Validating a minipig model of reversible cerebral demyelination using human diagnostic modalities and electron microscopy

  • Background Inflammatory demyelinating diseases of the central nervous system, such as multiple sclerosis, are significant sources of morbidity in young adults despite therapeutic advances. Current murine models of remyelination have limited applicability due to the low white matter content of their brains, which restricts the spatial resolution of diagnostic imaging. Large animal models might be more suitable but pose significant technological, ethical and logistical challenges. Methods We induced targeted cerebral demyelinating lesions by serially repeated injections of lysophosphatidylcholine in the minipig brain. Lesions were amenable to follow-up using the same clinical imaging modalities (3T magnetic resonance imaging, 11C-PIB positron emission tomography) and standard histopathology protocols as for human diagnostics (myelin, glia and neuronal cell markers), as well as electron microscopy (EM), to compare against biopsy data from two patients. Findings We demonstrateBackground Inflammatory demyelinating diseases of the central nervous system, such as multiple sclerosis, are significant sources of morbidity in young adults despite therapeutic advances. Current murine models of remyelination have limited applicability due to the low white matter content of their brains, which restricts the spatial resolution of diagnostic imaging. Large animal models might be more suitable but pose significant technological, ethical and logistical challenges. Methods We induced targeted cerebral demyelinating lesions by serially repeated injections of lysophosphatidylcholine in the minipig brain. Lesions were amenable to follow-up using the same clinical imaging modalities (3T magnetic resonance imaging, 11C-PIB positron emission tomography) and standard histopathology protocols as for human diagnostics (myelin, glia and neuronal cell markers), as well as electron microscopy (EM), to compare against biopsy data from two patients. Findings We demonstrate controlled, clinically unapparent, reversible and multimodally trackable brain white matter demyelination in a large animal model. De-/remyelination dynamics were slower than reported for rodent models and paralleled by a degree of secondary axonal pathology. Regression modelling of ultrastructural parameters (g-ratio, axon thickness) predicted EM features of cerebral de- and remyelination in human data. Interpretation We validated our minipig model of demyelinating brain diseases by employing human diagnostic tools and comparing it with biopsy data from patients with cerebral demyelination. Funding This work was supported by the DFG under Germany's Excellence Strategy within the framework of the Munich Cluster for Systems Neurology (EXC 2145 SyNergy, ID 390857198) and TRR 274/1 2020, 408885537 (projects B03 and Z01).show moreshow less

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Author:Mihai Ancău, Goutam Kumar Tanti, Vicki Marie Butenschoen, Jens Gempt, Igor Yakushev, Stephan Nekolla, Mark Mühlau, Christian Scheunemann, Sebastian Heininger, Benjamin Löwe, Erik Löwe, Silke Baer, Johannes Fischer, Judith Reiser, Sai S. Ayachit, Friederike Liesche-Starnecker, Jürgen Schlegel, Kaspar Matiasek, Martina Schifferer, Jan S. Kirschke, Thomas Misgeld, Tim Lueth, Bernhard Hemmer
URN:urn:nbn:de:bvb:384-opus4-1111579
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/111157
ISSN:2352-3964OPAC
Parent Title (English):eBioMedicine
Publisher:Elsevier BV
Type:Article
Language:English
Year of first Publication:2024
Publishing Institution:Universität Augsburg
Release Date:2024/02/12
Tag:General Biochemistry, Genetics and Molecular Biology; General Medicine
Volume:100
First Page:104982
DOI:https://doi.org/10.1016/j.ebiom.2024.104982
Institutes:Medizinische Fakultät
Medizinische Fakultät / Universitätsklinikum
Medizinische Fakultät / Lehrstuhl für Allgemeine und Spezielle Pathologie
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 61 Medizin und Gesundheit / 610 Medizin und Gesundheit
Licence (German):CC-BY-NC-ND 4.0: Creative Commons: Namensnennung - Nicht kommerziell - Keine Bearbeitung (mit Print on Demand)