Integrated understanding of complex viral network biology in Alzheimer's Disease
Integrated understanding of complex viral network biology in Alzheimer's Disease
批准号:
9557996
负责人:
Joel Thomas Dudley
金额:
$84.41万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-15 至 2019-02-28
关键词:
AgeAlzheimer&aposs DiseaseAlzheimer&aposs disease modelAlzheimer&aposs disease riskAnimal ModelAntigensAntiviral AgentsAutopsyBiologicalBiological AssayBiologyBrain regionC2H2 Zinc FingerCellsCessation of lifeClinicalCognitiveCommunitiesComplexCytoskeletal ModelingDNADNA sequencingDataData SetDementiaDisease ProgressionDisease modelEvaluationFunctional disorderG-QuartetsG-substrateGeneticGenomicsHHV-6AHereditary DiseaseHippocampus (Brain)HumanHuman Herpesvirus 7Immune responseImpaired cognitionIndividualInnate Immune ResponseInterventionLasersLinkMapsMeasuresMediatingMicrobeModelingMolecularMolecular GeneticsMolecular ModelsNerve DegenerationNeuronsPathogenicityPathologyPathway AnalysisPhenotypePredispositionProductivityProtein BiosynthesisProteinsRNARecordsResearchResearch PersonnelRoleRoseolovirusSamplingSeveritiesSeverity of illnessStructureSusceptibility GeneTestingTimeTissuesVariantViralViral GenesViral PhysiologyVirusWorkamyloid precursor protein processingbasecase controldisorder controldrug discoveryentorhinal cortexexperimental studyfunctional genomicshuman subjectimprovedmicrobialmolecular modelingmolecular pathologynetwork modelsneuropathologynext generationnext generation sequencingnovelnovel therapeuticspathogenpre-clinicalrole modeltraittranscriptome sequencingvirus virus interaction
中文摘要
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英文摘要
Investigators have long suspected that pathogenic microbes might contribute to the onset or progression of
Alzheimer's disease (AD), but the question of whether microbe-related antigens represent a causal component
of AD, or are an opportunistic passenger of neurodegeneration is difficult to resolve. Here we propose to
expand on our preliminary work mapping biological networks underlying two distinct AD-associated
phenotypes using independent post-mortem data sets collected from human subjects. First, we apply a
computational approach to build region-specific biological networks from `preclinical AD' samples measured
from individuals that meet neuropathological criteria for AD, but who were cognitively intact at the time of
death. Specifically, we construct regulatory networks from laser capture microdissected neurons collected from
entorhinal cortex (EC) and hippocampal (HIP) tissue and compared the structure of preclinical AD and control
networks. We use network analysis to identify several sub-networks and key drivers perturbed in preclinical
AD. Functional genomic analysis of networks identified many enrichments relevant to viral susceptibility loci
among network drivers, including roles for C2H2 zinc fingers, G4-quadruplex activity, and miR-155 in
regulating diverse pro and anti-viral factors. Preliminary network analysis of a second independent data set
characterizing individuals with `clinical AD' identified more direct evidence for network mechanisms of viral
activity in AD. The availability of next-generation DNA and RNA sequencing allowed us to evaluate the direct
presence of viral sequences, and quantify association with AD. We built preliminary network models of host-
virus regulatory interactions and virus-virus interactions to correlate viral species with the severity of cognitive
impairment and neuropathology. We find evidence that the virus-host landscape is shaped by both competitive
and synergistic interactions between multiple viral species, with collective impacts on amyloid precursor protein
(APP) processing, cytoskeletal organization, protein synthesis and innate immune response. We identified host
DNA variants that associate with viral abundance (vQTL), and found that vQTLs associate with increased AD
risk, clinical dementia severity, and neuropathology severity, indicating a shared genetic basis linking risk for
AD, severity of AD neuropathology, and abundance of specific viral species. We propose to perform
computational and experimental work to further elucidate the specific network mechanisms causal drivers or
viral pathogens in AD pathophysiology. Specifically, we aim i) to map and models the roles of specific viral
species in modulating pathogenic molecular, genetic, and clinical networks in preclinical and clinical AD, ii) to
evaluate the roles of C2H2 zinc finger proteins and G-quadruplex sequences in mediating molecular pathology
of preclinical and clinical AD, and iii) to identify and evaluate specific molecules that mediate viral effects upon
the molecular pathology of preclinical and clinical AD.
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Pre-clinical Testing of a Novel Therapeutic for Nonalcoholic Steatohepatitis
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批准号:9386379
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项目类别:
-
资助金额:$33.85万
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财政年份:2017
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负责人:Joel Thomas Dudley
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依托单位:
Data Organization Core
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批准号:8934410
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项目类别:
-
资助金额:$44.92万
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财政年份:2014
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负责人:Joel Thomas Dudley
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依托单位:
Mount Sinai's Knowledge Management Center for Illuminating the Druggable Genome
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批准号:9558160
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项目类别:
-
资助金额:$6.6万
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财政年份:2014
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负责人:Joel Thomas Dudley
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依托单位:
Mount Sinai's Knowledge Management Center for Illuminating the Druggable Genome
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批准号:8785466
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项目类别:
-
资助金额:$62.13万
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财政年份:2014
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负责人:Joel Thomas Dudley
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依托单位:
Network Based Predictive Drug Discovery for Alzheimer's Disease
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批准号:8849718
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项目类别:
-
资助金额:$36.65万
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财政年份:2014
-
负责人:Joel Thomas Dudley
-
依托单位:
Mount Sinai's Knowledge Management Center for Illuminating the Druggable Genome
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批准号:9325632
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项目类别:
-
资助金额:$56.2万
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财政年份:2014
-
负责人:Joel Thomas Dudley
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依托单位:
Administrative Core
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批准号:8934412
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项目类别:
-
资助金额:$10.01万
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财政年份:2014
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负责人:Joel Thomas Dudley
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依托单位:
User Interface Portal
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批准号:8934411
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项目类别:
-
资助金额:$7.21万
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财政年份:2014
-
负责人:Joel Thomas Dudley
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依托单位:
Methods for Evolutionary Informed Network Analysis to Discover Disease Variation
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批准号:8826738
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项目类别:
-
资助金额:$41.46万
-
财政年份:2013
-
负责人:Joel Thomas Dudley
-
依托单位:
Methods for Evolutionary Informed Network Analysis to Discover Disease Variation
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批准号:8482670
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项目类别:
-
资助金额:$43.15万
-
财政年份:2013
-
负责人:Joel Thomas Dudley
-
依托单位:
Methods for Evolutionary Informed Network Analysis to Discover Disease Variation
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批准号:8627167
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项目类别:
-
资助金额:$41.44万
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财政年份:2013
-
负责人:Joel Thomas Dudley
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依托单位:
Methods for Evolutionary Informed Network Analysis to Discover Disease Variation
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批准号:9041579
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项目类别:
-
资助金额:$41.46万
-
财政年份:2013
-
负责人:Joel Thomas Dudley
-
依托单位:
Administrative Core
-
批准号:8934415
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项目类别:
-
资助金额:$9.24万
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财政年份:--
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负责人:Joel Thomas Dudley
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依托单位: