Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in Blood

Bloodstream infections (BSIs), the presence of microorganisms in blood, are potentially serious conditions that can quickly develop into sepsis and life-threatening situations. When assessing proper treatment, rapid diagnosis is the key; besides clinical judgement performed by attending physicians,...

Full description

Bibliographic Details
Main Authors: Nahid Kondori, Amra Kurtovic, Beatriz Piñeiro-Iglesias, Francisco Salvà-Serra, Daniel Jaén-Luchoro, Björn Andersson, Gelio Alves, Aleksey Ogurtsov, Annika Thorsell, Johannes Fuchs, Timur Tunovic, Nina Kamenska, Anders Karlsson, Yi-Kuo Yu, Edward R. B. Moore, Roger Karlsson
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-07-01
Series:Frontiers in Cellular and Infection Microbiology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fcimb.2021.634215/full
id doaj-bd737f0c29ee4ee58af47563e061cd86
record_format Article
collection DOAJ
language English
format Article
sources DOAJ
author Nahid Kondori
Nahid Kondori
Amra Kurtovic
Beatriz Piñeiro-Iglesias
Francisco Salvà-Serra
Francisco Salvà-Serra
Francisco Salvà-Serra
Francisco Salvà-Serra
Daniel Jaén-Luchoro
Daniel Jaén-Luchoro
Björn Andersson
Gelio Alves
Aleksey Ogurtsov
Annika Thorsell
Johannes Fuchs
Timur Tunovic
Nina Kamenska
Anders Karlsson
Yi-Kuo Yu
Edward R. B. Moore
Edward R. B. Moore
Edward R. B. Moore
Roger Karlsson
Roger Karlsson
Roger Karlsson
spellingShingle Nahid Kondori
Nahid Kondori
Amra Kurtovic
Beatriz Piñeiro-Iglesias
Francisco Salvà-Serra
Francisco Salvà-Serra
Francisco Salvà-Serra
Francisco Salvà-Serra
Daniel Jaén-Luchoro
Daniel Jaén-Luchoro
Björn Andersson
Gelio Alves
Aleksey Ogurtsov
Annika Thorsell
Johannes Fuchs
Timur Tunovic
Nina Kamenska
Anders Karlsson
Yi-Kuo Yu
Edward R. B. Moore
Edward R. B. Moore
Edward R. B. Moore
Roger Karlsson
Roger Karlsson
Roger Karlsson
Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in Blood
Frontiers in Cellular and Infection Microbiology
blood-stream infections
proteotyping
MALDI-TOF MS
proteomics
bacteremia
fungemia
author_facet Nahid Kondori
Nahid Kondori
Amra Kurtovic
Beatriz Piñeiro-Iglesias
Francisco Salvà-Serra
Francisco Salvà-Serra
Francisco Salvà-Serra
Francisco Salvà-Serra
Daniel Jaén-Luchoro
Daniel Jaén-Luchoro
Björn Andersson
Gelio Alves
Aleksey Ogurtsov
Annika Thorsell
Johannes Fuchs
Timur Tunovic
Nina Kamenska
Anders Karlsson
Yi-Kuo Yu
Edward R. B. Moore
Edward R. B. Moore
Edward R. B. Moore
Roger Karlsson
Roger Karlsson
Roger Karlsson
author_sort Nahid Kondori
title Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in Blood
title_short Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in Blood
title_full Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in Blood
title_fullStr Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in Blood
title_full_unstemmed Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in Blood
title_sort mass spectrometry proteotyping-based detection and identification of staphylococcus aureus, escherichia coli, and candida albicans in blood
publisher Frontiers Media S.A.
series Frontiers in Cellular and Infection Microbiology
issn 2235-2988
publishDate 2021-07-01
description Bloodstream infections (BSIs), the presence of microorganisms in blood, are potentially serious conditions that can quickly develop into sepsis and life-threatening situations. When assessing proper treatment, rapid diagnosis is the key; besides clinical judgement performed by attending physicians, supporting microbiological tests typically are performed, often requiring microbial isolation and culturing steps, which increases the time required for confirming positive cases of BSI. The additional waiting time forces physicians to prescribe broad-spectrum antibiotics and empirically based treatments, before determining the precise cause of the disease. Thus, alternative and more rapid cultivation-independent methods are needed to improve clinical diagnostics, supporting prompt and accurate treatment and reducing the development of antibiotic resistance. In this study, a culture-independent workflow for pathogen detection and identification in blood samples was developed, using peptide biomarkers and applying bottom-up proteomics analyses, i.e., so-called “proteotyping”. To demonstrate the feasibility of detection of blood infectious pathogens, using proteotyping, Escherichia coli and Staphylococcus aureus were included in the study, as the most prominent bacterial causes of bacteremia and sepsis, as well as Candida albicans, one of the most prominent causes of fungemia. Model systems including spiked negative blood samples, as well as positive blood cultures, without further culturing steps, were investigated. Furthermore, an experiment designed to determine the incubation time needed for correct identification of the infectious pathogens in blood cultures was performed. The results for the spiked negative blood samples showed that proteotyping was 100- to 1,000-fold more sensitive, in comparison with the MALDI-TOF MS-based approach. Furthermore, in the analyses of ten positive blood cultures each of E. coli and S. aureus, both the MALDI-TOF MS-based and proteotyping approaches were successful in the identification of E. coli, although only proteotyping could identify S. aureus correctly in all samples. Compared with the MALDI-TOF MS-based approaches, shotgun proteotyping demonstrated higher sensitivity and accuracy, and required significantly shorter incubation time before detection and identification of the correct pathogen could be accomplished.
topic blood-stream infections
proteotyping
MALDI-TOF MS
proteomics
bacteremia
fungemia
url https://www.frontiersin.org/articles/10.3389/fcimb.2021.634215/full
