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Paveliev M, Egorchev AA, Musin F, Lipachev N, Melnikova A, Gimadutdinov RM, Kashipov AR, Molotkov D, Chickrin DE, Aganov AV. Perineuronal Net Microscopy: From Brain Pathology to Artificial Intelligence. Int J Mol Sci 2024; 25:4227. [PMID: 38673819 PMCID: PMC11049984 DOI: 10.3390/ijms25084227] [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] [Received: 02/02/2024] [Revised: 03/31/2024] [Accepted: 04/05/2024] [Indexed: 04/28/2024] Open
Abstract
Perineuronal nets (PNN) are a special highly structured type of extracellular matrix encapsulating synapses on large populations of CNS neurons. PNN undergo structural changes in schizophrenia, epilepsy, Alzheimer's disease, stroke, post-traumatic conditions, and some other brain disorders. The functional role of the PNN microstructure in brain pathologies has remained largely unstudied until recently. Here, we review recent research implicating PNN microstructural changes in schizophrenia and other disorders. We further concentrate on high-resolution studies of the PNN mesh units surrounding synaptic boutons to elucidate fine structural details behind the mutual functional regulation between the ECM and the synaptic terminal. We also review some updates regarding PNN as a potential pharmacological target. Artificial intelligence (AI)-based methods are now arriving as a new tool that may have the potential to grasp the brain's complexity through a wide range of organization levels-from synaptic molecular events to large scale tissue rearrangements and the whole-brain connectome function. This scope matches exactly the complex role of PNN in brain physiology and pathology processes, and the first AI-assisted PNN microscopy studies have been reported. To that end, we report here on a machine learning-assisted tool for PNN mesh contour tracing.
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Affiliation(s)
- Mikhail Paveliev
- Neuroscience Center, University of Helsinki, Haartmaninkatu 8, 00290 Helsinki, Finland
| | - Anton A. Egorchev
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Foat Musin
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Nikita Lipachev
- Institute of Physics, Kazan Federal University, Kremlyovskaya 16a, Kazan 420008, Tatarstan, Russia; (N.L.); (A.V.A.)
| | - Anastasiia Melnikova
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Karl Marx 74, Kazan 420015, Tatarstan, Russia;
| | - Rustem M. Gimadutdinov
- Institute of Computational Mathematics and Information Technologies, Kazan Federal University, Kremlyovskaya 35, Kazan 420008, Tatarstan, Russia; (A.A.E.); (F.M.); (R.M.G.)
| | - Aidar R. Kashipov
- Institute of Artificial Intelligence, Robotics and Systems Engineering, Kazan Federal University, Kremlyovskaya 18, Kazan 420008, Tatarstan, Russia; (A.R.K.); (D.E.C.)
| | - Dmitry Molotkov
- Biomedicum Imaging Unit, University of Helsinki, Haartmaninkatu 8, 00014 Helsinki, Finland;
| | - Dmitry E. Chickrin
- Institute of Artificial Intelligence, Robotics and Systems Engineering, Kazan Federal University, Kremlyovskaya 18, Kazan 420008, Tatarstan, Russia; (A.R.K.); (D.E.C.)
| | - Albert V. Aganov
- Institute of Physics, Kazan Federal University, Kremlyovskaya 16a, Kazan 420008, Tatarstan, Russia; (N.L.); (A.V.A.)
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Tewari BP, Chaunsali L, Prim CE, Sontheimer H. A glial perspective on the extracellular matrix and perineuronal net remodeling in the central nervous system. Front Cell Neurosci 2022; 16:1022754. [PMID: 36339816 PMCID: PMC9630365 DOI: 10.3389/fncel.2022.1022754] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 09/23/2022] [Indexed: 11/18/2022] Open
Abstract
A structural scaffold embedding brain cells and vasculature is known as extracellular matrix (ECM). The physical appearance of ECM in the central nervous system (CNS) ranges from a diffused, homogeneous, amorphous, and nearly omnipresent matrix to highly organized distinct morphologies such as basement membranes and perineuronal nets (PNNs). ECM changes its composition and organization during development, adulthood, aging, and in several CNS pathologies. This spatiotemporal dynamic nature of the ECM and PNNs brings a unique versatility to their functions spanning from neurogenesis, cell migration and differentiation, axonal growth, and pathfinding cues, etc., in the developing brain, to stabilizing synapses, neuromodulation, and being an active partner of tetrapartite synapses in the adult brain. The malleability of ECM and PNNs is governed by both intrinsic and extrinsic factors. Glial cells are among the major extrinsic factors that facilitate the remodeling of ECM and PNN, thereby acting as key regulators of diverse functions of ECM and PNN in health and diseases. In this review, we discuss recent advances in our understanding of PNNs and how glial cells are central to ECM and PNN remodeling in normal and pathological states of the CNS.
