bydgoszcz, Poland; Corresponding author. Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland.
Agnieszka Ludwiczak
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland; Department of Immunology, Faculty of Biological and Veterinary Sciences, Nicolaus Copernicus University in Torun, Lwowska 1 Str., 87-100 Toruń, Poland
Piotr Fijałkowski
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland
Paweł Fijałkowski
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland; Department of Environmental Chemistry and Bioanalytics, Faculty of Chemistry, Nicolaus Copernicus University in Toruń, Gagarina 7 Str., 87-100 Toruń, Poland
Magdalena Twarużek
Department of Physiology and Toxicology, Kazimierz Wielki University, Chodkiewicza 30 Str., Bydgoszcz, Poland
Michał Złoch
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland
Dorota Gabryś
Radiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Wybrzeze Armii Krajowej 15 Str., Poland
Wioletta Miśta
Radiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Wybrzeze Armii Krajowej 15 Str., Poland
Andrzej Tretyn
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland; Departnemt of Plant Physiology and Biotechnology, Nicolaus Copernicus University in Torun, Lwowska 1 Str., 87-100 Torun, Poland
Paweł Piotr Pomastowski
Centre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, Poland
Rapid diagnostics of microbes in hospitals are crucial for promptly identifying infections, enabling timely and appropriate treatment. The study was conducted to evaluate the effectiveness of the matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI TOF MS) technology in the microbial profiling of hospital environments and patient samples. The objective was to determine the microbial landscape in swabs collected from hospitalized patients and their immediate environments, using MALDI to compare the capabilities of two systems: BRUKER and ZYBIO. The analysis resulted in 1012 microbial identifications from patient samples (N = 81), encompassing 96 species, and 1496 identifications from hospital surface samples (N = 108), covering 124 species. Predominantly identified microorganisms in patients’ samples included Staphylococcus epidermidis, Staphylococcus aureus, Staphylococcus capitis, Steptococcus salivarius, and Micrococcus luteus, whereas environmental samples chiefly yielded S. epidermidis, Staphylococcus hominis, Staphylococcus warneri, and Microcccus luteus. 33 species were found in both types of samples, highlighting a significant microbial interchange within hospital settings. Both MALDI systems showed high consistency in results at both genus and species levels. Nevertheless, mismatches in identification between both MALDI systems were noted, particularly within Brevibacterium, Streptococcus, Bacillus, Staphylococcus, and Neisseria genera. This study presents the precision of MALDI technology in microbial identification and highlights the need for ongoing enhancements, especially in the expansion and updating of databases, to bolster its diagnostic effectiveness further.