1
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McGalliard R, Muhamadali H, AlMasoud N, Haldenby S, Romero-Soriano V, Allman E, Xu Y, Roberts AP, Paterson S, Carrol ED, Goodacre R. Bacterial discrimination by Fourier transform infrared spectroscopy, MALDI-mass spectrometry and whole-genome sequencing. Future Microbiol 2024. [PMID: 38652264 DOI: 10.2217/fmb-2024-0043] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/25/2024] Open
Abstract
Aim: Proof-of-concept study, highlighting the clinical diagnostic ability of FT-IR compared with MALDI-TOF MS, combined with WGS. Materials & methods: 104 pathogenic isolates of Neisseria meningitidis, Streptococcus pneumoniae, Streptococcus pyogenes and Staphylococcus aureus were analyzed. Results: Overall prediction accuracy was 99.6% in FT-IR and 95.8% in MALDI-TOF-MS. Analysis of N. meningitidis serogroups was superior in FT-IR compared with MALDI-TOF-MS. Phylogenetic relationship of S. pyogenes was similar by FT-IR and WGS, but not S. aureus or S. pneumoniae. Clinical severity was associated with the zinc ABC transporter and DNA repair genes in S. pneumoniae and cell wall proteins (biofilm formation, antibiotic and complement permeability) in S. aureus via WGS. Conclusion: FT-IR warrants further clinical evaluation as a promising diagnostic tool.
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Affiliation(s)
- Rachel McGalliard
- Department of Clinical Infection, Microbiology & Immunology, University of Liverpool Institute of Infection, Veterinary & Ecological Sciences, Ronald Ross Building, 8 West Derby Street, Liverpool, UK
- Department of Infectious Diseases, Alder Hey Children's NHS Foundation Trust, Eaton Road, Liverpool, UK
| | - Howbeer Muhamadali
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- center for Metabolomics Research, Department of Biochemistry, Cell & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, UK
| | - Najla AlMasoud
- College of Science, Princess Nourah Bint Abdulrahman University, Department of Chemistry, Riyadh, 11671, Saudi Arabia
| | - Sam Haldenby
- center for Genomic Research, University of Liverpool, Mersey Bio Building, Crown Street, Liverpool, UK
| | - Valeria Romero-Soriano
- center for Genomic Research, University of Liverpool, Mersey Bio Building, Crown Street, Liverpool, UK
| | - Ellie Allman
- Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Yun Xu
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- center for Metabolomics Research, Department of Biochemistry, Cell & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, UK
| | - Adam P Roberts
- Department of Tropical Disease Biology, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Steve Paterson
- center for Genomic Research, University of Liverpool, Mersey Bio Building, Crown Street, Liverpool, UK
| | - Enitan D Carrol
- Department of Clinical Infection, Microbiology & Immunology, University of Liverpool Institute of Infection, Veterinary & Ecological Sciences, Ronald Ross Building, 8 West Derby Street, Liverpool, UK
- Department of Infectious Diseases, Alder Hey Children's NHS Foundation Trust, Eaton Road, Liverpool, UK
| | - Royston Goodacre
- School of Chemistry, Manchester Institute of Biotechnology, University of Manchester, Manchester, UK
- center for Metabolomics Research, Department of Biochemistry, Cell & Systems Biology, Institute of Systems, Molecular & Integrative Biology, University of Liverpool, Biosciences Building, Crown Street, Liverpool, UK
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2
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Detection of emetic Bacillus cereus and the emetic toxin cereulide in food matrices: Progress and perspectives. Trends Food Sci Technol 2022. [DOI: 10.1016/j.tifs.2022.03.023] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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3
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Han G, Lin Q, Yi J, Lyu Q, Ma Q, Qiao L. Isothermal gene amplification coupled MALDI-TOF MS for SARS-CoV-2 detection. Talanta 2022; 242:123297. [PMID: 35151081 PMCID: PMC8821030 DOI: 10.1016/j.talanta.2022.123297] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Revised: 01/28/2022] [Accepted: 02/04/2022] [Indexed: 12/16/2022]
Abstract
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been spreading worldwide for more than a year and has undergone several mutations and evolutions. Due to the lack of effective therapeutics and long-active vaccines, accurate and large-scale screening and early diagnosis of infected individuals are crucial to control the pandemic. Nevertheless, the current widely used RT-qPCR-based methods suffer from complicated temperature control, long processing time and the risk of false-negative results. Herein, we present a three-way junction induced exponential rolling circle amplification (3WJ-eRCA) combined MALDI-TOF MS assay for SARS-CoV-2 detection. The assay can detect simultaneously the target nucleocapsid (N) and open reading frame 1 ab (orf1ab) genes of SARS-CoV-2 in a single test within 30 min, with an isothermal process (55 °C). High specificity to discriminate SARS-CoV-2 from other coronaviruses, like SARS-CoV, MERS-CoV and bat SARS-like coronavirus (bat-SL-CoVZC45), was observed. We have further used the method to detect pseudovirus of SARS-CoV-2 in various matrices, e.g. water, saliva and urine. The results demonstrated a great potential of the method for large scale screening of COVID-19, which is an important part of the pandemic control.
