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Banovac I, Prkačin MV, Kirchbaum I, Trnski-Levak S, Bobić-Rasonja M, Sedmak G, Petanjek Z, Jovanov-Milosevic N. Morphological and Molecular Characteristics of Perineuronal Nets in the Human Prefrontal Cortex-A Possible Link to Microcircuitry Specialization. Mol Neurobiol 2024:10.1007/s12035-024-04306-1. [PMID: 38958887 DOI: 10.1007/s12035-024-04306-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Accepted: 06/13/2024] [Indexed: 07/04/2024]
Abstract
Perineuronal nets (PNNs) are a type of extracellular matrix (ECM) that play a significant role in synaptic activity and plasticity of interneurons in health and disease. We researched PNNs' regional and laminar representation and molecular composition using immunohistochemistry and transcriptome analysis of Brodmann areas (BA) 9, 14r, and 24 in 25 human postmortem brains aged 13-82 years. The numbers of VCAN- and NCAN-expressing PNNs, relative to the total number of neurons, were highest in cortical layers I and VI while WFA-binding (WFA+) PNNs were most abundant in layers III-V. The ECM glycosylation pattern was the most pronounced regional difference, shown by a significantly lower proportion of WFA+ PNNs in BA24 (3.27 ± 0.69%) compared to BA9 (6.32 ± 1.73%; P = 0.0449) and BA14 (5.64 ± 0.71%; P = 0.0278). The transcriptome of late developmental and mature stages revealed a relatively stable expression of PNN-related transcripts (log2-transformed expression values: 6.5-8.5 for VCAN and 8.0-9.5 for NCAN). Finally, we propose a classification of PNNs that envelop GABAergic neurons in the human cortex. The significant differences in PNNs' morphology, distribution, and molecular composition strongly suggest an involvement of PNNs in specifying distinct microcircuits in particular cortical regions and layers.
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Affiliation(s)
- Ivan Banovac
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia
| | - Matija Vid Prkačin
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia
| | - Ivona Kirchbaum
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
| | - Sara Trnski-Levak
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
| | - Mihaela Bobić-Rasonja
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Department of Biology, University of Zagreb School of Medicine, Šalata 3, HR-10000, Zagreb, Croatia
| | - Goran Sedmak
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
| | - Zdravko Petanjek
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia
| | - Natasa Jovanov-Milosevic
- Department of Anatomy and Clinical Anatomy, University of Zagreb School of Medicine, Šalata 11, HR-10000, Zagreb, Croatia.
- Croatian Institute for Brain Research, Scientific Centre of Excellence for Basic, Clinical and Translational Neuroscience, School of Medicine University of Zagreb, Šalata 12, HR-10000, Zagreb, Croatia.
- Department of Biology, University of Zagreb School of Medicine, Šalata 3, HR-10000, Zagreb, Croatia.
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2
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Wang M, Jendrichovsky P, Kanold PO. Auditory discrimination learning differentially modulates neural representation in auditory cortex subregions and inter-areal connectivity. Cell Rep 2024; 43:114172. [PMID: 38703366 DOI: 10.1016/j.celrep.2024.114172] [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: 08/30/2023] [Revised: 02/06/2024] [Accepted: 04/16/2024] [Indexed: 05/06/2024] Open
Abstract
Changes in sound-evoked responses in the auditory cortex (ACtx) occur during learning, but how learning alters neural responses in different ACtx subregions and changes their interactions is unclear. To address these questions, we developed an automated training and widefield imaging system to longitudinally track the neural activity of all mouse ACtx subregions during a tone discrimination task. We find that responses in primary ACtx are highly informative of learned stimuli and behavioral outcomes throughout training. In contrast, representations of behavioral outcomes in the dorsal posterior auditory field, learned stimuli in the dorsal anterior auditory field, and inter-regional correlations between primary and higher-order areas are enhanced with training. Moreover, ACtx response changes vary between stimuli, and such differences display lag synchronization with the learning rate. These results indicate that learning alters functional connections between ACtx subregions, inducing region-specific modulations by propagating behavioral information from primary to higher-order areas.
