Exploring the possibilities of infrared spectroscopy for urine sediment examination and detection of pathogenic bacteria in urinary tract infections

Objectives In this study, the possibilities of Fourier-transformed infrared spectroscopy (FTIR) for analysis of urine sediments and for detection of bacteria causing urinary tract infections (UTIs) were investigated. Methods Dried urine specimens of control subjects and patients presenting with vari...

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Veröffentlicht in:Clinical chemistry and laboratory medicine 2020-10, Vol.58 (10), p.1759-1767
Hauptverfasser: Steenbeke, Mieke, De Bruyne, Sander, Boelens, Jerina, Oyaert, Matthijs, Glorieux, Griet, Van Biesen, Wim, Linjala, Jere, Delanghe, Joris R., Speeckaert, Marijn M.
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container_end_page 1767
container_issue 10
container_start_page 1759
container_title Clinical chemistry and laboratory medicine
container_volume 58
creator Steenbeke, Mieke
De Bruyne, Sander
Boelens, Jerina
Oyaert, Matthijs
Glorieux, Griet
Van Biesen, Wim
Linjala, Jere
Delanghe, Joris R.
Speeckaert, Marijn M.
description Objectives In this study, the possibilities of Fourier-transformed infrared spectroscopy (FTIR) for analysis of urine sediments and for detection of bacteria causing urinary tract infections (UTIs) were investigated. Methods Dried urine specimens of control subjects and patients presenting with various nephrological and urological conditions were analysed using mid-infrared spectroscopy (4,000-400 cm-1). Urine samples from patients with a UTI were inoculated on a blood agar plate. After drying of the pure bacterial colonies, FTIR was applied and compared with the results obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Chemometric data analysis was used to classify the different species. Results Due to the typical molecular assignments of lipids, proteins, nucleic acids and carbohydrates, FTIR was able to identify bacteria and showed promising results in the detection of proteins, lipids, white and red blood cells, as well as in the identification of crystals. Principal component analysis (PCA) allowed to differentiate between Gram-negative and Gram-positive species and soft independent modelling of class analogy (SIMCA) revealed promising classification ratios between the different pathogens. Conclusions FTIR can be considered as a supplementary method for urine sediment examination and for detection of pathogenic bacteria in UTI.
doi_str_mv 10.1515/cclm-2020-0524
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Methods Dried urine specimens of control subjects and patients presenting with various nephrological and urological conditions were analysed using mid-infrared spectroscopy (4,000-400 cm-1). Urine samples from patients with a UTI were inoculated on a blood agar plate. After drying of the pure bacterial colonies, FTIR was applied and compared with the results obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Chemometric data analysis was used to classify the different species. Results Due to the typical molecular assignments of lipids, proteins, nucleic acids and carbohydrates, FTIR was able to identify bacteria and showed promising results in the detection of proteins, lipids, white and red blood cells, as well as in the identification of crystals. Principal component analysis (PCA) allowed to differentiate between Gram-negative and Gram-positive species and soft independent modelling of class analogy (SIMCA) revealed promising classification ratios between the different pathogens. Conclusions FTIR can be considered as a supplementary method for urine sediment examination and for detection of pathogenic bacteria in UTI.</description><identifier>ISSN: 1434-6621</identifier><identifier>EISSN: 1437-4331</identifier><identifier>DOI: 10.1515/cclm-2020-0524</identifier><identifier>PMID: 32649292</identifier><language>eng</language><publisher>Germany: De Gruyter</publisher><subject>Bacteria ; Carbohydrates ; Crystals ; Data analysis ; Drying ; Erythrocytes ; Fourier transforms ; Fourier-transformed infrared spectroscopy ; Infrared analysis ; Infrared spectra ; Infrared spectroscopy ; Ionization ; Ions ; Lipids ; Mass spectrometry ; Mass spectroscopy ; Nucleic acids ; Principal components analysis ; Proteins ; Sediments ; soft independent modelling of class analogy ; Species classification ; Spectroscopic analysis ; Urinary tract ; Urinary tract diseases ; Urinary tract infections ; Urine ; urine sediments ; Urogenital system</subject><ispartof>Clinical chemistry and laboratory medicine, 2020-10, Vol.58 (10), p.1759-1767</ispartof><rights>2020 Walter de Gruyter