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4
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Moumanis K, Sirbu L, Hassen WM, Frost E, de Carvalho LR, Hiernaux P, Dubowski JJ. Water Sampling Module for Collecting and Concentrating Legionella pneumophila from Low-to-Medium Contaminated Environment. BIOSENSORS 2021; 11:34. [PMID: 33513950 PMCID: PMC7910891 DOI: 10.3390/bios11020034] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Revised: 01/18/2021] [Accepted: 01/22/2021] [Indexed: 11/17/2022]
Abstract
The detection of water contamination with Legionella pneumophila is of critical importance to manufacturers of water processing equipment and public health entities dealing with water networks and distribution systems. Detection methods based on polymerase chain reaction or biosensor technologies require preconcentration steps to achieve attractive sensitivity levels. Preconcentration must also be included in protocols of automated collection of water samples by systems designed for quasi-continuous monitoring of remotely located water reservoirs for the presence of L. pneumophila. We designed and characterized a water sampling module for filtration and backwashing intended for analysis of low-to-medium contaminated water, typically with L. pneumophila bacteria not exceeding 50 colony-forming units per milliliter. The concentration factors of 10× and 21× were achieved with 0.22 and 0.45 µm filters, respectively, for samples of bacteria prepared in clean saline solutions. However, a 5× concentration factor was achieved with 0.45 µm filters for a heavily contaminated or turbid water typical of some industrial water samples.
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Affiliation(s)
- Khalid Moumanis
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
| | - Lilian Sirbu
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
| | - Walid Mohamed Hassen
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
| | - Eric Frost
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Microbiology and Infectiology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, 3001, 12th Avenue North, QC J1K 0A5, Canada
| | | | - Pierre Hiernaux
- Produits Chimiques Magnus Limitée, 1271, rue Ampère, Boucherville, QC J4B 5Z5, Canada; (L.R.d.C.); (P.H.)
| | - Jan Jerzy Dubowski
- Laboratory for Quantum Semiconductors and Photon-Based BioNanotechnology, Interdisciplinary Institute for Technological Innovation (3IT), CNRS UMI-3463, Université de Sherbrooke, 3000 boul. de l’Université, Sherbrooke, QC J1K 0A5, Canada; (L.S.); (W.M.H.); (E.F.)
