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Sorokin AA, Pekov SI, Zavorotnyuk DS, Shamraeva MM, Bormotov DS, Popov IA. Modern machine-learning applications in ambient ionization mass spectrometry. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38671553 DOI: 10.1002/mas.21886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 03/29/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024]
Abstract
This article provides a comprehensive overview of the applications of methods of machine learning (ML) and artificial intelligence (AI) in ambient ionization mass spectrometry (AIMS). AIMS has emerged as a powerful analytical tool in recent years, allowing for rapid and sensitive analysis of various samples without the need for extensive sample preparation. The integration of ML/AI algorithms with AIMS has further expanded its capabilities, enabling enhanced data analysis. This review discusses ML/AI algorithms applicable to the AIMS data and highlights the key advancements and potential benefits of utilizing ML/AI in the field of mass spectrometry, with a focus on the AIMS community.
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Affiliation(s)
- Anatoly A Sorokin
- Laboratory of Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Stanislav I Pekov
- Mass Spectrometry Laboratory, Skolkovo Institute of Science and Technology, Moscow, Russia
- Translational Medicine Laboratory, Siberian State Medical University, Tomsk, Russia
- Department for Molecular and Biological Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Denis S Zavorotnyuk
- Laboratory of Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Mariya M Shamraeva
- Laboratory of Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Denis S Bormotov
- Laboratory of Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
| | - Igor A Popov
- Laboratory of Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia
- Translational Medicine Laboratory, Siberian State Medical University, Tomsk, Russia
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2
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Pekov SI, Bormotov DS, Bocharova SI, Sorokin AA, Derkach MM, Popov IA. Mass spectrometry for neurosurgery: Intraoperative support in decision-making. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38571445 DOI: 10.1002/mas.21883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 02/29/2024] [Accepted: 03/23/2024] [Indexed: 04/05/2024]
Abstract
Ambient ionization mass spectrometry was proved to be a powerful tool for oncological surgery. Still, it remains a translational technique on the way from laboratory to clinic. Brain surgery is the most sensitive to resection accuracy field since the balance between completeness of resection and minimization of nerve fiber damage determines patient outcome and quality of life. In this review, we summarize efforts made to develop various intraoperative support techniques for oncological neurosurgery and discuss difficulties arising on the way to clinical implementation of mass spectrometry-guided brain surgery.
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Affiliation(s)
- Stanislav I Pekov
- Skolkovo Institute of Science and Technology, Moscow, Russian Federation
- Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
- Siberian State Medical University, Tomsk, Russian Federation
| | - Denis S Bormotov
- Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
| | | | - Anatoly A Sorokin
- Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
| | - Maria M Derkach
- Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
| | - Igor A Popov
- Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
- Siberian State Medical University, Tomsk, Russian Federation
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3
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Manoli E, Higginson J, Tolley N, Darzi A, Kinross J, Temelkuran B, Takats Z. Human robotic surgery with intraoperative tissue identification using rapid evaporation ionisation mass spectrometry. Sci Rep 2024; 14:1027. [PMID: 38200062 PMCID: PMC10781715 DOI: 10.1038/s41598-023-50942-3] [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: 11/15/2022] [Accepted: 12/28/2023] [Indexed: 01/12/2024] Open
Abstract
Instantaneous, continuous, and reliable information on the molecular biology of surgical target tissue could significantly contribute to the precision, safety, and speed of the intervention. In this work, we introduced a methodology for chemical tissue identification in robotic surgery using rapid evaporative ionisation mass spectrometry. We developed a surgical aerosol evacuation system that is compatible with a robotic platform enabling consistent intraoperative sample collection and assessed the feasibility of this platform during head and neck surgical cases, using two different surgical energy devices. Our data showed specific, characteristic lipid profiles associated with the tissue type including various ceramides, glycerophospholipids, and glycerolipids, as well as different ion formation mechanisms based on the energy device used. This platform allows continuous and accurate intraoperative mass spectrometry-based identification of ablated/resected tissue and in combination with robotic registration of images, time, and anatomical positions can improve the current robot-assisted surgical platforms and guide surgical strategy.
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Affiliation(s)
- Eftychios Manoli
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - James Higginson
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
| | - Neil Tolley
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Ara Darzi
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - James Kinross
- Department of Surgery and Cancer, Imperial College London, London, UK
| | - Burak Temelkuran
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK
- The Hamlyn Centre for Robotic Surgery, Imperial College London, London, UK
| | - Zoltan Takats
- Department of Metabolism, Digestion and Reproduction, Imperial College London, London, UK.
- Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Univ. Lille, INSERM U1192, Lille, France.
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4
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Vlocskó M, Piffkó J, Janovszky Á. Intraoperative Assessment of Resection Margin in Oral Cancer: The Potential Role of Spectroscopy. Cancers (Basel) 2023; 16:121. [PMID: 38201548 PMCID: PMC10777979 DOI: 10.3390/cancers16010121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/21/2023] [Accepted: 12/22/2023] [Indexed: 01/12/2024] Open
Abstract
In parallel with the increasing number of oncological cases, the need for faster and more efficient diagnostic tools has also appeared. Different diagnostic approaches are available, such as radiological imaging or histological staining methods, but these do not provide adequate information regarding the resection margin, intraoperatively, or are time consuming. The purpose of this review is to summarize the current knowledge on spectrometric diagnostic modalities suitable for intraoperative use, with an emphasis on their relevance in the management of oral cancer. The literature agrees on the sensitivity, specificity, and accuracy of spectrometric diagnostic modalities, but further long-term prospective, multicentric clinical studies are needed, which may standardize the intraoperative assessment of the resection margin and the use of real-time spectroscopic approaches.
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Affiliation(s)
| | | | - Ágnes Janovszky
- Department of Oral and Maxillofacial Surgery, Albert Szent-Györgyi Medical School, University of Szeged, Kálvária 57, H-6725 Szeged, Hungary; (M.V.); (J.P.)
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5
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Katz L, Kiyota T, Woolman M, Wu M, Pires L, Fiorante A, Ye LA, Leong W, Berman HK, Ghazarian D, Ginsberg HJ, Das S, Aman A, Zarrine-Afsar A. Metabolic Lipids in Melanoma Enable Rapid Determination of Actionable BRAF-V600E Mutation with Picosecond Infrared Laser Mass Spectrometry in 10 s. Anal Chem 2023; 95:14430-14439. [PMID: 37695851 DOI: 10.1021/acs.analchem.3c02901] [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: 09/13/2023]
Abstract
Rapid molecular profiling of biological tissues with picosecond infrared laser mass spectrometry (PIRL-MS) has enabled the detection of clinically important histologic types and molecular subtypes of human cancers in as little as 10 s of data collection and analysis time. Utilizing an engineered cell line model of actionable BRAF-V600E mutation, we observed statistically significant differences in 10 s PIRL-MS molecular profiles between BRAF-V600E and BRAF-wt cells. Multivariate statistical analyses revealed a list of mass-to-charge (m/z) values most significantly responsible for the identification of BRAF-V600E mutation status in this engineered cell line that provided a highly controlled testbed for this observation. These metabolites predicted BRAF-V600E expression in human melanoma cell lines with greater than 98% accuracy. Through chromatography and tandem mass spectrometry analysis of cell line extracts, a 30-member "metabolite array" was characterized for determination of BRAF-V600E expression levels in subcutaneous melanoma xenografts with an average sensitivity and specificity of 95.6% with 10 s PIRL-MS analysis. This proof-of-principle work warrants a future large-scale study to identify a metabolite array for 10 s determination of actionable BRAF-V600E mutation in human tissue to guide patient care.
