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Fu T, Calabrese V, Bancel S, Quéau H, Garnero L, Delorme N, Abbaci K, Salvador A, Chaumot A, Geffard O, Degli-Esposti D, Ayciriex S. ToF-SIMS imaging shows specific lipophilic vitamin alterations in chronic reprotoxicity caused by the emerging contaminant Pravastatin in Gammarus fossarum. AQUATIC TOXICOLOGY (AMSTERDAM, NETHERLANDS) 2024; 271:106935. [PMID: 38723468 DOI: 10.1016/j.aquatox.2024.106935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 04/22/2024] [Accepted: 04/28/2024] [Indexed: 05/21/2024]
Abstract
Blood lipid-lowering agents, such as Pravastatin, are among the most frequently used pharmaceuticals released into the aquatic environment. Although their effects on humans are very well understood, their consequences on freshwater organisms are not well known, especially in chronic exposure conditions. Gammarus fossarum is commonly used as sentinel species in ecotoxicology because of its sensitivity to a wide range of environmental contaminants and the availability of standardized bioassays. Moreover, there is an increased interest in linking molecular changes in sentinel species, such as gammarids, to observed toxic effects. Here, we performed a reproductive toxicity assay on females exposed to different concentrations of pravastatin (30; 300; 3,000 and 30,000 ng L-1) during two successive reproductive cycles and we applied ToF-SIMS imaging to evaluate the effect of pravastatin on lipid homeostasis in gammarids. Reproductive bioassay showed that pravastatin could affect oocyte development in Gammarus fossarum inducing embryotoxicity in the second reproductive cycle. Mass spectrometry imaging highlighted the disruption in vitamin E production in the oocytes of exposed female gammarids at the second reproductive cycle, while limited alterations were observed in other lipid classes, regarding both production and tissue distribution. The results demonstrated the interest of applying spatially resolved lipidomics by mass spectrometry imaging to assess the molecular effects induced by long-term exposure to environmental pharmaceutical residues in sentinel species.
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Affiliation(s)
- Tingting Fu
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, Villeurbanne F-69100, France
| | - Valentina Calabrese
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, Villeurbanne F-69100, France
| | - Sarah Bancel
- INRAEe, UR RiverLy, Ecotoxicology Team, Villeurbanne F-69625, France
| | - Hervé Quéau
- INRAEe, UR RiverLy, Ecotoxicology Team, Villeurbanne F-69625, France
| | - Laura Garnero
- INRAEe, UR RiverLy, Ecotoxicology Team, Villeurbanne F-69625, France
| | - Nicolas Delorme
- INRAEe, UR RiverLy, Ecotoxicology Team, Villeurbanne F-69625, France
| | - Khedidja Abbaci
- INRAEe, UR RiverLy, Ecotoxicology Team, Villeurbanne F-69625, France
| | - Arnaud Salvador
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, Villeurbanne F-69100, France
| | - Arnaud Chaumot
- INRAEe, UR RiverLy, Ecotoxicology Team, Villeurbanne F-69625, France
| | - Olivier Geffard
- INRAEe, UR RiverLy, Ecotoxicology Team, Villeurbanne F-69625, France
| | | | - Sophie Ayciriex
- Univ Lyon, CNRS, Université Claude Bernard Lyon 1, Institut des Sciences Analytiques, UMR 5280, 5 rue de la Doua, Villeurbanne F-69100, France.
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2
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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.
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Affiliation(s)
- Boone M Prentice
- Department of Chemistry, University of Florida, Gainesville, Florida, USA
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3
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Zhang J, Zhang Y, Yin Y, Feng Y, Zhang R, Meng H, Wang J. 'Fear, uncertain, tired…...' psychological distress among pulmonary hypertension patients: a qualitative interview study. BMC Psychiatry 2024; 24:100. [PMID: 38317081 PMCID: PMC10840283 DOI: 10.1186/s12888-024-05539-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Accepted: 01/19/2024] [Indexed: 02/07/2024] Open
Abstract
BACKGROUND Patient-centered health care for patients with pulmonary hypertension (PH) is important and requires an understanding of patient experiences. However, there is a lack of approaches to examine what's the effects and how the disease impact patients' psychological well-beings. METHODS We conducted qualitative interviews with PH patient representatives to understand patient psychological experiences and inform patient-centered research and care. Participants were chosen from a tertiary hospital located in northwest China. 20 patients with PH who be treated at the hospital (13 participants were women, aged 18-74 years) were strategically selected and individually interviewed. We used qualitative analysis to identify themes relating to existential psychological distress that would clarify the nature of such concerns. RESULTS We found that patients experience tremendous psychological distress throughout the treatment process. Four categories that describe patients' psychological experiences emerged: burden of PH treatment, fear and uncertainty about the disease, frustration in social and family role, and lack of recognition of the condition. CONCLUSIONS Existential concerns are salient in PH and involve the experience of loss and disruptions to the sense of self and relationships. Healthcare practitioners must work more in collaboration to detect patients' need for support and to develop the patient's own skills to manage daily life. The PH teams should tailor interventions to provide emotional, informational and instrumental support and guidance to patients.
