Polysialic acid (PSA) is a linear homopolymer formed of chains of 2,8-linked sialic acid. Found predominantly attached to the neural cell adhesion molecule, PSA acts to reduce cell-cell adhesion during development. It is also found in some areas of the adult central nervous system (CNS) associated with persistent neuroplasticity. Preliminary data from our laboratory indicated an inverse relationship between PSA expression and the formation of perineuronal nets (PNNs), specialised extracellular matrix structures with a role in limiting plasticity in the adult CNS. The primary aims of this thesis were to investigate this relationship in more detail, using in vitro models of PNN formation and in vivo. Also, to evaluate whether lentiviral vector-mediated PSA expression can enhance locomotor recovery and neuroplasticity in a rodent model of spinal cord injury. PNNs were heterogeneously distributed throughout the grey matter of the rat cervical spinal cord, and increased in numbers down the dorsoventral axis. Induced expression of PSA in the spinal cord of either naïve or injured rats did not alter the number or density of PNNs. Similarly, enzymatic removal of PSA from the surface of cultured embryonic neurons did not affect the formation of the PNNs. In a rodent model of cervical spinal cord injury, induced PSA expression resulted in an improvement in hindlimb, but not forelimb, locomotor function compared to animals injected with control virus. Interestingly, this was not associated with an increased density of serotonin or synaptophysin-labelled boutons in the areas of induced PSA expression. Taken together, the data presented in this thesis suggests that while induced PSA expression may contribute to improved locomotor function in a model of cervical spinal cord injury, this is not due to a reduction in the density or number of PNNs in the spinal cord.

PURPOSE: To characterize the distribution of white matter neurons (WMNs) positive for perineuronal nets (PNNs) in the adult monkey. WMNs are a mixed population of excitatory and inhibitory neurons. They have an important role in axon guidance during cortical development, but their role in the adult brain is less understood. In vitro and in vivo experiments provide evidence that WMNs are incorporated into cortical circuitry. The majority of investigations in the adult, however, have focused on regional variations in overall density, or on characterization of morphological and neurochemical subtypes. The present study was motivated by the observation that some WMNs exhibit PNNs in adult monkey. Since PNNs are associated with plasticity in younger animals, their occurrence with some WMNs might be functionally significant. METHODS: PNNs were visualized, at the light microscopic level, by WFA staining in three adult macaque brains. Density of WFA positive WMNs was scored at three anterior-posterior levels (frontal, mid-hemispheric, and occipital), and compared with overall density of WMNs, as visualized by immunocytochemistry for NeuN. Quantitation of WFA+ neurons and neuron morphology were analyzed via light microscopy. Soma size and appearance, and dendritic length were recorded and measured. RESULTS: On the basis of soma size and proximal dendritic shape, several types of WFA+ WMNs were provisionally identified, consistent with previous reports in the literature. Subpopulation densities were of highest density in mid-cortical areas and lowest quantities at occipital, matching previous studies. Morphological measurements suggested a heterogeneous neuron population through soma measurements and dendrite orientation. Soma sizes exhibited a range of circularity and size (10 µm – 30 µm). Dendrites were stained beyond the “proximal” area, including intermediate areas beyond the first branch, and up to 500 µm. CONCLUSIONS: A small population of WMNs are coated by PNNs in adult monkey. On the basis of morphology, these might be further subdivided, but combined studies with other markers would be needed. Future studies might investigate age- or pathology-related changes in the density and subtypes of WMNs that express PNNs in human or nonhuman primates. We speculate that these WMNs might have functional specializations, perhaps similar to the plasticity effects documented for PNNs in early development.