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Affiliation(s)
- Mingxuan Wang
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Peter Jendrichovsky
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA
| | - Patrick O Kanold
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21205, USA; Kavli Neuroscience Discovery Institute, Johns Hopkins University, Baltimore, MD 21205, USA.
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3
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Graham G, Chimenti MS, Knudtson KL, Grenard DN, Co L, Sumner M, Tchou T, Bieszczad KM. Learning induces unique transcriptional landscapes in the auditory cortex. Hear Res 2023; 438:108878. [PMID: 37659220 PMCID: PMC10529106 DOI: 10.1016/j.heares.2023.108878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 08/11/2023] [Accepted: 08/18/2023] [Indexed: 09/04/2023]
Abstract
Learning can induce neurophysiological plasticity in the auditory cortex at multiple timescales. Lasting changes to auditory cortical function that persist over days, weeks, or even a lifetime, require learning to induce de novo gene expression. Indeed, transcription is the molecular determinant for long-term memories to form with a lasting impact on sound-related behavior. However, auditory cortical genes that support auditory learning, memory, and acquired sound-specific behavior are largely unknown. Using an animal model of adult, male Sprague-Dawley rats, this report is the first to identify genome-wide changes in learning-induced gene expression within the auditory cortex that may underlie long-lasting discriminative memory formation of acoustic frequency cues. Auditory cortical samples were collected from animals in the initial learning phase of a two-tone discrimination sound-reward task known to induce sound-specific neurophysiological and behavioral effects. Bioinformatic analyses on gene enrichment profiles from bulk RNA sequencing identified cholinergic synapse (KEGG rno04725), extra-cellular matrix receptor interaction (KEGG rno04512), and neuroactive receptor interaction (KEGG rno04080) among the top biological pathways are likely to be important for auditory discrimination learning. The findings characterize candidate effectors underlying the early stages of changes in cortical and behavioral function to ultimately support the formation of long-term discriminative auditory memory in the adult brain. The molecules and mechanisms identified are potential therapeutic targets to facilitate experiences that induce long-lasting changes to sound-specific auditory function in adulthood and prime for future gene-targeted investigations.
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Affiliation(s)
- G Graham
- Neuroscience Graduate Program, Rutgers Univ., Piscataway, NJ, USA; Behavioral and Systems Neuroscience, Dept. of Psychology, Rutgers Univ., Piscataway, NJ, USA
| | - M S Chimenti
- Iowa Institute of Human Genetics, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - K L Knudtson
- Iowa Institute of Human Genetics, University of Iowa Carver College of Medicine, Iowa City, IA, USA
| | - D N Grenard
- Behavioral and Systems Neuroscience, Dept. of Psychology, Rutgers Univ., Piscataway, NJ, USA
| | - L Co
- Behavioral and Systems Neuroscience, Dept. of Psychology, Rutgers Univ., Piscataway, NJ, USA
| | - M Sumner
- Behavioral and Systems Neuroscience, Dept. of Psychology, Rutgers Univ., Piscataway, NJ, USA
| | - T Tchou
- Behavioral and Systems Neuroscience, Dept. of Psychology, Rutgers Univ., Piscataway, NJ, USA
| | - K M Bieszczad
- Neuroscience Graduate Program, Rutgers Univ., Piscataway, NJ, USA; Behavioral and Systems Neuroscience, Dept. of Psychology, Rutgers Univ., Piscataway, NJ, USA; Rutgers Center for Cognitive Science, Rutgers Univ., Piscataway, NJ, USA; Dept. of Otolaryngology-Head and Neck Surgery, Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, USA.