- Department of Electrical and Computer Engineering, Faculty of Engineering, Université de Sherbrooke, 2500 boul. de l’Université, Sherbrooke, QC J1K 2R1, Canada
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5
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Lasch P, Schneider A, Blumenscheit C, Doellinger J. Identification of Microorganisms by Liquid Chromatography-Mass Spectrometry (LC-MS 1) and in Silico Peptide Mass Libraries. Mol Cell Proteomics 2020; 19:2125-2139. [PMID: 32998977 PMCID: PMC7710138 DOI: 10.1074/mcp.tir120.002061] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 09/21/2020] [Indexed: 01/03/2023] Open
Abstract
Over the past decade, modern methods of MS (MS) have emerged that allow reliable, fast and cost-effective identification of pathogenic microorganisms. Although MALDI-TOF MS has already revolutionized the way microorganisms are identified, recent years have witnessed also substantial progress in the development of liquid chromatography (LC)-MS based proteomics for microbiological applications. For example, LC-tandem MS (LC-MS2) has been proposed for microbial characterization by means of multiple discriminative peptides that enable identification at the species, or sometimes at the strain level. However, such investigations can be laborious and time-consuming, especially if the experimental LC-MS2 data are tested against sequence databases covering a broad panel of different microbiological taxa. In this proof of concept study, we present an alternative bottom-up proteomics method for microbial identification. The proposed approach involves efficient extraction of proteins from cultivated microbial cells, digestion by trypsin and LC-MS measurements. Peptide masses are then extracted from MS1 data and systematically tested against an in silico library of all possible peptide mass data compiled in-house. The library has been computed from the UniProt Knowledgebase covering Swiss-Prot and TrEMBL databases and comprises more than 12,000 strain-specific in silico profiles, each containing tens of thousands of peptide mass entries. Identification analysis involves computation of score values derived from correlation coefficients between experimental and strain-specific in silico peptide mass profiles and compilation of score ranking lists. The taxonomic positions of the microbial samples are then determined by using the best-matching database entries. The suggested method is computationally efficient - less than 2 mins per sample - and has been successfully tested by a test set of 39 LC-MS1 peak lists obtained from 19 different microbial pathogens. The proposed method is rapid, simple and automatable and we foresee wide application potential for future microbiological applications.
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Affiliation(s)
- Peter Lasch
- Robert Koch-Institute, ZBS6, Proteomics and Spectroscopy, Berlin, Germany.
| | - Andy Schneider
- Robert Koch-Institute, ZBS6, Proteomics and Spectroscopy, Berlin, Germany
| | | | - Joerg Doellinger
- Robert Koch-Institute, ZBS6, Proteomics and Spectroscopy, Berlin, Germany
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6
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Review on matrix-assisted laser desorption/ionization time-of-flight mass spectrometry for the rapid screening of microbial species: A promising bioanalytical tool. Microchem J 2020. [DOI: 10.1016/j.microc.2020.105387] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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7
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Radmehr B, Zaferanloo B, Tran T, Beale DJ, Palombo EA. Prevalence and Characteristics of Bacillus cereus Group Isolated from Raw and Pasteurised Milk. Curr Microbiol 2020; 77:3065-3075. [PMID: 32696237 DOI: 10.1007/s00284-020-02129-6] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2020] [Accepted: 07/11/2020] [Indexed: 12/12/2022]
Abstract
The elimination of spore-forming bacteria is not guaranteed by current pasteurisation processes and is a challenging problem for the dairy industry. Given that Bacillus cereus sensu lato (B. cereus group) is an important foodborne pathogen and spoiler in the dairy industry, this study aimed at evaluating the prevalence and characteristics of B. cereus group in raw and pasteurised milk samples collected in Victoria, Australia. Isolated B. cereus group were tested for antimicrobial susceptibility, biofilm formation and virulence properties. Genetic diversity was assessed using ERIC-PCR. Proteomic profiling using MALDI-TOF MS and chemical profiling using Fourier-transform infrared (FTIR) spectroscopy were also applied for clustering of the isolates. Results showed 42.3% of milk samples contained B. cereus group, with a higher contamination level for pasteurised milk. Virulence studies identified genes nheA, nheB, hblA and nheC in most isolates and cyk gene in 46% of all isolates. Antimicrobial susceptibility testing showed a high prevalence of resistance towards ampicillin, ceftriaxone and penicillin. The biofilm-forming capacity of our isolates showed that most (53.7%) had the ability to form a biofilm. Genetic profiling using ERIC-PCR placed most B. cereus group isolates from pasteurised milk in the same cluster, indicating that they probably originated from a similar source. Raw milk isolates showed greater diversity indicating various sources. FTIR spectroscopy showed high agreement with genetic profiling. In contrast, low agreement between proteomic (MALDI-TOF MS) and genetic typing was observed. The present study showed that the FTIR spectroscopy could be adopted as a rapid tool for the typing of B. cereus group. Overall, the virulence and antimicrobial resistance characteristics, together with the ability of isolates to produce biofilm, indicate the importance of B. cereus group in the Australian dairy industry.
