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Cafarella C, Mangraviti D, Rigano F, Dugo P, Mondello L. Rapid evaporative ionization mass spectrometry: A survey through 15 years of applications. J Sep Sci 2024; 47:e2400155. [PMID: 38772742 DOI: 10.1002/jssc.202400155] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 04/15/2024] [Accepted: 04/16/2024] [Indexed: 05/23/2024]
Abstract
Rapid evaporative ionization mass spectrometry (REIMS) is a relatively recent MS technique explored in many application fields, demonstrating high versatility in the detection of a wide range of chemicals, from small molecules (phenols, amino acids, di- and tripeptides, organic acids, and sugars) to larger biomolecules, that is, phospholipids and triacylglycerols. Different sampling devices were used depending on the analyzed matrix (liquid or solid), resulting in distinct performances in terms of automation, reproducibility, and sensitivity. The absence of laborious and time-consuming sample preparation procedures and chromatographic separations was highlighted as a major advantage compared to chromatographic methods. REIMS was successfully used to achieve a comprehensive sample profiling according to a metabolomics untargeted analysis. Moreover, when a multitude of samples were available, the combination with chemometrics allowed rapid sample differentiation and the identification of discriminant features. The present review aims to provide a survey of literature reports based on the use of such analytical technology, highlighting its mode of operation in different application areas, ranging from clinical research, mostly focused on cancer diagnosis for the accurate identification of tumor margins, to the agri-food sector aiming at the safeguard of food quality and security.
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Affiliation(s)
- Cinzia Cafarella
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy
| | - Domenica Mangraviti
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy
| | - Francesca Rigano
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy
| | - Paola Dugo
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Chromaleont s.r.l., former Veterinary School, University of Messina, Messina, Italy
| | - Luigi Mondello
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Messina Institute of Technology, former Veterinary School, University of Messina, Messina, Italy
- Department of Chemical, Biological, Pharmaceutical and Environmental Sciences, Chromaleont s.r.l., former Veterinary School, University of Messina, Messina, Italy
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2
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Bradley R, Simon D, Spiga L, Xiang Y, Takats Z, Williams H. Laser desorption rapid evaporative ionization mass spectrometry (LD-REIMS) demonstrates a direct impact of hypochlorous acid stress on PQS-mediated quorum sensing in Pseudomonas aeruginosa. mSystems 2024; 9:e0116523. [PMID: 38530056 PMCID: PMC11019781 DOI: 10.1128/msystems.01165-23] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Accepted: 02/26/2024] [Indexed: 03/27/2024] Open
Abstract
To establish infections in human hosts, Pseudomonas aeruginosa must overcome innate immune-generated oxidative stress, such as the hypochlorous acid (HOCl) produced by neutrophils. We set out to find specific biomarkers of oxidative stress through the development of a protocol for the metabolic profiling of P. aeruginosa cultures grown in the presence of different oxidants using a novel ionization technique for mass spectrometry, laser desorption rapid evaporative ionization mass spectrometry (LD-REIMS). We demonstrated the ability of LD-REIMS to classify samples as untreated or treated with a specific oxidant with 100% accuracy and identified a panel of 54 metabolites with significantly altered concentrations after exposure to one or more of the oxidants. Key metabolic changes were conserved in P. aeruginosa clinical strains isolated from patients with cystic fibrosis lung infections. These data demonstrated that HOCl stress impacted the Pseudomonas quinolone signal (PQS) quorum sensing system. Ten 2-alkyl-4-quinolones (AHQs) associated with the PQS system were significantly lower in concentration in HOCl-stressed P. aeruginosa cultures, including 2-heptyl-3-hydroxy-4(1H)-quinolone (PQS), the most active signal molecule of the PQS system. The PQS system regulates the production of virulence factors, including pyocyanin and elastase, and their levels were markedly affected by HOCl stress. No pyocyanin was detectable and elastase concentrations were reduced by more than 75% in cultures grown with sub-lethal concentrations of HOCl, suggesting that this neutrophil-derived oxidant may disrupt the ability of P. aeruginosa to establish infections through interference with production of PQS-associated virulence factors. IMPORTANCE This work demonstrates that a high-throughput ambient ionization mass spectrometry method can be used successfully to study a bacterial stress response. Its application to the opportunistic pathogen Pseudomonas aeruginosa led to the identification of specific oxidative stress biomarkers, and demonstrated that hypochlorous acid, an oxidant specifically produced by human neutrophils during infection, affects quorum sensing and reduces production of the virulence factors pyocyanin and elastase. No pyocyanin was detectable and elastase levels were reduced by more than 75% in bacteria grown in the presence of hypochlorous acid. This approach has the potential to be widely applicable to the characterization of the stress responses of bacteria.
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Affiliation(s)
- Rob Bradley
- Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, United Kingdom
| | - Daniel Simon
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
- The Rosalind Franklin Institute, Didcot, United Kingdom
| | - Livia Spiga
- Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, United Kingdom
| | - Yuchen Xiang
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Zoltan Takats
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, United Kingdom
| | - Huw Williams
- Department of Life Sciences, Faculty of Natural Sciences, Imperial College London, London, United Kingdom
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3
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Gonzalez LE, Snyder DT, Casey H, Hu Y, Wang DM, Guetzloff M, Huckaby N, Dziekonski ET, Wells JM, Cooks RG. Machine-Learning Classification of Bacteria Using Two-Dimensional Tandem Mass Spectrometry. Anal Chem 2023; 95:17082-17088. [PMID: 37937965 DOI: 10.1021/acs.analchem.3c04016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2023]
Abstract
Biothreat detection has continued to gain attention. Samples suspected to fall into any of the CDC's biothreat categories require identification by processes that require specialized expertise and facilities. Recent developments in analytical instrumentation and machine learning algorithms offer rapid and accurate classification of Gram-positive and Gram-negative bacterial species. This is achieved by analyzing the negative ions generated from bacterial cell extracts with a modified linear quadrupole ion-trap mass spectrometer fitted with two-dimensional tandem mass spectrometry capabilities (2D MS/MS). The 2D MS/MS data domain of a bacterial cell extract is recorded within five s using a five-scan average after sample preparation by a simple extraction. Bacteria were classified at the species level by their lipid profiles using the random forest, k-nearest neighbor, and multilayer perceptron machine learning models. 2D MS/MS data can also be treated as image data for use with image recognition algorithms such as convolutional neural networks. The classification accuracy of all models tested was greater than 99%. Adding to previously published work on the 2D MS/MS analysis of bacterial growth and the profiling of sporulating bacteria, this study demonstrates the utility and information-rich nature of 2D MS/MS in the identification of bacterial pathogens at the species level when coupled with machine learning.
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Affiliation(s)
- L Edwin Gonzalez
- Department of Chemistry, Purdue University, West Lafayette , Indiana 47907, United States
| | - Dalton T Snyder
- Teledyne FLIR Detection, West Lafayette, Indiana 47907, United States
| | - Harman Casey
- Teledyne FLIR Detection, West Lafayette, Indiana 47907, United States
| | - Yanyang Hu
- Department of Chemistry, Purdue University, West Lafayette , Indiana 47907, United States
| | - Donna M Wang
- Department of Chemistry, Purdue University, West Lafayette , Indiana 47907, United States
| | - Megan Guetzloff
- Teledyne FLIR Detection, West Lafayette, Indiana 47907, United States
| | - Nicole Huckaby
- Teledyne FLIR Detection, West Lafayette, Indiana 47907, United States
| | - Eric T Dziekonski
- Department of Chemistry, Purdue University, West Lafayette , Indiana 47907, United States
| | - J Mitchell Wells
- Teledyne FLIR Detection, West Lafayette, Indiana 47907, United States
| | - R Graham Cooks
- Department of Chemistry, Purdue University, West Lafayette , Indiana 47907, United States
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4
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Vande Voorde J, Steven RT, Najumudeen AK, Ford CA, Dexter A, Gonzalez-Fernandez A, Nikula CJ, Xiang Y, Ford L, Maneta Stavrakaki S, Gilroy K, Zeiger LB, Pennel K, Hatthakarnkul P, Elia EA, Nasif A, Murta T, Manoli E, Mason S, Gillespie M, Lannagan TRM, Vlahov N, Ridgway RA, Nixon C, Raven A, Mills M, Athineos D, Kanellos G, Nourse C, Gay DM, Hughes M, Burton A, Yan B, Sellers K, Wu V, De Ridder K, Shokry E, Huerta Uribe A, Clark W, Clark G, Kirschner K, Thienpont B, Li VSW, Maddocks ODK, Barry ST, Goodwin RJA, Kinross J, Edwards J, Yuneva MO, Sumpton D, Takats Z, Campbell AD, Bunch J, Sansom OJ. Metabolic profiling stratifies colorectal cancer and reveals adenosylhomocysteinase as a therapeutic target. Nat Metab 2023; 5:1303-1318. [PMID: 37580540 PMCID: PMC10447251 DOI: 10.1038/s42255-023-00857-0] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 07/06/2023] [Indexed: 08/16/2023]
Abstract
The genomic landscape of colorectal cancer (CRC) is shaped by inactivating mutations in tumour suppressors such as APC, and oncogenic mutations such as mutant KRAS. Here we used genetically engineered mouse models, and multimodal mass spectrometry-based metabolomics to study the impact of common genetic drivers of CRC on the metabolic landscape of the intestine. We show that untargeted metabolic profiling can be applied to stratify intestinal tissues according to underlying genetic alterations, and use mass spectrometry imaging to identify tumour, stromal and normal adjacent tissues. By identifying ions that drive variation between normal and transformed tissues, we found dysregulation of the methionine cycle to be a hallmark of APC-deficient CRC. Loss of Apc in the mouse intestine was found to be sufficient to drive expression of one of its enzymes, adenosylhomocysteinase (AHCY), which was also found to be transcriptionally upregulated in human CRC. Targeting of AHCY function impaired growth of APC-deficient organoids in vitro, and prevented the characteristic hyperproliferative/crypt progenitor phenotype driven by acute deletion of Apc in vivo, even in the context of mutant Kras. Finally, pharmacological inhibition of AHCY reduced intestinal tumour burden in ApcMin/+ mice indicating its potential as a metabolic drug target in CRC.
