Matching Items (12)
Description
Patients with schizophrenia have impaired cognitive flexibility, as evidenced by behaviors of perseveration. Cognitive impairments may be due to dysregulation of glutamate and/or loss of neuronal plasticity in the medial prefrontal cortex (mPFC). The purpose of these studies was to examine the effects of mGluR5 positive allosteric modulators (PAMs) alone and in combination with the NMDAR antagonist MK-801, a pharmacological model of schizophrenia. An operant-based cognitive set-shifting task was utilized to assess cognitive flexibility, in vivo microdialysis procedures to measure extracellular glutamate levels in the mPFC, and diolistic labeling to assess the effects on dendritic spine density and morphology in the mPFC. Results revealed that chronic administration of the mGluR5 PAM CDPPB was able to significantly reduce the effects of chronically administered MK-801 on both behavioral perseveration and glutamate neurotransmission. Results also showed that CDPPB had no evidence of an effect on dendritic spine density or morphology, but the mGluR5 negative allosteric modulator fenobam caused significant increases in spine density and the frequency of occurrence of spines with smaller head diameters. Conclusions include that CDPPB is able to reverse MK-801 induced cognitive deficits as well as alterations in mPFC glutamate neurochemistry. The culmination of these studies add further support for targeting mGluR5 with PAMs as a novel mechanism to alleviate cognitive impairments in patients with schizophrenia.
ContributorsLaCrosse, Amber (Author) / Olive, Michael (Committee member) / Gallitano-Mendel, Amelia (Committee member) / Sanabria, Federico (Committee member) / Hammer, Ronald (Committee member) / Arizona State University (Publisher)
Created2014
Description
Spatiotemporal processing in the mammalian olfactory bulb (OB), and its analog, the invertebrate antennal lobe (AL), is subject to plasticity driven by biogenic amines. I study plasticity using honey bees, which have been extensively studied with respect to nonassociative and associative based olfactory learning and memory. Octopamine (OA) release in the AL is the functional analog to epinephrine in the OB. Blockade of OA receptors in the AL blocks plasticity induced changes in behavior. I have now begun to test specific hypotheses related to how this biogenic amine might be involved in plasticity in neural circuits within the AL. OA acts via different receptor subtypes, AmOA1, which gates calcium release from intracellular stores, and AmOA-beta, which results in an increase of cAMP. Calcium also enters AL interneurons via nicotinic acetylcholine receptors, which are driven by acetylcholine release from sensory neuron terminals, as well as through voltage-gated calcium channels. I employ 2-photon excitation (2PE) microscopy using fluorescent calcium indicators to investigate potential sources of plasticity as revealed by calcium fluctuations in AL projection neuron (PN) dendrites in vivo. PNs are analogous to mitral cells in the OB and have dendritic processes that show calcium increases in response to odor stimulation. These calcium signals frequently change after association of odor with appetitive reinforcement. However, it is unclear whether the reported plasticity in calcium signals are due to changes intrinsic to the PNs or to changes in other neural components of the network. My studies were aimed toward understanding the role of OA for establishing associative plasticity in the AL network. Accordingly, I developed a treatment that isolates intact, functioning PNs in vivo. A second study revealed that cAMP is a likely component of plasticity in the AL, thus implicating the AmOA-beta; receptors. Finally, I developed a method for loading calcium indicators into neural components of the AL that have yet to be studied in detail. These manipulations are now revealing the molecular mechanisms contributing to associative plasticity in the AL. These studies will allow for a greater understanding of plasticity in several neural components of the honey bee AL and mammalian OB.
