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Bottomley H, Phillips J, Hart P. Improved Detection of Tryptic Peptides from Tissue Sections Using Desorption Electrospray Ionization Mass Spectrometry Imaging. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:922-934. [PMID: 38602416 PMCID: PMC11066963 DOI: 10.1021/jasms.4c00006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/08/2024] [Accepted: 03/29/2024] [Indexed: 04/12/2024]
Abstract
DESI-MSI is an ambient ionization technique used frequently for the detection of lipids, small molecules, and drug targets. Until recently, DESI had only limited use for the detection of proteins and peptides due to the setup and needs around deconvolution of data resulting in a small number of species being detected at lower spatial resolution. There are known differences in the ion species detected using DESI and MALDI for nonpeptide molecules, and here, we identify that this extends to proteomic species. DESI MS images were obtained for tissue sections of mouse and rat brain using a precommercial heated inlet (approximately 450 °C) to the mass spectrometer. Ion mobility separation resolved spectral overlap of peptide ions and significantly improved the detection of multiply charged species. The images acquired were of pixel size 100 μm (rat brain) and 50 μm (mouse brain), respectively. Observed tryptic peptides were filtered against proteomic target lists, generated by LC-MS, enabling tentative protein assignment for each peptide ion image. Precise localizations of peptide ions identified by DESI and MALDI were found to be comparable. Some spatially localized peptides ions were observed in DESI that were not found in the MALDI replicates, typically, multiply charged species with a low mass to charge ratio. This method demonstrates the potential of DESI-MSI to detect large numbers of tryptic peptides from tissue sections with enhanced spatial resolution when compared to previous DESI-MSI studies.
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Affiliation(s)
- Heather Bottomley
- Living
Systems Institute, Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4
4QD, U.K.
| | - Jonathan Phillips
- Living
Systems Institute, Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4
4QD, U.K.
| | - Philippa Hart
- Medicines
Discovery Catapult, Alderley Park, Block 35, Mereside, Macclesfield SK10 4ZF, U.K.
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2
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Garza KY, King ME, Nagi C, DeHoog RJ, Zhang J, Sans M, Krieger A, Feider CL, Bensussan AV, Keating MF, Lin JQ, Sun MW, Tibshirani R, Pirko C, Brahmbhatt KA, Al-Fartosi AR, Thompson AM, Bonefas E, Suliburk J, Carter SA, Eberlin LS. Intraoperative Evaluation of Breast Tissues During Breast Cancer Operations Using the MasSpec Pen. JAMA Netw Open 2024; 7:e242684. [PMID: 38517441 PMCID: PMC10960202 DOI: 10.1001/jamanetworkopen.2024.2684] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2023] [Accepted: 12/30/2023] [Indexed: 03/23/2024] Open
Abstract
Importance Surgery with complete tumor resection remains the main treatment option for patients with breast cancer. Yet, current technologies are limited in providing accurate assessment of breast tissue in vivo, warranting development of new technologies for surgical guidance. Objective To evaluate the performance of the MasSpec Pen for accurate intraoperative assessment of breast tissues and surgical margins based on metabolic and lipid information. Design, Setting, and Participants In this diagnostic study conducted between February 23, 2017, and August 19, 2021, the mass spectrometry-based device was used to analyze healthy breast and invasive ductal carcinoma (IDC) banked tissue samples from adult patients undergoing breast surgery for ductal carcinomas or nonmalignant conditions. Fresh-frozen tissue samples and touch imprints were analyzed in a laboratory. Intraoperative in vivo and ex vivo breast tissue analyses were performed by surgical staff in operating rooms (ORs) within 2 different hospitals at the Texas Medical Center. Molecular data were used to build statistical classifiers. Main Outcomes and Measures Prediction results of tissue analyses from classification models were compared with gross assessment, frozen section analysis, and/or final postoperative pathology to assess accuracy. Results All data acquired from the 143 banked tissue samples, including 79 healthy breast and 64 IDC tissues, were included in the statistical analysis. Data presented rich molecular profiles of healthy and IDC banked tissue samples, with significant changes in relative abundances observed for several metabolic species. Statistical classifiers yielded accuracies of 95.6%, 95.5%, and 90.6% for training, validation, and independent test sets, respectively. A total of 25 participants enrolled in the clinical, intraoperative study; all were female, and the median age was 58 years (IQR, 44-66 years). Intraoperative testing of the technology was successfully performed by surgical staff during 25 breast operations. Of 273 intraoperative analyses performed during 25 surgical cases, 147 analyses from 22 cases were subjected to statistical classification. Testing of the classifiers on 147 intraoperative mass spectra yielded 95.9% agreement with postoperative pathology results. Conclusions and Relevance The findings of this diagnostic study suggest that the mass spectrometry-based system could be clinically valuable to surgeons and patients by enabling fast molecular-based intraoperative assessment of in vivo and ex vivo breast tissue samples and surgical margins.
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Affiliation(s)
- Kyana Y. Garza
- Department of Chemistry, The University of Texas at Austin
| | - Mary E. King
- Department of Chemistry, The University of Texas at Austin
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Chandandeep Nagi
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, Texas
| | - Rachel J. DeHoog
- Department of Chemistry, The University of Texas at Austin
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Jialing Zhang
- Department of Chemistry, The University of Texas at Austin
| | - Marta Sans
- Department of Chemistry, The University of Texas at Austin
| | - Anna Krieger
- Department of Chemistry, The University of Texas at Austin
| | | | | | - Michael F. Keating
- Department of Chemistry, The University of Texas at Austin
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - John Q. Lin
- Department of Chemistry, The University of Texas at Austin
| | - Min Woo Sun
- Department of Biomedical Data Science, Stanford University, Stanford, California
| | - Robert Tibshirani
- Department of Biomedical Data Science, Stanford University, Stanford, California
| | - Christopher Pirko
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Kirtan A. Brahmbhatt
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Ahmed R. Al-Fartosi
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Alastair M. Thompson
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Elizabeth Bonefas
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - James Suliburk
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Stacey A. Carter
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
| | - Livia S. Eberlin
- Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas
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Kumar BS. Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) in disease diagnosis: an overview. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2023; 15:3768-3784. [PMID: 37503728 DOI: 10.1039/d3ay00867c] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Tissue analysis, which is essential to histology and is considered the benchmark for the diagnosis and prognosis of many illnesses, including cancer, is significant. During surgery, the surgical margin of the tumor is assessed using the labor-intensive, challenging, and commonly subjective technique known as frozen section histopathology. In the biopsy section, large numbers of molecules can now be visualized at once (ion images) following recent developments in [MSI] mass spectrometry imaging under atmospheric conditions. This is vastly superior to and different from the single optical tissue image processing used in traditional histopathology. This review article will focus on the advancement of desorption electrospray ionization mass spectrometry imaging [DESI-MSI] technique, which is label-free and requires little to no sample preparation. Since the proportion of molecular species in normal and abnormal tissues is different, DESI-MSI can capture ion images of the distributions of lipids and metabolites on biopsy sections, which can provide rich diagnostic information. This is not a systematic review but a summary of well-known, cutting-edge and recent DESI-MSI applications in cancer research between 2018 and 2023.
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Affiliation(s)
- Bharath Sampath Kumar
- Independent Researcher, 21, B2, 27th Street, Nanganallur, Chennai 61, TamilNadu, India.
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Zhou Y, Jiang X, Wang X, Huang J, Li T, Jin H, He J. Promise of spatially resolved omics for tumor research. J Pharm Anal 2023; 13:851-861. [PMID: 37719191 PMCID: PMC10499658 DOI: 10.1016/j.jpha.2023.07.003] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 07/01/2023] [Accepted: 07/06/2023] [Indexed: 09/19/2023] Open
Abstract
Tumors are spatially heterogeneous tissues that comprise numerous cell types with intricate structures. By interacting with the microenvironment, tumor cells undergo dynamic changes in gene expression and metabolism, resulting in spatiotemporal variations in their capacity for proliferation and metastasis. In recent years, the rapid development of histological techniques has enabled efficient and high-throughput biomolecule analysis. By preserving location information while obtaining a large number of gene and molecular data, spatially resolved metabolomics (SRM) and spatially resolved transcriptomics (SRT) approaches can offer new ideas and reliable tools for the in-depth study of tumors. This review provides a comprehensive introduction and summary of the fundamental principles and research methods used for SRM and SRT techniques, as well as a review of their applications in cancer-related fields.
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Affiliation(s)
- Yanhe Zhou
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Xinyi Jiang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Xiangyi Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Jianpeng Huang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Tong Li
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
| | - Hongtao Jin
- New Drug Safety Evaluation Center, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, 100050, China
- NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing, 10050, China
| | - Jiuming He
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100050, China
- NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing, 10050, China
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Seubnooch P, Montani M, Tsouka S, Claude E, Rafiqi U, Perren A, Dufour JF, Masoodi M. Characterisation of hepatic lipid signature distributed across the liver zonation using mass spectrometry imaging. JHEP Rep 2023; 5:100725. [PMID: 37284141 PMCID: PMC10240278 DOI: 10.1016/j.jhepr.2023.100725] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/22/2022] [Revised: 02/03/2023] [Accepted: 02/27/2023] [Indexed: 06/08/2023] Open
Abstract
Background & Aims Lipid metabolism plays an important role in liver pathophysiology. The liver lobule asymmetrically distributes oxygen and nutrition, resulting in heterogeneous metabolic functions. Periportal and pericentral hepatocytes have different metabolic functions, which lead to generating liver zonation. We developed spatial metabolic imaging using desorption electrospray ionisation mass spectrometry to investigate lipid distribution across liver zonation with high reproducibility and accuracy. Methods Fresh frozen livers from healthy mice with control diet were analysed using desorption electrospray ionisation mass spectrometry imaging. Imaging was performed at 50 μm × 50 μm pixel size. Regions of interest (ROIs) were manually created by co-registering with histological data to determine the spatial hepatic lipids across liver zonation. The ROIs were confirmed by double immunofluorescence. The mass list of specific ROIs was automatically created, and univariate and multivariate statistical analysis were performed to identify statistically significant lipids across liver zonation. Results A wide range of lipid species was identified, including fatty acids, phospholipids, triacylglycerols, diacylglycerols, ceramides, and sphingolipids. We characterised hepatic lipid signatures in three different liver zones (periportal zone, midzone, and pericentral zone) and validated the reproducibility of our method for measuring a wide range of lipids. Fatty acids were predominantly detected in the periportal region, whereas phospholipids were distributed in both the periportal and pericentral zones. Interestingly, phosphatidylinositols, PI(36:2), PI(36:3), PI(36:4), PI(38:5), and PI(40:6) were located predominantly in the midzone (zone 2). Triacylglycerols and diacylglycerols were detected mainly in the pericentral region. De novo triacylglycerol biosynthesis appeared to be the most influenced pathway across the three zones. Conclusions The ability to accurately assess zone-specific hepatic lipid distribution in the liver could lead to a better understanding of lipid metabolism during the progression of liver disease. Impact and Implications Zone-specific hepatic lipid metabolism could play an important role in lipid homoeostasis during disease progression. Herein, we defined the zone-specific references of hepatic lipid species in the three liver zones using molecular imaging. The de novo triacylglycerol biosynthesis was highlighted as the most influenced pathway across the three zones.