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Affiliation(s)
| | | | | | | | | | | | | | - Yuchen Xiang
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Lauren Ford
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Stefania Maneta Stavrakaki
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | | | - Lucas B Zeiger
- Cancer Research UK Beatson Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - Kathryn Pennel
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | | | | | | | | | - Eftychios Manoli
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Sam Mason
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Michael Gillespie
- Cancer Research UK Beatson Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | | | | | | | - Colin Nixon
- Cancer Research UK Beatson Institute, Glasgow, UK
| | | | - Megan Mills
- Cancer Research UK Beatson Institute, Glasgow, UK
| | | | | | - Craig Nourse
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | - David M Gay
- Cancer Research UK Beatson Institute, Glasgow, UK
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
- Københavns Universitet, BRIC, Copenhagen, Denmark
| | - Mark Hughes
- Cancer Research UK Beatson Institute, Glasgow, UK
| | - Amy Burton
- National Physical Laboratory, London, UK
| | - Bin Yan
- National Physical Laboratory, London, UK
| | - Katherine Sellers
- The Francis Crick Institute, London, UK
- Rheos Medicines, Cambridge, MA, USA
| | - Vincen Wu
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Kobe De Ridder
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
| | - Engy Shokry
- Cancer Research UK Beatson Institute, Glasgow, UK
| | | | | | - Graeme Clark
- Cancer Research UK Beatson Institute, Glasgow, UK
| | | | - Bernard Thienpont
- Department of Human Genetics, University of Leuven, KU Leuven, Leuven, Belgium
| | | | | | - Simon T Barry
- Bioscience, Early Oncology, AstraZeneca, Cambridge, UK
| | - Richard J A Goodwin
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge, UK
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK
| | - James Kinross
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
| | - Joanne Edwards
- School of Cancer Sciences, University of Glasgow, Glasgow, UK
| | | | | | - Zoltan Takats
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
- Biological Mass Spectrometry, Rosalind Franklin Institute, Didcot, UK
| | | | - Josephine Bunch
- National Physical Laboratory, London, UK
- Department of Metabolism Digestion and Reproduction, Faculty of Medicine, Imperial College London, London, UK
- Biological Mass Spectrometry, Rosalind Franklin Institute, Didcot, UK
| | - Owen J Sansom
- Cancer Research UK Beatson Institute, Glasgow, UK.
- School of Cancer Sciences, University of Glasgow, Glasgow, UK.
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Robertson SN, Soukarieh F, White TM, Camara M, Romero M, Griffiths RL. Probing Interkingdom Signaling Molecules via Liquid Extraction Surface Analysis-Mass Spectrometry. Anal Chem 2023; 95:5079-5086. [PMID: 36881460 PMCID: PMC10034741 DOI: 10.1021/acs.analchem.2c05703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/08/2023]
Abstract
Previously, metabolites diffused or secreted from microbial samples have been analyzed via liquid chromatography-mass spectrometry (LC-MS) approaches following lengthy extraction protocols. Here, we present a model system for growing biofilms on discs before utilizing rapid and direct surface sampling MS, namely, liquid extraction surface analysis, to study the microbial exometabolome. One of the benefits of this approach is its surface-specific nature, enabling mimicking biofilm formation in a way that the study of planktonic liquid cultures cannot imitate. Even though Pseudomonas aeruginosa (P. aeruginosa), Staphylococcus aureus (S. aureus), and Candida albicans (C. albicans) have been studied previously in isolation, very few studies consider the complexity of the interplay between these pathogens, which are commonly combined causative agents of infection. Our model system provides a route to investigate changes in the exometabolome, such as metabolites that become circulatory in the presence of multiple pathogens. Our results agree with previous reports showing that 2-alkyl-4(1H)-quinolone signal molecules produced by P. aeruginosa are important markers of infection and suggest that methods for monitoring levels of 2-heptyl-4-hydroxyquinoline and 2,4-dihydroxyquinoline, as well as pyocyanin, could be beneficial in the determination of causative agents in interkingdom infection including P. aeruginosa. Furthermore, studying changes in exometabolome metabolites between pqs quorum sensing antagonists in treated and nontreated samples suggests suppression of phenazine production by P. aeruginosa. Hence, our model provides a rapid analytical approach to gaining a mechanistic understanding of bacterial signaling.
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Affiliation(s)
- Shaun N Robertson
- U.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K
| | - Fadi Soukarieh
- U.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K
| | - Thomas M White
- Faculty of Science, School of Pharmacy, University of Nottingham, NG7 2RD Nottingham, U.K
| | - Miguel Camara
- U.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K
| | - Manuel Romero
- U.K. National Biofilm Innovation Centre (NBIC), Biodiscovery Institute, School of Life Sciences, Faculty of Health and Medical Sciences, University of Nottingham, NG7 2RD Nottingham, U.K
- Department of Microbiology and Parasitology, Faculty of Biology-CIBUS, Universidade de Santiago de Compostela, 15782 Santiago de Compostela, Spain
| | - Rian L Griffiths
- Faculty of Science, School of Pharmacy, University of Nottingham, NG7 2RD Nottingham, U.K
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6
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Wagner I, Grigoraki L, Enevoldson P, Clarkson M, Jones S, Hurst JL, Beynon RJ, Ranson H. Rapid identification of mosquito species and age by mass spectrometric analysis. BMC Biol 2023; 21:10. [PMID: 36690979 PMCID: PMC9872345 DOI: 10.1186/s12915-022-01508-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 12/21/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND A rapid, accurate method to identify and to age-grade mosquito populations would be a major advance in predicting the risk of pathogen transmission and evaluating the public health impact of vector control interventions. Whilst other spectrometric or transcriptomic methods show promise, current approaches rely on challenging morphological techniques or simple binary classifications that cannot identify the subset of the population old enough to be infectious. In this study, the ability of rapid evaporative ionisation mass spectrometry (REIMS) to identify the species and age of mosquitoes reared in the laboratory and derived from the wild was investigated. RESULTS The accuracy of REIMS in identifying morphologically identical species of the Anopheles gambiae complex exceeded 97% using principal component/linear discriminant analysis (PC-LDA) and 84% based on random forest analysis. Age separation into 3 different age categories (1 day, 5-6 days, 14-15 days) was achieved with 99% (PC-LDA) and 91% (random forest) accuracy. When tested on wild mosquitoes from the UK, REIMS data could determine the species and age of the specimens with accuracies of 91 and 90% respectively. CONCLUSIONS The accuracy of REIMS to resolve the species and age of Anopheles mosquitoes is comparable to that achieved by infrared spectroscopy approaches. The processing time and ease of use represent significant advantages over current, dissection-based methods. Importantly, the accuracy was maintained when using wild mosquitoes reared under differing environmental conditions, and when mosquitoes were stored frozen or desiccated. This high throughput approach thus has potential to conduct rapid, real-time monitoring of vector populations, providing entomological evidence of the impact of alternative interventions.
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Affiliation(s)
- Iris Wagner
- Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB UK
| | - Linda Grigoraki
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA UK
| | - Peter Enevoldson
- Walton Centre NHS Foundation Trust, Lower Lane, Liverpool, L9 7LJ UK
- Department of Livestock and One Health, University of Liverpool, Institute of Infection, Veterinary and Ecological Sciences, Leahurst Campus, Neston, CH64 7TE UK
| | - Michael Clarkson
- Department of Livestock and One Health, University of Liverpool, Institute of Infection, Veterinary and Ecological Sciences, Leahurst Campus, Neston, CH64 7TE UK
| | - Sam Jones
- International Pheromone Systems Ltd, Evolution House, Long Acres Road, Clayhill Industrial Estate, Neston, CH64 3RL Cheshire UK
| | - Jane L. Hurst
- Mammalian Behaviour and Evolution Group, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Leahurst Campus, Neston, CH64 7TE UK
| | - Robert J. Beynon
- Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB UK
| | - Hilary Ranson
- Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA UK
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Kaufmann M, Vaysse PM, Savage A, Amgheib A, Marton A, Manoli E, Fichtinger G, Pringle SD, Rudan JF, Heeren RMA, Takáts Z, Balog J, Porta Siegel T. Harmonization of Rapid Evaporative Ionization Mass Spectrometry Workflows across Four Sites and Testing Using Reference Material and Local Food-Grade Meats. Metabolites 2022; 12:1130. [PMID: 36422272 PMCID: PMC9699633 DOI: 10.3390/metabo12111130] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2022] [Revised: 11/08/2022] [Accepted: 11/10/2022] [Indexed: 11/19/2022] Open
Abstract
Rapid evaporative ionization mass spectrometry (REIMS) is a direct tissue metabolic profiling technique used to accurately classify tissues using pre-built mass spectral databases. The reproducibility of the analytical equipment, methodology and tissue classification algorithms has yet to be evaluated over multiple sites, which is an essential step for developing this technique for future clinical applications. In this study, we harmonized REIMS methodology using single-source reference material across four sites with identical equipment: Imperial College London (UK); Waters Research Centre (Hungary); Maastricht University (The Netherlands); and Queen's University (Canada). We observed that method harmonization resulted in reduced spectral variability across sites. Each site then analyzed four different types of locally-sourced food-grade animal tissue. Tissue recognition models were created at each site using multivariate statistical analysis based on the different metabolic profiles observed in the m/z range of 600-1000, and these models were tested against data obtained at the other sites. Cross-validation by site resulted in 100% correct classification of two reference tissues and 69-100% correct classification for food-grade meat samples. While we were able to successfully minimize between-site variability in REIMS signals, differences in animal tissue from local sources led to significant variability in the accuracy of an individual site's model. Our results inform future multi-site REIMS studies applied to clinical samples and emphasize the importance of carefully-annotated samples that encompass sufficient population diversity.
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Affiliation(s)
- Martin Kaufmann
- Department of Surgery, Queen’s University, Kingston, ON K7L 2V7, Canada
- Department of Biomedical and Molecular Sciences, Queen’s University, Kingston, ON K7L 3N6, Canada
| | - Pierre-Maxence Vaysse
- Maastricht MultiModal Molecular Imaging (M4i) Institute, Division of Imaging Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
- Department of Surgery, Maastricht University Medical Center + (MUMC+), 6229 HX Maastricht, The Netherlands
- Department of Otorhinolaryngology, Head & Neck Surgery, MUMC+, 6229 HX Maastricht, The Netherlands
| | - Adele Savage
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK
| | - Ala Amgheib
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK
| | | | - Eftychios Manoli
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK
| | - Gabor Fichtinger
- School of Computing, Queen’s University, Kingston, ON K7L 2N8, Canada
| | | | - John F. Rudan
- Department of Surgery, Queen’s University, Kingston, ON K7L 2V7, Canada
| | - Ron M. A. Heeren
- Maastricht MultiModal Molecular Imaging (M4i) Institute, Division of Imaging Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Zoltán Takáts
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK
| | - Júlia Balog
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2BX, UK
- Waters Research Center, 1031 Budapest, Hungary
| | - Tiffany Porta Siegel
- Maastricht MultiModal Molecular Imaging (M4i) Institute, Division of Imaging Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
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8
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Shenker NS, Perdones-Montero A, Burke A, Stickland S, McDonald JAK, Cameron SJS. Human Milk from Tandem Feeding Dyads Does Not Differ in Metabolite and Metataxonomic Features When Compared to Single Nursling Dyads under Six Months of Age. Metabolites 2022; 12:metabo12111069. [PMID: 36355152 PMCID: PMC9696481 DOI: 10.3390/metabo12111069] [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] [Received: 09/30/2022] [Revised: 10/27/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022] Open
Abstract
Given the long-term advantages of exclusive breastfeeding to infants and their mothers, there is both an individual and public health benefit to its promotion and support. Data on the composition of human milk over the course of a full period of lactation for a single nursling is sparse, but data on human milk composition during tandem feeding (feeding children of different ages from different pregnancies) is almost entirely absent. This leaves an important knowledge gap that potentially endangers the ability of parents to make a fully informed choice on infant feeding. We compared the metataxonomic and metabolite fingerprints of human milk samples from 15 tandem feeding dyads to that collected from ten exclusively breastfeeding single nursling dyads where the nursling is under six months of age. Uniquely, our cohort also included three tandem feeding nursling dyads where each child showed a preferential side for feeding-allowing a direct comparison between human milk compositions for different aged nurslings. Across our analysis of volume, total fat, estimation of total microbial load, metabolite fingerprinting, and metataxonomics, we showed no statistically significant differences between tandem feeding and single nursling dyads. This included comparisons of preferential side nurslings of different ages. Together, our findings support the practice of tandem feeding of nurslings, even when feeding an infant under six months.
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Affiliation(s)
- Natalie S. Shenker
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, UK
| | - Alvaro Perdones-Montero
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
| | - Adam Burke
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
| | - Sarah Stickland
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London SW7 2AZ, UK
| | - Julie A. K. McDonald
- MRC Centre for Molecular Bacteriology and Infection, Imperial College London, London SW7 2AZ, UK
| | - Simon J. S. Cameron
- Institute for Global Food Security, School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UK
- Correspondence: ; Tel.: +44-(0)28-9097-6421
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9
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Morgan J, Salcedo-Sora JE, Wagner I, Beynon RJ, Triana-Chavez O, Strode C. Rapid Evaporative Ionization Mass Spectrometry (REIMS): a Potential and Rapid Tool for the Identification of Insecticide Resistance in Mosquito Larvae. JOURNAL OF INSECT SCIENCE (ONLINE) 2022; 22:5. [PMID: 36082679 PMCID: PMC9459442 DOI: 10.1093/jisesa/ieac052] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Indexed: 06/15/2023]
Abstract
Insecticide resistance is a significant challenge facing the successful control of mosquito vectors globally. Bioassays are currently the only method for phenotyping resistance. They require large numbers of mosquitoes for testing, the availability of a susceptible comparator strain, and often insectary facilities. This study aimed to trial the novel use of rapid evaporative ionization mass spectrometry (REIMS) for the identification of insecticide resistance in mosquitoes. No sample preparation is required for REIMS and analysis can be rapidly conducted within hours. Temephos resistant Aedes aegypti (Linnaeus) larvae from Cúcuta, Colombia and temephos susceptible larvae from two origins (Bello, Colombia, and the lab reference strain New Orleans) were analyzed using REIMS. We tested the ability of REIMS to differentiate three relevant variants: population source, lab versus field origin, and response to insecticide. The classification of these data was undertaken using linear discriminant analysis (LDA) and random forest. Classification models built using REIMS data were able to differentiate between Ae. aegypti larvae from different populations with 82% (±0.01) accuracy, between mosquitoes of field and lab origin with 89% (±0.01) accuracy and between susceptible and resistant larvae with 85% (±0.01) accuracy. LDA classifiers had higher efficiency than random forest with this data set. The high accuracy observed here identifies REIMS as a potential new tool for rapid identification of resistance in mosquitoes. We argue that REIMS and similar modern phenotyping alternatives should complement existing insecticide resistance management tools.
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Affiliation(s)
- Jasmine Morgan
- Department of Biology, Edge Hill University, Ormskirk, Lancashire, L39 4QP, UK
| | | | - Iris Wagner
- Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK
| | - Robert J Beynon
- Centre for Proteome Research, Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Crown Street, Liverpool L69 7ZB, UK
| | - Omar Triana-Chavez
- Instituto de Biología, Facultad de Ciencias Exactas y Naturales (FCEN), University of Antioquia, Medellín, Colombia
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10
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Zhang J, Sans M, Garza KY, Eberlin LS. MASS SPECTROMETRY TECHNOLOGIES TO ADVANCE CARE FOR CANCER PATIENTS IN CLINICAL AND INTRAOPERATIVE USE. MASS SPECTROMETRY REVIEWS 2021; 40:692-720. [PMID: 33094861 DOI: 10.1002/mas.21664] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 09/09/2020] [Accepted: 09/09/2020] [Indexed: 06/11/2023]
Abstract
Developments in mass spectrometry technologies have driven a widespread interest and expanded their use in cancer-related research and clinical applications. In this review, we highlight the developments in mass spectrometry methods and instrumentation applied to direct tissue analysis that have been tailored at enhancing performance in clinical research as well as facilitating translation and implementation of mass spectrometry in clinical settings, with a focus on cancer-related studies. Notable studies demonstrating the capabilities of direct mass spectrometry analysis in biomarker discovery, cancer diagnosis and prognosis, tissue analysis during oncologic surgeries, and other clinically relevant problems that have the potential to substantially advance cancer patient care are discussed. Key challenges that need to be addressed before routine clinical implementation including regulatory efforts are also discussed. Overall, the studies highlighted in this review demonstrate the transformative potential of mass spectrometry technologies to advance clinical research and care for cancer patients. © 2020 Wiley Periodicals, Inc. Mass Spec Rev.
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Affiliation(s)
- Jialing Zhang
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Marta Sans
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Kyana Y Garza
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Livia S Eberlin
- Department of Chemistry, University of Texas at Austin, Austin, TX
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11
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Fu X, Wang Y, Xia B, Shi P, Zhou Y. Ultrasonic Sputter Desorption Mass Spectrometry Technique for Minimally Invasive Tissue Analysis. Anal Chem 2021; 93:10502-10510. [PMID: 34284576 DOI: 10.1021/acs.analchem.1c01448] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
Minimally invasive techniques for in vivo tissue analysis are desired by life science and medical research. Herein, a new ionization interface coupled with ultrasonic sputter desorption (USD) was developed for in vitro and in vivo tissue analysis. Sample molecules were effectively sputtered out when the high-frequency ultrasonic probe touched the tissue. Then, the sputtered molecules were collected and ionized by a custom-made heated quartz tube and finally analyzed by mass spectrometry (MS) online. The sample pretreatment of the USD-MS technique was quite simple and required no other steps except for wetting the tissue surface with ethanol to assist molecular extraction. Experimental results demonstrated that the proposed method was suitable for the analysis of different morphologies of tissues (such as liver, brain, kidney, and lung) and performed well in the analysis of liver tumors and paracancerous tissues. Moreover, as the proposed method caused little damage to the tissues during analysis, rats and mice with orthotopic tumors still survived after the experiments. Overall, the newly developed USD-MS technique was an effective tool for minimally invasive tissue analysis and could be used as a new candidate method for in situ and real-time analysis of biological tissues in vitro and in vivo.
