1
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Assessment of MRI to estimate metastatic dissemination risk and prometastatic effects of chemotherapy. NPJ Breast Cancer 2022; 8:101. [PMID: 36056005 PMCID: PMC9440218 DOI: 10.1038/s41523-022-00463-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2021] [Accepted: 07/11/2022] [Indexed: 11/10/2022] Open
Abstract
Metastatic dissemination in breast cancer is regulated by specialized intravasation sites called “tumor microenvironment of metastasis” (TMEM) doorways, composed of a tumor cell expressing the actin-regulatory protein Mena, a perivascular macrophage, and an endothelial cell, all in stable physical contact. High TMEM doorway number is associated with an increased risk of distant metastasis in human breast cancer and mouse models of breast carcinoma. Here, we developed a novel magnetic resonance imaging (MRI) methodology, called TMEM Activity-MRI, to detect TMEM-associated vascular openings that serve as the portal of entry for cancer cell intravasation and metastatic dissemination. We demonstrate that TMEM Activity-MRI correlates with primary tumor TMEM doorway counts in both breast cancer patients and mouse models, including MMTV-PyMT and patient-derived xenograft models. In addition, TMEM Activity-MRI is reduced in mouse models upon treatment with rebastinib, a specific and potent TMEM doorway inhibitor. TMEM Activity-MRI is an assay that specifically measures TMEM-associated vascular opening (TAVO) events in the tumor microenvironment, and as such, can be utilized in mechanistic studies investigating molecular pathways of cancer cell dissemination and metastasis. Finally, we demonstrate that TMEM Activity-MRI increases upon treatment with paclitaxel in mouse models, consistent with prior observations that chemotherapy enhances TMEM doorway assembly and activity in human breast cancer. Our findings suggest that TMEM Activity-MRI is a promising precision medicine tool for localized breast cancer that could be used as a non-invasive test to determine metastatic risk and serve as an intermediate pharmacodynamic biomarker to monitor therapeutic response to agents that block TMEM doorway-mediated dissemination.
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Du W, Adkisson C, Ye X, Duran CL, Chellakkan Selvanesan B, Gravekamp C, Oktay MH, McAuliffe JC, Condeelis JS, Panarelli NC, Norgard RJ, Sela Y, Stanger BZ, Entenberg D. SWIP-a stabilized window for intravital imaging of the murine pancreas. Open Biol 2022; 12:210273. [PMID: 35702996 PMCID: PMC9198798 DOI: 10.1098/rsob.210273] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Accepted: 05/17/2022] [Indexed: 01/04/2023] Open
Abstract
Pancreatitis and pancreatic ductal adenocarcinoma (PDAC) are grave illnesses with high levels of morbidity and mortality. Intravital imaging (IVI) is a powerful technique for visualizing physiological processes in both health and disease. However, the application of IVI to the murine pancreas presents significant challenges, as it is a deep, compliant, visceral organ that is difficult to access, easily damaged and susceptible to motion artefacts. Existing imaging windows for stabilizing the pancreas during IVI have unfortunately shown poor stability for time-lapsed imaging on the minutes to hours scale, or are unable to accommodate both the healthy and tumour-bearing pancreata. To address these issues, we developed an improved stabilized window for intravital imaging of the pancreas (SWIP), which can be applied to not only the healthy pancreas but also to solid tumours like PDAC. Here, we validate the SWIP and use it to visualize a variety of processes for the first time, including (1) single-cell dynamics within the healthy pancreas, (2) transformation from healthy pancreas to acute pancreatitis induced by cerulein, and (3) the physiology of PDAC in both autochthonous and orthotopically injected models. SWIP can not only improve the imaging stability but also expand the application of IVI in both benign and malignant pancreas diseases.