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Affiliation(s)
- Behrad Radmehr
- Department of Chemistry and Biotechnology, Swinburne University of Technology, Hawthorn, VIC, 3122, Australia
| | - Bita Zaferanloo
- Department of Chemistry and Biotechnology, Swinburne University of Technology, Hawthorn, VIC, 3122, Australia
| | - Thien Tran
- Bruker Pty Ltd, Preston, VIC, 3072, Australia
| | - David J Beale
- Land and Water, Commonwealth Scientific and Industrial Research Organisation (CSIRO), Ecosciences Precinct, Dutton Park, QLD, 4102, Australia
| | - Enzo A Palombo
- Department of Chemistry and Biotechnology, Swinburne University of Technology, Hawthorn, VIC, 3122, Australia.
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8
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Chisanga M, Linton D, Muhamadali H, Ellis DI, Kimber RL, Mironov A, Goodacre R. Rapid differentiation of Campylobacter jejuni cell wall mutants using Raman spectroscopy, SERS and mass spectrometry combined with chemometrics. Analyst 2020; 145:1236-1249. [DOI: 10.1039/c9an02026h] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
SERS was developed for intercellular and intracellular analyses. Using a series of cell wall mutants in C. jejuni we show cell wall versus cytoplasm differences.
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Affiliation(s)
- Malama Chisanga
- School of Chemistry
- Manchester Institute of Biotechnology
- University of Manchester
- Manchester
- UK
| | - Dennis Linton
- School of Biological Sciences
- Faculty of Biology
- Medicine and Health
- University of Manchester
- Manchester
| | - Howbeer Muhamadali
- Department of Biochemistry
- Institute of Integrative Biology
- University of Liverpool
- Liverpool
- UK
| | - David I. Ellis
- School of Chemistry
- Manchester Institute of Biotechnology
- University of Manchester
- Manchester
- UK
| | - Richard L. Kimber
- Department of Earth and Environmental Sciences
- University of Manchester
- Manchester
- UK
| | - Aleksandr Mironov
- EM Core Facility
- Faculty of Biology
- Medicine and Health
- University of Manchester
- Manchester
| | - Royston Goodacre
- Department of Biochemistry
- Institute of Integrative Biology
- University of Liverpool
- Liverpool
- UK
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9
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Wang L, Zou Y, Kaw HY, Wang G, Sun H, Cai L, Li C, Meng LY, Li D. Recent developments and emerging trends of mass spectrometric methods in plant hormone analysis: a review. PLANT METHODS 2020; 16:54. [PMID: 32322293 PMCID: PMC7161177 DOI: 10.1186/s13007-020-00595-4] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/16/2018] [Accepted: 04/04/2020] [Indexed: 05/18/2023]
Abstract
Plant hormones are naturally occurring small molecule compounds which are present at trace amounts in plant. They play a pivotal role in the regulation of plant growth. The biological activity of plant hormones depends on their concentrations in the plant, thus, accurate determination of plant hormone is paramount. However, the complex plant matrix, wide polarity range and low concentration of plant hormones are the main hindrances to effective analyses of plant hormone even when state-of-the-art analytical techniques are employed. These factors substantially influence the accuracy of analytical results. So far, significant progress has been realized in the analysis of plant hormones, particularly in sample pretreatment techniques and mass spectrometric methods. This review describes the classic extraction and modern microextraction techniques used to analyze plant hormone. Advancements in solid phase microextraction (SPME) methods have been driven by the ever-increasing requirement for dynamic and in vivo identification of the spatial distribution of plant hormones in real-life plant samples, which would contribute greatly to the burgeoning field of plant hormone investigation. In this review, we describe advances in various aspects of mass spectrometry methods. Many fragmentation patterns are analyzed to provide the theoretical basis for the establishment of a mass spectral database for the analysis of plant hormones. We hope to provide a technical guide for further discovery of new plant hormones. More than 140 research studies on plant hormone published in the past decade are reviewed, with a particular emphasis on the recent advances in mass spectrometry and sample pretreatment techniques in the analysis of plant hormone. The potential progress for further research in plant hormones analysis is also highlighted.
