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Joly-Tonetti N, Legouffe R, Tomezyk A, Gumez C, Gaudin M, Bonnel D, Schaller M. Penetration Profiles of Four Topical Antifungals in Mycotic Human Toenails Quantified by Matrix-Assisted Laser Desorption Ionization-Fourier Transform Ion Cyclotron Resonance Imaging. Infect Dis Ther 2024; 13:1269-1279. [PMID: 38704491 PMCID: PMC11128420 DOI: 10.1007/s40121-024-00978-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 04/12/2024] [Indexed: 05/06/2024] Open
Abstract
INTRODUCTION Onychomycosis is a fungal infection of the nails that can be challenging to treat. Here, matrix-assisted laser desorption ionization-Fourier transform ion cyclotron resonance (MALDI-FTICR) imaging was applied to the quantitative analysis of the penetration profile of the antifungal compound, amorolfine, in human mycotic toenails. The amorolfine profile was compared with those of three other antifungals, ciclopirox, naftifine, and tioconazole. METHODS Antifungal compounds (amorolfine 5% lacquer, ciclopirox 8% lacquer, naftifine 1% solution, and tioconazole 28% solution) were applied to mycotic nails (n = 42). Nail sections were prepared, and MALDI-FTICR analysis was performed on the sections at a spatial resolution of 70 μm to compare the distribution profiles. Based on the minimum inhibitory concentrations of the four test compounds needed to kill 90% (MIC90) of the fungal organism, Trichophyton rubrum, the fold differences between the MIC90 and the antifungal concentrations in the nails (termed the multiplicity of the MIC90) were calculated for each. RESULTS The penetration profiles indicated higher concentrations of amorolfine and ciclopirox in the deeper layers of the nails 3 h after treatment, compared with naftifine and tioconazole. The mean concentrations across the entire nail sections at 3 h were significantly different among the four antifungals: amorolfine, 2.46 mM; ciclopirox, 0.95 mM; naftifine, 0.63 mM; and tioconazole, 1.36 mM (p = 0.016; n = 8 per compound). The median multiplicity of the MIC90 at 3 h was 191-fold for amorolfine, tenfold for ciclopirox, 52-fold for naftifine, and 208-fold for tioconazole. CONCLUSION In this study, MALDI-FTICR was successfully applied to the quantitative analysis of antifungal distribution in human mycotic nails. The findings suggest that amorolfine penetrates deeper layers of the nail and accumulates at concentrations far exceeding the MIC needed to exert antimycotic activity.
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Affiliation(s)
| | - Raphael Legouffe
- Aliri, Parc Eurasanté, 152 Rue du Dr Yersin, 59120, Loos, France
| | - Aurore Tomezyk
- Aliri, Parc Eurasanté, 152 Rue du Dr Yersin, 59120, Loos, France
| | - Clémence Gumez
- Aliri, Parc Eurasanté, 152 Rue du Dr Yersin, 59120, Loos, France
| | - Mathieu Gaudin
- Aliri, Parc Eurasanté, 152 Rue du Dr Yersin, 59120, Loos, France
| | - David Bonnel
- Aliri, Parc Eurasanté, 152 Rue du Dr Yersin, 59120, Loos, France
| | - Martin Schaller
- Department of Dermatology, Eberhard-Karls-University, Liebermeisterstr. 25, 72076, Tübingen, Germany
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Spencer CE, Duckett CJ, Rumbelow S, Clench MR. The Adaptation of the QV600 LLI Milli-Fluidics System to House Ex Vivo Gastrointestinal Tissue Suitable for Drug Absorption and Permeation Studies, Utilizing MALDI MSI and LC-MS/MS. Methods Mol Biol 2023; 2688:71-82. [PMID: 37410285 DOI: 10.1007/978-1-0716-3319-9_7] [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
Careful formulation of pharmaceuticals for oral delivery is essential to ensure that the optimal amount of the active ingredient reaches its intended site of action. This chapter demonstrates how mass spectrometry can be used in conjunction with ex vivo tissue and an adapted milli-fluidics system to carry out a drug absorption study. MALDI MSI is used to visualize the drug within the small intestine tissue from the absorption experimentation. LC-MS/MS is used to complete a mass balance of the experiment and quantify the amount of drug that has permeated through the tissue.
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Affiliation(s)
- Chloe E Spencer
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | - Catherine J Duckett
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK
| | | | - Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Sheffield, UK.