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Affiliation(s)
- Xian Fu
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China.,Center for Novel Target & Therapeutic Intervention, Institute of Life Sciences, Chongqing Medical University, Chongqing 400016, P. R. China
| | - Yu Wang
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China.,University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Bing Xia
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China
| | - Peiyu Shi
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China.,University of Chinese Academy of Sciences, Beijing 100049, P. R. China
| | - Yan Zhou
- Chengdu Institute of Biology, Chinese Academy of Sciences, No. 93 South Keyuan Road, Gaoxin Distinct, Chengdu 610041, P. R. China
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12
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Cameron SJS, Perdones-Montero A, Van Meulebroek L, Burke A, Alexander-Hardiman K, Simon D, Schaffer R, Balog J, Karancsi T, Rickards T, Rebec M, Stead S, Vanhaecke L, Takáts Z. Sample Preparation Free Mass Spectrometry Using Laser-Assisted Rapid Evaporative Ionization Mass Spectrometry: Applications to Microbiology, Metabolic Biofluid Phenotyping, and Food Authenticity. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1393-1401. [PMID: 33980015 DOI: 10.1021/jasms.0c00452] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Mass spectrometry has established itself as a powerful tool in the chemical, biological, medical, environmental, and agricultural fields. However, experimental approaches and potential application areas have been limited by a traditional reliance on sample preparation, extraction, and chromatographic separation. Ambient ionization mass spectrometry methods have addressed this challenge but are still somewhat restricted in requirements for sample manipulation to make it suitable for analysis. These limitations are particularly restrictive in view of the move toward high-throughput and automated analytical workflows. To address this, we present what we consider to be the first automated sample-preparation-free mass spectrometry platform utilizing a carbon dioxide (CO2) laser for sample thermal desorption linked to the rapid evaporative ionization mass spectrometry (LA-REIMS) methodology. We show that the pulsatile operation of the CO2 laser is the primary factor in achieving high signal-to-noise ratios. We further show that the LA-REIMS automated platform is suited to the analysis of three diverse biological materials within different application areas. First, clinical microbiology isolates were classified to species level with an accuracy of 97.2%, the highest accuracy reported in current literature. Second, fecal samples from a type 2 diabetes mellitus cohort were analyzed with LA-REIMS, which allowed tentative identification of biomarkers which are potentially associated with disease pathogenesis and a disease classification accuracy of 94%. Finally, we showed the ability of the LA-REIMS system to detect instances of adulteration of cooking oil and determine the geographical area of production of three protected olive oil products with 100% classification accuracy.
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Affiliation(s)
- Simon J S Cameron
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
| | - Alvaro Perdones-Montero
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Lieven Van Meulebroek
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Ghent University, Ghent B-9820, Belgium
| | - Adam Burke
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Kate Alexander-Hardiman
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
| | - Daniel Simon
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Waters Research Center, Budapest 1031, Hungary
| | | | - Julia Balog
- Waters Research Center, Budapest 1031, Hungary
| | | | - Tony Rickards
- Department of Microbiology, Imperial College Healthcare NHS Trust, London W6 8RD, U.K
| | - Monica Rebec
- Department of Microbiology, Imperial College Healthcare NHS Trust, London W6 8RD, U.K
| | - Sara Stead
- Waters Corporation, Wilmslow SK9 4AX, U.K
| | - Lynn Vanhaecke
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
- Laboratory of Chemical Analysis, Department of Veterinary Public Health and Food Safety, Ghent University, Ghent B-9820, Belgium
| | - Zoltán Takáts
- Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K
- Institute for Global Food Security, School of Biological Sciences, Queen's University Belfast, Belfast BT9 5DL, U.K
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Abstract
Over the past decade, matrix-assisted laser desorption/ionization-time-of-flight mass spectrometry has revolutionized the practice of clinical microbiology and infectious disease diagnostics. Rapid advancement has occurred through the development and implementation of mass spectrometric protein profiling technologies that are widely available. Ease of sample preparation, rapid turnaround times, and high throughput accuracy have accelerated acceptance within the clinical laboratory. New mass spectrometric technologies centered on multiple microbial diagnostic markers are in development. Such new applications, reviewed in this article and on the near horizon, stand to greatly enhance the capabilities and utility for improved mass spectrometric microbial identification and patient care.
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14
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Gao H, Lin J, Jia X, Zhao Y, Wang S, Bai H, Ma Q. Real-time authentication of animal species origin of leather products using rapid evaporative ionization mass spectrometry and chemometric analysis. Talanta 2021; 225:122069. [PMID: 33592787 DOI: 10.1016/j.talanta.2020.122069] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2020] [Revised: 12/22/2020] [Accepted: 12/25/2020] [Indexed: 12/18/2022]
Abstract
Increasing accounts of fraud and persistent labeling problems have brought the authenticity of leather products into question. In this study, we developed an extremely simplified workflow for real-time, in situ, and unambiguous authentication of leather samples using rapid evaporative ionization mass spectrometry (REIMS) coupled with an electric soldering iron. Initially, authentic leather samples from cattle, sheep, pig, deer, ostrich, crocodile, and snake were used to create a chemometric model based on principal component analysis and linear discriminant analysis algorithms. The validated multivariate statistical model was then used to analyze and generate live classifications of commercial leather samples. In addition to REIMS analysis, the microstructures of leathers were characterized by scanning electron microscopy to provide complementary information. The current study is expected to provide a high-throughput tool with superior efficiency and accuracy for authenticating the identity of leathers and other consumer products of biogenic origin.
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Affiliation(s)
- Haiyan Gao
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China; Inner Mongolia Autonomous Region Institute of Product Quality Inspection, Huhhot 010070, China
| | - Jihong Lin
- Waters Corporation, Beijing 100176, China
| | | | - Yang Zhao
- National Quality Supervision and Testing Center for Leather Products, Beijing 100015, China
| | - Songying Wang
- Inner Mongolia Autonomous Region Institute of Product Quality Inspection, Huhhot 010070, China
| | - Hua Bai
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China
| | - Qiang Ma
- Chinese Academy of Inspection and Quarantine, Beijing 100176, China.
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15
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Barlow RS, Fitzgerald AG, Hughes JM, McMillan KE, Moore SC, Sikes AL, Tobin AB, Watkins PJ. Rapid Evaporative Ionization Mass Spectrometry: A Review on Its Application to the Red Meat Industry with an Australian Context. Metabolites 2021; 11:171. [PMID: 33804276 PMCID: PMC8000567 DOI: 10.3390/metabo11030171] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2021] [Revised: 03/08/2021] [Accepted: 03/11/2021] [Indexed: 01/01/2023] Open
Abstract
The red meat supply chain is a complex network transferring product from producers to consumers in a safe and secure way. There can be times when fragmentation can arise within the supply chain, which could be exploited. This risk needs reduction so that meat products enter the market with the desired attributes. Rapid Evaporative Ionisation Mass Spectrometry (REIMS) is a novel ambient mass spectrometry technique originally developed for rapid and accurate classification of biological tissue which is now being considered for use in a range of additional applications. It has subsequently shown promise for a range of food provenance, quality and safety applications with its ability to conduct ex vivo and in situ analysis. These are regarded as critical characteristics for technologies which can enable real-time decision making in meat processing plants and more broadly throughout the sector. This review presents an overview of the REIMS technology, and its application to the areas of provenance, quality and safety to the red meat industry, particularly in an Australian context.
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Affiliation(s)
- Robert S. Barlow
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Coopers Plains, QLD 4108, Australia; (A.G.F.); (J.M.H.); (K.E.M.); (A.L.S.); (A.B.T.)
| | - Adam G. Fitzgerald
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Coopers Plains, QLD 4108, Australia; (A.G.F.); (J.M.H.); (K.E.M.); (A.L.S.); (A.B.T.)
| | - Joanne M. Hughes
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Coopers Plains, QLD 4108, Australia; (A.G.F.); (J.M.H.); (K.E.M.); (A.L.S.); (A.B.T.)
| | - Kate E. McMillan
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Coopers Plains, QLD 4108, Australia; (A.G.F.); (J.M.H.); (K.E.M.); (A.L.S.); (A.B.T.)
| | - Sean C. Moore
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Werribee, VIC 3030, Australia; (S.C.M.); (P.J.W.)
| | - Anita L. Sikes
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Coopers Plains, QLD 4108, Australia; (A.G.F.); (J.M.H.); (K.E.M.); (A.L.S.); (A.B.T.)
| | - Aarti B. Tobin
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Coopers Plains, QLD 4108, Australia; (A.G.F.); (J.M.H.); (K.E.M.); (A.L.S.); (A.B.T.)
| | - Peter J. Watkins
- Agriculture and Food, Commonwealth Scientific and Industrial Research Organization, Werribee, VIC 3030, Australia; (S.C.M.); (P.J.W.)
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16
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Electrocautery, Diathermy, and Surgical Energy Devices: Are Surgical Teams at Risk During the COVID-19 Pandemic? Ann Surg 2021; 272:e257-e262. [PMID: 32541232 PMCID: PMC7467049 DOI: 10.1097/sla.0000000000004112] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
Supplemental Digital Content is available in the text Objective: The aim of the study was to provide a rapid synthesis of available data to identify the risk posed by utilizing surgical energy devices intraoperatively due to the generation of surgical smoke, an aerosol. Secondarily it aims to summarize methods to minimize potential risk to operating room staff. Summary Background Data: Continuing operative practice during the coronavirus disease-19 (COVID-19) pandemic places the health of operating theatre staff at potential risk. SARS-CoV2 is transmitted through inhaled droplets and aerosol particles, thus posing an inhalation threat even at considerable distance. Surgical energy devices generate an aerosol of biological particular matter during use. The risk to healthcare staff through use of surgical energy devices is unknown. Methods: This review was conducted utilizing a rapid review methodology to enable efficient generation and dissemination of information useful for concurrent clinical practice. Results: There are conflicting stances on the use of energy devices and laparoscopy by different surgical governing bodies and societies. There is no definitive evidence that aerosol generated by energy devices may carry active SARS-CoV2 virus. However, investigations of other viruses have demonstrated aerosolization through energy devise use. Measures to reduce potential transmission include appropriate personal protective equipment, evacuation and filtration of surgical plume, limiting energy device use if appropriate, and adjusting endoscopic and laparoscopic practice (low CO2 pressures, evacuation through ultrafiltration systems). Conclusions: The risk of transmission of SARS-CoV2 through aerosolized surgical smoke associated with energy device use is not fully understood, however transmission is biologically plausible. Caution and appropriate measures to reduce risk to healthcare staff should be implemented when considering intraoperative use of energy devices.