ContributorsProtas, Danielle (Author) / Smith, Brian H. (Thesis advisor) / Neisewander, Janet (Committee member) / Anderson, Trent (Committee member) / Tyler, William (Committee member) / Vu, Eric (Committee member) / Arizona State University (Publisher)
Created2014
Description
Tobacco and alcohol are the most commonly abused drugs worldwide. Many people smoke and drink together, but the mechanisms of this nicotine (NIC) -ethanol (EtOH) dependence are not fully known. EtOH has been shown to affect some nicotinic acetylcholine receptors (nAChRs), which potentially underlies NIC-EtOH codependence. Ventral Tegmental Area (VTA) dopamine (DA) and γ-aminobutyric acid (GABA) neurons express different nAChR subtypes, whose net activation results in enhancement of DA release in the Prefrontal Cortex (PFC) and Nucleus Accumbens (NAc). Enhancement of DA transmission in this mesocorticolimbic system is thought to lead to rewarding properties of EtOH and NIC, clarification of which is relevant to public health and clinical diseases. The aim of this study was to elucidate pharmacological mechanisms of action employed by both NIC and EtOH through nAChRs in VTA neurons by evaluating behavioral, network, synaptic and receptor functions therein. It was hypothesized that VTA GABA neurons are controlled by α7 nAChRs on presynaptic GLUergic terminals and α6 nAChRs on presynaptic GABAergic terminals. NIC and EtOH, via these nAChRs, modulate VTA GABA neuronal function. This modulation may underlie NIC and EtOH reward and reinforcement, while pharmacological manipulation of these nAChRs may be a therapeutic strategy to treat NIC or EtOH dependence. This data demonstrates that in VTA GABA neurons, α7 nAChRs on GLUergic terminals play a key role in the mediation of local NIC-induced firing increase. α6*-nAChRs on GABA terminals enhances presynaptic GABA release, and leads to greater inhibition to VTA GABA neurons, which results in an increase VTA DA neuron firing via a disinhibition mechanism. Genetic knockout of these nAChRs significantly prevents EtOH-induced animal conditioned place preference (CPP). Furthermore, levo-tetrahydropalmadine (l-THP), a compound purified from natural Chinese herbs, blocks nAChRs, prevents NIC-induced DA neuronal firing, and eliminates NIC CPP, suggesting it as a promising candidate in a new generation of interventions for smoking cessation. Improved understanding of underlying mechanisms and development of new drugs will increase the number of successful quitters each year and dramatically improve the quality of life for millions suffering from addiction, as well as those around them.
ContributorsTaylor, Devin (Author) / Wu, Jie (Committee member) / Olive, M F (Committee member) / Whiteaker, Paul (Committee member) / Vu, Eric (Committee member) / Hammer, Ronald (Committee member) / Arizona State University (Publisher)
Created2015
Description
ABSTRACT
Auditory hallucinations are a characteristic symptom of schizophrenia. Research has documented that the auditory cortex is metabolically activated when this process occurs, and that imbalances in the dopaminergic transmission in the striatum contribute to its physiopathology. Most animal models have focused the effort on pharmacological approaches like non-competitive N-methyl-D-aspartate (NMDA) receptor antagonists to produce activation of the auditory cortex, or dopamine antagonists to alleviate it. I hypothesize that these perceptual phenomena can be explained by an imbalance activation of spiny projecting neurons in the striatal pathways, whereby supersensitive postsynaptic D2-like receptor, signaling in the posterior caudatoputamen generates activation of the auditory cortex. Therefore, I characterized the neuroanatomical component involved in the activation of the auditory cortex. I evaluated the participation of dopamine D2-like receptor using selective dopamine antagonist manipulations and identified the circuits related to the auditory cortex by retrograde trans-synaptic tracing using pseudorabies virus (PRV-152). My results show that dopamine infused in the posterior caudatoputamen dose dependently increases the transcription of the immediate early gene, zif268 in the auditory cortex, predominantly in layers III and IV, but also in cortical columns, suggesting enhanced functional auditory activity. This indicates the participation of the posterior striatum in the modulation of the secondary auditory cortex. I was able to demonstrate also that a coinfusion of a selective dopamine D2-like receptor antagonist, eticlopride and dopamine, attenuate the activation of the auditory cortex. Furthermore, using PRV-152 I delineate the distinctive circuit by axial mapping of the infected neurons. Thus, I found secondary projections from the posterior caudatoputamen that synapse in the thalamus before reaching the auditory cortex. These striatal projections correspond to the same brain region affected by dopamine during auditory cortical activation. My results further characterized a mechanism to generate intrinsic perception of sound that may be responsible for auditory hallucinations. I propose this paradigm may elucidate insight on the biological basis of psychotic behavior.