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Affiliation(s)
- Lauren Katz
- Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada
| | - Taira Kiyota
- Ontario Institute for Cancer Research (OICR), 661 University Avenue, Suite 510, Toronto, ON M5G 0A3, Canada
| | - Michael Woolman
- Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada
| | - Megan Wu
- Peter Gilgan Centre for Research and Learning & Arthur and Sonia Labatt Brain Tumor Research Centre, Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada
| | - Layla Pires
- Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada
| | - Alexa Fiorante
- Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada
| | - Lan Anna Ye
- Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada
| | - Wey Leong
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, ON M5G 2C1, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, ON M5T 1P5, Canada
| | - Hal K Berman
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, ON M5G 2C1, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto and the Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, ON M5G 2C4, Canada
| | - Danny Ghazarian
- Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON M5B 1W8, Canada
| | - Howard J Ginsberg
- Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, ON M5T 1P5, Canada
- Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON M5B 1W8, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, 1 King's College Circle, Sixth Floor, Toronto, ON M5S 1A8, Canada
| | - Sunit Das
- Peter Gilgan Centre for Research and Learning & Arthur and Sonia Labatt Brain Tumor Research Centre, Hospital for Sick Children, 686 Bay Street, Toronto, ON M5G 0A4, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, ON M5T 1P5, Canada
| | - Ahmed Aman
- Ontario Institute for Cancer Research (OICR), 661 University Avenue, Suite 510, Toronto, ON M5G 0A3, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, 144 College St, Toronto, ON M5S 3M2, Canada
| | - Arash Zarrine-Afsar
- Princess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, ON M5G 1L7, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, ON M5T 1P5, Canada
- Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON M5B 1W8, Canada
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6
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Stadlhofer R, Moritz M, Fuh MM, Heeren J, Zech H, Clauditz TS, Schlüter H, Betz CS, Eggert D, Böttcher A, Hahn J. Lipidome Analysis of Oropharyngeal Tumor Tissues Using Nanosecond Infrared Laser (NIRL) Tissue Sampling and Subsequent Mass Spectrometry. Int J Mol Sci 2023; 24:ijms24097820. [PMID: 37175533 PMCID: PMC10178251 DOI: 10.3390/ijms24097820] [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: 03/23/2023] [Revised: 04/16/2023] [Accepted: 04/21/2023] [Indexed: 05/15/2023] Open
Abstract
Ultrashort pulse infrared lasers can simultaneously sample and homogenize biological tissue using desorption by impulsive vibrational excitation (DIVE). With growing attention on alterations in lipid metabolism in malignant disease, mass spectrometry (MS)-based lipidomic analysis has become an emerging topic in cancer research. In this pilot study, we investigated the feasibility of tissue sampling with a nanosecond infrared laser (NIRL) for the subsequent lipidomic analysis of oropharyngeal tissues, and its potential to discriminate oropharyngeal squamous cell carcinoma (OPSCC) from non-tumorous oropharyngeal tissue. Eleven fresh frozen oropharyngeal tissue samples were ablated. The produced aerosols were collected by a glass fiber filter, and the lipidomes were analyzed with mass spectrometry. Data was evaluated by principal component analysis and Welch's t-tests. Lipid profiles comprised 13 lipid classes and up to 755 lipid species. We found significant inter- and intrapatient alterations in lipid profiles for tumor and non-tumor samples (p-value < 0.05, two-fold difference). Thus, NIRL tissue sampling with consecutive MS lipidomic analysis is a feasible and promising approach for the differentiation of OPSCC and non-tumorous oropharyngeal tissue and may provide new insights into lipid composition alterations in OPSCC.
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Affiliation(s)
- Rupert Stadlhofer
- Department of Otorhinolaryngology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Manuela Moritz
- Section/Core Facility Mass Spectrometric Proteomics, Diagnostic Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Marceline M Fuh
- Department of Biochemistry and Molecular Cell Biology, Center for Experimental Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Jörg Heeren
- Department of Biochemistry and Molecular Cell Biology, Center for Experimental Medicine, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Henrike Zech
- Department of Otorhinolaryngology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
- Mildred Scheel Cancer Career Center HaTriCS4, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Till S Clauditz
- Department of Pathology, Diagnostic Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Hartmut Schlüter
- Section/Core Facility Mass Spectrometric Proteomics, Diagnostic Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Christian S Betz
- Department of Otorhinolaryngology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Dennis Eggert
- Department of Otorhinolaryngology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Arne Böttcher
- Department of Otorhinolaryngology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Jan Hahn
- Section/Core Facility Mass Spectrometric Proteomics, Diagnostic Center, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
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7
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Katz L, Woolman M, Kiyota T, Pires L, Zaidi M, Hofer SO, Leong W, Wouters BG, Ghazarian D, Chan AW, Ginsberg HJ, Aman A, Wilson BC, Berman HK, Zarrine-Afsar A. Picosecond Infrared Laser Mass Spectrometry Identifies a Metabolite Array for 10 s Diagnosis of Select Skin Cancer Types: A Proof-of-Concept Feasibility Study. Anal Chem 2022; 94:16821-16830. [DOI: 10.1021/acs.analchem.2c03918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Affiliation(s)
- Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Taira Kiyota
- Ontario Institute for Cancer Research (OICR), 661 University Ave Suite 510, Toronto, Ontario M5G 0A3, Canada
| | - Layla Pires
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, Ontario M5G 2C1, Canada
| | - Mark Zaidi
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Stefan O.P. Hofer
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada
- Division of Plastic and Reconstructive Surgery, Department of Surgery and Surgical Oncology, University Health Network, University of Toronto. Toronto General Hospital, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Wey Leong
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, Ontario M5G 2C1, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada
- Department of Surgical Oncology, Princess Margaret Cancer Centre, University Health Network, Toronto Ontario M5G 2C1, Canada
| | - Brad G. Wouters
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, Ontario M5G 2C1, Canada
| | - Danny Ghazarian
- Department of Laboratory Medicine and Pathobiology, University of Toronto and University Health Network, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - An-Wen Chan
- Division of Dermatology, Department of Medicine, University of Toronto, Canada and Women’s College Research Institute, Women’s College Hospital, 76 Grenville St, Toronto, Ontario M5S 1B2, Canada
| | - Howard J. Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada
- Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada
| | - Ahmed Aman
- Ontario Institute for Cancer Research (OICR), 661 University Ave Suite 510, Toronto, Ontario M5G 0A3, Canada
- Leslie Dan, Faculty of Pharmacy, University of Toronto, 144 College St, Toronto, Ontario M5S 3M2, Canada
| | - Brian C. Wilson
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, Ontario M5G 2C1, Canada
| | - Hal K. Berman
- Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, Toronto, Ontario M5G 2C1, Canada
- Laboratory Medicine Program, University Health Network, 200 Elizabeth Street, Toronto, Ontario M5G 2C4, Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada
- Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada
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8
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Mass Spectrometry Imaging Spatial Tissue Analysis toward Personalized Medicine. LIFE (BASEL, SWITZERLAND) 2022; 12:life12071037. [PMID: 35888125 PMCID: PMC9318569 DOI: 10.3390/life12071037] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Revised: 07/04/2022] [Accepted: 07/10/2022] [Indexed: 12/19/2022]
Abstract
Novel profiling methodologies are redefining the diagnostic capabilities and therapeutic approaches towards more precise and personalized healthcare. Complementary information can be obtained from different omic approaches in combination with the traditional macro- and microscopic analysis of the tissue, providing a more complete assessment of the disease. Mass spectrometry imaging, as a tissue typing approach, provides information on the molecular level directly measured from the tissue. Lipids, metabolites, glycans, and proteins can be used for better understanding imbalances in the DNA to RNA to protein translation, which leads to aberrant cellular behavior. Several studies have explored the capabilities of this technology to be applied to tumor subtyping, patient prognosis, and tissue profiling for intraoperative tissue evaluation. In the future, intercenter studies may provide the needed confirmation on the reproducibility, robustness, and applicability of the developed classification models for tissue characterization to assist in disease management.
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Wilson BC, Eu D. Optical Spectroscopy and Imaging in Surgical Management of Cancer Patients. TRANSLATIONAL BIOPHOTONICS 2022. [DOI: 10.1002/tbio.202100009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Affiliation(s)
- Brian C. Wilson
- Princess Margaret Cancer Centre/University Health Network 101 College Street Toronto Ontario Canada
- Department of Medical Biophysics, Faculty of Medicine University of Toronto Canada
| | - Donovan Eu
- Department of Otolaryngology‐Head and Neck Surgery‐Surgical Oncology, Princess Margaret Cancer Centre/University Health Network University of Toronto Canada
- Department of Otolaryngology‐Head and Neck Surgery National University Hospital System Singapore
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10
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Metabolomic Phenotyping of Gliomas: What Can We Get with Simplified Protocol for Intact Tissue Analysis? Cancers (Basel) 2022; 14:cancers14020312. [PMID: 35053475 PMCID: PMC8773998 DOI: 10.3390/cancers14020312] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/02/2022] [Accepted: 01/05/2022] [Indexed: 12/17/2022] Open
Abstract
Glioblastoma multiforme is one of the most malignant neoplasms among humans in their third and fourth decades of life, which is evidenced by short patient survival times and rapid tumor-cell proliferation after radiation and chemotherapy. At present, the diagnosis of gliomas and decisions related to therapeutic strategies are based on genetic testing and histological analysis of the tumor, with molecular biomarkers still being sought to complement the diagnostic panel. This work aims to enable the metabolomic characterization of cancer tissue and the discovery of potential biomarkers via high-resolution mass spectrometry coupled to liquid chromatography and a solvent-free sampling protocol that uses a microprobe to extract metabolites directly from intact tumors. The metabolomic analyses were performed independently from genetic and histological testing and at a later time. Despite the small cohort analyzed in this study, the results indicated that the proposed method is able to identify metabolites associated with different malignancy grades of glioma, as well as IDH and 1p19q codeletion mutations. A comparison of the constellation of identified metabolites and the results of standard tests indicated the validity of using the characterization of one comprehensive tumor phenotype as a reflection of all diagnostically meaningful information. Due to its simplicity, the proposed analytical approach was verified as being compatible with a surgical environment and applicable for large-scale studies.