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17
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Freeman Weiss Z, Leon A, Koo S. The Evolving Landscape of Fungal Diagnostics, Current and Emerging Microbiological Approaches. J Fungi (Basel) 2021; 7:jof7020127. [PMID: 33572400 PMCID: PMC7916227 DOI: 10.3390/jof7020127] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 01/27/2021] [Accepted: 02/04/2021] [Indexed: 12/17/2022] Open
Abstract
Invasive fungal infections are increasingly recognized in immunocompromised hosts. Current diagnostic techniques are limited by low sensitivity and prolonged turnaround times. We review emerging diagnostic technologies and platforms for diagnosing the clinically invasive disease caused by Candida, Aspergillus, and Mucorales.
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Affiliation(s)
- Zoe Freeman Weiss
- Brigham and Women’s Hospital, Division of Infectious Diseases, Boston, MA 02115, USA; (A.L.); (S.K.)
- Massachusetts General Hospital, Division of Infectious Diseases, Boston, MA 02115, USA
- Correspondence:
| | - Armando Leon
- Brigham and Women’s Hospital, Division of Infectious Diseases, Boston, MA 02115, USA; (A.L.); (S.K.)
| | - Sophia Koo
- Brigham and Women’s Hospital, Division of Infectious Diseases, Boston, MA 02115, USA; (A.L.); (S.K.)
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18
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Griffiths RL. Surface‐sampling mass spectrometry and imaging: Direct analysis of bacterial species. SURF INTERFACE ANAL 2020. [DOI: 10.1002/sia.6907] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
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19
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Domenick TM, Gill EL, Vedam-Mai V, Yost RA. Mass Spectrometry-Based Cellular Metabolomics: Current Approaches, Applications, and Future Directions. Anal Chem 2020; 93:546-566. [PMID: 33146525 DOI: 10.1021/acs.analchem.0c04363] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Taylor M Domenick
- Department of Chemistry, University of Florida, Gainesville, Florida 32611-7200, United States
| | - Emily L Gill
- Department of Pathology and Laboratory Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania 19104-4283, United States.,Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104-4283, United States
| | - Vinata Vedam-Mai
- Department of Neurology, University of Florida, Gainesville, Florida 32610, United States
| | - Richard A Yost
- Department of Chemistry, University of Florida, Gainesville, Florida 32611-7200, United States
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20
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Ross A, Brunius C, Chevallier O, Dervilly G, Elliott C, Guitton Y, Prenni JE, Savolainen O, Hemeryck L, Vidkjær NH, Scollan N, Stead SL, Zhang R, Vanhaecke L. Making complex measurements of meat composition fast: Application of rapid evaporative ionisation mass spectrometry to measuring meat quality and fraud. Meat Sci 2020; 181:108333. [PMID: 33067082 DOI: 10.1016/j.meatsci.2020.108333] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/01/2020] [Accepted: 10/05/2020] [Indexed: 12/31/2022]
Abstract
Increasing demands are being placed on meat producers to verify more about their product with regards to safety, quality and authenticity. There are many methods that can detect aspects of these parameters in meat, yet most are too slow to keep up with the demands of modern meat processing plants and supply chains. A new technology, Rapid Evaporative Ionisation Mass Spectrometry (REIMS), has the potential to bridge the gap between advanced laboratory measurements and technology that can screen for quality, safety and authenticity parameters in a single measurement. Analysis with REIMS generates a detailed mass spectral fingerprint representative of a meat sample without the need for sample processing. REIMS has successfully been used to detect species fraud, detect use of hormones in meat animals, monitor meat processing and to detect off flavours such as boar taint. The aim of this review is to summarize these and other applications to highlight the potential of REIMS for meat analysis. Sampling methods and important considerations for data analysis are discussed as well as limitations of the technology and remaining challenges for practical adoption.
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Affiliation(s)
- Alastair Ross
- Food and Biobased Products Group, AgResearch, Lincoln, New Zealand.
| | - Carl Brunius
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Sweden.
| | | | | | | | | | - Jessica E Prenni
- Department of Horticulture and Landscape Architecture, Colorado State University, Fort Collins, CO, USA.
| | - Otto Savolainen
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science and Chalmers Mass Spectrometry Infrastructure, Chalmers University of Technology, Sweden.
| | | | - Nanna Hjort Vidkjær
- Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, Sweden.
| | - Nigel Scollan
- Queen's University Belfast, Belfast, United Kingdom.
| | - Sara L Stead
- Scientific Operations, Waters Corporation, Wilmslow, UK.
| | - Renyu Zhang
- Food & Bio-based Products, AgResearch, Palmerston North, New Zealand.
| | - Lynn Vanhaecke
- Ghent University, Laboratory of Chemical Analysis, Belgium.
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21
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Laser-assisted rapid evaporative ionisation mass spectrometry (LA-REIMS) as a metabolomics platform in cervical cancer screening. EBioMedicine 2020; 60:103017. [PMID: 32980699 PMCID: PMC7522750 DOI: 10.1016/j.ebiom.2020.103017] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 08/31/2020] [Accepted: 09/08/2020] [Indexed: 12/12/2022] Open
Abstract
Background The introduction of high-risk human papillomavirus (hrHPV) testing as part of primary cervical screening is anticipated to improve sensitivity, but also the number of women who will screen positive. Reflex cytology is the preferred triage test in most settings but has limitations including moderate diagnostic accuracy, lack of automation, inter-observer variability and the need for clinician-collected sample. Novel, objective and cost-effective approaches are needed. Methods In this study, we assessed the potential use of an automated metabolomic robotic platform, employing the principle of laser-assisted Rapid Evaporative Ionisation Mass Spectrometry (LA-REIMS) in cervical cancer screening. Findings In a population of 130 women, LA-REIMS achieved 94% sensitivity and 83% specificity (AUC: 91.6%) in distinguishing women testing positive (n = 65) or negative (n = 65) for hrHPV. We performed further analysis according to disease severity with LA-REIMS achieving sensitivity and specificity of 91% and 73% respectively (AUC: 86.7%) in discriminating normal from high-grade pre-invasive disease. Interpretation This automated high-throughput technology holds promise as a low-cost and rapid test for cervical cancer screening and triage. The use of platforms like LA-REIMS has the potential to further improve the accuracy and efficiency of the current national screening programme. Funding Work was funded by the MRC Imperial Confidence in Concept Scheme, Imperial College Healthcare Charity, British Society for Colposcopy and Cervical Pathology, National Research Development and Innovation Office of Hungary, Waters corporation and NIHR BRC.
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22
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Deng J, Yang Y, Luo L, Xiao Y, Luan T. Lipid analysis and lipidomics investigation by ambient mass spectrometry. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.115924] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
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23
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Calla-Quispe E, Fuentes-Rivera HL, Ramírez P, Martel C, Ibañez AJ. Mass Spectrometry: A Rosetta Stone to Learn How Fungi Interact and Talk. Life (Basel) 2020; 10:E89. [PMID: 32575729 PMCID: PMC7345136 DOI: 10.3390/life10060089] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 06/16/2020] [Accepted: 06/18/2020] [Indexed: 01/08/2023] Open
Abstract
Fungi are a highly diverse group of heterotrophic organisms that play an important role in diverse ecological interactions, many of which are chemically mediated. Fungi have a very versatile metabolism, which allows them to synthesize a large number of still little-known chemical compounds, such as soluble compounds that are secreted into the medium and volatile compounds that are chemical mediators over short and long distances. Mass spectrometry (MS) is currently playing a dominant role in mycological studies, mainly due to its inherent sensitivity and rapid identification capabilities of different metabolites. Furthermore, MS has also been used as a reliable and accurate tool for fungi identification (i.e., biotyping). Here, we introduce the readers about fungal specialized metabolites, their role in ecological interactions and provide an overview on the MS-based techniques used in fungal studies. We particularly present the importance of sampling techniques, strategies to reduce false-positive identification and new MS-based analytical strategies that can be used in mycological studies, further expanding the use of MS in broader applications. Therefore, we foresee a bright future for mass spectrometry-based research in the field of mycology.
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Affiliation(s)
- Erika Calla-Quispe
- Instituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Perú (PUCP), Av. Universitaria 1801, San Miguel 15088, Lima, Peru; (E.C.-Q.); (H.L.F.-R.); (C.M.)
| | - Hammerly Lino Fuentes-Rivera
- Instituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Perú (PUCP), Av. Universitaria 1801, San Miguel 15088, Lima, Peru; (E.C.-Q.); (H.L.F.-R.); (C.M.)
- Laboratory of Molecular Microbiology and Biotechnology, Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos (UNMSM), Av. Germán Amézaga 375, Lima 15081, Peru;
| | - Pablo Ramírez
- Laboratory of Molecular Microbiology and Biotechnology, Faculty of Biological Sciences, Universidad Nacional Mayor de San Marcos (UNMSM), Av. Germán Amézaga 375, Lima 15081, Peru;
| | - Carlos Martel
- Instituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Perú (PUCP), Av. Universitaria 1801, San Miguel 15088, Lima, Peru; (E.C.-Q.); (H.L.F.-R.); (C.M.)
- Museo de Historia Natural, Universidad Nacional Mayor de San Marcos (UNMSM), Av. Arenales 1256, Jesús María 15072, Lima, Peru
| | - Alfredo J. Ibañez
- Instituto de Ciencias Ómicas y Biotecnología Aplicada (ICOBA), Pontificia Universidad Católica del Perú (PUCP), Av. Universitaria 1801, San Miguel 15088, Lima, Peru; (E.C.-Q.); (H.L.F.-R.); (C.M.)