Auditory hallucinations are a characteristic symptom of schizophrenia. Research has documented that the auditory cortex is metabolically activated when this process occurs, and that imbalances in the dopaminergic transmission in the striatum contribute to its physiopathology. Most animal models have focused the effort on pharmacological approaches like non-competitive N-methyl-D-aspartate (NMDA) receptor antagonists to produce activation of the auditory cortex, or dopamine antagonists to alleviate it. I hypothesize that these perceptual phenomena can be explained by an imbalance activation of spiny projecting neurons in the striatal pathways, whereby supersensitive postsynaptic D2-like receptor, signaling in the posterior caudatoputamen generates activation of the auditory cortex. Therefore, I characterized the neuroanatomical component involved in the activation of the auditory cortex. I evaluated the participation of dopamine D2-like receptor using selective dopamine antagonist manipulations and identified the circuits related to the auditory cortex by retrograde trans-synaptic tracing using pseudorabies virus (PRV-152). My results show that dopamine infused in the posterior caudatoputamen dose dependently increases the transcription of the immediate early gene, zif268 in the auditory cortex, predominantly in layers III and IV, but also in cortical columns, suggesting enhanced functional auditory activity. This indicates the participation of the posterior striatum in the modulation of the secondary auditory cortex. I was able to demonstrate also that a coinfusion of a selective dopamine D2-like receptor antagonist, eticlopride and dopamine, attenuate the activation of the auditory cortex. Furthermore, using PRV-152 I delineate the distinctive circuit by axial mapping of the infected neurons. Thus, I found secondary projections from the posterior caudatoputamen that synapse in the thalamus before reaching the auditory cortex. These striatal projections correspond to the same brain region affected by dopamine during auditory cortical activation. My results further characterized a mechanism to generate intrinsic perception of sound that may be responsible for auditory hallucinations. I propose this paradigm may elucidate insight on the biological basis of psychotic behavior.
ContributorsParga Becerra, Alejandro (Author) / Neisewander, Janet (Thesis advisor) / Hammer, Ronald (Thesis advisor) / Gallitano-Mendel, Amelia (Committee member) / McLoone, Jim (Committee member) / Vu, Jie (Committee member) / Arizona State University (Publisher)
Created2014
Description
Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them as a basis to determine the significance of other candidate genes, which will then be ranked based on the association they exhibit with respect to the given set of known genes. Experimental and computational data of various kinds have different reliability and relevance to a disease under study. This work presents a gene prioritization method based on integrated biological networks that incorporates and models the various levels of relevance and reliability of diverse sources. The method is shown to achieve significantly higher performance as compared to two well-known gene prioritization algorithms. Essentially, no bias in the performance was seen as it was applied to diseases of diverse ethnology, e.g., monogenic, polygenic and cancer. The method was highly stable and robust against significant levels of noise in the data. Biological networks are often sparse, which can impede the operation of associationbased gene prioritization algorithms such as the one presented here from a computational perspective. As a potential approach to overcome this limitation, we explore the value that transcription factor binding sites can have in elucidating suitable targets. Transcription factors are needed for the expression of most genes, especially in higher organisms and hence genes can be associated via their genetic regulatory properties. While each transcription factor recognizes specific DNA sequence patterns, such patterns are mostly unknown for many transcription factors. Even those that are known are inconsistently reported in the literature, implying a potentially high level of inaccuracy. We developed computational methods for prediction and improvement of transcription factor binding patterns. Tests performed on the improvement method by employing synthetic patterns under various conditions showed that the method is very robust and the patterns produced invariably converge to nearly identical series of patterns. Preliminary tests were conducted to incorporate knowledge from transcription factor binding sites into our networkbased model for prioritization, with encouraging results. Genes have widely different pertinences to the etiology and pathology of diseases. Thus, they can be ranked according to their disease-significance on a genomic scale, which is the subject of gene prioritization. Given a set of genes known to be