ATP1A3 Induced Alterations to Glutamate Signaling Protein Networks in Schizophrenia

ATP1A3 诱导精神分裂症谷氨酸信号蛋白网络的改变

• 批准号: 8947117
• 负责人: Matthew L MacDonald
• 金额: $ 15.77万
• 依托单位: UNIVERSITY OF PITTSBURGH AT PITTSBURGH
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-06-16 至 2019-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8947117
• 关键词: ATP1A3 protein; Animal Model; Area; Auditory; Auditory Hallucination; Auditory area; Autopsy; Award; Behavior; Bioinformatics; Biology; Brain region; Cells; Code; Complex; Data; Data Set; Dendritic Spines; Development; Dimensions; Discipline; Disease; Drug Targeting; Dystonia 12; Excitatory Amino Acid Antagonists; Fluorescence Microscopy; Functional disorder; Funding; Future; Gene Proteins; Genes; Genetic; Glutamates; Goals; Human; Impaired cognition; Impairment; Individual; Institution; Investigation; Knockout Mice; Laboratories; Lasers; Lead; Learning; Link; Maps; Mass Spectrum Analysis; Measures; Medical Research; Mentors; Mentorship; Methods; Microdissection; Microscopy; Modeling; Molecular; Mus; Mutation; Neurobehavioral Manifestations; Neurons; Ontology; Pathologic Processes; Pathology; Pathway Analysis; Patients; Peptides; Preparation; Process; Proteins; Proteomics; Psychotic Disorders; Pump; Pyramidal Cells; Reporting; Role; Schizophrenia; Signal Pathway; Signaling Protein; Specificity; Structure; Symptoms; Synapses; Syndrome; Systems Biology; Testing; Tissue Model; Training; United States National Institutes of Health; Vertebral column; Weight; base; brain tissue; career; cell type; density; differential expression; drug discovery; genetic risk factor; glutamatergic signaling; gray matter; hippocampal pyramidal neuron; human tissue; inhibitory neuron; interest; laser capture microdissection; mouse model; neuronal cell body; neuropsychiatry; novel; novel therapeutics; protein expression; psychotic symptoms; public health relevance; research study; risk variant; signal processing; social cognition; statistics; translational study

 DESCRIPTION (provided by applicant): Schizophrenia (SZ) is a lifelong and devastating psychiatric illness with limited treatment options and no cure. Reduced dendritic spine density of layer 3 pyramidal neurons is among the most consistently reported findings in postmortem studies of SZ and has been reported in multiple brain regions including the primary auditory cortex (Al). This cytoarchitectonic abnormality is believed to underlie several symptom dimensions in SZ, including auditory processing deficits that impair social cognition and auditory hallucinations. Glutamate (Glu) signaling is essential for dendritic spine integrity and multiple lines of evidence implicate synaptic Glu signaling in SZ pathology. Many SZ risk loci code for proteins in the synaptic Glu signaling network and Glu receptor antagonists can induce or exacerbate SZ symptoms in humans and animal models. Thus, current evidence supports a model in which genetic risk factors converge on Glu signaling protein networks leading to the impairments in synaptic structure and activity believed to underlie SZ symptoms. As a first step in testing this model I utilized a targeted-mass spectrometry (MS) approach to quantify over 150 synaptic proteins in Al gray matter homogenates from 23 SZ and matched control subjects. The proteins altered in SZ were enriched for the Gene Ontology term Glutamate Signaling Pathway (p=2.5E-6, q=1.5E-3). Weighted gene co-expression network analysis (WGCNA) revealed a general decrease in the correlated expression of synaptic proteins (p=0.015). Both the dysregulated Glu Signaling Pathway and the de-correlated protein network included the Na+/K+ pump subunit ATP1A3. ATP1A3 mutations contribute to polygenic burden for SZ, and are linked to rapid onset dystonia parkinsonism, a syndrome which presents with cognitive impairments, and in which nearly 20% of patients have comorbid psychosis characterized by auditory hallucinations. Similarly, ATP1A3 +/- mice, in which ATP1A3 expression is decreased by only 15-20%, display cognitive impairments and psychosis like behaviors. My preliminary data further indicates altered expression of Glu signaling proteins in ATP1A3 +/- mouse cortex. Based on these observations I hypothesize that: The Glu signaling protein network is altered in Al deep layer 3 of SZ subjects and that decreased ATP1A3 protein expression contributes to these network alterations and Al deep layer 3 spine loss. I will test this hypothesis using a novel lasr capture microdissection-targeted MS (LCM-tMS) approach to identify Glu protein network alterations linked to spine loss directly in Al deep layer 3 of SZ subjects (Aim 1). Next, I will determine the impact of a 20% decrease in ATP1A3 on Al protein networks and spine density in ATP1A3 +/- mice (Aim 2). Finally, I will utilize quantitative fluorescence microscopy to localize alterations in ATP1A3, as well as selected protein alterations shared by SZ subjects and ATP1A3 +/- mice, to pyramidal or inhibitory cell soma within Al deep layer 3 of SZ subjects (Aim 3). Findings from these studies mapping synaptic Glu protein network impairments in disease will support ongoing drug discovery efforts, especially if homeostatic and/or pathological processes alter the expression of these drug targets in unexpected ways, an assertion strongly supported by my preliminary data. They will also identify novel protein and protein co- expression network alterations for future hypothesis testing (Aims 1 & 2). Localizing ATP1A3 reductions in patients will support the development of cell type specific animal models (Aims 2 & 3). These studies will also support my long term career goal of investigating synaptic pathology in SZ and related neuropsychiatric illnesses in my own NIH funded laboratory at a major medical research institution. They will provide training in three areas essential to achieving this goal: 1. MS based proteomic and systems biology approaches to protein network analysis: MS approaches are rapidly evolving and can now quantify tens-of-thousands of peptides from thousands or proteins in a single experiment. During this award I will receive continued training in these rapidly emerging MS methods and in the statistic, bioinformatic, and systems biology disciplines required for network analysis of complex proteomic data sets. 2. Translational mechanistic studies in genetic mouse models: Descriptive studies in postmortem brain tissue, while essential for identifying molecular alterations in disease, cannot determine the contribution of individual genes/proteins to pathophysiology. In the planned studies I will learn to investigate the effects of a candidate protein on synaptic protein networks and structural pathology, focused on the Na+/K+ pump and the role of ATP1A3. 3. Cortical cell and circuit pathology in SZ: The impact of dysregulated protein expression on cortical function depends on cell and circuit localization. Thus, I require training in laser capture microdissection and quantitative fluorescence microscopy to investigate proteins and protein networks within the context of cortical cells and circuits. To achieve these training aims I have assembled an outstanding mentorship team with primary mentor, Dr. Robert Sweet, a world leader in quantitative fluorescent microscopy and cortical cell and circuit pathology in SZ and Dr. Nathan Yates, an internationally recognized expert in MS based proteomics. The mentorship team has been augmented by the inclusion of consultants with additional expertise in laser capture, statistics, bioinformatics, systems biology, and Na+/K+ pump biology. At the completion of the proposed studies and training I will be an expert in applying cutting-edge proteomic, systems biology, and microscopy approaches to studies of SZ synaptic pathology in human tissue and animal models. Thus, in addition to serving as a compelling protein of interest in SZ, ATP1A3 will serve as a test case for advancing proteins of interest from MS discovery through translational investigations.