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Affiliation(s)
- Wei Du
- Breast Center, Peking University People's Hospital, Beijing, People's Republic of China
- Anatomy and Structural Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Christian Adkisson
- Anatomy and Structural Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Cell Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Surgery, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Xianjun Ye
- Anatomy and Structural Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Pathology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Camille L. Duran
- Anatomy and Structural Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Pathology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Benson Chellakkan Selvanesan
- Department of Microbiology and Immunology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Claudia Gravekamp
- Department of Microbiology and Immunology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Maja H. Oktay
- Anatomy and Structural Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Pathology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - John C. McAuliffe
- Department of Surgery, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - John S. Condeelis
- Anatomy and Structural Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Cell Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Surgery, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Nicole C. Panarelli
- Gruss-Lipper Biophotonics Center, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Pathology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
| | - Robert J. Norgard
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Yogev Sela
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Ben Z. Stanger
- Department of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - David Entenberg
- Anatomy and Structural Biology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Gruss-Lipper Biophotonics Center, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Integrated Imaging Program, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
- Department of Pathology, Einstein College of Medicine/Montefiore Medical Center, Bronx, NY, USA
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3
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Yu X, Ding Q, Hu C, Mu G, Deng Y, Luo Y, Yuan Z, Yu H, Liu L. Evaluating Micro-Optical Coherence Tomography as a Feasible Imaging Tool for Pancreatic Disease Diagnosis. IEEE JOURNAL OF SELECTED TOPICS IN QUANTUM ELECTRONICS 2019; 25:1-8. [DOI: 10.1109/jstqe.2018.2827662] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/14/2023]
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Zhang L, Thurber GM. Quantitative Impact of Plasma Clearance and Down-regulation on GLP-1 Receptor Molecular Imaging. Mol Imaging Biol 2016; 18:79-89. [PMID: 26194012 DOI: 10.1007/s11307-015-0880-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
PURPOSE Quantitative molecular imaging of beta cell mass (BCM) would enable early detection and treatment monitoring of type 1 diabetes. The glucagon-like peptide-1 (GLP-1) receptor is an attractive target due to its beta cell specificity and cell surface location. We quantitatively investigated the impact of plasma clearance and receptor internalization on targeting efficiency in healthy B6 mice. PROCEDURES Four exenatide-based probes were synthesized that varied in molecular weight, binding affinity, and plasma clearance. The GLP-1 receptor internalization rate and in vivo receptor expression were quantified. RESULTS Receptor internalization (54,000 receptors/cell in vivo) decreased significantly within minutes, reducing the benefit of a slower-clearing agent. The multimers and albumin binding probes had higher kidney and liver uptake, respectively. CONCLUSIONS Slow plasma clearance is beneficial for GLP-1 receptor peptide therapeutics. However, for exendin-based imaging of islets, down-regulation of the GLP-1 receptor and non-specific background uptake result in a higher target-to-background ratio for fast-clearing agents.
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Affiliation(s)
- Liang Zhang
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Greg M Thurber
- Department of Chemical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA. .,Department of Biomedical Engineering, University of Michigan, 2800 Plymouth Rd., Ann Arbor, MI, 48109, USA.
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Lehmann C, Fisher NB, Tugwell B, Zhou J. An intravital microscopy model to study early pancreatic inflammation in type 1 diabetes in NOD mice. INTRAVITAL 2016; 5:e1215789. [PMID: 28243521 DOI: 10.1080/21659087.2016.1215789] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/16/2016] [Revised: 07/11/2016] [Accepted: 07/18/2016] [Indexed: 12/13/2022]
Abstract
Intravital microscopy (IVM) of the pancreas has been proven to be an invaluable tool in pancreatitis, transplantation and ischemia/reperfusion research. Also in type 1 diabetes (T1D) pancreatic IVM offers unique advantages for the elucidation of the disease process. Female non-obese diabetic (NOD) mice develop T1D spontaneously by 40 weeks of age. Our goal was to establish an IVM-based method to study early pancreatic inflammation in NOD mice, which can be used to screen novel medications to prevent or delay T1D in future studies. This included evaluation of leukocyte-endothelial interactions as well as disturbances of capillary perfusion in the pancreatic microcirculation.