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Dankovich TM, Kaushik R, Olsthoorn LHM, Petersen GC, Giro PE, Kluever V, Agüi-Gonzalez P, Grewe K, Bao G, Beuermann S, Hadi HA, Doeren J, Klöppner S, Cooper BH, Dityatev A, Rizzoli SO. Extracellular matrix remodeling through endocytosis and resurfacing of Tenascin-R. Nat Commun 2021; 12:7129. [PMID: 34880248 PMCID: PMC8654841 DOI: 10.1038/s41467-021-27462-7] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2020] [Accepted: 11/19/2021] [Indexed: 01/22/2023] Open
Abstract
The brain extracellular matrix (ECM) consists of extremely long-lived proteins that assemble around neurons and synapses, to stabilize them. The ECM is thought to change only rarely, in relation to neuronal plasticity, through ECM proteolysis and renewed protein synthesis. We report here an alternative ECM remodeling mechanism, based on the recycling of ECM molecules. Using multiple ECM labeling and imaging assays, from super-resolution optical imaging to nanoscale secondary ion mass spectrometry, both in culture and in brain slices, we find that a key ECM protein, Tenascin-R, is frequently endocytosed, and later resurfaces, preferentially near synapses. The TNR molecules complete this cycle within ~3 days, in an activity-dependent fashion. Interfering with the recycling process perturbs severely neuronal function, strongly reducing synaptic vesicle exo- and endocytosis. We conclude that the neuronal ECM can be remodeled frequently through mechanisms that involve endocytosis and recycling of ECM proteins.
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Affiliation(s)
- Tal M. Dankovich
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany ,grid.4372.20000 0001 2105 1091International Max Planck Research School for Neuroscience, Göttingen, Germany
| | - Rahul Kaushik
- grid.424247.30000 0004 0438 0426Molecular Neuroplasticity, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ,grid.418723.b0000 0001 2109 6265Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany
| | - Linda H. M. Olsthoorn
- grid.4372.20000 0001 2105 1091International Max Planck Research School for Neuroscience, Göttingen, Germany ,grid.418140.80000 0001 2104 4211Max Planck Institute for Biophysical Chemistry, Göttingen, Germany
| | - Gabriel Cassinelli Petersen
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Philipp Emanuel Giro
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Verena Kluever
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Paola Agüi-Gonzalez
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Katharina Grewe
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Guobin Bao
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany ,grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute of Pharmacology and Toxicology, Göttingen, Germany
| | - Sabine Beuermann
- grid.419522.90000 0001 0668 6902Max Planck Institute for Experimental Medicine, Göttingen, Germany
| | - Hannah Abdul Hadi
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Jose Doeren
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Simon Klöppner
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany
| | - Benjamin H. Cooper
- grid.419522.90000 0001 0668 6902Max Planck Institute for Experimental Medicine, Göttingen, Germany
| | - Alexander Dityatev
- grid.424247.30000 0004 0438 0426Molecular Neuroplasticity, German Center for Neurodegenerative Diseases (DZNE), Magdeburg, Germany ,grid.418723.b0000 0001 2109 6265Center for Behavioral Brain Sciences (CBBS), Magdeburg, Germany ,grid.5807.a0000 0001 1018 4307Medical Faculty, Otto von Guericke University, Magdeburg, Germany
| | - Silvio O. Rizzoli
- grid.411984.10000 0001 0482 5331University Medical Center Göttingen, Institute for Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, Göttingen, Germany ,Biostructural Imaging of Neurodegeneration (BIN) Center, Göttingen, Germany
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Extracellular Matrix in Neural Plasticity and Regeneration. Cell Mol Neurobiol 2020; 42:647-664. [PMID: 33128689 DOI: 10.1007/s10571-020-00986-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Accepted: 10/22/2020] [Indexed: 12/19/2022]
Abstract
The extracellular matrix (ECM) is a fundamental component of biological tissues. The ECM in the central nervous system (CNS) is unique in both composition and function. Functions such as learning, memory, synaptogenesis, and plasticity are regulated by numerous ECM molecules. The neural ECM acts as a non-specific physical barrier that modulates neuronal plasticity and axon regeneration. There are two specialized types of ECM in the CNS, diffuse perisynaptic ECM and condensed ECM, which selectively surround the perikaryon and initial part of dendritic trees in subtypes of neurons, forming perineuronal nets. This review presents the current knowledge about the role of important neuronal ECM molecules in maintaining the basic functions of a neuron, including electrogenesis and the ability to form neural circuits. The review mainly focuses on the role of ECM components that participate in the control of key events such as cell survival, axonal growth, and synaptic remodeling. Particular attention is drawn to the numerous molecular partners of the main ECM components. These regulatory molecules are integrated into the cell membrane or disposed into the matrix itself in solid or soluble form. The interaction of the main matrix components with molecular partners seems essential in molecular mechanisms controlling neuronal functions. Special attention is paid to the chondroitin sulfate proteoglycan 4, type 1 transmembrane protein, neural-glial antigen 2 (NG2/CSPG4), whose cleaved extracellular domain is such a molecular partner that it not only acts directly on neural and vascular cells, but also exerts its influence indirectly by binding to resident ECM molecules.