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11
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Zhou X, Zhang W, Ouyang Z. Recent advances in on-site mass spectrometry analysis for clinical applications. Trends Analyt Chem 2022; 149:116548. [PMID: 35125564 PMCID: PMC8802081 DOI: 10.1016/j.trac.2022.116548] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
In recent years, mass spectrometry (MS) is increasingly attracting interests for clinical applications, which also calls for technical innovations to make a transfer of MS from conventional analytical laboratories to clinics. The system design and analysis procedure should be friendly for novice users and appliable for on-site clinical diagnosis. In addition, the analysis result should be auto-interpreted and reported in formats much simpler than mass spectra. This motivates new ideas for developments in all the aspects of MS. In this review, we report recent advances of direct sampling ionization and miniature MS system, which have been developed targeting clinical and even point-of-care analysis. We also discuss the trend of the development and provide perspective on the technical challenges raised by diseases such as coronavirus SARS-CoV-2.
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Affiliation(s)
- Xiaoyu Zhou
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China
| | - Wenpeng Zhang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China
| | - Zheng Ouyang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Beijing, 100084, China
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12
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Katz L, Tata A, Woolman M, Zarrine-Afsar A. Lipid Profiling in Cancer Diagnosis with Hand-Held Ambient Mass Spectrometry Probes: Addressing the Late-Stage Performance Concerns. Metabolites 2021; 11:metabo11100660. [PMID: 34677375 PMCID: PMC8537725 DOI: 10.3390/metabo11100660] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 09/18/2021] [Accepted: 09/22/2021] [Indexed: 02/06/2023] Open
Abstract
Untargeted lipid fingerprinting with hand-held ambient mass spectrometry (MS) probes without chromatographic separation has shown promise in the rapid characterization of cancers. As human cancers present significant molecular heterogeneities, careful molecular modeling and data validation strategies are required to minimize late-stage performance variations of these models across a large population. This review utilizes parallels from the pitfalls of conventional protein biomarkers in reaching bedside utility and provides recommendations for robust modeling as well as validation strategies that could enable the next logical steps in large scale assessment of the utility of ambient MS profiling for cancer diagnosis. Six recommendations are provided that range from careful initial determination of clinical added value to moving beyond just statistical associations to validate lipid involvements in disease processes mechanistically. Further guidelines for careful selection of suitable samples to capture expected and unexpected intragroup variance are provided and discussed in the context of demographic heterogeneities in the lipidome, further influenced by lifestyle factors, diet, and potential intersect with cancer lipid pathways probed in ambient mass spectrometry profiling studies.
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Affiliation(s)
- Lauren Katz
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada; (L.K.); (M.W.)
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada
| | - Alessandra Tata
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico delle Venezie, Viale Fiume 78, 36100 Vicenza, Italy;
| | - Michael Woolman
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada; (L.K.); (M.W.)
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada
| | - Arash Zarrine-Afsar
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON M5G 1L7, Canada; (L.K.); (M.W.)
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON M5G 1P5, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, ON M5T 1P5, Canada
- Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael’s Hospital, 30 Bond Street, Toronto, ON M5B 1W8, Canada
- Correspondence: ; Tel.: +1-416-581-8473
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13
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Tata A, Marzoli F, Massaro A, Passabì E, Bragolusi M, Negro A, Cristaudo I, Piro R, Belluco S. Assessing direct analysis in real-time mass spectrometry for the identification and serotyping of Legionella pneumophila. J Appl Microbiol 2021; 132:1479-1488. [PMID: 34543502 DOI: 10.1111/jam.15301] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 09/01/2021] [Accepted: 09/05/2021] [Indexed: 12/11/2022]
Abstract
AIMS The efficacy of ambient mass spectrometry to identify and serotype Legionella pneumophila was assessed. To this aim, isolated waterborne colonies were submitted to a rapid extraction method and analysed by direct analysis in real-time mass spectrometry (DART-HRMS). METHODS AND RESULTS The DART-HRMS profiles, coupled with partial least squares discriminant analysis (PLS-DA), were first evaluated for their ability to differentiate Legionella spp. from other bacteria. The resultant classification model achieved an accuracy of 98.1% on validation. Capitalising on these encouraging results, DART-HRMS profiling was explored as an alternative approach for the identification of L. pneumophila sg. 1, L. pneumophila sg. 2-15 and L. non-pneumophila; therefore, a different PLS-DA classifier was built. When tested on a validation set, this second classifier reached an overall accuracy of 95.93%. It identified the harmful L. pneumophila sg. 1 with an impressive specificity (100%) and slightly lower sensitivity (91.7%), and similar performances were reached in the classification of L. pneumophila sg. 2-15 and L. non-pneumophila. CONCLUSIONS The results of this study show the DART-HMRS method has good accuracy, and it is an effective method for Legionella serogroup profiling. SIGNIFICANCE AND IMPACT OF THE STUDY These preliminary findings could open a new avenue for the rapid identification and quick epidemiologic tracing of L. pneumophila, with a consequent improvement to risk assessment.
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Affiliation(s)
- Alessandra Tata
- Istituto Zooprofilattico Sperimentale delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Filippo Marzoli
- Department of Food Safety, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
| | - Andrea Massaro
- Istituto Zooprofilattico Sperimentale delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Eleonora Passabì
- Department of Food Safety, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
| | - Marco Bragolusi
- Istituto Zooprofilattico Sperimentale delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Alessandro Negro
- Istituto Zooprofilattico Sperimentale delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Ilaria Cristaudo
- Department of Food Safety, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
| | - Roberto Piro
- Istituto Zooprofilattico Sperimentale delle Venezie, Laboratorio di Chimica Sperimentale, Vicenza, Italy
| | - Simone Belluco
- Department of Food Safety, Istituto Zooprofilattico Sperimentale delle Venezie, Legnaro, Italy
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14
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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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15
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Zhang J, Sans M, DeHoog RJ, Garza KY, King ME, Feider CL, Bensussan A, Keating MF, Lin JQ, Povilaitis SC, Katta N, Milner TE, Yu W, Nagi C, Dhingra S, Pirko C, Brahmbhatt KA, Van Buren G, Carter S, Thompson A, Grogan RH, Suliburk J, Eberlin LS. Clinical Translation and Evaluation of a Handheld and Biocompatible Mass Spectrometry Probe for Surgical Use. Clin Chem 2021; 67:1271-1280. [PMID: 34263289 DOI: 10.1093/clinchem/hvab098] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2021] [Accepted: 05/05/2021] [Indexed: 11/13/2022]
Abstract
BACKGROUND Intraoperative tissue analysis and identification are critical to guide surgical procedures and improve patient outcomes. Here, we describe the clinical translation and evaluation of the MasSpec Pen technology for molecular analysis of in vivo and freshly excised tissues in the operating room (OR). METHODS An Orbitrap mass spectrometer equipped with a MasSpec Pen interface was installed in an OR. A "dual-path" MasSpec Pen interface was designed and programmed for the clinical studies with 2 parallel systems that facilitated the operation of the MasSpec Pen. The MasSpec Pen devices were autoclaved before each surgical procedure and were used by surgeons and surgical staff during 100 surgeries over a 12-month period. RESULTS Detection of mass spectral profiles from 715 in vivo and ex vivo analyses performed on thyroid, parathyroid, lymph node, breast, pancreatic, and bile duct tissues during parathyroidectomies, thyroidectomies, breast, and pancreatic neoplasia surgeries was achieved. The MasSpec Pen enabled gentle extraction and sensitive detection of various molecular species including small metabolites and lipids using a droplet of sterile water without causing apparent tissue damage. Notably, effective molecular analysis was achieved while no limitations to sequential histologic tissue analysis were identified and no device-related complications were reported for any of the patients. CONCLUSIONS This study shows that the MasSpec Pen system can be successfully incorporated into the OR, allowing direct detection of rich molecular profiles from tissues with a seconds-long turnaround time that could be used to inform surgical and clinical decisions without disrupting tissue analysis workflows.
