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MALDI-TOF/TOF and diagnosis of bacterial UTIs


Oros, Damir; Čeprnja, Marina; Žučko, Jurica; Cindrić, Mario; Hozić, Amela; Škrlin-Šubić, Jasenka; Starčević, Antonio
MALDI-TOF/TOF and diagnosis of bacterial UTIs // Biologia Serbica
Novi Sad: Department of Biology and Science, 2018. str. 88-88 (predavanje, međunarodna recenzija, sažetak, znanstveni)


Naslov
MALDI-TOF/TOF and diagnosis of bacterial UTIs

Autori
Oros, Damir ; Čeprnja, Marina ; Žučko, Jurica ; Cindrić, Mario ; Hozić, Amela ; Škrlin-Šubić, Jasenka ; Starčević, Antonio

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
Biologia Serbica / - Novi Sad : Department of Biology and Science, 2018, 88-88

Skup
Belgrade BioInformatics Conference 2018

Mjesto i datum
Beograd, Srbija, 18-22.06.2018

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Native urine sample ; pathogen identification ; proteomics ; genomics ; bioinformatics

Sažetak
Urinary tract infections (UTIs) are the most common form of bacterial infections in the community and in hospitals, so fast and reliable microbial pathogen identification in human urine samples is required for clinical microbiology laboratory, especially for the world with more prevalent antibiotic resistance. In our study we analyzed 20 outpatient human urine samples with microbiologically proved presence of more than 105 CFU/ml with Matrix assisted laser desorption/ionization-time of flight (MALDI-TOF/TOF). As a reference for bacterial diversity selected urine samples were determined using 16S rRNA gene sequencing. The direct approach, without step in which the microorganisms are isolated and grown, provided successful identification of bacteria at the genus and species levels, especially for monobacterial samples of Citrobacter koseri, Escherichia coli, Klebsiella spp., and Proteus spp. The results of this study demonstrates that we could identify different pathogen with MALDI-TOF/TOF from fresh or frozen, not cultivated human urine samples. In our further investigations double fractionation turned out to be a very good solution. Problems with hypothetical proteins during bioinformatics analysis with ProteinPlot will be figure out with in-house developed software based on natural language processing.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija, Biotehnologija u biomedicini (prirodno područje, biomedicina i zdravstvo, biotehničko područje)



POVEZANOST RADA


Projekt / tema
HRZZ-IP-2016-06-3509 - Istraživanje ravnoteže mikrobioma debelog crijeva (Antonio Starčević, )

Ustanove
Prehrambeno-biotehnološki fakultet, Zagreb,
Institut "Ruđer Bošković", Zagreb,
Klinička bolnica "Dubrava"