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Affiliation(s)
- Christian Lehmann
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Halifax, NS, Canada; Department of Pharmacology, Dalhousie University, Halifax, NS, Canada; Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada; Department of Physiology and Biophysics, Dalhousie University, Halifax, NS, Canada
| | | | - Barna Tugwell
- Department of Medicine, Dalhousie University , Halifax, NS, Canada
| | - Juan Zhou
- Department of Anesthesia, Pain Management and Perioperative Medicine, Dalhousie University, Halifax, NS, Canada; Department of Microbiology and Immunology, Dalhousie University, Halifax, NS, Canada
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6
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Obata A, Kaneto H, Kamei S, Shimoda M, Kishi S, Isogawa A, Shiba T. Pancreatic Inflammation Captured by Imaging Technology at the Onset of Fulminant Type 1 Diabetes. Diabetes Care 2015; 38:e135-6. [PMID: 26116721 DOI: 10.2337/dc15-0861] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2015] [Accepted: 05/09/2015] [Indexed: 02/03/2023]
Affiliation(s)
- Atsushi Obata
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School, Kurashiki, Japan
| | - Hideaki Kaneto
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School, Kurashiki, Japan
| | - Shinji Kamei
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School, Kurashiki, Japan
| | - Masashi Shimoda
- Department of Diabetes, Endocrinology and Metabolism, Kawasaki Medical School, Kurashiki, Japan
| | - Satoru Kishi
- Department of Internal Medicine, Mitsui Memorial Hospital, Tokyo, Japan
| | - Akihiro Isogawa
- Department of Internal Medicine, Mitsui Memorial Hospital, Tokyo, Japan
| | - Teruo Shiba
- Division of Diabetes and Metabolism, Toho University Ohashi Medical Center, Tokyo, Japan
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Schmidt-Christensen A, Hansen L, Ilegems E, Fransén-Pettersson N, Dahl U, Gupta S, Larefalk A, Hannibal TD, Schulz A, Berggren PO, Holmberg D. Imaging dynamics of CD11c⁺ cells and Foxp3⁺ cells in progressive autoimmune insulitis in the NOD mouse model of type 1 diabetes. Diabetologia 2013; 56:2669-78. [PMID: 23963325 DOI: 10.1007/s00125-013-3024-8] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2013] [Accepted: 07/17/2013] [Indexed: 02/02/2023]
Abstract
AIMS/HYPOTHESIS The aim of this study was to visualise the dynamics and interactions of the cells involved in autoimmune-driven inflammation in type 1 diabetes. METHODS We adopted the anterior chamber of the eye (ACE) transplantation model to perform non-invasive imaging of leucocytes infiltrating the endocrine pancreas during initiation and progression of insulitis in the NOD mouse. Individual, ACE-transplanted islets of Langerhans were longitudinally and repetitively imaged by stereomicroscopy and two-photon microscopy to follow fluorescently labelled leucocyte subsets. RESULTS We demonstrate that, in spite of the immune privileged status of the eye, the ACE-transplanted islets develop infiltration and beta cell destruction, recapitulating the autoimmune insulitis of the pancreas, and exemplify this by analysing reporter cell populations expressing green fluorescent protein under the Cd11c or Foxp3 promoters. We also provide evidence that differences in morphological appearance of subpopulations of infiltrating leucocytes can be correlated to their distinct dynamic behaviour. CONCLUSIONS/INTERPRETATION Together, these findings demonstrate that the kinetics and dynamics of these key cellular components of autoimmune diabetes can be elucidated using this imaging platform for single cell resolution, non-invasive and repetitive monitoring of the individual islets of Langerhans during the natural development of autoimmune diabetes.
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Affiliation(s)
- Anja Schmidt-Christensen
- ISIM-Immunology, Faculty of Health and Medical Sciences, Copenhagen University, Copenhagen, Denmark
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Eriksson AU, Svensson C, Hörnblad A, Cheddad A, Kostromina E, Eriksson M, Norlin N, Pileggi A, Sharpe J, Georgsson F, Alanentalo T, Ahlgren U. Near infrared optical projection tomography for assessments of β-cell mass distribution in diabetes research. J Vis Exp 2013:e50238. [PMID: 23353681 PMCID: PMC3582649 DOI: 10.3791/50238] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
By adapting OPT to include the capability of imaging in the near infrared (NIR) spectrum, we here illustrate the possibility to image larger bodies of pancreatic tissue, such as the rat pancreas, and to increase the number of channels (cell types) that may be studied in a single specimen. We further describe the implementation of a number of computational tools that provide: 1/ accurate positioning of a specimen's (in our case the pancreas) centre of mass (COM) at the axis of rotation (AR); 2/ improved algorithms for post-alignment tuning which prevents geometric distortions during the tomographic reconstruction and 3/ a protocol for intensity equalization to increase signal to noise ratios in OPT-based BCM determinations. In addition, we describe a sample holder that minimizes the risk for unintentional movements of the specimen during image acquisition. Together, these protocols enable assessments of BCM distribution and other features, to be performed throughout the volume of intact pancreata or other organs (e.g. in studies of islet transplantation), with a resolution down to the level of individual islets of Langerhans.