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Affiliation(s)
- Jialing Zhang
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Marta Sans
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Rachel J DeHoog
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Kyana Y Garza
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Mary E King
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Clara L Feider
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Alena Bensussan
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - Michael F Keating
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | - John Q Lin
- Department of Chemistry, The University of Texas at Austin, Austin, TX
| | | | - Nitesh Katta
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX
| | - Thomas E Milner
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, TX
| | - Wendong Yu
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX
| | - Chandandeep Nagi
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX
| | - Sadhna Dhingra
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX
| | | | | | | | - Stacey Carter
- Department of Surgery, Baylor College of Medicine, Houston, TX
| | | | - Raymon H Grogan
- Department of Surgery, Baylor College of Medicine, Houston, TX
| | - James Suliburk
- Department of Surgery, Baylor College of Medicine, Houston, TX
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX
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16
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Brown HM, Alfaro CM, Pirro V, Dey M, Hattab EM, Cohen-Gadol AA, Cooks RG. Intraoperative Mass Spectrometry Platform for IDH Mutation Status Prediction, Glioma Diagnosis, and Estimation of Tumor Cell Infiltration. J Appl Lab Med 2021; 6:902-916. [PMID: 33523209 PMCID: PMC8266740 DOI: 10.1093/jalm/jfaa233] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2020] [Accepted: 11/23/2020] [Indexed: 12/21/2022]
Abstract
BACKGROUND Surgical tumor resection is the primary treatment option for diffuse glioma, the most common malignant brain cancer. The intraoperative diagnosis of gliomas from tumor core samples can be improved by use of molecular diagnostics. Further, residual tumor at surgical margins is a primary cause of tumor recurrence and malignant progression. This study evaluates a desorption electrospray ionization mass spectrometry (DESI-MS) system for intraoperative isocitrate dehydrogenase (IDH) mutation assessment, estimation of tumor cell infiltration as tumor cell percentage (TCP), and disease status. This information could be used to enhance the extent of safe resection and so potentially improve patient outcomes. METHODS A mobile DESI-MS instrument was modified and used in neurosurgical operating rooms (ORs) on a cohort of 49 human subjects undergoing craniotomy with tumor resection for suspected diffuse glioma. Small tissue biopsies (ntotal = 203) from the tumor core and surgical margins were analyzed by DESI-MS in the OR and classified using univariate and multivariate statistical methods. RESULTS Assessment of IDH mutation status using DESI-MS/MS to measure 2-hydroxyglutarate (2-HG) ion intensities from tumor cores yielded a sensitivity, specificity, and overall diagnostic accuracy of 89, 100, and 94%, respectively (ncore = 71). Assessment of TCP (categorized as low or high) in tumor margin and core biopsies using N-acetyl-aspartic acid (NAA) intensity provided a sensitivity, specificity, and accuracy of 91, 76, and 83%, respectively (ntotal = 203). TCP assessment using lipid profile deconvolution provided sensitivity, specificity, and accuracy of 76, 85, and 81%, respectively (ntotal = 203). Combining the experimental data and using PCA-LDA predictions of disease status, the sensitivity, specificity, and accuracy in predicting disease status are 63%, 83%, and 74%, respectively (ntotal = 203). CONCLUSIONS The DESI-MS system allowed for identification of IDH mutation status, glioma diagnosis, and estimation of tumor cell infiltration intraoperatively in a large human glioma cohort. This methodology should be further refined for clinical diagnostic applications.
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Affiliation(s)
| | - Clint M. Alfaro
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
| | - Valentina Pirro
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
| | - Mahua Dey
- Department of Neurological Surgery, Indiana University School of Medicine, Goodman Campbell Brain and Spine, Indianapolis, IN, USA
| | - Eyas M. Hattab
- Department of Pathology and Laboratory Medicine, University of Louisville, KY, USA
| | - Aaron A. Cohen-Gadol
- Department of Neurological Surgery, Indiana University School of Medicine, Goodman Campbell Brain and Spine, Indianapolis, IN, USA
| | - R. Graham Cooks
- Department of Chemistry, Purdue University, West Lafayette, IN, USA
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17
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Nauta SP, Poeze M, Heeren RMA, Porta Siegel T. Clinical use of mass spectrometry (imaging) for hard tissue analysis in abnormal fracture healing. Clin Chem Lab Med 2021; 58:897-913. [PMID: 32049645 DOI: 10.1515/cclm-2019-0857] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2019] [Accepted: 12/16/2019] [Indexed: 12/23/2022]
Abstract
Common traumas to the skeletal system are bone fractures and injury-related articular cartilage damage. The healing process can be impaired resulting in non-unions in 5-10% of the bone fractures and in post-traumatic osteoarthritis (PTOA) in up to 75% of the cases of cartilage damage. Despite the amount of research performed in the areas of fracture healing and cartilage repair as well as non-unions and PTOA, still, the outcome of a bone fracture or articular cartilage damage cannot be predicted. Here, we discuss known risk factors and key molecules involved in the repair process, together with the main challenges associated with the prediction of outcome of these injuries. Furthermore, we review and discuss the opportunities for mass spectrometry (MS) - an analytical tool capable of detecting a wide variety of molecules in tissues - to contribute to extending molecular understanding of impaired healing and the discovery of predictive biomarkers. Therefore, the current knowledge and challenges concerning MS imaging of bone and cartilage tissue as well as in vivo MS are discussed. Finally, we explore the possibilities of in situ, real-time MS for the prediction of outcome during surgery of bone fractures and injury-related articular cartilage damage.
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Affiliation(s)
- Sylvia P Nauta
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, The Netherlands.,Department of Orthopedic Surgery and Traumasurgery, Maastricht University Medical Center, Maastricht, The Netherlands
| | - Martijn Poeze
- Department of Surgery, Division of Traumasurgery, Maastricht University Medical Center, Maastricht, The Netherlands.,NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Ron M A Heeren
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Tiffany Porta Siegel
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, The Netherlands
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18
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Ogrinc N, Saudemont P, Takats Z, Salzet M, Fournier I. Cancer Surgery 2.0: Guidance by Real-Time Molecular Technologies. Trends Mol Med 2021; 27:602-615. [PMID: 33965341 DOI: 10.1016/j.molmed.2021.04.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 03/30/2021] [Accepted: 04/02/2021] [Indexed: 12/14/2022]
Abstract
In vivo cancer margin delineation during surgery remains a major challenge. Despite the availability of several image guidance techniques and intraoperative assessment, clear surgical margins and debulking efficiency remain scarce. For this reason, there is particular interest in developing rapid intraoperative tools with high sensitivity and specificity to help guide cancer surgery in vivo. Recently, several emerging technologies including intraoperative mass spectrometry have paved the way for molecular guidance in a clinical setting. We evaluate these techniques and assess their relevance for intraoperative surgical guidance and how they can transform the future of molecular cancer surgery, diagnostics, patient management and care.
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Affiliation(s)
- Nina Ogrinc
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Philippe Saudemont
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Zoltan Takats
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France
| | - Michel Salzet
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France; Institut Universitaire de France (IUF), Paris, France.
| | - Isabelle Fournier
- University of Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France; Institut Universitaire de France (IUF), Paris, France.
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19
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Woolman M, Katz L, Tata A, Basu SS, Zarrine-Afsar A. Breaking Through the Barrier: Regulatory Considerations Relevant to Ambient Mass Spectrometry at the Bedside. Clin Lab Med 2021; 41:221-246. [PMID: 34020761 DOI: 10.1016/j.cll.2021.03.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Rapid characterization of tissue disorder using ambient mass spectrometry (MS) techniques, requiring little to no preanalytical preparations of sampled tissues, has been shown using a variety of ion sources and with many disease classes. A brief overview of ambient MS in clinical applications, the state of the art in regulatory affairs, and recommendations to facilitate adoption for use at the bedside are presented. Unique challenges in the validation of untargeted MS methods and additional safety and compliance requirements for deployment within a clinical setting are further discussed. Development of a harmonized validation strategy for ambient MS methods is emphasized.
