# Identifying Contributions of Pulmonary Inflammation to Sleep-Disordered Breathing

> **NIH NIH R03** · BRIGHAM AND WOMEN'S HOSPITAL · 2020 · $89,500

## Abstract

ABSTRACT
Sleep disordered breathing (SDB), which includes sleep apnea and related disorders, is a highly prevalent
disorder that increases the risk of cardiopulmonary, metabolic, and other diseases. Continuous positive airway
pressure (CPAP), the most common treatment for SDB, remains suboptimal with poor patient adherence.
Identifying genes contributing to physiologically relevant pathways will increase our understanding and aid in
the discovery of improved countermeasures and more personalized treatments. As part of the PI’s ongoing K01
project, we assembled the largest known genetic study of objectively measured SDB and identified the first
common- and rare-frequency genetic associations with SDB at genome-level significance. Literature searches
indicate that many of our suspected genes in multiple associated regions are involved with pulmonary
inflammation, suggesting that genes implicated in pulmonary inflammation may have an important but
unmeasured causal role for the development of SDB (in addition to the known effects of SDB on inflammation).
Simultaneously, our collaborators have identified associations between SDB and subclinical measures of
interstitial lung disease defined by abnormalities in computed tomography images. SDB affects up to 88% of
adults with idiopathic pulmonary fibrosis (IPF), and many of our suspected SDB genes are also implicated in
IPF. The broad overlap of these genes suggests that pulmonary inflammation and injury may contribute to SDB
through a common biological mechanism. The next logical steps in translating these genetic findings into
broader biological insights are to systematically investigate the impact of inflammation on SDB and clarify if
these potential effects are mediated by pulmonary or other effects. Candidate traits that influence SDB will be
identified using polygenic risk scores derived from existing studies. The potential impact of these significant
traits at specific genetic loci will be investigated using genetic colocalization. We will also identify genes that
may be mediating these interactions using externally derived gene expression data in candidate tissues. Our
specific aims are to: 1) to identify potential inflammation-related predictors of sleep disordered breathing
severity; and 2) to identify potential pulmonary predictors of sleep disordered breathing severity. The proposed
project is a natural extension of the PI’s K01 and will improve our understanding of the potential physiological
and molecular mechanisms of sleep disordered breathing, a common disorder impacting millions of
individuals.

## Key facts

- **NIH application ID:** 10064441
- **Project number:** 1R03HL154284-01
- **Recipient organization:** BRIGHAM AND WOMEN'S HOSPITAL
- **Principal Investigator:** Brian Edmand Cade
- **Activity code:** R03 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $89,500
- **Award type:** 1
- **Project period:** 2020-09-05 → 2022-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10064441

## Citation

> US National Institutes of Health, RePORTER application 10064441, Identifying Contributions of Pulmonary Inflammation to Sleep-Disordered Breathing (1R03HL154284-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10064441. Licensed CC0.

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