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Hokkinen L, Kesti A, Lepomäki J, Anttalainen O, Kontunen A, Karjalainen M, Aittoniemi J, Vuento R, Lehtimäki T, Oksala N, Roine A. Differential mobility spectrometry classification of bacteria. Future Microbiol 2020; 15:233-240. [DOI: 10.2217/fmb-2019-0192] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
Aim: Rapid identification of bacteria would facilitate timely initiation of therapy and improve cost–effectiveness of treatment. Traditional methods (culture, PCR) require reagents, consumables and hours to days to complete the identification. In this study, we examined whether differential mobility spectrometry could classify most common bacterial species, genera and between Gram status within minutes. Materials & methods: Cultured bacterial sample gaseous headspaces were measured with differential mobility spectrometry and data analyzed using k-nearest-neighbor and leave-one-out cross-validation. Results: Differential mobility spectrometry achieved a correct classification rate 70.7% for all bacterial species. For bacterial genera, the rate was 77.6% and between Gram status, 89.1%. Conclusion: Largest difficulties arose in distinguishing bacteria of the same genus. Future improvement of the sensor characteristics may improve the classification accuracy.
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Affiliation(s)
- Lauri Hokkinen
- Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
| | - Artturi Kesti
- Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
| | - Jaakko Lepomäki
- Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
| | - Osmo Anttalainen
- Vascular & interventional Center, Tampere University Hospital, Tampere, Finland
| | - Anton Kontunen
- Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
| | - Markus Karjalainen
- Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
| | | | | | - Terho Lehtimäki
- Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
- Fimlab Laboratories, Tampere, Finland
- Finnish Cardiovascular Research Center – Tampere, Tampere University, Tampere, Finland
| | - Niku Oksala
- Vascular & interventional Center, Tampere University Hospital, Tampere, Finland
- Department of Surgery, Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
| | - Antti Roine
- Faculty of Medicine & Health Technology, Tampere University, Tampere, Finland
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25
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Genangeli M, Heeren RMA, Porta Siegel T. Tissue classification by rapid evaporative ionization mass spectrometry (REIMS): comparison between a diathermic knife and CO 2 laser sampling on classification performance. Anal Bioanal Chem 2019; 411:7943-7955. [PMID: 31713015 PMCID: PMC6920236 DOI: 10.1007/s00216-019-02148-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2019] [Revised: 09/02/2019] [Accepted: 09/10/2019] [Indexed: 01/29/2023]
Abstract
The increasing need for rapid, in situ, and robust tissue profiling approaches in the context of intraoperative diagnostics has led to the development of a large number of ambient ionization-based surface sampling strategies. This paper compares the performances of a diathermic knife and a CO2 laser handpiece, both clinically approved, coupled to a rapid evaporative ionization mass spectrometry (REIMS) source for quasi-instantaneous tissue classification. Several fresh meat samples (muscle, liver, bone, bone marrow, cartilage, skin, fat) were obtained from different animals. Overall, the laser produced cleaner cuts and more reproducible and higher spectral quality signals when compared with the diathermic knife (CV laser = 9-12%, CV diathermic = 14-23%). The molecular profiles were subsequently entered into a database and PCA/LDA classification/prediction models were built to assess if the data generated with one sampling modality can be employed to classify the data generated with the other handpiece. We demonstrate that the correct classification rate of the models increases (+ 25%) with the introduction of a model based on peak lists that are tissue-specific and common to the two handpieces, compared with considering solely the whole molecular profile. This renders it possible to use a unique and universal database for quasi-instantaneous tissue recognition which would provide similar classification results independent of the handpiece used. Furthermore, the laser was able to generate aerosols rich in lipids from hard tissues such as bone, bone marrow, and cartilage. Combined, these results demonstrate that REIMS is a valuable and versatile tool for instantaneous identification/classification of hard tissue and coupling to different aerosol-generating handpieces expands its field of application. Graphical abstract.
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Affiliation(s)
- Michele Genangeli
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER, Maastricht, The Netherlands
- School of Pharmacy, Chemistry Unit, University of Camerino, Via S. Agostino 1, 62032, Camerino, MC, Italy
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER, Maastricht, The Netherlands
| | - Tiffany Porta Siegel
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER, Maastricht, The Netherlands.
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26
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Gowers GOF, Cameron SJS, Perdones-Montero A, Bell D, Chee SM, Kern M, Tew D, Ellis T, Takáts Z. Off-Colony Screening of Biosynthetic Libraries by Rapid Laser-Enabled Mass Spectrometry. ACS Synth Biol 2019; 8:2566-2575. [PMID: 31622554 DOI: 10.1021/acssynbio.9b00243] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
By leveraging advances in DNA synthesis and molecular cloning techniques, synthetic biology increasingly makes use of large construct libraries to explore large design spaces. For biosynthetic pathway engineering, the ability to screen these libraries for a variety of metabolites of interest is essential. If the metabolite of interest or the metabolic phenotype is not easily measurable, screening soon becomes a major bottleneck involving time-consuming culturing, sample preparation, and extraction. To address this, we demonstrate the use of automated laser-assisted rapid evaporative ionization mass spectrometry (LA-REIMS)-a form of ambient laser desorption ionization mass spectrometry-to perform rapid mass spectrometry analysis direct from agar plate yeast colonies without sample preparation or extraction. We use LA-REIMS to assess production levels of violacein and betulinic acid directly from yeast colonies at a rate of 6 colonies per minute. We then demonstrate the throughput enabled by LA-REIMS by screening over 450 yeast colonies within <4 h, while simultaneously generating recoverable glycerol stocks of each colony in real time. This showcases LA-REIMS as a prescreening tool to complement downstream quantification methods such as liquid chromatography-mass spectroscopy (LCMS). By prescreening several hundred colonies with LA-REIMS, we successfully isolate and verify a strain with a 2.5-fold improvement in betulinic acid production. Finally, we show that LA-REIMS can detect 20 out of a panel of 27 diverse biological molecules, demonstrating the broad applicability of LA-REIMS to metabolite detection. The rapid and automated nature of LA-REIMS makes this a valuable new technology to complement existing screening technologies currently employed in academic and industrial workflows.
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Affiliation(s)
- Glen-Oliver F. Gowers
- Imperial College Centre for Synthetic Biology (IC−CSynB), Imperial College London, London SW7 2AZ, United Kingdom
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Simon J. S. Cameron
- Section of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
- Ambimass, London W12 0BZ, United Kingdom
| | - Alvaro Perdones-Montero
- Section of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
- Ambimass, London W12 0BZ, United Kingdom
| | - David Bell
- SynbiCITE, Imperial College London, London SW7 2AZ, United Kingdom
| | - Soo Mei Chee
- SynbiCITE, Imperial College London, London SW7 2AZ, United Kingdom
| | - Marcelo Kern
- GlaxoSmithKline, Stevenage SG1 2NY, United Kingdom
| | - David Tew
- GlaxoSmithKline, Stevenage SG1 2NY, United Kingdom
| | - Tom Ellis
- Imperial College Centre for Synthetic Biology (IC−CSynB), Imperial College London, London SW7 2AZ, United Kingdom
- Department of Bioengineering, Imperial College London, London SW7 2AZ, United Kingdom
| | - Zoltan Takáts
- Section of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, United Kingdom
- Ambimass, London W12 0BZ, United Kingdom
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27
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Cameron SJS, Alexander JL, Bolt F, Burke A, Ashrafian H, Teare J, Marchesi JR, Kinross J, Li JV, Takáts Z. Evaluation of Direct from Sample Metabolomics of Human Feces Using Rapid Evaporative Ionization Mass Spectrometry. Anal Chem 2019; 91:13448-13457. [DOI: 10.1021/acs.analchem.9b02358] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Affiliation(s)
- Simon J. S. Cameron
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - James L. Alexander
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - Frances Bolt
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - Adam Burke
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - Hutan Ashrafian
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - Julian Teare
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - Julian R. Marchesi
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
- School of Biosciences, Cardiff University, Cardiff CF10 3AX, U.K
| | - James Kinross
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - Jia V. Li
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
| | - Zoltán Takáts
- Department of Surgery and Cancer, Imperial College London, London SW7 2AZ, U.K
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Gabaldón T. Recent trends in molecular diagnostics of yeast infections: from PCR to NGS. FEMS Microbiol Rev 2019; 43:517-547. [PMID: 31158289 PMCID: PMC8038933 DOI: 10.1093/femsre/fuz015] [Citation(s) in RCA: 63] [Impact Index Per Article: 12.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2019] [Accepted: 05/31/2019] [Indexed: 12/29/2022] Open
Abstract
The incidence of opportunistic yeast infections in humans has been increasing over recent years. These infections are difficult to treat and diagnose, in part due to the large number and broad diversity of species that can underlie the infection. In addition, resistance to one or several antifungal drugs in infecting strains is increasingly being reported, severely limiting therapeutic options and showcasing the need for rapid detection of the infecting agent and its drug susceptibility profile. Current methods for species and resistance identification lack satisfactory sensitivity and specificity, and often require prior culturing of the infecting agent, which delays diagnosis. Recently developed high-throughput technologies such as next generation sequencing or proteomics are opening completely new avenues for more sensitive, accurate and fast diagnosis of yeast pathogens. These approaches are the focus of intensive research, but translation into the clinics requires overcoming important challenges. In this review, we provide an overview of existing and recently emerged approaches that can be used in the identification of yeast pathogens and their drug resistance profiles. Throughout the text we highlight the advantages and disadvantages of each methodology and discuss the most promising developments in their path from bench to bedside.