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Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada; Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada; Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Alessandra Tata
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico delle Venezie, Viale Fiume 78, 36100 Vicenza, Italy
| | - Sankha S Basu
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada; Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada; Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada; Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada.
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20
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Integrated Metabolomics and Transcriptomics Using an Optimised Dual Extraction Process to Study Human Brain Cancer Cells and Tissues. Metabolites 2021; 11:metabo11040240. [PMID: 33919944 PMCID: PMC8070957 DOI: 10.3390/metabo11040240] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/12/2021] [Accepted: 04/12/2021] [Indexed: 11/18/2022] Open
Abstract
The integration of untargeted metabolomics and transcriptomics from the same population of cells or tissue enhances the confidence in the identified metabolic pathways and understanding of the enzyme–metabolite relationship. Here, we optimised a simultaneous extraction method of metabolites/lipids and RNA from ependymoma cells (BXD-1425). Relative to established RNA (mirVana kit) or metabolite (sequential solvent addition and shaking) single extraction methods, four dual-extraction techniques were evaluated and compared (methanol:water:chloroform ratios): cryomill/mirVana (1:1:2); cryomill-wash/Econospin (5:1:2); rotation/phenol-chloroform (9:10:1); Sequential/mirVana (1:1:3). All methods extracted the same metabolites, yet rotation/phenol-chloroform did not extract lipids. Cryomill/mirVana and sequential/mirVana recovered the highest amounts of RNA, at 70 and 68% of that recovered with mirVana kit alone. sequential/mirVana, involving RNA extraction from the interphase of our established sequential solvent addition and shaking metabolomics-lipidomics extraction method, was the most efficient approach overall. Sequential/mirVana was applied to study a) the biological effect caused by acute serum starvation in BXD-1425 cells and b) primary ependymoma tumour tissue. We found (a) 64 differentially abundant metabolites and 28 differentially expressed metabolic genes, discovering four gene-metabolite interactions, and (b) all metabolites and 62% lipids were above the limit of detection, and RNA yield was sufficient for transcriptomics, in just 10 mg of tissue.
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21
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Woolman M, Katz L, Gopinath G, Kiyota T, Kuzan-Fischer CM, Ferry I, Zaidi M, Peters K, Aman A, McKee T, Fu F, Amara-Belgadi S, Daniels C, Wouters BG, Rutka JT, Ginsberg HJ, McIntosh C, Zarrine-Afsar A. Mass Spectrometry Imaging Reveals a Gradient of Cancer-like Metabolic States in the Vicinity of Cancer Not Seen in Morphometric Margins from Microscopy. Anal Chem 2021; 93:4408-4416. [PMID: 33651938 DOI: 10.1021/acs.analchem.0c04129] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Spatially resolved ambient mass spectrometry imaging methods have gained popularity to characterize cancer sites and their borders using molecular changes in the lipidome. This utility, however, is predicated on metabolic homogeneity at the border, which would create a sharp molecular transition at the morphometric borders. We subjected murine models of human medulloblastoma brain cancer to mass spectrometry imaging, a technique that provides a direct readout of tissue molecular content in a spatially resolved manner. We discovered a distance-dependent gradient of cancer-like lipid molecule profiles in the brain tissue within 1.2 mm of the cancer border, suggesting that a cancer-like state progresses beyond the histologic border, into the healthy tissue. The results were further corroborated using orthogonal liquid chromatography and mass spectrometry (LC-MS) analysis of selected tissue regions subjected to laser capture microdissection. LC-MS/MS analysis for robust identification of the affected molecules implied changes in a number of different lipid classes, some of which are metabolized from the essential docosahexaenoic fatty acid (DHA) present in the interstitial fluid. Metabolic molecular borders are thus not as sharp as morphometric borders, and mass spectrometry imaging can reveal molecular nuances not observed with microscopy. Caution must be exercised in interpreting multimodal imaging results stipulated on a coincidental relationship between metabolic and morphometric borders of cancer, at least within animal models used in preclinical research.
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Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Georgia Gopinath
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Taira Kiyota
- Drug Discovery Program, Ontario Institute for Cancer Research, 661 University Avenue, Toronto, Ontario M5G 0A3, Canada
| | - Claudia M Kuzan-Fischer
- Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada.,Developmental & Stem Cell Biology Program, The Hospital for Sick Children, 686 Bay Street, Toronto, Ontario M5G 0A4, Canada
| | - Isabelle Ferry
- Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada.,Developmental & Stem Cell Biology Program, The Hospital for Sick Children, 686 Bay Street, Toronto, Ontario M5G 0A4, Canada
| | - Mark Zaidi
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada.,STTARR Innovation Centre, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Kaitlyn Peters
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Ahmed Aman
- Drug Discovery Program, Ontario Institute for Cancer Research, 661 University Avenue, Toronto, Ontario M5G 0A3, Canada.,Leslie Dan Faculty of Pharmacy, 144 College Street, Toronto, Ontario M5S 3M2, Canada
| | - Trevor McKee
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,STTARR Innovation Centre, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Fred Fu
- STTARR Innovation Centre, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Siham Amara-Belgadi
- Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Craig Daniels
- Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada.,Developmental & Stem Cell Biology Program, The Hospital for Sick Children, 686 Bay Street, Toronto, Ontario M5G 0A4, Canada
| | - Brad G Wouters
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - James T Rutka
- Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario M5G 1X8, Canada
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada.,Keenan Research Center for Biomedical Science & The Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada
| | - Chris McIntosh
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada.,Peter Munk Cardiac Centre, Joint Department of Medical Imaging, University Health Network, Toronto, Ontario M5G 2N2, Canada.,Vector Institute for Artificial Intelligence, Toronto, Ontario M5G 1M1, Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada.,Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada.,Keenan Research Center for Biomedical Science & The Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada
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22
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Tata A, Pallante I, Massaro A, Miano B, Bottazzari M, Fiorini P, Dal Prà M, Paganini L, Stefani A, De Buck J, Piro R, Pozzato N. Serum Metabolomic Profiles of Paratuberculosis Infected and Infectious Dairy Cattle by Ambient Mass Spectrometry. Front Vet Sci 2021; 7:625067. [PMID: 33553289 PMCID: PMC7854907 DOI: 10.3389/fvets.2020.625067] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 12/21/2020] [Indexed: 01/06/2023] Open
Abstract
Mycobacterium avium subsp. paratuberculosis (MAP) is the causative agent of paratuberculosis [Johne's disease (JD)], a chronic disease that causes substantial economic losses in the dairy cattle industry. The long incubation period means clinical signs are visible in animals only after years, and some cases remain undetected because of the subclinical manifestation of the disease. Considering the complexity of JD pathogenesis, animals can be classified as infected, infectious, or affected. The major limitation of currently available diagnostic tests is their failure in detecting infected non-infectious animals. The present study aimed to identify metabolic markers associated with infected and infectious stages of JD. Direct analysis in real time coupled with high resolution mass spectrometry (DART-HRMS) was, hence, applied in a prospective study where cohorts of heifers and cows were followed up annually for 2–4 years. The animals' infectious status was assigned based on a positive result of both serum ELISA and fecal PCR, or culture. The same animals were retrospectively assigned to the status of infected at the previous sampling for which all JD tests were negative. Stored sera from 10 infected animals and 17 infectious animals were compared with sera from 20 negative animals from the same herds. Two extraction protocols and two (-/+) ionization modes were tested. The three most informative datasets out of the four were merged by a mid-level data fusion approach and submitted to partial least squares discriminant analysis (PLS-DA). Compared to the MAP negative subjects, metabolomic analysis revealed the m/z signals of isobutyrate, dimethylethanolamine, palmitic acid, and rhamnitol were more intense in infected animals. Both infected and infectious animals showed higher relative intensities of tryptamine and creatine/creatinine as well as lower relative abundances of urea, glutamic acid and/or pyroglutamic acid. These metabolic differences could indicate altered fat metabolism and reduced energy intake in both infected and infectious cattle. In conclusion, DART-HRMS coupled to a mid-level data fusion approach allowed the molecular features that identified preclinical stages of JD to be teased out.