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Affiliation(s)
- Patcharamon Seubnooch
- Institute of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department for BioMedical Research, Visceral Surgery and Medicine, University of Bern, Bern, Switzerland
| | - Matteo Montani
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Sofia Tsouka
- Institute of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland
| | | | - Umara Rafiqi
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Aurel Perren
- Institute of Tissue Medicine and Pathology, University of Bern, Bern, Switzerland
| | - Jean-Francois Dufour
- Department of Visceral Surgery and Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
- Department for BioMedical Research, Visceral Surgery and Medicine, University of Bern, Bern, Switzerland
| | - Mojgan Masoodi
- Institute of Clinical Chemistry, Inselspital, Bern University Hospital, Bern, Switzerland
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Freitas DP, Chen X, Hirtzel EA, Edwards ME, Kim J, Wang H, Sun Y, Kocurek KI, Russell D, Yan X. In situ droplet-based on-tissue chemical derivatization for lipid isomer characterization using LESA. Anal Bioanal Chem 2023:10.1007/s00216-023-04653-3. [PMID: 37017722 PMCID: PMC10392465 DOI: 10.1007/s00216-023-04653-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2023] [Revised: 03/03/2023] [Accepted: 03/14/2023] [Indexed: 04/06/2023]
Abstract
In this work, we present an in situ droplet-based derivatization method for fast tissue lipid profiling at multiple isomer levels. On-tissue derivatization for isomer characterization was achieved in a droplet delivered by the TriVersa NanoMate LESA pipette. The derivatized lipids were then extracted and analyzed by the automated chip-based liquid extraction surface analysis (LESA) mass spectrometry (MS) followed by tandem MS to produce diagnostic fragment ions to reveal the lipid isomer structures. Three reactions, i.e., mCPBA epoxidation, photocycloaddition catalyzed by the photocatalyst Ir[dF(CF3)ppy]2(dtbbpy)PF6, and Mn(II) lipid adduction, were applied using the droplet-based derivatization to provide lipid characterization at carbon-carbon double-bond positional isomer and sn-positional isomer levels. Relative quantitation of both types of lipid isomers was also achieved based on diagnostic ion intensities. This method provides the flexibility of performing multiple derivatizations at different spots in the same functional region of an organ for orthogonal lipid isomer analysis using a single tissue slide. Lipid isomers were profiled in the cortex, cerebellum, thalamus, hippocampus, and midbrain of the mouse brain and 24 double-bond positional isomers and 16 sn-positional isomers showed various distributions in those regions. This droplet-based derivatization of tissue lipids allows fast profiling of multi-level isomer identification and quantitation and has great potential in tissue lipid studies requiring rapid sample-to-result turnovers.
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Affiliation(s)
- Dallas P Freitas
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA
| | - Xi Chen
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA
| | - Erin A Hirtzel
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA
| | - Madison E Edwards
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA
| | - Joohan Kim
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA
| | - Hongying Wang
- Department of Nutrition, Texas A&M University, Carter-Mattil Hall, 373 Olven Blvd, College Station, TX, 77843, USA
| | - Yuxiang Sun
- Department of Nutrition, Texas A&M University, Carter-Mattil Hall, 373 Olven Blvd, College Station, TX, 77843, USA
| | - Klaudia I Kocurek
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA
| | - David Russell
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA
| | - Xin Yan
- Department of Chemistry, Texas A&M University, 580 Ross St, College Station, TX, 77843, USA.
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7
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Soudah T, Zoabi A, Margulis K. Desorption electrospray ionization mass spectrometry imaging in discovery and development of novel therapies. MASS SPECTROMETRY REVIEWS 2023; 42:751-778. [PMID: 34642958 DOI: 10.1002/mas.21736] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 09/16/2021] [Accepted: 09/21/2021] [Indexed: 06/13/2023]
Abstract
Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) is one of the least specimen destructive ambient ionization mass spectrometry tissue imaging methods. It enables rapid simultaneous mapping, measurement, and identification of hundreds of molecules from an unmodified tissue sample. Over the years, since its first introduction as an imaging technique in 2005, DESI-MSI has been extensively developed as a tool for separating tissue regions of various histopathologic classes for diagnostic applications. Recently, DESI-MSI has also emerged as a versatile technique that enables drug discovery and can guide the efficient development of drug delivery systems. For example, it has been increasingly employed for uncovering unique patterns of in vivo drug distribution, the discovery of potentially treatable biochemical pathways, revealing novel druggable targets, predicting therapeutic sensitivity of diseased tissues, and identifying early tissue response to pharmacological treatment. These and other recent advances in implementing DESI-MSI as the tool for the development of novel therapies are highlighted in this review.
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Affiliation(s)
- Terese Soudah
- The Faculty of Medicine, The School of Pharmacy, The Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Amani Zoabi
- The Faculty of Medicine, The School of Pharmacy, The Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Katherine Margulis
- The Faculty of Medicine, The School of Pharmacy, The Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
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8
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Gao SQ, Zhao JH, Guan Y, Tang YS, Li Y, Liu LY. Mass Spectrometry Imaging technology in metabolomics: a systematic review. Biomed Chromatogr 2022:e5494. [PMID: 36044038 DOI: 10.1002/bmc.5494] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 08/24/2022] [Accepted: 08/28/2022] [Indexed: 11/11/2022]
Abstract
Mass spectrometry imaging (MSI) is a powerful label-free analysis technique that can provide simultaneous spatial distribution of multiple compounds in a single experiment. By combining the sensitive and rapid screening of high-throughput mass spectrometry with spatial chemical information, metabolite analysis and morphological characteristics are presented in a single image. MSI can be used for qualitative and quantitative analysis of metabolic profiles and it can provide visual analysis of spatial distribution information of complex biological and microbial systems. Matrix assisted laser desorption ionization, laser ablation electrospray ionization and desorption electrospray ionization are commonly used in MSI. Here, we summarize and compare these three technologies, as well as the applications and prospects of MSI in metabolomics.
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Affiliation(s)
- Si-Qi Gao
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, P. R. China
| | - Jin-Hui Zhao
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, P. R. China
| | - Yue Guan
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, P. R. China
| | - Ying-Shu Tang
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, P. R. China
| | - Ying Li
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, P. R. China
| | - Li-Yan Liu
- Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, P. R. China
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De La Toba EA, Bell SE, Romanova EV, Sweedler JV. Mass Spectrometry Measurements of Neuropeptides: From Identification to Quantitation. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2022; 15:83-106. [PMID: 35324254 DOI: 10.1146/annurev-anchem-061020-022048] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Neuropeptides (NPs), a unique class of neuronal signaling molecules, participate in a variety of physiological processes and diseases. Quantitative measurements of NPs provide valuable information regarding how these molecules are differentially regulated in a multitude of neurological, metabolic, and mental disorders. Mass spectrometry (MS) has evolved to become a powerful technique for measuring trace levels of NPs in complex biological tissues and individual cells using both targeted and exploratory approaches. There are inherent challenges to measuring NPs, including their wide endogenous concentration range, transport and postmortem degradation, complex sample matrices, and statistical processing of MS data required for accurate NP quantitation. This review highlights techniques developed to address these challenges and presents an overview of quantitative MS-based measurement approaches for NPs, including the incorporation of separation methods for high-throughput analysis, MS imaging for spatial measurements, and methods for NP quantitation in single neurons.
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Affiliation(s)
- Eduardo A De La Toba
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Sara E Bell
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Elena V Romanova
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
| | - Jonathan V Sweedler
- Department of Chemistry, University of Illinois Urbana-Champaign, Urbana, Illinois, USA;
- Beckman Institute for Advanced Science and Technology, University of Illinois Urbana-Champaign, Urbana, Illinois, USA
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10
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Liu Y, Yang X, Zhou C, Wang Z, Kuang T, Sun J, Xu B, Meng X, Zhang Y, Tang C. Unveiling Dynamic Changes of Chemical Constituents in Raw and Processed Fuzi With Different Steaming Time Points Using Desorption Electrospray Ionization Mass Spectrometry Imaging Combined With Metabolomics. Front Pharmacol 2022; 13:842890. [PMID: 35359875 PMCID: PMC8960191 DOI: 10.3389/fphar.2022.842890] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/24/2021] [Accepted: 02/16/2022] [Indexed: 12/17/2022] Open
Abstract
Fuzi is a famous toxic traditional herbal medicine, which has long been used for the treatment of various diseases in China and many other Asian countries because of its extraordinary pharmacological activities and high toxicity. Different processing methods to attenuate the toxicity of Fuzi are important for its safe clinical use. In this study, desorption electrospray ionization mass spectrometry imaging (DESI-MSI) with a metabolomics-combined multivariate statistical analysis approach was applied to investigate a series of Aconitum alkaloids and explore potential metabolic markers to understand the differences between raw and processed Fuzi with different steaming time points. Moreover, the selected metabolic markers were visualized by DESI-MSI, and six index alkaloids’ contents were determined through HPLC. The results indicated visible differences among raw and processed Fuzi with different steaming times, and 4.0 h is the proper time for toxicity attenuation and efficacy reservation. A total of 42 metabolic markers were identified to discriminate raw Fuzi and those steamed for 4.0 and 8.0 h, which were clearly visualized in DESI-MSI. The transformation from diester-diterpenoid alkaloids to monoester-diterpenoid alkaloids and then to non-esterified diterpene alkaloids through hydrolysis is the major toxicity attenuation process during steaming. DESI-MSI combined with metabolomics provides an efficient method to visualize the changeable rules and screen the metabolic markers of Aconitum alkaloids during steaming. The wide application of this technique could help identify markers and reveal the possible chemical transition mechanism in the “Paozhi” processes of Fuzi. It also provides an efficient and easy way to quality control and ensures the safety of Fuzi and other toxic traditional Chinese medicine.
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Affiliation(s)
- Yue Liu
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xuexin Yang
- Waters Technology (Beijing) Co., Ltd., Beijing, China
| | - Chao Zhou
- Waters Technology (Beijing) Co., Ltd., Beijing, China
| | - Zhang Wang
- School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Tingting Kuang
- School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Jiayi Sun
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Binjie Xu
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Xianli Meng
- Innovative Institute of Chinese Medicine and Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Yi Zhang
- School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Ce Tang
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- School of Ethnic Medicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- *Correspondence: Ce Tang,
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11
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Wu L, Qi K, Xu M, Liu C, Pan Y. Effects of dopants in the imaging of mouse brain by desorption electrospray ionization/post-photoionization mass spectrometry. JOURNAL OF MASS SPECTROMETRY : JMS 2022; 57:e4813. [PMID: 35189674 DOI: 10.1002/jms.4813] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Revised: 12/08/2021] [Accepted: 12/16/2021] [Indexed: 06/14/2023]
Abstract
Desorption electrospray ionization/post-photoionization (DESI/PI) is a newly developed ionization method by the combination of DESI and post-photoionization for the simultaneous imaging of polar and nonpolar compounds in biological tissues. Dopants are of great importance in DESI/PI for the enhancement of signal intensities through ion-molecule reactions. In this work, to evaluate the performance of dopants in DESI/PI, an efficient homogenate model was developed, and four kinds of dopants (toluene, chlorobenzene, bromobenzene, and anisole) were tested using homogenate of mouse brain tissue as target sample. The influences of the dopants on the signal enhancements of different compounds were explained reasonably by the ionization mechanism. Then, the dopants with their optimum volume contents were applied to the mass spectrometry imaging (MSI). For a comprehensive imaging of various compounds with different polarities, methanol/toluene/formic acid (7:3:0.1) was chosen as the best choice. Finally, the stronger quantitative ability of DESI/PI with toluene as dopant for a few compounds in mouse brain tissue was demonstrated.
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Affiliation(s)
- Liutian Wu
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Keke Qi
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Minggao Xu
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Chengyuan Liu
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Yang Pan
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
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12
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Ishii Y, Nakamura K, Mitsumoto T, Takimoto N, Namiki M, Takasu S, Ogawa K. Visualization of the distribution of anthraquinone components from madder roots in rat kidneys by desorption electrospray ionization-time-of-flight mass spectrometry imaging. Food Chem Toxicol 2022; 161:112851. [DOI: 10.1016/j.fct.2022.112851] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 01/11/2022] [Accepted: 02/02/2022] [Indexed: 12/17/2022]
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13
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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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14
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Perez CJ, Ifa DR. Internal standard application strategies in mass spectrometry imaging by desorption electrospray ionization mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2021; 35:e9053. [PMID: 33474774 DOI: 10.1002/rcm.9053] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2020] [Revised: 01/19/2021] [Accepted: 01/20/2021] [Indexed: 06/12/2023]
Abstract
RATIONALE We developed a model case study to evaluate three internal standard (IS) application strategies (methods I-III) using the psycholeptic phenobarbital (PB) and the isotopically labelled IS phenobarbital-D5 (PB-D5) from in vitro dosed tissues of the golden apple snail (Pomacea diffusa) by desorption electrospray ionization mass spectrometry imaging (DESI-MSI). METHODS In method I, the IS was deposited as microspots on top of 10 μm thick snail tissues; in method II, a thin IS film was applied; and in method III, the IS was spiked into the DESI solvent spray. DESI-MSI analyses were performed using a Thermo LTQ mass spectrometer equipped with a custom-built DESI source and two-dimensional moving stage. PB (m/z 231) and PB-D5 (m/z 236) were monitored in selected ion monitoring mode between m/z 227 and 239. RESULTS The analytical performance of two IS strategies (methods I and II) in DESI-MSI was evaluated based on an intra- and inter-day precision assay, an accuracy assessment, and statistical analysis. In the inter-day DESI-MSI assay, method I exhibited better precision (6.5%-7.4%) than method II (10.7%-17.6%) between 10 and 100 ng/μL. In the accuracy assessment, PB quality controls of 75 ng/μL were back-calculated as 71 ± 4 and 83 ± 9 ng/μL, resulting in relative errors of -5% and 11% for methods I and II, respectively. Method III did not work under the experimental design and was not evaluated. CONCLUSIONS Three IS application strategies were investigated and compared for a routine quantitative DESI-MSI approach. Methods I and II were not statistically significantly different as shown by a Bland-Altman plot, suggesting that these two methods can be used interchangeably. However, method III requires further research for future quantitative DESI-MSI analyses.
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Affiliation(s)
- Consuelo J Perez
- Centre for Research in Mass Spectrometry, Department of Chemistry, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada
| | - Demian R Ifa
- Centre for Research in Mass Spectrometry, Department of Chemistry, York University, 4700 Keele Street, Toronto, ON, M3J 1P3, Canada
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15
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Validation of Breast Cancer Margins by Tissue Spray Mass Spectrometry. Int J Mol Sci 2020; 21:ijms21124568. [PMID: 32604966 PMCID: PMC7349349 DOI: 10.3390/ijms21124568] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Revised: 06/23/2020] [Accepted: 06/24/2020] [Indexed: 02/07/2023] Open
Abstract
Current methods for the intraoperative determination of breast cancer margins commonly suffer from the insufficient accuracy, specificity and/or low speed of analysis, increasing the time and cost of operation as well the risk of cancer recurrence. The purpose of this study is to develop a method for the rapid and accurate determination of breast cancer margins using direct molecular profiling by mass spectrometry (MS). Direct molecular fingerprinting of tiny pieces of breast tissue (approximately 1 × 1 × 1 mm) is performed using a home-built tissue spray ionization source installed on a Maxis Impact quadrupole time-of-flight mass spectrometer (qTOF MS) (Bruker Daltonics, Hamburg, Germany). Statistical analysis of MS data from 50 samples of both normal and cancer tissue (from 25 patients) was performed using orthogonal projections onto latent structures discriminant analysis (OPLS-DA). Additionally, the results of OPLS classification of new 19 pieces of two tissue samples were compared with the results of histological analysis performed on the same tissues samples. The average time of analysis for one sample was about 5 min. Positive and negative ionization modes are used to provide complementary information and to find out the most informative method for a breast tissue classification. The analysis provides information on 11 lipid classes. OPLS-DA models are created for the classification of normal and cancer tissue based on the various datasets: All mass spectrometric peaks over 300 counts; peaks with a statistically significant difference of intensity determined by the Mann–Whitney U-test (p < 0.05); peaks identified as lipids; both identified and significantly different peaks. The highest values of Q2 have models built on all MS peaks and on significantly different peaks. While such models are useful for classification itself, they are of less value for building explanatory mechanisms of pathophysiology and providing a pathway analysis. Models based on identified peaks are preferable from this point of view. Results obtained by OPLS-DA classification of the tissue spray MS data of a new sample set (n = 19) revealed 100% sensitivity and specificity when compared to histological analysis, the “gold” standard for tissue classification. “All peaks” and “significantly different peaks” datasets in the positive ion mode were ideal for breast cancer tissue classification. Our results indicate the potential of tissue spray mass spectrometry for rapid, accurate and intraoperative diagnostics of breast cancer tissue as a means to reduce surgical intervention.
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16
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Cordeiro FB, Jarmusch AK, León M, Ferreira CR, Pirro V, Eberlin LS, Hallett J, Miglino MA, Cooks RG. Mammalian ovarian lipid distributions by desorption electrospray ionization-mass spectrometry (DESI-MS) imaging. Anal Bioanal Chem 2020; 412:1251-1262. [PMID: 31953714 DOI: 10.1007/s00216-019-02352-6] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2019] [Revised: 11/27/2019] [Accepted: 12/11/2019] [Indexed: 02/03/2023]
Abstract
Merging optical images of tissue sections with the spatial distributions of molecules seen by imaging mass spectrometry is a powerful approach to better understand the metabolic roles of the mapped molecules. Here, we use histologically friendly desorption electrospray ionization-mass spectrometry (DESI-MS) to map the lipid distribution in tissue sections of ovaries from cows (N = 8), sows (N = 3), and mice (N = 12). Morphologically friendly DESI-MS imaging allows the same sections to be examined for morphological information. Independent of the species, ovarian follicles, corpora lutea, and stroma could be differentiated by principal component analysis, showing that lipid profiles are well conserved among species. As examples of specific findings, arachidonic acid and the phosphatidylinositol PI(38:4), were both found concentrated in the follicles and corpora lutea, structures that promoted ovulation and implantation, respectively. Adrenic acid was spatially located in the corpora lutea, suggesting the importance of this fatty acid in the ovary luteal phase. In summary, lipid information captured by DESI-MS imaging could be related to ovarian structures and data were all conserved among cows, sows, and mice. Further application of DESI-MS imaging to either physiological or pathophysiological models of reproductive conditions will likely expand knowledge of the roles of specific lipids and pathways in ovarian activity and mammalian fertility. Graphical abstract Desorption electrospray ionization-mass spectrometry (DESI-MS) is performed directly from frozen ovarian tissue sections placed onto glass slides. Because the desorption and ionization process of small molecules is so gentle, the tissue architecture is preserved. The sample can then be stained and tissue morphology information can be overlaid with the chemical information obtained by DESI-MS.
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Affiliation(s)
- Fernanda Bertuccez Cordeiro
- Laboratorio para Investigaciones Biomédicas, Facultad de Ciencias de la Vida, Escuela Superior Politécnica del Litoral, ESPOL, 090112, Guayaquil, Ecuador
| | - Alan K Jarmusch
- Department of Chemistry and Center for Analytical Instrumentation Development (CAID), Purdue University, West Lafayette, IN, 47907, USA
- Skaggs School of Pharmacy and Pharmaceutical Sciences and Collaborative Mass Spectrometry Innovation Center, University of California, San Diego, La Jolla, CA, 92093, USA
| | - Marisol León
- Surgery Department, School of Veterinary Medicine and Animal Science, University of Sao Paulo, Sao Paulo, 05508-270, Brazil
| | - Christina Ramires Ferreira
- Department of Chemistry and Center for Analytical Instrumentation Development (CAID), Purdue University, West Lafayette, IN, 47907, USA.
- Bindley Bioscience Center, Purdue University, West Lafayette, IN, 47907-1393, USA.
| | - Valentina Pirro
- Department of Chemistry and Center for Analytical Instrumentation Development (CAID), Purdue University, West Lafayette, IN, 47907, USA
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Judy Hallett
- Purdue Center for Cancer Research Transgenic Mouse Core Facility, Purdue University, 201 S. University Street, West Lafayette, IN, 47907, USA
| | - Maria Angelica Miglino
- Surgery Department, School of Veterinary Medicine and Animal Science, University of Sao Paulo, Sao Paulo, 05508-270, Brazil
| | - Robert Graham Cooks
- Department of Chemistry and Center for Analytical Instrumentation Development (CAID), Purdue University, West Lafayette, IN, 47907, USA
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17
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Claes BSR, Takeo E, Fukusaki E, Shimma S, Heeren RMA. Imaging Isomers on a Biological Surface: A Review. Mass Spectrom (Tokyo) 2019; 8:A0078. [PMID: 32158629 PMCID: PMC7035452 DOI: 10.5702/massspectrometry.a0078] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 10/31/2019] [Indexed: 12/30/2022] Open
Abstract
Mass spectrometry imaging is an imaging technology that allows the localization and identification of molecules on (biological) sample surfaces. Obtaining the localization of a compound in tissue is of great value in biological research. Yet, the identification of compounds remains a challenge. Mass spectrometry alone, even with high-mass resolution, cannot always distinguish between the subtle structural differences of isomeric compounds. This review discusses recent advances in mass spectrometry imaging of lipids, steroid hormones, amino acids and proteins that allow imaging with isomeric resolution. These improvements in detailed identification can give new insights into the local biological activity of isomers.
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Affiliation(s)
- Britt S. R. Claes
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University
| | - Emi Takeo
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Eiichiro Fukusaki
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Shuichi Shimma
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Ron M. A. Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University
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18
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Holzlechner M, Eugenin E, Prideaux B. Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer. Cancer Rep (Hoboken) 2019; 2:e1229. [PMID: 32729258 PMCID: PMC7941519 DOI: 10.1002/cnr2.1229] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 11/04/2019] [Accepted: 11/07/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Current methods to identify, classify, and predict tumor behavior mostly rely on histology, immunohistochemistry, and molecular determinants. However, better predictive markers are required for tumor diagnosis and evaluation. Due, in part, to recent technological advancements, metabolomics and lipid biomarkers have become a promising area in cancer research. Therefore, there is a necessity for novel and complementary techniques to identify and visualize these molecular markers within tumors and surrounding tissue. RECENT FINDINGS Since its introduction, mass spectrometry imaging (MSI) has proven to be a powerful tool for mapping analytes in biological tissues. By adding the label-free specificity of mass spectrometry to the detailed spatial information of traditional histology, hundreds of lipids can be imaged simultaneously within a tumor. MSI provides highly detailed lipid maps for comparing intra-tumor, tumor margin, and healthy regions to identify biomarkers, patterns of disease, and potential therapeutic targets. In this manuscript, recent advancement in sample preparation and MSI technologies are discussed with special emphasis on cancer lipid research to identify tumor biomarkers. CONCLUSION MSI offers a unique approach for biomolecular characterization of tumor tissues and provides valuable complementary information to histology for lipid biomarker discovery and tumor classification in clinical and research cancer applications.
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Affiliation(s)
- Matthias Holzlechner
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Eliseo Eugenin
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Brendan Prideaux
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
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19
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Astarita G, Dhungana S, Shrestha B, Laiakis EC. Metabolomic approaches to study the tumor microenvironment. Methods Enzymol 2019; 636:93-108. [PMID: 32178829 DOI: 10.1016/bs.mie.2019.07.037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
Tumors are characterized by metabolic dysregulation, reprogramming, and the presence of metabolites, which can act both as energy mediators and signaling messengers. Measuring the concentration and composition of metabolites in the tumor microenvironment can help to better understand the tumor pathology and might improve therapeutic treatments. Metabolomics can provide a description of the physiological and pathological status, as well as help to identify biomarkers of the disease. Additionally, mass spectrometry-based tissue imaging techniques can show the spatial distribution of metabolites. In this chapter we present protocols for the extraction and analysis of metabolites and lipids, with emphasis on liquid chromatography-mass spectrometry and mass spectrometry imaging.
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Affiliation(s)
- Giuseppe Astarita
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, United States
| | | | | | - Evagelia C Laiakis
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University, Washington, DC, United States; Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University, Washington, DC, United States.
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20
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Mezger STP, Mingels AMA, Bekers O, Cillero-Pastor B, Heeren RMA. Trends in mass spectrometry imaging for cardiovascular diseases. Anal Bioanal Chem 2019; 411:3709-3720. [PMID: 30980090 PMCID: PMC6594994 DOI: 10.1007/s00216-019-01780-8] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2019] [Revised: 02/26/2019] [Accepted: 03/13/2019] [Indexed: 01/01/2023]
Abstract
Mass spectrometry imaging (MSI) is a widely established technology; however, in the cardiovascular research field, its use is still emerging. The technique has the advantage of analyzing multiple molecules without prior knowledge while maintaining the relation with tissue morphology. Particularly, MALDI-based approaches have been applied to obtain in-depth knowledge of cardiac (dys)function. Here, we discuss the different aspects of the MSI protocols, from sample handling to instrumentation used in cardiovascular research, and critically evaluate these methods. The trend towards structural lipid analysis, identification, and “top-down” protein MSI shows the potential for implementation in (pre)clinical research and complementing the diagnostic tests. Moreover, new insights into disease progression are expected and thereby contribute to the understanding of underlying mechanisms related to cardiovascular diseases.
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Affiliation(s)
- Stephanie T P Mezger
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.,Central Diagnostic Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Alma M A Mingels
- Central Diagnostic Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Otto Bekers
- Central Diagnostic Laboratory, Maastricht University Medical Center, P.O. Box 5800, 6202 AZ, Maastricht, The Netherlands.,CARIM School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Berta Cillero-Pastor
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
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21
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Luberto C, Haley JD, Del Poeta M. Imaging with mass spectrometry, the next frontier in sphingolipid research? A discussion on where we stand and the possibilities ahead. Chem Phys Lipids 2019; 219:1-14. [PMID: 30641043 DOI: 10.1016/j.chemphyslip.2019.01.001] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2018] [Revised: 01/02/2019] [Accepted: 01/03/2019] [Indexed: 12/17/2022]
Abstract
In the last ten years, mass spectrometry (MS) has become the favored analytical technique for sphingolipid (SPL) analysis and measurements. Indeed MS has the unique ability to both acquire sensitive and quantitative measurements and to resolve the molecular complexity characteristic of SPL molecules, both across the different SPL families and within the same SPL family. Currently, two complementary MS-based approaches are used for lipid research: analysis of lipid extracts, mainly by infusion electrospray ionization (ESI), and mass spectrometry imaging (MSI) from a sample surface (i.e. intact tissue sections, cells, model membranes, thin layer chromatography plates) (Fig. 1). The first allows for sensitive and quantitative information about total lipid molecular species from a given specimen from which lipids have been extracted and chromatographically separated prior to the analysis; the second, albeit generally less quantitative and less specific in the identification of molecular species due to the complexity of the sample, allows for spatial information of lipid molecules from biological specimens. In the field of SPL research, MS analysis of lipid extracts from biological samples has been commonly utilized to implicate the role of these lipids in specific biological functions. On the other hand, the utilization of MSI in SPL research represents a more recent development that has started to provide interesting descriptive observations regarding the distribution of specific classes of SPLs within tissues. Thus, it is the aim of this review to discuss how MSI technology has been employed to extend the study of SPL metabolism and the type of information that has been obtained from model membranes, single cells and tissues. We envision this discussion as a complementary compendium to the excellent technical reviews recently published about the specifics of MSI technologies, including their application to SPL analysis (Fuchs et al., 2010; Berry et al., 2011; Ellis et al., 2013; Eberlin et al., 2011; Kraft and Klitzing, 2014).
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Affiliation(s)
- Chiara Luberto
- Department of Physiology and Biophysics, Stony Brook University, Stony Brook, NY, United States.
| | - John D Haley
- Department of Pathology, Stony Brook University, Stony Brook, NY, United States
| | - Maurizio Del Poeta
- Department of Molecular Genetics and Microbiology, Stony Brook University, Stony Brook, NY, United States; Division of Infectious Diseases, Stony Brook University, Stony Brook, NY, United States; Institute of Chemical Biology and Drug Discovery, Stony Brook University, Stony Brook, NY, United States; Veterans Administrations Medical Center, Northport, NY, United States
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22
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Zou R, Cao W, Chong L, Hua W, Xu H, Mao Y, Page J, Shi R, Xia Y, Hu TY, Zhang W, Ouyang Z. Point-of-Care Tissue Analysis Using Miniature Mass Spectrometer. Anal Chem 2018; 91:1157-1163. [PMID: 30525456 DOI: 10.1021/acs.analchem.8b04935] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
The combination of direct sampling ionization and miniature mass spectrometer presents a promising technical pathway of point-of-care analysis in clinical applications. In this work, a miniature mass spectrometry system was used for analysis of tissue samples. Direct tissue sampling coupled with extraction spray ionization was used with a home-built miniature mass spectrometer, Mini 12. Lipid species in tissue samples were well profiled in rat brain, kidney, and liver in a couple of minutes. By incorporating a photochemical (Paternò-Büchi) reaction, fast identification of lipid C═C location was realized. Relative quantitation of the lipid C═C isomer was performed by calculating the intensity ratio C═C diagnostic product ions, by which FA 18:1 (Δ9)/FA 18:1 (Δ11) was found to change significantly in mouse cancerous breast tissue samples. Accumulation of 2-hydroxylglutarate in human glioma samples, not in normal brains, can also be easily identified for rapid diagnosis.
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Affiliation(s)
- Ran Zou
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument , Tsinghua University , Beijing 100084 , China.,Weldon School of Biomedical Engineering , Purdue University , West Lafayette , Indiana 47907 , United States
| | - Wenbo Cao
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument , Tsinghua University , Beijing 100084 , China
| | - Leelyn Chong
- Weldon School of Biomedical Engineering , Purdue University , West Lafayette , Indiana 47907 , United States.,Department of Chemistry , Purdue University , West Lafayette , Indiana 47907 , United States
| | - Wei Hua
- Department of Neurosurgery, Huashan Hospital , Fudan University , Shanghai 200040 , China
| | - Hao Xu
- Department of Neurosurgery, Huashan Hospital , Fudan University , Shanghai 200040 , China
| | - Ying Mao
- Department of Neurosurgery, Huashan Hospital , Fudan University , Shanghai 200040 , China
| | - Jessica Page
- Department of Basic Medical Sciences, College of Veterinary Medicine , Purdue University , West Lafayette , Indiana 47907 , United States
| | - Riyi Shi
- Department of Basic Medical Sciences, College of Veterinary Medicine , Purdue University , West Lafayette , Indiana 47907 , United States
| | - Yu Xia
- Department of Chemistry , Purdue University , West Lafayette , Indiana 47907 , United States.,Department of Chemistry , Tsinghua University , Beijing 100084 , China
| | - Tony Y Hu
- The Biodesign Institute , Arizona State University , Tempe , Arizona 85287 , United States
| | - Wenpeng Zhang
- Department of Chemistry , Purdue University , West Lafayette , Indiana 47907 , United States
| | - Zheng Ouyang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument , Tsinghua University , Beijing 100084 , China.,Weldon School of Biomedical Engineering , Purdue University , West Lafayette , Indiana 47907 , United States.,Department of Chemistry , Purdue University , West Lafayette , Indiana 47907 , United States
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23
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Woolman M, Tata A, Dara D, Meens J, D'Arcangelo E, Perez CJ, Saiyara Prova S, Bluemke E, Ginsberg HJ, Ifa D, McGuigan A, Ailles L, Zarrine-Afsar A. Rapid determination of the tumour stroma ratio in squamous cell carcinomas with desorption electrospray ionization mass spectrometry (DESI-MS): a proof-of-concept demonstration. Analyst 2018; 142:3250-3260. [PMID: 28799592 DOI: 10.1039/c7an00830a] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
Squamous cell carcinomas constitute a major class of head & neck cancers, where the tumour stroma ratio (TSR) carries prognostic information. Patients affected by stroma-rich tumours exhibit a poor prognosis and a higher chance of relapse. As such, there is a need for a technology platform that allows rapid determination of the tumour stroma ratio. In this work, we provide a proof-of-principle demonstration that Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) can be used to determine tumour stroma ratios. Slices from three independent mouse xenograft tumours from the human FaDu cell line were subjected to DESI-MS imaging, staining and detailed analysis using digital pathology methods. Using multivariate statistical methods we compared the MS profiles with those of isolated stromal cells. We found that m/z 773.53 [PG(18:1)(18:1) - H]-, m/z 835.53 [PI(34:1) - H]- and m/z 863.56 [PI(18:1)(18:0) - H]- are biomarker ions that can distinguish FaDu cancer from cancer associated fibroblast (CAF) cells. A comparison with DESI-MS analysis of controlled mixtures of the CAF and FaDu cells showed that the abundance of the biomarker ions above can be used to determine, with an error margin of close to 5% compared with quantitative pathology estimates, TSR values. This proof-of-principle demonstration is encouraging and must be further validated using human samples and a larger sample base. At maturity, DESI-MS thus may become a stand-alone molecular pathology tool providing an alternative rapid cancer assessment without the need for time-consuming staining and microscopy methods, potentially further conserving human resources.
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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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Porcari AM, Zhang J, Garza KY, Rodrigues-Peres RM, Lin JQ, Young JH, Tibshirani R, Nagi C, Paiva GR, Carter SA, Sarian LO, Eberlin MN, Eberlin LS. Multicenter Study Using Desorption-Electrospray-Ionization-Mass-Spectrometry Imaging for Breast-Cancer Diagnosis. Anal Chem 2018; 90:11324-11332. [PMID: 30170496 DOI: 10.1021/acs.analchem.8b01961] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The histological and molecular subtypes of breast cancer demand distinct therapeutic approaches. Invasive ductal carcinoma (IDC) is subtyped according to estrogen-receptor (ER), progesterone-receptor (PR), and HER2 status, among other markers. Desorption-electrospray-ionization-mass-spectrometry imaging (DESI-MSI) is an ambient-ionization MS technique that has been previously used to diagnose IDC. Aiming to investigate the robustness of ambient-ionization MS for IDC diagnosis and subtyping over diverse patient populations and interlaboratory use, we report a multicenter study using DESI-MSI to analyze samples from 103 patients independently analyzed in the United States and Brazil. The lipid profiles of IDC and normal breast tissues were consistent across different patient races and were unrelated to country of sample collection. Similar experimental parameters used in both laboratories yielded consistent mass-spectral data in mass-to-charge ratios ( m/ z) above 700, where complex lipids are observed. Statistical classifiers built using data acquired in the United States yielded 97.6% sensitivity, 96.7% specificity, and 97.6% accuracy for cancer diagnosis. Equivalent performance was observed for the intralaboratory validation set (99.2% accuracy) and, most remarkably, for the interlaboratory validation set independently acquired in Brazil (95.3% accuracy). Separate classification models built for ER and PR statuses as well as the status of their combined hormone receptor (HR) provided predictive accuracies (>89.0%), although low classification accuracies were achieved for HER2 status. Altogether, our multicenter study demonstrates that DESI-MSI is a robust and reproducible technology for rapid breast-cancer-tissue diagnosis and therefore is of value for clinical use.
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Affiliation(s)
- Andreia M Porcari
- Thomson Mass Spectrometry Laboratory, Department of Chemistry , University of Campinas - UNICAMP , Campinas , São Paulo 13083-970 , Brazil.,Laboratory of Multidisciplinary Research , São Francisco University , Bragança Paulista , São Paulo 12916-900 , Brazil
| | - Jialing Zhang
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Kyana Y Garza
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Raquel M Rodrigues-Peres
- Department of Gynecological and Breast Oncology, CAISM Women's Hospital, Faculty of Medical Sciences , University of Campinas , Campinas, São Paulo , 13083-881 , Brazil
| | - John Q Lin
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Jonathan H Young
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Robert Tibshirani
- Departments of Biomedical Data Science and Statistics , Stanford University , Stanford , California 94305 , United States
| | - Chandandeep Nagi
- Department of Pathology and Immunology , Baylor College of Medicine , Houston , Texas 77030 , United States
| | - Geisilene R Paiva
- Department of Gynecological and Breast Oncology, CAISM Women's Hospital, Faculty of Medical Sciences , University of Campinas , Campinas, São Paulo , 13083-881 , Brazil
| | - Stacey A Carter
- Department of Surgery , Baylor College of Medicine , Houston , Texas 77030 , United States
| | - Luis Otávio Sarian
- Department of Gynecological and Breast Oncology, CAISM Women's Hospital, Faculty of Medical Sciences , University of Campinas , Campinas, São Paulo , 13083-881 , Brazil
| | - Marcos N Eberlin
- Thomson Mass Spectrometry Laboratory, Department of Chemistry , University of Campinas - UNICAMP , Campinas , São Paulo 13083-970 , Brazil.,Mackenzie Presbiterian University , School of Engineering , São Paulo , SP 01302-907 , Brazil
| | - Livia S Eberlin
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
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25
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Banerjee S. Ambient ionization mass spectrometry imaging for disease diagnosis: Excitements and challenges. J Biosci 2018; 43:731-738. [PMID: 30207318] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Tissue analysis in histology is extremely important and also considered to be a gold standard to diagnose and prognosticate several diseases including cancer. Intraoperative evaluation of surgical margin of tumor also relies on frozen section histopathology, which is time consuming, challenging and often subjective. Recent development in the ambient ionization mass spectrometry imaging (MSI) technique has enabled us to simultaneously visualize hundreds to thousands of molecules (ion images) in the biopsy specimen, which are strikingly different and more powerful than the single optical tissue image analysis in conventional histopathology. This paper will highlight the emergence of the desorption electrospray ionization MSI (DESI-MSI) technique, which is label-free, requires minimal or no sample preparation and operates under ambient conditions. DESI-MSI can record ion images of lipid/metabolite distributions on biopsy specimens, providing a wealth of diagnostic information based on differential distributions of these molecular species in healthy and unhealthy tissues. Remarkable success of this technology in rapidly evaluating the cancer margin intraoperatively with very high accuracy also promises to bring this imaging technique from bench to bedside.
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Affiliation(s)
- Shibdas Banerjee
- Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Karakambadi Road, Tirupati 517 507, India,
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26
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Banerjee S. Ambient ionization mass spectrometry imaging for disease diagnosis: Excitements and challenges. J Biosci 2018. [DOI: 10.1007/s12038-018-9785-y] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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27
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Cahill JF, Kertesz V, Porta T, LeBlanc JCY, Heeren RMA, Van Berkel GJ. Solvent effects on differentiation of mouse brain tissue using laser microdissection 'cut and drop' sampling with direct mass spectral analysis. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2018; 32:414-422. [PMID: 29297944 DOI: 10.1002/rcm.8053] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 12/07/2017] [Accepted: 12/14/2017] [Indexed: 05/12/2023]
Abstract
RATIONALE Laser microdissection-liquid vortex capture/electrospray ionization mass spectrometry (LMD-LVC/ESI-MS) has potential for on-line classification of tissue but an investigation into what analytical conditions provide best spectral differentiation has not been conducted. The effects of solvent, ionization polarity, and spectral acquisition parameters on differentiation of mouse brain tissue regions are described. METHODS Individual 40 × 40 μm microdissections from cortex, white, grey, granular, and nucleus regions of mouse brain tissue were analyzed using different capture/ESI solvents, in positive and negative ion mode ESI, using time-of-flight (TOF)-MS and sequential window acquisitions of all theoretical spectra (SWATH)-MS (a permutation of tandem-MS), and combinations thereof. Principal component analysis-linear discriminant analysis (PCA-LDA), applied to each mass spectral dataset, was used to determine the accuracy of differentiation of mouse brain tissue regions. RESULTS Mass spectral differences associated with capture/ESI solvent composition manifested as altered relative distributions of ions rather than the presence or absence of unique ions. In negative ion mode ESI, 80/20 (v/v) methanol/water yielded spectra with low signal/noise ratios relative to other solvents. PCA-LDA models acquired using 90/10 (v/v) methanol/chloroform differentiated tissue regions with 100% accuracy while data collected using methanol misclassified some samples. The combination of SWATH-MS and TOF-MS data improved differentiation accuracy. CONCLUSIONS Combined TOF-MS and SWATH-MS data differentiated white, grey, granular, and nucleus mouse tissue regions with greater accuracy than when solely using TOF-MS data. Using 90/10 (v/v) methanol/chloroform, tissue regions were perfectly differentiated. These results will guide future studies looking to utilize the potential of LMD-LVC/ESI-MS for tissue and disease differentiation.
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Affiliation(s)
- John F Cahill
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
| | - Vilmos Kertesz
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
| | - Tiffany Porta
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, The Netherlands
| | | | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, The Netherlands
| | - Gary J Van Berkel
- Mass Spectrometry and Laser Spectroscopy Group, Chemical Sciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831-6131, USA
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28
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Thomas A, Lenglet S, Chaurand P, Déglon J, Mangin P, Mach F, Steffens S, Wolfender JL, Staub C. Mass spectrometry for the evaluation of cardiovascular diseases based on proteomics and lipidomics. Thromb Haemost 2017; 106:20-33. [DOI: 10.1160/th10-12-0812] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2010] [Accepted: 03/18/2011] [Indexed: 01/05/2023]
Abstract
SummaryThe identification and quantification of proteins and lipids is of major importance for the diagnosis, prognosis and understanding of the molecular mechanisms involved in disease development. Owing to its selectivity and sensitivity, mass spectrometry has become a key technique in analytical platforms for proteomic and lipidomic investigations. Using this technique, many strategies have been developed based on unbiased or targeted approaches to highlight or monitor molecules of interest from biomatrices. Although these approaches have largely been employed in cancer research, this type of investigation has been met by a growing interest in the field of cardiovascular disorders, potentially leading to the discovery of novel biomarkers and the development of new therapies. In this paper, we will review the different mass spectrometry- based proteomic and lipidomic strategies applied in cardiovascular diseases, especially atherosclerosis. Particular attention will be given to recent developments and the role of bioinformatics in data treatment. This review will be of broad interest to the medical community by providing a tutorial of how mass spectrometric strategies can support clinical trials.
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29
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Woolman M, Ferry I, Kuzan-Fischer CM, Wu M, Zou J, Kiyota T, Isik S, Dara D, Aman A, Das S, Taylor MD, Rutka JT, Ginsberg HJ, Zarrine-Afsar A. Rapid determination of medulloblastoma subgroup affiliation with mass spectrometry using a handheld picosecond infrared laser desorption probe. Chem Sci 2017; 8:6508-6519. [PMID: 28989676 PMCID: PMC5628578 DOI: 10.1039/c7sc01974b] [Citation(s) in RCA: 35] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2017] [Accepted: 07/21/2017] [Indexed: 12/25/2022] Open
Abstract
Medulloblastoma (MB), the most prevalent malignant childhood brain tumour, consists of at least 4 distinct subgroups each of which possesses a unique survival rate and response to treatment. To rapidly determine MB subgroup affiliation in a manner that would be actionable during surgery, we subjected murine xenograft tumours of two MB subgroups (SHH and Group 3) to Mass Spectrometry (MS) profiling using a handheld Picosecond InfraRed Laser (PIRL) desorption probe and interface developed by our group. This platform provides real time MS profiles of tissue based on laser desorbed lipids and small molecules with only 5-10 seconds of sampling. PIRL-MS analysis of ex vivo MB tumours offered a 98% success rate in subgroup determination, observed over 194 PIRL-MS datasets collected from 19 independent tumours (∼10 repetitions each) utilizing 6 different established MB cell lines. Robustness was verified by a 5%-leave-out-and-remodel test. PIRL ablated tissue material was collected on a filter paper and subjected to high resolution LC-MS to provide ion identity assignments for the m/z values that contribute most to the statistical discrimination between SHH and Group 3 MB. Based on this analysis, rapid classification of MB with PIRL-MS utilizes a variety of fatty acid chains, glycerophosphates, glycerophosphoglycerols and glycerophosphocholines rapidly extracted from the tumours. In this work, we provide evidence that 5-10 seconds of sampling from ex vivo MB tissue with PIRL-MS can allow robust tumour subgroup classification, and have identified several biomarker ions responsible for the statistical discrimination of MB Group 3 and the SHH subgroup. The existing PIRL-MS platform used herein offers capabilities for future in vivo use.
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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 .
- Department of Medical Biophysics , University of Toronto , 101 College Street , Toronto , ON M5G 1L7 , 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
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - 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
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - Megan Wu
- 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
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - Jing Zou
- Techna Institute for the Advancement of Technology for Health , University Health Network , 100 College Street , Toronto , ON M5G 1P5 , Canada .
| | - Taira Kiyota
- Drug Discovery Program , Ontario Institute for Cancer Research , 661 University Avenue , Toronto , ON M5G 0A3 , Canada
| | - Semra Isik
- Peter Gilgan Centre for Research and Learning , Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , Canada
| | - Delaram Dara
- Techna Institute for the Advancement of Technology for Health , University Health Network , 100 College Street , Toronto , ON M5G 1P5 , Canada .
| | - Ahmed Aman
- Drug Discovery Program , Ontario Institute for Cancer Research , 661 University Avenue , Toronto , ON M5G 0A3 , 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
- Keenan Research Center for Biomedical Science , The Li Ka Shing Knowledge Institute , St. Michael's Hospital , 30 Bond Street , Toronto , ON M5B 1W8 , Canada
| | - Michael D Taylor
- 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
- Developmental & Stem Cell Biology Program , The Hospital for Sick Children , 686 Bay Street , Toronto , ON M5G 0A4 , 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
| | - Howard J Ginsberg
- 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
- Institute of Biomaterials and Biomedical Engineering , University of Toronto , 164 College Street , Toronto , ON M5S 3G9 , Canada
| | - 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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30
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Fernández R, González P, Lage S, Garate J, Maqueda A, Marcaida I, Maguregui M, Ochoa B, Rodríguez FJ, Fernández JA. Influence of the Cation Adducts in the Analysis of Matrix-Assisted Laser Desorption Ionization Imaging Mass Spectrometry Data from Injury Models of Rat Spinal Cord. Anal Chem 2017; 89:8565-8573. [DOI: 10.1021/acs.analchem.7b02650] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Affiliation(s)
- Roberto Fernández
- Department
of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - Pau González
- Laboratory
of Molecular Neurology, Hospital Nacional de Parapléjicos (HNP), Finca la Peraleda s/n, 45071 Toledo, Spain
| | - Sergio Lage
- Department
of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - Jone Garate
- Department
of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - Alfredo Maqueda
- Laboratory
of Molecular Neurology, Hospital Nacional de Parapléjicos (HNP), Finca la Peraleda s/n, 45071 Toledo, Spain
| | - Iker Marcaida
- Department
of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - Maite Maguregui
- Department
of Analytical Chemistry, Faculty of Pharmacy, University of the Basque Country (UPV/EHU), Paseo de la Universidad 7, 01006, Vitoria-Gasteiz, Spain
| | - Begoña Ochoa
- Department
of Physiology, Faculty of Medicine and Nursing, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
| | - F. Javier Rodríguez
- Laboratory
of Molecular Neurology, Hospital Nacional de Parapléjicos (HNP), Finca la Peraleda s/n, 45071 Toledo, Spain
| | - José A. Fernández
- Department
of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940, Leioa, Spain
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31
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Perez CJ, Tata A, de Campos ML, Peng C, Ifa DR. Monitoring Toxic Ionic Liquids in Zebrafish (Danio rerio) with Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI). JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2017; 28:1136-1148. [PMID: 27778241 DOI: 10.1007/s13361-016-1515-9] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2016] [Revised: 09/19/2016] [Accepted: 09/21/2016] [Indexed: 05/20/2023]
Abstract
Ambient mass spectrometry imaging has become an increasingly powerful technique for the direct analysis of biological tissues in the open environment with minimal sample preparation and fast analysis times. In this study, we introduce desorption electrospray ionization mass spectrometry imaging (DESI-MSI) as a novel, rapid, and sensitive approach to localize the accumulation of a mildly toxic ionic liquid (IL), AMMOENG 130 in zebrafish (Danio rerio). The work demonstrates that DESI-MSI has the potential to rapidly monitor the accumulation of IL pollutants in aquatic organisms. AMMOENG 130 is a quaternary ammonium-based IL reported to be broadly used as a surfactant in commercialized detergents. It is known to exhibit acute toxicity to zebrafish causing extensive damage to gill secondary lamellae and increasing membrane permeability. Zebrafish were exposed to the IL in a static 96-h exposure study in concentrations near the LC50 of 1.25, 2.5, and 5.0 mg/L. DESI-MS analysis of zebrafish gills demonstrated the appearance of a dealkylated AMMOENG 130 metabolite in the lowest concentration of exposure identified by a high resolution hybrid LTQ-Orbitrap mass spectrometer as the trimethylstearylammonium ion, [C21H46N]+. With DESI-MSI, the accumulation of AMMOENG 130 and its dealkylated metabolite in zebrafish tissue was found in the nervous and respiratory systems. AMMOENG 130 and the metabolite were capable of penetrating the blood brain barrier of the fish with significant accumulation in the brain. Hence, we report for the first time the simultaneous characterization, distribution, and metabolism of a toxic IL in whole body zebrafish analyzed by DESI-MSI. This ambient mass spectrometry imaging technique shows great promise for the direct analysis of biological tissues to qualitatively monitor foreign, toxic, and persistent compounds in aquatic organisms from the environment. Graphical Abstract ᅟ.
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Affiliation(s)
- Consuelo J Perez
- Center for Research in Mass Spectrometry, Department of Chemistry, York University, Toronto, Ontario, Canada
| | - Alessandra Tata
- Center for Research in Mass Spectrometry, Department of Chemistry, York University, Toronto, Ontario, Canada
| | - Michel L de Campos
- Center for Research in Mass Spectrometry, Department of Chemistry, York University, Toronto, Ontario, Canada
- Department of Natural Active Principles and Toxicology, School of Pharmaceutical Sciences, São Paulo State University, Araraquara, São Paulo, Brazil
| | - Chun Peng
- Department of Biology, York University, Toronto, Ontario, Canada
| | - Demian R Ifa
- Center for Research in Mass Spectrometry, Department of Chemistry, York University, Toronto, Ontario, Canada.
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32
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Woolman M, Gribble A, Bluemke E, Zou J, Ventura M, Bernards N, Wu M, Ginsberg HJ, Das S, Vitkin A, Zarrine-Afsar A. Optimized Mass Spectrometry Analysis Workflow with Polarimetric Guidance for ex vivo and in situ Sampling of Biological Tissues. Sci Rep 2017; 7:468. [PMID: 28352074 PMCID: PMC5428042 DOI: 10.1038/s41598-017-00272-y] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2016] [Accepted: 02/14/2017] [Indexed: 02/02/2023] Open
Abstract
Spatially Targeted Mass Spectrometry (MS) analysis using survey scans with an imaging modality often requires consecutive tissue slices, because of the tissue damage during survey scan or due to incompatible sample preparation requirements between the survey modality and MS. We report two spatially targeted MS analysis workflows based on polarized light imaging guidance that use the same tissue sample for survey and targeted analysis. The first workflow is applicable for thin-slice analysis, and uses transmission-polarimetry-guided Desorption ElectroSpray Ionization Mass Spectrometry (DESI-MS), and confirmatory H&E histopathology analysis on the same slice; this is validated using quantitative digital pathology methods. The second workflow explores a polarimetry-guided MS platform for thick tissue assessment by developing reflection-mode polarimetric imaging coupled with a hand-held Picosecond InfraRed Laser (PIRL) MS ablation probe that requires minimal tissue removal to produce detectable signal. Tissue differentiation within 5–10 s of sampling with the hand-held probe is shown using multivariate statistical methods of the MS profiles. Both workflows were tasked with differentiating necrotic cancer sites from viable cancers using a breast tumour model, and their performance was evaluated. The use of the same tissue surface addresses mismatches in guidance due to intrinsic changes in tissue morphology over consecutive sections.
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Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada.,Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, Toronto, ON, M5G 1L7, Canada
| | - Adam Gribble
- Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, Toronto, ON, M5G 1L7, Canada
| | - Emma Bluemke
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Jing Zou
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Manuela Ventura
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Nicholas Bernards
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Megan Wu
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G-0A4, Canada
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network, 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, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada.,Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, 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.,Keenan Research Center for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada
| | - Alex Vitkin
- Peter Gilgan Centre for Research and Learning, Hospital for Sick Children, 686 Bay Street, Toronto, ON, M5G-0A4, Canada.,Department of Radiation Oncology, University of Toronto, 610 University Avenue, Toronto, Ontario, M5G 2M9, Canada.,Division of Biophysics and Bioimaging, Ontario Cancer Institute, University Health Network, 610 University Ave, Toronto, ON, M5G 2M9, Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada. .,Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, 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, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada.
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33
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Byliński H, Gębicki J, Dymerski T, Namieśnik J. Direct Analysis of Samples of Various Origin and Composition Using Specific Types of Mass Spectrometry. Crit Rev Anal Chem 2017; 47:340-358. [DOI: 10.1080/10408347.2017.1298986] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/19/2022]
Affiliation(s)
- Hubert Byliński
- Faculty of Chemistry, Department of Analytical Chemistry, Gdańsk University of Technology, Gdańsk, Poland
| | - Jacek Gębicki
- Faculty of Chemistry, Department of Chemical and Process Engineering, Gdańsk University of Technology, Gdańsk, Poland
| | - Tomasz Dymerski
- Faculty of Chemistry, Department of Analytical Chemistry, Gdańsk University of Technology, Gdańsk, Poland
| | - Jacek Namieśnik
- Faculty of Chemistry, Department of Analytical Chemistry, Gdańsk University of Technology, Gdańsk, Poland
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34
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Woolman M, Tata A, Bluemke E, Dara D, Ginsberg HJ, Zarrine-Afsar A. An Assessment of the Utility of Tissue Smears in Rapid Cancer Profiling with Desorption Electrospray Ionization Mass Spectrometry (DESI-MS). JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2017; 28:145-153. [PMID: 27730523 DOI: 10.1007/s13361-016-1506-x] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2016] [Revised: 08/08/2016] [Accepted: 08/30/2016] [Indexed: 06/06/2023]
Abstract
Mass spectrometry imaging with desorption electrospray ionization mass spectrometry (DESI-MS) is used to characterize cancer from ex vivo slices of tissues. The process is time-consuming. The use of tissue smears for DESI-MS analysis has been proposed as it eliminates the time required to snap-freeze and section the tissue. To assess the utility of tissue smears for rapid cancer characterization, principal component analysis (PCA) was performed to evaluate the concordance between DESI-MS profiles of breast cancer from tissue slices and smears prepared on various surfaces. PCA suggested no statistical discrimination between DESI-MS profiles of tissue sections and tissue smears prepared on glass, polytetrafluoroethylene (PTFE), and porous PTFE. However, the abundances of cancer biomarker ions varied between sections and smears, with DESI-MS analysis of tissue sections yielding higher ion abundances of cancer biomarkers compared with smears. Coefficient of variance (CV) analysis suggests DESI-MS profiles from tissue smears are as reproducible as the ones from tissue sections. The limit of detection with smear samples from single pixel analysis is comparable to tissue sections that average the signal from a tissue area of 0.01 mm2. The smears prepared on the PTFE surface possessed a higher degree of homogeneity compared with the smears prepared on the glass surface. This allowed single MS scans (~1 s) from random positions across the surface of the smear to be used in rapid cancer typing with good reproducibility, providing pathologic information for cancer typing at speeds suitable for clinical utility. Graphical Abstract ᅟ.
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Affiliation(s)
- Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Alessandra Tata
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Emma Bluemke
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Delaram Dara
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, ON, M5G-1P5, Canada
- Institute of Biomaterials and Biomedical Engineering, University of Toronto, 164 College Street, Toronto, ON, M5S 3G9, Canada
- Department of Surgery, University of Toronto, 149 College Street, Toronto, ON, M5T-1P5, Canada
- Keenan Research Center for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network, 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, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, ON, M5B-1W8, Canada.
- Department of Medical Biophysics, University of Toronto, 101 College Street Suite 15-701, Toronto, ON, M5G 1L7, Canada.
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35
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Huang KT, Ludy S, Calligaris D, Dunn IF, Laws E, Santagata S, Agar NYR. Rapid Mass Spectrometry Imaging to Assess the Biochemical Profile of Pituitary Tissue for Potential Intraoperative Usage. Adv Cancer Res 2016; 134:257-282. [PMID: 28110653 DOI: 10.1016/bs.acr.2016.11.006] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
Pituitary adenomas are relatively common intracranial neoplasms that are frequently treated with surgical resection. Rapid visualization of pituitary tissue remains a challenge as current techniques either produce little to no information on hormone-secreting function or are too slow to practically aid in intraoperative or even perioperative decision-making. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) represents a powerful method by which molecular maps of tissue samples can be created, yielding a two-dimensional representation of the expression patterns of small molecules and proteins from biologic samples. In this chapter, we review the use of MALDI MSI, its application to the characterization of the pituitary gland, and its potential applications for guiding the management of pituitary adenomas.
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Affiliation(s)
- K T Huang
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - S Ludy
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - D Calligaris
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - I F Dunn
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - E Laws
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States
| | - S Santagata
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States
| | - N Y R Agar
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
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36
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Bilkey J, Tata A, McKee TD, Porcari AM, Bluemke E, Woolman M, Ventura M, Eberlin MN, Zarrine-Afsar A. Variations in the Abundance of Lipid Biomarker Ions in Mass Spectrometry Images Correlate to Tissue Density. Anal Chem 2016; 88:12099-12107. [PMID: 28193010 DOI: 10.1021/acs.analchem.6b02767] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
While mass spectrometry (MS) imaging is widely used to investigate the molecular composition of ex vivo slices of cancerous tumors, little is known about how variations in the cellular properties of cancer tissue can influence cancer biomarker ion images. To better understand the basis for variations in the abundances of cancer biomarker ions seen in MS images of relatively homogeneous ex vivo tumor samples, sections of snap frozen human breast cancer murine xenografts were subjected to desorption electrospray ionization mass spectrometry (DESI-MS) imaging. Serial sections were then stained with hematoxylin and eosin (H&E) and subjected to detailed morphometric cellular analysis, using a commercial digital pathology platform augmented with custom-tailored image analysis algorithms developed in-house. Gross morphological heterogeneities due to stroma, vasculature, and noncancer cells were mapped in the tumor and found to not correlate with the areas of suppressed cancer biomarker abundance. Instead, the ion abundances of major breast cancer biomarkers were found to correlate with the cytoplasmic area of cancer cells that comprised the tumor tissue. Therefore, detailed cellular analyses can be used to rationalize subtle heterogeneities in ion abundance in MS images, not explained by the presence of gross morphological heterogeneities such as stroma.
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Affiliation(s)
- Jade Bilkey
- STTARR Innovation Centre, Princess Margaret Cancer Centre, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Alessandra Tata
- Techna Institute for the Advancement of Technology for Health, University Health Network , Toronto, Ontario M5G-1P5, Canada
| | - Trevor D McKee
- STTARR Innovation Centre, Princess Margaret Cancer Centre, 101 College Street, Toronto, Ontario M5G 1L7, Canada
| | - Andreia M Porcari
- ThoMSon Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas , Campinas, SP Brazil
| | - Emma Bluemke
- Techna Institute for the Advancement of Technology for Health, University Health Network , Toronto, Ontario M5G-1P5, Canada
| | - Michael Woolman
- Techna Institute for the Advancement of Technology for Health, University Health Network , Toronto, Ontario M5G-1P5, Canada
| | - Manuela Ventura
- Techna Institute for the Advancement of Technology for Health, University Health Network , Toronto, Ontario M5G-1P5, Canada
| | - Marcos N Eberlin
- ThoMSon Mass Spectrometry Laboratory, Institute of Chemistry, University of Campinas , Campinas, SP Brazil
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health, University Health Network , Toronto, Ontario M5G-1P5, Canada.,Department of Medical Biophysics, University of Toronto ,101 College Street Suite 15-701, Toronto, Ontario M5G 1L7, Canada.,Department of Surgery, University of Toronto , 149 College Street, Toronto, Ontario M5T-1P5, Canada.,Keenan Research Centre for Biomedical Science, Li Ka-Shing Knowledge Institute, St. Michael's Hospital , 30 Bond Street, Toronto, Ontario M5B-1W8, Canada
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37
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Rapid Detection of Necrosis in Breast Cancer with Desorption Electrospray Ionization Mass Spectrometry. Sci Rep 2016; 6:35374. [PMID: 27734938 PMCID: PMC5062153 DOI: 10.1038/srep35374] [Citation(s) in RCA: 50] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2016] [Accepted: 09/26/2016] [Indexed: 02/03/2023] Open
Abstract
Identification of necrosis in tumors is of prognostic value in treatment planning, as necrosis is associated with aggressive forms of cancer and unfavourable outcomes. To facilitate rapid detection of necrosis with Mass Spectrometry (MS), we report the lipid MS profile of necrotic breast cancer with Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) imaging validated with statistical analysis and correlating pathology. This MS profile is characterized by (1) the presence of the ion of m/z 572.48 [Cer(d34:1) + Cl]− which is a ceramide absent from the viable cancer subregions; (2) the absence of the ion of m/z 391.25 which is present in small abundance only in viable cancer subregions; and (3) a slight increase in the relative intensity of known breast cancer biomarker ions of m/z 281.25 [FA(18:1)-H]− and 303.23 [FA(20:4)-H]−. Necrosis is accompanied by alterations in the tissue optical depolarization rate, allowing tissue polarimetry to guide DESI-MS analysis for rapid MS profiling or targeted MS imaging. This workflow, in combination with the MS profile of necrosis, may permit rapid characterization of necrotic tumors from tissue slices. Further, necrosis-specific biomarker ions are detected in seconds with single MS scans of necrotic tumor tissue smears, which further accelerates the identification workflow by avoiding tissue sectioning and slide preparation.
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38
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Eberlin LS, Margulis K, Planell-Mendez I, Zare RN, Tibshirani R, Longacre TA, Jalali M, Norton JA, Poultsides GA. Pancreatic Cancer Surgical Resection Margins: Molecular Assessment by Mass Spectrometry Imaging. PLoS Med 2016; 13:e1002108. [PMID: 27575375 PMCID: PMC5019340 DOI: 10.1371/journal.pmed.1002108] [Citation(s) in RCA: 69] [Impact Index Per Article: 8.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Accepted: 07/07/2016] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Surgical resection with microscopically negative margins remains the main curative option for pancreatic cancer; however, in practice intraoperative delineation of resection margins is challenging. Ambient mass spectrometry imaging has emerged as a powerful technique for chemical imaging and real-time diagnosis of tissue samples. We applied an approach combining desorption electrospray ionization mass spectrometry imaging (DESI-MSI) with the least absolute shrinkage and selection operator (Lasso) statistical method to diagnose pancreatic tissue sections and prospectively evaluate surgical resection margins from pancreatic cancer surgery. METHODS AND FINDINGS Our methodology was developed and tested using 63 banked pancreatic cancer samples and 65 samples (tumor and specimen margins) collected prospectively during 32 pancreatectomies from February 27, 2013, to January 16, 2015. In total, mass spectra for 254,235 individual pixels were evaluated. When cross-validation was employed in the training set of samples, 98.1% agreement with histopathology was obtained. Using an independent set of samples, 98.6% agreement was achieved. We used a statistical approach to evaluate 177,727 mass spectra from samples with complex, mixed histology, achieving an agreement of 81%. The developed method showed agreement with frozen section evaluation of specimen margins in 24 of 32 surgical cases prospectively evaluated. In the remaining eight patients, margins were found to be positive by DESI-MSI/Lasso, but negative by frozen section analysis. The median overall survival after resection was only 10 mo for these eight patients as opposed to 26 mo for patients with negative margins by both techniques. This observation suggests that our method (as opposed to the standard method to date) was able to detect tumor involvement at the margin in patients who developed early recurrence. Nonetheless, a larger cohort of samples is needed to validate the findings described in this study. Careful evaluation of the long-term benefits to patients of the use of DESI-MSI for surgical margin evaluation is also needed to determine its value in clinical practice. CONCLUSIONS Our findings provide evidence that the molecular information obtained by DESI-MSI/Lasso from pancreatic tissue samples has the potential to transform the evaluation of surgical specimens. With further development, we believe the described methodology could be routinely used for intraoperative surgical margin assessment of pancreatic cancer.
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Affiliation(s)
- Livia S. Eberlin
- Department of Chemistry, Stanford University, Stanford, California, United States of America
| | - Katherine Margulis
- Department of Chemistry, Stanford University, Stanford, California, United States of America
| | - Ivette Planell-Mendez
- Department of Chemistry, Stanford University, Stanford, California, United States of America
| | - Richard N. Zare
- Department of Chemistry, Stanford University, Stanford, California, United States of America
- * E-mail:
| | - Robert Tibshirani
- Department of Biomedical Data Sciences, Stanford University, Stanford, California, United States of America
- Department of Statistics, Stanford University, Stanford, California, United States of America
| | - Teri A. Longacre
- Department of Pathology, Stanford University, Stanford, California, United States of America
| | - Moe Jalali
- Department of Surgery, Stanford University, Stanford, California, United States of America
| | - Jeffrey A. Norton
- Department of Surgery, Stanford University, Stanford, California, United States of America
| | - George A. Poultsides
- Department of Surgery, Stanford University, Stanford, California, United States of America
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39
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Tata A, Gribble A, Ventura M, Ganguly M, Bluemke E, Ginsberg HJ, Jaffray DA, Ifa DR, Vitkin A, Zarrine-Afsar A. Wide-field tissue polarimetry allows efficient localized mass spectrometry imaging of biological tissues. Chem Sci 2016; 7:2162-2169. [PMID: 30155015 PMCID: PMC6090527 DOI: 10.1039/c5sc03782d] [Citation(s) in RCA: 39] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2015] [Accepted: 12/14/2015] [Indexed: 11/21/2022] Open
Abstract
While mass spectrometers can detect chemical signatures within milliseconds of data acquisition time, the non-targeted nature of mass spectrometry imaging (MSI) necessitates probing the entire surface of the sample to reveal molecular composition even if the information is only sought from a sample subsection. This leads to long analysis times. Here, we used polarimetry to identify, within a biological tissue, areas of polarimetric heterogeneity indicative of cancer. We were then able to target our MS analysis using polarimetry results to either the cancer region itself or to the cancer margin. A tandem of polarimetry and Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI-MSI) enables fast (10 fold compared to non-targeted imaging), and accurate pathology assessment (cancer typification in less than 2 minutes compared to 30 minutes for histopathology) of ex vivo tissue slices, without additional sample preparation. This workflow reduces the overall analysis time of MSI as a research tool.
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Affiliation(s)
- Alessandra Tata
- Techna Institute for the Advancement of Technology for Health , University Health Network , Toronto , ON M5G-1P5 , Canada .
| | - Adam Gribble
- Department of Medical Biophysics , University of Toronto , 101 College Street Suite 15-701 , Toronto , ON M5G 1L7 , Canada
| | - Manuela Ventura
- Techna Institute for the Advancement of Technology for Health , University Health Network , Toronto , ON M5G-1P5 , Canada .
| | - Milan Ganguly
- STTARR Innovation Centre , Princess Margaret Cancer Centre , 101 College Street , Toronto , ON M5G 1L7 , Canada
| | - Emma Bluemke
- Techna Institute for the Advancement of Technology for Health , University Health Network , Toronto , ON M5G-1P5 , Canada .
- Department of Medical Biophysics , University of Toronto , 101 College Street Suite 15-701 , Toronto , ON M5G 1L7 , Canada
| | - Howard J Ginsberg
- Techna Institute for the Advancement of Technology for Health , University Health Network , Toronto , ON M5G-1P5 , Canada .
- Department of Surgery , University of Toronto , 149 College Street , Toronto , ON M5T-1P5 , Canada
- Keenan Research Centre for Biomedical Science , Li KaShing 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 , Toronto , ON M5G-1P5 , Canada .
- Department of Medical Biophysics , University of Toronto , 101 College Street Suite 15-701 , Toronto , ON M5G 1L7 , Canada
| | - Demian R Ifa
- Department of Chemistry , York University , 4700 Keele Street , Toronto , ON M3J-1P3 , Canada
| | - Alex Vitkin
- Department of Medical Biophysics , University of Toronto , 101 College Street Suite 15-701 , Toronto , ON M5G 1L7 , Canada
- Department of Radiation Oncology , University of Toronto , 610 University Avenue , Toronto , Ontario M5G 2M9 , Canada
- Division of Biophysics and Bioimaging , Ontario Cancer Institute , University Health Network , 610 University Ave , Toronto , ON M5G 2M9 , Canada
| | - Arash Zarrine-Afsar
- Techna Institute for the Advancement of Technology for Health , University Health Network , Toronto , ON M5G-1P5 , Canada .
- Department of Medical Biophysics , University of Toronto , 101 College Street Suite 15-701 , Toronto , ON M5G 1L7 , Canada
- Department of Surgery , University of Toronto , 149 College Street , Toronto , ON M5T-1P5 , Canada
- Keenan Research Centre for Biomedical Science , Li KaShing Knowledge Institute , St. Michael's Hospital , 30 Bond Street , Toronto , ON M5B-1W8 , Canada
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40
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van Dam A, van Beek FT, Aalders MC, van Leeuwen TG, Lambrechts SA. Techniques that acquire donor profiling information from fingermarks — A review. Sci Justice 2016; 56:143-54. [DOI: 10.1016/j.scijus.2015.12.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/03/2015] [Revised: 11/30/2015] [Accepted: 12/12/2015] [Indexed: 10/22/2022]
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41
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Ifa DR, Eberlin LS. Ambient Ionization Mass Spectrometry for Cancer Diagnosis and Surgical Margin Evaluation. Clin Chem 2015; 62:111-23. [PMID: 26555455 DOI: 10.1373/clinchem.2014.237172] [Citation(s) in RCA: 124] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2015] [Accepted: 09/28/2015] [Indexed: 01/12/2023]
Abstract
BACKGROUND There is a clinical need for new technologies that would enable rapid disease diagnosis based on diagnostic molecular signatures. Ambient ionization mass spectrometry has revolutionized the means by which molecular information can be obtained from tissue samples in real time and with minimal sample pretreatment. New developments in ambient ionization techniques applied to clinical research suggest that ambient ionization mass spectrometry will soon become a routine medical tool for tissue diagnosis. CONTENT This review summarizes the main developments in ambient ionization techniques applied to tissue analysis, with focus on desorption electrospray ionization mass spectrometry, probe electrospray ionization, touch spray, and rapid evaporative ionization mass spectrometry. We describe their applications to human cancer research and surgical margin evaluation, highlighting integrated approaches tested for ex vivo and in vivo human cancer tissue analysis. We also discuss the challenges for clinical implementation of these tools and offer perspectives on the future of the field. SUMMARY A variety of studies have showcased the value of ambient ionization mass spectrometry for rapid and accurate cancer diagnosis. Small molecules have been identified as potential diagnostic biomarkers, including metabolites, fatty acids, and glycerophospholipids. Statistical analysis allows tissue discrimination with high accuracy rates (>95%) being common. This young field has challenges to overcome before it is ready to be broadly accepted as a medical tool for cancer diagnosis. Growing research in new, integrated ambient ionization mass spectrometry technologies and the ongoing improvements in the existing tools make this field very promising for future translation into the clinic.
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Affiliation(s)
- Demian R Ifa
- Department of Chemistry, York University, Toronto, ON, Canada
| | - Livia S Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX.
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42
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Yang L, Li M, Shan Y, Shen S, Bai Y, Liu H. Recent advances in lipidomics for disease research. J Sep Sci 2015; 39:38-50. [PMID: 26394722 DOI: 10.1002/jssc.201500899] [Citation(s) in RCA: 68] [Impact Index Per Article: 7.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2015] [Revised: 09/14/2015] [Accepted: 09/15/2015] [Indexed: 12/15/2022]
Abstract
Lipidomics is an important branch of metabolomics, which aims at the detailed analysis of lipid species and their multiple roles in the living system. In recent years, the development of various analytical methods for effective identification and characterization of lipids has greatly promoted the process of lipidomics. Meanwhile, as many diseases demonstrate a remarkable alteration in lipid profiles compared with that of healthy people, lipidomics has been extensively introduced to disease research. The comprehensive lipid profiling provides a chance to discover novel biomarkers for specific disease. In addition, it plays a crucial role in the study of lipid metabolism, which could illuminate the pathogenesis of diseases. In this review, after brief discussion of analytical methods for lipidomics in clinical research, we focus on the recent advances of lipidomics related to four types of diseases, including cancer, atherosclerosis, diabetes mellitus, and Alzheimer's disease.
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Affiliation(s)
- Li Yang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Min Li
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Yabing Shan
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.,National Research Center for Geoanalysis, Beijing, China
| | - Sensen Shen
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Yu Bai
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Huwei Liu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Institute of Analytical Chemistry, College of Chemistry and Molecular Engineering, Peking University, Beijing, China
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Abstract
Drug absorption, distribution, metabolism, excretion and toxicology study is one important step in drug discovery and development. MS imaging has become one of the popular methods in this field. Here, selected ionization methods such as matrix-assisted laser desorption/ionization, secondary ion MS and desorption electrospray ionization have been briefly discussed. To differentiate drug and drug metabolites from endogenous compounds present in the biological system, exact mass and/or tandem MS is necessary. As a result, mass analyzers such as time-of-flight, Fourier transform ion cyclotron resonance or Orbitrap are often the method of choice and are briefly introduced.
