Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's Disease
Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's Disease
批准号:
10517122
负责人:
Minghui Wang
金额:
$41.92万
依托单位国家:
美国
项目类别:
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-05-15 至 2023-08-31
关键词:
Administrative SupplementAlzheimer&aposs DiseaseAutomobile DrivingBiologyCell NucleusCellsComparative StudyComplexDataData SetDiseaseEssential GenesFDA approvedGeneticGoalsImmune responseInflammationInflammatoryMalignant NeoplasmsMolecularMolecular ProfilingMultiomic DataNon-Insulin-Dependent Diabetes MellitusPathway AnalysisPathway interactionsPharmaceutical PreparationsProteinsQuantitative Trait LociRheumatoid ArthritisSourceTherapeuticTissuesUnited States National Institutes of Healthcohortgene networkhuman diseasemRNA Expressionmolecular subtypesmultiple omicsnetwork modelsnovelprogramstargeted treatment
中文摘要
失调的炎症/免疫反应已被确定为驱动主要人类疾病的关键因素
英文摘要
Dysregulated inflammation/immune response has been identified as a key factor driving major human diseases
such as cancer, Rheumatoid Arthritis (RA), Type 2 diabetes (T2D) and Alzheimer's disease (AD). However, there
lacks a comprehensive comparative study of the inflammation/immune response components (inflammatome)
in those diseases for identifying more effective targets and therapeutics against multiple inflammation driven
diseases. This concept proposal aims to systematically investigate the uniqueness and commonality of
inflammation related pathways in major human diseases using state-of-the-art multiscale molecular network
modeling approaches to integrate large-scale multi-Omics datasets generated by NIH's AMP Programs and
other sources. This project will identify not only data driven signatures, networks and key drivers of inflammation
conserved across multiple diseases, but also FDA approved drugs that are potentially effective in treating
multiple inflammatory diseases. The proposed study is truly transformative in discovering both novel
mechanisms and therapeutics for major human diseases which involve dysregulated inflammation and immune
response.
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DOI:
10.1186/s13024-022-00552-w
发表时间:
2022-08-24
期刊:
Molecular neurodegeneration
影响因子:
15.1
作者:
[]
通讯作者:
DOI:
10.1038/s41540-017-0036-x
发表时间:
2017
期刊:
NPJ systems biology and applications
影响因子:
4
作者:
[Forst CV, Zhou B, Wang M, Chou TW, Mason G, Song WM, Schadt E, Ghedin E, Zhang B]
通讯作者:
Zhang B
DOI:
10.18632/oncotarget.11870
发表时间:
2016-10-25
期刊:
Oncotarget
影响因子:
--
作者:
[Katsyv I, Wang M, Song WM, Zhou X, Zhao Y, Park S, Zhu J, Zhang B, Irie HY]
通讯作者:
Irie HY
DOI:
10.1371/journal.pcbi.1004574
发表时间:
2015-11
期刊:
PLoS computational biology
影响因子:
4.3
作者:
[Song WM, Zhang B]
通讯作者:
Zhang B
DOI:
10.1038/s41380-018-0258-3
发表时间:
2019-09
期刊:
Molecular psychiatry
影响因子:
11
作者:
[Audrain M, Haure-Mirande JV, Wang M, Kim SH, Fanutza T, Chakrabarty P, Fraser P, St George-Hyslop PH, Golde TE, Blitzer RD, Schadt EE, Zhang B, Ehrlich ME, Gandy S]
通讯作者:
Gandy S
共 69 条