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Affiliation(s)
- Juxia Zhang
- Clinical Educational Department, Gansu Provincial Hospital, Lanzhou, 730000, Gansu, China.
| | - Yiyin Zhang
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China
| | - Yuhuan Yin
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China
| | - Yuping Feng
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China
| | - Rong Zhang
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China
| | - Hongyan Meng
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China
| | - Jing Wang
- School of Nursing, Gansu University of Chinese Medicine, Lanzhou, 730000, Gansu, China
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4
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Shen Y, Howard L, Yu XY. Secondary Ion Mass Spectral Imaging of Metals and Alloys. MATERIALS (BASEL, SWITZERLAND) 2024; 17:528. [PMID: 38276468 PMCID: PMC10820874 DOI: 10.3390/ma17020528] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 01/18/2024] [Accepted: 01/20/2024] [Indexed: 01/27/2024]
Abstract
Secondary Ion Mass Spectrometry (SIMS) is an outstanding technique for Mass Spectral Imaging (MSI) due to its notable advantages, including high sensitivity, selectivity, and high dynamic range. As a result, SIMS has been employed across many domains of science. In this review, we provide an in-depth overview of the fundamental principles underlying SIMS, followed by an account of the recent development of SIMS instruments. The review encompasses various applications of specific SIMS instruments, notably static SIMS with time-of-flight SIMS (ToF-SIMS) as a widely used platform and dynamic SIMS with Nano SIMS and large geometry SIMS as successful instruments. We particularly focus on SIMS utility in microanalysis and imaging of metals and alloys as materials of interest. Additionally, we discuss the challenges in big SIMS data analysis and give examples of machine leaning (ML) and Artificial Intelligence (AI) for effective MSI data analysis. Finally, we recommend the outlook of SIMS development. It is anticipated that in situ and operando SIMS has the potential to significantly enhance the investigation of metals and alloys by enabling real-time examinations of material surfaces and interfaces during dynamic transformations.
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Affiliation(s)
- Yanjie Shen
- College of Biology and Oceanography, Weifang University, 5147 Dongfeng East Street, Weifang 261061, China
- Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
| | - Logan Howard
- Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
- The Bredesen Center, 310 Ferris Hall, 1508 Middle Drive, Knoxville, TN 37996, USA
| | - Xiao-Ying Yu
- Materials Science and Technology Division, Oak Ridge National Laboratory, Oak Ridge, TN 37830, USA
- The Bredesen Center, 310 Ferris Hall, 1508 Middle Drive, Knoxville, TN 37996, USA
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5
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Gorman BL, Taylor MJ, Tesfay L, Lukowski JK, Hegde P, Eder JG, Bloodsworth KJ, Kyle JE, Torti S, Anderton CR. Applying Multimodal Mass Spectrometry to Image Tumors Undergoing Ferroptosis Following In Vivo Treatment with a Ferroptosis Inducer. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2024; 35:5-12. [PMID: 38079508 DOI: 10.1021/jasms.3c00193] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/04/2024]
Abstract
Epithelial ovarian cancer (EOC) is the most common form of ovarian cancer. The poor prognosis generally associated with this disease has led to the search for improved therapies such as ferroptosis-inducing agents. Ferroptosis is a form of regulated cell death that is dependent on iron and is characterized by lipid peroxidation. Precise mapping of lipids and iron within tumors exposed to ferroptosis-inducing agents may provide insight into processes of ferroptosis in vivo and ultimately assist in the optimal deployment of ferroptosis inducers in cancer therapy. In this work, we present a method for combining matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) with secondary ion mass spectrometry (SIMS) to analyze changes in spatial lipidomics and metal composition, respectively, in ovarian tumors following exposure to a ferroptosis inducer. Tumors were obtained by injecting human ovarian cancer tumor-initiating cells into mice, followed by treatment with the ferroptosis inducer erastin. SIMS imaging detected iron accumulation in the tumor tissue, and sequential MALDI-MS imaging of the same tissue section displayed two chemically distinct regions of lipids. One region was associated with the iron-rich area detected with SIMS, and the other region encompassed the remainder of the tissue section. Bulk lipidomics confirmed the lipid assignments putatively assigned from the MALDI-MS data. Overall, we demonstrate the ability of multimodal MSI to identify the spatial locations of iron and lipids in the same tissue section and associate these regions with clinical pathology.
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Affiliation(s)
- Brittney L Gorman
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Michael J Taylor
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Lia Tesfay
- Department of Molecular Biology and Biophysics, University of Connecticut Health, Farmington, Connecticut 06030, United States
| | - Jessica K Lukowski
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
- School of Medicine, Washington University in St. Louis, St. Louis, Missouri 63110, United States
| | - Poornima Hegde
- Department of Pathology and Laboratory Medicine, University of Connecticut Health, Farmington, 06030, Connecticut United States
| | - Josie G Eder
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Kent J Bloodsworth
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Jennifer E Kyle
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Suzy Torti
- Department of Molecular Biology and Biophysics, University of Connecticut Health, Farmington, Connecticut 06030, United States
| | - Christopher R Anderton
- Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
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6
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Abstract
Imaging mass spectrometry is a well-established technology that can easily and succinctly communicate the spatial localization of molecules within samples. This review communicates the recent advances in the field, with a specific focus on matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) applied on tissues. The general sample preparation strategies for different analyte classes are explored, including special considerations for sample types (fresh frozen or formalin-fixed,) strategies for various analytes (lipids, metabolites, proteins, peptides, and glycans) and how multimodal imaging strategies can leverage the strengths of each approach is mentioned. This work explores appropriate experimental design approaches and standardization of processes needed for successful studies, as well as the various data analysis platforms available to analyze data and their strengths. The review concludes with applications of imaging mass spectrometry in various fields, with a focus on medical research, and some examples from plant biology and microbe metabolism are mentioned, to illustrate the breadth and depth of MALDI IMS.
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Affiliation(s)
- Jessica L Moore
- Department of Proteomics, Discovery Life Sciences, Huntsville, Alabama 35806, United States
| | - Georgia Charkoftaki
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut 06520, United States
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7
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Barut I, Fletcher JS. Cell and tissue imaging by secondary ion mass spectrometry. Biointerphases 2023; 18:061202. [PMID: 38108477 DOI: 10.1116/6.0003140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Accepted: 11/20/2023] [Indexed: 12/19/2023] Open
Abstract
This Tutorial focuses on the use of secondary ion mass spectrometry for the analysis of cellular and tissue samples. The Tutorial aims to cover the considerations in sample preparation analytical set up and some specific aspects of data interpretation associated with such analysis.
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Affiliation(s)
- Inci Barut
- Department of Pharmacy, Basic Pharmaceutical Sciences, Gazi University, Ankara 06330, Turkey
| | - John S Fletcher
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg 413 90, Sweden
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Jia F, Zhao X, Zhao Y. Advancements in ToF-SIMS imaging for life sciences. Front Chem 2023; 11:1237408. [PMID: 37693171 PMCID: PMC10483116 DOI: 10.3389/fchem.2023.1237408] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2023] [Accepted: 08/14/2023] [Indexed: 09/12/2023] Open
Abstract
In the last 2 decades, Time-of-Flight Secondary Ion Mass Spectrometry (ToF-SIMS) has gained significant prominence as a powerful imaging technique in the field of life sciences. This comprehensive review provides an in-depth overview of recent advancements in ToF-SIMS instrument technology and its applications in metabolomics, lipidomics, and single-cell analysis. We highlight the use of ToF-SIMS imaging for studying lipid distribution, composition, and interactions in cells and tissues, and discuss its application in metabolomics, including the analysis of metabolic pathways. Furthermore, we review recent progress in single-cell analysis using ToF-SIMS, focusing on sample preparation techniques, in situ investigation for subcellular distribution of drugs, and interactions between drug molecules and biological targets. The high spatial resolution and potential for multimodal analysis of ToF-SIMS make it a promising tool for unraveling the complex molecular landscape of biological systems. We also discuss future prospects and potential advancements of ToF-SIMS in the research of life sciences, with the expectation of a significant impact in the field.
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Affiliation(s)
- Feifei Jia
- National Institutes for Food and Drug Control, Beijing, China
| | - Xia Zhao
- National Institutes for Food and Drug Control, Beijing, China
| | - Yao Zhao
- Beijing National Laboratory for Molecular Sciences, CAS Research/Education Center for Excellence in Molecular Sciences, CAS Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China
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9
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Kern C, Kern S, Henss A, Rohnke M. Secondary ion mass spectrometry for bone research. Biointerphases 2023; 18:041203. [PMID: 37489909 DOI: 10.1116/6.0002820] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Accepted: 06/29/2023] [Indexed: 07/26/2023] Open
Abstract
The purpose of this Tutorial is to highlight the suitability of time-of-flight secondary ion mass spectrometry (ToF-SIMS) and OrbiTrap™ SIMS (Orbi-SIMS) in bone research by introducing fundamentals and best practices of bone analysis with these mass spectrometric imaging (MSI) techniques. The Tutorial includes sample preparation, determination of best-suited measurement settings, data acquisition, and data evaluation, as well as a brief overview of SIMS applications in bone research in the current literature. SIMS is a powerful analytical technique that allows simultaneous analysis and visualization of mineralized and nonmineralized bone tissue, bone marrow as well as implanted biomaterials, and interfaces between bone and implants. Compared to histological staining, which is the standard analytical procedure in bone research, SIMS provides chemical imaging of nonstained bone sections that offers insights beyond what is conventionally obtained. The Tutorial highlights the versatility of ToF- and Orbi-SIMS in addressing important questions in bone research. By illustrating the value of these MSI techniques, it demonstrates how they can contribute to advance progress in bone research.
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Affiliation(s)
- Christine Kern
- Institute of Physical Chemistry, Justus Liebig University Giessen, Heinrich-Buff-Ring 17, Giessen 35392, Germany
| | - Stefanie Kern
- Institute of Physical Chemistry, Justus Liebig University Giessen, Heinrich-Buff-Ring 17, Giessen 35392, Germany
| | - Anja Henss
- Institute of Physical Chemistry, Justus Liebig University Giessen, Heinrich-Buff-Ring 17, Giessen 35392, Germany
- Center for Materials Research, Justus Liebig University Giessen, Heinrich-Buff-Ring 16, Giessen 35392, Germany
| | - Marcus Rohnke
- Institute of Physical Chemistry, Justus Liebig University Giessen, Heinrich-Buff-Ring 17, Giessen 35392, Germany
- Center for Materials Research, Justus Liebig University Giessen, Heinrich-Buff-Ring 16, Giessen 35392, Germany
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10
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King ME, Lin M, Spradlin M, Eberlin LS. Advances and Emerging Medical Applications of Direct Mass Spectrometry Technologies for Tissue Analysis. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2023; 16:1-25. [PMID: 36944233 DOI: 10.1146/annurev-anchem-061020-015544] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Offering superb speed, chemical specificity, and analytical sensitivity, direct mass spectrometry (MS) technologies are highly amenable for the molecular analysis of complex tissues to aid in disease characterization and help identify new diagnostic, prognostic, and predictive markers. By enabling detection of clinically actionable molecular profiles from tissues and cells, direct MS technologies have the potential to guide treatment decisions and transform sample analysis within clinical workflows. In this review, we highlight recent health-related developments and applications of direct MS technologies that exhibit tangible potential to accelerate clinical research and disease diagnosis, including oncological and neurodegenerative diseases and microbial infections. We focus primarily on applications that employ direct MS technologies for tissue analysis, including MS imaging technologies to map spatial distributions of molecules in situ as well as handheld devices for rapid in vivo and ex vivo tissue analysis.