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Chen Y, Xie Y, Li L, Wang Z, Yang L. Advances in mass spectrometry imaging for toxicological analysis and safety evaluation of pharmaceuticals. MASS SPECTROMETRY REVIEWS 2022:e21807. [PMID: 36146929 DOI: 10.1002/mas.21807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/27/2022] [Accepted: 08/08/2022] [Indexed: 06/16/2023]
Abstract
Safety issues caused by pharmaceuticals have frequently occurred worldwide, posing a tremendous threat to human health. As an essential part of drug development, the toxicological analysis and safety evaluation is of great significance. In addition, the risk of pharmaceuticals accumulation in the environment and the monitoring of the toxicity from natural medicines have also received ongoing concerns. Due to a lack of spatial distribution information provided by common analytical methods, analyses that provide spatial dimensions could serve as complementary safety evaluation methods for better prediction and evaluation of drug toxicity. With advances in technical solutions and software algorithms, mass spectrometry imaging (MSI) has received increasing attention as a popular analytical tool that enables the simultaneous implementation of qualitative, quantitative, and localization without complex sample pretreatment and labeling steps. In recent years, MSI has become more attractive, powerful, and sensitive and has been applied in several scientific fields that can meet the safety assessment requirements. This review aims to cover a detailed summary of the various MSI technologies utilized in the biomedical and pharmaceutical area, including technical principles, advantages, current status, and future trends. Representative applications and developments in the safety-related issues of different pharmaceuticals and natural medicines are also described to provide a reference for pharmaceutical research, improve rational clinical medicine use, and ensure public safety.
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Affiliation(s)
- Yilin Chen
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yanqiao Xie
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Linnan Li
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhengtao Wang
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li Yang
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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4
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Costamagna G, Comi GP, Corti S. Advancing Drug Discovery for Neurological Disorders Using iPSC-Derived Neural Organoids. Int J Mol Sci 2021; 22:ijms22052659. [PMID: 33800815 PMCID: PMC7961877 DOI: 10.3390/ijms22052659] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Revised: 03/01/2021] [Accepted: 03/03/2021] [Indexed: 12/15/2022] Open
Abstract
In the last decade, different research groups in the academic setting have developed induced pluripotent stem cell-based protocols to generate three-dimensional, multicellular, neural organoids. Their use to model brain biology, early neural development, and human diseases has provided new insights into the pathophysiology of neuropsychiatric and neurological disorders, including microcephaly, autism, Parkinson’s disease, and Alzheimer’s disease. However, the adoption of organoid technology for large-scale drug screening in the industry has been hampered by challenges with reproducibility, scalability, and translatability to human disease. Potential technical solutions to expand their use in drug discovery pipelines include Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR) to create isogenic models, single-cell RNA sequencing to characterize the model at a cellular level, and machine learning to analyze complex data sets. In addition, high-content imaging, automated liquid handling, and standardized assays represent other valuable tools toward this goal. Though several open issues still hamper the full implementation of the organoid technology outside academia, rapid progress in this field will help to prompt its translation toward large-scale drug screening for neurological disorders.
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Affiliation(s)
- Gianluca Costamagna
- Dino Ferrari Centre, Department of Pathophysiology and Transplantation (DEPT), Neuroscience Section, University of Milan, 20122 Milan, Italy; (G.C.); (G.P.C.)
- IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Neurology Unit, Via Francesco Sforza 35, 20122 Milan, Italy
| | - Giacomo Pietro Comi
- Dino Ferrari Centre, Department of Pathophysiology and Transplantation (DEPT), Neuroscience Section, University of Milan, 20122 Milan, Italy; (G.C.); (G.P.C.)
- IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Neurology Unit, Via Francesco Sforza 35, 20122 Milan, Italy
| | - Stefania Corti
- Dino Ferrari Centre, Department of Pathophysiology and Transplantation (DEPT), Neuroscience Section, University of Milan, 20122 Milan, Italy; (G.C.); (G.P.C.)
- IRCCS Foundation Ca’ Granda Ospedale Maggiore Policlinico, Neurology Unit, Via Francesco Sforza 35, 20122 Milan, Italy
- Correspondence:
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Decarli MC, do Amaral RLF, Dos Santos DP, Tofani LB, Katayama E, Rezende RA, Silva JVLD, Swiech K, Suazo CAT, Mota C, Moroni L, Moraes ÂM. Cell spheroids as a versatile research platform: formation mechanisms, high throughput production, characterization and applications. Biofabrication 2021; 13. [PMID: 33592595 DOI: 10.1088/1758-5090/abe6f2] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2020] [Accepted: 02/16/2021] [Indexed: 11/12/2022]
Abstract
Three-dimensional cell culture has tremendous advantages to closely mimic the in vivo architecture and microenvironment of healthy tissue and organs, as well as of solid tumors. Spheroids are currently the most attractive 3D model to produce uniform reproducible cell structures as well as a potential basis for engineering large tissues and complex organs. In this review we discuss, from an engineering perspective, processes to obtain uniform 3D cell spheroids, comparing dynamic and static cultures and considering aspects such as mass transfer and shear stress. In addition, computational and mathematical modelling of complex cell spheroid systems are discussed. The non-cell-adhesive hydrogel-based method and dynamic cell culture in bioreactors are focused in detail and the myriad of developed spheroid characterization techniques is presented. The main bottlenecks and weaknesses are discussed, especially regarding the analysis of morphological parameters, cell quantification and viability, gene expression profiles, metabolic behavior and high-content analysis. Finally, a vast set of applications of spheroids as tools for in vitro study model systems is examined, including drug screening, tissue formation, pathologies development, tissue engineering and biofabrication, 3D bioprinting and microfluidics, together with their use in high-throughput platforms.
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Affiliation(s)
- Monize Caiado Decarli
- School of Chemical Engineering/Department of Engineering of Materials and of Bioprocesses, University of Campinas, Av. Albert Einstein, 500 - Bloco A - Cidade Universitária Zeferino Vaz, Cidade Universitária Zeferino Vaz, Campinas, SP, 13083-852, BRAZIL
| | - Robson Luis Ferraz do Amaral
- School of Pharmaceutical Sciences of Ribeirão Preto/Department of Pharmaceutical Sciences, University of São Paulo, Avenida do Café, no number, Ribeirão Preto, SP, 14040-903, BRAZIL
| | - Diogo Peres Dos Santos
- Departament of Chemical Engineering, Federal University of São Carlos, Rod. Washington Luiz (SP-310), km 235, São Carlos, SP, 13565-905, BRAZIL
| | - Larissa Bueno Tofani
- School of Pharmaceutical Sciences of Ribeirão Preto/Department of Pharmaceutical Sciences, University of São Paulo, Avenida do Café, no number, Ribeirão Preto, SP, 14040-903, BRAZIL
| | - Eric Katayama
- Departament of Chemical Engineering, Federal University of São Carlos, Rod. Washington Luiz (SP-310), km 235, São Carlos, SP, 13565-905, BRAZIL
| | - Rodrigo Alvarenga Rezende
- Centro de Tecnologia da Informacao Renato Archer, Rod. Dom Pedro I (SP-65), km 143,6 - Amarais, Campinas, SP, 13069-901, BRAZIL
| | - Jorge Vicente Lopes da Silva
- Centro de Tecnologia da Informacao Renato Archer, Rod. Dom Pedro I (SP-65), km 143,6 - Amarais, Campinas, SP, 13069-901, BRAZIL
| | - Kamilla Swiech
- University of Sao Paulo, School of Pharmaceutical Sciences of Ribeirão Preto/Department of Pharmaceutical Sciences, Ribeirao Preto, SP, 14040-903, BRAZIL
| | - Cláudio Alberto Torres Suazo
- Department of Chemical Engineering, Federal University of São Carlos, Rod. Washington Luiz (SP-310), km 235, São Carlos, SP, 13565-905, BRAZIL
| | - Carlos Mota
- Department of Complex Tissue Regeneration (CTR), University of Maastricht , Universiteitssingel, 40, office 3.541A, Maastricht, 6229 ER, NETHERLANDS
| | - Lorenzo Moroni
- Complex Tissue Regeneration, Maastricht University, Universiteitsingel, 40, Maastricht, 6229ER, NETHERLANDS
| | - Ângela Maria Moraes
- School of Chemical Engineering/Department of Engineering of Materials and of Bioprocesses, University of Campinas, Av. Albert Einstein, 500 - Bloco A - Cidade Universitária Zeferino Vaz, Campinas, SP, 13083-852, BRAZIL
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6
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Klein O, Haeckel A, Reimer U, Nebrich G, Schellenberger E. Multiplex enzyme activity imaging by MALDI-IMS of substrate library conversions. Sci Rep 2020; 10:15522. [PMID: 32968143 PMCID: PMC7511933 DOI: 10.1038/s41598-020-72436-2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2020] [Accepted: 08/14/2020] [Indexed: 01/05/2023] Open
Abstract
Enzymes are fundamental to biological processes and involved in most pathologies. Here we demonstrate the concept of simultaneously mapping multiple enzyme activities (EA) by applying enzyme substrate libraries to tissue sections and analyzing their conversion by matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS). To that end, we spray-applied a solution of 20 naturally derived peptides that are known substrates for proteases, kinases, and phosphatases to zinc-fixed paraffin tissue sections of mouse kidneys. After enzyme conversion for 5 to 120 min at 37 °C and matrix application, the tissue sections were imaged by MALDI-IMS. We could image incubation time-dependently 16 of the applied substrates with differing signal intensities and 12 masses of expected products. Utilizing inherent enzyme amplification, EA-IMS can become a powerful tool to locally study multiple, potentially even lowly expressed, enzyme activities, networks, and their pharmaceutical modulation. Differences in the substrate detectability highlight the need for future optimizations.
