Systems Biology for Studies of Cognition in Down Syndrome

唐氏综合症认知研究的系统生物学

• 批准号: 7797677
• 负责人: KATHELEEN GARDINER
• 金额: $ 51.86万
• 依托单位: UNIVERSITY OF COLORADO DENVER
• 依托单位国家: 美国
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-04-01 至 2013-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7797677
• 关键词: 1 year old; 1-Phosphatidylinositol 3-Kinase; Acute; Address; Aftercare; Amyloid beta-Protein Precursor; Antibodies; Behavior; Behavior Control; Behavioral; Biological Assay; Biological Neural Networks; Calcineurin; Calcineurin Pathway; Calcineurin inhibitor; Cell membrane; Cerebellum; Characteristics; Chromosomes, Human, Pair 16; Chromosomes, Human, Pair 21; Chronic; Cognition; Cognitive; Cognitive deficits; Complex; Computer Simulation; Critical Pathways; Data; Databases; Development; Down Syndrome; Exposure to; Gene Expression; Generations; Genes; Genetic; Genotype; Goals; Guanine Nucleotide Exchange Factors; Hippocampus (Brain); Human Chromosomes; Incidence; Individual; Infant; Learning; Life Expectancy; Live Birth; MAP Kinase Gene; MK801; Machine Learning; Maps; Measurement; Measures; Medical; Memantine; Memory; Memory impairment; Methodology; Mitogen-Activated Protein Kinases; Modeling; Molecular; Molecular Analysis; Molecular Biology; Molecular Profiling; Mus; Mutate; N-Methyl-D-Aspartate Receptors; N-Methylaspartate; Neural Network Simulation; Nuclear; Outcome; Output; Pathway interactions; Pentylenetetrazole; Pharmacological Treatment; Pharmacology; Pharmacotherapy; Phase; Phosphoric Monoester Hydrolases; Phosphorylation; Population; Predictive Value; Protein Array; Protein Kinase; Proteins; Publishing; Research Personnel; Resources; Sampling; Set protein; Signal Pathway; Signal Transduction; Solutions; System; Systems Biology; Task Performances; Testing; Therapeutic; Therapeutic Intervention; Transgenic Organisms; Trisomy; United States; Validation; aged; arm; base; brain tissue; conditioned fear; design; familial Alzheimer disease; gene function; intersectin 1; male; mathematical model; mouse Ts1Cje; mouse Ts65Dn; mouse model; multidisciplinary; network models; novel; overexpression; postnatal; public health relevance; rac GTP-Binding Proteins; receptor; response; social; synaptojanin; therapeutic target; therapy design; time interval