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Affiliation(s)
- Mary E King
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
- Department of Surgery, Baylor College of Medicine, Houston, Texas, USA;
| | - Monica Lin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
| | - Meredith Spradlin
- Department of Chemistry, The University of Texas at Austin, Austin, Texas, USA;
| | - Livia S Eberlin
- Department of Surgery, Baylor College of Medicine, Houston, Texas, USA;
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11
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Costa C, De Jesus J, Nikula C, Murta T, Grime GW, Palitsin V, Dartois V, Firat K, Webb R, Bunch J, Bailey MJ. A Multimodal Desorption Electrospray Ionisation Workflow Enabling Visualisation of Lipids and Biologically Relevant Elements in a Single Tissue Section. Metabolites 2023; 13:metabo13020262. [PMID: 36837881 PMCID: PMC9964958 DOI: 10.3390/metabo13020262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2023] [Revised: 02/07/2023] [Accepted: 02/09/2023] [Indexed: 02/15/2023] Open
Abstract
The colocation of elemental species with host biomolecules such as lipids and metabolites may shed new light on the dysregulation of metabolic pathways and how these affect disease pathogeneses. Alkali metals have been the subject of extensive research, are implicated in various neurodegenerative and infectious diseases and are known to disrupt lipid metabolism. Desorption electrospray ionisation (DESI) is a widely used approach for molecular imaging, but previous work has shown that DESI delocalises ions such as potassium (K) and chlorine (Cl), precluding the subsequent elemental analysis of the same section of tissue. The solvent typically used for the DESI electrospray is a combination of methanol and water. Here we show that a novel solvent system, (50:50 (%v/v) MeOH:EtOH) does not delocalise elemental species and thus enables elemental mapping to be performed on the same tissue section post-DESI. Benchmarking the MeOH:EtOH electrospray solvent against the widely used MeOH:H2O electrospray solvent revealed that the MeOH:EtOH solvent yielded increased signal-to-noise ratios for selected lipids. The developed multimodal imaging workflow was applied to a lung tissue section containing a tuberculosis granuloma, showcasing its applicability to elementally rich samples displaying defined structural information.
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Affiliation(s)
- Catia Costa
- University of Surrey Ion Beam Centre, Guildford GU2 7XH, UK
| | - Janella De Jesus
- Department of Chemistry, University of Surrey, Guildford GU2 7XH, UK
- The National Physical Laboratory, Teddington TW11 0LW, UK
| | - Chelsea Nikula
- The National Physical Laboratory, Teddington TW11 0LW, UK
| | - Teresa Murta
- The National Physical Laboratory, Teddington TW11 0LW, UK
| | | | | | - Véronique Dartois
- Center for Discovery and Innovation, Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
| | - Kaya Firat
- Center for Discovery and Innovation, Hackensack Meridian School of Medicine, Nutley, NJ 07110, USA
| | - Roger Webb
- University of Surrey Ion Beam Centre, Guildford GU2 7XH, UK
| | | | - Melanie J. Bailey
- University of Surrey Ion Beam Centre, Guildford GU2 7XH, UK
- Department of Chemistry, University of Surrey, Guildford GU2 7XH, UK
- Correspondence: ; Tel.: +44-(0)1483682593
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12
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Hu H, Laskin J. Emerging Computational Methods in Mass Spectrometry Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2022; 9:e2203339. [PMID: 36253139 PMCID: PMC9731724 DOI: 10.1002/advs.202203339] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Revised: 09/17/2022] [Indexed: 05/10/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful analytical technique that generates maps of hundreds of molecules in biological samples with high sensitivity and molecular specificity. Advanced MSI platforms with capability of high-spatial resolution and high-throughput acquisition generate vast amount of data, which necessitates the development of computational tools for MSI data analysis. In addition, computation-driven MSI experiments have recently emerged as enabling technologies for further improving the MSI capabilities with little or no hardware modification. This review provides a critical summary of computational methods and resources developed for MSI data analysis and interpretation along with computational approaches for improving throughput and molecular coverage in MSI experiments. This review is focused on the recently developed artificial intelligence methods and provides an outlook for a future paradigm shift in MSI with transformative computational methods.