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4
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Fawcett JW, Fyhn M, Jendelova P, Kwok JCF, Ruzicka J, Sorg BA. The extracellular matrix and perineuronal nets in memory. Mol Psychiatry 2022; 27:3192-3203. [PMID: 35760878 PMCID: PMC9708575 DOI: 10.1038/s41380-022-01634-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 05/09/2022] [Accepted: 05/16/2022] [Indexed: 02/06/2023]
Abstract
All components of the CNS are surrounded by a diffuse extracellular matrix (ECM) containing chondroitin sulphate proteoglycans (CSPGs), heparan sulphate proteoglycans (HSPGs), hyaluronan, various glycoproteins including tenascins and thrombospondin, and many other molecules that are secreted into the ECM and bind to ECM components. In addition, some neurons, particularly inhibitory GABAergic parvalbumin-positive (PV) interneurons, are surrounded by a more condensed cartilage-like ECM called perineuronal nets (PNNs). PNNs surround the soma and proximal dendrites as net-like structures that surround the synapses. Attention has focused on the role of PNNs in the control of plasticity, but it is now clear that PNNs also play an important part in the modulation of memory. In this review we summarize the role of the ECM, particularly the PNNs, in the control of various types of memory and their participation in memory pathology. PNNs are now being considered as a target for the treatment of impaired memory. There are many potential treatment targets in PNNs, mainly through modulation of the sulphation, binding, and production of the various CSPGs that they contain or through digestion of their sulphated glycosaminoglycans.
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Affiliation(s)
- James W Fawcett
- John van Geest Centre for Brain Repair, Department Clinical Neurosciences, University of Cambridge, Cambridge, CB2 0PY, UK.
- Centre for Reconstructive Neuroscience, Institute for Experimental Medicine CAS, Videnska 1083, Prague 4, Prague, Czech Republic.
| | - Marianne Fyhn
- Department of Biosciences, University of Oslo, Oslo, Norway
| | - Pavla Jendelova
- Centre for Reconstructive Neuroscience, Institute for Experimental Medicine CAS, Videnska 1083, Prague 4, Prague, Czech Republic
| | - Jessica C F Kwok
- Centre for Reconstructive Neuroscience, Institute for Experimental Medicine CAS, Videnska 1083, Prague 4, Prague, Czech Republic
- School of Biomedical Sciences, University of Leeds, Leeds, LS2 9JT, UK
| | - Jiri Ruzicka
- Centre for Reconstructive Neuroscience, Institute for Experimental Medicine CAS, Videnska 1083, Prague 4, Prague, Czech Republic
| | - Barbara A Sorg
- Robert S. Dow Neurobiology Laboratories, Legacy Research Institute, Portland, OR, USA
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5
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Dankovich TM, Rizzoli SO. Extracellular Matrix Recycling as a Novel Plasticity Mechanism With a Potential Role in Disease. Front Cell Neurosci 2022; 16:854897. [PMID: 35431813 PMCID: PMC9008140 DOI: 10.3389/fncel.2022.854897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 02/09/2022] [Indexed: 11/13/2022] Open
Abstract
The extracellular matrix (ECM) stabilizes neural circuits and synapses in the healthy brain, while also retaining the ability to be remodeled, to allow synapses to be plastic. A well-described mechanism for ECM remodeling is through the regulated secretion of proteolytic enzymes at the synapse, together with the synthesis of new ECM molecules. The importance of this process is evidenced by the large number of brain disorders that are associated with a dysregulation of ECM-cleaving protease activity. While most of the brain ECM molecules are indeed stable for remarkable time periods, evidence in other cell types, as cancer cells, suggests that at least a proportion of the ECM molecules may be endocytosed regularly, and could even be recycled back to the ECM. In this review, we discuss the involvement of such a mechanism in the brain, under physiological activity conditions and in relation to synapse and brain disease.
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Affiliation(s)
- Tal M. Dankovich
- Institute of Neuro- and Sensory Physiology, University Medical Center Göttingen, Göttingen, Germany
- International Max Planck Research School for Neurosciences, Göttingen, Germany
- *Correspondence: Tal M. Dankovich,
| | - Silvio O. Rizzoli
- Institute of Neuro- and Sensory Physiology, University Medical Center Göttingen, Göttingen, Germany
- Biostructural Imaging of Neurodegeneration (BIN) Center & Multiscale Bioimaging Excellence Center, Göttingen, Germany
- Silvio O. Rizzoli,
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6
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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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7
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The extracellular matrix regulates cortical layer dynamics and cross-columnar frequency integration in the auditory cortex. Commun Biol 2021; 4:322. [PMID: 33692502 PMCID: PMC7946889 DOI: 10.1038/s42003-021-01837-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2020] [Accepted: 02/11/2021] [Indexed: 01/31/2023] Open
Abstract
In the adult vertebrate brain, enzymatic removal of the extracellular matrix (ECM) is increasingly recognized to promote learning, memory recall, and restorative plasticity. The impact of the ECM on translaminar dynamics during cortical circuit processing is still not understood. Here, we removed the ECM in the primary auditory cortex (ACx) of adult Mongolian gerbils using local injections of hyaluronidase (HYase). Using laminar current-source density (CSD) analysis, we found layer-specific changes of the spatiotemporal synaptic patterns with increased cross-columnar integration and simultaneous weakening of early local sensory input processing within infragranular layers Vb. These changes had an oscillatory fingerprint within beta-band (25-36 Hz) selectively within infragranular layers Vb. To understand the laminar interaction dynamics after ECM digestion, we used time-domain conditional Granger causality (GC) measures to identify the increased drive of supragranular layers towards deeper infragranular layers. These results showed that ECM degradation altered translaminar cortical network dynamics with a stronger supragranular lead of the columnar response profile.
