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Fan X, Sun AR, Young RSE, Afara IO, Hamilton BR, Ong LJY, Crawford R, Prasadam I. Spatial analysis of the osteoarthritis microenvironment: techniques, insights, and applications. Bone Res 2024; 12:7. [PMID: 38311627 PMCID: PMC10838951 DOI: 10.1038/s41413-023-00304-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 11/21/2023] [Accepted: 11/27/2023] [Indexed: 02/06/2024] Open
Abstract
Osteoarthritis (OA) is a debilitating degenerative disease affecting multiple joint tissues, including cartilage, bone, synovium, and adipose tissues. OA presents diverse clinical phenotypes and distinct molecular endotypes, including inflammatory, metabolic, mechanical, genetic, and synovial variants. Consequently, innovative technologies are needed to support the development of effective diagnostic and precision therapeutic approaches. Traditional analysis of bulk OA tissue extracts has limitations due to technical constraints, causing challenges in the differentiation between various physiological and pathological phenotypes in joint tissues. This issue has led to standardization difficulties and hindered the success of clinical trials. Gaining insights into the spatial variations of the cellular and molecular structures in OA tissues, encompassing DNA, RNA, metabolites, and proteins, as well as their chemical properties, elemental composition, and mechanical attributes, can contribute to a more comprehensive understanding of the disease subtypes. Spatially resolved biology enables biologists to investigate cells within the context of their tissue microenvironment, providing a more holistic view of cellular function. Recent advances in innovative spatial biology techniques now allow intact tissue sections to be examined using various -omics lenses, such as genomics, transcriptomics, proteomics, and metabolomics, with spatial data. This fusion of approaches provides researchers with critical insights into the molecular composition and functions of the cells and tissues at precise spatial coordinates. Furthermore, advanced imaging techniques, including high-resolution microscopy, hyperspectral imaging, and mass spectrometry imaging, enable the visualization and analysis of the spatial distribution of biomolecules, cells, and tissues. Linking these molecular imaging outputs to conventional tissue histology can facilitate a more comprehensive characterization of disease phenotypes. This review summarizes the recent advancements in the molecular imaging modalities and methodologies for in-depth spatial analysis. It explores their applications, challenges, and potential opportunities in the field of OA. Additionally, this review provides a perspective on the potential research directions for these contemporary approaches that can meet the requirements of clinical diagnoses and the establishment of therapeutic targets for OA.
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Affiliation(s)
- Xiwei Fan
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Antonia Rujia Sun
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Reuben S E Young
- Central Analytical Research Facility, Queensland University of Technology, Brisbane, QLD, Australia
- Molecular Horizons, University of Wollongong, Wollongong, NSW, Australia
| | - Isaac O Afara
- Department of Technical Physics, University of Eastern Finland, Kuopio, Finland
- School of Electrical Engineering and Computer Science, Faculty of Engineering, Architecture and Information Technology, University of Queensland, Brisbane, QLD, Australia
| | - Brett R Hamilton
- Centre for Microscopy and Microanalysis, University of Queensland, Brisbane, QLD, Australia
| | - Louis Jun Ye Ong
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Ross Crawford
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia
- The Prince Charles Hospital, Brisbane, QLD, Australia
| | - Indira Prasadam
- Centre for Biomedical Technologies, Queensland University of Technology, Brisbane, QLD, Australia.
- School of Mechanical, Medical & Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia.
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2
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Chung HH, Huang P, Chen CL, Lee C, Hsu CC. Next-generation pathology practices with mass spectrometry imaging. MASS SPECTROMETRY REVIEWS 2023; 42:2446-2465. [PMID: 35815718 DOI: 10.1002/mas.21795] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Revised: 04/13/2022] [Accepted: 04/22/2022] [Indexed: 06/15/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful technique that reveals the spatial distribution of various molecules in biological samples, and it is widely used in pathology-related research. In this review, we summarize common MSI techniques, including matrix-assisted laser desorption/ionization and desorption electrospray ionization MSI, and their applications in pathological research, including disease diagnosis, microbiology, and drug discovery. We also describe the improvements of MSI, focusing on the accumulation of imaging data sets, expansion of chemical coverage, and identification of biological significant molecules, that have prompted the evolution of MSI to meet the requirements of pathology practices. Overall, this review details the applications and improvements of MSI techniques, demonstrating the potential of integrating MSI techniques into next-generation pathology practices.
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Affiliation(s)
- Hsin-Hsiang Chung
- Department of Chemistry, National Taiwan University, Taipei City, Taiwan
| | - Penghsuan Huang
- Department of Chemistry, National Taiwan University, Taipei City, Taiwan
| | - Chih-Lin Chen
- Department of Chemistry, National Taiwan University, Taipei City, Taiwan
| | - Chuping Lee
- Department of Chemistry, Fu Jen Catholic University, New Taipei City, Taiwan
| | - Cheng-Chih Hsu
- Department of Chemistry, National Taiwan University, Taipei City, Taiwan
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3
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Haartmans MJJ, Emanuel KS, Tuijthof GJM, Heeren RMA, Emans PJ, Cillero-Pastor B. Mass Spectrometry-based Biomarkers for Knee Osteoarthritis: A Systematic Review. Expert Rev Proteomics 2021; 18:693-706. [PMID: 34228576 DOI: 10.1080/14789450.2021.1952868] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
Introduction: Knee osteoarthritis (OA) is a joint disease, affecting multiple tissues in the joint. Early detection and intervention may delay OA development and avoid total knee arthroplasty. Specific biomarker profiles for early detection and guiding clinical decision-making of OA have not yet been identified. One technique that can contribute to the finding of this "OA biomarker" is mass spectrometry (MS), which offers the possibility to analyze different molecules in tissues or fluids. Several proteomic, lipidomic, metabolomic and other -omic approaches aim to identify these molecular profiles; however, variation in methods and techniques complicate the finding of promising candidate biomarkers.Areas covered: In this systematic review, we aim to provide an overview of molecules in OA knee patients. Possible biomarkers in several tissue types of OA and non-OA patients, as well as current limitations and possible future suggestions will be discussed.Expert opinion: According to this review, we do not believe one specific biomarker will function as predictive molecule for OA. Likely, a group of molecules will give insight in OA development and possible therapeutic targets. For clinical implementation of MS-analysis in clinical decision-making, standardized procedures, large cohort studies and sharing protocols and data is necessary.
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Affiliation(s)
- Mirella J J Haartmans
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University Universiteitssingel 50, 6229 ER Maastricht, The Netherlands.,Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, CAPHRI Care and Public Health Research Institute, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Kaj S Emanuel
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, CAPHRI Care and Public Health Research Institute, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Gabrielle J M Tuijthof
- Department of Research Engineering, Maastricht University Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Pieter J Emans
- Laboratory for Experimental Orthopedics, Department of Orthopedic Surgery, CAPHRI Care and Public Health Research Institute, Maastricht University Medical Center+, P. Debyelaan 25, 6229 HX Maastricht, The Netherlands
| | - Berta Cillero-Pastor
- Maastricht MultiModal Molecular Imaging Institute (M4i), Division of Imaging Mass Spectrometry, Maastricht University Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
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4
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Mass Spectrometry Imaging as a Potential Tool to Investigate Human Osteoarthritis at the Tissue Level. Int J Mol Sci 2020; 21:ijms21176414. [PMID: 32899238 PMCID: PMC7503948 DOI: 10.3390/ijms21176414] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2020] [Revised: 08/28/2020] [Accepted: 08/31/2020] [Indexed: 12/25/2022] Open
Abstract
Osteoarthritis (OA) is the most common degenerative joint disease, predicted to increase in incidence year by year due to an ageing population. Due to the biological complexity of the disease, OA remains highly heterogeneous. Although much work has been undertaken in the past few years, underlying molecular mechanisms leading to joint tissue structural deterioration are not fully understood, with only few validated markers for disease diagnosis and progression being available. Discovery and quantitation of various OA-specific biomarkers is still largely focused on the bodily fluids which does not appear to be reliable and sensitive enough. However, with the advancement of spatial proteomic techniques, several novel peptides and proteins, as well as N-glycans, can be identified and localised in a reliable and sensitive manner. To summarise the important findings from OA biomarker studies, papers published between 2000 and 2020 were searched via Google Scholar and PubMed. Medical subject heading (MeSH) terms ‘osteoarthritis’, ‘biomarker’, ‘synovial fluid’, ‘serum’, ‘urine’, ’matrix-assisted laser desorption/ionisation’, ‘mass spectrometry imaging’, ‘proteomic’, ‘glycomic’, ‘cartilage’, ‘synovium’ AND ‘subchondral bone’ were selectively used. The literature search was restricted to full-text original research articles and written only in English. Two main areas were reviewed for OA biomarker studies: (1) an overview of disease-specific markers detected from different types of OA bio-samples, and (2) an up-to-date summary of the tissue-specific OA studies that have utilised matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI). Overall, these OA biomarkers could provide clinicians with information for better the diagnosis, and prognosis of individual patients, and ultimately help facilitate the development of disease-modifying treatments.
