# Investigating the Impact of Novel Senescent Microglia in Alzheimer's Disease Progression

> **NIH NIH R21** · MAYO CLINIC ROCHESTER · 2024 · $295,223

## Abstract

Title: Inves�ga�ng the Impact of Novel Senescent Microglia in Alzheimer's Disease Pathology
Abstract: Alzheimer's Disease (AD) is a debilita�ng neurodegenera�ve disorder with a cri�cal need for
improved therapeu�c strategies. One controversial component of AD progression is the role of microglia,
the brain's immune cells. Recent research indicates a subpopula�on of these cells exhibi�ng senescence
characteris�cs, raising the ques�on if these senescent microglia might contribute to AD progression
through a senescence-associated secretory phenotype (SASP). Our proposal aims to elucidate the role of
these cells in AD using a two-fold approach: defining and characterizing these senescent microglia through
proteomic, transcriptomic, and spa�al-omics profiling (Aim 1) and inves�ga�ng whether removing these
senescent microglia can slow or delay AD progression (Aim 2). We plan to leverage a novel transgenic
mouse model to selec�vely ablate newly iden�fied senescent microglia and assess the subsequent impact
on AD progression. If successful, these studies could offer novel insight into AD pathology and iden�fy
poten�al therapeu�c targets by focusing on the selec�ve elimina�on of senescent microglia.

## Key facts

- **NIH application ID:** 10883863
- **Project number:** 1R21AG087361-01
- **Recipient organization:** MAYO CLINIC ROCHESTER
- **Principal Investigator:** Matthew J Yousefzadeh
- **Activity code:** R21 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $295,223
- **Award type:** 1
- **Project period:** 2024-04-15 → 2025-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10883863

## Citation

> US National Institutes of Health, RePORTER application 10883863, Investigating the Impact of Novel Senescent Microglia in Alzheimer's Disease Progression (1R21AG087361-01). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10883863. Licensed CC0.

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