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8
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Duncan BW, Murphy KE, Maness PF. Molecular Mechanisms of L1 and NCAM Adhesion Molecules in Synaptic Pruning, Plasticity, and Stabilization. Front Cell Dev Biol 2021; 9:625340. [PMID: 33585481 PMCID: PMC7876315 DOI: 10.3389/fcell.2021.625340] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2020] [Accepted: 01/04/2021] [Indexed: 11/13/2022] Open
Abstract
Mammalian brain circuits are wired by dynamic formation and remodeling during development to produce a balance of excitatory and inhibitory synapses. Synaptic regulation is mediated by a complex network of proteins including immunoglobulin (Ig)- class cell adhesion molecules (CAMs), structural and signal-transducing components at the pre- and post-synaptic membranes, and the extracellular protein matrix. This review explores the current understanding of developmental synapse regulation mediated by L1 and NCAM family CAMs. Excitatory and inhibitory synapses undergo formation and remodeling through neuronal CAMs and receptor-ligand interactions. These responses result in pruning inactive dendritic spines and perisomatic contacts, or synaptic strengthening during critical periods of plasticity. Ankyrins engage neural adhesion molecules of the L1 family (L1-CAMs) to promote synaptic stability. Chondroitin sulfates, hyaluronic acid, tenascin-R, and linker proteins comprising the perineuronal net interact with L1-CAMs and NCAM, stabilizing synaptic contacts and limiting plasticity as critical periods close. Understanding neuronal adhesion signaling and synaptic targeting provides insight into normal development as well as synaptic connectivity disorders including autism, schizophrenia, and intellectual disability.
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Affiliation(s)
- Bryce W Duncan
- Department of Biochemistry and Biophysics, Neuroscience Research Center, Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Kelsey E Murphy
- Department of Biochemistry and Biophysics, Neuroscience Research Center, Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, Chapel Hill, NC, United States
| | - Patricia F Maness
- Department of Biochemistry and Biophysics, Neuroscience Research Center, Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, Chapel Hill, NC, United States
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9
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Donepezil attenuates vascular dementia in rats through increasing BDNF induced by reducing HDAC6 nuclear translocation. Acta Pharmacol Sin 2020; 41:588-598. [PMID: 31913348 PMCID: PMC7470853 DOI: 10.1038/s41401-019-0334-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Accepted: 11/18/2019] [Indexed: 02/07/2023] Open
Abstract
Vascular dementia (VD) is the second most common dementia disease after Alzheimer's diseases (AD) in the world. Donepezil is used to treat mild to moderate AD, and it has been shown to treat cognitive impairment and memory deficits caused by VD. However, the action mechanism of donepezil against VD has not been clarified. In this study, a bilateral common carotid artery occlusion (BCCAO) model was established in rats to simulate the pathology of VD. Two weeks after the surgery, the rats were administered donepezil (10 mg · kg-1 · d-1, ig) for 3 weeks, and then subjected to behavioral tests. We showed that donepezil treatment significantly improved the performance of BCCAO rats in Morris Water Mazes test and Step-down test. Furthermore, we showed that donepezil treatment significantly attenuated neurodegeneration and restored the synapse dendritic spines density in cortex and hippocampus. We revealed that donepezil treatment significantly increased BDNF expression in cortex and hippocampus. Interestingly, donepezil treatment significantly decreased nuclear translocation of HDAC6 and the binding between HDAC6 and BDNF promoter IV in cortex, but not in the hippocampus. The attenuated neurodegeneration by donepezil in cortex and hippocampus might due to the reduced ROS levels and increased phosphorylation of AMPK, whereas increased phosphorylation of AKT was only detected in cortex. In conclusion, our results demonstrate that donepezil attenuates neurodegeneration in cortex and hippocampus via increasing BDNF expression; the regulation of donepezil on HDAC6 occurred in cortex, but not in the hippocampus. This study further clarifies the pharmacological mechanism of donepezil, while also emphasizes the promising epigenetic regulation of HDAC6.
