# Molecular imaging of RIPK1/necroptosis as a key biomarker in Alzheimer's disease

> **NIH NIH R61** · MASSACHUSETTS GENERAL HOSPITAL · 2020 · $832,432

## Abstract

Project Summary
Alzheimer’s disease (AD) is a neurodegenerative disorder and the primary cause of dementia in the elderly and
there is no cure currently available. Necroptosis is a complex and regulated caspase-independent cell death
mechanism mediated by various protein members, e.g. receptor-interacting protein kinase 1 (RIP1 or RIPK1)
involving inflammation. Notably, RIPK1 is up-regulated by microglial cells in human AD brains and mediates a
disease-associated microglial response in AD.
Unfortunately, there are no suitable non-invasive neuroimaging tools for investigating these processes in animals
or in man. The development of a biomarker for visualizing RIPK1 in vivo represents a key step in understanding
both the normal function and pathophysiology of RIPK1 in brain. Moreover, these techniques will accelerate the
discovery of small molecule therapeutics that selectively interacts with RIPK1.
The project is designed to validate a novel PET imaging probe for RIPK1 imaging in rodents and non-human
primates during the R61 phase and perform the first-in-human imaging in the R33 phase. The success of healthy
control imaging in this grant period will lead to further imaging study in patients.

## Key facts

- **NIH application ID:** 10008331
- **Project number:** 1R61AG067916-01
- **Recipient organization:** MASSACHUSETTS GENERAL HOSPITAL
- **Principal Investigator:** Changning Wang
- **Activity code:** R61 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $832,432
- **Award type:** 1
- **Project period:** 2020-04-15 → 2025-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10008331

## Citation

> US National Institutes of Health, RePORTER application 10008331, Molecular imaging of RIPK1/necroptosis as a key biomarker in Alzheimer's disease (1R61AG067916-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10008331. Licensed CC0.

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