BACKGROUND: Schizophrenia is a debilitating disorder that has a profound impact on quality of life due to the presence of both cognitive deficits and psychotic symptoms. Despite having significant global economic and social costs and a worldwide prevalence of 1%, schizophrenia is still not well understood. Research has been making strides in uncovering the pathophysiology and the etiology that drive this disease, ranging from genetic abnormalities, disrupted circuitry, changes in microarchitecture, to impaired synaptic connectivity. Evidence suggests that disrupted-in-schizophrenia-1 (DISC1) driven genetic disturbances in fast-spiking parvalbumin (PV) neurons and their surrounding perineuronal nets (PNNs) likely contribute to schizophrenia etiology as they are part of the microcircuits required for working memory, a cognitive function that has been consistently impaired in schizophrenic patients. OBJECTIVE: To identify the neuroanatomical changes in PV neurons and surrounding PNNs in the superficial and deep layers of the prelimbic and infralimbic prefrontal cortex of a rat DISC-1 knockout model. METHODS: 19 DISC1-KO male rats and 15 wildtype rats were treated with saline or MK-801. They were sacrificed between P268-269 and brains were extracted and separated at the corpus callosum. After fixing and preserving, the brains were sliced then stained to visualize parvalbumin and perineuronal nets with immunohistochemistry. Slices were imaged and analyzed for PV, PNN, and PV+PNN counts in the superficial and deep regions of the prelimbic and infralimbic cortices. Averages counts within each group were taken and analyzed via 2-way ANOVAs for each brain region and dependent variable. RESULTS: DISC1-KO rats displayed the following trending changes: decreased PV cells in deep layers of infralimbic and decreased PNNs throughout the prelimbic cortex. MK-801 appears to increase the number of unsheathed PV cells in the superficial layers of prelimbic and infralimbic cortex. It decreased the number of PNNs in the prelimbic of wildtype animals but not in the DISC1-KO cohort. MK-801 moderately increased PV counts in DISC1-KO. CONCLUSIONS: This DISC1-KO model is a promising model of schizophrenia as we see the same directionality of decreases in PV and PNN as post mortem human studies. Furthermore, MK-801 is seen to have an increasing trend effect on PV cells, which should be considered when interpreting findings in future studies that look at these markers.

Chondroitin sulfate proteoglycans (CSPGs) are found in specialized brain extracellular matrix structures termed perineuronal nets (PNNs). The chondroitin sulfate chains of these CSPGs are thought to have a strong effect on neuroplasticity, along with development, injury, and diseased states of the brain. Wisteria floribunda agglutinin (WFA) is a plant lectin used to identify PNN via staining; the pattern of this staining is changed upon schizophrenia. As such, one powerful method of probing the identity of the CS chains of PNNs and addressing what changes in CS identity occur during schizophrenia is to characterize the features of the CS which bind to the lectin. Methods for characterization of WFA-CS binding and their biological relevance were developed and evaluated. Commercially available CS was used to probe the binding affinity of the agglutinin to various regions of CS via hemagglutination inhibition assays and affinity gradient elution of CS bound to WFA. The size, sulfation extent, and fragment location in the CS chain from these eluates were determined using HILIC-LC-MS. As commercial sources can be used to elucidate the binding specificity of WFA, but not the actual relevant binding partner of WFA within the brain, PNN CS extractions were performed with a modified method aimed at reducing the timescale at which PNN CS can be obtained so as to allow similar experimentation on CS directly from PNN. The results pave the way for further determination of WFA-CS binding.

京都大学 / 0048 / 新制・課程博士 / 博士(人間健康科学) / 甲第19644号 / 人健博第36号 / 新制||人健||3(附属図書館) / 32680 / 京都大学大学院医学研究科人間健康科学系専攻 / (主査)教授 高桑 徹也, 教授 三谷 章, 教授 浅野 雅秀 / 学位規則第4条第1項該当 / Doctor of Human Health Sciences / Kyoto University / DFAM

Thesis advisor: John P. Christianson / Trauma and exposure to extreme stressors greatly increases a person’s vulnerability to developing mental illnesses like post-traumatic stress disorder (PTSD). Patients with PTSD often have impaired fear and safety learning, and despite the fact that women are more than twice as likely to develop PTSD, much of the research on this disorder has relied on the use of male subjects. This paper will review potential contributors to the sex differences seen in PTSD and fear-related learning. Our group has found that female rats show greater fear discrimination abilities than their male counterparts, but show no difference in levels of safety learning. Analysis of specialized extracellular matrix structures called perineuronal nets (PNNs) revealed that females displayed a much higher density of PNNs in the basolateral amygdala (BLA) than males, but not in the prefrontal cortex (PFC). / Thesis (BS) — Boston College, 2017. / Submitted to: Boston College. College of Arts and Sciences. / Discipline: Departmental Honors. / Discipline: Psychology.