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Eveque-Mourroux MR, Rocha B, Barré FPY, Heeren RMA, Cillero-Pastor B. Spatially resolved proteomics in osteoarthritis: State of the art and new perspectives. J Proteomics 2020; 215:103637. [PMID: 31926309 DOI: 10.1016/j.jprot.2020.103637] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2019] [Revised: 12/07/2019] [Accepted: 01/05/2020] [Indexed: 01/18/2023]
Abstract
Osteoarthritis (OA) is one of the most common diseases worldwide caused by chronic degeneration of the joints. Its high prevalence and the involvement of several tissues define OA as a highly heterogeneous disease. New biological markers to evaluate the progression of the pathology and improve its prognosis are needed. Among all the different -omic strategies applied to OA, solution phase bottom-up proteomics has made an extensive contribution to the field of biomarker research. However, new technologies for protein analysis should be considered for a better understanding of the disease. This review focuses on complementary proteomic methodologies and new technologies for translational research of OA and other rheumatic pathologies, especially mass spectrometry imaging and protein imaging methods not applied by the OA community yet.
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Affiliation(s)
- M R Eveque-Mourroux
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, the Netherlands
| | - B Rocha
- Proteomics Group-ProteoRed/ISCIII, Grupo de Investigación de Reumatología (GIR), INIBIC - Hospital Universitario de A Coruña, A Coruña, Spain
| | - F P Y Barré
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, the Netherlands
| | - R M A Heeren
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, the Netherlands
| | - B Cillero-Pastor
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229, ER, Maastricht, the Netherlands.
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Eveque-Mourroux MR, Emans PJ, Zautsen RRM, Boonen A, Heeren RMA, Cillero-Pastor B. Spatially resolved endogenous improved metabolite detection in human osteoarthritis cartilage by matrix assisted laser desorption ionization mass spectrometry imaging. Analyst 2019; 144:5953-5958. [PMID: 31418440 DOI: 10.1039/c9an00944b] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Osteoarthritis (OA) is one of the most common musculoskeletal diseases, characterized by the progressive deterioration of articular cartilage. Although the disease has been well studied in the past few years, the endogenous metabolic composition and more importantly the spatial information of these molecules in cartilage is still poorly understood. Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) has been previously used for the investigation of the bimolecular distribution of proteins and lipids through the in situ analysis of cartilage tissue sections. MALDI-MSI as a tool to detect metabolites remains challenging, as these species have low abundance and degrade rapidly. In this work, we present a complete methodology, from sample preparation to data analysis for the detection of endogenous metabolites on cartilage by MSI. Our results demonstrate for the first time the ability to detect small molecules in fragile, challenging tissues through an optimized protocol, and render MSI as a tool towards a better understanding of OA.
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Affiliation(s)
- M R Eveque-Mourroux
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.
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Neagu AN. Proteome Imaging: From Classic to Modern Mass Spectrometry-Based Molecular Histology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:55-98. [PMID: 31347042 DOI: 10.1007/978-3-030-15950-4_4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
In order to overcome the limitations of classic imaging in Histology during the actually era of multiomics, the multi-color "molecular microscope" by its emerging "molecular pictures" offers quantitative and spatial information about thousands of molecular profiles without labeling of potential targets. Healthy and diseased human tissues, as well as those of diverse invertebrate and vertebrate animal models, including genetically engineered species and cultured cells, can be easily analyzed by histology-directed MALDI imaging mass spectrometry. The aims of this review are to discuss a range of proteomic information emerging from MALDI mass spectrometry imaging comparative to classic histology, histochemistry and immunohistochemistry, with applications in biology and medicine, concerning the detection and distribution of structural proteins and biological active molecules, such as antimicrobial peptides and proteins, allergens, neurotransmitters and hormones, enzymes, growth factors, toxins and others. The molecular imaging is very well suited for discovery and validation of candidate protein biomarkers in neuroproteomics, oncoproteomics, aging and age-related diseases, parasitoproteomics, forensic, and ecotoxicology. Additionally, in situ proteome imaging may help to elucidate the physiological and pathological mechanisms involved in developmental biology, reproductive research, amyloidogenesis, tumorigenesis, wound healing, neural network regeneration, matrix mineralization, apoptosis and oxidative stress, pain tolerance, cell cycle and transformation under oncogenic stress, tumor heterogeneity, behavior and aggressiveness, drugs bioaccumulation and biotransformation, organism's reaction against environmental penetrating xenobiotics, immune signaling, assessment of integrity and functionality of tissue barriers, behavioral biology, and molecular origins of diseases. MALDI MSI is certainly a valuable tool for personalized medicine and "Eco-Evo-Devo" integrative biology in the current context of global environmental challenges.