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Lipachev N, Arnst N, Melnikova A, Jäälinoja H, Kochneva A, Zhigalov A, Kulesskaya N, Aganov AV, Mavlikeev M, Rauvala H, Kiyasov AP, Paveliev M. Quantitative changes in perineuronal nets in development and posttraumatic condition. J Mol Histol 2019; 50:203-216. [PMID: 30903543 DOI: 10.1007/s10735-019-09818-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2018] [Accepted: 03/11/2019] [Indexed: 11/30/2022]
Abstract
Perineuronal net (PNN) is a highly structured portion of the CNS extracellular matrix (ECM) regulating synaptic plasticity and a range of pathologic conditions including posttraumatic regeneration and epilepsy. Here we studied Wisteria floribunda agglutinin-stained histological sections to quantify the PNN size and enrichment of chondroitin sulfates in mouse brain and spinal cord. Somatosensory cortex sections were examined during the period of PNN establishment at postnatal days 14, 21 and 28. The single cell PNN size and the chondroitin sulfate intensity were quantified for all cortex layers and specifically for the cortical layer IV which has the highest density of PNN-positive neurons. We demonstrate that the chondroitin sulfate proteoglycan staining intensity is increased between P14 and P28 while the PNN size remains unchanged. We then addressed posttraumatic changes of the PNN expression in laminae 6 and 7 of cervical spinal cord following hemisection injury. We demonstrate increase of the chondroitin sulfate content at 1.6-1.8 mm rostrally from the injury site and increase of the density of PNN-bearing cells at 0.4-1.2 mm caudally from the injury site. We further demonstrate decrease of the single cell PNN area at 0.2 mm caudally from the injury site suggesting that the PNN ECM takes part in the posttraumatic tissue rearrangement in the spinal cord. Our results demonstrate new insights on the PNN structure dynamics in the developing and posttraumatic CNS.
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Affiliation(s)
- Nikita Lipachev
- Neuroscience Center, University of Helsinki, Viikinkaari 4, P.O.Box 56, 00790, Helsinki, Finland.,Institute of Physics, Kazan Federal University, Kazan Kremlyovskaya 16a, Tatarstan, Russia, 420111
| | - Nikita Arnst
- Neuroscience Center, University of Helsinki, Viikinkaari 4, P.O.Box 56, 00790, Helsinki, Finland.,Institut für Biochemie und Biophysik, Friedrich-Schiller-Universität Jena, Hans-Knöll-Str.2, 07745, Jena, Germany
| | - Anastasiia Melnikova
- Neuroscience Center, University of Helsinki, Viikinkaari 4, P.O.Box 56, 00790, Helsinki, Finland.,Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan K.Marx 74, Tatarstan, Russia, 420012
| | - Harri Jäälinoja
- Institute of Biotechnology, University of Helsinki, Viikinkaari 9, P.O.Box 56, 00790, Helsinki, Finland
| | - Anastasiya Kochneva
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan K.Marx 74, Tatarstan, Russia, 420012
| | - Alexander Zhigalov
- Neuroscience Center, University of Helsinki, Viikinkaari 4, P.O.Box 56, 00790, Helsinki, Finland
| | - Natalia Kulesskaya
- Neuroscience Center, University of Helsinki, Viikinkaari 4, P.O.Box 56, 00790, Helsinki, Finland
| | - Albert V Aganov
- Institute of Physics, Kazan Federal University, Kazan Kremlyovskaya 16a, Tatarstan, Russia, 420111
| | - Mikhail Mavlikeev
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan K.Marx 74, Tatarstan, Russia, 420012
| | - Heikki Rauvala
- Neuroscience Center, University of Helsinki, Viikinkaari 4, P.O.Box 56, 00790, Helsinki, Finland
| | - Andrey P Kiyasov
- Institute of Fundamental Medicine and Biology, Kazan Federal University, Kazan K.Marx 74, Tatarstan, Russia, 420012
| | - Mikhail Paveliev
- Neuroscience Center, University of Helsinki, Viikinkaari 4, P.O.Box 56, 00790, Helsinki, Finland. .,Danish Research Institute of Translational Neuroscience, Aarhus University, Ole Worms Allé 3, 8000, Aarhus C, Denmark.
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