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10
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Mitlöhner J, Kaushik R, Niekisch H, Blondiaux A, Gee CE, Happel MFK, Gundelfinger E, Dityatev A, Frischknecht R, Seidenbecher C. Dopamine Receptor Activation Modulates the Integrity of the Perisynaptic Extracellular Matrix at Excitatory Synapses. Cells 2020; 9:cells9020260. [PMID: 31972963 PMCID: PMC7073179 DOI: 10.3390/cells9020260] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2019] [Revised: 01/14/2020] [Accepted: 01/17/2020] [Indexed: 01/08/2023] Open
Abstract
In the brain, Hebbian-type and homeostatic forms of plasticity are affected by neuromodulators like dopamine (DA). Modifications of the perisynaptic extracellular matrix (ECM), which control the functions and mobility of synaptic receptors as well as the diffusion of transmitters and neuromodulators in the extracellular space, are crucial for the manifestation of plasticity. Mechanistic links between synaptic activation and ECM modifications are largely unknown. Here, we report that neuromodulation via D1-type DA receptors can induce targeted ECM proteolysis specifically at excitatory synapses of rat cortical neurons via proteases ADAMTS-4 and -5. We showed that receptor activation induces increased proteolysis of brevican (BC) and aggrecan, two major constituents of the adult ECM both in vivo and in vitro. ADAMTS immunoreactivity was detected near synapses, and shRNA-mediated knockdown reduced BC cleavage. We have outlined a molecular scenario of how synaptic activity and neuromodulation are linked to ECM rearrangements via increased cAMP levels, NMDA receptor activation, and intracellular calcium signaling.
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Affiliation(s)
- Jessica Mitlöhner
- Leibniz Institute for Neurobiology (LIN), Department of Neurochemistry and Molecular Biology, 39118 Magdeburg, Germany; (J.M.); (A.B.); (E.G.)
| | - Rahul Kaushik
- German Center for Neurodegenerative Diseases (DZNE), Molecular Neuroplasticity Group, 39120 Magdeburg, Germany;
- Center for Behavioral Brain Sciences (CBBS), 39120 Magdeburg, Germany
| | - Hartmut Niekisch
- Leibniz Institute for Neurobiology (LIN), Department of Systems Physiology of Learning, 39118 Magdeburg, Germany; (H.N.); (M.F.K.H.)
| | - Armand Blondiaux
- Leibniz Institute for Neurobiology (LIN), Department of Neurochemistry and Molecular Biology, 39118 Magdeburg, Germany; (J.M.); (A.B.); (E.G.)
| | - Christine E. Gee
- Center for Molecular Neurobiology Hamburg (ZMNH), Institute for Synaptic Physiology, 20251 Hamburg, Germany;
| | - Max F. K. Happel
- Leibniz Institute for Neurobiology (LIN), Department of Systems Physiology of Learning, 39118 Magdeburg, Germany; (H.N.); (M.F.K.H.)
| | - Eckart Gundelfinger
- Leibniz Institute for Neurobiology (LIN), Department of Neurochemistry and Molecular Biology, 39118 Magdeburg, Germany; (J.M.); (A.B.); (E.G.)