related to a disease, it is reasonable to use them as a basis to determine the significance of other candidate genes, which will then be ranked based on the association they exhibit with respect to the given set of known genes. Experimental and computational data of various kinds have different reliability and relevance to a disease under study. This work presents a gene prioritization method based on integrated biological networks that incorporates and models the various levels of relevance and reliability of diverse sources. The method is shown to achieve significantly higher performance as compared to two well-known gene prioritization algorithms. Essentially, no bias in the performance was seen as it was applied to diseases of diverse ethnology, e.g., monogenic, polygenic and cancer. The method was highly stable and robust against significant levels of noise in the data. Biological networks are often sparse, which can impede the operation of associationbased gene prioritization algorithms such as the one presented here from a computational perspective. As a potential approach to overcome this limitation, we explore the value that transcription factor binding sites can have in elucidating suitable targets. Transcription factors are needed for the expression of most genes, especially in higher organisms and hence genes can be associated via their genetic regulatory properties. While each transcription factor recognizes specific DNA sequence patterns, such patterns are mostly unknown for many transcription factors. Even those that are known are inconsistently reported in the literature, implying a potentially high level of inaccuracy. We developed computational methods for prediction and improvement of transcription factor binding patterns. Tests performed on the improvement method by employing synthetic patterns under various conditions showed that the method is very robust and the patterns produced invariably converge to nearly identical series of patterns. Preliminary tests were conducted to incorporate knowledge from transcription factor binding sites into our networkbased model for prioritization, with encouraging results. To validate these approaches in a disease-specific context, we built a schizophreniaspecific network based on the inferred associations and performed a comprehensive prioritization of human genes with respect to the disease. These results are expected to be validated empirically, but computational validation using known targets are very positive.
ContributorsLee, Jang (Author) / Gonzalez, Graciela (Thesis advisor) / Ye, Jieping (Committee member) / Davulcu, Hasan (Committee member) / Gallitano-Mendel, Amelia (Committee member) / Arizona State University (Publisher)
Created2011
Description
Patients with Alzheimer's disease (AD) exhibit a significantly higher incidence of unprovoked seizures compared to age-matched non-AD controls, and animal models of AD (i.e., transgenic human amyloid precursor protein, hAPP mice) display neural hyper-excitation and epileptic seizures. Hyperexcitation is particularly important because it contributes to the high incidence of epilepsy in AD patients as well as AD-related synaptic deficits and neurodegeneration. Given that there is significant amyloid-β (Aβ) accumulation and deposition in AD brain, Aβ exposure ultimately may be responsible for neural hyper-excitation in both AD patients and animal models. Emerging evidence indicates that α7 nicotinic acetylcholine receptors (α7-nAChR) are involved in AD pathology, because synaptic impairment and learning and memory deficits in a hAPPα7-/- mouse model are decreased by nAChR α7 subunit gene deletion. Given that Aβ potently modulates α7-nAChR function, that α7-nAChR expression is significantly enhanced in both AD patients and animal models, and that α7-nAChR play an important role in regulating neuronal excitability, it is reasonable that α7-nAChRs may contribute to Aβ-induced neural hyperexcitation. We hypothesize that increased α7-nAChR expression and function as a consequence of Aβ exposure is important in Aβ-induced neural hyperexcitation. In this project, we found that exposure of Aβ aggregates at a nanomolar range induces neuronal hyperexcitation and toxicity via an upregulation of α7-nAChR in cultured hippocampus pyramidal neurons. Aβ up-regulates α7-nAChRs function and expression through a post translational mechanism. α7-nAChR up-regulation occurs prior to Aβ-induced neuronal hyperexcitation and toxicity. Moreover, inhibition of α7-nAChR or deletion of α7-nAChR prevented Aβ induced neuronal hyperexcitation and toxicity, which suggests that α7-nAChRs are required for Aβ induced neuronal hyperexcitation and toxicity. These results reveal a profound role for α7-nAChR in mediating Aβ-induced neuronal hyperexcitation and toxicity and predict that Aβ-induced up-regulation of α7-nAChR could be an early and critical event in AD etiopathogenesis. Drugs targeting α7-nAChR or seizure activity could be viable therapies for AD treatment.