DESCRIPTION (provided by applicant): The incidence of Down syndrome (DS) is one in 700 live births, the life expectancy is now >50 years, and the average IQ is approximately 50. Therefore, DS is a significant social and medical issue. Many phenotypic features of DS, including cognitive deficits and neuroanatomical abnormalities, develop postnatally, arguing that effective therapeutics may be feasible. DS is due to an extra copy of human chromosome 21 (chr21) and the increased expression of genes encoded by it. Chr21 genes impact multiple pathways; there is cross talk among the pathways and functional interactions among chr21 genes. To address these complexities in pursuit of therapeutic targets, we propose a systems approach that is: (1) Hypothesis driven: Based on the functions of chr21 proteins and our behavioral/ molecular analysis of mouse models, we hypothesize that the cognitive deficits in DS are caused by perturbations in MAPK, PI3K and calcineurin pathways and NMDA and GABAA receptor (NMDAR, GABRA) function. We will bias our assays towards specific pathway components. (2) Discovery driven: in a less biased screen, we will use Reverse Phase and antibody arrays to assay for additional perturbations in 10s to 100s of samples and targets. (3) Multidisciplinary: The PI and co-PIs provide expertise in molecular biology, mouse behavioral and pharmacological analysis, and mathematical modeling. The goals of this proposal are to test our hypothesis, to develop new hypotheses by identifying and predicting additional critical pathway perturbations, and to identify potential targets for therapeutics. To fulfill these goals, we propose the following specific aims: 1. Define basal perturbations in candidate pathways. Basal genotype-specific molecular profiles will include 48 protein measurements made in nuclear, cytoplasmic and membrane fractions, from hippocampus, cortex and cerebellum, from five DS mouse models. 2. Define perturbations, in the same pathways in the same models, after behavioral and pharmacological stimulation by exposure to Contextual Fear Conditioning and treatment with NMDAR and GABRA antagonists. Genotype/stimulation-specific molecular profiles will be correlated with behavior. 3. Describe key pathway features and predict results of novel perturbations using Fuzzy Cognitive Maps, supported by Inductive Machine Learning and Neural Networks. Data and pathways will be posted to our Chr21 Gene Function/Pathway database, http://chr21db.cudenver.edu. PUBLIC HEALTH RELEVANCE The incidence of Down syndrome (DS) is one in 700 live births, the life expectancy is now >50 years, and the average IQ is approximately 50, making DS is a significant social and medical issue. Many phenotypic features of DS, including cognitive deficits and neuroanatomical abnormalities, develop postnatally, arguing that effective therapeutics may be feasible. This application combines mouse behavior, pharmacology and molecular analyses with computational modeling. The goal is to define key abnormalities in pathways critical for learning and memory and to identify effective targets for development of potential therapeutics.

描述(由申请人提供)：唐氏综合症(DS)的发病率是每700个活产婴儿中就有一个，现在的预期寿命为50岁，平均智商约为50。因此，DS是一个重大的社会和医学问题。DS的许多表型特征，包括认知障碍和神经解剖异常，是在出生后发展起来的，认为有效的治疗方法可能是可行的。DS是由于人类21号染色体(Chr21)的额外拷贝以及由其编码的基因表达增加所致。Chr21基因影响多条途径，各途径之间存在串扰，chr21基因之间存在功能上的相互作用。为了应对这些复杂的治疗靶点，我们提出了一个系统的方法，即：(1)假设驱动：基于chr21蛋白的功能和我们对小鼠模型的行为/分子分析，我们假设DS的认知缺陷是由MAPK、PI3K和钙调神经磷酸酶途径以及NMDA和GABAA受体(NMDAR，Gabra)功能的扰动引起的。我们将使我们的分析偏向于特定的途径组件。(2)发现驱动：在较少偏见的筛查中，我们将使用反相和抗体阵列在10秒至100秒的样本和目标中检测额外的干扰。(3)多学科：PI和共同PI提供分子生物学、小鼠行为和药理学分析以及数学建模方面的专业知识。这项建议的目标是检验我们的假设，通过识别和预测更多的关键途径扰动来开发新的假设，并确定潜在的治疗靶点。为了实现这些目标，我们提出了以下具体目标：1.定义候选路径中的基本扰动。基本的基因型特定的分子图谱将包括从5个DS小鼠模型的海马体、皮质和小脑的核、细胞质和膜部分进行的48种蛋白质测量。2.在相同的模型中，通过暴露于背景恐惧条件反射和使用NMDAR和Gabra拮抗剂治疗，在相同的路径上定义在行为和药物刺激后的扰动。基因/刺激的特定分子图谱将与行为相关。3.在归纳机器学习和神经网络的支持下，使用模糊认知图描述新扰动的关键路径特征并预测结果。数据和途径将发布到我们的基因功能/途径数据库http://chr21db.cudenver.edu.唐氏综合症(DS)的发病率是每700个活产儿中就有一个，现在的预期寿命是50岁，平均智商约为50，这使得唐氏综合症成为一个重大的社会和医学问题。DS的许多表型特征，包括认知障碍和神经解剖异常，是在出生后发展起来的，认为有效的治疗方法可能是可行的。这一应用程序将老鼠行为、药理学和分子分析与计算建模结合在一起。其目标是确定对学习和记忆至关重要的通路中的关键异常，并确定开发潜在疗法的有效靶点。