51
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Tuck M, Blanc L, Touti R, Patterson NH, Van Nuffel S, Villette S, Taveau JC, Römpp A, Brunelle A, Lecomte S, Desbenoit N. Multimodal Imaging Based on Vibrational Spectroscopies and Mass Spectrometry Imaging Applied to Biological Tissue: A Multiscale and Multiomics Review. Anal Chem 2020; 93:445-477. [PMID: 33253546 DOI: 10.1021/acs.analchem.0c04595] [Citation(s) in RCA: 33] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Affiliation(s)
- Michael Tuck
- Institut de Chimie & Biologie des Membranes & des Nano-objets, CBMN UMR 5248, CNRS, Université de Bordeaux, 1 Allée Geoffroy Saint-Hilaire, 33600 Pessac, France
| | - Landry Blanc
- Institut de Chimie & Biologie des Membranes & des Nano-objets, CBMN UMR 5248, CNRS, Université de Bordeaux, 1 Allée Geoffroy Saint-Hilaire, 33600 Pessac, France
| | - Rita Touti
- Institut de Chimie & Biologie des Membranes & des Nano-objets, CBMN UMR 5248, CNRS, Université de Bordeaux, 1 Allée Geoffroy Saint-Hilaire, 33600 Pessac, France
| | - Nathan Heath Patterson
- Mass Spectrometry Research Center, Department of Biochemistry, Vanderbilt University, Nashville, Tennessee 37232-8575, United States
| | - Sebastiaan Van Nuffel
- Materials Research Institute, The Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Sandrine Villette
- Institut de Chimie & Biologie des Membranes & des Nano-objets, CBMN UMR 5248, CNRS, Université de Bordeaux, 1 Allée Geoffroy Saint-Hilaire, 33600 Pessac, France
| | - Jean-Christophe Taveau
- Institut de Chimie & Biologie des Membranes & des Nano-objets, CBMN UMR 5248, CNRS, Université de Bordeaux, 1 Allée Geoffroy Saint-Hilaire, 33600 Pessac, France
| | - Andreas Römpp
- Bioanalytical Sciences and Food Analysis, University of Bayreuth, Universitätsstraße 30, 95440 Bayreuth, Germany
| | - Alain Brunelle
- Laboratoire d'Archéologie Moléculaire et Structurale, LAMS UMR 8220, CNRS, Sorbonne Université, 4 Place Jussieu, 75005 Paris, France
| | - Sophie Lecomte
- Institut de Chimie & Biologie des Membranes & des Nano-objets, CBMN UMR 5248, CNRS, Université de Bordeaux, 1 Allée Geoffroy Saint-Hilaire, 33600 Pessac, France
| | - Nicolas Desbenoit
- Institut de Chimie & Biologie des Membranes & des Nano-objets, CBMN UMR 5248, CNRS, Université de Bordeaux, 1 Allée Geoffroy Saint-Hilaire, 33600 Pessac, France
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52
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Zhou Q, Fülöp A, Hopf C. Recent developments of novel matrices and on-tissue chemical derivatization reagents for MALDI-MSI. Anal Bioanal Chem 2020; 413:2599-2617. [PMID: 33215311 PMCID: PMC8007514 DOI: 10.1007/s00216-020-03023-7] [Citation(s) in RCA: 51] [Impact Index Per Article: 12.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Revised: 10/17/2020] [Accepted: 10/22/2020] [Indexed: 02/07/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a fast-growing technique for visualization of the spatial distribution of the small molecular and macromolecular biomolecules in tissue sections. Challenges in MALDI-MSI, such as poor sensitivity for some classes of molecules or limited specificity, for instance resulting from the presence of isobaric molecules or limited resolving power of the instrument, have encouraged the MSI scientific community to improve MALDI-MSI sample preparation workflows with innovations in chemistry. Recent developments of novel small organic MALDI matrices play a part in the improvement of image quality and the expansion of the application areas of MALDI-MSI. This includes rationally designed/synthesized as well as commercially available small organic molecules whose superior matrix properties in comparison with common matrices have only recently been discovered. Furthermore, on-tissue chemical derivatization (OTCD) processes get more focused attention, because of their advantages for localization of poorly ionizable metabolites and their‚ in several cases‚ more specific imaging of metabolites in tissue sections. This review will provide an overview about the latest developments of novel small organic matrices and on-tissue chemical derivatization reagents for MALDI-MSI. Graphical abstract ![]()
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Affiliation(s)
- Qiuqin Zhou
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163, Mannheim, Germany
| | - Annabelle Fülöp
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163, Mannheim, Germany
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163, Mannheim, Germany.
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53
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Handler AM, Fallah M, Just Pedersen A, Pommergaard Pedersen G, Troensegaard Nielsen K, Janfelt C. MALDI mass spectrometry imaging as a complementary analytical method for improved skin distribution analysis of drug molecule and excipients. Int J Pharm 2020; 590:119949. [DOI: 10.1016/j.ijpharm.2020.119949] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 09/23/2020] [Accepted: 10/02/2020] [Indexed: 10/23/2022]
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54
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Källback P, Vallianatou T, Nilsson A, Shariatgorji R, Schintu N, Pereira M, Barré F, Wadensten H, Svenningsson P, Andrén PE. Cross-validated Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Quantitation Protocol for a Pharmaceutical Drug and Its Drug-Target Effects in the Brain Using Time-of-Flight and Fourier Transform Ion Cyclotron Resonance Analyzers. Anal Chem 2020; 92:14676-14684. [PMID: 33086792 PMCID: PMC7660593 DOI: 10.1021/acs.analchem.0c03203] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
![]()
Matrix-assisted laser desorption/ionization
mass spectrometry imaging
(MALDI-MSI) is an established tool in drug development, which enables
visualization of drugs and drug metabolites at spatial localizations
in tissue sections from different organs. However, robust and accurate
quantitation by MALDI-MSI still remains a challenge. We present a
quantitative MALDI-MSI method using two instruments with different
types of mass analyzers, i.e., time-of-flight (TOF) and Fourier transform
ion cyclotron resonance (FTICR) MS, for mapping levels of the in vivo-administered drug citalopram, a selective serotonin
reuptake inhibitor, in mouse brain tissue sections. Six different
methods for applying calibration standards and an internal standard
were evaluated. The optimized method was validated according to authorities’
guidelines and requirements, including selectivity, accuracy, precision,
recovery, calibration curve, sensitivity, reproducibility, and stability
parameters. We showed that applying a dilution series of calibration
standards followed by a homogeneously applied, stable, isotopically
labeled standard for normalization and a matrix on top of the tissue
section yielded similar results to those from the reference method
using liquid chromatography–tandem mass spectrometry (LC–MS/MS).
The validation results were within specified limits and the brain
concentrations for TOF MS (51.1 ± 4.4 pmol/mg) and FTICR MS (56.9
± 6.0 pmol/mg) did not significantly differ from those of the
cross-validated LC–MS/MS method (55.0 ± 4.9 pmol/mg).
The effect of in vivo citalopram administration on
the serotonin neurotransmitter system was studied in the hippocampus,
a brain region that is the principal target of the serotonergic afferents
along with the limbic system, and it was shown that serotonin was
significantly increased (2-fold), but its metabolite 5-hydroxyindoleacetic
acid was not. This study makes a substantial step toward establishing
MALDI-MSI as a fully quantitative validated method.
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Affiliation(s)
- Patrik Källback
- Medical Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, BMC 591, 75124 Uppsala, Sweden
| | - Theodosia Vallianatou
- Medical Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, BMC 591, 75124 Uppsala, Sweden
| | - Anna Nilsson
- Medical Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, BMC 591, 75124 Uppsala, Sweden.,Science for Life Laboratory, National Resource for Mass Spectrometry Imaging, Uppsala University, BMC 591, 75124 Uppsala, Sweden
| | - Reza Shariatgorji
- Medical Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, BMC 591, 75124 Uppsala, Sweden.,Science for Life Laboratory, National Resource for Mass Spectrometry Imaging, Uppsala University, BMC 591, 75124 Uppsala, Sweden
| | - Nicoletta Schintu
- Department of Neurology and Clinical Neuroscience, Karolinska Institutet and Karolinska University Hospital, 17176, Stockholm, Sweden
| | - Marcela Pereira
- Department of Neurology and Clinical Neuroscience, Karolinska Institutet and Karolinska University Hospital, 17176, Stockholm, Sweden
| | - Florian Barré
- Medical Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, BMC 591, 75124 Uppsala, Sweden
| | - Henrik Wadensten
- Medical Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, BMC 591, 75124 Uppsala, Sweden
| | - Per Svenningsson
- Department of Neurology and Clinical Neuroscience, Karolinska Institutet and Karolinska University Hospital, 17176, Stockholm, Sweden
| | - Per E Andrén
- Medical Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, BMC 591, 75124 Uppsala, Sweden.,Science for Life Laboratory, National Resource for Mass Spectrometry Imaging, Uppsala University, BMC 591, 75124 Uppsala, Sweden
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55
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Kołodziej A, Ruman T, Nizioł J. Gold and silver nanoparticles-based laser desorption/ionization mass spectrometry method for detection and quantification of carboxylic acids. JOURNAL OF MASS SPECTROMETRY : JMS 2020; 55:e4604. [PMID: 32720749 DOI: 10.1002/jms.4604] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 06/15/2020] [Accepted: 06/24/2020] [Indexed: 06/11/2023]
Abstract
A comparison of ionization efficiency for gold and silver nanoparticles used as an active media of matrix-less laser desorption/ionization (LDI) mass spectrometry (MS) methods was made for carboxylic acids including fatty acids. The matrix-assisted laser desorption/ionization (MALDI)-type targets containing monoisotopic cationic 109 Ag nanoparticles (109 AgNPs) and Au nanoparticles (AuNPs) were used for rapid MS measurements of 10 carboxylic acids of different chemical properties. Carboxylic acids were directly quantified in experiments with 10 000-fold concentration change conditions ranging from 1 mg/ml to 100 ng/ml which equates to 1 μg to 100 pg of carboxylic acids per measurement spot.