ContributorsLiu, Qiang (Author) / Wu, Jie (Thesis advisor) / Lukas, Ronald J (Committee member) / Chang, Yongchang (Committee member) / Sierks, Michael (Committee member) / Smith, Brian (Committee member) / Vu, Eric (Committee member) / Arizona State University (Publisher)
Created2011
Description
Dendrites are the structures of a neuron specialized to receive input signals and to provide the substrate for the formation of synaptic contacts with other cells. The goal of this work is to study the activity-dependent mechanisms underlying dendritic growth in a single-cell model. For this, the individually identifiable adult motoneuron, MN5, in Drosophila melanogaster was used. This dissertation presents the following results. First, the natural variability of morphological parameters of the MN5 dendritic tree in control flies is not larger than 15%, making MN5 a suitable model for quantitative morphological analysis. Second, three-dimensional topological analyses reveals that different parts of the MN5 dendritic tree innervate spatially separated areas (termed "isoneuronal tiling"). Third, genetic manipulation of the MN5 excitability reveals that both increased and decreased activity lead to dendritic overgrowth; whereas decreased excitability promoted branch elongation, increased excitability enhanced dendritic branching. Next, testing the activity-regulated transcription factor AP-1 for its role in MN5 dendritic development reveals that neural activity enhanced AP-1 transcriptional activity, and that AP-1 expression lead to opposite dendrite fates depending on its expression timing during development. Whereas overexpression of AP-1 at early stages results in loss of dendrites, AP-1 overexpression after the expression of acetylcholine receptors and the formation of all primary dendrites in MN5 causes overgrowth. Fourth, MN5 has been used to examine dendritic development resulting from the expression of the human gene MeCP2, a transcriptional regulator involved in the neurodevelopmental disease Rett syndrome. Targeted expression of full-length human MeCP2 in MN5 causes impaired dendritic growth, showing for the first time the cellular consequences of MeCP2 expression in Drosophila neurons. This dendritic phenotype requires the methyl-binding domain of MeCP2 and the chromatin remodeling protein Osa. In summary, this work has fully established MN5 as a single-neuron model to study mechanisms underlying dendrite development, maintenance and degeneration, and to test the behavioral consequences resulting from dendritic growth misregulation. Furthermore, this thesis provides quantitative description of isoneuronal tiling of a central neuron, offers novel insight into activity- and AP-1 dependent developmental plasticity, and finally, it establishes Drosophila MN5 as a model to study some specific aspects of human diseases.
ContributorsVonhoff, Fernando Jaime (Author) / Duch, Carsten J (Thesis advisor) / Smith, Brian H. (Committee member) / Vu, Eric (Committee member) / Crook, Sharon (Committee member) / Arizona State University (Publisher)
Created2012
Description
Navigation through natural environments requires continuous sensory guidance. In addition to coordinated muscle contractions of the limbs that are controlled by spinal cord, equilibrium, body weight bearing and transfer, and avoidance of obstacles all have to happen while locomotion is in progress and these are controlled by the supraspinal centers.
For successful locomotion, animals require visual and somatosensory information. Even though a number of supraspinal centers receive both in varying degrees, processing this information at different levels of the central nervous system, especially their contribution to visuo-motor and sensory-motor integration during locomotion is poorly understood.
This dissertation investigates the patterns of neuronal activity in three areas of the forebrain in the cat performing different locomotor tasks to elucidate involvement of these areas in processing of visual and somatosensory information related to locomotion. In three studies, animals performed two contrasting locomotor tasks in each and the neuronal activities were analyzed.
In the first study, cats walked in either complete darkness or in an illuminated room while the neuronal activity of the motor cortex was recorded. This study revealed that the neuronal discharge patterns in the motor cortex were significantly different between the two illumination conditions. The mean discharge rates, modulation, and other variables were significantly different in 49% of the neurons. This suggests a contextual correlation between the motor cortical activity and being able to see.
In two other studies, the activities of neurons of either the somatosensory cortex (SI) or ventrolateral thalamus (VL) were recorded while cats walked on a flat surface (simple locomotion) or along a horizontal ladder where continuous visual and somatosensory feedback was required (complex locomotion).