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Affiliation(s)
- Toni Gabaldón
- Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain
- Universitat Pompeu Fabra (UPF), 08003 Barcelona, Spain
- ICREA, Pg Lluís Companys 23, 08010 Barcelona, Spain
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29
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Davidson NB, Koch NI, Sarsby J, Jones E, Hurst JL, Beynon RJ. Rapid identification of species, sex and maturity by mass spectrometric analysis of animal faeces. BMC Biol 2019; 17:66. [PMID: 31412863 PMCID: PMC6693146 DOI: 10.1186/s12915-019-0686-9] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2019] [Accepted: 07/26/2019] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND We describe a new approach to the recovery of information from faecal samples, based on the analysis of the molecular signature generated by rapid evaporative ionisation mass spectrometry (REIMS). RESULTS Faecal pellets from five different rodent species were analysed by REIMS, and complex mass spectra were acquired rapidly (typically a few seconds per sample). The uninterpreted mass spectra (signatures) were then used to seed linear discriminant analysis and classification models based on random forests. It was possible to classify each species of origin with a high rate of accuracy, whether faeces were from animals maintained under standard laboratory conditions or wild-caught. REIMS signatures were stable to prior storage of the faecal material under a range of different conditions and were not altered rapidly or radically by changes in diet. Further, within species, REIMS signatures could be used to discriminate faeces from adult versus juvenile mice, male versus female mice and those from three different laboratory strains. CONCLUSIONS REIMS offers a completely novel method for the rapid analysis of faecal samples, extending faecal analysis (previously focused on DNA) to an assessment of phenotype, and has considerable potential as a new tool in the armamentarium of the field biologist.
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Affiliation(s)
- Nicola B Davidson
- Mammalian Behaviour and Evolution Group, Institute of Integrative Biology, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK
| | - Natalie I Koch
- Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Joscelyn Sarsby
- Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Emrys Jones
- Waters Corporation, Stamford Avenue, Altrincham Road, Wilmslow, SK9 4AX, UK
| | - Jane L Hurst
- Mammalian Behaviour and Evolution Group, Institute of Integrative Biology, University of Liverpool, Leahurst Campus, Neston, CH64 7TE, UK.
| | - Robert J Beynon
- Centre for Proteome Research, Institute of Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK.
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Welker M, Van Belkum A, Girard V, Charrier JP, Pincus D. An update on the routine application of MALDI-TOF MS in clinical microbiology. Expert Rev Proteomics 2019; 16:695-710. [PMID: 31315000 DOI: 10.1080/14789450.2019.1645603] [Citation(s) in RCA: 43] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Introduction: Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has entered clinical diagnostics and is today a generally accepted and integral part of the workflow for microbial identification. MALDI-TOF MS identification systems received approval from national and international institutions, such as the USA-FDA, and are continuously improved and adopted to other fields like veterinary and industrial microbiology. The question is whether MALDI-TOF MS also has the potential to replace other conventional and molecular techniques operated in routine diagnostic laboratories. Areas covered: We give an overview of new advancements of mass spectral analysis in the context of microbial diagnostics. In particular, the expansion of databases to increase the range of readily identifiable bacteria and fungi, the refined discrimination of species complexes, subspecies, and types, the testing for antibiotic resistance or susceptibility, progress in sample preparation including automation, and applications of other mass spectrometry techniques are discussed. Expert opinion: Although many new approaches of MALDI-TOF MS are still in the stage of proof of principle, it is expectable that MALDI-TOF MS will expand its role in the clinical microbiology laboratory of the future. New databases, instruments and analytical software modules will continue to be developed to further improve diagnostic efficacy.
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Affiliation(s)
- Martin Welker
- bioMérieux, Microbiology R&D , La Balme Les Grottes , France
| | - Alex Van Belkum
- bioMérieux, Microbiology R&D , La Balme Les Grottes , France
| | - Victoria Girard
- bioMérieux, Microbiology R&D , La Balme Les Grottes , France
| | | | - David Pincus
- bioMérieux, Microbiology Innovation , Hazelwood , MO , USA
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31
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Jones EA, Simon D, Karancsi T, Balog J, Pringle SD, Takats Z. Matrix Assisted Rapid Evaporative Ionization Mass Spectrometry. Anal Chem 2019; 91:9784-9791. [PMID: 31194519 DOI: 10.1021/acs.analchem.9b01441] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Rapid evaporative ionization mass spectrometry (REIMS) is a highly versatile technique allowing the sampling of a range of biological solid or liquid samples with no sample preparation. The cost of such a direct approach is that certain sample types provide only moderate amounts of chemical information. Here, we introduce a matrix assisted version of the technique (MA-REIMS), where an aerosol of a pure solvent, such as isopropanol, is mixed with the sample aerosol generated by rapid evaporation of the sample, and it is shown to enhance the signal intensity obtained from a REIMS sampling event by over 2 orders of magnitude. Such an increase greatly expands the scope of the technique, while providing additional benefits such as reducing the fouling of the REIMS source and allowing for a simple method of constant introduction of a calibration correction compound for accurate mass measurements. A range of experiments are presented in order to investigate the processes that occur within this modified approach, and applications where such enhancements are critical, such as intrasurgical tissue identification, are discussed.
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Affiliation(s)
- Emrys A Jones
- Waters Corporation , Altrincham Road , Wilmslow SK9 4AX , United Kingdom
| | - Daniel Simon
- Waters Research Center , Graphisoft Park, 7 Zahony Street , Budapest 1031 , Hungary
| | - Tamas Karancsi
- Waters Research Center , Graphisoft Park, 7 Zahony Street , Budapest 1031 , Hungary
| | - Julia Balog
- Waters Research Center , Graphisoft Park, 7 Zahony Street , Budapest 1031 , Hungary
| | - Steven D Pringle
- Waters Corporation , Altrincham Road , Wilmslow SK9 4AX , United Kingdom
| | - Zoltan Takats
- Imperial College London , South Kensington, London SW7 2AZ , United Kingdom
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32
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Real time human micro-organisms biotyping based on Water-Assisted Laser Desorption/Ionization. EUROBIOTECH JOURNAL 2019. [DOI: 10.2478/ebtj-2019-0011] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Abstract
We previously demonstrated that remote infrared Matrix Assisted Laser Desorption Ionization technology (Spidermass) using endogenous water as matrix (or so called water assisted laser desorption/ionization) was enabling real-time in vitro and in vivo analysis of clinical pathological tissues. In the present work, Spidermass was used to biotype human pathogens either from liquid bacteria growth in time course, from petri dish or on smears. Reproducibility experiments as well as bacteria dispersion and lipids identifications with SpiderMass in MS/MS mode were undertaken. The whole of the data establish that SpiderMass instrument allows real time bacteria biotyping and can be useful in clinic for pathogen identification.
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33
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Woolman M, Zarrine-Afsar A. Platforms for rapid cancer characterization by ambient mass spectrometry: advancements, challenges and opportunities for improvement towards intrasurgical use. Analyst 2019; 143:2717-2722. [PMID: 29786708 DOI: 10.1039/c8an00310f] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Ambient Mass Spectrometry (MS) analysis is widely used to characterize biological and non-biological samples. Advancements that allow rapid analysis of samples by ambient methods such as Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) and Rapid Evaporative Ionization Mass Spectrometry (REIMS) are discussed. A short, non-comprehensive overview of ambient MS is provided that only contains example applications due to space limitations. A spatially encoded mass spectrometry analysis concept to plan cancer resection is introduced. The application of minimally destructive tissue ablation probes to survey the surgical field for sites of pathology using on-line analysis methods is discussed. The technological challenges that must be overcome for ambient MS to become a robust method for intrasurgical pathology assessments are reviewed.
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Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada.
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34
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Utilisation of Ambient Laser Desorption Ionisation Mass Spectrometry (ALDI-MS) Improves Lipid-Based Microbial Species Level Identification. Sci Rep 2019; 9:3006. [PMID: 30816263 PMCID: PMC6395639 DOI: 10.1038/s41598-019-39815-w] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2018] [Accepted: 01/30/2019] [Indexed: 02/08/2023] Open
Abstract
The accurate and timely identification of the causative organism of infection is important in ensuring the optimum treatment regimen is prescribed for a patient. Rapid evaporative ionisation mass spectrometry (REIMS), using electrical diathermy for the thermal disruption of a sample, has been shown to provide fast and accurate identification of microorganisms directly from culture. However, this method requires contact to be made between the REIMS probe and microbial biomass; resulting in the necessity to clean or replace the probes between analyses. Here, optimisation and utilisation of ambient laser desorption ionisation (ALDI) for improved speciation accuracy and analytical throughput is shown. Optimisation was completed on 15 isolates of Escherichia coli, showing 5 W in pulsatile mode produced the highest signal-to-noise ratio. These parameters were used in the analysis of 150 clinical isolates from ten microbial species, resulting in a speciation accuracy of 99.4% - higher than all previously reported REIMS modalities. Comparison of spectral data showed high levels of similarity between previously published electrical diathermy REIMS data. ALDI does not require contact to be made with the sample during analysis, meaning analytical throughput can be substantially improved, and further, increases the range of sample types which can be analysed in potential direct-from-sample pathogen detection.
