Hippocampal Astrocyte Morphology Follows an Unexpected Trajectory With Age in a Transgenic Rodent Model of Tauopathy
Year: 2025
Type: article
Abstract: Individual protoplasmic astrocytes have very complex and diverse spongiform shapes. The morphological diversity of astrocytes is determined by the structural and functional interactions of the astrocyte with its microenvironment. When faced with pathological conditions, astrocytes reorganize their morphology. Yet, little is known about the astrocytic response in pure tauopathies and its evolution over time. Here, we aimed to investigate the consequences of a primary neuronal tau pathology on astrocyte fine morphology at three stages of the disease using the transgenic Thy-Tau22 mouse model. We first showed that hippocampal astrocytes in Thy-Tau22 mice progressively accumulate hyperphosphorylated tau with age. We then developed a pipeline of analyses, including 3D reconstruction of hippocampal tdTomato-labeled astrocytes via a PHP.eB adeno-associated virus, confocal microscopy, Imaris software morphometric analysis, and an advanced statistical analysis. During normal aging, the complexity of astrocyte morphology peaked at adulthood, then declined. In contrast, in Thy-Tau22 mice, tauopathy was associated with a simpler initial morphology, followed by the appearance of a cluster of complex cells at the most advanced stage. Using principal component analysis and hierarchical clustering based on 10 morphological features, we were able to identify different astrocyte morphotypes whose relative proportion varies differently with age between WT and Thy-Tau22 mice. Interestingly, we revealed that a fraction of astrocytes with a complex morphology re-emerges late in tauopathy-affected animals. Our data highlight the concept of significant and reversible structural plasticity of astrocytes when faced with chronic pathological conditions.
Source: Glia
DOI: 10.1002/glia.70019
Authors: Emma Augustin, Tatiana Vinasco‐Sandoval, Miriam Riquelme‐Perez, Damien Plassard, Mylène Gaudin, Gwenaëlle Aurégan, Julien Mitja, Sueva Bernier, Charlène Joséphine, Fanny Petit, Caroline Jan, Anne‐Sophie Hérard, Marie‐Claude Gaillard, Agathe Launay, Emilie Faivre, Luc Buée, Anne‐Laurence Boutillier, David Blum, Alexis‐Pierre Bemelmans, Gilles Bonvento, Karine Cambon
Institutions: Centre National de la Recherche Scientifique, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Paris-Saclay, Laboratoire des Maladies Neurodégénératives, Molecular Imaging Research Center, Direction de la Recherche Fondamentale, Inserm, Institut de génétique et de biologie moléculaire et cellulaire, Université de Strasbourg, Institut des Neurosciences Paris-Saclay, Université de Lille, Centre Hospitalier Universitaire de Lille, LabEx DISTALZ, Laboratoire de Neurosciences Cognitives et Adaptatives
Language: English
Subfield: Physiology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,450
OpenAlex ID: W4408748695