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Affiliation(s)
- Liyuan Wang
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
| | - Yilin Zou
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
| | - Han Yeong Kaw
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
| | - Gang Wang
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
| | - Huaze Sun
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
| | - Long Cai
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
| | - Chengyu Li
- State Key Laboratory of Application of Rare Earth Resources, Changchun Institute of Applied Chemistry, Chinese Academy of Sciences, Changchun, 130022 China
| | - Long-Yue Meng
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
- Department of Environmental Science, Yanbian University, Yanji, 133002 China
| | - Donghao Li
- Department of Chemistry, MOE Key Laboratory of Biological Resources of the Changbai Mountain and Functional Molecules, Yanbian University, Park Road 977, Yanji, 133002 China
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Hameed S, Xie L, Ying Y. Conventional and emerging detection techniques for pathogenic bacteria in food science: A review. Trends Food Sci Technol 2018. [DOI: 10.1016/j.tifs.2018.05.020] [Citation(s) in RCA: 124] [Impact Index Per Article: 20.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
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11
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Microbial Diversity: The Gap between the Estimated and the Known. DIVERSITY-BASEL 2018. [DOI: 10.3390/d10020046] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
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12
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van Belkum A, Welker M, Pincus D, Charrier JP, Girard V. Matrix-Assisted Laser Desorption Ionization Time-of-Flight Mass Spectrometry in Clinical Microbiology: What Are the Current Issues? Ann Lab Med 2018; 37:475-483. [PMID: 28840984 PMCID: PMC5587819 DOI: 10.3343/alm.2017.37.6.475] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2017] [Revised: 06/20/2017] [Accepted: 07/25/2017] [Indexed: 12/12/2022] Open
Abstract
Matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) has revolutionized the identification of microbial species in clinical microbiology laboratories. MALDI-TOF-MS has swiftly become the new gold-standard method owing to its key advantages of simplicity and robustness. However, as with all new methods, adoption of the MALDI-TOF MS approach is still not widespread. Optimal sample preparation has not yet been achieved for several applications, and there are continuing discussions on the need for improved database quality and the inclusion of additional microbial species. New applications such as in the field of antimicrobial susceptibility testing have been proposed but not yet translated to the level of ease and reproducibility that one should expect in routine diagnostic systems. Finally, during routine identification testing, unexpected results are regularly obtained, and the best methods for transmitting these results into clinical care are still evolving. We here discuss the success of MALDI-TOF MS in clinical microbiology and highlight fields of application that are still amenable to improvement.
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Affiliation(s)
- Alex van Belkum
- Scientific Office, bioMérieux, La Balme Les Grottes, France.
| | - Martin Welker
- Scientific Office, bioMérieux, La Balme Les Grottes, France
| | - David Pincus
- Scientific Office, bioMérieux, La Balme Les Grottes, France
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13
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Chang KC, Chung CY, Yeh CH, Hsu KH, Chin YC, Huang SS, Liu BR, Chen HA, Hu A, Soo PC, Peng WP. Direct detection of carbapenemase-associated proteins of Acinetobacter baumannii using nanodiamonds coupled with matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. J Microbiol Methods 2018; 147:36-42. [PMID: 29499232 DOI: 10.1016/j.mimet.2018.02.014] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 02/26/2018] [Accepted: 02/26/2018] [Indexed: 12/25/2022]
Abstract
