Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment
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 i...
Saved in:
Main Authors: | , , , , , , , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2025-01-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844025003950 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
_version_ | 1832573103420473344 |
---|---|
author | Grażyna Czeszewska-Rosiak Iwona Adamczyk Agnieszka Ludwiczak Piotr Fijałkowski Paweł Fijałkowski Magdalena Twarużek Michał Złoch Dorota Gabryś Wioletta Miśta Andrzej Tretyn Paweł Piotr Pomastowski |
author_facet | Grażyna Czeszewska-Rosiak Iwona Adamczyk Agnieszka Ludwiczak Piotr Fijałkowski Paweł Fijałkowski Magdalena Twarużek Michał Złoch Dorota Gabryś Wioletta Miśta Andrzej Tretyn Paweł Piotr Pomastowski |
author_sort | Grażyna Czeszewska-Rosiak |
collection | DOAJ |
description | 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. |
format | Article |
id | doaj-art-c11ed361935d43238f5bd9b2e7bc89fa |
institution | Kabale University |
issn | 2405-8440 |
language | English |
publishDate | 2025-01-01 |
publisher | Elsevier |
record_format | Article |
series | Heliyon |
spelling | doaj-art-c11ed361935d43238f5bd9b2e7bc89fa2025-02-02T05:28:48ZengElsevierHeliyon2405-84402025-01-01112e42015Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environmentGrażyna Czeszewska-Rosiak0Iwona Adamczyk1Agnieszka Ludwiczak2Piotr Fijałkowski3Paweł Fijałkowski4Magdalena Twarużek5Michał Złoch6Dorota Gabryś7Wioletta Miśta8Andrzej Tretyn9Paweł Piotr Pomastowski10Centre 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, PolandCentre 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.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, PolandCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, PolandCentre 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, PolandDepartment of Physiology and Toxicology, Kazimierz Wielki University, Chodkiewicza 30 Str., Bydgoszcz, PolandCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, PolandRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Wybrzeze Armii Krajowej 15 Str., PolandRadiotherapy Department, Maria Sklodowska-Curie National Research Institute of Oncology, Wybrzeze Armii Krajowej 15 Str., PolandCentre 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, PolandCentre for Modern Interdisciplinary Technologies, Nicolaus Copernicus University in Torun, Wilenska 4 Str., Torun 87-100, PolandRapid 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.http://www.sciencedirect.com/science/article/pii/S2405844025003950MALDI-TOF MSMicroorganisms' identificationPathogen detectionOpportunistic bacteriaHealthcare environments |
spellingShingle | Grażyna Czeszewska-Rosiak Iwona Adamczyk Agnieszka Ludwiczak Piotr Fijałkowski Paweł Fijałkowski Magdalena Twarużek Michał Złoch Dorota Gabryś Wioletta Miśta Andrzej Tretyn Paweł Piotr Pomastowski Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment Heliyon MALDI-TOF MS Microorganisms' identification Pathogen detection Opportunistic bacteria Healthcare environments |
title | Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment |
title_full | Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment |
title_fullStr | Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment |
title_full_unstemmed | Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment |
title_short | Analysis of the efficacy of MALDI-TOF MS technology in identifying microorganisms in cancer patients and oncology hospital environment |
title_sort | analysis of the efficacy of maldi tof ms technology in identifying microorganisms in cancer patients and oncology hospital environment |
topic | MALDI-TOF MS Microorganisms' identification Pathogen detection Opportunistic bacteria Healthcare environments |
url | http://www.sciencedirect.com/science/article/pii/S2405844025003950 |
work_keys_str_mv | AT grazynaczeszewskarosiak analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT iwonaadamczyk analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT agnieszkaludwiczak analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT piotrfijałkowski analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT pawełfijałkowski analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT magdalenatwaruzek analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT michałzłoch analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT dorotagabrys analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT wiolettamista analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT andrzejtretyn analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment AT pawełpiotrpomastowski analysisoftheefficacyofmalditofmstechnologyinidentifyingmicroorganismsincancerpatientsandoncologyhospitalenvironment |