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Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania.
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Vaysse PM, Heeren RMA, Porta T, Balluff B. Mass spectrometry imaging for clinical research - latest developments, applications, and current limitations. Analyst 2018. [PMID: 28642940 DOI: 10.1039/c7an00565b] [Citation(s) in RCA: 136] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mass spectrometry is being used in many clinical research areas ranging from toxicology to personalized medicine. Of all the mass spectrometry techniques, mass spectrometry imaging (MSI), in particular, has continuously grown towards clinical acceptance. Significant technological and methodological improvements have contributed to enhance the performance of MSI recently, pushing the limits of throughput, spatial resolution, and sensitivity. This has stimulated the spread of MSI usage across various biomedical research areas such as oncology, neurological disorders, cardiology, and rheumatology, just to name a few. After highlighting the latest major developments and applications touching all aspects of translational research (i.e. from early pre-clinical to clinical research), we will discuss the present challenges in translational research performed with MSI: data management and analysis, molecular coverage and identification capabilities, and finally, reproducibility across multiple research centers, which is the largest remaining obstacle in moving MSI towards clinical routine.
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Affiliation(s)
- Pierre-Maxence Vaysse
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Tiffany Porta
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging (M4I) institute, Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER, Maastricht, The Netherlands.
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9
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Lamont L, Baumert M, Ogrinc Potočnik N, Allen M, Vreeken R, Heeren RMA, Porta T. Integration of Ion Mobility MS E after Fully Automated, Online, High-Resolution Liquid Extraction Surface Analysis Micro-Liquid Chromatography. Anal Chem 2017; 89:11143-11150. [PMID: 28945354 PMCID: PMC5677252 DOI: 10.1021/acs.analchem.7b03512] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
![]()
Direct
analysis by mass spectrometry (imaging) has become increasingly
deployed in preclinical and clinical research due to its rapid and
accurate readouts. However, when it comes to biomarker discovery or
histopathological diagnostics, more sensitive and in-depth profiling
from localized areas is required. We developed a comprehensive, fully
automated online platform for high-resolution liquid extraction surface
analysis (HR-LESA) followed by micro–liquid chromatography
(LC) separation and a data-independent acquisition strategy for untargeted
and low abundant analyte identification directly from tissue sections.
Applied to tissue sections of rat pituitary, the platform demonstrated
improved spatial resolution, allowing sample areas as small as 400
μm to be studied, a major advantage over conventional LESA.
The platform integrates an online buffer exchange and washing step
for removal of salts and other endogenous contamination that originates
from local tissue extraction. Our carry over–free platform
showed high reproducibility, with an interextraction variability below
30%. Another strength of the platform is the additional selectivity
provided by a postsampling gas-phase ion mobility separation. This
allowed distinguishing coeluted isobaric compounds without requiring
additional separation time. Furthermore, we identified untargeted
and low-abundance analytes, including neuropeptides deriving from
the pro-opiomelanocortin precursor protein and localized a specific
area of the pituitary gland (i.e., adenohypophysis) known to secrete
neuropeptides and other small metabolites related to development,
growth, and metabolism. This platform can thus be applied for the
in-depth study of small samples of complex tissues with histologic
features of ∼400 μm or more, including potential neuropeptide
markers involved in many diseases such as neurodegenerative diseases,
obesity, bulimia, and anorexia nervosa.