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9
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Malaisse WJ, Maedler K. Imaging of the β-cells of the islets of Langerhans. Diabetes Res Clin Pract 2012; 98:11-8. [PMID: 22854107 DOI: 10.1016/j.diabres.2012.07.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/10/2012] [Accepted: 07/10/2012] [Indexed: 01/09/2023]
Abstract
The major aim of this paper is to review the present status of the techniques for the non-invasive imaging and quantification of insulin-producing pancreatic islet β-cells. Emphasis is placed on both the expansion of prior work already considered in a prior review and novel achievements. Thus, the use of d-mannoheptulose analogs, hypoglycemic sulfonylureas and glinides, neural imaging agents, neuro-hormonal receptor ligands and nanoparticles is first dealt with. Thereafter, consideration is given on optical imaging technologies, the identification of new β-cells specific binding and target proteins, the functional imaging of islets transplanted into the eye anterior chamber and in vivo manganese-enhanced magnetic resonance imaging.
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Affiliation(s)
- Willy J Malaisse
- Laboratory of Experimental Hormonology, Université Libre de Bruxelles, Brussels, Belgium.
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10
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Vats D, Wang H, Esterhazy D, Dikaiou K, Danzer C, Honer M, Stuker F, Matile H, Migliorini C, Fischer E, Ripoll J, Keist R, Krek W, Schibli R, Stoffel M, Rudin M. Multimodal imaging of pancreatic beta cells in vivo by targeting transmembrane protein 27 (TMEM27). Diabetologia 2012; 55:2407-16. [PMID: 22790173 PMCID: PMC3411300 DOI: 10.1007/s00125-012-2605-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/18/2011] [Accepted: 03/21/2012] [Indexed: 12/21/2022]
Abstract
AIMS/HYPOTHESIS Non-invasive diagnostic tools specific for pancreatic beta cells will have a profound impact on our understanding of the pathophysiology of metabolic diseases such as diabetes. The objective of this study was to use molecular imaging probes specifically targeting beta cells on human samples and animal models using state-of-the-art imaging modalities (fluorescence and PET) with preclinical and clinical perspective. METHODS We generated a monoclonal antibody, 8/9-mAb, targeting transmembrane protein 27 (TMEM27; a surface N-glycoprotein that is highly expressed on beta cells), compared its expression in human and mouse pancreas, and demonstrated beta cell-specific binding in both. In vivo imaging was performed in mice with subcutaneous insulinomas overexpressing the human TMEM27 gene, or transgenic mice with beta cell-specific hTMEM27 expression under the control of rat insulin promoter (RIP-hTMEM27-tg), using fluorescence and radioactively labelled antibody, followed by tissue ex vivo analysis and fluorescence microscopy. RESULTS Fluorescently labelled 8/9-mAb showed beta cell-specific staining on human and mouse pancreatic sections. Real-time PCR on islet cDNA indicated about tenfold higher expression of hTMEM27 in RIP-hTMEM27-tg mice than in humans. In vivo fluorescence and PET imaging in nude mice with insulinoma xenografts expressing hTMEM27 showed high 8/9-mAb uptake in tumours after 72 h. Antibody homing was also observed in beta cells of RIP-hTMEM27-tg mice by in vivo fluorescence imaging. Ex vivo analysis of intact pancreas and fluorescence microscopy in beta cells confirmed these findings. CONCLUSIONS/INTERPRETATION hTMEM27 constitutes an attractive target for in vivo visualisation of pancreatic beta cells. Studies in mouse insulinoma models and mice expressing hTMEM27 demonstrate the feasibility of beta cell-targeted in vivo imaging, which is attractive for preclinical investigations and holds potential in clinical diagnostics.
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Affiliation(s)
- D. Vats
- Animal Imaging Center, Institute for Biomedical Engineering, ETH, Wolfgang Pauli Strasse 10, 8093 Zurich, Switzerland
| | - H. Wang
- Present Address: F. Hoffmann-La Roche, Basel, Switzerland
| | - D. Esterhazy
- Institute of Molecular Systems Biology, ETH, Zurich, Switzerland
| | - K. Dikaiou
- Animal Imaging Center, Institute for Biomedical Engineering, ETH, Wolfgang Pauli Strasse 10, 8093 Zurich, Switzerland
| | - C. Danzer
- Institute for Cell Biology, ETH, Zurich, Switzerland
| | - M. Honer
- Present Address: F. Hoffmann-La Roche, Basel, Switzerland
- Institute for Pharmaceutical Sciences, ETH, Zurich, Switzerland
| | - F. Stuker
- Animal Imaging Center, Institute for Biomedical Engineering, ETH, Wolfgang Pauli Strasse 10, 8093 Zurich, Switzerland
| | - H. Matile
- Present Address: F. Hoffmann-La Roche, Basel, Switzerland
| | - C. Migliorini
- Present Address: F. Hoffmann-La Roche, Basel, Switzerland
| | - E. Fischer
- Paul Scherrer Institute, Villigen, Switzerland
| | - J. Ripoll
- Institute for Electronic Structure and Laser-FORTH, Crete, Greece
| | - R. Keist
- Animal Imaging Center, Institute for Biomedical Engineering, ETH, Wolfgang Pauli Strasse 10, 8093 Zurich, Switzerland
| | - W. Krek
- Institute for Cell Biology, ETH, Zurich, Switzerland
| | - R. Schibli
- Institute for Pharmaceutical Sciences, ETH, Zurich, Switzerland
- Paul Scherrer Institute, Villigen, Switzerland
| | - M. Stoffel
- Institute of Molecular Systems Biology, ETH, Zurich, Switzerland
| | - M. Rudin
- Animal Imaging Center, Institute for Biomedical Engineering, ETH, Wolfgang Pauli Strasse 10, 8093 Zurich, Switzerland
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Cheddad A, Svensson C, Sharpe J, Georgsson F, Ahlgren U. Image processing assisted algorithms for optical projection tomography. IEEE TRANSACTIONS ON MEDICAL IMAGING 2012; 31:1-15. [PMID: 21768046 DOI: 10.1109/tmi.2011.2161590] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/14/2023]
Abstract
Since it was first presented in 2002, optical projection tomography (OPT) has emerged as a powerful tool for the study of biomedical specimen on the mm to cm scale. In this paper, we present computational tools to further improve OPT image acquisition and tomographic reconstruction. More specifically, these methods provide: semi-automatic and precise positioning of a sample at the axis of rotation and a fast and robust algorithm for determination of postalignment values throughout the specimen as compared to existing methods. These tools are easily integrated for use with current commercial OPT scanners and should also be possible to implement in "home made" or experimental setups for OPT imaging. They generally contribute to increase acquisition speed and quality of OPT data and thereby significantly simplify and improve a number of three-dimensional and quantitative OPT based assessments.
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Affiliation(s)
- Abbas Cheddad
- Umeå Centre for Molecular Medicine, Umeå University, S-901 87 Umeå, Sweden.
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12
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Hörnblad A, Cheddad A, Ahlgren U. An improved protocol for optical projection tomography imaging reveals lobular heterogeneities in pancreatic islet and β-cell mass distribution. Islets 2011; 3:204-8. [PMID: 21633198 PMCID: PMC3154448 DOI: 10.4161/isl.3.4.16417] [Citation(s) in RCA: 40] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/30/2023] Open
Abstract
Optical projection tomography (OPT) imaging is a powerful tool for three-dimensional imaging of gene and protein distribution patterns in biomedical specimens. We have previously demonstrated the possibility, by this technique, to extract information of the spatial and quantitative distribution of the islets of Langerhans in the intact mouse pancreas. In order to further increase the sensitivity of OPT imaging for this type of assessment, we have developed a protocol implementing a computational statistical approach: contrast limited adaptive histogram equalization (CLAHE). We demonstrate that this protocol significantly increases the sensitivity of OPT imaging for islet detection, helps preserve islet morphology and diminish subjectivity in thresholding for tomographic reconstruction. When applied to studies of the pancreas from healthy C57BL/6 mice, our data reveal that, at least in this strain, the pancreas harbors substantially more islets than has previously been reported. Further, we provide evidence that the gastric, duodenal and splenic lobes of the pancreas display dramatic differences in total and relative islet and β-cell mass distribution. This includes a 75% higher islet density in the gastric lobe as compared to the splenic lobe and a higher relative volume of insulin producing cells in the duodenal lobe as compared to the other lobes. Altogether, our data show that CLAHE substantially improves OPT based assessments of the islets of Langerhans and that lobular origin must be taken into careful consideration in quantitative and spatial assessments of the pancreas.