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Affiliation(s)
- Hang Hu
- Department of ChemistryPurdue University560 Oval DriveWest LafayetteIN47907USA
| | - Julia Laskin
- Department of ChemistryPurdue University560 Oval DriveWest LafayetteIN47907USA
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13
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Lukowski JK, Olson H, Velickovic M, Wang J, Kyle JE, Kim YM, Williams SM, Zhu Y, Huyck HL, McGraw MD, Poole C, Rogers L, Misra R, Alexandrov T, Ansong C, Pryhuber GS, Clair G, Adkins JN, Carson JP, Anderton CR. An optimized approach and inflation media for obtaining complimentary mass spectrometry-based omics data from human lung tissue. Front Mol Biosci 2022; 9:1022775. [PMID: 36465564 PMCID: PMC9709465 DOI: 10.3389/fmolb.2022.1022775] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/02/2022] [Indexed: 04/23/2024] Open
Abstract
Human disease states are biomolecularly multifaceted and can span across phenotypic states, therefore it is important to understand diseases on all levels, across cell types, and within and across microanatomical tissue compartments. To obtain an accurate and representative view of the molecular landscape within human lungs, this fragile tissue must be inflated and embedded to maintain spatial fidelity of the location of molecules and minimize molecular degradation for molecular imaging experiments. Here, we evaluated agarose inflation and carboxymethyl cellulose embedding media and determined effective tissue preparation protocols for performing bulk and spatial mass spectrometry-based omics measurements. Mass spectrometry imaging methods were optimized to boost the number of annotatable molecules in agarose inflated lung samples. This optimized protocol permitted the observation of unique lipid distributions within several airway regions in the lung tissue block. Laser capture microdissection of these airway regions followed by high-resolution proteomic analysis allowed us to begin linking the lipidome with the proteome in a spatially resolved manner, where we observed proteins with high abundance specifically localized to the airway regions. We also compared our mass spectrometry results to lung tissue samples preserved using two other inflation/embedding media, but we identified several pitfalls with the sample preparation steps using this preservation method. Overall, we demonstrated the versatility of the inflation method, and we can start to reveal how the metabolome, lipidome, and proteome are connected spatially in human lungs and across disease states through a variety of different experiments.
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Affiliation(s)
| | - Heather Olson
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Marija Velickovic
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Juan Wang
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Jennifer E. Kyle
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Young-Mo Kim
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Sarah M. Williams
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Ying Zhu
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Heidi L. Huyck
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Matthew D. McGraw
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Cory Poole
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Lisa Rogers
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Ravi Misra
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Theodore Alexandrov
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Charles Ansong
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Gloria S. Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Geremy Clair
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Joshua N. Adkins
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - James P. Carson
- Texas Advanced Computing Center (TACC), University of Texas at Austin, Austin, TX, United States
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14
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Xia MC, Cai L, Xu F, Zhan Q, Feng J, Guo C, Li Q, Li Z. Whole-body chemical imaging of Cordyceps sinensis by TOF-SIMS to visualize spatial differentiation of ergosterol and other active components. Microchem J 2022. [DOI: 10.1016/j.microc.2022.107303] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
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15
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Angerer TB, Bour J, Biagi JL, Moskovets E, Frache G. Evaluation of 6 MALDI-Matrices for 10 μm Lipid Imaging and On-Tissue MSn with AP-MALDI-Orbitrap. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:760-771. [PMID: 35358390 PMCID: PMC9074099 DOI: 10.1021/jasms.1c00327] [Citation(s) in RCA: 28] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
Mass spectrometry imaging is a technique uniquely suited to localize and identify lipids in a tissue sample. Using an atmospheric pressure (AP-) matrix-assisted laser desorption ionization (MALDI) source coupled to an Orbitrap Elite, numerous lipid locations and structures can be determined in high mass resolution spectra and at cellular spatial resolution, but careful sample preparation is necessary. We tested 11 protocols on serial brain sections for the commonly used MALDI matrices CHCA, norharmane, DHB, DHAP, THAP, and DAN in combination with tissue washing and matrix additives to determine the lipid coverage, signal intensity, and spatial resolution achievable with AP-MALDI. In positive-ion mode, the most lipids could be detected with CHCA and THAP, while THAP and DAN without additional treatment offered the best signal intensities. In negative-ion mode, DAN showed the best lipid coverage and DHAP performed superiorly for gangliosides. DHB produced intense cholesterol signals in the white matter. One hundred fifty-five lipids were assigned in positive-ion mode (THAP) and 137 in negative-ion mode (DAN), and 76 peaks were identified using on-tissue tandem-MS. The spatial resolution achievable with DAN was 10 μm, confirmed with on tissue line-scans. This enabled the association of lipid species to single neurons in AP-MALDI images. The results show that the performance of AP-MALDI is comparable to vacuum MALDI techniques for lipid imaging.
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Affiliation(s)
- Tina B. Angerer
- Luxembourg
Institute of Science and Technology (LIST), Advanced Characterization platform, Materials Research
and Technology, 41, rue
du Brill, L-4422 Belvaux, Luxembourg
| | - Jerome Bour
- Luxembourg
Institute of Science and Technology (LIST), Advanced Characterization platform, Materials Research
and Technology, 41, rue
du Brill, L-4422 Belvaux, Luxembourg
| | - Jean-Luc Biagi
- Luxembourg
Institute of Science and Technology (LIST), Advanced Characterization platform, Materials Research
and Technology, 41, rue
du Brill, L-4422 Belvaux, Luxembourg
| | | | - Gilles Frache
- Luxembourg
Institute of Science and Technology (LIST), Advanced Characterization platform, Materials Research
and Technology, 41, rue
du Brill, L-4422 Belvaux, Luxembourg
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16
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Mass spectrometry imaging and its potential in food microbiology. Int J Food Microbiol 2022; 371:109675. [DOI: 10.1016/j.ijfoodmicro.2022.109675] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2022] [Revised: 03/23/2022] [Accepted: 04/04/2022] [Indexed: 11/20/2022]
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17
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Lin M, Eberlin LS, Seeley EH. Reduced Hemoglobin Signal and Improved Detection of Endogenous Proteins in Blood-Rich Tissues for MALDI Mass Spectrometry Imaging. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:296-303. [PMID: 35061381 PMCID: PMC9041275 DOI: 10.1021/jasms.1c00300] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
Mass spectrometry imaging provides a powerful approach for the direct analysis and spatial visualization of molecules in tissue sections. Using matrix-assisted laser desorption/ionization mass spectrometry, intact protein imaging has been widely investigated for biomarker analysis and diagnosis in a variety of tissue types and diseases. However, blood-rich or highly vascular tissues present a challenge in molecular imaging due to the high ionization efficiency of hemoglobin, which leads to ion suppression of endogenous proteins. Here, we describe a protocol to selectively reduce hemoglobin signal in blood-rich tissues that can easily be integrated into mass spectrometry imaging workflows.
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Affiliation(s)
- Monica Lin
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712
| | - Livia S. Eberlin
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712
- Department of Surgery, Baylor College of Medicine, Houston, TX 77030
- to whom correspondence may be addressed: ,
| | - Erin H. Seeley
- Department of Chemistry, The University of Texas at Austin, Austin, TX 78712
- to whom correspondence may be addressed: ,
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18
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Spampinato V, Franquet A, De Simone D, Pollentier I, Pirkl A, Oka H, van der Heide P. SIMS Analysis of Thin EUV Photoresist Films. Anal Chem 2022; 94:2408-2415. [PMID: 35076209 DOI: 10.1021/acs.analchem.1c04012] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
This study reports on the application of secondary ion mass spectrometry (SIMS) for examining thin (20-50 nm) chemically amplified resist films on silicon. SIMS depth profiling was carried out using a gas cluster ion beam to ensure minimal sputter-induced damage to the organic constituents of interest. Specific attention concerned the distribution of the photo acid generator (PAG) molecule within these films, along with the photo-induced fragmentation occurring on extreme ultra-violet photo exposure. Positive secondary ion spectra were collected using a traditional time of flight (ToF)-SIMS and the latest generation IONTOF Hybrid SIMS instrumentation equipped with an OrbitrapTM mass analyzer. Tandem mass spectrometry (MS/MS) capability within the OrbitrapTM secondary ion column was utilized to verify that the C19H17S+ secondary ion did indeed have the molecular structure consistent with the PAG structure. The superior mass resolving power of the OrbitrapTM mass analyzer (∼20× of the ToF mass analyzer) along with improved mass accuracy (a few ppm) proved pivotal in the mass spectral and depth profile analysis of these films. This was not the case for the ToF-SIMS experiments, as the mass spectra, as well as the associated depth profiles, exhibited severe molecular (isobaric) interferences.
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Affiliation(s)
| | | | | | | | | | - Hironori Oka
- Electronic Materials Research Laboratories, FUJIFILM Corporation, 421-0396 Shizuoka, Japan
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19
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Matjacic L, Seah MP, Trindade GF, Pirkl A, Havelund R, Vorng J, Niehuis E, Gilmore IS. OrbiSIMS metrology Part I: Optimisation of the target potential and collision cell pressure. SURF INTERFACE ANAL 2022. [DOI: 10.1002/sia.7058] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Affiliation(s)
- Lidija Matjacic
- National Physical Laboratory, NiCE‐MSI, Teddington Middlesex UK
| | - Martin P. Seah
- National Physical Laboratory, NiCE‐MSI, Teddington Middlesex UK
| | | | | | - Rasmus Havelund
- National Physical Laboratory, NiCE‐MSI, Teddington Middlesex UK
| | - Jean‐Luc Vorng
- National Physical Laboratory, NiCE‐MSI, Teddington Middlesex UK
| | | | - Ian S. Gilmore
- National Physical Laboratory, NiCE‐MSI, Teddington Middlesex UK
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20
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Van Nuffel S, Brunelle A. TOF-SIMS Imaging of Biological Tissue Sections and Structural Determination Using Tandem MS. Methods Mol Biol 2022; 2437:77-86. [PMID: 34902141 DOI: 10.1007/978-1-0716-2030-4_5] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Over the past couple of years, imaging mass spectrometry (IMS) has arisen as a powerful tool to answer research questions in the biomedical field. Imaging mass spectrometry allows for label-free chemical imaging by providing full molecular information. The IMS technique best positioned for cell and tissue analysis is time-of-flight secondary ion mass spectrometry (ToF-SIMS) because it has the best spatial resolution of all the molecular IMS techniques and can detect many biochemical species and especially lipids with high sensitivity. Because one must rely on the mass and isotopic pattern of an ion in combination with positive correlations with lower mass fragments to help identify its structure, one major problem during ToF-SIMS experiments is the ambiguity when assigning a molecule to a certain mass peak. The solution are instruments with tandem MS capabilities as was already the case for many MALDI-ToF instruments more than a decade ago. It has been a few years since instruments with this capability were introduced and a number of interesting publications have been produced highlighting the advantages in biological SIMS work. Here, we present a protocol describing how tandem MS can be used to elucidate the structure of unknown or ambiguous mass peaks in biological tissue samples observed during ToF-SIMS imaging based on our experiences.
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Affiliation(s)
- Sebastiaan Van Nuffel
- Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands
- Maastricht MultiModal Molecular Imaging Institute (M4i), Maastricht University, Maastricht, The Netherlands
| | - Alain Brunelle
- Sorbonne Université, CNRS, Laboratoire d'Archéologie Moléculaire et Structurale, LAMS, Paris, France.
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21
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Bouvier C, Van Nuffel S, Walter P, Brunelle A. Time-of-flight secondary ion mass spectrometry imaging in cultural heritage: A focus on old paintings. JOURNAL OF MASS SPECTROMETRY : JMS 2022; 57:e4803. [PMID: 34997666 DOI: 10.1002/jms.4803] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Revised: 12/06/2021] [Accepted: 12/13/2021] [Indexed: 06/14/2023]
Abstract
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) imaging is a surface analysis technique that identifies and spatially resolves the chemical composition of a sample with a lateral resolution of less than 1 μm. Depth analyses can also be performed over thicknesses of several microns. In the case of a painting cross section, for example, TOF-SIMS can identify the organic composition, by detecting molecular ions and fragments of binders, as well as the mineral composition of most of the pigments. Importantly, the technique is almost not destructive and is therefore increasingly used in cultural heritage research such as the analysis of painting samples, especially old paintings. In this review, state of the art of TOF-SIMS analysis methods will be described with a particular focus on tuning the instruments for the analysis of painting cross sections and with several examples from the literature showing the added value of this technique when studying cultural heritage samples.
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Affiliation(s)
- Caroline Bouvier
- Sorbonne Université, CNRS, Laboratoire d'Archéologie Moléculaire et Structurale (LAMS), Paris, France
| | - Sebastiaan Van Nuffel
- M4I, Faculty of Science and Engineering, Maastricht University, Maastricht, The Netherlands
| | - Philippe Walter
- Sorbonne Université, CNRS, Laboratoire d'Archéologie Moléculaire et Structurale (LAMS), Paris, France
| | - Alain Brunelle
- Sorbonne Université, CNRS, Laboratoire d'Archéologie Moléculaire et Structurale (LAMS), Paris, France
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22
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Cancer Tissue Classification Using Supervised Machine Learning Applied to MALDI Mass Spectrometry Imaging. Cancers (Basel) 2021; 13:cancers13215388. [PMID: 34771551 PMCID: PMC8582378 DOI: 10.3390/cancers13215388] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2021] [Revised: 10/15/2021] [Accepted: 10/24/2021] [Indexed: 01/13/2023] Open
Abstract
Simple Summary Classic histopathological examination of tissues remains the mainstay for cancer diagnosis and staging. However, in some cases histopathologic analysis yields ambiguous results, leading to inconclusive disease classification. We set out to explore the diagnostic potential of mass spectrometry-based imaging for tumour classification based on proteomic fingerprints. Combining mass spectrometry with supervised machine learning, we were able to distinguish colorectal tumor from normal tissue with an overall accuracy of 98%. In addition, this approach was able to predict the presence of lymph node metastasis in primary tumour of endometrial cancer with an overall accuracy of 80%. These results highlight the potential of this technology to determine the optimal treatment for cancer patients to reduce morbidity and improve patients’ outcomes. Abstract Matrix assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) can determine the spatial distribution of analytes such as protein distributions in a tissue section according to their mass-to-charge ratio. Here, we explored the clinical potential of machine learning (ML) applied to MALDI MSI data for cancer diagnostic classification using tissue microarrays (TMAs) on 302 colorectal (CRC) and 257 endometrial cancer (EC)) patients. ML based on deep neural networks discriminated colorectal tumour from normal tissue with an overall accuracy of 98% in balanced cross-validation (98.2% sensitivity and 98.6% specificity). Moreover, our machine learning approach predicted the presence of lymph node metastasis (LNM) for primary tumours of EC with an accuracy of 80% (90% sensitivity and 69% specificity). Our results demonstrate the capability of MALDI MSI for complementing classic histopathological examination for cancer diagnostic applications.
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23
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Rodimova SA, Kuznetsova DS, Bobrov NV, Gulin AA, Vasin AA, Gubina MV, Scheslavsky VI, Elagin VV, Karabut MM, Zagainov VE, Zagaynova EV. Multiphoton Microscopy and Mass Spectrometry for Revealing Metabolic Heterogeneity of Hepatocytes in vivo. Sovrem Tekhnologii Med 2021; 13:18-29. [PMID: 34513073 PMCID: PMC8353720 DOI: 10.17691/stm2021.13.2.02] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2020] [Indexed: 12/12/2022] Open
Abstract
The aim of the investigation was to study the possibility of revealing the heterogeneity of normal liver hepatocytes in terms of metabolic status using the modern methods of multiphoton microscopy and mass spectrometry.
