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 |
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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. Conclusions FTIR can be considered as a supplementary method for urine sediment examination and for detection of pathogenic bacteria in UTI.</description><subject>Bacteria</subject><subject>Carbohydrates</subject><subject>Crystals</subject><subject>Data analysis</subject><subject>Drying</subject><subject>Erythrocytes</subject><subject>Fourier transforms</subject><subject>Fourier-transformed infrared spectroscopy</subject><subject>Infrared analysis</subject><subject>Infrared spectra</subject><subject>Infrared spectroscopy</subject><subject>Ionization</subject><subject>Ions</subject><subject>Lipids</subject><subject>Mass spectrometry</subject><subject>Mass spectroscopy</subject><subject>Nucleic acids</subject><subject>Principal components analysis</subject><subject>Proteins</subject><subject>Sediments</subject><subject>soft independent modelling of class analogy</subject><subject>Species classification</subject><subject>Spectroscopic analysis</subject><subject>Urinary tract</subject><subject>Urinary tract diseases</subject><subject>Urinary tract infections</subject><subject>Urine</subject><subject>urine sediments</subject><subject>Urogenital system</subject><issn>1434-6621</issn><issn>1437-4331</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNptkU9rFTEUxYNYbK1uXUrAjZtp83dmshGkVC0UuqnrIZPcvKbMJGOSwb7v4Qc201cVpKvcG37n3OQehN5RckYllefGTHPDCCMNkUy8QCdU8K4RnNOXj7Vo2pbRY_Q653tCqJSie4WOOWuFYoqdoF-XD8sUkw87XO4ALzFnP_rJFw8ZR4d9cEknsDgvYEqK2cRlj11MeK0iwBmsnyEUDA969kEXHwPWwWILpQq2rrosutzFHQRv8KhNgeR1dX600GmPS6qX26iDIr9BR05PGd4-nafo-5fL24tvzfXN16uLz9eNEVKWxo2ddNSpceSKjpYaJ410tedWyJYI0UNtWAdCaK2AyL5rW2tF30tijTD8FH08-C4p_lghl2H22cA06QBxzQMTjJNWCEkr-uE_9D6uKdTXVUpwJbteqUqdHShTN5UTuGFJfq5fHCgZtryGLa9hy2vY8qqC90-26ziD_Yv_CagCnw7ATz3VvVnYpXVfi3_jn3eWPSW0k4r_Bj0IqXc</recordid><startdate>20201001</startdate><enddate>20201001</enddate><creator>Steenbeke, Mieke</creator><creator>De Bruyne, Sander</creator><creator>Boelens, Jerina</creator><creator>Oyaert, Matthijs</creator><creator>Glorieux, Griet</creator><creator>Van Biesen, Wim</creator><creator>Linjala, Jere</creator><creator>Delanghe, Joris R.</creator><creator>Speeckaert, Marijn M.</creator><general>De Gruyter</general><general>Walter De Gruyter & Company</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QO</scope><scope>7T7</scope><scope>7TK</scope><scope>7U7</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2731-7545</orcidid></search><sort><creationdate>20201001</creationdate><title>Exploring the possibilities of infrared spectroscopy for urine sediment examination and detection of pathogenic bacteria in urinary tract infections</title><author>Steenbeke, Mieke ; De Bruyne, Sander ; Boelens, Jerina ; Oyaert, Matthijs ; Glorieux, Griet ; Van Biesen, Wim ; Linjala, Jere ; Delanghe, Joris R. ; Speeckaert, Marijn M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c455t-fb75f1f9bb391bd1cf5c5ff9b3d4560448ef9b27e44aa9e058766dd48850dc4c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Bacteria</topic><topic>Carbohydrates</topic><topic>Crystals</topic><topic>Data analysis</topic><topic>Drying</topic><topic>Erythrocytes</topic><topic>Fourier transforms</topic><topic>Fourier-transformed infrared spectroscopy</topic><topic>Infrared analysis</topic><topic>Infrared spectra</topic><topic>Infrared spectroscopy</topic><topic>Ionization</topic><topic>Ions</topic><topic>Lipids</topic><topic>Mass spectrometry</topic><topic>Mass spectroscopy</topic><topic>Nucleic acids</topic><topic>Principal components analysis</topic><topic>Proteins</topic><topic>Sediments</topic><topic>soft independent modelling of class analogy</topic><topic>Species classification</topic><topic>Spectroscopic analysis</topic><topic>Urinary tract</topic><topic>Urinary tract diseases</topic><topic>Urinary tract infections</topic><topic>Urine</topic><topic>urine sediments</topic><topic>Urogenital system</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><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><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Neurosciences Abstracts</collection><collection>Toxicology Abstracts</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Clinical chemistry and laboratory medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Steenbeke, Mieke</au><au>De Bruyne, Sander</au><au>Boelens, Jerina</au><au>Oyaert, Matthijs</au><au>Glorieux, Griet</au><au>Van Biesen, Wim</au><au>Linjala, Jere</au><au>Delanghe, Joris R.</au><au>Speeckaert, Marijn M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Exploring the possibilities of infrared spectroscopy for urine sediment examination and detection of pathogenic bacteria in urinary tract infections</atitle><jtitle>Clinical chemistry and laboratory medicine</jtitle><addtitle>Clin Chem Lab Med</addtitle><date>2020-10-01</date><risdate>2020</risdate><volume>58</volume><issue>10</issue><spage>1759</spage><epage>1767</epage><pages>1759-1767</pages><issn>1434-6621</issn><eissn>1437-4331</eissn><abstract>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.</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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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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