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Affiliation(s)
- Alessandra Tata
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | - Ivana Pallante
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | - Andrea Massaro
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | - Brunella Miano
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | | | - Paola Fiorini
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | - Mauro Dal Prà
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | - Laura Paganini
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | | | - Jeroen De Buck
- Department of Production Animal Health, University of Calgary, Calgary, AB, Canada
| | - Roberto Piro
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
| | - Nicola Pozzato
- Istituto Zooprofilattico delle Venezie (IZSVe), Legnaro, Italy
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23
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Katz L, Woolman M, Tata A, Zarrine-Afsar A. Potential impact of tissue molecular heterogeneity on ambient mass spectrometry profiles: a note of caution in choosing the right disease model. Anal Bioanal Chem 2020; 413:2655-2664. [PMID: 33247337 DOI: 10.1007/s00216-020-03054-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2020] [Revised: 11/02/2020] [Accepted: 11/10/2020] [Indexed: 02/07/2023]
Abstract
This review provides a summary of known molecular alterations in commonly used cancer models and strives to stipulate how they may affect ambient mass spectrometry profiles. Immortalized cell lines are known to accumulate mutations, and xenografts derived from cell lines are known to contain tumour microenvironment elements from the host animal. While the use of human specimens for mass spectrometry profiling studies is highly encouraged, patient-derived xenografts with low passage numbers could provide an alternative means of amplifying material for ambient MS research when needed. Similarly, genetic preservation of patient tissue seen in some organoid models, further verified by qualitative proteomic and transcriptomic analyses, may argue in favor of organoid suitability for certain ambient profiling studies. However, to choose the appropriate model, pre-evaluation of the model's molecular characteristics in the context of the research question(s) being asked will likely provide the most appropriate strategy to move research forward. This can be achieved by performing comparative ambient MS analysis of the disease model of choice against a small amount of patient tissue to verify concordance. Disease models, however, will continue to be useful tools to orthogonally validate metabolic states of patient tissues through controlled genetic alterations that are not possible with patient specimens.
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Affiliation(s)
- Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON, M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON, M5G 1L7, Canada
| | - Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON, M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON, M5G 1L7, Canada
| | - Alessandra Tata
- Laboratorio di Chimica Sperimentale, Istituto Zooprofilattico delle Venezie, Viale Fiume 78, 36100, Vicenza, Italy
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, ON, M5G 1P5, Canada. .,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, ON, M5G 1L7, Canada. .,Department of Surgery, University of Toronto, 149 College Street, Toronto, ON, M5T 1P5, Canada. .,Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B 1W8, Canada.
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24
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Meisenbichler C, Kluibenschedl F, Müller T. A 3-in-1 Hand-Held Ambient Mass Spectrometry Interface for Identification and 2D Localization of Chemicals on Surfaces. Anal Chem 2020; 92:14314-14318. [PMID: 33063994 PMCID: PMC7643069 DOI: 10.1021/acs.analchem.0c02615] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
![]()
Desorption electrospray ionization
(DESI), easy ambient sonic-spray
ionization (EASI) and low-temperature plasma (LTP) ionization are
powerful ambient ionization techniques for mass spectrometry. However,
every single method has its limitation in terms of polarity and molecular
weight of analyte molecules. After the miniaturization of every possible
component of the different ion sources, we finally were able to embed
two emitters and an ion transfer tubing into a small, hand-held device.
The pen-like interface is connected to the mass spectrometer and a
separate control unit via a bundle of flexible tubing and cables.
The novel device allows the user to ionize an extended range of chemicals
by simple switching between DESI, voltage-free EASI, or LTP ionization
as well as to freely move the interface over a surface of interest.
A mini camera, which is mounted on the tip of the pen, magnifies the
desorption area and enables a simple positioning of the pen. The interface
was successfully tested using different types of chemicals, pharmaceuticals,
and real life samples. Moreover, the combination of optical data from
the camera module and chemical data obtained by mass analysis facilitates
a novel type of imaging mass spectrometry, which we name “interactive
mass spectrometry imaging (IMSI)”.
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Affiliation(s)
- Christina Meisenbichler
- Institute of Organic Chemistry, Leopold-Franzens University Innsbruck, 6020 Innsbruck, Austria
| | - Florian Kluibenschedl
- Institute of Organic Chemistry, Leopold-Franzens University Innsbruck, 6020 Innsbruck, Austria
| | - Thomas Müller
- Institute of Organic Chemistry, Leopold-Franzens University Innsbruck, 6020 Innsbruck, Austria
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25
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Keating MF, Zhang J, Feider CL, Retailleau S, Reid R, Antaris A, Hart B, Tan G, Milner TE, Miller K, Eberlin LS. Integrating the MasSpec Pen to the da Vinci Surgical System for In Vivo Tissue Analysis during a Robotic Assisted Porcine Surgery. Anal Chem 2020; 92:11535-11542. [PMID: 32786489 DOI: 10.1021/acs.analchem.0c02037] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Minimally invasive robotic-assisted surgeries have been increasingly used as a first-line of treatment for patients undergoing oncologic surgeries. In-situ tissue identification is critical to guide tissue resection and assist decision-making. Traditional intraoperative histopathologic analysis of frozen tissue sections can be time-consuming and present logistical challenges which interrupt surgical workflows. We report the development and implementation of a laparoscopic, drop-in version of the MasSpec Pen device integrated into the da Vinci Xi Surgical system for in vivo tissue analysis in a robotic-assisted porcine surgery. We evaluated the performance of the drop-in MasSpec Pen during surgery by introducing the device into the animal upper gastrointestinal system and performing in vivo analyses of the stomach and liver, including charred and bloody tissues after electrocauterization. The molecular profiles obtained included ions tentatively identified as metabolites and lipids typically observed with MasSpec Pen analysis, without causing observable tissue damage. Statistical classifiers built to distinguish porcine liver and stomach tissues using the in vivo data yielded an overall tissue identification accuracy of 98% (n = 53 analyses). The results provide evidence that the drop-in MasSpec Pen developed can be used to acquire mass spectra in vivo during a robotic-assisted surgery and might be used as an in vivo tissue assessment tool to help guide surgical resections and streamline surgical workflows.
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Affiliation(s)
- Michael F Keating
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
| | - Jialing Zhang
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
| | - Clara L Feider
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
| | | | - Robert Reid
- Intuitive Surgical, Sunnyvale, California 94086, United States
| | | | - Bradley Hart
- Thermo Fisher Scientific, San Jose, California 95134, United States
| | - Gina Tan
- Thermo Fisher Scientific, San Jose, California 95134, United States
| | - Thomas E Milner
- Department of Biomedical Engineering, The University of Texas at Austin, Austin, Texas 78751, United States
| | - Kyle Miller
- Intuitive Surgical, Sunnyvale, California 94086, United States
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78751, United States
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26
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Woolman M, Qiu J, Kuzan-Fischer CM, Ferry I, Dara D, Katz L, Daud F, Wu M, Ventura M, Bernards N, Chan H, Fricke I, Zaidi M, Wouters BG, Rutka JT, Das S, Irish J, Weersink R, Ginsberg HJ, Jaffray DA, Zarrine-Afsar A. In situ tissue pathology from spatially encoded mass spectrometry classifiers visualized in real time through augmented reality. Chem Sci 2020; 11:8723-8735. [PMID: 34123126 PMCID: PMC8163395 DOI: 10.1039/d0sc02241a] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Integration between a hand-held mass spectrometry desorption probe based on picosecond infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates in situ tissue pathology from point-sampled mass spectrometry data. Spatially encoded pathology classifications are displayed at the site of laser sampling as color-coded pixels in an augmented reality video feed of the surgical field of view. This is enabled by two-way communication between surgical navigation and mass spectrometry data analysis platforms through a custom-built interface. Performance of the system was evaluated using murine models of human cancers sampled in situ in the presence of body fluids with a technical pixel error of 1.0 ± 0.2 mm, suggesting a 84% or 92% (excluding one outlier) cancer type classification rate across different molecular models that distinguish cell-lines of each class of breast, brain, head and neck murine models. Further, through end-point immunohistochemical staining for DNA damage, cell death and neuronal viability, spatially encoded PIRL-MS sampling is shown to produce classifiable mass spectral data from living murine brain tissue, with levels of neuronal damage that are comparable to those induced by a surgical scalpel. This highlights the potential of spatially encoded PIRL-MS analysis for in vivo use during neurosurgical applications of cancer type determination or point-sampling in vivo tissue during tumor bed examination to assess cancer removal. The interface developed herein for the analysis and the display of spatially encoded PIRL-MS data can be adapted to other hand-held mass spectrometry analysis probes currently available. Integration between a hand-held mass spectrometry desorption probe based on picosecond infrared laser technology (PIRL-MS) and an optical surgical tracking system demonstrates in situ tissue pathology from point-sampled mass spectrometry data.![]()
