# Defining mechanisms of microbe-microbe interactions in chronic wound infection

> **NIH NIH K22** · UNIVERSITY OF OKLAHOMA · 2022 · $162,000

## Abstract

Project Summary
Staphylococcus aureus is a leading cause of human infection worldwide. Investigations into Staphylococcus
aureus pathogenesis have focused on mono-species infections and the impact of co-infecting microbes on S.
aureus physiology during infection remains understudied but critically important. My recent work has focused on
characterizing S. aureus physiology during mono- and co-infection with Pseudomonas aeruginosa using next-
generation sequencing techniques. The current application builds logically on this work and is focused on
characterizing the interactions between S. aureus and co-infecting microbes within chronic wound infections.
The overall goal of this application is two-fold: 1) to define the metabolic interactions that occur between S.
aureus and co-infecting microbes during infection (Specific Aim 1); and 2) to expand on these findings to
determine the impact of microbe-microbe interactions on S. aureus physiology within human infections (Specific
Aim 2). This work is likely to yield important discoveries that will aid in our understanding of the underlying
mechanisms of microbe-microbe interactions within chronic polymicrobial infections.

## Key facts

- **NIH application ID:** 10105702
- **Project number:** 1K22AI155927-01
- **Recipient organization:** UNIVERSITY OF OKLAHOMA
- **Principal Investigator:** Carolyn Brook Ibberson
- **Activity code:** K22 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $162,000
- **Award type:** 1
- **Project period:** 2022-02-09 → 2024-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10105702

## Citation

> US National Institutes of Health, RePORTER application 10105702, Defining mechanisms of microbe-microbe interactions in chronic wound infection (1K22AI155927-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10105702. Licensed CC0.

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