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Affiliation(s)
- Lieke Lamont
- Maastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands
| | | | - Nina Ogrinc Potočnik
- Maastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands
| | - Mark Allen
- Advion , Harlow CM20 2NQ, United Kingdom
| | - Rob Vreeken
- Maastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands.,Janssen Pharmaceutica , Beerse, Belgium
| | - Ron M A Heeren
- Maastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands
| | - Tiffany Porta
- Maastricht Multimodal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University , Maastricht, The Netherlands
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Profiling and identification of new proteins involved in brain ischemia using MALDI-imaging-mass-spectrometry. J Proteomics 2017; 152:243-253. [DOI: 10.1016/j.jprot.2016.11.014] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2016] [Revised: 10/24/2016] [Accepted: 11/19/2016] [Indexed: 12/21/2022]
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11
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Barré FPY, Flinders B, Garcia JP, Jansen I, Huizing LRS, Porta T, Creemers LB, Heeren RMA, Cillero-Pastor B. Derivatization Strategies for the Detection of Triamcinolone Acetonide in Cartilage by Using Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. Anal Chem 2016; 88:12051-12059. [PMID: 28193015 DOI: 10.1021/acs.analchem.6b02491] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Osteoarthritis (OA), characterized by degeneration of the cartilaginous tissue in articular joints, severely impairs mobility in many people worldwide. The degeneration is thought to be mediated by inflammatory processes occurring in the tissue of the joint, including the cartilage. Intra-articular administered triamcinolone acetonide (TAA) is one of the drug treatments employed to ameliorate the inflammation and pain that characterizes OA. However, the penetration and distribution of TAA into the avascular cartilage is not well understood. We employed matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), which has been previously used to directly monitor the distribution of drugs in biological tissues, to evaluate the distribution of TAA in human cartilage after in vitro incubation. Unfortunately, TAA is not easily ionized by regular electrospray ionization (ESI) or MALDI. To overcome this problem, we developed an on-tissue derivatization method with Girard's reagent T (GirT) in human incubated cartilage being able to study its distribution and quantify the drug abundance (up to 3.3 ng/μL). Our results demonstrate the depth of penetration of a corticosteroid drug in human OA cartilage using MALDI-MSI.
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Affiliation(s)
- Florian P Y Barré
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University , Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Bryn Flinders
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University , Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - João P Garcia
- University Medical Centre (UMC) Utrecht , Orthopedics Department, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Imke Jansen
- University Medical Centre (UMC) Utrecht , Orthopedics Department, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Lennart R S Huizing
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University , Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Tiffany Porta
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University , Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Laura B Creemers
- University Medical Centre (UMC) Utrecht , Orthopedics Department, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands
| | - Ron M A Heeren
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University , Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Berta Cillero-Pastor
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University , Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
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Rocha B, Ruiz-Romero C, Blanco FJ. Mass spectrometry imaging: a novel technology in rheumatology. Nat Rev Rheumatol 2016; 13:52-63. [DOI: 10.1038/nrrheum.2016.184] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Rocha B, Cillero-Pastor B, Blanco FJ, Ruiz-Romero C. MALDI mass spectrometry imaging in rheumatic diseases. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:784-794. [PMID: 27742553 DOI: 10.1016/j.bbapap.2016.10.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2016] [Revised: 09/29/2016] [Accepted: 10/04/2016] [Indexed: 01/15/2023]
Abstract
Mass spectrometry imaging (MSI) is a technique used to visualize the spatial distribution of biomolecules such as peptides, proteins, lipids or other organic compounds by their molecular masses. Among the different MSI strategies, MALDI-MSI provides a sensitive and label-free approach for imaging of a wide variety of protein or peptide biomarkers from the surface of tissue sections, being currently used in an increasing number of biomedical applications such as biomarker discovery and tissue classification. In the field of rheumatology, MALDI-MSI has been applied to date for the analysis of joint tissues such as synovial membrane or cartilage. This review summarizes the studies and key achievements obtained using MALDI-MSI to increase understanding on rheumatic pathologies and to describe potential diagnostic or prognostic biomarkers of these diseases. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Beatriz Rocha
- Proteomics Unit-ProteoRed/ISCIII, Rheumatology Group, INIBIC - Hospital Universitario de A Coruña, SERGAS, A Coruña, Spain
| | | | - Francisco J Blanco
- Proteomics Unit-ProteoRed/ISCIII, Rheumatology Group, INIBIC - Hospital Universitario de A Coruña, SERGAS, A Coruña, Spain; RIER-RED de Inflamación y Enfermedades Reumáticas, INIBIC-CHUAC, A Coruña, Spain.
| | - Cristina Ruiz-Romero
- Proteomics Unit-ProteoRed/ISCIII, Rheumatology Group, INIBIC - Hospital Universitario de A Coruña, SERGAS, A Coruña, Spain; CIBER-BBN Instituto de Salud Carlos III, INIBIC-CHUAC, A Coruña, Spain.