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Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Jimmy Qiu
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Claudia M Kuzan-Fischer
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Isabelle Ferry
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Delaram Dara
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Fowad Daud
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Megan Wu
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada
| | - Manuela Ventura
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Nicholas Bernards
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Harley Chan
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Inga Fricke
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Mark Zaidi
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Brad G Wouters
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - James T Rutka
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Sunit Das
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children 686 Bay Street Toronto ON M5G 0A4 Canada.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children Toronto ON M5G 1X8 Canada
| | - Jonathan Irish
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Robert Weersink
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Keenan Research Center for Biomedical Science, The Li Ka Shing Knowledge Institute, St. Michael's Hospital 30 Bond Street Toronto ON M5B 1W8 Canada
| | - David A Jaffray
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network 100 College Street, Room 7-207, MaRS Building, Princess Margaret Cancer Research Tower, 7th floor (STTARR) Toronto ON M5G 1P5 Canada +1-416-581-8473.,Department of Medical Biophysics, University of Toronto 101 College Street Toronto ON M5G 1L7 Canada.,Department of Surgery, University of Toronto 149 College Street Toronto ON M5T 1P5 Canada.,Keenan Research Center for Biomedical Science, The Li Ka Shing Knowledge Institute, St. Michael's Hospital 30 Bond Street Toronto ON M5B 1W8 Canada
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27
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Katz L, Woolman M, Talbot F, Amara-Belgadi S, Wu M, Tortorella S, Das S, Ginsberg HJ, Zarrine-Afsar A. Dual Laser and Desorption Electrospray Ionization Mass Spectrometry Imaging Using the Same Interface. Anal Chem 2020; 92:6349-6357. [PMID: 32275820 DOI: 10.1021/acs.analchem.9b05340] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
For a more comprehensive characterization of molecular heterogeneities of matter, multimodal mass spectrometry imaging must be developed to take advantage of the complementarity of information available through different ionization mechanisms. We report the design, implementation, and performance validation of a laser desorption imaging interface composed of add-on components that adapt a commercial Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) imaging interface for dual imaging of Picosecond Infrared Laser Mass Spectrometry (PIRL-MS) with DESI-MS. The interface utilizes hardware elements and data analysis pipelines already established for DESI-MS imaging, and was further validated in cancer margin assessments using human medulloblastoma cancers. The PIRL-MS images were robust and reproducible across multiple experimental runs on independently prepared xenograft tumors, and could be segmented into cancer and healthy regions in concordance with pathology using a variety of supervised and unsupervised clustering methods. The spectral quality and complexity obtained with this interface were examined with infiltrating and noninfiltrating tumors, and were comparable to other mass spectrometry analysis interfaces. The average PIRL-MS spectra from spatially resolved images could be used for robust cancer m/z model building to classify medulloblastoma cancer from healthy tissue without any misclassifications, an observation that held true over close to 70 sampling data points. While the unsupervised spectral analysis methods suggested a slight suppression of signal in the phospholipid range compared to the hand-held configuration, these changes were insufficient to hamper utility in cancer margin assessment with spatially resolved data obtained with our interface. Dual PIRL-MS and DESI-MS imaging of consecutive sections, as suggested by multivariate loading plots, revealed highly complementary molecular information with m/z values identifiable with one desorption method sufficient to reveal cancer regions being absent in another, further emphasizing the need for effective hardware and software interfaces for dual mass spectrometry imaging.
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Affiliation(s)
- Lauren Katz
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Francis Talbot
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
| | - Siham Amara-Belgadi
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada
| | - Megan Wu
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay Street, Toronto, Ontario M5G 0A4, Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario M5G 1 × 8, Canada.,Developmental & Stem Cell Biology Program, The Hospital for Sick Children, 686 Bay Street, Toronto, Ontario M5G 0A4, Canada
| | - Sara Tortorella
- Molecular Horizon Srl, Via Montelino 30, 06084 Bettona (PG), Italy
| | - Sunit Das
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay Street, Toronto, Ontario M5G 0A4, Canada.,Arthur and Sonia Labatt Brain Tumor Research Centre, The Hospital for Sick Children, Toronto, Ontario M5G 1 × 8, Canada.,Developmental & Stem Cell Biology Program, The Hospital for Sick Children, 686 Bay Street, Toronto, Ontario M5G 0A4, Canada.,Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada.,Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada.,Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, Ontario M5S 3G9, Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, 100 College Street, Toronto, Ontario M5G 1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street, Toronto, Ontario M5G 1L7, Canada.,Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T 1P5, Canada.,Keenan Research Center for Biomedical Science & the Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B 1W8, Canada
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28
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Kuo TH, Dutkiewicz EP, Pei J, Hsu CC. Ambient Ionization Mass Spectrometry Today and Tomorrow: Embracing Challenges and Opportunities. Anal Chem 2019; 92:2353-2363. [DOI: 10.1021/acs.analchem.9b05454] [Citation(s) in RCA: 58] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Ting-Hao Kuo
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
| | - Ewelina P. Dutkiewicz
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei 11529, Taiwan
| | - Jiying Pei
- School of Marine Sciences, Guangxi University, Nanning, Guangxi 530004, PR China
| | - Cheng-Chih Hsu
- Department of Chemistry, National Taiwan University, Taipei 10617, Taiwan
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29
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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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30
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Ogrinc N, Saudemont P, Balog J, Robin YM, Gimeno JP, Pascal Q, Tierny D, Takats Z, Salzet M, Fournier I. Water-assisted laser desorption/ionization mass spectrometry for minimally invasive in vivo and real-time surface analysis using SpiderMass. Nat Protoc 2019; 14:3162-3182. [PMID: 31597965 DOI: 10.1038/s41596-019-0217-8] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Accepted: 06/14/2019] [Indexed: 11/09/2022]
Abstract
Rapid, sensitive, precise and accurate analysis of samples in their native in vivo environment is critical to better decipher physiological and physiopathological mechanisms. SpiderMass is an ambient mass spectrometry (MS) system designed for mobile in vivo and real-time surface analyses of biological tissues. The system uses a fibered laser, which is tuned to excite the most intense vibrational band of water, resulting in a process termed water-assisted laser desorption/ionization (WALDI). The water molecules act as an endogenous matrix in a matrix-assisted laser desorption ionization (MALDI)-like scenario, leading to the desorption/ionization of biomolecules (lipids, metabolites and proteins). The ejected material is transferred to the mass spectrometer through an atmospheric interface and a transfer line that is several meters long. Here, we formulate a three-stage procedure that includes (i) a laser system setup coupled to a Waters Q-TOF or Thermo Fisher Q Exactive mass analyzer, (ii) analysis of specimens and (iii) data processing. We also describe the optimal setup for the analysis of cell cultures, fresh-frozen tissue sections and in vivo experiments on skin. With proper optimization, the system can be used for a variety of different targets and applications. The entire procedure takes 1-2 d for complex samples.
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Affiliation(s)
- Nina Ogrinc
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
| | - Philippe Saudemont
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- SATT-Nord, Immeuble Central Gare, Lille, France
| | - Julia Balog
- Department of Surgery and Cancer, St Mary's Hospital, Imperial College London, London, UK
| | - Yves-Marie Robin
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- Unité de Pathologie Morphologique et Moléculaire, Centre Oscar Lambret, Lille, France
| | - Jean-Pascal Gimeno
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
| | - Quentin Pascal
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- OCR (Oncovet Clinical Research), Eurasanté, Loos, France
| | - Dominique Tierny
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France
- OCR (Oncovet Clinical Research), Eurasanté, Loos, France
| | - Zoltan Takats
- Department of Surgery and Cancer, St Mary's Hospital, Imperial College London, London, UK
| | - Michel Salzet
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France.
| | - Isabelle Fournier
- Université de Lille, Inserm U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Villeneuve d'Ascq, France.