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Affiliation(s)
- Artur Kołodziej
- Doctoral School of Engineering and Technical Sciences, Rzeszów University of Technology, 8 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland
| | - Tomasz Ruman
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland
| | - Joanna Nizioł
- Faculty of Chemistry, Rzeszów University of Technology, 6 Powstańców Warszawy Ave., Rzeszów, 35-959, Poland
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56
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Tobias F, Hummon AB. Considerations for MALDI-Based Quantitative Mass Spectrometry Imaging Studies. J Proteome Res 2020; 19:3620-3630. [PMID: 32786684 DOI: 10.1021/acs.jproteome.0c00443] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Significant advances in mass spectrometry imaging (MSI) have pushed the boundaries in obtaining spatial information and quantification in biological samples. Quantitative MSI (qMSI) has typically been challenging to achieve because of matrix and tissue heterogeneity, inefficient analyte extraction, and ion suppression effects, but recent studies have demonstrated approaches to obtain highly robust methods and reproducible results. In this perspective, we share our insights into sample preparation, how the choice of matrix influences sensitivity, construction of calibration curves, signal normalization, and visualization of MSI data. We hope that by articulating these guidelines that qMSI can be routinely conducted while retaining the analytical merits of other mass spectrometry modalities.
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57
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Alexandrov T. Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence. Annu Rev Biomed Data Sci 2020; 3:61-87. [PMID: 34056560 DOI: 10.1146/annurev-biodatasci-011420-031537] [Citation(s) in RCA: 107] [Impact Index Per Article: 26.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Spatial metabolomics is an emerging field of omics research that has enabled localizing metabolites, lipids, and drugs in tissue sections, a feat considered impossible just two decades ago. Spatial metabolomics and its enabling technology-imaging mass spectrometry-generate big hyper-spectral imaging data that have motivated the development of tailored computational methods at the intersection of computational metabolomics and image analysis. Experimental and computational developments have recently opened doors to applications of spatial metabolomics in life sciences and biomedicine. At the same time, these advances have coincided with a rapid evolution in machine learning, deep learning, and artificial intelligence, which are transforming our everyday life and promise to revolutionize biology and healthcare. Here, we introduce spatial metabolomics through the eyes of a computational scientist, review the outstanding challenges, provide a look into the future, and discuss opportunities granted by the ongoing convergence of human and artificial intelligence.
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Affiliation(s)
- Theodore Alexandrov
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, 69117 Heidelberg, Germany.,Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, California 92093, USA
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58
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Fu L, Zhang J, Si T. Recent advances in high-throughput mass spectrometry that accelerates enzyme engineering for biofuel research. ACTA ACUST UNITED AC 2020. [DOI: 10.1186/s42500-020-0011-8] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Abstract
AbstractEnzymes play indispensable roles in producing biofuels, a sustainable and renewable source of transportation fuels. Lacking rational design rules, the development of industrially relevant enzyme catalysts relies heavily on high-throughput screening. However, few universal methods exist to rapidly characterize large-scale enzyme libraries. Therefore, assay development is necessary on an ad hoc basis to link enzyme properties to spectrophotometric signals and often requires the use of surrogate, optically active substrates. On the other hand, mass spectrometry (MS) performs label-free enzyme assays that utilize native substrates and is therefore generally applicable. But the analytical speed of MS is considered rate limiting, mainly due to the use of time-consuming chromatographic separation in traditional MS analysis. Thanks to new instrumentation and sample preparation methods, direct analyte introduction into a mass spectrometer without a prior chromatographic step can be achieved by laser, microfluidics, and acoustics, so that each sample can be analyzed within seconds. Here we review recent advances in MS platforms that improve the throughput of enzyme library screening and discuss how these advances can potentially facilitate biofuel research by providing high sensitivity, selectivity and quantitation that are difficult to obtain using traditional assays. We also highlight the limitations of current MS assays in studying biofuel-related enzymes and propose possible solutions.
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59
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Morosi L, Matteo C, Ceruti T, Giordano S, Ponzo M, Frapolli R, Zucchetti M, Davoli E, D'Incalci M, Ubezio P. Quantitative determination of niraparib and olaparib tumor distribution by mass spectrometry imaging. Int J Biol Sci 2020; 16:1363-1375. [PMID: 32210725 PMCID: PMC7085221 DOI: 10.7150/ijbs.41395] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 01/18/2020] [Indexed: 12/15/2022] Open
Abstract
Rationale: Optimal intratumor distribution of an anticancer drug is fundamental to reach an active concentration in neoplastic cells, ensuring the therapeutic effect. Determination of drug concentration in tumor homogenates by LC-MS/MS gives important information about this issue but the spatial information gets lost. Targeted mass spectrometry imaging (MSI) has great potential to visualize drug distribution in the different areas of tumor sections, with good spatial resolution and superior specificity. MSI is rapidly evolving as a quantitative technique to measure the absolute drug concentration in each single pixel. Methods: Different inorganic nanoparticles were tested as matrices to visualize the PARP inhibitors (PARPi) niraparib and olaparib. Normalization by deuterated internal standard and a custom preprocessing pipeline were applied to achieve a reliable single pixel quantification of the two drugs in human ovarian tumors from treated mice. Results: A quantitative method to visualize niraparib and olaparib in tumor tissue of treated mice was set up and validated regarding precision, accuracy, linearity, repeatability and limit of detection. The different tumor penetration of the two drugs was visualized by MSI and confirmed by LC-MS/MS, indicating the homogeneous distribution and higher tumor exposure reached by niraparib compared to olaparib. On the other hand, niraparib distribution was heterogeneous in an ovarian tumor model overexpressing the multidrug resistance protein P-gp, a possible cause of resistance to PARPi. Conclusions: The current work highlights for the first time quantitative distribution of PAPRi in tumor tissue. The different tumor distribution of niraparib and olaparib could have important clinical implications. These data confirm the validity of MSI for spatial quantitative measurement of drug distribution providing fundamental information for pharmacokinetic studies, drug discovery and the study of resistance mechanisms.
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Affiliation(s)
- Lavinia Morosi
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Cristina Matteo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Tommaso Ceruti
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Silvia Giordano
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Laboratory of Mass Spectrometry
| | - Marianna Ponzo
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Roberta Frapolli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Massimo Zucchetti
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Enrico Davoli
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Laboratory of Mass Spectrometry
| | - Maurizio D'Incalci
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
| | - Paolo Ubezio
- Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Department of Oncology
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60
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Quantification and assessment of detection capability in imaging mass spectrometry using a revised mimetic tissue model. Bioanalysis 2019; 11:1099-1116. [PMID: 31251106 DOI: 10.4155/bio-2019-0035] [Citation(s) in RCA: 35] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022] Open
Abstract
Aim: A revised method of preparing the mimetic tissue model for quantitative imaging mass spectrometry (IMS) is evaluated. Concepts of assessing detection capability are adapted from other imaging or mass spectrometry (MS)-based technologies to improve upon the reliability of IMS quantification. Materials & methods: The mimetic tissue model is prepared by serially freezing spiked-tissue homogenates into a cylindrical mold to create a plug of tissue with a stepped concentration gradient of matrix-matched standards. Weighted least squares (WLS) linear regression is applied due to the heteroscedastisity (change in variance with intensity) of most MS data. Results & conclusions: Imaging poses several caveats for quantification which are unique compared with other MS-based methods. Aspects of the design, construction, application, and evaluation of the matrix-matched standard curve for the mimetic tissue model are discussed. In addition, the criticality of the ion distribution in the design of a purposeful liquid chromatography coupled to mass spectrometry (LC-MS) validation is reviewed.
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61
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Havlikova J, Randall EC, Griffiths RL, Swales JG, Goodwin RJA, Bunch J, Styles IB, Cooper HJ. Quantitative Imaging of Proteins in Tissue by Stable Isotope Labeled Mimetic Liquid Extraction Surface Analysis Mass Spectrometry. Anal Chem 2019; 91:14198-14202. [PMID: 31660728 PMCID: PMC7007001 DOI: 10.1021/acs.analchem.9b04148] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
![]()
Absolute
quantification of proteins in tissue is important for
numerous fields of study. Liquid chromatography–mass spectrometry
(LC–MS) methods are the norm but typically involve lengthy
sample preparation including tissue homogenization, which results
in the loss of information relating to spatial distribution. Here,
we propose liquid extraction surface analysis (LESA) mass spectrometry
(MS) of stable isotope labeled mimetic tissue models for the spatially
resolved quantification of intact ubiquitin in rat and mouse brain
tissue. Measured ubiquitin concentrations are in agreement with values
found in the literature. Images of rat and mouse brain tissue demonstrate
spatial variation in the concentration of ubiquitin and demonstrate
the utility of spatially resolved quantitative measurement of proteins
in tissue. Although we have focused on ubiquitin, the method has the
potential for broader application to the absolute quantitation of
any endogenous protein or protein-based drug in tissue.
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Affiliation(s)
- Jana Havlikova
- EPSRC Centre for Doctoral Training in Physical Sciences for Health , University of Birmingham , Birmingham B15 2TT , U.K.,School of Biosciences , University of Birmingham , Birmingham B15 2TT , U.K
| | - Elizabeth C Randall
- School of Biosciences , University of Birmingham , Birmingham B15 2TT , U.K.,EPSRC Centre for Doctoral Training in Physical Sciences of Imaging in Biomedical Sciences , University of Birmingham , Birmingham B15 2TT , U.K
| | - Rian L Griffiths
- School of Pharmacy , University of Nottingham , Nottingham NG7 2RD , U.K
| | - John G Swales
- Pathology, Clinical Pharmacology & Safety Sciences, BioPharmaceuticals R&D , AstraZeneca , Cambridge CB4 0WG , U.K
| | - Richard J A Goodwin
- Pathology, Clinical Pharmacology & Safety Sciences, BioPharmaceuticals R&D , AstraZeneca , Cambridge CB4 0WG , U.K
| | | | - Iain B Styles
- EPSRC Centre for Doctoral Training in Physical Sciences for Health , University of Birmingham , Birmingham B15 2TT , U.K.,School of Computer Science , University of Birmingham , Birmingham B15 2TT , U.K
| | - Helen J Cooper
- School of Biosciences , University of Birmingham , Birmingham B15 2TT , U.K
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62
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Wehrli PM, Michno W, Blennow K, Zetterberg H, Hanrieder J. Chemometric Strategies for Sensitive Annotation and Validation of Anatomical Regions of Interest in Complex Imaging Mass Spectrometry Data. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:2278-2288. [PMID: 31529404 PMCID: PMC6828630 DOI: 10.1007/s13361-019-02327-y] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/08/2019] [Revised: 06/12/2019] [Accepted: 08/10/2019] [Indexed: 05/04/2023]
Abstract
Imaging mass spectrometry (IMS) is a promising new chemical imaging modality that generates a large body of complex imaging data, which in turn can be approached using multivariate analysis approaches for image analysis and segmentation. Processing IMS raw data is critically important for proper data interpretation and has significant effects on the outcome of data analysis, in particular statistical modeling. Commonly, data processing methods are chosen based on rational motivations rather than comparative metrics, though no quantitative measures to assess and compare processing options have been suggested. We here present a data processing and analysis pipeline for IMS data interrogation, processing and ROI annotation, segmentation, and validation. This workflow includes (1) objective evaluation of processing methods for IMS datasets based on multivariate analysis using PCA. This was then followed by (2) ROI annotation and classification through region-based active contours (AC) segmentation based on the PCA component scores matrix. This provided class information for subsequent (3) OPLS-DA modeling to evaluate IMS data processing based on the quality metrics of their respective multivariate models and for robust quantification of ROI-specific signal localization. This workflow provides an unbiased strategy for sensitive annotation of anatomical regions of interest combined with quantitative comparison of processing procedures for multivariate analysis allowing robust ROI annotation and quantification of the associated molecular histology.
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Affiliation(s)
- Patrick M Wehrli
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - Wojciech Michno
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, Queen Square Instritute of Neurology, University College London, London, UK
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden.
- Department of Neurodegenerative Disease, Queen Square Instritute of Neurology, University College London, London, UK.
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63
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Machálková M, Pavlatovská B, Michálek J, Pruška A, Štěpka K, Nečasová T, Radaszkiewicz KA, Kozubek M, Šmarda J, Preisler J, Navrátilová J. Drug Penetration Analysis in 3D Cell Cultures Using Fiducial-Based Semiautomatic Coregistration of MALDI MSI and Immunofluorescence Images. Anal Chem 2019; 91:13475-13484. [DOI: 10.1021/acs.analchem.9b02462] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Markéta Machálková
- Department of Chemistry, Faculty of Science and Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Barbora Pavlatovská
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Adam Pruška
- Department of Chemistry, Faculty of Science and Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Karel Štěpka
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Tereza Nečasová
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Katarzyna Anna Radaszkiewicz
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Jan Šmarda
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Jan Preisler
- Department of Chemistry, Faculty of Science and Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Jarmila Navrátilová
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
- Center for Biological and Cellular Engineering, International Clinical Research Center, St. Anne’s University Hospital, Pekařská 53, 656 91 Brno, Czech Republic
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64
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Ivanova B, Spiteller M. Stochastic dynamic electrospray ionization mass spectrometric diffusion parameters and 3D structural determination of complexes of AgI–ion – Experimental and theoretical treatment. J Mol Liq 2019. [DOI: 10.1016/j.molliq.2019.111307] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/24/2023]
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65
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Heikkinen EM, Auriola S, Ranta VP, Demarais NJ, Grey AC, Del Amo EM, Toropainen E, Vellonen KS, Urtti A, Ruponen M. Distribution of Small Molecular Weight Drugs into the Porcine Lens: Studies on Imaging Mass Spectrometry, Partition Coefficients, and Implications in Ocular Pharmacokinetics. Mol Pharm 2019; 16:3968-3976. [PMID: 31348666 PMCID: PMC6748671 DOI: 10.1021/acs.molpharmaceut.9b00585] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
Lens is the avascular tissue in the eye between the aqueous humor and vitreous. Drug binding to the lens might affect ocular pharmacokinetics, and the binding may also have a pharmacological role in drug-induced cataract and cataract treatment. Drug distribution in the lens has been studied in vitro with many compounds; however, the experimental methods vary, no detailed information on distribution between the lens sublayers exist, and the partition coefficients are reported rarely. Therefore, our objectives were to clarify drug localization in the lens layers and establish partition coefficients for a wide range of molecules. Furthermore, we aimed to illustrate the effect of lenticular drug binding on overall ocular drug pharmacokinetics. We studied the distribution of 16 drugs and three fluorescent dyes in whole porcine lenses in vitro with imaging mass spectrometry and fluorescence microscopy techniques. Furthermore, we determined lens/buffer partition coefficients with the same experimental setup for 28 drugs with mass spectrometry. Finally, the effect of lenticular binding of drugs on aqueous humor drug exposure was explored with pharmacokinetic simulations. After 4 h, the drugs and the dyes distributed only to the outermost lens layers (capsule and cortex). The lens/buffer partition coefficients for the drugs were low, ranging from 0.05 to 0.8. On the basis of the pharmacokinetic simulations, a high lens-aqueous humor partition coefficient increases drug exposure in the lens but does not significantly alter the pharmacokinetics in the aqueous humor. To conclude, the lens seems to act mainly as a physical barrier for drug distribution in the eye, and drug binding to the lens affects mainly the drug pharmacokinetics in the lens.
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Affiliation(s)
| | | | | | - Nicholas J Demarais
- School of Biological Sciences , University of Auckland , Private Bag 92019 , Auckland 1142 , New Zealand
| | - Angus C Grey
- University of Auckland , School of Medical Sciences, Department of Physiology , Private Bag 92019 , Auckland 1142 , New Zealand
| | - Eva M Del Amo
- School of Health Sciences, Division of Pharmacy & Optometry , University of Manchester , Oxford Road , Manchester M13 9PL , U.K
| | | | | | - Arto Urtti
- Faculty of Pharmacy, Division of Pharmaceutical Biosciences , University of Helsinki , Viikinkaari, Helsinki 00014 , Finland.,Institute of Chemistry , Saint Petersburg State University , 26 Universitetskii Prospect , Saint Petersburg 198504 , Russia
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66
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Applications of MALDI mass spectrometry imaging for pharmacokinetic studies during drug development. Drug Metab Pharmacokinet 2019; 34:209-216. [DOI: 10.1016/j.dmpk.2019.04.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 04/14/2019] [Accepted: 04/19/2019] [Indexed: 12/23/2022]
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67
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Quantitative Mass Spectrometry Imaging Reveals Mutation Status-independent Lack of Imatinib in Liver Metastases of Gastrointestinal Stromal Tumors. Sci Rep 2019; 9:10698. [PMID: 31337874 PMCID: PMC6650609 DOI: 10.1038/s41598-019-47089-5] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2019] [Accepted: 07/09/2019] [Indexed: 01/08/2023] Open
Abstract
Mass spectrometry imaging (MSI) is an enabling technology for label-free drug disposition studies at high spatial resolution in life science- and pharmaceutical research. We present the first extensive clinical matrix-assisted laser desorption/ionization (MALDI) quantitative mass spectrometry imaging (qMSI) study of drug uptake and distribution in clinical specimen, analyzing 56 specimens of tumor and corresponding non-tumor tissues from 27 imatinib-treated patients with the biopsy-proven rare disease gastrointestinal stromal tumors (GIST). For validation, we compared MALDI-TOF-qMSI with conventional UPLC-ESI-QTOF-MS-based quantification from tissue extracts and with ultra-high resolution MALDI-FTICR-qMSI. We introduced a novel generalized nonlinear calibration model of drug quantities based on computational evaluation of drug-containing areas that enabled better data fitting and assessment of the inherent method nonlinearities. Imatinib tissue spatial maps revealed striking inefficiency in drug penetration into GIST liver metastases even though the corresponding healthy liver tissues in the vicinity showed abundant imatinib levels beyond the limit of quantification (LOQ), thus providing evidence for secondary drug resistance independent of mutation status. Taken together, these findings underscore the important application of MALDI-qMSI in studying the spatial distribution of molecularly targeted therapeutics in oncology, namely to serve as orthogonal post-surgical approach to evaluate the contribution of anticancer drug disposition to resistance against treatment.
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68
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Ahmed M, Broeckx G, Baggerman G, Schildermans K, Pauwels P, Van Craenenbroeck AH, Dendooven A. Next-generation protein analysis in the pathology department. J Clin Pathol 2019; 73:1-6. [DOI: 10.1136/jclinpath-2019-205864] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 06/12/2019] [Accepted: 06/20/2019] [Indexed: 02/06/2023]
Abstract
Traditionally, immunohistochemistry (IHC) is used by pathologists to localise specific proteins or peptides in tissue slides. In the era of personalised medicine, however, molecular tissue analysis becomes indispensable for correct diagnosis, prognosis and therapeutic decision, not only on the DNA or mRNA level but also on the protein level. Combining molecular information with imaging presents many advantages. Therefore, matrix-assisted laser desorption/ionisation imaging mass spectrometry (MALDI IMS) is a promising technique to be added to the armamentarium of the pathologist. Here, we focus on the workflow, advantages and drawbacks of both MALDI IMS and IHC. We also briefly discuss a few other protein imaging modalities and give examples of applications.
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69
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Systematic evaluation of repeatability of IR-MALDESI-MS and normalization strategies for correcting the analytical variation and improving image quality. Anal Bioanal Chem 2019; 411:5729-5743. [PMID: 31240357 DOI: 10.1007/s00216-019-01953-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/21/2019] [Accepted: 05/28/2019] [Indexed: 12/20/2022]
Abstract
Mass spectrometry imaging is a powerful tool widely used in biological, clinical, and forensic research, but its often poor repeatability limits its application for quantitative and large-scale analysis. A systematic evaluation of infrared matrix-assisted laser desorption electrospray ionization mass spectrometry (IR-MALDESI-MS) repeatability in absolute ion abundances during short- and long-term experiments was carried out on liver slices from the same rat with minimal biological variability to be expected. Results of median %RSDs ranging from 14 to 45, pooled %RMADs ranging from 11 to 33, and Pearson correlation coefficients ranging from 0.83 to 1.00 demonstrated an acceptable repeatability of IR-MALDESI-MS. Normalization is commonly applied for the purpose of accounting for analytical variability of spectra generated from different runs so as to reveal real biological differences. Nine data normalization strategies were performed on the rat liver data sets to examine their effects on reducing analytical variation, and further on a hen ovary data set containing more morphological features for the investigation of their impact on ion images. Results demonstrated that the majority of normalization approaches benefit data quality to some extent, and local normalization methods significantly outperform their global counterparts, resulting in a reduction of median %RSD up to 22. Local median normalization was found to be promisingly robust for both homogeneous and heterogeneous samples.
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70
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Hanley L, Wickramasinghe R, Yung YP. Laser Desorption Combined with Laser Postionization for Mass Spectrometry. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2019; 12:225-245. [PMID: 30786215 DOI: 10.1146/annurev-anchem-061318-115447] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Lasers with pulse lengths from nanoseconds to femtoseconds and wavelengths from the mid-infrared to extreme ultraviolet (UV) have been used for desorption or ablation in mass spectrometry. Such laser sampling can often benefit from the addition of a second laser for postionization of neutrals. The advantages offered by laser postionization include the ability to forego matrix application, high lateral resolution, decoupling of ionization from desorption, improved analysis of electrically insulating samples, and potential for high sensitivity and depth profiling while minimizing differential detection. A description of postionization by vacuum UV radiation is followed by a consideration of multiphoton, short pulse, and other postionization strategies. The impacts of laser pulse length and wavelength are considered for laser desorption or laser ablation at low pressures. Atomic and molecular analysis via direct laser desorption/ionization using near-infrared ultrashort pulses is described. Finally, the postionization of clusters, the role of gaseous collisions, sampling at ambient pressure, atmospheric pressure photoionization, and the addition of UV postionization to MALDI are considered.
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Affiliation(s)
- Luke Hanley
- Department of Chemistry, University of Illinois at Chicago, Chicago, Illinois 60607, USA;
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71
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Yang S, Mu L, Feng R, Kong X. Selection of Internal Standards for Quantitative Matrix-Assisted Laser Desorption/Ionization Mass Spectrometric Analysis Based on Correlation Coefficients. ACS OMEGA 2019; 4:8249-8254. [PMID: 31459912 PMCID: PMC6648383 DOI: 10.1021/acsomega.9b00566] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Accepted: 04/25/2019] [Indexed: 06/10/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry (MALDI MS) has shown its great success in the qualitative analysis of a wide range of organic and biological molecules. However, its application in quantitative analysis is still limited by the difficulty in the availability of isotope-labeled internal standards. The present work investigates the relationship between the correlation coefficient of the peak intensities of analyte and candidate internal standard ions and the linearity of possible quantitative analysis. Based on the two analyte examples, ciprofloxacin and substance P, the results show that the performance of the selected nonisotope-labeled internal standard is greatly related to the correlation coefficient. A high positive correlation coefficient (>0.7) between the ions of analyte and candidate standard can result in a good linearity (R 2 > 0.98) and vice versa. The results provide a new way to select nonisotope-labeled internal standards for MALDI analysis and thus can be potentially applied in the rapid quantitative mass spectrometry.
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Affiliation(s)
- Shumei Yang
- The State Key Laboratory of Elemento-Organic Chemistry, Collage of
Chemistry and Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, P. R. China
| | - Lei Mu
- The State Key Laboratory of Elemento-Organic Chemistry, Collage of
Chemistry and Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, P. R. China
| | - Ruxia Feng
- The State Key Laboratory of Elemento-Organic Chemistry, Collage of
Chemistry and Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, P. R. China
| | - Xianglei Kong
- The State Key Laboratory of Elemento-Organic Chemistry, Collage of
Chemistry and Collaborative Innovation Center of Chemical Science and Engineering, Nankai University, Tianjin 300071, P. R. China
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72
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Barry JA, Ait-Belkacem R, Hardesty WM, Benakli L, Andonian C, Licea-Perez H, Stauber J, Castellino S. Multicenter Validation Study of Quantitative Imaging Mass Spectrometry. Anal Chem 2019; 91:6266-6274. [PMID: 30938516 DOI: 10.1021/acs.analchem.9b01016] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
The aim of this study was to assess potential sources of variability in quantitative imaging mass spectrometry (IMS) across multiple sites, analysts, and instruments. A sample from rat liver perfused with clozapine was distributed to three sites for analysis by three analysts using a predefined protocol to standardize the sample preparation, acquisition, and data analysis parameters. In addition, two commonly used approaches to IMS quantification, the mimetic tissue model and dilution series, were used to quantify clozapine and its major metabolite norclozapine in isolated perfused rat liver. The quantification was evaluated in terms of precision and accuracy with comparison to liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS). The results of this study showed that, across three analysts with six replicates each, both quantitative IMS methods achieved relative standard deviations in the low teens and accuracies of around 80% compared to LC-MS/MS quantification of adjacent tissue sections. The utility of a homogeneously coated stable-isotopically labeled standard (SIL) for normalization was appraised in terms of its potential to improve precision and accuracy of quantification as well as qualitatively reduce variability in the sample tissue images. SIL normalization had a larger influence on the dilution series, where the use of the internal standard was necessary to achieve accuracy and precision comparable to the non-normalized mimetic tissue model data. Normalization to the internal standard appeared most effective when the intensity ratio of the analyte to internal standard was approximately one, and thus precludes this method as a universal normalization approach for all ions in the acquisition.
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Affiliation(s)
- Jeremy A Barry
- Bioimaging , GlaxoSmithKline , 1250 S. Collegeville Road , Collegeville , Pennsylvania 19426 , United States
| | - Rima Ait-Belkacem
- Imabiotech SAS, Parc Eurasanté , 152 rue du Docteur Yersin , 59120 Loos , France
| | - William M Hardesty
- Bioimaging , GlaxoSmithKline , 1250 S. Collegeville Road , Collegeville , Pennsylvania 19426 , United States
| | - Lydia Benakli
- Imabiotech SAS, Parc Eurasanté , 152 rue du Docteur Yersin , 59120 Loos , France
| | - Clara Andonian
- Bioanalysis , GlaxoSmithKline , 1250 S. Collegeville Road , Collegeville , Pennsylvania 19426 , United States
| | - Hermes Licea-Perez
- Bioanalysis , GlaxoSmithKline , 1250 S. Collegeville Road , Collegeville , Pennsylvania 19426 , United States
| | - Jonathan Stauber
- Imabiotech SAS, Parc Eurasanté , 152 rue du Docteur Yersin , 59120 Loos , France.,Imabiotech Corp , 44 Manning Rd , Billerica , Massachusetts 01821 , United States
| | - Stephen Castellino
- Bioimaging , GlaxoSmithKline , 1250 S. Collegeville Road , Collegeville , Pennsylvania 19426 , United States
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73
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Feng J, Zhang X, Huang L, Yao H, Yang C, Ma X, Zhang S, Zhang X. Quantitation of Glucose-phosphate in Single Cells by Microwell-Based Nanoliter Droplet Microextraction and Mass Spectrometry. Anal Chem 2019; 91:5613-5620. [DOI: 10.1021/acs.analchem.8b05226] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Jiaxin Feng
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Xiaochao Zhang
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Liang Huang
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Huan Yao
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Chengdui Yang
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Xiaoxiao Ma
- Department of Precision Instrument, Tsinghua University, Beijing 100084, China
| | - Sichun Zhang
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Xinrong Zhang
- Department of Chemistry, Tsinghua University, Beijing 100084, China
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74
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Piotrowski M, Malys B, Owens KG. A Method for Defining the Position of Ion Formation in a MALDI TOFMS by Analysis of the Laser Image on the Sample Surface. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2019; 30:489-500. [PMID: 30552568 DOI: 10.1007/s13361-018-2107-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2018] [Revised: 10/24/2018] [Accepted: 10/29/2018] [Indexed: 06/09/2023]
Abstract
A method is developed to determine the position of ion formation along the flight axis of a MALDI TOFMS instrument using the image of the laser on the sample surface. Previous work (JASMS 2018, 29, 422-434) showed that misalignment of the sample stage in a Bruker Autoflex III MALDI TOFMS as well as multiple insertions/mountings of the target plate and differences in target plate shape itself produced reproducible changes in the measured ion time-of-flight which could be attributed to changes in the position of ion formation along the instrument flight axis. Here, a small but reproducible change in the position of the laser in the sample-viewing camera image was observed, with the movement depending on both the sample position and target plate used. Using the change in coordinates of the laser position in the camera image and the known angle of incidence of the laser on the sample surface, the initial z-axis position of the ion at different locations on the plate can be calculated, exactly defining changes in the ion flight path length and the distance between the sample plate and first extraction plate/grid with sample position on the target plate. A correction method is developed to correct the time-of-flight values collected from different locations on the sample plate using the laser images, with the relative standard deviation (RSD) being reduced from 23 ppm to below 6 ppm. The laser images, along with the measured target plate heights, are also used to calculate the misalignment of the sample stage. Graphical Abstract.
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Affiliation(s)
- Michelle Piotrowski
- Department of Chemistry, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA
| | - Brian Malys
- Department of Chemistry, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA
| | - Kevin G Owens
- Department of Chemistry, Drexel University, 3141 Chestnut Street, Philadelphia, PA, 19104-2875, USA.
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75
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Garikapati V, Karnati S, Bhandari DR, Baumgart-Vogt E, Spengler B. High-resolution atmospheric-pressure MALDI mass spectrometry imaging workflow for lipidomic analysis of late fetal mouse lungs. Sci Rep 2019; 9:3192. [PMID: 30816198 PMCID: PMC6395778 DOI: 10.1038/s41598-019-39452-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Accepted: 01/17/2019] [Indexed: 12/19/2022] Open
Abstract
Mass spectrometry imaging (MSI) provides label-free, non-targeted molecular and spatial information of the biomolecules within tissue. Lipids play important roles in lung biology, e.g. as surfactant, preventing alveolar collapse during normal and forced respiration. Lipidomic characterization of late fetal mouse lungs at day 19 of gestation (E19) has not been performed yet. In this study we employed high-resolution atmospheric pressure scanning microprobe matrix-assisted laser desorption/ionization MSI for the lipidomic analysis of E19 mouse lungs. Molecular species of different lipid classes were imaged in E19 lung sections at high spatial and mass resolution in positive- and negative-ion mode. Lipid species were characterized based on accurate mass and on-tissue tandem mass spectrometry. In addition, a dedicated sample preparation protocol, homogenous deposition of matrices on tissue surfaces and data processing parameters were optimized for the comparison of signal intensities of lipids between different tissue sections of E19 lungs of wild type and Pex11β-knockout mice. Our study provides lipid information of E19 mouse lungs, optimized experimental and data processing strategies for the direct comparison of signal intensities of metabolites (lipids) among the tissue sections from MSI experiments. To best of our knowledge, this is the first MSI and lipidomic study of E19 mouse lungs.
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Affiliation(s)
- Vannuruswamy Garikapati
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Giessen, Germany.,Institute for Anatomy and Cell Biology II, Division of Medical Cell Biology, Justus Liebig University Giessen, Giessen, Germany
| | - Srikanth Karnati
- Institute for Anatomy and Cell Biology II, Division of Medical Cell Biology, Justus Liebig University Giessen, Giessen, Germany.,Institute for Anatomy and Cell Biology, Julius Maximilians University Würzburg, Würzburg, Germany
| | - Dhaka Ram Bhandari
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Giessen, Germany
| | - Eveline Baumgart-Vogt
- Institute for Anatomy and Cell Biology II, Division of Medical Cell Biology, Justus Liebig University Giessen, Giessen, Germany
| | - Bernhard Spengler
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Giessen, Germany.
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76
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Xu J, Zhang Z, Liu R, Sun Y, Liu H, Nie Z, Zhao X, Pu X. Function of complement factor H and imaging of small molecules by MALDI-MSI in a methamphetamine behavioral sensitization model. Behav Brain Res 2019; 364:233-244. [PMID: 30731099 DOI: 10.1016/j.bbr.2019.02.002] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2018] [Revised: 02/01/2019] [Accepted: 02/01/2019] [Indexed: 10/27/2022]
Abstract
BACKGROUND At present, the harm of new-type drug, methamphetamine (METH), has gradually exceeded that of the traditional opioid drugs, and METH abuse has become a serious public health and social problem. In our previous study, complement factor H (CFH) was found to be upregulated in the sera of METH-addicted patients and rats and in certain brain regions in the rats. METHODS We used ELISA and immunofluorescence to confirm the changes in CFH in the serum and hippocampus of a METH behavioral sensitization mouse model, and C1q expression was also detected by immunofluorescence in the hippocampus. We aimed to elucidate the involvement of CFH and C1q in the mechanism of METH addiction. We also detected the distribution of various small molecules by matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) in select brain regions: the nucleus accumbens, the hippocampus and the ventral tegmental area. RESULTS The expression of CFH was upregulated in the serum and hippocampus of METH behavioral sensitization model mice, consistent with our previous research on conditioned place preference rats. In contrast, C1q decreased dramatically in the mossy fibers of the hippocampus. The results of small-molecule imaging by MALDI-MSI showed that the levels of K+, antioxidants, neurotransmitters, and ATP metabolism-related molecules were altered in different regions. CONCLUSIONS These results indicate the involvement of the complement system in the mechanism of METH addiction and validate the presence of oxidative stress, energy metabolism changes during addiction. This suggests the utility of further investigation into the above aspects.
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Affiliation(s)
- Jiamin Xu
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Zhilin Zhang
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Runzhe Liu
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Yi Sun
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Huihui Liu
- Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry Chinese Academy of Sciences, Beijing 100190, China; Beijing National Laboratory for Molecular Sciences, Beijing 100190, China
| | - Zongxiu Nie
- Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry Chinese Academy of Sciences, Beijing 100190, China; Beijing National Laboratory for Molecular Sciences, Beijing 100190, China; Beijing Center for Mass Spectrometry, Beijing 100190, China
| | - Xin Zhao
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China
| | - Xiaoping Pu
- State Key Laboratory of Natural and Biomimetic Drugs, Peking University, Beijing 100191, China; Department of Molecular and Cellular Pharmacology, School of Pharmaceutical Sciences, Peking University, Beijing 100191, China.
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77
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Schulz S, Becker M, Groseclose MR, Schadt S, Hopf C. Advanced MALDI mass spectrometry imaging in pharmaceutical research and drug development. Curr Opin Biotechnol 2019; 55:51-59. [DOI: 10.1016/j.copbio.2018.08.003] [Citation(s) in RCA: 115] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 07/21/2018] [Accepted: 08/03/2018] [Indexed: 12/20/2022]
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78
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Rzagalinski I, Hainz N, Meier C, Tschernig T, Volmer DA. Spatial and molecular changes of mouse brain metabolism in response to immunomodulatory treatment with teriflunomide as visualized by MALDI-MSI. Anal Bioanal Chem 2018; 411:353-365. [PMID: 30417265 DOI: 10.1007/s00216-018-1444-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/05/2018] [Accepted: 10/22/2018] [Indexed: 12/30/2022]
Abstract
Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease of the central nervous system (CNS). One of the most promising recent medications for MS is teriflunomide. Its primary mechanism of action is linked to effects on the peripheral immune system by inhibiting dihydroorotate dehydrogenase (DHODH)-catalyzed de novo pyrimidine synthesis and reducing the expansion of lymphocytes in the peripheral immune system. Some in vitro studies suggested, however, that it can also have a direct effect on the CNS compartment. This potential alternative mode of action depends on the drug's capacity to traverse the blood-brain barrier (BBB) and to exert an effect on the complex network of brain biochemical pathways. In this paper, we demonstrate the application of high-resolution/high-accuracy matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry for molecular imaging of the mouse brain coronal sections from animals treated with teriflunomide. Specifically, in order to assess the effect of teriflunomide on the mouse CNS compartment, we investigated the feasibility of teriflunomide to traverse the BBB. Secondly, we systematically evaluated the spatial and semi-quantitative brain metabolic profiles of 24 different endogenous compounds after 4-day teriflunomide administration. Even though the drug was not detected in the examined cerebral sections (despite the high detection sensitivity of the developed method), in-depth study of the endogenous metabolic compartment revealed noticeable alterations as a result of teriflunomide administration compared to the control animals. The observed differences, particularly for purine and pyrimidine nucleotides as well as for glutathione and carbohydrate metabolism intermediates, shed some light on the potential impact of teriflunomide on the mouse brain metabolic networks. Graphical Abstract.
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Affiliation(s)
- Ignacy Rzagalinski
- Institute of Bioanalytical Chemistry, Saarland University, 66123, Saarbrücken, Germany
| | - Nadine Hainz
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Carola Meier
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Thomas Tschernig
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Dietrich A Volmer
- Department of Chemistry, Humboldt University of Berlin, 12489, Berlin, Germany.
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79
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Quantitative mapping of specific proteins in biological tissues by laser ablation-ICP-MS using exogenous labels: aspects to be considered. Anal Bioanal Chem 2018; 411:549-558. [PMID: 30310944 DOI: 10.1007/s00216-018-1411-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 09/17/2018] [Accepted: 09/27/2018] [Indexed: 12/21/2022]
Abstract
Laser ablation (LA) coupled with inductively coupled plasma mass spectrometry (ICP-MS) is a versatile tool for direct trace elemental and isotopic analysis of solids. The development of new strategies for quantitative elemental mapping of biological tissues is one of the growing research areas in LA-ICP-MS. On the other hand, the latest advances are related to obtaining not only the elemental distribution of heteroatoms but also molecular information. In this vein, mapping of specific proteins in biological tissues can be done with LA-ICP-MS by use of metal-labelled immunoprobes. However, although LA-ICP-MS is, in principle, a quantitative technique, critical requirements should be met for absolute quantification of protein distribution. In this review, progress based on the use of metal-labelled antibodies for LA-ICP-MS mapping of specific proteins is reported. Critical requirements to obtain absolute quantitative mapping of specific proteins by LA-ICP-MS are highlighted. Additionally, illustrative examples of the advances made so far with LA-ICP-MS are provided. Graphical abstract In the proposed critical review, last advances based on the use of metal-labelled antibodies and critical requirements for LA-ICP-MS quantitative mapping of specific proteins are tackled.
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80
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Rzagalinski I, Kovačević B, Hainz N, Meier C, Tschernig T, Volmer DA. Toward Higher Sensitivity in Quantitative MALDI Imaging Mass Spectrometry of CNS Drugs Using a Nonpolar Matrix. Anal Chem 2018; 90:12592-12600. [PMID: 30260620 DOI: 10.1021/acs.analchem.8b02740] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Tissue-specific ion suppression is an unavoidable matrix effect in MALDI mass spectrometry imaging (MALDI-MSI), the negative impact of which on precision and accuracy in quantitative MALDI-MSI can be reduced to some extent by applying isotope internal standards for normalization and matrix-matched calibration routines. The detection sensitivity still suffers, however, often resulting in significant loss of signal for the investigated analytes. An MSI application considerably affected by this phenomenon is the quantitative spatial analysis of central nervous system (CNS) drugs. Most of these drugs are low molecular weight, lipophilic compounds, which exhibit inefficient desorption and ionization during MALDI using conventional polar acidic matrices (CHCA, DHB). Here, we present the application of the (2-[(2 E)-3-(4- tert-butylphenyl)-2-methylprop-2-enylidene]malononitrile) matrix for high sensitivity imaging of CNS drugs in mouse brain sections. Since DCTB is usually described as an electron-transfer matrix, we provide a rationale (i.e., computational calculations of gas-phase proton affinity and ionization energy) for an additional proton-transfer ionization mechanism with this matrix. Furthermore, we compare the extent of signal suppression for five different CNS drugs when employing DCTB versus CHCA matrices. The results showed that the signal suppression was not only several times lower with DCTB than with CHCA but also depended on the specific tissue investigated. Finally, we present the application of DCTB and ultrahigh resolution Fourier transform ion cyclotron resonance mass spectrometry to quantitative MALDI imaging of the anesthetic drug xylazine in mouse brain sections based on a linear matrix-matched calibration curve. DCTB afforded up to 100-fold signal intensity improvement over CHCA when comparing representative single MSI pixels and >440-fold improvement for the averaged mass spectrum of the adjacent tissue sections.
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Affiliation(s)
- Ignacy Rzagalinski
- Institute of Bioanalytical Chemistry , Saarland University , 66123 Saarbrücken , Germany
| | - Borislav Kovačević
- Group for Computational Life Sciences , Ruđer Bošković Institute , 10000 Zagreb , Croatia
| | - Nadine Hainz
- Institute of Anatomy and Cell Biology , Saarland University , 66421 Homburg , Germany
| | - Carola Meier
- Institute of Anatomy and Cell Biology , Saarland University , 66421 Homburg , Germany
| | - Thomas Tschernig
- Institute of Anatomy and Cell Biology , Saarland University , 66421 Homburg , Germany
| | - Dietrich A Volmer
- Department of Chemistry , Humboldt University of Berlin , 12489 Berlin , Germany
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81
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Russo C, Brickelbank N, Duckett C, Mellor S, Rumbelow S, Clench MR. Quantitative Investigation of Terbinafine Hydrochloride Absorption into a Living Skin Equivalent Model by MALDI-MSI. Anal Chem 2018; 90:10031-10038. [PMID: 30024732 DOI: 10.1021/acs.analchem.8b02648] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The combination of microspotting of analytical and internal standards, matrix sublimation, and recently developed software for quantitative mass spectrometry imaging has been used to develop a high-resolution method for the determination of terbinafine hydrochloride in the epidermal region of a full thickness living skin equivalent model. A quantitative assessment of the effect of the addition of the penetration enhancer (dimethyl isosorbide (DMI)) to the delivery vehicle has also been performed, and data have been compared to those obtained from LC-MS/MS measurements of homogenates of isolated epidermal tissue. At 10% DMI, the levels of signal detected for the drug in the epidermis were 0.20 ± 0.072 mg/g tissue for QMSI and 0.28 ± 0.040 mg/g tissue for LC-MS/MS at 50% DMI 0.69 ± 0.23 mg/g tissue for QMSI and 0.66 ± 0.057 mg/g tissue for LC-MS/MS. Comparison of means and standard deviations indicates no significant difference between the values obtained by the two methods.
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Affiliation(s)
- Cristina Russo
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
| | - Neil Brickelbank
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
| | - Catherine Duckett
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
| | - Steve Mellor
- Croda International Plc , Cowick Hall , Snaith , Goole, East Yorkshire DN14 9AA , U.K
| | - Stephen Rumbelow
- Croda Inc. , 315 Cherry Lane New Castle , Delaware 19720 , United States
| | - Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
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82
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Imaging Mass Microscopy of Kidneys from Azithromycin-Treated Rats with Phospholipidosis. THE AMERICAN JOURNAL OF PATHOLOGY 2018; 188:1993-2003. [PMID: 29981744 DOI: 10.1016/j.ajpath.2018.05.018] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Revised: 05/11/2018] [Accepted: 05/29/2018] [Indexed: 11/23/2022]
Abstract
Drug-induced phospholipidosis is a lysosomal storage disorder characterized by the excess accumulation of tissue phospholipids. Although azithromycin can be used to induce phospholipidosis, no experimental studies evaluating the relationship between drug accumulation and phospholipid localization have been performed. In this study, azithromycin was orally administered to rats for 7 days, and the relationship between drug and phospholipid accumulation was performed using imaging mass microscopy. The administration of azithromycin induced tubular epithelial vacuolation in the inner stripe of the outer medulla of the kidney, consistent with the lamellar bodies that are typical manifestations of drug-induced phospholipidosis. Azithromycin and phospholipid tissue levels were extensively elevated in the kidneys of azithromycin-treated rats. Imaging mass microscopy revealed that both azithromycin and its metabolites were found in the kidneys of azithromycin-treated rats but not in control animals. The vacuolated areas of the kidneys were primarily found in the inner stripe of the outer medulla, consistent with the areas of high azithromycin concentration. Azithromycin was colocalized with several phospholipids-phosphatidylinositol (18:0/20:4), phosphatidylethanolamine (18:0/20:4 and 16:0/20:4), and possibly didocosahexaenoyl (C22:6)-bis(monoacylglycerol) phosphate, a putative biomarker of drug-induced phospholipidosis. In summary, we found correlations between regions of kidney damage and the accumulation of azithromycin, its metabolites, and phospholipids using imaging mass microscopy. Such analyses may help reveal the mechanism and identify putative biomarkers of drug-induced phospholipidosis.
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83
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Prideaux B, Lenaerts A, Dartois V. Imaging and spatially resolved quantification of drug distribution in tissues by mass spectrometry. Curr Opin Chem Biol 2018; 44:93-100. [PMID: 29957376 DOI: 10.1016/j.cbpa.2018.05.007] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 05/03/2018] [Indexed: 12/14/2022]
Abstract
Mass spectrometry imaging (MSI) is a powerful label-free technique for visualizing drug and metabolite distributions in biological tissues. In this review, we discuss recent developments in MSI and spatial profiling technologies to visualize and quantify drug distributions in tissues. We also present recent examples of applications of these technologies for assessing drug distribution within tissues and individual cells. Finally, we focus on an emerging technique coupling laser capture microdissection (LCM) to quantitative mass spectrometry, which combines the respective advantages of imaging and conventional liquid chromatography mass spectrometry, and thus enables spatially resolved drug quantification.
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Affiliation(s)
- Brendan Prideaux
- Public Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA.
| | - Anne Lenaerts
- Mycobacteria Research Laboratories, Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO 80523, USA
| | - Véronique Dartois
- Public Health Research Institute, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA; Department of Medicine, New Jersey Medical School, Rutgers, The State University of New Jersey, Newark, NJ, USA
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84
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Rzagalinski I, Hainz N, Meier C, Tschernig T, Volmer DA. MALDI Mass Spectral Imaging of Bile Acids Observed as Deprotonated Molecules and Proton-Bound Dimers from Mouse Liver Sections. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:711-722. [PMID: 29417494 PMCID: PMC5889423 DOI: 10.1007/s13361-017-1886-6] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 12/24/2017] [Accepted: 12/24/2017] [Indexed: 05/07/2023]
Abstract
Bile acids (BAs) play two vital roles in living organisms, as they are involved in (1) the secretion of cholesterol from liver, and (2) the lipid digestion/absorption in the intestine. Abnormal bile acid synthesis or secretion can lead to severe liver disorders. Even though there is extensive literature on the mass spectrometric determination of BAs in biofluids and tissue homogenates, there are no reports on the spatial distribution in the biliary network of the liver. Here, we demonstrate the application of high mass resolution/mass accuracy matrix-assisted laser desorption/ionization (MALDI)-Fourier-transform ion cyclotron resonance (FTICR) to MS imaging (MSI) of BAs at high spatial resolutions (pixel size, 25 μm). The results show chemical heterogeneity of the mouse liver sections with a number of branching biliary and blood ducts. In addition to ion signals from deprotonation of the BA molecules, MALDI-MSI generated several further intense signals at larger m/z for the BAs. These signals were spatially co-localized with the deprotonated molecules and easily misinterpreted as additional products of BA biotransformations. In-depth analysis of accurate mass shifts and additional electrospray ionization and MALDI-FTICR experiments, however, confirmed them as proton-bound dimers. Interestingly, dimers of bile acids, but also unusual mixed dimers of different taurine-conjugated bile acids and free taurine, were identified. Since formation of these complexes will negatively influence signal intensities of the desired [M - H]- ions and significantly complicate mass spectral interpretations, two simple broadband techniques were proposed for non-selective dissociation of dimers that lead to increased signals for the deprotonated BAs. Graphical Abstract ᅟ.
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Affiliation(s)
- Ignacy Rzagalinski
- Institute of Bioanalytical Chemistry, Saarland University, 66123, Saarbrücken, Germany
| | - Nadine Hainz
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Carola Meier
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Thomas Tschernig
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Dietrich A Volmer
- Institute of Bioanalytical Chemistry, Saarland University, 66123, Saarbrücken, Germany.
- Department of Chemistry, Humboldt University of Berlin, 12489, Berlin, Germany.
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85
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Nazari M, Bokhart MT, Loziuk PL, Muddiman DC. Quantitative mass spectrometry imaging of glutathione in healthy and cancerous hen ovarian tissue sections by infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI). Analyst 2018; 143:654-661. [PMID: 29323367 PMCID: PMC5788707 DOI: 10.1039/c7an01828b] [Citation(s) in RCA: 33] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
A quantitative mass spectrometry imaging (QMSI) method for absolute quantification of glutathione (GSH) in healthy and cancerous hen ovarian tissues using infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) is presented. Using this technique, the ion abundance of GSH was normalized to that of a structural analogue, which was sprayed on the slide prior to mounting the tissue sections. This normalization strategy significantly improved the voxel-to-voxel variability; the variability is attributed to the overall ionization process. Subsequently, a series of calibration spots of stable isotope-labeled (SIL) GSH were pipetted on top of the tissue to construct a spatial calibration curve, and calculate the concentration of GSH in both tissue sections. The QMSI results were verified by LC-MS/MS quantification of GSH for the same tissues. GSH was extracted from tissue sections in a slightly acidic buffer and was then alkylated using N-ethylmaleimide to minimize autoxidation of GSH to glutathione disulfide. The alkylated GSH was separated from other contaminants using reversed phase liquid chromatography (RPLC) coupled to a triple quadrupole mass spectrometer, and the z-ion transition of NEM-GSH was used to quantify GSH in each tissue section. While the absolute values obtained using IR-MALDESI QMSI and LC-MS/MS were different, a ∼2-fold increase in the concentration of GSH in cancer tissue compared to the healthy tissue was observed using both techniques. Possible reasons for the difference between absolute concentration values obtained using IR-MALDESI QMSI and LC-MS/MS are also discussed.
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Affiliation(s)
- Milad Nazari
- Department of Chemistry and Molecular Education, Technology, and Research Innovation Center (METRIC), North Carolina State University, Raleigh, NC 27695, USA.
| | - Mark T Bokhart
- Department of Chemistry and Molecular Education, Technology, and Research Innovation Center (METRIC), North Carolina State University, Raleigh, NC 27695, USA.
| | - Philip L Loziuk
- Department of Chemistry and Molecular Education, Technology, and Research Innovation Center (METRIC), North Carolina State University, Raleigh, NC 27695, USA.
| | - David C Muddiman
- Department of Chemistry and Molecular Education, Technology, and Research Innovation Center (METRIC), North Carolina State University, Raleigh, NC 27695, USA.
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86
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Distribution analysis of epertinib in brain metastasis of HER2-positive breast cancer by imaging mass spectrometry and prospect for antitumor activity. Sci Rep 2018; 8:343. [PMID: 29321587 PMCID: PMC5762859 DOI: 10.1038/s41598-017-18702-2] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2017] [Accepted: 12/15/2017] [Indexed: 12/13/2022] Open
Abstract
Epertinib (S-222611) is a potent, reversible, and selective tyrosine kinase inhibitor of epidermal growth factor receptor (EGFR), human EGFR2 (HER2), and human EGFR4. We developed experimental brain metastasis models by intraventricular injection (intraventricular injection mouse model; IVM) of HER2-positive breast cancer (MDA-MB-361-luc-BR2/BR3) or T790M-EGFR-positive lung cancer (NCI-H1975-luc) cells. After a single oral administration, epertinib and lapatinib concentrations in brain metastatic regions were analyzed by quantitative imaging mass spectrometry. In the NCI-H1975 lung cancer IVM, the concentration of epertinib in brain metastasis was comparable to that of lapatinib. However, in the MDA-MB-361 breast cancer IVM, the concentration of epertinib in brain metastasis was >10 times higher than that of lapatinib. Furthermore, the epertinib tumor-to-normal brain ratio was ~4 times higher than that of lapatinib. Blood-tumor barrier (BTB) permeability was assessed in each brain metastatic region. In the lung cancer model, fluorescently labeled dextran was more highly detected in brain metastatic regions than in brain parenchyma. However, in breast cancer models, dextran fluorescence intensity in brain metastatic regions and brain parenchyma were comparable, suggesting that the BTB remained largely intact. Epertinib would be promised as a therapeutic agent for HER2-positive breast cancer with brain metastasis.
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87
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Application of matrix-assisted laser desorption/ionization mass spectrometry imaging in combination with LC–MS in pharmacokinetic study of metformin. Bioanalysis 2018; 10:71-81. [DOI: 10.4155/bio-2017-0190] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Aim: To demonstrate and discuss the pros and cons of various conventional and innovative analytical approaches. Methodology & results: Matrix-assisted laser desorption/ionization mass spectrometry imaging (MSI) of tissue sections as well as the extraction of tissue homogenates, blood plasma and dried blood spots coupled with LC–MS were employed to monitor the pharmacokinetics of metformin in mice. The time profile of metformin measured by matrix-assisted laser desorption/ionization MSI correlated well with the results found by LC–MS. Repeatability of the preparation of tissue sections for MSI was very good. Conclusion: MSI provided valuable information on the spatial distribution and relative concentration of the analyte within tissue sections. The analysis of the extracts of tissue homogenates, blood plasma and blood spots provided quantitative data on metformin. The dried blood spot approach is a progressive method of sampling, especially in studies where the amount of available blood is limited.
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88
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89
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3D MALDI Mass Spectrometry Imaging of a Single Cell: Spatial Mapping of Lipids in the Embryonic Development of Zebrafish. Sci Rep 2017; 7:14946. [PMID: 29097697 PMCID: PMC5668422 DOI: 10.1038/s41598-017-14949-x] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2017] [Accepted: 10/18/2017] [Indexed: 12/11/2022] Open
Abstract
The zebrafish (Danio rerio) has been widely used as a model vertebrate system to study lipid metabolism, the roles of lipids in diseases, and lipid dynamics in embryonic development. Here, we applied high-spatial resolution matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry imaging (MSI) to map and visualize the three-dimensional spatial distribution of phospholipid classes, phosphatidylcholine (PC), phosphatidylethanolamines (PE), and phosphatidylinositol (PI), in newly fertilized individual zebrafish embryos. This is the first time MALDI-MSI has been applied for three dimensional chemical imaging of a single cell. PC molecular species are present inside the yolk in addition to the blastodisc, while PE and PI species are mostly absent in the yolk. Two-dimensional MSI was also studied for embryos at different cell stages (1-, 2-, 4-, 8-, and 16-cell stage) to investigate the localization changes of some lipids at various cell developmental stages. Four different normalization approaches were compared to find reliable relative quantification in 2D- and 3D- MALDI MSI data sets.
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90
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Crecelius AC, Hölscher D, Hoffmann T, Schneider B, Fischer TC, Hanke MV, Flachowsky H, Schwab W, Schubert US. Spatial and Temporal Localization of Flavonoid Metabolites in Strawberry Fruit (Fragaria × ananassa). JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2017; 65:3559-3568. [PMID: 28409937 DOI: 10.1021/acs.jafc.7b00584] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Flavonoids are important metabolites in strawberries (Fragaria × ananassa) because they accomplish an extensive collection of physiological functions and are valuable for human health. However, their localization within the fruit tissue has not been extensively explored. Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI-MSI) was employed to shed light on the spatial distribution of flavonoids during fruit development. One wild-type (WT) and two transgenic lines were compared, wherein the transgenic enzymes anthocyanidin reductase (ANRi) and flavonol synthase (FLSi), respectively, were down-regulated using an RNAi-based silencing approach. In most cases, fruit development led to a reduction of the investigated flavonoids in the fruit tissue; as a consequence, they were exclusively present in the skin of mature red fruits. In the case of (epi)catechin dimer, both the ANRi and the WT phenotypes revealed low levels in mature red fruits, whereas the ANRi line bore the lowest relative concentration, as analyzed by liquid chromatography-electrospray ionization multiple-step mass spectrometry (LC-ESI-MSn).
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Affiliation(s)
- Anna C Crecelius
- Laboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena , Humboldtstrasse 10, 07743 Jena, Germany
- Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena , Philosophenweg 7, 07743 Jena, Germany
| | - Dirk Hölscher
- Research Group Biosynthesis/NMR, Max Planck Institute for Chemical Ecology , Hans-Knöll-Strasse 8, 07745 Jena, Germany
- Organic Plant Production and Agroecosystems Research in the Tropics and Subtropics (OPATS), University of Kassel , Steinstrasse 19, 37213 Witzenhausen, Germany
| | - Thomas Hoffmann
- Biotechnology of Natural Products, Technical University Munich , Liesel-Beckmann-Strasse 1, 85354 Freising, Germany
| | - Bernd Schneider
- Research Group Biosynthesis/NMR, Max Planck Institute for Chemical Ecology , Hans-Knöll-Strasse 8, 07745 Jena, Germany
| | - Thilo C Fischer
- Biotechnology of Natural Products, Technical University Munich , Liesel-Beckmann-Strasse 1, 85354 Freising, Germany
| | - Magda-Viola Hanke
- Julius Kühn-Institute - Federal Research Centre for Cultivated Plants Institute for Breeding Research on Fruit Crops, Pillnitzer Platz 3a, 01326 Pillnitz, Germany
| | - Henryk Flachowsky
- Julius Kühn-Institute - Federal Research Centre for Cultivated Plants Institute for Breeding Research on Fruit Crops, Pillnitzer Platz 3a, 01326 Pillnitz, Germany
| | - Wilfried Schwab
- Biotechnology of Natural Products, Technical University Munich , Liesel-Beckmann-Strasse 1, 85354 Freising, Germany
| | - Ulrich S Schubert
- Laboratory of Organic and Macromolecular Chemistry (IOMC), Friedrich Schiller University Jena , Humboldtstrasse 10, 07743 Jena, Germany
- Jena Center for Soft Matter (JCSM), Friedrich Schiller University Jena , Philosophenweg 7, 07743 Jena, Germany
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91
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Colmegna B, Morosi L, D'Incalci M. Molecular and Pharmacological Mechanisms of Drug Resistance:An Evolving Paradigm. Handb Exp Pharmacol 2017; 249:1-12. [PMID: 28332049 DOI: 10.1007/164_2017_20] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
The high heterogeneity and genomic instability of malignant tumors explains why even responsive tumors contain cell clones that are resistant for many possible mechanisms involving intracellular drug inactivation, low uptake or high efflux of anticancer drugs from cancer cells, qualitative or quantitative changes in the drug target. Many tumors, however, are resistant because of insufficient exposure to anticancer drugs, due to pharmacokinetic reasons and inefficient and heterogeneous tumor drug distribution, related to a deficient vascularization and high interstitial pressure. Finally, resistance can be related to the activation of anti-apoptotic and cell survival pathways by cancer cells and often enhanced by tumor microenvironment.
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Affiliation(s)
- Benedetta Colmegna
- Department of Oncology, IRCCS 'Mario Negri', Institute for Pharmacological Research, 20145, Milan, Italy
| | - Lavinia Morosi
- Department of Oncology, IRCCS 'Mario Negri', Institute for Pharmacological Research, 20145, Milan, Italy
| | - Maurizio D'Incalci
- Department of Oncology, IRCCS 'Mario Negri', Institute for Pharmacological Research, 20145, Milan, Italy.
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