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35
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Segal JP, Mullish BH, Quraishi MN, Acharjee A, Williams HRT, Iqbal T, Hart AL, Marchesi JR. The application of omics techniques to understand the role of the gut microbiota in inflammatory bowel disease. Therap Adv Gastroenterol 2019; 12:1756284818822250. [PMID: 30719076 PMCID: PMC6348496 DOI: 10.1177/1756284818822250] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2018] [Accepted: 11/23/2018] [Indexed: 02/04/2023] Open
Abstract
The aetiopathogenesis of inflammatory bowel diseases (IBD) involves the complex interaction between a patient's genetic predisposition, environment, gut microbiota and immune system. Currently, however, it is not known if the distinctive perturbations of the gut microbiota that appear to accompany both Crohn's disease and ulcerative colitis are the cause of, or the result of, the intestinal inflammation that characterizes IBD. With the utilization of novel systems biology technologies, we can now begin to understand not only details about compositional changes in the gut microbiota in IBD, but increasingly also the alterations in microbiota function that accompany these. Technologies such as metagenomics, metataxomics, metatranscriptomics, metaproteomics and metabonomics are therefore allowing us a deeper understanding of the role of the microbiota in IBD. Furthermore, the integration of these systems biology technologies through advancing computational and statistical techniques are beginning to understand the microbiome interactions that both contribute to health and diseased states in IBD. This review aims to explore how such systems biology technologies are advancing our understanding of the gut microbiota, and their potential role in delineating the aetiology, development and clinical care of IBD.
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Affiliation(s)
- Jonathan P. Segal
- Inflammatory Bowel Disease Department, St Mark’s Hospital, Harrow HA1 3UJ, UK
| | - Benjamin H. Mullish
- Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK
| | - Mohammed Nabil Quraishi
- Institute of Immunology and Immunotherapy, University of Birmingham, Department of Gastroenterology, University Hospital, Birmingham, UK
| | - Animesh Acharjee
- College of Medical and Dental Sciences, Institute of Cancer and Genomic Sciences, Centre for Computational Biology, University of Birmingham, Birmingham, UK
- Institute of Translational Medicine, University Hospitals Birmingham NHS Foundation Trust, Birmingham, UK
- NIHR Surgical Reconstruction and Microbiology Research Centre, Birmingham, UK
| | - Horace R. T. Williams
- Division of Integrative Systems Medicine and Digestive Disease, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, UK
| | - Tariq Iqbal
- Institute of Immunology and Immunotherapy, University of Birmingham, Department of Gastroenterology, University Hospital, Birmingham, UK
| | - Ailsa L. Hart
- Inflammatory Bowel Disease Department, St Mark’s Hospital, Harrow, UK
- Department of Surgery and Cancer, Division of Integrative Systems Medicine and Digestive Disease, Faculty of Medicine, Imperial College, London, UK
| | - Julian R. Marchesi
- Department of Surgery and Cancer, Division of Integrative Systems Medicine and Digestive Disease, Faculty of Medicine, Imperial College, London, UK
- School of Biosciences, Cardiff University, Cardiff, UK
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36
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Kailasa SK, Koduru JR, Park TJ, Wu HF, Lin YC. Progress of electrospray ionization and rapid evaporative ionization mass spectrometric techniques for the broad-range identification of microorganisms. Analyst 2019; 144:1073-1103. [DOI: 10.1039/c8an02034e] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Electrospray ionization and rapid evaporative ionization mass spectrometric techniques have attracted much attention in the identification of microorganisms, and in the diagnosis of bacterial infections from clinical samples.
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Affiliation(s)
- Suresh Kumar Kailasa
- Department of Applied Chemistry
- S. V. National Institute of Technology
- Surat – 395007
- India
- Department of Chemistry
| | | | - Tae Jung Park
- Department of Chemistry
- Institute of Interdisciplinary Convergence Research
- Research Institute of Halal Industrialization Technology
- Chung-Ang University
- Seoul 06974
| | - Hui-Fen Wu
- Department of Chemistry
- National Sun Yat-Sen University
- Kaohsiung
- Taiwan
- Center for Nanoscience and Nanotechnology
| | - Ying-Chi Lin
- School of Pharmacy
- Kaohsiung Medical University
- Kaohsiung
- Taiwan
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37
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Cameron SJ, Takáts Z. Mass spectrometry approaches to metabolic profiling of microbial communities within the human gastrointestinal tract. Methods 2018; 149:13-24. [DOI: 10.1016/j.ymeth.2018.04.027] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 04/05/2018] [Accepted: 04/22/2018] [Indexed: 12/14/2022] Open
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Bodai Z, Cameron S, Bolt F, Simon D, Schaffer R, Karancsi T, Balog J, Rickards T, Burke A, Hardiman K, Abda J, Rebec M, Takats Z. Effect of Electrode Geometry on the Classification Performance of Rapid Evaporative Ionization Mass Spectrometric (REIMS) Bacterial Identification. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:26-33. [PMID: 29038998 PMCID: PMC5785610 DOI: 10.1007/s13361-017-1818-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2017] [Revised: 08/31/2017] [Accepted: 09/17/2017] [Indexed: 06/07/2023]
Abstract
The recently developed automated, high-throughput monopolar REIMS platform is suited for the identification of clinically important microorganisms. Although already comparable to the previously reported bipolar forceps method, optimization of the geometry of monopolar electrodes, at the heart of the system, holds the most scope for further improvements to be made. For this, sharp tip and round shaped electrodes were optimized to maximize species-level classification accuracy. Following optimization of the distance between the sample contact point and tube inlet with the sharp tip electrodes, the overall cross-validation accuracy improved from 77% to 93% in negative and from 33% to 63% in positive ion detection modes, compared with the original 4 mm distance electrode. As an alternative geometry, round tube shaped electrodes were developed. Geometry optimization of these included hole size, number, and position, which were also required to prevent plate pick-up due to vacuum formation. Additional features, namely a metal "X"-shaped insert and a pin in the middle were included to increase the contact surface with a microbial biomass to maximize aerosol production. Following optimization, cross-validation scores showed improvement in classification accuracy from 77% to 93% in negative and from 33% to 91% in positive ion detection modes. Supervised models were also built, and after the leave 20% out cross-validation, the overall classification accuracy was 98.5% in negative and 99% in positive ion detection modes. This suggests that the new generation of monopolar REIMS electrodes could provide substantially improved species level identification accuracies in both polarity detection modes. Graphical abstract.
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Affiliation(s)
- Zsolt Bodai
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK.
| | - Simon Cameron
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Frances Bolt
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Daniel Simon
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Richard Schaffer
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Tamas Karancsi
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Julia Balog
- Waters Research Center, 7 Zahony Street, Budapest, 1031, Hungary
| | - Tony Rickards
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
- Department of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London, W6 8RF, UK
| | - Adam Burke
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Kate Hardiman
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Julia Abda
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
| | - Monica Rebec
- Department of Microbiology, Imperial College Healthcare NHS Trust, Charing Cross Hospital, London, W6 8RF, UK
| | - Zoltan Takats
- Division of Computational and Systems Medicine, Department of Surgery and Cancer, Imperial College London, London, SW7 2AZ, UK
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Pruski P, MacIntyre DA, Lewis HV, Inglese P, Correia GDS, Hansel TT, Bennett PR, Holmes E, Takats Z. Medical Swab Analysis Using Desorption Electrospray Ionization Mass Spectrometry: A Noninvasive Approach for Mucosal Diagnostics. Anal Chem 2017; 89:1540-1550. [PMID: 28208268 DOI: 10.1021/acs.analchem.6b03405] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Medical swabs are routinely used worldwide to sample human mucosa for microbiological screening with culture methods. These are usually time-consuming and have a narrow focus on screening for particular microorganism species. As an alternative, direct mass spectrometric profiling of the mucosal metabolome provides a broader window into the mucosal ecosystem. We present for the first time a minimal effort/minimal-disruption technique for augmenting the information obtained from clinical swab analysis with mucosal metabolome profiling using desorption electrospray ionization mass spectrometry (DESI-MS) analysis. Ionization of mucosal biomass occurs directly from a standard rayon swab mounted on a rotating device and analyzed by DESI MS using an optimized protocol considering swab-inlet geometry, tip-sample angles and distances, rotation speeds, and reproducibility. Multivariate modeling of mass spectral fingerprints obtained in this way readily discriminate between different mucosal surfaces and display the ability to characterize biochemical alterations induced by pregnancy and bacterial vaginosis (BV). The method was also applied directly to bacterial biomass to confirm the ability to detect intact bacterial species from a swab. These results highlight the potential of direct swab analysis by DESI-MS for a wide range of clinical applications including rapid mucosal diagnostics for microbiology, immune responses, and biochemistry.
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Affiliation(s)
- Pamela Pruski
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - David A MacIntyre
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Imperial College London , London, W12 0NN, United Kingdom
| | - Holly V Lewis
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Imperial College London , London, W12 0NN, United Kingdom
| | - Paolo Inglese
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Gonçalo D S Correia
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Trevor T Hansel
- Imperial Clinical Respiratory Research Unit (ICRRU), St Mary's Hospital, Mint Wing, Imperial College London , London, W2 INY, United Kingdom
| | - Phillip R Bennett
- Imperial College Parturition Research Group, Institute of Reproductive and Developmental Biology, Imperial College London , London, W12 0NN, United Kingdom
| | - Elaine Holmes
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
| | - Zoltan Takats
- Computational and Systems Medicine, Imperial College London , South Kensington Campus, London, SW7 2AZ, United Kingdom
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Gómez-Ríos GA, Vasiljevic T, Gionfriddo E, Yu M, Pawliszyn J. Towards on-site analysis of complex matrices by solid-phase microextraction-transmission mode coupled to a portable mass spectrometer via direct analysis in real time. Analyst 2017; 142:2928-2935. [DOI: 10.1039/c7an00718c] [Citation(s) in RCA: 56] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
On-site analysis of complex matrices by SPME-TM coupled to a portable mass spectrometer via DART.
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Affiliation(s)
| | | | | | - Miao Yu
- Department of Chemistry
- University of Waterloo
- Ontario
- Canada N2L 3G1
| | - Janusz Pawliszyn
- Department of Chemistry
- University of Waterloo
- Ontario
- Canada N2L 3G1
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