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Affiliation(s)
- Oliver Klein
- Berlin-Brandenburg Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Akvile Haeckel
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany
| | - Ulf Reimer
- JPT Peptide Technologies GmbH, Volmerstraße 5, 12489, Berlin, Germany
| | - Grit Nebrich
- Berlin-Brandenburg Center for Regenerative Therapies, Charité - Universitätsmedizin Berlin, Augustenburger Platz 1, 13353, Berlin, Germany
| | - Eyk Schellenberger
- Department of Radiology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.
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7
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Flint LE, Hamm G, Ready JD, Ling S, Duckett CJ, Cross NA, Cole LM, Smith DP, Goodwin RJA, Clench MR. Characterization of an Aggregated Three-Dimensional Cell Culture Model by Multimodal Mass Spectrometry Imaging. Anal Chem 2020; 92:12538-12547. [PMID: 32786495 PMCID: PMC7497704 DOI: 10.1021/acs.analchem.0c02389] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
![]()
Mass
spectrometry imaging (MSI) is an established analytical tool
capable of defining and understanding complex tissues by determining
the spatial distribution of biological molecules. Three-dimensional
(3D) cell culture models mimic the pathophysiological environment
of in vivo tumors and are rapidly emerging as a valuable
research tool. Here, multimodal MSI techniques were employed to characterize
a novel aggregated 3D lung adenocarcinoma model, developed by the
group to mimic the in vivo tissue. Regions of tumor
heterogeneity and the hypoxic microenvironment were observed based
on the spatial distribution of a variety of endogenous molecules.
Desorption electrospray ionization (DESI)-MSI defined regions of a
hypoxic core and a proliferative outer layer from metabolite distribution.
Targeted metabolites (e.g., lactate, glutamine, and citrate) were
mapped to pathways of glycolysis and the TCA cycle demonstrating tumor
metabolic behavior. The first application of imaging mass cytometry
(IMC) with 3D cell culture enabled single-cell phenotyping at 1 μm
spatial resolution. Protein markers of proliferation (Ki-67) and hypoxia (glucose transporter 1) defined metabolic
signaling in the aggregoid model, which complemented the metabolite
data. Laser ablation inductively coupled plasma (LA-ICP)-MSI analysis
localized endogenous elements including magnesium and copper, further
differentiating the hypoxia gradient and validating the protein expression.
Obtaining a large amount of molecular information on a complementary
nature enabled an in-depth understanding of the biological processes
within the novel tumor model. Combining powerful imaging techniques
to characterize the aggregated 3D culture highlighted a future methodology
with potential applications in cancer research and drug development.