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Affiliation(s)
- Andreas Hörnblad
- Umeå Centre for Molecular Medicine, Umeå University, Umeå, Sweden
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13
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Li YC, Cui WX, Wang XJ, Amthor F, Lu RW, Thompson A, Yao XC. Intrinsic optical signal imaging of glucose-stimulated insulin secreting β-cells. OPTICS EXPRESS 2011; 19:99-106. [PMID: 21263546 PMCID: PMC3090649 DOI: 10.1364/oe.19.000099] [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] [Indexed: 05/04/2023]
Abstract
Simultaneous monitoring of many functioning β-cells is essential for understanding β-cell dysfunction as an early event in the progression to diabetes. Intrinsic optical signal (IOS) imaging has been shown to allow high resolution detection of stimulus-evoked physiological responses in the retina and other neural tissues. In this paper, we demonstrate the feasibility of using IOS imaging for functional examination of insulin secreting INS-1 cells, a popular model for investigating diabetes associated β-cell dysfunction. Our experiments indicate that IOS imaging permits simultaneous monitoring of glucose-stimulated physiological responses in multiple cells with high spatial (sub-cellular) and temporal (sub-second) resolution. Rapid IOS image sequences revealed transient optical responses that had time courses tightly correlated with the glucose stimulation.
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Affiliation(s)
- Yi-Chao Li
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294,
USA
- These authors have equivalent contributions
| | - Wan-Xing Cui
- Department of Surgery, University of Alabama at Birmingham, Birmingham, AL 35294,
USA
- These authors have equivalent contributions
| | - Xu-Jing Wang
- Department of Physics, University of Alabama at Birmingham, Birmingham, AL 35294,
USA
| | - Franklin Amthor
- Department of Psychology, University of Alabama at Birmingham, Birmingham, AL 35294,
USA
| | - Rong-Wen Lu
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294,
USA
| | - Anthony Thompson
- Department of Surgery, University of Alabama at Birmingham, Birmingham, AL 35294,
USA
| | - Xin-Cheng Yao
- Department of Biomedical Engineering, University of Alabama at Birmingham, Birmingham, AL 35294,
USA
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14
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Fu YY, Lu CH, Lin CW, Juang JH, Enikolopov G, Sibley E, Chiang AS, Tang SC. Three-dimensional optical method for integrated visualization of mouse islet microstructure and vascular network with subcellular-level resolution. JOURNAL OF BIOMEDICAL OPTICS 2010; 15:046018. [PMID: 20799820 PMCID: PMC3188637 DOI: 10.1117/1.3470241] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2010] [Revised: 06/02/2010] [Accepted: 06/03/2010] [Indexed: 05/18/2023]
Abstract
Microscopic visualization of islets of Langerhans under normal and diabetic conditions is essential for understanding the pathophysiology of the disease. The intrinsic opacity of pancreata, however, limits optical accessibility for high-resolution light microscopy of islets in situ. Because the standard microtome-based, 2-D tissue analysis confines visualization of the islet architecture at a specific cut plane, 3-D representation of image data is preferable for islet assessment. We applied optical clearing to minimize the random light scattering in the mouse pancreatic tissue. The optical-cleared pancreas allowed penetrative, 3-D microscopic imaging of the islet microstructure and vasculature. Specifically, the islet vasculature was revealed by vessel painting-lipophilic dye labeling of blood vessels-for confocal microscopy. The voxel-based confocal micrographs were digitally processed with projection algorithms for 3-D visualization. Unlike the microtome-based tissue imaging, this optical method for penetrative imaging of mouse islets yielded clear, continuous optical sections for an integrated visualization of the islet microstructure and vasculature with subcellular-level resolution. We thus provide a useful imaging approach to change our conventional planar view of the islet structure into a 3-D panorama for better understanding of the islet physiology.
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Affiliation(s)
- Ya-Yuan Fu
- National Tsing Hua University, Department of Chemical Engineering, Hsinchu, Taiwan
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15
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Ahlgren U, Gotthardt M. Approaches for imaging islets: recent advances and future prospects. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2010; 654:39-57. [PMID: 20217493 DOI: 10.1007/978-90-481-3271-3_3] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
The establishment of improved technologies for imaging of the pancreas is a key element in addressing several aspects of diabetes pathogenesis. In this respect, the development of a protocol that allows for non-invasive scoring of human islets, or islet beta-cells, is of particular importance. The development of such a technology would have profound impact on both clinical and experimental medicine, ranging from early diagnosis of diabetes to the evaluation of therapeutic regimes. Another important task is the development of modalities for high-resolution imaging of experimental animal models for diabetes. Rodent models for diabetes research have for decades been instrumental to the diabetes research community. The ability to image, and to accurately quantify, key players of diabetogenic processes with molecular specificity will be of great importance for elucidating mechanistic aspects of the disease. This chapter aims to overview current progress within these research areas.
