Integrative Network Biology Approaches to Identify, Characterize and Validate Molecular Subtypes in Alzheimer's Disease

NIH RePORTER · NIH · U01 · $419,201 · view on reporter.nih.gov ↗

Abstract

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.

Key facts

NIH application ID
10517122
Project number
3U01AG046170-09S1
Recipient
ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
Principal Investigator
Minghui Wang
Activity code
U01
Funding institute
NIH
Fiscal year
2022
Award amount
$419,201
Award type
3
Project period
2014-05-15 → 2023-08-31