Stroke is a leading cause of neurological disability, often resulting in long-term motor impairments due to damage to the striatum and/or motor cortex. While both humans and animals show spontaneous recovery following stroke, little is known about how the injury location affects recovery and what causes recovery to plateau. This information is essential in order to improve current rehabilitation practice and develop new therapies to enhance recovery. In this thesis, we used endothelin-1 (ET-1), a potent vasoconstrictor, to produce focal infarcts in the forelimb motor cortex (FMC), the dorsolateral striatum (DLS) or both the FMC and DLS in male Sprague-Dawley rats. In the first experiment, the spontaneous recovery profile of animals was followed over an 8-week period using multiple behavioural tasks assessing motor function and limb preference to identify how recovery varies depending on injury location. Infarct volumes were measured to determine the association between injury and behavioural outcome. All three groups had significant functional impairments on the Montoya staircase, beam traversal, and cylinder tests following stroke, with the combined group having the largest and most persistent impairments. Importantly, spontaneous recovery was not simply dependent on lesion volume but on the lesion location and the behavioural test employed. In the second experiment, we focused on a potential cellular mechanism thought to underlie post-stroke plasticity and functional recovery. In a separate cohort of animals, we assessed how plasticity-limiting perineuronal nets (PNNs) and associated parvalbumin-positive (PV) GABAergic interneurons change following similar ET-1 strokes as in the prior experiment. A significant reduction in the density of PNNs was observed in the perilesional cortex of animals that received a cortical-only or combined stroke but not a striatal-only injury. Although there were no significant differences in the density of PV interneurons between sham and stroked groups, a significant negative correlation existed between cortical infarct volume and the density of PV interneurons in the perilesional cortex. Taken together these results demonstrate that lesion location influences motor recovery and neuroplastic changes following stroke. This supports the idea that a “one size fits all” approach for stroke rehabilitation may not be effective and treatment needs to be individualized to the patient.

Tau mutations promote the formation of tau oligomers and filaments, which are neuropathological signs of several tau-associated dementias. Types of neurons in the CNS are spared of tau pathology and are surrounded by a specialized form of extracellular matrix; called perineuronal nets (PNs). Aggrecan, the major PN proteoglycans, is suggested to mediate PNs neuroprotective function by forming an external shield preventing the internalization of misfolded tau. We recently demonstrated a correlation between aggrecan amount and the expression and phosphorylation of tau in a TauP310L-acan mouse model, generated by crossbreeding heterozygous aggrecan mice with a significant reduction of aggrecan and homozygous TauP301L mice. Neurodegenerative processes have been associated with changes of PN structure and protein signature. In this study, we hypothesized that the structure and protein expression of PNs in this TauP310L-acan mouse is regulated by tau. Immunohistochemical and biochemical analyses demonstrate that protein levels of PN components differ between TauP301LHET-acanWT and TauP301LHET-acanHET mice, accompanied by changes in the expression of protein phosphatase 2 A. In addition, tau can modulate PN components such as brevican. Co-immunoprecipitation experiments revealed a physical connection between PN components and tau. These data demonstrate a complex, mutual interrelation of tau and the proteoglycans of the PN.

No description available.