work_keys_str_mv AT nahidkondori massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT nahidkondori massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT amrakurtovic massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT beatrizpineiroiglesias massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT franciscosalvaserra massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT franciscosalvaserra massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT franciscosalvaserra massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT franciscosalvaserra massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT danieljaenluchoro massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT danieljaenluchoro massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT bjornandersson massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT gelioalves massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT alekseyogurtsov massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT annikathorsell massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT johannesfuchs massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT timurtunovic massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT ninakamenska massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT anderskarlsson massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT yikuoyu massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT edwardrbmoore massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT edwardrbmoore massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT edwardrbmoore massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT rogerkarlsson massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT rogerkarlsson massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
AT rogerkarlsson massspectrometryproteotypingbaseddetectionandidentificationofstaphylococcusaureusescherichiacoliandcandidaalbicansinblood
_version_ 1721281118506844160
spelling doaj-bd737f0c29ee4ee58af47563e061cd862021-07-26T12:59:41ZengFrontiers Media S.A.Frontiers in Cellular and Infection Microbiology2235-29882021-07-011110.3389/fcimb.2021.634215634215Mass Spectrometry Proteotyping-Based Detection and Identification of Staphylococcus aureus, Escherichia coli, and Candida albicans in BloodNahid Kondori0Nahid Kondori1Amra Kurtovic2Beatriz Piñeiro-Iglesias3Francisco Salvà-Serra4Francisco Salvà-Serra5Francisco Salvà-Serra6Francisco Salvà-Serra7Daniel Jaén-Luchoro8Daniel Jaén-Luchoro9Björn Andersson10Gelio Alves11Aleksey Ogurtsov12Annika Thorsell13Johannes Fuchs14Timur Tunovic15Nina Kamenska16Anders Karlsson17Yi-Kuo Yu18Edward R. B. Moore19Edward R. B. Moore20Edward R. B. Moore21Roger Karlsson22Roger Karlsson23Roger Karlsson24Department of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, SwedenDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, SwedenDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, SwedenDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, SwedenCulture Collection University of Gothenburg (CCUG), Sahlgrenska Academy of the University of Gothenburg, Gothenburg, SwedenMicrobiology, Department of Biology, University of the Balearic Islands, Palma de Mallorca, SpainDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenCulture Collection University of Gothenburg (CCUG), Sahlgrenska Academy of the University of Gothenburg, Gothenburg, SwedenBioinformatics Core Facility at Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenNational Center for Biotechnology Information (NCBI), Bethesda, MD, United StatesNational Center for Biotechnology Information (NCBI), Bethesda, MD, United StatesProteomics Core Facility at Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenProteomics Core Facility at Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, SwedenNorra-Älvsborgs-Länssjukhus (NÄL), Trollhättan, SwedenNanoxis Consulting AB, Gothenburg, SwedenNational Center for Biotechnology Information (NCBI), Bethesda, MD, United StatesDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, SwedenCulture Collection University of Gothenburg (CCUG), Sahlgrenska Academy of the University of Gothenburg, Gothenburg, SwedenDepartment of Infectious Diseases, Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Clinical Microbiology, Sahlgrenska University Hospital, Gothenburg, SwedenNanoxis Consulting AB, Gothenburg, SwedenBloodstream infections (BSIs), the presence of microorganisms in blood, are potentially serious conditions that can quickly develop into sepsis and life-threatening situations. When assessing proper treatment, rapid diagnosis is the key; besides clinical judgement performed by attending physicians, supporting microbiological tests typically are performed, often requiring microbial isolation and culturing steps, which increases the time required for confirming positive cases of BSI. The additional waiting time forces physicians to prescribe broad-spectrum antibiotics and empirically based treatments, before determining the precise cause of the disease. Thus, alternative and more rapid cultivation-independent methods are needed to improve clinical diagnostics, supporting prompt and accurate treatment and reducing the development of antibiotic resistance. In this study, a culture-independent workflow for pathogen detection and identification in blood samples was developed, using peptide biomarkers and applying bottom-up proteomics analyses, i.e., so-called “proteotyping”. To demonstrate the feasibility of detection of blood infectious pathogens, using proteotyping, Escherichia coli and Staphylococcus aureus were included in the study, as the most prominent bacterial causes of bacteremia and sepsis, as well as Candida albicans, one of the most prominent causes of fungemia. Model systems including spiked negative blood samples, as well as positive blood cultures, without further culturing steps, were investigated. Furthermore, an experiment designed to determine the incubation time needed for correct identification of the infectious pathogens in blood cultures was performed. The results for the spiked negative blood samples showed that proteotyping was 100- to 1,000-fold more sensitive, in comparison with the MALDI-TOF MS-based approach. Furthermore, in the analyses of ten positive blood cultures each of E. coli and S. aureus, both the MALDI-TOF MS-based and proteotyping approaches were successful in the identification of E. coli, although only proteotyping could identify S. aureus correctly in all samples. Compared with the MALDI-TOF MS-based approaches, shotgun proteotyping demonstrated higher sensitivity and accuracy, and required significantly shorter incubation time before detection and identification of the correct pathogen could be accomplished.https://www.frontiersin.org/articles/10.3389/fcimb.2021.634215/fullblood-stream infectionsproteotypingMALDI-TOF MSproteomicsbacteremiafungemia