# Neutrophil Polarization Following Myocardial Infarction

> **NIH VA I01** · VETERANS HEALTH ADMINISTRATION · 2022 · —

## Abstract

Abstract
 About one in four myocardial infarction (MI) patients progress to develop congestive heart failure,
which has a 5-year mortality rate of 50%. The goal of this project is to understand post-MI roles of
neutrophils by establishing how this cell type transitions in phenotype during wound healing spanning
from inflammation to repair. We hypothesize that neutrophils undergo a temporal phenotype
evolution that includes influencing post-MI inflammation resolution and ECM organization.
Specific aim 1 will map neutrophil polarization phenotypes over the post-MI time course. Aim 2 will
test the hypothesis that neutrophils actively contribute to inflammation resolution. Aim 3 will test the
hypothesis that neutrophils actively contribute to extracellular matrix organization during scar
formation. Innovation lies in the evaluation of neutrophil subtypes post-MI, which will allow us to
connect early neutrophil cell physiology to late remodeling outcomes. Multi-discipline approaches will
be integrated to explore the mechanisms whereby neutrophils regulate remodeling. This study will
drive forward the understanding of the cellular basis of LV remodeling and identify novel intervention
targets directed at neutrophils.

## Key facts

- **NIH application ID:** 10477238
- **Project number:** 7I01BX000505-12
- **Recipient organization:** VETERANS HEALTH ADMINISTRATION
- **Principal Investigator:** MERRY L. LINDSEY
- **Activity code:** I01 (R01, R21, SBIR, etc.)
- **Funding institute:** VA
- **Fiscal year:** 2022
- **Award amount:** —
- **Award type:** 7
- **Project period:** 2009-10-01 → 2024-06-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10477238

## Citation

> US National Institutes of Health, RePORTER application 10477238, Neutrophil Polarization Following Myocardial Infarction (7I01BX000505-12). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10477238. Licensed CC0.

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