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Using Genetic Diversity to Manage Neurological Disease

利用遗传多样性来治疗神经系统疾病

基本信息

批准号：
10321554
负责人：
William Edward Balch
金额：
$ 44.38万
依托单位：
SCRIPPS RESEARCH INSTITUTE, THE
依托单位国家：
美国
项目类别：
财政年份：
2021
资助国家：
美国
起止时间：
2021-01-01 至 2025-12-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10321554
关键词：
Address Aging Alleles Alzheimer&apos s Disease Amino Acid Sequence Automobile Driving Autophagocytosis Basic Science Biochemical Biological Sciences Birth Brain Buffers Cells Cessation of life Characteristics Chemicals Cholesterol Cholesterol Homeostasis Clinical Disease Disease Management Disease Progression Environment Etiology GRP gene Gaussian model Genes Genetic Genetic Diseases Genetic Variation Genome Genotype Goals Heat-Shock Proteins 70 Heat-Shock Response Human Individual Inherited Knowledge Late Onset Alzheimer Disease Lead Learning Light Lipids Lysosomes Machine Learning Modernization Molecular Molecular Chaperones Molecular Mechanisms of Action Neurodegenerative Disorders Niemann-Pick Diseases Pathology Pathway interactions Patients Phenotype Population Process Proteins Rare Diseases Resolution Role Signal Pathway Specificity Stress Structure System Target Populations Therapeutic Therapeutic Intervention Time Ubiquitin Uncertainty United States National Library of Medicine Variant base biochemical tools biophysical tools cell type cholesterol control druggable target early onset fitness genomic variation human model improved insight loss of function multicatalytic endopeptidase complex nervous system disorder novel polypeptide precision medicine prevent prognostic protein folding protein function protein misfolding proteostasis rare genetic disorder rare variant response small molecule tool trafficking

项目摘要

Project Summary/Abstract Understanding and treating genome abnormalities that lead to rare genetic neurodegenerative diseases such as Niemann-Pick C1 globally managing cholesterol homeostasis, or APOE alleles impacting cholesterol homeostasis in the brain triggering late-onset Alzheimer’s disease (LOAD), present a major challenge from both basic science and clinical perspectives. We have developed a Gaussian process regression (GPR) based machine learning (ML) approach that captures for the first time genomic variation in the population to understand the spatial covariance (SCV) relationships contributing to sequence-to-function-to-structure relationships in the individual. Genetic disease is fundamentally a problem of understanding the impact of altered folding intermediates found in response to variation in the protein fold and how they are managed by proteostasis. Proteostasis encompasses a broad range of chaperone and degradative components that manage the synthesis, folding/stability and function of the protein fold in response to inherited and environmental stress and aging. The general premise of this proposal is to develop a deep genome-based understanding of proteostasis that will teach us how to manage genetic diseases triggered by folding stress. The rationale for this proposal is that sparse genetic diversity found in the population, when used as a collective through application of GRP-ML defined SCV relationships, can provide us on a residue-by-residue basis insight into the folding intermediates that contribute to disease for the entire polypeptide sequence. The objective of this proposal is to understand the role of proteostasis in managing this genetic diversity for the benefit of therapeutic intervention. We hypothesize that management of the polypeptide fold of disease-causing variant proteins found in the population by targeting the function of the multivalent Hsp40 and Hsp70 co-chaperone/chaperone branch (the Hsp70 axis) of the proteostasis network will enable precision correction of misfolding phenotypes found in neurodegenerative disease. Our approach will study the impact of variation in the Niemann Pick C1 (NPC1) gene. NPC1 is an inherited, autosomal recessive, disorder characterized by the abnormal accumulation of unesterified cholesterol and other lipids in late endosomal (LE) and lysosome (Ly) compartments of all cell types. The primary effect of NPC1 variation results in early onset neurodegenerative disease in response to loss of cholesterol homeostasis. In Aim 1 we will explore the ability of small molecules to allosterically regulate the activity of components of the Hsp70 axis to retune the synthesis, folding/stability, trafficking and/or function of NPC1 variants. In Aim 2 we will explore the molecular mechanism of action (MoA) of the Hsp70 axis components that are responsible for enabling NPC1 variant correction. Completion of both aims will generate a comprehensive assessment of the role of Hsp70 axis in NPC1 disease progression and will be used as a guide for advancement of a precision medicine approach to reduce or prevent the onset of neurodegenerative disease triggered by genomic variation in NPC1 population.

项目总结/文摘