1
|
Bottomley H, Phillips J, Hart P. Improved Detection of Tryptic Peptides from Tissue Sections Using Desorption Electrospray Ionization Mass Spectrometry Imaging. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:922-934. [PMID: 38602416 PMCID: PMC11066963 DOI: 10.1021/jasms.4c00006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Revised: 03/08/2024] [Accepted: 03/29/2024] [Indexed: 04/12/2024]
Abstract
DESI-MSI is an ambient ionization technique used frequently for the detection of lipids, small molecules, and drug targets. Until recently, DESI had only limited use for the detection of proteins and peptides due to the setup and needs around deconvolution of data resulting in a small number of species being detected at lower spatial resolution. There are known differences in the ion species detected using DESI and MALDI for nonpeptide molecules, and here, we identify that this extends to proteomic species. DESI MS images were obtained for tissue sections of mouse and rat brain using a precommercial heated inlet (approximately 450 °C) to the mass spectrometer. Ion mobility separation resolved spectral overlap of peptide ions and significantly improved the detection of multiply charged species. The images acquired were of pixel size 100 μm (rat brain) and 50 μm (mouse brain), respectively. Observed tryptic peptides were filtered against proteomic target lists, generated by LC-MS, enabling tentative protein assignment for each peptide ion image. Precise localizations of peptide ions identified by DESI and MALDI were found to be comparable. Some spatially localized peptides ions were observed in DESI that were not found in the MALDI replicates, typically, multiply charged species with a low mass to charge ratio. This method demonstrates the potential of DESI-MSI to detect large numbers of tryptic peptides from tissue sections with enhanced spatial resolution when compared to previous DESI-MSI studies.
Collapse
Affiliation(s)
- Heather Bottomley
- Living
Systems Institute, Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4
4QD, U.K.
| | - Jonathan Phillips
- Living
Systems Institute, Department of Biosciences, University of Exeter, Stocker Road, Exeter EX4
4QD, U.K.
| | - Philippa Hart
- Medicines
Discovery Catapult, Alderley Park, Block 35, Mereside, Macclesfield SK10 4ZF, U.K.
| |
Collapse
|
2
|
Prentice BM. Imaging with mass spectrometry: Which ionization technique is best? JOURNAL OF MASS SPECTROMETRY : JMS 2024; 59:e5016. [PMID: 38625003 DOI: 10.1002/jms.5016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/07/2024] [Accepted: 02/21/2024] [Indexed: 04/17/2024]
Abstract
The use of mass spectrometry (MS) to acquire molecular images of biological tissues and other substrates has developed into an indispensable analytical tool over the past 25 years. Imaging mass spectrometry technologies are widely used today to study the in situ spatial distributions for a variety of analytes. Early MS images were acquired using secondary ion mass spectrometry and matrix-assisted laser desorption/ionization. Researchers have also designed and developed other ionization techniques in recent years to probe surfaces and generate MS images, including desorption electrospray ionization (DESI), nanoDESI, laser ablation electrospray ionization, and infrared matrix-assisted laser desorption electrospray ionization. Investigators now have a plethora of ionization techniques to select from when performing imaging mass spectrometry experiments. This brief perspective will highlight the utility and relative figures of merit of these techniques within the context of their use in imaging mass spectrometry.
Collapse
Affiliation(s)
- Boone M Prentice
- Department of Chemistry, University of Florida, Gainesville, Florida, USA
| |
Collapse
|
3
|
Weigand MR, Unsihuay Vila DM, Yang M, Hu H, Hernly E, Muhoberac M, Tichy S, Laskin J. Lipid Isobar and Isomer Imaging Using Nanospray Desorption Electrospray Ionization Combined with Triple Quadrupole Mass Spectrometry. Anal Chem 2024. [PMID: 38321595 DOI: 10.1021/acs.analchem.3c04705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Mass spectrometry imaging (MSI) is widely used for examining the spatial distributions of molecules in biological samples. Conventional MSI approaches, in which molecules extracted from the sample are distinguished based on their mass-to-charge ratio, cannot distinguish between isomeric species and some closely spaced isobars. To facilitate isobar separation, MSI is typically performed using high-resolution mass spectrometers. Nevertheless, the complexity of the mixture of biomolecules observed in each pixel of the image presents a challenge, even for modern mass spectrometers with the highest resolving power. Herein, we implement nanospray desorption electrospray ionization (nano-DESI) MSI on a triple quadrupole (QqQ) mass spectrometer for the spatial mapping of isobaric and isomeric species in biological tissues. We use multiple reaction monitoring acquisition mode (MRM) with unit mass resolution to demonstrate the performance of this new platform by imaging lipids in mouse brain and rat kidney tissues. We demonstrate that imaging in MRM mode may be used to distinguish between isobaric phospholipids requiring a mass resolving power of 3,800,000. Additionally, we have been able to image eicosanoid isomers, a largely unexplored class of signaling molecules present in tissues at low concentrations, in rat kidney tissue. This new capability substantially enhances the specificity and selectivity of MSI, enabling spatial localization of species that remain unresolved in conventional MSI experiments.
Collapse
Affiliation(s)
- Miranda R Weigand
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Daisy M Unsihuay Vila
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Manxi Yang
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Hang Hu
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Emerson Hernly
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Matthew Muhoberac
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Shane Tichy
- Agilent Technologies, 5301 Stevens Creek Blvd, Santa Clara, California 95051, United States
| | - Julia Laskin
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| |
Collapse
|
4
|
Lv Y, Zhao Z, Long Z, Yu C, Lu H, Wu Q. Lewis Acidic Metal-Organic Framework Assisted Ambient Liquid Extraction Mass Spectrometry Imaging for Enhancing the Coverage of Poorly Ionizable Lipids in Brain Tissue. Anal Chem 2024; 96:1073-1083. [PMID: 38206976 DOI: 10.1021/acs.analchem.3c03690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2024]
Abstract
The spatial distribution of lipidomes in tissues is of great importance in studies of living processes, diseases, and therapies. Mass spectrometry imaging (MSI) has become a critical technique for spatial lipidomics. However, MSI of low-abundance or poorly ionizable lipids is still challenging because of the ion suppression from high-abundance lipids. Here, a metal-organic framework (MOF) Zr6O4(OH)4(1,3,5-Tris(4-carboxyphenyl) benzene)2(triflate)6(Zr6OTf-BTB) was prepared and used for selective on-tissue adsorption of phospholipids to reduce ion suppression from them to poorly ionizable lipids. The results show that Zr6OTf-BTB with strong Lewis acidic sites and a large specific surface area (647.9 m2·g-1) could selectively adsorb phospholipids under 1% FA-MeOH. Adsorption efficiencies of phospholipids are 88.4-144.9 times higher than those of other neutral lipids. Moreover, the adsorption capacity and the adsorption kinetic rate constant of the new material to phospholipids are higher than those of Zr6-BTB (242.72 vs 73.96 mg·g-1, 0.0442 vs 0.0220 g·mg-1·min-1). A Zr6OTf-BTB sheet was prepared by a lamination technique for on-tissue phospholipid adsorption from brain tissue. Then, the tissue section on the Zr6OTf-BTB sheet was directly imaged via ambient liquid extraction-MSI with 1% FA-MeOH as the sampling solvent. The results showed that phospholipids could be 100% removed directly on tissue, and the detection coverage of the Zr6OTf-BTB-enhanced MSI method to ceramides (Cers) and hexosylceramides (HexCers) was increased by 5-26 times compared with direct tissue MSI (26 vs 1 and 17 vs 3). The new method provides an efficient and convenient way to eliminate the ion suppression from phospholipids in MSI, largely improving the detection coverage of low-abundance and poorly ionizable lipids.
Collapse
Affiliation(s)
- Yuanxia Lv
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, P. R. China
| | - Zhihao Zhao
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, P. R. China
| | - Zheng Long
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, P. R. China
| | - Chuanxiu Yu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, P. R. China
| | - Hongmei Lu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, P. R. China
| | - Qian Wu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan 410083, P. R. China
| |
Collapse
|
5
|
Rajbhandari P, Neelakantan TV, Hosny N, Stockwell BR. Spatial pharmacology using mass spectrometry imaging. Trends Pharmacol Sci 2024; 45:67-80. [PMID: 38103980 PMCID: PMC10842749 DOI: 10.1016/j.tips.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Revised: 11/07/2023] [Accepted: 11/11/2023] [Indexed: 12/19/2023]
Abstract
The emerging and powerful field of spatial pharmacology can map the spatial distribution of drugs and their metabolites, as well as their effects on endogenous biomolecules including metabolites, lipids, proteins, peptides, and glycans, without the need for labeling. This is enabled by mass spectrometry imaging (MSI) that provides previously inaccessible information in diverse phases of drug discovery and development. We provide a perspective on how MSI technologies and computational tools can be implemented to reveal quantitative spatial drug pharmacokinetics and toxicology, tissue subtyping, and associated biomarkers. We also highlight the emerging potential of comprehensive spatial pharmacology through integration of multimodal MSI data with other spatial technologies. Finally, we describe how to overcome challenges including improving reproducibility and compound annotation to generate robust conclusions that will improve drug discovery and development processes.
Collapse
Affiliation(s)
- Presha Rajbhandari
- Department of Biological Sciences, Columbia University, New York, NY, USA
| | | | - Noreen Hosny
- Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA; Department of Molecular Biology, Princeton University, Princeton, NJ, USA
| | - Brent R Stockwell
- Department of Biological Sciences, Columbia University, New York, NY, USA; Department of Chemistry, Columbia University, New York, NY, USA; Irving Institute for Cancer Dynamics, Columbia University, New York, NY, USA; Herbert Irving Comprehensive Cancer Center, Columbia University, New York, NY, USA; Department of Pathology and Cell Biology, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY, USA.
| |
Collapse
|
6
|
Jiang LX, Yang M, Wali SN, Laskin J. High-Throughput Mass Spectrometry Imaging of Biological Systems: Current Approaches and Future Directions. Trends Analyt Chem 2023; 163:117055. [PMID: 37206615 PMCID: PMC10191415 DOI: 10.1016/j.trac.2023.117055] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/21/2023]
Abstract
In the past two decades, the power of mass spectrometry imaging (MSI) for the label free spatial mapping of molecules in biological systems has been substantially enhanced by the development of approaches for imaging with high spatial resolution. With the increase in the spatial resolution, the experimental throughput has become a limiting factor for imaging of large samples with high spatial resolution and 3D imaging of tissues. Several experimental and computational approaches have been recently developed to enhance the throughput of MSI. In this critical review, we provide a succinct summary of the current approaches used to improve the throughput of MSI experiments. These approaches are focused on speeding up sampling, reducing the mass spectrometer acquisition time, and reducing the number of sampling locations. We discuss the rate-determining steps for different MSI methods and future directions in the development of high-throughput MSI techniques.
Collapse
Affiliation(s)
- Li-Xue Jiang
- Department of Chemistry, Purdue University, West Lafayette, Indiana, 47907, United States
| | - Manxi Yang
- Department of Chemistry, Purdue University, West Lafayette, Indiana, 47907, United States
| | - Syeda Nazifa Wali
- Department of Chemistry, Purdue University, West Lafayette, Indiana, 47907, United States
| | - Julia Laskin
- Department of Chemistry, Purdue University, West Lafayette, Indiana, 47907, United States
| |
Collapse
|
7
|
Dannhorn A, Doria ML, McKenzie J, Inglese P, Swales JG, Hamm G, Strittmatter N, Maglennon G, Ghaem-Maghami S, Goodwin RJA, Takats Z. Targeted Desorption Electrospray Ionization Mass Spectrometry Imaging for Drug Distribution, Toxicity, and Tissue Classification Studies. Metabolites 2023; 13:metabo13030377. [PMID: 36984817 PMCID: PMC10060000 DOI: 10.3390/metabo13030377] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 02/27/2023] [Accepted: 02/28/2023] [Indexed: 03/06/2023] Open
Abstract
With increased use of mass spectrometry imaging (MSI) in support of pharmaceutical research and development, there are opportunities to develop analytical pipelines that incorporate exploratory high-performance analysis with higher capacity and faster targeted MSI. Therefore, to enable faster MSI data acquisition we present analyte-targeted desorption electrospray ionization–mass spectrometry imaging (DESI-MSI) utilizing a triple-quadrupole (TQ) mass analyzer. The evaluated platform configuration provided superior sensitivity compared to a conventional time-of-flight (TOF) mass analyzer and thus holds the potential to generate data applicable to pharmaceutical research and development. The platform was successfully operated with sampling rates up to 10 scans/s, comparing positively to the 1 scan/s commonly used on comparable DESI-TOF setups. The higher scan rate enabled investigation of the desorption/ionization processes of endogenous lipid species such as phosphatidylcholines and a co-administered cassette of four orally dosed drugs—erlotininb, moxifloxacin, olanzapine, and terfenadine. This was used to enable understanding of the impact of the desorption/ionization processes in order to optimize the operational parameters, resulting in improved compound coverage for olanzapine and the main olanzapine metabolite, hydroxy-olanzapine, in brain tissue sections compared to DESI-TOF analysis or matrix-assisted laser desorption/ionization (MALDI) platforms. The approach allowed reducing the amount of recorded information, thus reducing the size of datasets from up to 150 GB per experiment down to several hundred MB. The improved performance was demonstrated in case studies investigating the suitability of this approach for mapping drug distribution, spatially resolved profiling of drug-induced nephrotoxicity, and molecular–histological tissue classification of ovarian tumors specimens.
Collapse
Affiliation(s)
- Andreas Dannhorn
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK
| | - Maria Luisa Doria
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - James McKenzie
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Paolo Inglese
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - John G. Swales
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK
| | - Gregory Hamm
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK
| | - Nicole Strittmatter
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK
| | - Gareth Maglennon
- Pathology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK
| | - Sadaf Ghaem-Maghami
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
| | - Richard J. A. Goodwin
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK
- Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, UK
| | - Zoltan Takats
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK
- Correspondence:
| |
Collapse
|
8
|
Soudah T, Zoabi A, Margulis K. Desorption electrospray ionization mass spectrometry imaging in discovery and development of novel therapies. MASS SPECTROMETRY REVIEWS 2023; 42:751-778. [PMID: 34642958 DOI: 10.1002/mas.21736] [Citation(s) in RCA: 17] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 09/16/2021] [Accepted: 09/21/2021] [Indexed: 06/13/2023]
Abstract
Desorption electrospray ionization mass spectrometry imaging (DESI-MSI) is one of the least specimen destructive ambient ionization mass spectrometry tissue imaging methods. It enables rapid simultaneous mapping, measurement, and identification of hundreds of molecules from an unmodified tissue sample. Over the years, since its first introduction as an imaging technique in 2005, DESI-MSI has been extensively developed as a tool for separating tissue regions of various histopathologic classes for diagnostic applications. Recently, DESI-MSI has also emerged as a versatile technique that enables drug discovery and can guide the efficient development of drug delivery systems. For example, it has been increasingly employed for uncovering unique patterns of in vivo drug distribution, the discovery of potentially treatable biochemical pathways, revealing novel druggable targets, predicting therapeutic sensitivity of diseased tissues, and identifying early tissue response to pharmacological treatment. These and other recent advances in implementing DESI-MSI as the tool for the development of novel therapies are highlighted in this review.
Collapse
Affiliation(s)
- Terese Soudah
- The Faculty of Medicine, The School of Pharmacy, The Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Amani Zoabi
- The Faculty of Medicine, The School of Pharmacy, The Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| | - Katherine Margulis
- The Faculty of Medicine, The School of Pharmacy, The Institute for Drug Research, The Hebrew University of Jerusalem, Jerusalem, Israel
| |
Collapse
|
9
|
Boronat Ena MDM, Cowan DA, Abbate V. Ambient ionization mass spectrometry applied to new psychoactive substance analysis. MASS SPECTROMETRY REVIEWS 2023; 42:3-34. [PMID: 34036620 DOI: 10.1002/mas.21695] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/05/2020] [Revised: 04/09/2021] [Accepted: 04/17/2021] [Indexed: 06/12/2023]
Abstract
In the past decade a plethora of drugs with similar effects to controlled psychoactive drugs, like cannabis, amfetamine (amphetamine), or lysergic acid diethylamide, have been synthesized. These drugs can collectively be classified under the term new psychoactive substances (NPS) and are used for recreational purposes. The novelty of the substances, alongside the rapid rate of emergence and structural variability, makes their detection as well as their legal control highly challenging, increasing the demand for rapid and easy-to-use analytical techniques for their detection and identification. Therefore, interest in ambient ionization mass spectrometry applied to NPS has grown in recent years, which is largely because it is relatively fast and simple to use and has a low operating cost. This review aims to provide a critique of the suitability of current ambient ionization techniques for the analysis of NPS in the forensic and clinical toxicology fields. Consideration is given to analytical performance and ease of implementation, including ionization efficiency, selectivity, sensitivity, quantification, analyte chemistry, molecular coverage, validation, and practicality.
Collapse
Affiliation(s)
- Maria Del Mar Boronat Ena
- Department of Analytical, Environmental and Forensic Sciences, King's College London, Faculty of Life Sciences & Medicine, London, UK
| | - David A Cowan
- Department of Analytical, Environmental and Forensic Sciences, King's College London, Faculty of Life Sciences & Medicine, London, UK
| | - Vincenzo Abbate
- Department of Analytical, Environmental and Forensic Sciences, King's College London, Faculty of Life Sciences & Medicine, London, UK
| |
Collapse
|
10
|
Clench MR, Cole LM. Perspective: Mass Spectrometry Imaging - The Next 5 Years. Methods Mol Biol 2023; 2688:203-210. [PMID: 37410295 DOI: 10.1007/978-1-0716-3319-9_17] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
In order to achieve even more widespread adoption over the next 5 years, a number of issues in mass spectrometry imaging need to be addressed. These are non-observation of compounds (due to ionization suppression), sample throughput, imaging of low-abundant species, and how to extract information from the large volumes of data generated. In this article, how current research indicates that these issues will be resolved along with potential application areas that MSI could look to exploit is discussed.
Collapse
Affiliation(s)
- Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.
| | - Laura M Cole
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| |
Collapse
|
11
|
Hou JJ, Zhang ZJ, Wu WY, He QQ, Zhang TQ, Liu YW, Wang ZJ, Gao L, Long HL, Lei M, Wu WY, Guo DA. Mass spectrometry imaging: new eyes on natural products for drug research and development. Acta Pharmacol Sin 2022; 43:3096-3111. [PMID: 36229602 PMCID: PMC9712638 DOI: 10.1038/s41401-022-00990-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2022] [Accepted: 08/25/2022] [Indexed: 11/09/2022] Open
Abstract
Natural products (NPs) and their structural analogs represent a major source of novel drug development for disease prevention and treatment. The development of new drugs from NPs includes two crucial aspects. One is the discovery of NPs from medicinal plants/microorganisms, and the other is the evaluation of the NPs in vivo at various physiological and pathological states. The heterogeneous spatial distribution of NPs in medicinal plants/microorganisms or in vivo can provide valuable information for drug development. However, few molecular imaging technologies can detect thousands of compounds simultaneously on a label-free basis. Over the last two decades, mass spectrometry imaging (MSI) methods have progressively improved and diversified, thereby allowing for the development of various applications of NPs in plants/microorganisms and in vivo NP research. Because MSI allows for the spatial mapping of the production and distribution of numerous molecules in situ without labeling, it provides a visualization tool for NP research. Therefore, we have focused this mini-review on summarizing the applications of MSI technology in discovering NPs from medicinal plants and evaluating NPs in preclinical studies from the perspective of new drug research and development (R&D). Additionally, we briefly reviewed the factors that should be carefully considered to obtain the desired MSI results. Finally, the future development of MSI in new drug R&D is proposed.
Collapse
Affiliation(s)
- Jin-Jun Hou
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zi-Jia Zhang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wen-Yong Wu
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, 210029, China
| | - Qing-Qing He
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
| | - Teng-Qian Zhang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Ya-Wen Liu
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Zhao-Jun Wang
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lei Gao
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Hua-Li Long
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Min Lei
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wan-Ying Wu
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - De-An Guo
- National Engineering Research Center of TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| |
Collapse
|
12
|
Ali A, Davidson S, Fraenkel E, Gilmore I, Hankemeier T, Kirwan JA, Lane AN, Lanekoff I, Larion M, McCall LI, Murphy M, Sweedler JV, Zhu C. Single cell metabolism: current and future trends. Metabolomics 2022; 18:77. [PMID: 36181583 PMCID: PMC10063251 DOI: 10.1007/s11306-022-01934-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 09/05/2022] [Indexed: 11/29/2022]
Abstract
Single cell metabolomics is an emerging and rapidly developing field that complements developments in single cell analysis by genomics and proteomics. Major goals include mapping and quantifying the metabolome in sufficient detail to provide useful information about cellular function in highly heterogeneous systems such as tissue, ultimately with spatial resolution at the individual cell level. The chemical diversity and dynamic range of metabolites poses particular challenges for detection, identification and quantification. In this review we discuss both significant technical issues of measurement and interpretation, and progress toward addressing them, with recent examples from diverse biological systems. We provide a framework for further directions aimed at improving workflow and robustness so that such analyses may become commonly applied, especially in combination with metabolic imaging and single cell transcriptomics and proteomics.
Collapse
Affiliation(s)
- Ahmed Ali
- Leiden Academic Centre for Drug Research, University of Leiden, Gorlaeus Building Einsteinweg 55, 2333 CC, Leiden, The Netherlands
| | - Shawn Davidson
- Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA
| | - Ernest Fraenkel
- Department of Biological Engineering and the Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Ian Gilmore
- National Physical Laboratory, Teddington, TW11 0LW, Middlesex, UK
| | - Thomas Hankemeier
- Leiden Academic Centre for Drug Research, University of Leiden, Room number GW4.07, Gorlaeus Building, Einsteinweg 55, 2333 CC, Leiden, The Netherlands
| | - Jennifer A Kirwan
- Berlin Institute of Health, Metabolomics Platform, Translational Research Unit of the Charite-Universitätsmedizin Berlin, Anna-Louisa-Karsch-Str 2, 10178, Berlin, Germany
| | - Andrew N Lane
- Department of Toxicology and Cancer Biology, and Center for Environmental and Systems Biochemistry, University of Kentucky, 789 S. Limestone St, Lexington, KY, 40536, USA.
| | - Ingela Lanekoff
- Department of Chemistry-BMC, Uppsala University, Husargatan 3 (576), 751 23, Uppsala, Sweden
| | - Mioara Larion
- Center for Cancer Research, National Cancer Institute, Building 37, Room 1136A, Bethesda, MD, 20892, USA
| | - Laura-Isobel McCall
- Department of Chemistry & Biochemistry, Department of Microbiology and Plant Biology, Laboratories of Molecular Anthropology and Microbiome Research, University of Oklahoma, 101 Stephenson Parkway, room 3750, Norman, OK, 73019-5251, USA
| | - Michael Murphy
- Departments of Biological Engineering, Department of Electrical Engineering, and Computer Science and the Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, USA
| | - Jonathan V Sweedler
- Department of Chemistry, and the Beckman Institute, University of Illinois Urbana-Champaign, 505 South Mathews Avenue, Urbana, IL, 61801, USA
| | - Caigang Zhu
- Department of Biomedical Engineering, University of Kentucky, Lexington, KY, 40536, USA
| |
Collapse
|
13
|
Luo S, Zhao Z, Wu Q, Wang Y, Lu H. Porous Graphitic Carbon-Based Imprint Mass Spectrometry Imaging with an Ambient Liquid Extraction Technique for Enhancing Coverage of Glycerolipids and Sphingolipids in Brain Tissue. Anal Chem 2022; 94:13753-13761. [PMID: 36173256 DOI: 10.1021/acs.analchem.2c01991] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Localization of lipidomes and tracking their spatial changes by mass spectrometry imaging (MSI) is critical for the mechanism studies on living process, disease, and therapeutic treatment. However, due to the strong ion suppression in complex biotissue, the imaging coverage for lipids with low polarity or low abundances, such as glycerolipids and sphingolipids, is usually limited. To address this issue, we utilized a porous graphitic carbon (PGC) material to imprint brain tissue sections for selective enrichment of neutral lipids with polar phospholipids removed. Then, the tissue imprint was scanned for desorption by the ambient liquid extraction MSI system. It was found that on the PGC surface, hydrophobic interaction dominates in protic solvents, and polar interaction dominates in aprotic solvents. Accordingly, methanol was selected as the spray solvent for tissue imprinting, and 75% acetonitrile-methanol was selected as the desorption solvent for the ambient liquid extraction MSI system. The results showed that glycerides had high recoveries after the imprinting-desorption process (recovery ∼ 70%) with phospholipids eliminated (recovery < 7%). To increase the transferring efficiencies of lipids from tissue onto PGC, electrospray was used for solvent application during imprinting, and the signals of diglycerides (DGs) in the imprint MSI of brain tissue increased by 2-3 times as compared to those via air spray. Finally, the new imprint MSI approach was applied to the imaging of the rat cerebellum and was compared with direct tissue MSI. The results showed that with imprint MSI, the coverage of DGs, sphingomyelins (SMs), and ceramides was enhanced by 4-5-fold (32 vs 6, 4 vs 1, and 5 vs 0). The ion images showed that with imprint MSI, higher signal intensities and clearer spatial distribution of DGs and SMs were obtained without interference from phosphatidylcholine signals compared with tissue MSI. This new method provides a complementary approach for traditional MSI to address the issues in imaging poorly ionizable or low-abundance lipids.
Collapse
Affiliation(s)
- Shifen Luo
- College of Chemistry and Chemical Engineering, Central South University, Hunan, Changsha 410083, P. R. China
| | - Zhihao Zhao
- College of Chemistry and Chemical Engineering, Central South University, Hunan, Changsha 410083, P. R. China
| | - Qian Wu
- College of Chemistry and Chemical Engineering, Central South University, Hunan, Changsha 410083, P. R. China
| | - Yang Wang
- Laboratory of Ethnopharmacology, Institute of Integrated Traditional Chinese and Western Medicine, Xiangya Hospital, Central South University, Hunan, Changsha 410008, P. R. China
| | - Hongmei Lu
- College of Chemistry and Chemical Engineering, Central South University, Hunan, Changsha 410083, P. R. China
| |
Collapse
|
14
|
Dong Y, Aharoni A. Image to insight: exploring natural products through mass spectrometry imaging. Nat Prod Rep 2022; 39:1510-1530. [PMID: 35735199 DOI: 10.1039/d2np00011c] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Covering: 2017 to 2022Mass spectrometry imaging (MSI) has become a mature molecular imaging technique that is well-matched for natural product (NP) discovery. Here we present a brief overview of MSI, followed by a thorough discussion of different MSI applications in NP research. This review will mainly focus on the recent progress of MSI in plants and microorganisms as they are the main producers of NPs. Specifically, the opportunity and potential of combining MSI with other imaging modalities and stable isotope labeling are discussed. Throughout, we focus on both the strengths and weaknesses of MSI, with an eye on future improvements that are necessary for the progression of MSI toward routine NP studies. Finally, we discuss new areas of research, future perspectives, and the overall direction that the field may take in the years to come.
Collapse
Affiliation(s)
- Yonghui Dong
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
| | - Asaph Aharoni
- Department of Plant Sciences, Weizmann Institute of Science, Rehovot 76100, Israel.
| |
Collapse
|
15
|
Tiquet M, La Rocca R, Kirnbauer S, Zoratto S, Van Kruining D, Quinton L, Eppe G, Martinez-Martinez P, Marchetti-Deschmann M, De Pauw E, Far J. FT-ICR Mass Spectrometry Imaging at Extreme Mass Resolving Power Using a Dynamically Harmonized ICR Cell with 1ω or 2ω Detection. Anal Chem 2022; 94:9316-9326. [PMID: 35604839 PMCID: PMC9260710 DOI: 10.1021/acs.analchem.2c00754] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
![]()
MALDI mass spectrometry
imaging (MALDI MSI) is a powerful analytical
method for achieving 2D localization of compounds from thin sections
of typically but not exclusively biological samples. The dynamically
harmonized ICR cell (ParaCell) was recently introduced to achieve
extreme spectral resolution capable of providing the isotopic fine
structure of ions detected in complex samples. The latest improvement
in the ICR technology also includes 2ω detection, which significantly
reduces the transient time while preserving the nominal mass resolving
power of the ICR cell. High-resolution MS images acquired on FT-ICR
instruments equipped with 7T and 9.4T superconducting magnets and
the dynamically harmonized ICR cell operating at suboptimal parameters
suffered severely from the pixel-to-pixel shifting of m/z peaks due to space-charge effects. The resulting
profile average mass spectra have depreciated mass measurement accuracy
and mass resolving power under the instrument specifications that
affect the confidence level of the identified ions. Here, we propose
an analytical workflow based on the monitoring of the total ion current
to restrain the pixel-to-pixel m/z shift. Adjustment of the laser parameters is proposed to maintain
high spectral resolution and mass accuracy measurement within the
instrument specifications during MSI analyses. The optimized method
has been successfully employed in replicates to perform high-quality
MALDI MS images at resolving power (FWHM) above 1,000,000 in the lipid
mass range across the whole image for superconducting magnets of 7T
and 9.4T using 1 and 2ω detection. Our data also compare favorably
with MALDI MSI experiments performed on higher-magnetic-field superconducting
magnets, including the 21T MALDI FT-ICR prototype instrument of the
NHMFL group at Tallahassee, Florida.
Collapse
Affiliation(s)
- Mathieu Tiquet
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Raphaël La Rocca
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Stefan Kirnbauer
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Samuele Zoratto
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Christian Doppler Laboratory for Skin Multimodal Imaging of Aging and Senescence, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Daan Van Kruining
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, the Netherlands
| | - Loïc Quinton
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Gauthier Eppe
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Pilar Martinez-Martinez
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, the Netherlands
| | - Martina Marchetti-Deschmann
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Christian Doppler Laboratory for Skin Multimodal Imaging of Aging and Senescence, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Johann Far
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| |
Collapse
|
16
|
Vaysse PM, Demers I, van den Hout MFCM, van de Worp W, Anthony IGM, Baijens LWJ, Tan BI, Lacko M, Vaassen LAA, van Mierlo A, Langen RCJ, Speel EJM, Heeren RMA, Porta Siegel T, Kremer B. Evaluation of the Sensitivity of Metabolic Profiling by Rapid Evaporative Ionization Mass Spectrometry: Toward More Radical Oral Cavity Cancer Resections. Anal Chem 2022; 94:6939-6947. [PMID: 35503862 PMCID: PMC9118195 DOI: 10.1021/acs.analchem.1c03583] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
![]()
Radical resection
for patients with oral cavity cancer remains
challenging. Rapid evaporative ionization mass spectrometry (REIMS)
of electrosurgical vapors has been reported for real-time classification
of normal and tumor tissues for numerous surgical applications. However,
the infiltrative pattern of invasion of oral squamous cell carcinomas
(OSCC) challenges the ability of REIMS to detect low amounts of tumor
cells. We evaluate REIMS sensitivity to determine the minimal amount
of detected tumors cells during oral cavity cancer surgery. A total
of 11 OSCC patients were included in this study. The tissue classification
based on 185 REIMS ex vivo metabolic profiles from
five patients was compared to histopathology classification using
multivariate analysis and leave-one-patient-out cross-validation.
Vapors were analyzed in vivo by REIMS during four
glossectomies. Complementary desorption electrospray ionization–mass
spectrometry imaging (DESI-MSI) was employed to map tissue heterogeneity
on six oral cavity sections to support REIMS findings. REIMS sensitivity
was assessed with a new cell-based assay consisting of mixtures of
cell lines (tumor, myoblasts, keratinocytes). Our results depict REIMS
classified tumor and soft tissues with 96.8% accuracy. In
vivo REIMS generated intense mass spectrometric signals.
REIMS detected 10% of tumor cells mixed with 90% myoblasts with 83%
sensitivity and 82% specificity. DESI-MSI underlined distinct metabolic
profiles of nerve features and a metabolic shift phosphatidylethanolamine
PE(O-16:1/18:2))/cholesterol sulfate common to both mucosal maturation
and OSCC differentiation. In conclusion, the assessment of tissue
heterogeneity with DESI-MSI and REIMS sensitivity with cell mixtures
characterized sensitive metabolic profiles toward in vivo tissue recognition during oral cavity cancer surgeries.
Collapse
Affiliation(s)
- Pierre-Maxence Vaysse
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.,Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,Department of Surgery, Maastricht University Medical Center, 6229 ER Maastricht, The Netherlands
| | - Imke Demers
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,Department of Pathology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Mari F C M van den Hout
- Department of Pathology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Wouter van de Worp
- Department of Respiratory Medicine, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ian G M Anthony
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Laura W J Baijens
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Bing I Tan
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Martin Lacko
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Lauretta A A Vaassen
- Department of Cranio-Maxillofacial Surgery, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Auke van Mierlo
- Department of Cranio-Maxillofacial Surgery, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ramon C J Langen
- Department of Respiratory Medicine, NUTRIM School for Nutrition, Toxicology and Metabolism, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ernst-Jan M Speel
- Department of Pathology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Tiffany Porta Siegel
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Bernd Kremer
- Department of Otorhinolaryngology, Head and Neck Surgery, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands.,GROW School for Oncology and Developmental Biology, Maastricht University Medical Center, 6202 AZ Maastricht, The Netherlands
| |
Collapse
|
17
|
Tang L, Swezey RR, Green CE, Mirsalis JC. Enhancement of sensitivity and quantification quality in the LC-MS/MS measurement of large biomolecules with sum of MRM (SMRM). Anal Bioanal Chem 2022; 414:1933-1947. [PMID: 34997251 PMCID: PMC8804067 DOI: 10.1007/s00216-021-03829-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 11/15/2021] [Accepted: 12/03/2021] [Indexed: 02/03/2023]
Abstract
Liquid chromatography (LC) coupled with tandem mass spectrometry (MS/MS) provides a simple and efficient means for the measurement of analytes in biological matrices with high selectivity and specificity. LC-MS/MS plays an important role in the pharmaceutical industry and biomedical research, but it requires analytes to be in an ionized form in order to be detected. This can pose a challenge for large molecules such as proteins and peptides, because they can exist in multiple charged forms, and this will reduce the total analyte signal by distributing it into multiple ion peaks with a different number of charges in a mass spectrum. In conventional LC-MS/MS analysis of such macromolecules, one charged form is selected as the precursor ion which is then fragmented by collision-induced dissociation (CID) in MS/MS to generate product ions, a process referred to as multiple-reaction monitoring (MRM). The MRM method minimizes interference from endogenous molecules within biological matrices that share the same molecular weight of the precursor ion, but at the expense of signal intensity as compared to precursor ion intensity. We describe here an approach to boost detection sensitivity and expand dynamic range in the quantitation of large molecules while maintaining analytical specificity using summation of MRM (SMRM) transitions and LC separation technique. Protein image from PDB-101 (PDB101.rscb.org).
Collapse
Affiliation(s)
- Liang Tang
- Corresponding author at: SRI Biosciences, 333 Ravenswood Avenue, Menlo Park, CA 94025, USA,
| | | | | | | |
Collapse
|
18
|
Li C, Chu S, Tan S, Yin X, Jiang Y, Dai X, Gong X, Fang X, Tian D. Towards Higher Sensitivity of Mass Spectrometry: A Perspective From the Mass Analyzers. Front Chem 2021; 9:813359. [PMID: 34993180 PMCID: PMC8724130 DOI: 10.3389/fchem.2021.813359] [Citation(s) in RCA: 39] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2021] [Accepted: 12/06/2021] [Indexed: 01/12/2023] Open
Abstract
Mass spectrometry (MS) is one of the most widely used analytical techniques in many fields. Recent developments in chemical and biological researches have drawn much attention to the measurement of substances with low abundances in samples. Continuous efforts have been made consequently to further improve the sensitivity of MS. Modifications on the mass analyzers of mass spectrometers offer a direct, universal and practical way to obtain higher sensitivity. This review provides a comprehensive overview of the latest developments in mass analyzers for the improvement of mass spectrometers' sensitivity, including quadrupole, ion trap, time-of-flight (TOF) and Fourier transform ion cyclotron (FT-ICR), as well as different combinations of these mass analyzers. The advantages and limitations of different mass analyzers and their combinations are compared and discussed. This review provides guidance to the selection of suitable mass spectrometers in chemical and biological analytical applications. It is also beneficial to the development of novel mass spectrometers.
Collapse
Affiliation(s)
- Chang Li
- College of Instrumentation & Electrical Engineering, Jilin University, Changchun, China
| | - Shiying Chu
- Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, People’s Republic ofChina
| | - Siyuan Tan
- Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, People’s Republic ofChina
| | - Xinchi Yin
- Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, People’s Republic ofChina
| | - You Jiang
- Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, People’s Republic ofChina
| | - Xinhua Dai
- Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, People’s Republic ofChina
| | - Xiaoyun Gong
- Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, People’s Republic ofChina
| | - Xiang Fang
- Technology Innovation Center of Mass Spectrometry for State Market Regulation, Center for Advanced Measurement Science, National Institute of Metrology, Beijing, People’s Republic ofChina
| | - Di Tian
- College of Instrumentation & Electrical Engineering, Jilin University, Changchun, China
| |
Collapse
|
19
|
Innovation in drug toxicology: Application of mass spectrometry imaging technology. Toxicology 2021; 464:153000. [PMID: 34695509 DOI: 10.1016/j.tox.2021.153000] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 09/21/2021] [Accepted: 10/18/2021] [Indexed: 01/19/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful molecular imaging technology that can obtain qualitative, quantitative, and location information by simultaneously detecting and mapping endogenous or exogenous molecules in biological tissue slices without specific chemical labeling or complex sample pretreatment. This article reviews the progress made in MSI and its application in drug toxicology research, including the tissue distribution of toxic drugs and their metabolites, the target organs (liver, kidney, lung, eye, and central nervous system) of toxic drugs, the discovery of toxicity-associated biomarkers, and explanations of the mechanisms of drug toxicity when MSI is combined with the cutting-edge omics methodologies. The unique advantages and broad prospects of this technology have been fully demonstrated to further promote its wider use in the field of pharmaceutical toxicology.
Collapse
|
20
|
Guo R, Zhou L, Chen X. Desorption electrospray ionization (DESI) source coupling ion mobility mass spectrometry for imaging fluoropezil (DC20) distribution in rat brain. Anal Bioanal Chem 2021; 413:5835-5847. [PMID: 34405263 DOI: 10.1007/s00216-021-03563-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2021] [Revised: 06/28/2021] [Accepted: 07/19/2021] [Indexed: 12/15/2022]
Abstract
Fluoropezil (DC20) is a new selective acetylcholinesterase inhibitor, and it was developed for the treatment of Alzheimer's disease patients. In this study, a desorption electrospray ionization source coupling ion mobility mass spectrometry imaging (DESI/IMS-MSI) method was developed to explore the distribution of DC20 in brain tissue following oral administration. Rat brain coronal slices obtained 1 h and 3 h following drug dosing were used in the study. D6-DC20 was used as internal standard and sprayed by matrix sprayer on the brain slices to calibrate the matrix effect. Ion mobility separation was used to reduce the interference from background noise and the biological matrix. By optimizing DESI-MSI parameters for improved sensitivity, the limit of quantitation of the method was 1.45 pg/mm2 with a linear range from 1.45 to 72.7 pg/mm2. DESI-MSI data showed that DC20 could quickly enter and diffuse across whole brain and tended to be much more enriched in striatum than cerebral cortex and hippocampus, which was consistent with quantitative analysis using high-performance liquid chromatography-electrospray tandem mass spectrometry to measure DC20 concentration in each homogenized brain sub-region. The workflow of tissue imaging method optimization and strategy were established, and for the first time, the DESI-MSI technique and optimized method were used to explore the distribution characteristics of DC20 in rat brain, which could help elucidate pharmacological effect mechanisms and improve clinical outcomes.
Collapse
Affiliation(s)
- Runcong Guo
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, No. 501 Haike Road, Shanghai, 201203, People's Republic of China.,University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing, 100049, People's Republic of China
| | - Lei Zhou
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, No. 501 Haike Road, Shanghai, 201203, People's Republic of China
| | - Xiaoyan Chen
- Shanghai Institute of Materia Medica, Chinese Academy of Sciences, No. 501 Haike Road, Shanghai, 201203, People's Republic of China. .,University of Chinese Academy of Sciences, No. 19A Yuquan Road, Beijing, 100049, People's Republic of China.
| |
Collapse
|
21
|
Quantitative mass spectrometry imaging of drugs and metabolites: a multiplatform comparison. Anal Bioanal Chem 2021; 413:2779-2791. [PMID: 33770207 PMCID: PMC8007509 DOI: 10.1007/s00216-021-03210-0] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2020] [Revised: 01/25/2021] [Accepted: 02/01/2021] [Indexed: 01/11/2023]
Abstract
Mass spectrometry imaging (MSI) provides insight into the molecular distribution of a broad range of compounds and, therefore, is frequently applied in the pharmaceutical industry. Pharmacokinetic and toxicological studies deploy MSI to localize potential drugs and their metabolites in biological tissues but currently require other analytical tools to quantify these pharmaceutical compounds in the same tissues. Quantitative mass spectrometry imaging (Q-MSI) is a field with challenges due to the high biological variability in samples combined with the limited sample cleanup and separation strategies available prior to MSI. In consequence, more selectivity in MSI instruments is required. This can be provided by multiple reaction monitoring (MRM) which uses specific precursor ion-product ion transitions. This targeted approach is in particular suitable for pharmaceutical compounds because their molecular identity is known prior to analysis. In this work, we compared different analytical platforms to assess the performance of MRM detection compared to other MS instruments/MS modes used in a Q-MSI workflow for two drug candidates (A and B). Limit of detection (LOD), linearity, and precision and accuracy of high and low quality control (QC) samples were compared between MS instruments/modes. MRM mode on a triple quadrupole mass spectrometer (QqQ) provided the best overall performance with the following results for compounds A and B: LOD 35.5 and 2.5 μg/g tissue, R2 0.97 and 0.98 linearity, relative standard deviation QC <13.6%, and 97-112% accuracy. Other MS modes resulted in LOD 6.7-569.4 and 2.6-119.1 μg/g tissue, R2 0.86-0.98 and 0.86-0.98 linearity, relative standard deviation QC < 19.4 and < 37.5%, and 70-356% and 64-398% accuracy for drug candidates A and B, respectively. In addition, we propose an optimized 3D printed mimetic tissue model to increase the overall analytical throughput of our approach for large animal studies. The MRM imaging platform was applied as proof-of-principle for quantitative detection of drug candidates A and B in four dog livers and compared to LC-MS. The Q-MSI concentrations differed <3.5 times with the concentrations observed by LC-MS. Our presented MRM-based Q-MSI approach provides a more selective and high-throughput analytical platform due to MRM specificity combined with an optimized 3D printed mimetic tissue model.
Collapse
|
22
|
Wang T, Lee HK, Yue GGL, Chung ACK, Lau CBS, Cai Z. A novel binary matrix consisting of graphene oxide and caffeic acid for the analysis of scutellarin and its metabolites in mouse kidney by MALDI imaging. Analyst 2021; 146:289-295. [PMID: 33140762 DOI: 10.1039/d0an01539c] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Although the in vivo metabolic pathways of scutellarin, a traditional Chinese medicine, have been investigated via different liquid chromatography techniques, studies on the distribution and location of scutellarin within organ tissue sections have not been reported. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) can generate in situ spatial distribution profiles for scutellarin and its metabolites in a kidney section. However, the direct detection of a small molecule (m/z < 600) using conventional matrices often results in ion suppression and matrix interferences. In this study, we demonstrated a novel methodology using MALDI-MSI for the in situ spatial localization of scutellarin and its metabolites in kidney tissues by applying a binary matrix of graphene oxide (GO) and caffeic acid (CA). The results indicated that the binary matrix (GO/CA) significantly improved the detection efficiency of scutellarin and its metabolites with relatively high sensitivity, selectivity and reproducibility on tissue sections. This methodology was successfully applied to map scutellarin and its metabolites with MALDI-MSI in mouse kidney tissues. Specifically, scutellarin and scutellarein were found to be located in the cortex and medulla regions of the kidney with relatively high abundance, whereas the remaining metabolites appeared in the cortex with low abundance. We believe that the novel imaging methodology may also be used for the studies of cancerous tissues and inform the development of the future therapies of kidney tumors.
Collapse
Affiliation(s)
- Tao Wang
- Department of Chemistry and State Key Laboratory of Environmental and Biological Analysis, Hong Kong Baptist University, Kowloon Tong, Kowloon, Hong Kong SAR, P. R. China.
| | | | | | | | | | | |
Collapse
|
23
|
Borden SA, Palaty J, Termopoli V, Famiglini G, Cappiello A, Gill CG, Palma P. MASS SPECTROMETRY ANALYSIS OF DRUGS OF ABUSE: CHALLENGES AND EMERGING STRATEGIES. MASS SPECTROMETRY REVIEWS 2020; 39:703-744. [PMID: 32048319 DOI: 10.1002/mas.21624] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Accepted: 01/22/2020] [Indexed: 06/10/2023]
Abstract
Mass spectrometry has been the "gold standard" for drugs of abuse (DoA) analysis for many decades because of the selectivity and sensitivity it affords. Recent progress in all aspects of mass spectrometry has seen significant developments in the field of DoA analysis. Mass spectrometry is particularly well suited to address the rapidly proliferating number of very high potency, novel psychoactive substances that are causing an alarming number of fatalities worldwide. This review surveys advancements in the areas of sample preparation, gas and liquid chromatography-mass spectrometry, as well as the rapidly emerging field of ambient ionization mass spectrometry. We have predominantly targeted literature progress over the past ten years and present our outlook for the future. © 2020 Periodicals, Inc. Mass Spec Rev.
Collapse
Affiliation(s)
- Scott A Borden
- Applied Environmental Research Laboratories (AERL), Department of Chemistry, Vancouver Island University, Nanaimo, BC, V9R 5S5, Canada
- Department of Chemistry, University of Victoria, Victoria, BC, V8P 5C2, Canada
| | - Jan Palaty
- LifeLabs Medical Laboratories, Burnaby, BC, V3W 1H8, Canada
| | - Veronica Termopoli
- LC-MS Laboratory, Department of Pure and Applied Sciences, University of Urbino Carlo Bo, 61029, Urbino, Italy
| | - Giorgio Famiglini
- LC-MS Laboratory, Department of Pure and Applied Sciences, University of Urbino Carlo Bo, 61029, Urbino, Italy
| | - Achille Cappiello
- Applied Environmental Research Laboratories (AERL), Department of Chemistry, Vancouver Island University, Nanaimo, BC, V9R 5S5, Canada
- LC-MS Laboratory, Department of Pure and Applied Sciences, University of Urbino Carlo Bo, 61029, Urbino, Italy
| | - Chris G Gill
- Applied Environmental Research Laboratories (AERL), Department of Chemistry, Vancouver Island University, Nanaimo, BC, V9R 5S5, Canada
- Department of Chemistry, University of Victoria, Victoria, BC, V8P 5C2, Canada
- Department of Chemistry, Simon Fraser University, Burnaby, BC, V5A 1S6, Canada
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, 98195
| | - Pierangela Palma
- Applied Environmental Research Laboratories (AERL), Department of Chemistry, Vancouver Island University, Nanaimo, BC, V9R 5S5, Canada
- LC-MS Laboratory, Department of Pure and Applied Sciences, University of Urbino Carlo Bo, 61029, Urbino, Italy
| |
Collapse
|
24
|
Li M, Wang X, Han L, Jia L, Liu E, Li Z, Yu H, Wang Y, Gao X, Yang W. Integration of multicomponent characterization, untargeted metabolomics and mass spectrometry imaging to unveil the holistic chemical transformations and key markers associated with wine steaming of Ligustri Lucidi Fructus. J Chromatogr A 2020; 1624:461228. [DOI: 10.1016/j.chroma.2020.461228] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2020] [Revised: 04/15/2020] [Accepted: 05/07/2020] [Indexed: 11/24/2022]
|
25
|
Recent advances of ambient mass spectrometry imaging for biological tissues: A review. Anal Chim Acta 2020; 1117:74-88. [DOI: 10.1016/j.aca.2020.01.052] [Citation(s) in RCA: 35] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2019] [Revised: 01/21/2020] [Accepted: 01/22/2020] [Indexed: 12/30/2022]
|
26
|
Holmes DT, Romney MG, Angel P, DeMarco ML. Proteomic applications in pathology and laboratory medicine: Present state and future prospects. Clin Biochem 2020; 82:12-20. [PMID: 32442429 DOI: 10.1016/j.clinbiochem.2020.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 05/13/2020] [Accepted: 05/13/2020] [Indexed: 12/11/2022]
Abstract
Clinical mass spectrometry applications have traditionally focused on small molecules, particularly in the areas of therapeutic drug monitoring, toxicology, and measurement of endogenous and exogenous steroids. More recently, the use of matrix assisted laser desorption/ionization time of flight mass spectrometry for the identification of microbial pathogens has been widely implemented. Following this evolution, there has been an expanding role for the measurement of peptides and proteins in pathology and laboratory medicine. This review explores the current state of protein measurement by clinical mass spectrometry and the analytical strategies employed, as well as emerging applications in clinical chemistry, clinical microbiology and anatomical pathology.
Collapse
Affiliation(s)
- Daniel T Holmes
- Department of Pathology and Laboratory Medicine, St. Paul's Hospital, 1081 Burrard St, Vancouver, BC V6Z 1Y6, Canada; University of British Columbia Department of Pathology and Laboratory Medicine, Vancouver, BC V6T 2B5 Canada.
| | - Marc G Romney
- Department of Pathology and Laboratory Medicine, St. Paul's Hospital, 1081 Burrard St, Vancouver, BC V6Z 1Y6, Canada; University of British Columbia Department of Pathology and Laboratory Medicine, Vancouver, BC V6T 2B5 Canada.
| | - Peggi Angel
- Department of Cell and Molecular Pharmacology and Experimental Therapeutics, Medical University of South Carolina, Charelston, SC 29425 Canada.
| | - Mari L DeMarco
- Department of Pathology and Laboratory Medicine, St. Paul's Hospital, 1081 Burrard St, Vancouver, BC V6Z 1Y6, Canada; University of British Columbia Department of Pathology and Laboratory Medicine, Vancouver, BC V6T 2B5 Canada.
| |
Collapse
|
27
|
van Geenen FAMG, Claassen FW, Franssen MCR, Zuilhof H, Nielen MWF. Laser Ablation Electrospray Ionization Hydrogen/Deuterium Exchange Ambient Mass Spectrometry Imaging. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:249-256. [PMID: 32031404 PMCID: PMC7053432 DOI: 10.1021/jasms.9b00082] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Identification and confirmation of known as well as unknown (bio)chemical entities in ambient mass spectrometry (MS) and MS imaging (MSI) mostly involve accurate mass determination, often in combination with MS/MS or MSn work flows. To further improve structural assignment, additional molecular information is required. Here we present an ambient hydrogen/deuterium exchange (HDX) laser ablation electrospray ionization (LAESI) MS method in which, apart from the accurate mass and MS/MS data, the number of exchangeable protons in (un)known molecules is obtained. While eventually presenting ambient HDX-LAESI-MSI, samples were not preincubated with deuterated solvents, but instead HDX occurred following fusion of ablated sample material with microdroplets generated by ESI of deuterated solvents. Therefore, the degree of HDX was first studied following ablation of nondeuterated sample solutions of melamine and monosaccharides. From these experiments, it was concluded that the set-up used could provide meaningful HDX data in support of molecular structure elucidation by significantly reducing the number of structure options from a measured elemental composition. This reduction was demonstrated with an unknown accurate m/z value obtained in the analysis of an orange slice, reducing the possible number of molecular structures having the same elemental composition by 87% due to the number of H/D exchanges observed. Next, deuterated and nondeuterated MS/MS experiments showed the number of exchangeable protons in the substructures from deuterated neutral losses in the product ion spectra, confirming the compound to be arginine. Finally, the potential of ambient HDX-LAESI-MSI was demonstrated by the imaging of (secondary) plant metabolites in a Phalaenopsis petal.
Collapse
Affiliation(s)
- Fred A. M. G. van Geenen
- Laboratory of Organic Chemistry,
Wageningen University, Stippeneng 4, 6708 WE Wageningen,
The Netherlands
- TI-COAST, Science Park 904,
1098 XH Amsterdam, The Netherlands
- Institute for Molecules and Materials, FELIX Laboratory,
Radboud University, Toernooiveld 7c, 6525 ED Nijmegen,
The Netherlands
| | - Frank W. Claassen
- Laboratory of Organic Chemistry,
Wageningen University, Stippeneng 4, 6708 WE Wageningen,
The Netherlands
| | - Maurice C. R. Franssen
- Laboratory of Organic Chemistry,
Wageningen University, Stippeneng 4, 6708 WE Wageningen,
The Netherlands
| | - Han Zuilhof
- Laboratory of Organic Chemistry,
Wageningen University, Stippeneng 4, 6708 WE Wageningen,
The Netherlands
- School of Pharmaceutical Sciences and Technology,
Tianjin University, 92 Weijin Road, Tianjin 300072,
P.R. China
| | - Michel W. F. Nielen
- Laboratory of Organic Chemistry,
Wageningen University, Stippeneng 4, 6708 WE Wageningen,
The Netherlands
- Wageningen Food Safety Research (WFSR),
Wageningen University & Research, P.O. Box 230, 6700 AE
Wageningen, The Netherlands
- E-mail:
| |
Collapse
|
28
|
Claes BSR, Takeo E, Fukusaki E, Shimma S, Heeren RMA. Imaging Isomers on a Biological Surface: A Review. Mass Spectrom (Tokyo) 2019; 8:A0078. [PMID: 32158629 PMCID: PMC7035452 DOI: 10.5702/massspectrometry.a0078] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 10/31/2019] [Indexed: 12/30/2022] Open
Abstract
Mass spectrometry imaging is an imaging technology that allows the localization and identification of molecules on (biological) sample surfaces. Obtaining the localization of a compound in tissue is of great value in biological research. Yet, the identification of compounds remains a challenge. Mass spectrometry alone, even with high-mass resolution, cannot always distinguish between the subtle structural differences of isomeric compounds. This review discusses recent advances in mass spectrometry imaging of lipids, steroid hormones, amino acids and proteins that allow imaging with isomeric resolution. These improvements in detailed identification can give new insights into the local biological activity of isomers.
Collapse
Affiliation(s)
- Britt S. R. Claes
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University
| | - Emi Takeo
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Eiichiro Fukusaki
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Shuichi Shimma
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Ron M. A. Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University
| |
Collapse
|
29
|
Barré FPY, Paine MRL, Flinders B, Trevitt AJ, Kelly PD, Ait-Belkacem R, Garcia JP, Creemers LB, Stauber J, Vreeken RJ, Cillero-Pastor B, Ellis SR, Heeren RMA. Enhanced Sensitivity Using MALDI Imaging Coupled with Laser Postionization (MALDI-2) for Pharmaceutical Research. Anal Chem 2019; 91:10840-10848. [PMID: 31355633 PMCID: PMC6706868 DOI: 10.1021/acs.analchem.9b02495] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Visualizing the distributions of drugs and their metabolites is one of the key emerging application areas of matrix-assisted laser desorption/ionization-mass spectrometry imaging (MALDI-MSI) within pharmaceutical research. The success of a given MALDI-MSI experiment is ultimately determined by the ionization efficiency of the compounds of interest, which in many cases are too low to enable detection at relevant concentrations. In this work we have taken steps to address this challenge via the first application of laser-postionisation coupled with MALDI (so-called MALDI-2) to the analysis and imaging of pharmaceutical compounds. We demonstrate that MALDI-2 increased the signal intensities for 7 out of the 10 drug compounds analyzed by up to 2 orders of magnitude compared to conventional MALDI analysis. This gain in sensitivity enabled the distributions of drug compounds in both human cartilage and dog liver tissue to be visualized using MALDI-2, whereas little-to-no signal from tissue was obtained using conventional MALDI. This work demonstrates the vast potential of MALDI-2-MSI in pharmaceutical research and drug development and provides a valuable tool to broaden the application areas of MSI. Finally, in an effort to understand the ionization mechanism, we provide the first evidence that the preferential formation of [M + H]+ ions with MALDI-2 has no obvious correlation with the gas-phase proton affinity values of the analyte molecules, suggesting, as with MALDI, the occurrence of complex and yet to be elucidated ionization phenomena.
Collapse
Affiliation(s)
- Florian P Y Barré
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Martin R L Paine
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Bryn Flinders
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Adam J Trevitt
- School of Chemistry , University of Wollongong , Wollongong , Australia
| | - Patrick D Kelly
- School of Chemistry , University of Wollongong , Wollongong , Australia
| | | | - João P Garcia
- University Medical Centre (UMC) Utrecht , Department of Orthopedics , Heidelberglaan 100 , 3584 CX Utrecht , The Netherlands
| | - Laura B Creemers
- University Medical Centre (UMC) Utrecht , Department of Orthopedics , Heidelberglaan 100 , 3584 CX Utrecht , The Netherlands
| | | | - Rob J Vreeken
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands.,Discovery Sciences , Janssen Research and Development , Beerse , Belgium
| | - Berta Cillero-Pastor
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Shane R Ellis
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| | - Ron M A Heeren
- The Maastricht MultiModal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry , Maastricht University , Universiteitssingel 50 , 6229 ER Maastricht , The Netherlands
| |
Collapse
|
30
|
Castellanos A, Ramirez CE, Michalkova V, Nouzova M, Noriega FG, Francisco FL. Three Dimensional Secondary Ion Mass Spectrometry Imaging (3D-SIMS) of Aedes aegypti ovarian follicles. JOURNAL OF ANALYTICAL ATOMIC SPECTROMETRY 2019; 34:874-883. [PMID: 31680712 PMCID: PMC6824543 DOI: 10.1039/c8ja00425k] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/02/2023]
Abstract
The mobilization of nutrient reserves into the ovaries of Aedes aegypti mosquitoes after sugar-feeding plays a vital role in the female's reproductive maturation. In the present work, three-dimensional secondary ion mass spectrometry imaging (3D-SIMS) was used to generate ultrahigh spatial resolution (~1 μm) chemical maps and study the composition and spatial distribution of lipids at the single ovarian follicle level (~100 μm in size). 3D-Mass Spectrometry Imaging (3D-MSI) allowed the identification of cellular types in the follicle (oocyte, nurse and follicular cells) using endogenous markers, and revealed that most of the triacyglycerides (TGs) were compartmentalized in the oocyte region. By comparing follicles from water-fed and sugar-fed females (n=2), 3D-MSI-Time of Flight-SIMS showed that TGs were more abundant in ovarian follicles of sugar-fed females; despite relative sample reproducibility per feeding condition, more biological replicates will better support the trends observed. While the current 3D-MSI-TOF-SIMS does not permit MS/MS analysis of the lipid species, complementary LC-MS/MS analysis of the ovarian follicles aided tentative lipid assignments of the SIMS data. The combination of these MS approaches is giving us a first glimpse of the distribution of functionally relevant ovarian lipid molecules at the cellular level. These new tools can be used to investigate the roles of different lipids on follicle fitness and overall mosquito reproductive output.
Collapse
Affiliation(s)
- Anthony Castellanos
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, 33199, United States
| | - Cesar E. Ramirez
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, 33199, United States
| | - Veronika Michalkova
- Department of Biological Sciences, Florida International University, Miami, Florida, 33199, United States
| | - Marcela Nouzova
- Department of Biological Sciences, Florida International University, Miami, Florida, 33199, United States
- Institute of Parasitology, Biology Centre CAS, Ceske, Budejovice, Czech Republic; and
| | - Fernando G. Noriega
- Department of Biological Sciences, Florida International University, Miami, Florida, 33199, United States
- Biomolecular Sciences Institute, Florida International University, Miami, Florida, 33199, United States
| | - Fernández-Lima Francisco
- Department of Chemistry and Biochemistry, Florida International University, Miami, Florida, 33199, United States
- Biomolecular Sciences Institute, Florida International University, Miami, Florida, 33199, United States
- Corresponding author: Francisco A. Fernández-Lima, Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th St AHC4-233, Miami, FL 33199, USA;
| |
Collapse
|
31
|
Su P, Hu H, Warneke J, Belov ME, Anderson GA, Laskin J. Design and Performance of a Dual-Polarity Instrument for Ion Soft Landing. Anal Chem 2019; 91:5904-5912. [PMID: 30999743 DOI: 10.1021/acs.analchem.9b00309] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Pei Su
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States
| | - Hang Hu
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States
| | - Jonas Warneke
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States
- Wilhelm-Ostwald-Institut für Physikalische und Theoretische Chemie, Universität Leipzig, Linnestr. 2, 04103 Leipzig, Germany
| | | | - Gordon A. Anderson
- GAA Custom Engineering, LLC, POB 335, Benton City, Washington 99320, United States
| | - Julia Laskin
- Department of Chemistry, Purdue University, 560 Oval Drive, West Lafayette, Indiana 47907, United States
| |
Collapse
|