Les réseaux périneuronaux (PNN) sont des régulateurs clé de la plasticité et de la régénération des neurones au niveau du système nerveux central chez l’adulte. Le PNN est une matrice extracellulaire hautement organisée, qui entoure des populations spécifiques de neurones, enrichie en protéoglycanes à chondroïtine sulfate (CSPG). La chondroïtine sulfate (CS) est un polysaccharide linéaire, appartenant à la famille des glycosaminoglycanes (GAG), qui peut être sulfaté à différentes positions et donner lieu à plusieurs isoformes. Ces isoformes interagissent de manière spécifique avec de nombreuses molécules de signalisation dont la semaphorine 3A (Sema3A). Sema3A est une protéine secrétée, qui interagit avec les CS et s’accumule ainsi dans les PNN. Elle est impliquée dans la guidance des neurones sur lesquels elle agit par chemorepulsion. Les aspects structuraux et fonctionnels de l’ interaction entre Sema3A et CS sont encore mal connus, mais celle-ci pourrait être requise pour renforcer la liaison de la Sema3A avec ses récepteurs et déclencher une voie de signalisation qui aboutit à l’inhibition de la plasticité synaptique. Le but du projet est donc de caractériser biochimiquement l’interface d’interaction Sema3A-CS. Il a pour perspective d’élaborer des molécules interférant avec cette interaction qui pourraient permettre une amélioration de la plasticité neuronale après une maladie neurodégénérative ou une lésion de la moelle épinière.Pour ce faire, la Sema3A est exprimée dans un système hétérologue de cellules eucaryotes pour être purifiée. Deux formes ont été purifiées: une forme complète de 90 kDa qui reste accrochée à la surface cellulaire et une forme clivée de 65 kDa secrétée dans le milieu de culture. La Sema3A-90 interagit d’une manière sélective et avec une très haute affinité avec la CS-E (chondroitine disulfatée en position 4 et 6) et l’héparane sulfate,alors que, la forme clivée n’interagit avec aucun GAG, comme observé par résonance plasmonique de surface (SPR). Quatre sites, situés dans le domaine C-terminal de la protéine, susceptibles d’interagir avec les GAG ont été identifiés et analysés par mutagenèse. Deux d’entre eux sont impliqués dans la reconnaissance des GAG et sont nécessaires à la Sema3A pour inhiber la croissance de neurites sur des cultures de neurones issus de ganglion de la racine dorsale de rats. En parallèle, nos travaux montrent qu’un tetrasaccharide de CS-E est la taille minimale requise pour l’interaction avec la Sema 3A. Enfin, des analyses réalisées en utilisant une microbalance à cristal de quartz avec dissipation ont montré que la Sema3A pourrait réticuler les chaines de GAGs, participant ainsi à la stabilisation du réseau périneuronal. / Perineuronal nets (PNNs) are the key regulators of neuronal plasticity and regeneration in the mature central nervous system (CNS). They are a unique and highly organised extracellular matrix (ECM) structure, found around sub-population of neurons, composed mainly of chondroitin sulfate proteoglycan (CSPG). Chondroitin sulfate (CS) is a linear polysaccharide belonging to glycosaminoglycans (GAGs) family. The sulphation pattern defines different types of CS, which interact with different signalling proteins including those regulating axonal outgrowth and guidance such as semaphorin 3A (Sema3A). Sema3A is a secreted chemorepulsive protein found accumulated in the PNNs through its interaction with CS. This process is believed to potentiate Sema3A signalling through plexin A1 (PlxnA1) and Neuropilin 1 (Nrp1) and regulate plasticity and regeneration. The aim of the thesis project is to characterise the interface of Sema3A- CS interaction.For this purpose, Sema3A is expressed in eukaryote cells and purified. Interestingly, two major forms were obtained: a full length Sema3A (90 kDa) which remains attached to the cell surface GAGs and a truncated form without the C-ter part (65 kDa) which is released to the culture medium. With the use of surface plasmon resonance (SPR), we observed that full length Sema3A binds selectively to CS-E (4,6-disulfated chondroitin) and heparan sulfate with a high affinity (KD in the sub pM range), while the truncated Sema3A does not bind to any GAG. Four putative GAG binding sequences were identified in the C-ter of Sema3A and mutated using site directed mutagenesis. SPR analysis then revealed that two out of these four sites are required for the binding to CS-E. The importance of these GAG-binding sequences in inhibition of neurites outgrowth of dorsal root ganglion neurons in culture was also reported, indicating thus the importance of GAG-binding in Sema3A signalling. In parallel, the minimal required sequence of Sema3A-binding of CS-E was determined as being a tetrasaccharide. The Sema3A-CS interface was thus characterized. Furthermore, quartz crystal microbalance with dissipation monitoring analysis suggested that Sema3A could crosslink GAG chains. This suggests Sema3A could be involved in stabilising the PNN network and induces mechanical changes on neuronal surface.The detail characterization of Sema3A-CS interaction may enable the design of new strategies aiming at enhancing plasticity and regeneration for neurodegenerative diseases or spinal cord injury.