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Fujino Y, Minamizaki T, Yoshioka H, Okada M, Yoshiko Y. Imaging and mapping of mouse bone using MALDI-imaging mass spectrometry. Bone Rep 2016; 5:280-285. [PMID: 28580397 PMCID: PMC5440778 DOI: 10.1016/j.bonr.2016.09.004] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/15/2016] [Revised: 09/23/2016] [Accepted: 09/28/2016] [Indexed: 12/14/2022] Open
Abstract
Matrix-assisted laser desorption/ionization-imaging mass spectrometry (MALDI-IMS) is an advanced method used globally to analyze the distribution of biomolecules on tissue cryosections without any probes. In bones, however, hydroxyapatite crystals make it difficult to determine the distribution of biomolecules using MALDI-IMS. Additionally, there is limited information regarding the use of this method to analyze bone tissues. To determine whether MALDI-IMS analysis of bone tissues can facilitate comprehensive mapping of biomolecules in mouse bone, we first dissected femurs and tibiae from 8-week-old male mice and characterized the quality of multiple fixation and decalcification methods for preparation of the samples. Cryosections were mounted on indium tin oxide-coated glass slides, dried, and then a matrix solution was sprayed on the tissue surface. Images were acquired using an iMScope at a mass-to-charge range of 100-1000. Hematoxylin-eosin, Alcian blue, Azan, and periodic acid-Schiff staining of adjacent sections was used to evaluate histological and histochemical features. Among the various fixation and decalcification conditions, sections from trichloroacetic acid-treated samples were most suitable to examine both histology and comprehensive MS images. However, histotypic MS signals were detected in all sections. In addition to the MS images, phosphocholine was identified as a candidate metabolite. These results indicate successful detection of biomolecules in bone using MALDI-IMS. Although analytical procedures and compositional adjustment regarding the performance of the device still require further development, IMS appears to be a powerful tool to determine the distribution of biomolecules in bone tissues.
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Affiliation(s)
- Yoko Fujino
- Department of Special Care Dentistry, Hiroshima University Graduate School of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Tomoko Minamizaki
- Department of Calcified Tissue Biology, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Hirotaka Yoshioka
- Department of Calcified Tissue Biology, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
| | - Mitsugi Okada
- Special Care Dentistry, Hiroshima University Hospital, Hiroshima, Japan
| | - Yuji Yoshiko
- Department of Calcified Tissue Biology, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima University, Hiroshima, Japan
- Corresponding author at: Department of Calcified Tissue Biology, Hiroshima University Institute of Biomedical & Health Sciences, 1-2-3, Kasumi, Minami-ku, Hiroshima 734-8553, Japan.Department of Calcified Tissue BiologyHiroshima University Institute of Biomedical & Health Sciences1-2-3, Kasumi, Minami-kuHiroshima734-8553Japan
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15
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Longuespée R, Casadonte R, Kriegsmann M, Pottier C, Picard de Muller G, Delvenne P, Kriegsmann J, De Pauw E. MALDI mass spectrometry imaging: A cutting-edge tool for fundamental and clinical histopathology. Proteomics Clin Appl 2016; 10:701-19. [PMID: 27188927 DOI: 10.1002/prca.201500140] [Citation(s) in RCA: 54] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 04/07/2016] [Accepted: 05/13/2016] [Indexed: 01/16/2023]
Abstract
Histopathological diagnoses have been done in the last century based on hematoxylin and eosin staining. These methods were complemented by histochemistry, electron microscopy, immunohistochemistry (IHC), and molecular techniques. Mass spectrometry (MS) methods allow the thorough examination of various biocompounds in extracts and tissue sections. Today, mass spectrometry imaging (MSI), and especially matrix-assisted laser desorption ionization (MALDI) imaging links classical histology and molecular analyses. Direct mapping is a major advantage of the combination of molecular profiling and imaging. MSI can be considered as a cutting edge approach for molecular detection of proteins, peptides, carbohydrates, lipids, and small molecules in tissues. This review covers the detection of various biomolecules in histopathological sections by MSI. Proteomic methods will be introduced into clinical histopathology within the next few years.
