# Efferocytosis-Directed Inflammation Resolution and Repair in the Hypoxic Heart

> **NIH NIH R01** · NORTHWESTERN UNIVERSITY · 2024 · $682,846

## Abstract

Thorp Project Summary Abstract
Cardiac injury and heart failure are significant causes of morbidity and mortality. Enhanced
therapeutic strategies that are informed by new discoveries in the fundamental mechanisms of
biology have the potential to enhance tissue repair and improve health. Diverse risk factors
including age, sex, diet, and hypertension can affect disease outcome. Within this framework,
common underlying factors of disease progression are inflammation and cells of the innate
immune system. This includes myeloid phagocytes, which have the capacity to be either
cardioprotective or cardiopathogenic. After myocardial injury, the extent of inflammation and the
activation state of myeloid macrophages have been linked to the degree of myocardial stress,
cardiac fibrosis, and cardiac performance. One explanation for this is the ability of macrophage
subsets to secrete potent cytokines which regulate the activity of nearby cells, such as
parechymal, stromal, and neighboring immune cells of the heart. Our studies will identify novel
roles for macrophage subsets and intercellular crosstalk by signaling through vascular
endothelial growth factors, as well as integrated contributions of mitochondrial
immunometabolism.

## Key facts

- **NIH application ID:** 10899286
- **Project number:** 2R01HL122309-10
- **Recipient organization:** NORTHWESTERN UNIVERSITY
- **Principal Investigator:** Edward Benjamin Thorp
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $682,846
- **Award type:** 2
- **Project period:** 2014-04-01 → 2025-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10899286

## Citation

> US National Institutes of Health, RePORTER application 10899286, Efferocytosis-Directed Inflammation Resolution and Repair in the Hypoxic Heart (2R01HL122309-10). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10899286. Licensed CC0.

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