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Affiliation(s)
- Ulf Ahlgren
- Umeå Centre for Molecular Medicine, Umeå University, S-901 87 Umeå, Sweden.
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Abstract
In the past 20 years, numerous publications on a variety of mammalian and non-mammalian species have appeared in the literature to supplement the excellent comparative work performed in the 70s and 80s by the Falkmer, Epple, and Youson groups. What emerges is that islets are much more complex than once thought and show a lot of similarities in rodents and higher primates. The diversity of lifestyles, metabolic demands, and diets has most likely influenced the great diversity in both structure and cell-type content of islets in lower vertebrate species. In this chapter, I try to provide an overview of the evolution from endocrine cell types in invertebrates to the higher mammals and focus on what has been reported in the literature and some of our own experiences and also include a description of other hormones reported to be found in islets.
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Villiger M, Goulley J, Friedrich M, Grapin-Botton A, Meda P, Lasser T, Leitgeb RA. In vivo imaging of murine endocrine islets of Langerhans with extended-focus optical coherence microscopy. Diabetologia 2009; 52:1599-607. [PMID: 19484218 DOI: 10.1007/s00125-009-1383-y] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2008] [Accepted: 04/08/2009] [Indexed: 10/20/2022]
Abstract
AIMS/HYPOTHESIS Structural and functional imaging of the islets of Langerhans and the insulin-secreting beta cells represents a significant challenge and a long-lasting objective in diabetes research. In vivo microscopy offers a valuable insight into beta cell function but has severe limitations regarding sample labelling, imaging speed and depth, and was primarily performed on isolated islets lacking native innervations and vascularisation. This article introduces extended-focus optical coherence microscopy (xfOCM) to image murine pancreatic islets in their natural environment in situ, i.e. in vivo and in a label-free condition. METHODS Ex vivo measurements on excised pancreases were performed and validated by standard immunohistochemistry to investigate the structures that can be observed with xfOCM. The influence of streptozotocin on the signature of the islets was investigated in a second step. Finally, xfOCM was applied to make measurements of the murine pancreas in situ and in vivo. RESULTS xfOCM circumvents the fundamental physical limit that trades lateral resolution for depth of field, and achieves fast volumetric imaging with high resolution in all three dimensions. It allows label-free visualisation of pancreatic lobules, ducts, blood vessels and individual islets of Langerhans ex vivo and in vivo, and detects streptozotocin-induced islet destruction. CONCLUSIONS/INTERPRETATION Our results demonstrate the potential value of xfOCM in high-resolution in vivo studies to assess islet structure and function in animal models of diabetes, aiming towards its use in longitudinal studies of diabetes progression and islet transplants.
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Affiliation(s)
- M Villiger
- Laboratoire d'Optique Biomédicale, Ecole Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland.
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Abstract
Noninvasive imaging and quantification of pancreatic, insulin-producing beta cells has been considered a high-priority field of investigation for the past decade. In the first review on this issue, attention was already paid to various agents for labeling beta cells, including 6-(125)I-D-glucose, (65)Zn, (3)H-glibenclamide, (3)H-mitiglinide, an (125)I-labeled mouse monoclonal antibody against beta-cell surface ganglioside(s), D-(U-(14)C)-glucose and 2-deoxy-2-(18)F-D-glucose to label glycogen accumulated in beta cells in response to sustained hyperglycemia, and, last but not least, an analog of D-mannoheptulose. This Review discusses these methods and further contributions. For instance, emphasis is placed on labeling beta cells with (11)C-dihydrotetrabenazine, which is the most advanced method at present. Attention is also drawn to the latest approaches for noninvasive imaging and functional characterization of pancreatic beta cells. None of these procedures is used in clinical practice yet.
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Current literature in diabetes. Diabetes Metab Res Rev 2009; 25:i-xii. [PMID: 19405078 DOI: 10.1002/dmrr.973] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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20
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Affiliation(s)
- K Coppieters
- The La Jolla Institute for Allergy and Immunology, 9420 Athena Circle, La Jolla, CA 92037, USA
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