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Affiliation(s)
- S A Rodimova
- Junior Researcher, Laboratory of Regenerative Medicine, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia; PhD Student, Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhni Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603950, Russia
| | - D S Kuznetsova
- Researcher, Laboratory of Regenerative Medicine, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - N V Bobrov
- Assistant, Department of Theoretical Surgery and Transplantology, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia; Surgeon, Oncology Department, Volga District Medical Centre of Federal Medical Biological Agency of Russia, 14 Ilyinskaya St., Nizhny Novgorod, 603109, Russia
| | - A A Gulin
- Senior Researcher, Acting Head of the Laboratory of Biophotonics, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 4 Kosygina St., Moscow, 119991, Russia; Researcher, Faculty of Chemistry, Lomonosov Moscow State University, 1 Leninskiye Gory, Moscow, 119991, Russia
| | - A A Vasin
- Research Engineer, Laboratory of Nanophotonics, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 4 Kosygina St., Moscow, 119991, Russia; Student, Faculty of Chemistry, Lomonosov Moscow State University, 1 Leninskiye Gory, Moscow, 119991, Russia
| | - M V Gubina
- Research Engineer, Laboratory of Nanophotonics, N.N. Semenov Federal Research Center for Chemical Physics, Russian Academy of Sciences, 4 Kosygina St., Moscow, 119991, Russia; Student, Phystech School of Electronics, Photonics and Molecular Physics, Moscow Institute of Physics and Technology (National Research University), 9 Institutskiy per., Dolgoprudny, Moscow Region, 141701, Russia
| | - V I Scheslavsky
- Senior Researcher, Becker & Hickl, GmbH, Nunsdorfer Ring 7-9, Berlin, 12277, Germany; Head of the Laboratory of High-Resolution Microscopy, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - V V Elagin
- Researcher, Laboratory of High-Resolution Microscopy, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - M M Karabut
- Researcher, Laboratory of Genomics and Adaptive Antitumor Immunity, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
| | - V E Zagainov
- Head of the Department of Theoretical Surgery and Transplantology, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia; Chief Specialist in Surgery, Volga District Medical Centre of Federal Medical Biological Agency of Russia, 14 Ilyinskaya St., Nizhny Novgorod, 603109, Russia
| | - E V Zagaynova
- Rector, National Research Lobachevsky State University of Nizhni Novgorod, 23 Prospekt Gagarina, Nizhny Novgorod, 603950, Russia; Senior Researcher, Research Institute of Experimental Oncology and Biomedical Technologies, Privolzhsky Research Medical University, 10/1 Minin and Pozharsky Square, Nizhny Novgorod, 603005, Russia
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24
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Zemaitis KJ, Izydorczak AM, Thompson AC, Wood TD. Streamlined Multimodal DESI and MALDI Mass Spectrometry Imaging on a Singular Dual-Source FT-ICR Mass Spectrometer. Metabolites 2021; 11:metabo11040253. [PMID: 33923908 PMCID: PMC8073082 DOI: 10.3390/metabo11040253] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 04/18/2021] [Accepted: 04/19/2021] [Indexed: 12/16/2022] Open
Abstract
The study of biological specimens by mass spectrometry imaging (MSI) has had a profound influence in the various forms of spatial-omics over the past two decades including applications for the identification of clinical biomarker analysis; the metabolic fingerprinting of disease states; treatment with therapeutics; and the profiling of lipids, peptides and proteins. No singular approach is able to globally map all biomolecular classes simultaneously. This led to the development of many complementary multimodal imaging approaches to solve analytical problems: fusing multiple ionization techniques, imaging microscopy or spectroscopy, or local extractions into robust multimodal imaging methods. However, each fusion typically requires the melding of analytical information from multiple commercial platforms, and the tandem utilization of multiple commercial or third-party software platforms—even in some cases requiring computer coding. Herein, we report the use of matrix-assisted laser desorption/ionization (MALDI) in tandem with desorption electrospray ionization (DESI) imaging in the positive ion mode on a singular commercial orthogonal dual-source Fourier transform ion cyclotron resonance (FT-ICR) instrument for the complementary detection of multiple analyte classes by MSI from tissue. The DESI source was 3D printed and the commercial Bruker Daltonics software suite was used to generate mass spectrometry images in tandem with the commercial MALDI source. This approach allows for the generation of multiple modes of mass spectrometry images without the need for third-party software and a customizable platform for ambient ionization imaging. Highlighted is the streamlined workflow needed to obtain phospholipid profiles, as well as increased depth of coverage of both annotated phospholipid, cardiolipin, and ganglioside species from rat brain with both high spatial and mass resolution.
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Affiliation(s)
- Kevin J. Zemaitis
- Department of Chemistry, Natural Sciences Complex, University at Buffalo, State University of New York, Buffalo, NY 14260, USA; (K.J.Z.); (A.M.I.)
| | - Alexandra M. Izydorczak
- Department of Chemistry, Natural Sciences Complex, University at Buffalo, State University of New York, Buffalo, NY 14260, USA; (K.J.Z.); (A.M.I.)
| | - Alexis C. Thompson
- Department of Psychology, Park Hall, University at Buffalo, State University of New York, Buffalo, NY 14260, USA;
| | - Troy D. Wood
- Department of Chemistry, Natural Sciences Complex, University at Buffalo, State University of New York, Buffalo, NY 14260, USA; (K.J.Z.); (A.M.I.)
- Correspondence:
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25
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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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