The appearance and spread of carbapenem-resistant Acinetobacter baumannii (CRAB) pose a challenge for optimization of antibiotic therapies and outbreak preventions. The carbapenemase production can be detected through culture-based methods (e.g. Modified Hodge Test-MHT) and DNA based methods (e.g. Polymerase Chain Reaction-PCR). The culture-based methods are time-consuming, whereas those of PCR assays need only a few hours but due to its specificity, can only detect known genetic targets encoding carbapenem-resistance genes. Therefore, new approaches to detect carbapenemase-producing A. baumannii are of great importance. Here, we have developed a rapid and novel method using detonation nanodiamonds (DNDs) as a platform for concentration and extraction of A. baumannii carbapenemase-associated proteins prior to matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI TOF-MS) analysis. To concentrate and extract the A. baumannii carbapenemase-associated proteins, we tested several protein precipitation conditions and found a 0.5% trifluoroacetic acid (TFA) solution within the bacterial suspension could result in strong ion signals with DNDs. A total of 66 A. baumannii clinical-isolates including 51 carbapenem-resistant strains and 15 carbapenem-susceptible strains were tested. Our result showed that among the 51 carbapenem-resistant strains 49 strains had a signal at m/z ~40,279 (±87); among the 15 carbapenem-susceptible strains, 4 strains showed a signal at m/z ~40,279. With on-diamond digestion, we confirmed that the captured protein at m/z ~40,279 was related to ADC family extended-spectrum class C beta-lactamase, from A. baumannii. Using this ADC family protein as a biomarker (m/z ~ 40,279) for carbapenem susceptibility testing of A. baumannii, the sensitivity and the specificity could reach 96% and 73% as compared to traditional imipenem susceptibility testing (MIC results). However, the sensitivity and specificity of this method reached 100% as compared to polymerase chain reaction (PCR) result. Our approach could directly detect the carbapenemase-associated proteins of A. baumannii within 90 min and does not require addition of carbapenemase substrate which is required in the MHT or other mass spectrometric methods. For future applications, our method could be efficiently used in the detection of other carbapenemase-producing bacteria.
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Affiliation(s)
- Kai-Chih Chang
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan; Department of Laboratory Medicine, Buddhist Tzu Chi General Hospital, Hualien, Taiwan
| | - Chin-Yi Chung
- Department of Physics, National Dong Hwa University, Hualien, Taiwan
| | - Chen-Hsing Yeh
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan
| | - Kuo-Hsiu Hsu
- Department of Physics, National Dong Hwa University, Hualien, Taiwan
| | - Ya-Ching Chin
- Department of Physics, National Dong Hwa University, Hualien, Taiwan
| | - Sin-Siang Huang
- Department of Physics, National Dong Hwa University, Hualien, Taiwan
| | - Bo-Rong Liu
- Department of Physics, National Dong Hwa University, Hualien, Taiwan
| | - Hsi-An Chen
- Department of Physics, National Dong Hwa University, Hualien, Taiwan
| | - Anren Hu
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan
| | - Po-Chi Soo
- Department of Laboratory Medicine and Biotechnology, Tzu Chi University, Hualien, Taiwan
| | - Wen-Ping Peng
- Department of Physics, National Dong Hwa University, Hualien, Taiwan.
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14
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Quintelas C, Ferreira EC, Lopes JA, Sousa C. An Overview of the Evolution of Infrared Spectroscopy Applied to Bacterial Typing. Biotechnol J 2017; 13. [DOI: 10.1002/biot.201700449] [Citation(s) in RCA: 54] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2017] [Revised: 10/18/2017] [Indexed: 11/10/2022]
Affiliation(s)
- Cristina Quintelas
- Dr. C. Quintelas, Dr. E. C. Ferreira; CEB − Centro de Engenharia Biológica; Universidade do Minho; Braga Portugal
| | - Eugénio C. Ferreira
- Dr. C. Quintelas, Dr. E. C. Ferreira; CEB − Centro de Engenharia Biológica; Universidade do Minho; Braga Portugal
| | - João A. Lopes
- Dr. J. A. Lopes; Research Institute for Medicines (iMed.ULisboa); Faculdade de Farmácia; Universidade de Lisboa; Lisboa Portugal
| | - Clara Sousa
- Dr. C. Sousa; LAQV/REQUIMTE; Departamento de Ciências Químicas Faculdade de Farmácia; Universidade do Porto; Rua Jorge Viterbo Ferreira, 228 4050-313 Porto Portugal
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15
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Organic matrices, ionic liquids, and organic matrices@nanoparticles assisted laser desorption/ionization mass spectrometry. Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.01.012] [Citation(s) in RCA: 58] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
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