We found that the activity of all but one SI cells with receptive fields on the sole peaked before the foot touched the ground: predictably. Other cells showed various patterns of modulation, which differed between simple and complex locomotion. We discuss the predictive and reflective functionality of the SI in cyclical sensory-motor events such as locomotion.
We found that neuronal discharges in the VL were modulated to the stride cycle resembling patterns observed in the cortex that receives direct inputs from the VL. The modulation was stronger during walking on the ladder revealing VL’s contribution to locomotion-related activity of the cortex during precision stepping.
For successful locomotion, animals require visual and somatosensory information. Even though a number of supraspinal centers receive both in varying degrees, processing this information at different levels of the central nervous system, especially their contribution to visuo-motor and sensory-motor integration during locomotion is poorly understood.
This dissertation investigates the patterns of neuronal activity in three areas of the forebrain in the cat performing different locomotor tasks to elucidate involvement of these areas in processing of visual and somatosensory information related to locomotion. In three studies, animals performed two contrasting locomotor tasks in each and the neuronal activities were analyzed.
In the first study, cats walked in either complete darkness or in an illuminated room while the neuronal activity of the motor cortex was recorded. This study revealed that the neuronal discharge patterns in the motor cortex were significantly different between the two illumination conditions. The mean discharge rates, modulation, and other variables were significantly different in 49% of the neurons. This suggests a contextual correlation between the motor cortical activity and being able to see.
In two other studies, the activities of neurons of either the somatosensory cortex (SI) or ventrolateral thalamus (VL) were recorded while cats walked on a flat surface (simple locomotion) or along a horizontal ladder where continuous visual and somatosensory feedback was required (complex locomotion).
We found that the activity of all but one SI cells with receptive fields on the sole peaked before the foot touched the ground: predictably. Other cells showed various patterns of modulation, which differed between simple and complex locomotion. We discuss the predictive and reflective functionality of the SI in cyclical sensory-motor events such as locomotion.
We found that neuronal discharges in the VL were modulated to the stride cycle resembling patterns observed in the cortex that receives direct inputs from the VL. The modulation was stronger during walking on the ladder revealing VL’s contribution to locomotion-related activity of the cortex during precision stepping.
ContributorsNilaweera, Wijitha Udayalal (Author) / Beloozerova, Irina N (Thesis advisor) / Smith, Brian H. (Thesis advisor) / Dounskaia, Natalia (Committee member) / Vu, Eric (Committee member) / Arizona State University (Publisher)
Created2016
Description
Neurotoxicology has historically focused on substances that directly damage nervous tissue. Behavioral assays that test sensory, cognitive, or motor function are used to identify neurotoxins. But, the outcomes of behavioral assays may also be influenced by the physiological status of non-neural organs. Therefore, toxin induced damage to non- neural organs may contribute to behavioral modifications. Heavy metals and metalloids are persistent environmental pollutants and induce neurological deficits in multiple organisms. However, in the honey bee, an important insect pollinator, little is known about the sublethal effects of heavy metal and metalloid toxicity though they are exposed to these toxins chronically in some environments. In this thesis I investigate the sublethal effects of copper, cadmium, lead, and selenium on honey bee behavior and identify potential mechanisms mediating the behavioral modifications. I explore the honey bees’ ability to detect these toxins, their sensory perception of sucrose following toxin exposure, and the effects of toxin ingestion on performance during learning and memory tasks. The effects depend on the specific metal. Honey bees detect and reject copper containing solutions, but readily consume those contaminated with cadmium and lead. And, exposure to lead may alter the sensory perception of sucrose. I also demonstrate that acute selenium exposure impairs learning and long-term memory formation or recall. Localizing selenium accumulation following chronic exposure reveals that damage to non-neural organs and peripheral sensory structures is more likely than direct neurotoxicity. Probable mechanisms include gut microbiome alterations, gut lining
damage, immune system activation, impaired protein function, or aberrant DNA methylation. In the case of DNA methylation, I demonstrate that inhibiting DNA methylation dynamics can impair long-term memory formation, while the nurse-to- forager transition is not altered. These experiments could serve as the bases for and reference groups of studies testing the effects of metal or metalloid toxicity on DNA methylation. Each potential mechanism provides an avenue for investigating how neural function is influenced by the physiological status of non-neural organs. And from an ecological perspective, my results highlight the need for environmental policy to consider sublethal effects in determining safe environmental toxin loads for honey bees and other insect pollinators.
damage, immune system activation, impaired protein function, or aberrant DNA methylation. In the case of DNA methylation, I demonstrate that inhibiting DNA methylation dynamics can impair long-term memory formation, while the nurse-to- forager transition is not altered. These experiments could serve as the bases for and reference groups of studies testing the effects of metal or metalloid toxicity on DNA methylation. Each potential mechanism provides an avenue for investigating how neural function is influenced by the physiological status of non-neural organs. And from an ecological perspective, my results highlight the need for environmental policy to consider sublethal effects in determining safe environmental toxin loads for honey bees and other insect pollinators.
ContributorsBurden, Christina Marie (Author) / Amdam, Gro (Thesis advisor) / Smith, Brian H. (Thesis advisor) / Gallitano-Mendel, Amelia (Committee member) / Harrison, Jon (Committee member) / Vu, Eric (Committee member) / Arizona State University (Publisher)
Created2016
Description
Angelman syndrome (AS) is a neurodevelopmental disorder characterized by developmental delays, intellectual disabilities, impaired language and speech, and movement defects. Most AS cases are caused by dysfunction of a maternally-expressed E3 ubiquitin ligase (UBE3A, also known as E6 associated protein, E6-AP) in neurons. Currently, the mechanism on how loss-of-function of the enzyme influences the nervous system development remains unknown. We hypothesize that impaired metabolism of proteins, most likely those related to E6-AP substrates, may alter the developmental trajectory of neuronal structures including dendrites, spines and synaptic proteins, which leads to disrupted activity/experience-dependent synaptic plasticity and maturation. To test this hypothesis, we conducted a detailed investigation on neuronal morphology and electrophysiological properties in the prefrontal cortex (PFC) layer 5 (L5) corticostriatal pyramidal neurons (target neurons). We found smaller soma size in the maternal Ube3a deficient mice (m-/p+; 'AS' mice) at postnatal 17-19 (P17-19), P28-35 and older than 70 days (>P70), and decreased basal dendritic processes at P28-35. Surprisingly, both excitatory and inhibitory miniature postsynaptic currents (mEPSCs and mIPSCs) decreased on these neurons. These neurons also exhibited abnormalities in the local neural circuits, short-term synaptic plasticity and AMPA/NMDA ratio: the excitatory inputs from L2/3 and L5A, and inhibitory inputs from L5 significantly reduced in AS mice from P17-19; Both the release probability (Pr) and readily-releasable vesicle (RRV) pool replenishment of presynaptic neurons of the target neurons were disrupted at P17-19 and P28-35, and the change of RRV pool replenishment maintained through adulthood (>P70). The AMPA/NMDA ratio showed abnormality in the L5 corticostriatal neurons of PFC in AS mice older than P28-35, during which it decreased significantly compared to that of age-matched WT littermates. Western Blot analysis revealed that the expression level of a key regulator of the cytoskeleton system, Rho family small GTPase cell division control protein 42 homolog (cdc42), reduced significantly in the PFC of AS mice at P28-35.These impairments of synaptic transmission and short-term synaptic plasticity may account for the impaired neuronal morphology and synaptic deficits observed in the PFC target neurons, and contribute to the phenotypes in AS model mice. The present work reveals for the first time that the E6-AP deficiency influences brain function in both brain region-specific and age-dependent ways, demonstrates the functional impairment at the neural circuit level, and reveals that the presynaptic mechanisms are disrupted in AS model. These novel findings shed light on our understanding of the AS pathogenesis and inform potential novel therapeutic explorations.
ContributorsLi, Guohui (Author) / Qiu, Shenfeng (Thesis advisor) / Newbern, Jason (Committee member) / Wu, Jie (Committee member) / Vu, Eric (Committee member) / Arizona State University (Publisher)
Created2017