# Dynamics of airway microbiota at pulmonary exacerbation in cystic fibrosis

> **NIH NIH R01** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2020 · $385,883

## Abstract

Project Summary
There is an increasing recognition that the airways of persons with cystic fibrosis (CF) typically harbor complex
polymicrobial communities that include numerous bacterial species. It is unknown, however, how changes in
these communities relate to the progression of lung disease. More specifically, how changes in the structure
and/or activity of airway bacterial communities are associated with the intermittent pulmonary exacerbations
(PExs) that characterize CF has not been systematically investigated. The lack of respiratory specimens and
granular clinical data from periods of time preceding PExs has been a critical barrier to progress in this area.
The scientific premise for this project is that a better understanding of airway microbial community dynamics
with respect to PExs will provide new opportunities to better care to persons with CF. The overarching
hypothesis is that changes in the structure and/or activity of these communities drive the pathophysiology of
PExs. In the short term, this study will identify targets of immediate translational clinical interest. In the longer
term, this project will elucidate the mechanisms governing microbial community and host changes associated
with PExs. The specific aims of this project are to (i) characterize microbial community and host inflammatory
changes that occur with PEx, (ii) develop predictive models of PEX resolution, and (iii) develop dynamic
models that predict microbe-microbe and host-microbe interactions during PEx. The feasibility of this project is
supported by a pilot project in which we prospectively collected daily sputum samples from a cohort of CF
patients during the course of up to two years. The prospective collection of daily samples and clinical metadata
proposed in the current project incorporates several improvements that will yield more robust results. Next-
generation DNA sequencing and analysis of bacterial metabolites will be used to characterize the structure and
activity of the bacterial communities in samples obtained around the time of pulmonary exacerbations.
Microbial community changes that correlate with exacerbation onset, severity and recovery will be identified.
Modeling of these changes will describe the microbial-microbial and host-microbial interactions associated with
transitions in clinical state throughout the PEx cycle. This information will form the basis of follow on studies to
better understand the pathophysiologic mechanisms of PEx in CF.

## Key facts

- **NIH application ID:** 9906260
- **Project number:** 5R01HL136647-04
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** JOHN J LIPUMA
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $385,883
- **Award type:** 5
- **Project period:** 2017-05-03 → 2023-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9906260

## Citation

> US National Institutes of Health, RePORTER application 9906260, Dynamics of airway microbiota at pulmonary exacerbation in cystic fibrosis (5R01HL136647-04). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/9906260. Licensed CC0.

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