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Completed

NCT Number: NCT02183818

Integrative-omics of the Disordered COPD Small Airway Epithelium

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.

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Key information

Age range

18 year–100 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Weill Cornell Medical College

New York, 10065, United States

About this study

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.

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

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

Treatment and study plan

Primary outcomes

  1. Identification of network pressure points relevant to SAE biology confirmed by analyze of SAE data sets.

    Time frame: One Year

    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.

Sponsors and collaborators

Lead sponsor

Weill Medical College of Cornell University

Other

Collaborators

  • Boehringer Ingelheim
  • National Heart, Lung, and Blood Institute (NHLBI)

Registry information

Important dates

Study start
2015
Primary completion
2016
Study completion
2020
First posted
Jul 8, 2014
Registry last updated
May 28, 2021

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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