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Affiliation(s)
- Lucy E Flint
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, United Kingdom
| | - Gregory Hamm
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Darwin Building, Cambridge Science Park, Milton Road, Cambridge, Cambridgeshire CB4 0WG, United Kingdom
| | - Joseph D Ready
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, United Kingdom
| | - Stephanie Ling
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Darwin Building, Cambridge Science Park, Milton Road, Cambridge, Cambridgeshire CB4 0WG, United Kingdom
| | - Catherine J Duckett
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, United Kingdom
| | - Neil A Cross
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, United Kingdom
| | - Laura M Cole
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, United Kingdom
| | - David P Smith
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, United Kingdom
| | - Richard J A Goodwin
- Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, BioPharmaceuticals R&D, AstraZeneca, Darwin Building, Cambridge Science Park, Milton Road, Cambridge, Cambridgeshire CB4 0WG, United Kingdom.,Institute of Infection, Immunity and Inflammation, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow G12 8QQ, United Kingdom
| | - Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, United Kingdom
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Havlikova J, May RC, Styles IB, Cooper HJ. Direct identification of bacterial and human proteins from infected wounds in living 3D skin models. Sci Rep 2020; 10:11900. [PMID: 32681099 PMCID: PMC7368034 DOI: 10.1038/s41598-020-68233-6] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2019] [Accepted: 06/19/2020] [Indexed: 11/23/2022] Open
Abstract
Trauma is one of the leading causes of death in people under the age of 49 and complications due to wound infection are the primary cause of death in the first few days after injury. The ESKAPE pathogens are a group of bacteria that are a leading cause of hospital-acquired infections and a major concern in terms of antibiotic resistance. Here, we demonstrate a novel and highly accurate approach for the rapid identification of ESKAPE pathogens (Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp.) directly from infected wounds in 3D in vitro skin models. Wounded skin models were inoculated with bacteria and left to incubate. Bacterial proteins were identified within minutes, directly from the wound, by liquid extraction surface analysis mass spectrometry. This approach was able to distinguish closely related strains and, unlike genomic approaches, can be modified to provide dynamic information about pathogen behaviour at the wound site. In addition, since human skin proteins were also identified, this method offers the opportunity to analyse both host and pathogen biomarkers during wound infection in near real-time.
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Affiliation(s)
- Jana Havlikova
- EPSRC Centre for Doctoral Training in Physical Sciences for Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.,School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Robin C May
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.,Institute of Microbiology and Infection, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK
| | - Iain B Styles
- EPSRC Centre for Doctoral Training in Physical Sciences for Health, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.,School of Computer Science, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.,Centre of Membrane Proteins and Receptors, The Universities of Birmingham and Nottingham, The Midlands, Birmingham, UK.,Alan Turing Institute, 96 Euston Road, London, NW1 2DB, UK
| | - Helen J Cooper
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.
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Johnson J, Sharick JT, Skala MC, Li L. Sample preparation strategies for high-throughput mass spectrometry imaging of primary tumor organoids. JOURNAL OF MASS SPECTROMETRY : JMS 2020; 55:e4452. [PMID: 31661714 PMCID: PMC7254934 DOI: 10.1002/jms.4452] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2019] [Revised: 09/21/2019] [Accepted: 09/30/2019] [Indexed: 05/04/2023]
Abstract
Patient-derived 3D organoids show great promise for understanding patient heterogeneity and chemotherapy response in human-derived tissue. The combination of organoid culture techniques with mass spectrometry imaging provides a label-free methodology for characterizing drug penetration, patient-specific response, and drug biotransformation. However, current methods used to grow tumor organoids employ extracellular matrices that can produce small molecule background signal during mass spectrometry imaging analysis. Here, we develop a method to isolate 3D human tumor organoids out of a Matrigel extracellular matrix into gelatin mass spectrometry compatible microarrays for high-throughput mass spectrometry imaging analysis. The alignment of multiple organoids in the same z-axis is essential for sectioning organoids together and for maintaining reproducible sample preparation on a single glass slide for up to hundreds of organoids. This method successfully removes organoids from extracellular matrix interference and provides an organized array for high-throughput imaging analysis to easily identify organoids by eye for area selection and further analysis. With this method, mass spectrometry imaging can be readily applied to organoid systems for preclinical drug development and personalized medicine research initiatives.
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Affiliation(s)
- Jillian Johnson
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
| | | | - Melissa C. Skala
- Morgridge Institute for Research, Madison, WI, USA
- Department of Biomedical Engineering, University of Wisconsin-Madison, Madison, WI, USA
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, WI, USA
- Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA
- To whom correspondence should be addressed: Lingjun Li (), Phone: 608-265-8491, Fax: 608-262-5345
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10
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Holzlechner M, Eugenin E, Prideaux B. Mass spectrometry imaging to detect lipid biomarkers and disease signatures in cancer. Cancer Rep (Hoboken) 2019; 2:e1229. [PMID: 32729258 PMCID: PMC7941519 DOI: 10.1002/cnr2.1229] [Citation(s) in RCA: 30] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2018] [Revised: 11/04/2019] [Accepted: 11/07/2019] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Current methods to identify, classify, and predict tumor behavior mostly rely on histology, immunohistochemistry, and molecular determinants. However, better predictive markers are required for tumor diagnosis and evaluation. Due, in part, to recent technological advancements, metabolomics and lipid biomarkers have become a promising area in cancer research. Therefore, there is a necessity for novel and complementary techniques to identify and visualize these molecular markers within tumors and surrounding tissue. RECENT FINDINGS Since its introduction, mass spectrometry imaging (MSI) has proven to be a powerful tool for mapping analytes in biological tissues. By adding the label-free specificity of mass spectrometry to the detailed spatial information of traditional histology, hundreds of lipids can be imaged simultaneously within a tumor. MSI provides highly detailed lipid maps for comparing intra-tumor, tumor margin, and healthy regions to identify biomarkers, patterns of disease, and potential therapeutic targets. In this manuscript, recent advancement in sample preparation and MSI technologies are discussed with special emphasis on cancer lipid research to identify tumor biomarkers. CONCLUSION MSI offers a unique approach for biomolecular characterization of tumor tissues and provides valuable complementary information to histology for lipid biomarker discovery and tumor classification in clinical and research cancer applications.
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Affiliation(s)
- Matthias Holzlechner
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Eliseo Eugenin
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
| | - Brendan Prideaux
- Department of Neuroscience, Cell Biology, and AnatomyThe University of Texas Medical Branch at Galveston (UTMB)GalvestonTexas
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11
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Johnson RW, Talaty N. Tissue Imaging by Mass Spectrometry: A Practical Guide for the Medicinal Chemist. ACS Med Chem Lett 2019; 10:161-167. [PMID: 30783497 PMCID: PMC6378676 DOI: 10.1021/acsmedchemlett.8b00480] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Accepted: 01/11/2019] [Indexed: 12/13/2022] Open
Abstract
Understanding the tissue distribution of therapeutic molecules is often critical for assessing their efficacy and toxicity. Unfortunately, standard methods for monitoring localized drug distribution are resource-intensive and are typically performed late in the discovery process. As a result, early development efforts often progress without detailed information on the effect that changes in structure and/or formulation have on drug localization. Recent innovations in mass spectrometry (MS) provide new options for mapping the spatial distribution of drug in tissue and allow parallel detection of endogenous species. These advances are improving access to drug distribution data early in discovery and provide insight into local biochemical changes that are directly related to drug activity. The literature on these topics is voluminous, and the technology is advancing rapidly, offering a bewildering array of options for researchers who are new to the field. To guide medicinal chemists who wish to apply these methods in their research, this technology perspective provides our views on practical applications that are currently enabled by various MS imaging (MSI) approaches, along with recommendations for how best to implement these methods in pharmaceutical R&D.
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Affiliation(s)
- Robert W. Johnson
- Discovery Chemistry and Technology, AbbVie Inc., 1 North Waukegan Road, North
Chicago, Illinois 60064, United States
| | - Nari Talaty
- Discovery Chemistry and Technology, AbbVie Inc., 1 North Waukegan Road, North
Chicago, Illinois 60064, United States
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Russo C, Brickelbank N, Duckett C, Mellor S, Rumbelow S, Clench MR. Quantitative Investigation of Terbinafine Hydrochloride Absorption into a Living Skin Equivalent Model by MALDI-MSI. Anal Chem 2018; 90:10031-10038. [PMID: 30024732 DOI: 10.1021/acs.analchem.8b02648] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
The combination of microspotting of analytical and internal standards, matrix sublimation, and recently developed software for quantitative mass spectrometry imaging has been used to develop a high-resolution method for the determination of terbinafine hydrochloride in the epidermal region of a full thickness living skin equivalent model. A quantitative assessment of the effect of the addition of the penetration enhancer (dimethyl isosorbide (DMI)) to the delivery vehicle has also been performed, and data have been compared to those obtained from LC-MS/MS measurements of homogenates of isolated epidermal tissue. At 10% DMI, the levels of signal detected for the drug in the epidermis were 0.20 ± 0.072 mg/g tissue for QMSI and 0.28 ± 0.040 mg/g tissue for LC-MS/MS at 50% DMI 0.69 ± 0.23 mg/g tissue for QMSI and 0.66 ± 0.057 mg/g tissue for LC-MS/MS. Comparison of means and standard deviations indicates no significant difference between the values obtained by the two methods.
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Affiliation(s)
- Cristina Russo
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
| | - Neil Brickelbank
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
| | - Catherine Duckett
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
| | - Steve Mellor
- Croda International Plc , Cowick Hall , Snaith , Goole, East Yorkshire DN14 9AA , U.K
| | - Stephen Rumbelow
- Croda Inc. , 315 Cherry Lane New Castle , Delaware 19720 , United States
| | - Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Research Centre , Sheffield Hallam University , Howard Street , Sheffield S1 1WB , U.K
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