- Center for Behavioral Brain Sciences (CBBS), 39120 Magdeburg, Germany
- Otto-von-Guericke University, Medical Faculty, 39120 Magdeburg, Germany
| | - Alexander Dityatev
- German Center for Neurodegenerative Diseases (DZNE), Molecular Neuroplasticity Group, 39120 Magdeburg, Germany;
- Center for Behavioral Brain Sciences (CBBS), 39120 Magdeburg, Germany
- Otto-von-Guericke University, Medical Faculty, 39120 Magdeburg, Germany
- Correspondence: (A.D.); (R.F.); (C.S.); Tel.: +49-391 67-24526 (A.D.); +49-9131 85-28051 (R.F.); +49-391-6263-92401 (C.S.)
| | - Renato Frischknecht
- Leibniz Institute for Neurobiology (LIN), Department of Neurochemistry and Molecular Biology, 39118 Magdeburg, Germany; (J.M.); (A.B.); (E.G.)
- Center for Behavioral Brain Sciences (CBBS), 39120 Magdeburg, Germany
- Correspondence: (A.D.); (R.F.); (C.S.); Tel.: +49-391 67-24526 (A.D.); +49-9131 85-28051 (R.F.); +49-391-6263-92401 (C.S.)
| | - Constanze Seidenbecher
- Leibniz Institute for Neurobiology (LIN), Department of Neurochemistry and Molecular Biology, 39118 Magdeburg, Germany; (J.M.); (A.B.); (E.G.)
- Center for Behavioral Brain Sciences (CBBS), 39120 Magdeburg, Germany
- Otto-von-Guericke University, Medical Faculty, 39120 Magdeburg, Germany
- Correspondence: (A.D.); (R.F.); (C.S.); Tel.: +49-391 67-24526 (A.D.); +49-9131 85-28051 (R.F.); +49-391-6263-92401 (C.S.)
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Whelan CD, Mattsson N, Nagle MW, Vijayaraghavan S, Hyde C, Janelidze S, Stomrud E, Lee J, Fitz L, Samad TA, Ramaswamy G, Margolin RA, Malarstig A, Hansson O. Multiplex proteomics identifies novel CSF and plasma biomarkers of early Alzheimer's disease. Acta Neuropathol Commun 2019; 7:169. [PMID: 31694701 PMCID: PMC6836495 DOI: 10.1186/s40478-019-0795-2] [Citation(s) in RCA: 136] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/15/2019] [Accepted: 08/24/2019] [Indexed: 12/13/2022] Open
Abstract
To date, the development of disease-modifying therapies for Alzheimer’s disease (AD) has largely focused on the removal of amyloid beta Aβ fragments from the CNS. Proteomic profiling of patient fluids may help identify novel therapeutic targets and biomarkers associated with AD pathology. Here, we applied the Olink™ ProSeek immunoassay to measure 270 CSF and plasma proteins across 415 Aβ- negative cognitively normal individuals (Aβ- CN), 142 Aβ-positive CN (Aβ+ CN), 50 Aβ- mild cognitive impairment (MCI) patients, 75 Aβ+ MCI patients, and 161 Aβ+ AD patients from the Swedish BioFINDER study. A validation cohort included 59 Aβ- CN, 23 Aβ- + CN, 44 Aβ- MCI and 53 Aβ+ MCI. To compare protein concentrations in patients versus controls, we applied multiple linear regressions adjusting for age, gender, medications, smoking and mean subject-level protein concentration, and corrected findings for false discovery rate (FDR, q < 0.05). We identified, and replicated, altered levels of ten CSF proteins in Aβ+ individuals, including CHIT1, SMOC2, MMP-10, LDLR, CD200, EIF4EBP1, ALCAM, RGMB, tPA and STAMBP (− 0.14 < d < 1.16; q < 0.05). We also identified and replicated alterations of six plasma proteins in Aβ+ individuals OSM, MMP-9, HAGH, CD200, AXIN1, and uPA (− 0.77 < d < 1.28; q < 0.05). Multiple analytes associated with cognitive performance and cortical thickness (q < 0.05). Plasma biomarkers could distinguish AD dementia (AUC = 0.94, 95% CI = 0.87–0.98) and prodromal AD (AUC = 0.78, 95% CI = 0.68–0.87) from CN. These findings reemphasize the contributions of immune markers, phospholipids, angiogenic proteins and other biomarkers downstream of, and potentially orthogonal to, Aβ- and tau in AD, and identify candidate biomarkers for earlier detection of neurodegeneration.
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