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44
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Tata A, Zheng J, Ginsberg HJ, Jaffray DA, Ifa DR, Zarrine-Afsar A. Contrast Agent Mass Spectrometry Imaging Reveals Tumor Heterogeneity. Anal Chem 2015; 87:7683-9. [PMID: 26138213 DOI: 10.1021/acs.analchem.5b01992] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Mapping intratumoral heterogeneity such as vasculature and margins is important during intraoperative applications. Desorption electrospray ionization mass spectrometry (DESI-MS) has demonstrated potential for intraoperative tumor imaging using validated MS profiles. The clinical translation of DESI-MS into a universal label-free imaging technique thus requires access to MS profiles characteristic to tumors and healthy tissues. Here, we developed contrast agent mass spectrometry imaging (CA-MSI) that utilizes a magnetic resonance imaging (MRI) contrast agent targeted to disease sites, as a label, to reveal tumor heterogeneity in the absence of known MS profiles. Human breast cancer tumors grown in mice were subjected to CA-MSI using Gadoteridol revealing tumor margins and vasculature from the localization of [Gadoteridol+K](+) and [Gadoteridol+Na](+) adducts, respectively. The localization of the [Gadoteridol+K](+) adduct as revealed through DESI-MS complements the in vivo MRI results. DESI-MS imaging is therefore possible for tumors for which no characteristic MS profiles are established. Further DESI-MS imaging of the flux of the contrast agent through mouse kidneys was performed indicating secretion of the intact label.
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Affiliation(s)
- Alessandra Tata
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada.,‡Department of Chemistry, York University, 4700 Keele Street, Toronto, Ontario M3J-1P3, Canada
| | - Jinzi Zheng
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada
| | - Howard J Ginsberg
- §Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T-1P5, Canada.,⊥Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B-1W8, Canada
| | - David A Jaffray
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada.,∥Department of Medical Biophysics, University of Toronto, 101 College Street, Suite 15-701, Toronto, Ontario M5G 1L7, Canada
| | - Demian R Ifa
- ‡Department of Chemistry, York University, 4700 Keele Street, Toronto, Ontario M3J-1P3, Canada
| | - Arash Zarrine-Afsar
- †Techna Institute for the Advancement of Technology for Health, University Health Network, Toronto, Ontario M5G-1P5, Canada.,§Department of Surgery, University of Toronto, 149 College Street, Toronto, Ontario M5T-1P5, Canada.,⊥Keenan Research Centre for Biomedical Science, Li Ka Shing Knowledge Institute, St. Michael's Hospital, 30 Bond Street, Toronto, Ontario M5B-1W8, Canada.,∥Department of Medical Biophysics, University of Toronto, 101 College Street, Suite 15-701, Toronto, Ontario M5G 1L7, Canada
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45
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Rao W, Pan N, Yang Z. High Resolution Tissue Imaging Using the Single-probe Mass Spectrometry under Ambient Conditions. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2015; 26:986-993. [PMID: 25804891 DOI: 10.1007/s13361-015-1091-4] [Citation(s) in RCA: 48] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/13/2014] [Revised: 01/25/2015] [Accepted: 02/03/2015] [Indexed: 06/04/2023]
Abstract
Ambient mass spectrometry imaging (MSI) is an emerging field with great potential for the detailed spatial analysis of biological samples with minimal pretreatment. We have developed a miniaturized sampling and ionization device, the Single-probe, which uses in-situ surface micro-extraction to achieve high detection sensitivity and spatial resolution during MSI experiments. The Single-probe was coupled to a Thermo LTQ Orbitrap XL mass spectrometer and was able to create high spatial and high mass resolution MS images at 8 ± 2 and 8.5 μm on flat polycarbonate microscope slides and mouse kidney sections, respectively, which are among the highest resolutions available for ambient MSI techniques. Our proof-of-principle experiments indicate that the Single-probe MSI technique has the potential to obtain ambient MS images with very high spatial resolutions with minimal sample preparation, which opens the possibility for subcellular ambient tissue MSI to be performed in the future.
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Affiliation(s)
- Wei Rao
- Department of Chemistry and Biochemistry, University of Oklahoma, Norman, Oklahoma, 73019, USA
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46
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Cobice DF, Goodwin RJA, Andren PE, Nilsson A, Mackay CL, Andrew R. Future technology insight: mass spectrometry imaging as a tool in drug research and development. Br J Pharmacol 2015; 172:3266-83. [PMID: 25766375 DOI: 10.1111/bph.13135] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 02/09/2015] [Accepted: 03/03/2015] [Indexed: 12/14/2022] Open
Abstract
In pharmaceutical research, understanding the biodistribution, accumulation and metabolism of drugs in tissue plays a key role during drug discovery and development. In particular, information regarding pharmacokinetics, pharmacodynamics and transport properties of compounds in tissues is crucial during early screening. Historically, the abundance and distribution of drugs have been assessed by well-established techniques such as quantitative whole-body autoradiography (WBA) or tissue homogenization with LC/MS analysis. However, WBA does not distinguish active drug from its metabolites and LC/MS, while highly sensitive, does not report spatial distribution. Mass spectrometry imaging (MSI) can discriminate drug and its metabolites and endogenous compounds, while simultaneously reporting their distribution. MSI data are influencing drug development and currently used in investigational studies in areas such as compound toxicity. In in vivo studies MSI results may soon be used to support new drug regulatory applications, although clinical trial MSI data will take longer to be validated for incorporation into submissions. We review the current and future applications of MSI, focussing on applications for drug discovery and development, with examples to highlight the impact of this promising technique in early drug screening. Recent sample preparation and analysis methods that enable effective MSI, including quantitative analysis of drugs from tissue sections will be summarized and key aspects of methodological protocols to increase the effectiveness of MSI analysis for previously undetectable targets addressed. These examples highlight how MSI has become a powerful tool in drug research and development and offers great potential in streamlining the drug discovery process.
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Affiliation(s)
- D F Cobice
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - R J A Goodwin
- Drug Metabolism and Distribution, Mass Spectrometry Imaging, AstraZeneca R&D, Macclesfield, UK
| | - P E Andren
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - A Nilsson
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - C L Mackay
- SIRCAMS, School of Chemistry, University of Edinburgh, Edinburgh, UK
| | - R Andrew
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
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47
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Mirabelli MF, Coviello G, Volmer DA. Determining fatty acids by desorption/ionization mass spectrometry using thin-layer chromatography substrates. Anal Bioanal Chem 2015; 407:4513-22. [DOI: 10.1007/s00216-015-8630-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2015] [Revised: 03/09/2015] [Accepted: 03/10/2015] [Indexed: 11/25/2022]
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48
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Advances in sample preparation and analytical techniques for lipidomics study of clinical samples. Trends Analyt Chem 2015. [DOI: 10.1016/j.trac.2014.10.010] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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49
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Bodzon-Kulakowska A, Drabik A, Mystkowska J, Chlabicz M, Gacko M, Dabrowski JR, Mielczarek P, Silberring J, Suder P. Desorption electrospray ionization-based imaging of interaction between vascular graft and human body. J Biomed Mater Res B Appl Biomater 2015; 104:192-6. [PMID: 25726933 DOI: 10.1002/jbm.b.33385] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2014] [Revised: 01/07/2015] [Accepted: 01/25/2015] [Indexed: 11/10/2022]
Abstract
The desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) is known as a fast and convenient MS-based method for lipid imaging in various biological materials. Here, we applied this technique to visualize lipid distribution in a vascular graft removed from a patient's body. This is a good example of the DESI system capabilities toward imaging of interaction between artificial material and living tissues. Detailed analysis allowed for visualization of the spatial distribution of selected lipids in this implanted, artificial material. Not only DESI-MSI allowed visualization of lipid distribution in the investigated material but also enabled identification of the detected molecular species using MS/MS. Here, this technique was successfully used to evaluate the saturation and spatial distribution of endogenous lipids in the artificial vascular graft. Unambiguous identification of the lipids was done with the aid of fragmentation procedure. We also showed that various lipids localize preferably in graft material or internal plaque existing inside the graft.
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Affiliation(s)
- Anna Bodzon-Kulakowska
- Department of Biochemistry and Neurobiology, Faculty of Materials Sciences and Ceramics, AGH University of Science and Technology, 30-059, Krakow, Poland
| | - Anna Drabik
- Department of Biochemistry and Neurobiology, Faculty of Materials Sciences and Ceramics, AGH University of Science and Technology, 30-059, Krakow, Poland
| | - Joanna Mystkowska
- Department of Materials and Biomedical Engineering, Faculty of Mechanical Engineering, Bialystok University of Technology, 15-351, Bialystok, Poland
| | - Michal Chlabicz
- Department of Vascular Surgery and Transplantology, Medical University of Bialystok, 15-089, Białystok, Poland
| | - Marek Gacko
- Department of Vascular Surgery and Transplantology, Medical University of Bialystok, 15-089, Białystok, Poland
| | - Jan R Dabrowski
- Department of Materials and Biomedical Engineering, Faculty of Mechanical Engineering, Bialystok University of Technology, 15-351, Bialystok, Poland
| | - Przemyslaw Mielczarek
- Academic Centre for Materials and Nanotechnology (ACMiN), AGH University of Science and Technology, 30-059, Krakow, Poland
| | - Jerzy Silberring
- Department of Biochemistry and Neurobiology, Faculty of Materials Sciences and Ceramics, AGH University of Science and Technology, 30-059, Krakow, Poland.,Centre of Polymer and Carbon Materials, Polish Academy of Sciences, 41-819, Zabrze, Poland
| | - Piotr Suder
- Department of Biochemistry and Neurobiology, Faculty of Materials Sciences and Ceramics, AGH University of Science and Technology, 30-059, Krakow, Poland.,Academic Centre for Materials and Nanotechnology (ACMiN), AGH University of Science and Technology, 30-059, Krakow, Poland
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50
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Lostun D, Perez CJ, Licence P, Barrett DA, Ifa DR. Reactive DESI-MS imaging of biological tissues with dicationic ion-pairing compounds. Anal Chem 2015; 87:3286-93. [PMID: 25710577 DOI: 10.1021/ac5042445] [Citation(s) in RCA: 50] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/21/2023]
Abstract
This work illustrates reactive desorption electrospray ionization mass spectrometry (DESI-MS) with a stable dication on biological tissues. Rat brain and zebra fish tissues were investigated with reactive DESI-MS in which the dictation forms a stable bond with biological tissue fatty acids and lipids. Tandem mass spectrometry (MS/MS) was used to characterize the dication (DC9) and to identify linked lipid-dication compounds formed. The fragment m/z 85 common to both DC9 fragmentation and DC9-lipid fragmentation was used to confirm that DC9 is indeed bonded with the lipids. Lipid signals in the range of m/z 250-350 and phosphoethanolamines (PE) m/z 700-800 observed in negative ion mode were also detected in positive ion mode with reactive DESI-MS with enhanced signal intensity. Reactive DESI-MS imaging in positive ion mode of rat brain and zebra fish tissues allowed enhanced detection of compounds commonly observed in the negative ion mode.
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Affiliation(s)
- Dragos Lostun
- †Department of Chemistry, Centre for Research in Mass Spectrometry, York University, Toronto, Ontario M3J 1P3, Canada
| | - Consuelo J Perez
- †Department of Chemistry, Centre for Research in Mass Spectrometry, York University, Toronto, Ontario M3J 1P3, Canada
| | - Peter Licence
- ‡School of Chemistry, University of Nottingham, Nottingham NG7 2RD, U.K
| | - David A Barrett
- §Centre for Analytical Bioscience, School of Pharmacy, University of Nottingham, Nottingham NG7 2RD, U.K
| | - Demian R Ifa
- †Department of Chemistry, Centre for Research in Mass Spectrometry, York University, Toronto, Ontario M3J 1P3, Canada
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