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31
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Sukhikh G, Chagovets V, Wang X, Rodionov V, Kometova V, Tokareva A, Kononikhin A, Starodubtseva N, Chingin K, Chen H, Frankevich V. Combination of Low-Temperature Electrosurgical Unit and Extractive Electrospray Ionization Mass Spectrometry for Molecular Profiling and Classification of Tissues. Molecules 2019; 24:molecules24162957. [PMID: 31443190 PMCID: PMC6720730 DOI: 10.3390/molecules24162957] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2019] [Revised: 08/07/2019] [Accepted: 08/12/2019] [Indexed: 11/17/2022] Open
Abstract
Real-time molecular navigation of tissue surgeries is an important goal at present. Combination of electrosurgical units and mass spectrometry (MS) to perform accurate molecular visualization of biological tissues has been pursued by many research groups. Determination of molecular tissue composition at a particular location by surgical smoke analysis is now of increasing interest for clinical use. However, molecular analysis of surgical smoke is commonly lacking molecular specificity and is associated with significant carbonization and chemical contamination, which are mainly related to the high temperature of smoke at which many molecules become unstable. Unlike traditional electrosurgical tools, low-temperature electrosurgical units allow tissue dissection without substantial heating. Here, we show that low-temperature electrosurgical units can be used for desorption of molecules from biological tissues without thermal degradation. The use of extractive electrospray ionization technique for the ionization of desorbed molecules allowed us to obtain mass spectra of healthy and pathological tissues with high degree of differentiation. Overall, the data indicate that the described approach has potential for intraoperative use.
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Affiliation(s)
- Gennady Sukhikh
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
- Department of Obstetrics, Gynecology, Perinatology and Reproductology, First Moscow State Medical University named after I.M. Sechenov, Moscow 119991, Russia
| | - Vitaliy Chagovets
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
| | - Xinchen Wang
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Valeriy Rodionov
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
| | - Vlada Kometova
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
| | - Alisa Tokareva
- Moscow Institute of Physics and Technology, Moscow 141701, Russia
| | - Alexey Kononikhin
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
- Moscow Institute of Physics and Technology, Moscow 141701, Russia
| | - Natalia Starodubtseva
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia
- Moscow Institute of Physics and Technology, Moscow 141701, Russia
| | - Konstantin Chingin
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Huanwen Chen
- Jiangxi Key Laboratory for Mass Spectrometry and Instrumentation, East China University of Technology, Nanchang 330013, China
| | - Vladimir Frankevich
- National Medical Research Center for Obstetrics, Gynecology and Perinatology named after Academician V.I.Kulakov of the Ministry of Healthcare of Russian Federation, Moscow 117997, Russia.
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32
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Hale O, Morris M, Jones B, Reynolds CK, Cramer R. Liquid Atmospheric Pressure Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Adds Enhanced Functionalities to MALDI MS Profiling for Disease Diagnostics. ACS OMEGA 2019; 4:12759-12765. [PMID: 31460399 PMCID: PMC6681994 DOI: 10.1021/acsomega.9b01476] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Accepted: 07/15/2019] [Indexed: 05/08/2023]
Abstract
A liquid matrix-assisted laser desorption/ionization (liquid MALDI) method has been developed for high-throughput atmospheric pressure (AP) mass spectrometry (MS) analysis of the molecular content of crude bioliquids for disease diagnostics. The presented method is rapid and highly robust, enabling its application in environments where speed and low-cost high-throughput analyses are required. Importantly, because of the creation of multiply charged analyte ions, it provides additional functionalities that conventional solid MALDI MS profiling is lacking, including the use of high-performance mass analyzers with limited m/z range. The concomitant superior MS/MS performance that is achieved similar to ESI MS/MS adds greater analytical power and specificity to MALDI MS profiling while retaining the advantages of a fast laser-based analysis system and off-line large-scale sample preparation. The potential of this MALDI MS profiling method is demonstrated on the detection of dairy cow mastitis, which is a substantial economic burden on the dairy industry with losses of hundreds of dollars per diseased cow per year, equating to a total annual loss of billions of dollars, as well as leading to the use of large quantities of antibiotics, adding to the proliferation of antimicrobial resistance. Only small amounts of aliquots obtained from the daily farm milking process were prepared for liquid MALDI MS profiling using a simple one-pot/two-step analyte extraction. Automated analysis was performed using a custom-built AP-MALDI ion source, enabling the simultaneous detection of lipids, peptides, and proteins. Diagnostic, multiply charged, proteinaceous ions were easily sequenced and identified by MS/MS experiments. Samples were classified according to mastitis status using multivariate analysis, achieving 98.5% accuracy (100% specificity) determined by "leave 20% out" cross-validation. The methodology is generally applicable to AP-MALDI MS profiling on most commercial high-resolution mass spectrometers, with the potential for expansion into hospitals for rapid assessment of human and other biofluids.
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Affiliation(s)
- Oliver
J. Hale
- Department
of Chemistry, University of Reading, Whiteknights, Reading RG6 6AD, U.K.
| | - Michael Morris
- Waters
Corporation, Stamford Avenue, Wilmslow SK9 4AX, U.K.
| | - Barney Jones
- The
Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, Reading RG2 9HX, U.K.
| | - Christopher K. Reynolds
- The
Centre for Dairy Research, School of Agriculture, Policy and Development, University of Reading, Reading RG2 9HX, U.K.
| | - Rainer Cramer
- Department
of Chemistry, University of Reading, Whiteknights, Reading RG6 6AD, U.K.
- E-mail:
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33
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Feider CL, Krieger A, DeHoog RJ, Eberlin LS. Ambient Ionization Mass Spectrometry: Recent Developments and Applications. Anal Chem 2019; 91:4266-4290. [PMID: 30790515 PMCID: PMC7444024 DOI: 10.1021/acs.analchem.9b00807] [Citation(s) in RCA: 210] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Clara L. Feider
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Anna Krieger
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Rachel J. DeHoog
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
| | - Livia S. Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas 78712, United States
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34
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Woolman M, Kuzan-Fischer CM, Ferry I, Kiyota T, Luu B, Wu M, Munoz DG, Das S, Aman A, Taylor MD, Rutka JT, Ginsberg HJ, Zarrine-Afsar A. Picosecond Infrared Laser Desorption Mass Spectrometry Identifies Medulloblastoma Subgroups on Intrasurgical Timescales. Cancer Res 2019; 79:2426-2434. [DOI: 10.1158/0008-5472.can-18-3411] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2018] [Revised: 02/13/2019] [Accepted: 03/14/2019] [Indexed: 11/16/2022]
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35
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Mass spectrometry-based intraoperative tumor diagnostics. Future Sci OA 2019; 5:FSO373. [PMID: 30906569 PMCID: PMC6426168 DOI: 10.4155/fsoa-2018-0087] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2018] [Accepted: 01/08/2019] [Indexed: 02/08/2023] Open
Abstract
In surgical oncology, decisions regarding the amount of tissue to be removed can have important consequences: the decision between preserving sufficient healthy tissue and eliminating all tumor cells is one to be made intraoperatively. This review discusses the latest technical innovations for a more accurate tumor margin localization based on mass spectrometry. Highlighting the latest mass spectrometric inventions, real-time diagnosis seems to be within reach; focusing on the intelligent knife, desorption electrospray ionization, picosecond infrared laser and MasSpec pen, the current technical status is evaluated critically concerning its scientific and medical practice.
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36
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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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37
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Tissue metabolite profiles for the characterisation of paediatric cerebellar tumours. Sci Rep 2018; 8:11992. [PMID: 30097636 PMCID: PMC6086878 DOI: 10.1038/s41598-018-30342-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2018] [Accepted: 07/10/2018] [Indexed: 01/05/2023] Open
Abstract
Paediatric brain tumors are becoming well characterized due to large genomic and epigenomic studies. Metabolomics is a powerful analytical approach aiding in the characterization of tumors. This study shows that common cerebellar tumors have metabolite profiles sufficiently different to build accurate, robust diagnostic classifiers, and that the metabolite profiles can be used to assess differences in metabolism between the tumors. Tissue metabolite profiles were obtained from cerebellar ependymoma (n = 18), medulloblastoma (n = 36), pilocytic astrocytoma (n = 24) and atypical teratoid/rhabdoid tumors (n = 5) samples using HR-MAS. Quantified metabolites accurately discriminated the tumors; classification accuracies were 94% for ependymoma and medulloblastoma and 92% for pilocytic astrocytoma. Using current intraoperative examination the diagnostic accuracy was 72% for ependymoma, 90% for medulloblastoma and 89% for pilocytic astrocytoma. Elevated myo-inositol was characteristic of ependymoma whilst high taurine, phosphocholine and glycine distinguished medulloblastoma. Glutamine, hypotaurine and N-acetylaspartate (NAA) were increased in pilocytic astrocytoma. High lipids, phosphocholine and glutathione were important for separating ATRTs from medulloblastomas. This study demonstrates the ability of metabolic profiling by HR-MAS on small biopsy tissue samples to characterize these tumors. Analysis of tissue metabolite profiles has advantages in terms of minimal tissue pre-processing, short data acquisition time giving the potential to be used as part of a rapid diagnostic work-up.
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