GmbH, Berlin/Boston</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c455t-fb75f1f9bb391bd1cf5c5ff9b3d4560448ef9b27e44aa9e058766dd48850dc4c3</citedby><cites>FETCH-LOGICAL-c455t-fb75f1f9bb391bd1cf5c5ff9b3d4560448ef9b27e44aa9e058766dd48850dc4c3</cites><orcidid>0000-0003-2731-7545</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2020-0524/pdf$$EPDF$$P50$$Gwalterdegruyter$$H</linktopdf><linktohtml>$$Uhttps://www.degruyter.com/document/doi/10.1515/cclm-2020-0524/html$$EHTML$$P50$$Gwalterdegruyter$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,66497,68281</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32649292$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Steenbeke, Mieke</creatorcontrib><creatorcontrib>De Bruyne, Sander</creatorcontrib><creatorcontrib>Boelens, Jerina</creatorcontrib><creatorcontrib>Oyaert, Matthijs</creatorcontrib><creatorcontrib>Glorieux, Griet</creatorcontrib><creatorcontrib>Van Biesen, Wim</creatorcontrib><creatorcontrib>Linjala, Jere</creatorcontrib><creatorcontrib>Delanghe, Joris R.</creatorcontrib><creatorcontrib>Speeckaert, Marijn M.</creatorcontrib><title>Exploring the possibilities of infrared spectroscopy for urine sediment examination and detection of pathogenic bacteria in urinary tract infections</title><title>Clinical chemistry and laboratory medicine</title><addtitle>Clin Chem Lab Med</addtitle><description>Objectives In this study, the possibilities of Fourier-transformed infrared spectroscopy (FTIR) for analysis of urine sediments and for detection of bacteria causing urinary tract infections (UTIs) were investigated. Methods Dried urine specimens of control subjects and patients presenting with various nephrological and urological conditions were analysed using mid-infrared spectroscopy (4,000-400 cm-1). Urine samples from patients with a UTI were inoculated on a blood agar plate. After drying of the pure bacterial colonies, FTIR was applied and compared with the results obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Chemometric data analysis was used to classify the different species. Results Due to the typical molecular assignments of lipids, proteins, nucleic acids and carbohydrates, FTIR was able to identify bacteria and showed promising results in the detection of proteins, lipids, white and red blood cells, as well as in the identification of crystals. Principal component analysis (PCA) allowed to differentiate between Gram-negative and Gram-positive species and soft independent modelling of class analogy (SIMCA) revealed promising classification ratios between the different pathogens. 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Methods Dried urine specimens of control subjects and patients presenting with various nephrological and urological conditions were analysed using mid-infrared spectroscopy (4,000-400 cm-1). Urine samples from patients with a UTI were inoculated on a blood agar plate. After drying of the pure bacterial colonies, FTIR was applied and compared with the results obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). Chemometric data analysis was used to classify the different species. Results Due to the typical molecular assignments of lipids, proteins, nucleic acids and carbohydrates, FTIR was able to identify bacteria and showed promising results in the detection of proteins, lipids, white and red blood cells, as well as in the identification of crystals. Principal component analysis (PCA) allowed to differentiate between Gram-negative and Gram-positive species and soft independent modelling of class analogy (SIMCA) revealed promising classification ratios between the different pathogens. Conclusions FTIR can be considered as a supplementary method for urine sediment examination and for detection of pathogenic bacteria in UTI.</abstract><cop>Germany</cop><pub>De Gruyter</pub><pmid>32649292</pmid><doi>10.1515/cclm-2020-0524</doi><tpages>09</tpages><orcidid>https://orcid.org/0000-0003-2731-7545</orcidid><oa>free_for_read</oa></addata></record>
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source De Gruyter journals
subjects Bacteria
Carbohydrates
Crystals
Data analysis
Drying
Erythrocytes
Fourier transforms
Fourier-transformed infrared spectroscopy
Infrared analysis
Infrared spectra
Infrared spectroscopy
Ionization
Ions
Lipids
Mass spectrometry
Mass spectroscopy
Nucleic acids
Principal components analysis
Proteins
Sediments
soft independent modelling of class analogy
Species classification
Spectroscopic analysis
Urinary tract
Urinary tract diseases
Urinary tract infections
Urine
urine sediments
Urogenital system
title Exploring the possibilities of infrared spectroscopy for urine sediment examination and detection of pathogenic bacteria in urinary tract infections
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