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Affiliation(s)
- Rémi Longuespée
- Proteopath GmbH, Trier, Germany.,Mass Spectrometry Laboratory, GIGA-Research, Department of Chemistry, University of Liège, Liège, Belgium
| | | | - Mark Kriegsmann
- Institute of Pathology, University of Heidelberg, Heidelberg, Germany
| | - Charles Pottier
- Laboratory of Experimental Pathology, GIGA-Cancer, Department of Pathology, University of Liège, Liège, Belgium
| | | | - Philippe Delvenne
- Laboratory of Experimental Pathology, GIGA-Cancer, Department of Pathology, University of Liège, Liège, Belgium
| | - Jörg Kriegsmann
- Proteopath GmbH, Trier, Germany.,MVZ for Histology, Cytology and Molecular Diagnostics Trier, Trier, Germany
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, GIGA-Research, Department of Chemistry, University of Liège, Liège, Belgium
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16
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van de Ven SMWY, Bemis KD, Lau K, Adusumilli R, Kota U, Stolowitz M, Vitek O, Mallick P, Gambhir SS. Protein biomarkers on tissue as imaged via MALDI mass spectrometry: A systematic approach to study the limits of detection. Proteomics 2016; 16:1660-9. [PMID: 26970438 DOI: 10.1002/pmic.201500515] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 02/23/2016] [Accepted: 03/05/2016] [Indexed: 01/05/2023]
Abstract
MALDI mass spectrometry imaging (MSI) is emerging as a tool for protein and peptide imaging across tissue sections. Despite extensive study, there does not yet exist a baseline study evaluating the potential capabilities for this technique to detect diverse proteins in tissue sections. In this study, we developed a systematic approach for characterizing MALDI-MSI workflows in terms of limits of detection, coefficients of variation, spatial resolution, and the identification of endogenous tissue proteins. Our goal was to quantify these figures of merit for a number of different proteins and peptides, in order to gain more insight in the feasibility of protein biomarker discovery efforts using this technique. Control proteins and peptides were deposited in serial dilutions on thinly sectioned mouse xenograft tissue. Using our experimental setup, coefficients of variation were <30% on tissue sections and spatial resolution was 200 μm (or greater). Limits of detection for proteins and peptides on tissue were in the micromolar to millimolar range. Protein identification was only possible for proteins present in high abundance in the tissue. These results provide a baseline for the application of MALDI-MSI towards the discovery of new candidate biomarkers and a new benchmarking strategy that can be used for comparing diverse MALDI-MSI workflows.
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Affiliation(s)
- Stephanie M W Y van de Ven
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Kyle D Bemis
- Department of Statistics, Purdue University, West Lafayette, IN, USA
| | - Kenneth Lau
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ravali Adusumilli
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Uma Kota
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Thermo Fisher Scientific, San Jose, CA, USA
| | - Mark Stolowitz
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Olga Vitek
- College of Science, College of Computer and Information Science, Northeastern University, Boston, MA, USA
| | - Parag Mallick
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Sanjiv S Gambhir
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.,Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.,Department of Materials Science & Engineering, Stanford, CA, USA
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17
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Crecelius AC, Schubert US, von Eggeling F. MALDI mass spectrometric imaging meets “omics”: recent advances in the fruitful marriage. Analyst 2015; 140:5806-20. [DOI: 10.1039/c5an00990a] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometric imaging (MALDI MSI) is a method that allows the investigation of the molecular content of surfaces, in particular, tissues, within its morphological context.
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Affiliation(s)
- A. C. Crecelius
- Laboratory of Organic and Macromolecular Chemistry (IOMC)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Jena Center for Soft Matter (JCSM)
| | - U. S. Schubert
- Laboratory of Organic and Macromolecular Chemistry (IOMC)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Jena Center for Soft Matter (JCSM)
| | - F. von Eggeling
- Jena Center for Soft Matter (JCSM)
- Friedrich Schiller University Jena
- 07743 Jena
- Germany
- Institute of Physical Chemistry
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