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Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy
Urinary tract infections (UTIs) are the most common outpatient infections. Obtaining the concentration of live pathogens in the sample is crucial for the treatment. Still, the enumeration depends on urine culture and plate counting, which requires days of turn-around time (TAT). Single-cell Raman sp...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076591/ https://www.ncbi.nlm.nih.gov/pubmed/37032883 http://dx.doi.org/10.3389/fmicb.2023.1144607 |
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author | Wang, Jingkai Kong, Kang Guo, Chen Yin, Guangyao Meng, Siyu Lan, Lu Luo, Liqiang Song, Yizhi |
author_facet | Wang, Jingkai Kong, Kang Guo, Chen Yin, Guangyao Meng, Siyu Lan, Lu Luo, Liqiang Song, Yizhi |
author_sort | Wang, Jingkai |
collection | PubMed |
description | Urinary tract infections (UTIs) are the most common outpatient infections. Obtaining the concentration of live pathogens in the sample is crucial for the treatment. Still, the enumeration depends on urine culture and plate counting, which requires days of turn-around time (TAT). Single-cell Raman spectra combined with deuterium isotope probing (Raman-DIP) has been proven to identify the metabolic-active bacteria with high accuracy but is not able to reveal the number of live pathogens due to bacteria replication during the Raman-DIP process. In this study, we established a new approach of using sodium acetate to inhibit the replication of the pathogen and applying Raman-DIP to identify the active single cells. By combining microscopic image stitching and recognition, we could further improve the efficiency of the new method. Validation of the new method on nine artificial urine samples indicated that the exact number of live pathogens obtained with Raman-DIP is consistent with plate-counting while shortening the TAT from 18 h to within 3 h, and the potential of applying Raman-DIP for pathogen enumeration in clinics is promising. |
format | Online Article Text |
id | pubmed-10076591 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-100765912023-04-07 Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy Wang, Jingkai Kong, Kang Guo, Chen Yin, Guangyao Meng, Siyu Lan, Lu Luo, Liqiang Song, Yizhi Front Microbiol Microbiology Urinary tract infections (UTIs) are the most common outpatient infections. Obtaining the concentration of live pathogens in the sample is crucial for the treatment. Still, the enumeration depends on urine culture and plate counting, which requires days of turn-around time (TAT). Single-cell Raman spectra combined with deuterium isotope probing (Raman-DIP) has been proven to identify the metabolic-active bacteria with high accuracy but is not able to reveal the number of live pathogens due to bacteria replication during the Raman-DIP process. In this study, we established a new approach of using sodium acetate to inhibit the replication of the pathogen and applying Raman-DIP to identify the active single cells. By combining microscopic image stitching and recognition, we could further improve the efficiency of the new method. Validation of the new method on nine artificial urine samples indicated that the exact number of live pathogens obtained with Raman-DIP is consistent with plate-counting while shortening the TAT from 18 h to within 3 h, and the potential of applying Raman-DIP for pathogen enumeration in clinics is promising. Frontiers Media S.A. 2023-03-23 /pmc/articles/PMC10076591/ /pubmed/37032883 http://dx.doi.org/10.3389/fmicb.2023.1144607 Text en Copyright © 2023 Wang, Kong, Guo, Yin, Meng, Lan, Luo and Song. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Wang, Jingkai Kong, Kang Guo, Chen Yin, Guangyao Meng, Siyu Lan, Lu Luo, Liqiang Song, Yizhi Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy |
title | Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy |
title_full | Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy |
title_fullStr | Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy |
title_full_unstemmed | Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy |
title_short | Cultureless enumeration of live bacteria in urinary tract infection by single-cell Raman spectroscopy |
title_sort | cultureless enumeration of live bacteria in urinary tract infection by single-cell raman spectroscopy |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076591/ https://www.ncbi.nlm.nih.gov/pubmed/37032883 http://dx.doi.org/10.3389/fmicb.2023.1144607 |
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