Integrative-omics of the Disordered COPD Small Airway Epithelium
Status: | Recruiting |
---|---|
Conditions: | Chronic Obstructive Pulmonary Disease, Smoking Cessation, Smoking Cessation |
Therapuetic Areas: | Pulmonary / Respiratory Diseases |
Healthy: | No |
Age Range: | 18 - 100 |
Updated: | 5/3/2018 |
Start Date: | April 2013 |
End Date: | March 2021 |
Contact: | Grace Mammen, BA, CCRP |
Email: | gwm2004@med.cornell.edu |
Phone: | 646-962-2672 |
We aim to use an integrated network systems approach to analyze certain existing small airway
epithelium (SAE) omic data sets at the genetic, epigenetic (methylation), gene expression,
microRNA and metabolomic levels, to develop an initial model of network connectivities and
key network pressure points relevant to SAE biology in health and disease.
epithelium (SAE) omic data sets at the genetic, epigenetic (methylation), gene expression,
microRNA and metabolomic levels, to develop an initial model of network connectivities and
key network pressure points relevant to SAE biology in health and disease.
Hypothesis: We hypothesize that the disordered differentiation of the SAE that characterizes
COPD results from the complex interaction of cigarette smoke components with a hierarchy of
genetic, epigenetic, gene expression and metabolomics network interactions as the BC
differentiate into a mucociliary epithelium.
Specific aim 1. Using an integrated network systems approach to analyze our extensive
existing SAE omic data sets at the genetic, epigenetic (methylation), gene expression,
microRNA and metabolomics levels, to develop an initial model of network connectivities and
key network pressure points relevant to SAE biology in health and disease.
Specific aim 2. To refine the model, a comprehensive omics data set will be collected at
multiple time points as SAE BC of nonsmokers and COPD smokers differentiate to normal and
disordered mucociliary epithelium (respectively) on air-liquid interface (ALI) culture, an in
vitro model of SAE differentiation. The computational strategies from aim 1 will be used to
improve the model with these data.
Specific aim 3. To test and finalize the integrated network model, a parallel omics data set
will be generated from BC from nonsmokers, and COPD smokers as they differentiate on ALI
under conditions where key hubs will be up- or down-regulated and the differentiation process
stressed under conditions mimicking the in vivo SAE environment. The end result will be an
integrated systems model of SAE biology and how this is disordered in COPD.
COPD results from the complex interaction of cigarette smoke components with a hierarchy of
genetic, epigenetic, gene expression and metabolomics network interactions as the BC
differentiate into a mucociliary epithelium.
Specific aim 1. Using an integrated network systems approach to analyze our extensive
existing SAE omic data sets at the genetic, epigenetic (methylation), gene expression,
microRNA and metabolomics levels, to develop an initial model of network connectivities and
key network pressure points relevant to SAE biology in health and disease.
Specific aim 2. To refine the model, a comprehensive omics data set will be collected at
multiple time points as SAE BC of nonsmokers and COPD smokers differentiate to normal and
disordered mucociliary epithelium (respectively) on air-liquid interface (ALI) culture, an in
vitro model of SAE differentiation. The computational strategies from aim 1 will be used to
improve the model with these data.
Specific aim 3. To test and finalize the integrated network model, a parallel omics data set
will be generated from BC from nonsmokers, and COPD smokers as they differentiate on ALI
under conditions where key hubs will be up- or down-regulated and the differentiation process
stressed under conditions mimicking the in vivo SAE environment. The end result will be an
integrated systems model of SAE biology and how this is disordered in COPD.
Healthy nonsmokers (n=50)
Inclusion criteria
- Must be enrolled into IRB approved protocol #1204012331(all inclusion criteria from
protocol #1204012331 thus applies to this protocol)
- Self-reported never-smokers, with current smoking status validated by the absence of
nicotine metabolites in urine (nicotine less than 2 ng/ml and cotinine less than 5
ng/ml)
- Negative HIV serology
Smokers with COPD (n=50)
Inclusion criteria
- Must be enrolled into IRB approved protocol #1204012331(all inclusion criteria from
protocol #1204012331 thus applies to this protocol)
- Self-reported current daily smokers with greater than or equal to 10 pack-yr,
validated by any of the following: urine nicotine greater than 30 ng/ml or urine
cotinine greater than 50 ng/ml
- Meeting GOLD stages I-III criteria for chronic obstructive lung disease (COPD) based
on postbronchodilator spirometry
- Taking any or no pulmonary-related medication, including beta-agonists,
anticholinergics, or inhaled corticosteroids
- Negative HIV serology
Healthy nonsmokers (n=50)
Exclusion criteria
- Unable to meet the inclusion criteria (all exclusion criteria from protocol
#1204012331 applies to this protocol)
- Evidence of malignancy within the past 5 years
Smokers with COPD (n=50)
Exclusion criteria
- Unable to meet the inclusion criteria (all exclusion criteria from protocol
#1204012331 applies to this protocol)
- Individuals in whom participation in the study would compromise the normal care and
expected progression of their disease
- Evidence of malignancy within the past 5 years
We found this trial at
1
site
New York, New York 10021
Principal Investigator: Ronald G Crystal, MD
Phone: 646-962-2672
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