Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-AD
AMP-AD 中疾病亚分类和目标优先级的代谢组学特征
基本信息
- 批准号:10002163
- 负责人:
- 金额:$ 160.48万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-30 至 2023-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAlzheimer&aposs DiseaseAlzheimer&aposs disease modelAlzheimer&aposs disease therapeuticAminesAnimalsAntidepressive AgentsAtlasesAtrophicBile AcidsBindingBiochemicalBiochemical PathwayBiological MarkersBiological ModelsBlood specimenBrainBrain DiseasesBrain imagingBranched-Chain Amino AcidsCardiovascular DiseasesChemicalsCholesterolClassificationClinicalClinical TrialsCognitionCognitiveCommunitiesDataDatabasesDevelopmentDiabetes MellitusDiseaseDrug TargetingDrug usageEarly InterventionEnzymesFailureFatty LiverFluorouracilFoundationsFramingham Heart StudyFunctional disorderGene ExpressionGenesGeneticGenetic VariationGenomeGenotypeGlucoseGlutamatesGoalsHeterogeneityHumanImpaired cognitionKnowledgeLeadLecithinLife StyleLinkLipidsLiverLiver diseasesMalignant NeoplasmsMeasuresMedicalMetabolicMetabolic PathwayMetabolismMolecularMonitorNetwork-basedNeurotransmittersPathogenesisPathway interactionsPatientsPeripheralPhagocytosisPharmaceutical PreparationsPhasePhenotypePreventionProxyRegulationResearchRiskRisk FactorsRoleSamplingSex DifferencesSignal TransductionSignaling MoleculeSphingomyelinsStratificationStructureSymptomsTimeTranslationsTryptophanTyrosineValidationVertebral columnbiomarker developmentbrain healthclinical phenotypeclinical subtypescohortcytotoxicdisease phenotypedisorder subtypedrug developmentdrug discoverygut microbiomehuman dataimmune functioninsightmetabolic phenotypemetabolomicsmolecular scalenetwork modelsneuroimagingnew therapeutic targetnovelnovel therapeuticspre-clinicalprecision medicineprotein expressionresearch clinical testingsextooltreatment response
项目摘要
ABSTRACT:
The AMP-AD Target Discovery and Preclinical Validation Project aims to reduce the time between the discovery
of potential drug targets and the development of new drugs for Alzheimer’s disease (AD) treatment and
prevention (RFA-AG-18-013). The six involved consortia under AMP-AD have generated large-scale molecular
data from human brain samples with network modeling approaches and experimental validation that defined
novel potential drug targets for AD. A major challenge for the next phase is to provide a deeper molecular
understanding of key implicated pathways and their enzymes, transporters and signaling molecules that are
amenable for drug discovery efforts. Defining a molecular basis for heterogeneity within disease is critical for
successful drug development within a precision medicine context. Our AD Metabolomics Consortium (ADMC)
became part of AMP-AD one-year post inception of Phase I, adding the power of metabolomics to these efforts.
AD has foundational metabolic changes that happen early and pre-symptomatically. Most of the genes
implicated in AD suggest a role for lipid processing, immune function regulation, and phagocytosis that are all
related to metabolic functions. Detailed biochemical knowledge advanced the medical field, providing tools for
monitoring disease, such as measures of glucose and cholesterol in diabetes and cardiovascular diseases,
and resulted in development of drugs, such as statins and antidepressants. In Phase I, we helped to define
biochemical trajectories of disease bridging peripheral and brain metabolic changes to AMP-AD. We built
metabolic networks for early changes in AD that correlate with CSF and brain imaging changes, defining sex
differences and their biochemical trajectories of disease, identifying the role of the gut microbiome and liver in
cognitive decline and brain glucose changes and atrophy, supporting the importance of the gut-liver-brain axis
in AD. In addition, we have highlighted two classes of drugs for possible repurposing (from MS and fatty liver
disease) We have informed three other consortia within AMP-AD about their putative targets, supporting them
with links to biochemical pathways and bringing seemingly diverse omics findings to common biochemical
pathways. During AMP-AD Phase II, we propose to expand metabolomic analyses to accelerate AMP-AD
progress towards novel drug discovery. By working with AMP-AD partners, we will systematically address
contributions of peripheral metabolism to brain health and disease and will provide biochemical readouts as an
intermediate phenotype for rich omics data generated in the consortium. By profiling and analyzing samples
from large community studies pre-symptomatically and by building an Atlas connecting genotypes and
metabolomic signatures of AD we hope to provide biochemical insights about mechanisms and sub-classes of
disease. In summary, the ADMC will provide an enabling metabolic interconnecting framework to accelerated
AD therapeutic developing in AMP-AD.
文摘:
项目成果
期刊论文数量(0)
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Rima F Kaddurah-Daouk其他文献
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{{ truncateString('Rima F Kaddurah-Daouk', 18)}}的其他基金
Metabolomic Signatures for Disease Sub-classification and Target Prioritization in AMP-AD
AMP-AD 中疾病亚分类和目标优先级的代谢组学特征
- 批准号:
10084547 - 财政年份:2020
- 资助金额:
$ 160.48万 - 项目类别:
Project 3 - Mechanistic studies on role of gut microbiome in models for Alzheimer's disease
项目 3 - 肠道微生物组在阿尔茨海默病模型中作用的机制研究
- 批准号:
9795005 - 财政年份:2019
- 资助金额:
$ 160.48万 - 项目类别:
Project 3 - Mechanistic studies on role of gut microbiome in models for Alzheimer's disease
项目 3 - 肠道微生物组在阿尔茨海默病模型中作用的机制研究
- 批准号:
10017880 - 财政年份:2019
- 资助金额:
$ 160.48万 - 项目类别:
Project 2 - Influence of controlled diets on gut microbiome, metabolome and cognitive function
项目 2 - 控制饮食对肠道微生物组、代谢组和认知功能的影响
- 批准号:
9795004 - 财政年份:2019
- 资助金额:
$ 160.48万 - 项目类别:
Project 2 - Influence of controlled diets on gut microbiome, metabolome and cognitive function
项目 2 - 控制饮食对肠道微生物组、代谢组和认知功能的影响
- 批准号:
10017878 - 财政年份:2019
- 资助金额:
$ 160.48万 - 项目类别:
Project 1 - Changes in Gut Microbiome and related Metabolome Across Trajectory of Alzheimer's Disease
项目 1 - 阿尔茨海默氏病轨迹中肠道微生物组和相关代谢组的变化
- 批准号:
10017875 - 财政年份:2019
- 资助金额:
$ 160.48万 - 项目类别: