R01HL151588
Project Grant
Overview
Grant Description
Imaging and Molecular Phenotyping of Cystic Fibrosis Lung Disease
Cystic Fibrosis (CF) is among the most common fatal genetic diseases in the U.S. It is characterized by progressive lung function loss and structural remodeling, which can ultimately lead to lung transplant or death. Although life expectancy in CF patients has increased due to improved treatments, pathological changes still occur within the first year of life. However, detecting these early changes has been challenging because conventional measures of lung function, such as spirometry, are lagging indicators and insensitive to early disease.
In contrast, ultra-short echo-time (UTE) and hyperpolarized (HP) 129XE MRI have shown promise in detecting pathology years before spirometry changes. Additionally, proteomic biomarkers from high-precision mass spectrometry (MS), when coupled with functional data (FD) analysis, have accurately forecasted CF lung disease progression. However, these biomarkers have only been validated in patients with established disease.
The long-term goal of this research is to validate proteomic markers that can detect and predict lung function decline and structural remodeling in early lung disease. The objective of this application is to use state-of-the-art HP 129XE and UTE MRI to validate proteomic markers in early CF. This will be accomplished using blood serum and clinically obtained bronchoalveolar lavage (BAL) fluid from CF patients with known lung pathology.
The central hypothesis of this research is that image-guided proteomics can forecast pathophysiology before spirometric changes are observed. The rationale behind this hypothesis is that while 129XE and UTE MRI are currently limited to specialized centers, MS proteomics can be performed on readily obtained clinical specimens and translated with FD analysis into an easily disseminated tool to predict impending lung disease progression, enabling interventions before permanent lung damage occurs.
Guided by combined MRI and proteomic data and the utility of FD analysis to predict lung function decline, the central hypothesis will be tested by completing the following specific aims:
1) Validate predictive biomarkers in CF patients with normal spirometry but abnormal ventilation.
2) Determine the sensitivity and specificity of systemic biomarkers in predicting early structural remodeling in CF lung disease.
3) Perform clinical bronchoscopy to identify molecular signatures of irreversible lung remodeling.
The necessary MRI sequences and reconstruction pipeline have been developed to complete the work. For aims 1 and 2, MRI and MS proteomics have been used to identify key biomarkers to predict structural and functional abnormalities in CF. For aim 3, BAL proteomics has been used to identify molecular changes at the pathway level in CF patients.
This proposed research is innovative because it will use cutting-edge imaging to validate molecular tools to assess early lung disease. The results will be significant as they will produce an easily disseminated tool to predict permanent structural remodeling and irreversible functional losses. This work will have an immediate positive impact by developing and translating non-invasive tests to identify CF patients at high risk of lung damage and intervene before irreversible changes occur. It will also provide a unique platform to assess pathological progression in a wide range of lung diseases.
Cystic Fibrosis (CF) is among the most common fatal genetic diseases in the U.S. It is characterized by progressive lung function loss and structural remodeling, which can ultimately lead to lung transplant or death. Although life expectancy in CF patients has increased due to improved treatments, pathological changes still occur within the first year of life. However, detecting these early changes has been challenging because conventional measures of lung function, such as spirometry, are lagging indicators and insensitive to early disease.
In contrast, ultra-short echo-time (UTE) and hyperpolarized (HP) 129XE MRI have shown promise in detecting pathology years before spirometry changes. Additionally, proteomic biomarkers from high-precision mass spectrometry (MS), when coupled with functional data (FD) analysis, have accurately forecasted CF lung disease progression. However, these biomarkers have only been validated in patients with established disease.
The long-term goal of this research is to validate proteomic markers that can detect and predict lung function decline and structural remodeling in early lung disease. The objective of this application is to use state-of-the-art HP 129XE and UTE MRI to validate proteomic markers in early CF. This will be accomplished using blood serum and clinically obtained bronchoalveolar lavage (BAL) fluid from CF patients with known lung pathology.
The central hypothesis of this research is that image-guided proteomics can forecast pathophysiology before spirometric changes are observed. The rationale behind this hypothesis is that while 129XE and UTE MRI are currently limited to specialized centers, MS proteomics can be performed on readily obtained clinical specimens and translated with FD analysis into an easily disseminated tool to predict impending lung disease progression, enabling interventions before permanent lung damage occurs.
Guided by combined MRI and proteomic data and the utility of FD analysis to predict lung function decline, the central hypothesis will be tested by completing the following specific aims:
1) Validate predictive biomarkers in CF patients with normal spirometry but abnormal ventilation.
2) Determine the sensitivity and specificity of systemic biomarkers in predicting early structural remodeling in CF lung disease.
3) Perform clinical bronchoscopy to identify molecular signatures of irreversible lung remodeling.
The necessary MRI sequences and reconstruction pipeline have been developed to complete the work. For aims 1 and 2, MRI and MS proteomics have been used to identify key biomarkers to predict structural and functional abnormalities in CF. For aim 3, BAL proteomics has been used to identify molecular changes at the pathway level in CF patients.
This proposed research is innovative because it will use cutting-edge imaging to validate molecular tools to assess early lung disease. The results will be significant as they will produce an easily disseminated tool to predict permanent structural remodeling and irreversible functional losses. This work will have an immediate positive impact by developing and translating non-invasive tests to identify CF patients at high risk of lung damage and intervene before irreversible changes occur. It will also provide a unique platform to assess pathological progression in a wide range of lung diseases.
Funding Goals
THE DIVISION OF LUNG DISEASES SUPPORTS RESEARCH AND RESEARCH TRAINING ON THE CAUSES, DIAGNOSIS, PREVENTION, AND TREATMENT OF LUNG DISEASES AND SLEEP DISORDERS. RESEARCH IS FUNDED THROUGH INVESTIGATOR-INITIATED AND INSTITUTE-INITIATED GRANT PROGRAMS AND THROUGH CONTRACT PROGRAMS IN AREAS INCLUDING ASTHMA, BRONCHOPULMONARY DYSPLASIA, CHRONIC OBSTRUCTIVE PULMONARY DISEASE, CYSTIC FIBROSIS, RESPIRATORY NEUROBIOLOGY, SLEEP AND CIRCADIAN BIOLOGY, SLEEP-DISORDERED BREATHING, CRITICAL CARE AND ACUTE LUNG INJURY, DEVELOPMENTAL BIOLOGY AND PEDIATRIC PULMONARY DISEASES, IMMUNOLOGIC AND FIBROTIC PULMONARY DISEASE, RARE LUNG DISORDERS, PULMONARY VASCULAR DISEASE, AND PULMONARY COMPLICATIONS OF AIDS AND TUBERCULOSIS. THE DIVISION IS RESPONSIBLE FOR MONITORING THE LATEST RESEARCH DEVELOPMENTS IN THE EXTRAMURAL SCIENTIFIC COMMUNITY AS WELL AS IDENTIFYING RESEARCH GAPS AND NEEDS, OBTAINING ADVICE FROM EXPERTS IN THE FIELD, AND IMPLEMENTING PROGRAMS TO ADDRESS NEW OPPORTUNITIES. SMALL BUSINESS INNOVATION RESEARCH (SBIR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION, USE SMALL BUSINESS TO MEET FEDERAL RESEARCH AND DEVELOPMENT NEEDS, FOSTER AND ENCOURAGE PARTICIPATION IN INNOVATION AND ENTREPRENEURSHIP BY SOCIALLY AND ECONOMICALLY DISADVANTAGED PERSONS, AND INCREASE PRIVATE-SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL RESEARCH AND DEVELOPMENT FUNDING. SMALL BUSINESS TECHNOLOGY TRANSFER (STTR) PROGRAM: TO STIMULATE TECHNOLOGICAL INNOVATION, FOSTER TECHNOLOGY TRANSFER THROUGH COOPERATIVE R&D BETWEEN SMALL BUSINESSES AND RESEARCH INSTITUTIONS, AND INCREASE PRIVATE SECTOR COMMERCIALIZATION OF INNOVATIONS DERIVED FROM FEDERAL R&D.
Grant Program (CFDA)
Awarding / Funding Agency
Place of Performance
Cincinnati,
Ohio
45229
United States
Geographic Scope
Single Zip Code
Related Opportunity
Analysis Notes
Amendment Since initial award the total obligations have increased 438% from $729,164 to $3,919,631.
Childrens Hospital Medical Center was awarded
Early CF Lung Disease Imaging & Phenotyping
Project Grant R01HL151588
worth $3,919,631
from National Heart Lung and Blood Institute in February 2021 with work to be completed primarily in Cincinnati Ohio United States.
The grant
has a duration of 5 years and
was awarded through assistance program 93.837 Cardiovascular Diseases Research.
The Project Grant was awarded through grant opportunity Research Project Grant (Parent R01 Clinical Trial Not Allowed).
Status
(Ongoing)
Last Modified 8/20/25
Period of Performance
2/3/21
Start Date
1/31/26
End Date
Funding Split
$3.9M
Federal Obligation
$0.0
Non-Federal Obligation
$3.9M
Total Obligated
Activity Timeline
Transaction History
Modifications to R01HL151588
Additional Detail
Award ID FAIN
R01HL151588
SAI Number
R01HL151588-128782355
Award ID URI
SAI UNAVAILABLE
Awardee Classifications
Nonprofit With 501(c)(3) IRS Status (Other Than An Institution Of Higher Education)
Awarding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Funding Office
75NH00 NIH National Heart, Lung, and Blood Institute
Awardee UEI
JZD1HLM2ZU83
Awardee CAGE
01SC8
Performance District
OH-01
Senators
Sherrod Brown
J.D. (James) Vance
J.D. (James) Vance
Budget Funding
Federal Account | Budget Subfunction | Object Class | Total | Percentage |
---|---|---|---|---|
National Heart, Lung, and Blood Institute, National Institutes of Health, Health and Human Services (075-0872) | Health research and training | Grants, subsidies, and contributions (41.0) | $1,573,099 | 100% |
Modified: 8/20/25