Relationship Between Metabolic Profile and Clinical Phenotype in Chronic Obstructive Pulmonary Disease

NCT ID: NCT03310177

Last Updated: 2017-10-17

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

167 participants

Study Classification

OBSERVATIONAL

Study Start Date

2015-12-10

Study Completion Date

2017-07-20

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

Despite the high prevalence of chronic obstructive pulmonary disease (COPD), there continues to be a large gap in our understanding of disease pathogenesis and mechanisms accounting for large variability in disease phenotype. Untargeted metabolomics is an ideal approach to uncover the metabolic basis of disease, as well as discover unique drug target opportunities aimed at these nodal metabolic drivers of disease. There are very limited data from metabolomics studies from plasma/serum and exhaled breath condensate that suggest certain metabolic pathways or metabolites might predict the presence and/or severity of COPD phenotypes.

Here, the investigators hope to generate comprehensive, compartment specific (blood and lung) metabolite profiles that will be correlated with various clinical phenotypes of COPD, using a complementary approach of untargeted nuclear magnetic resonance (NMR) and liquid chromatography (LC)- mass spectroscopy (MS) -based metabolomics.

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Despite the high prevalence of chronic obstructive pulmonary disease (COPD), there continues to be a large gap in our understanding of disease pathogenesis and mechanisms accounting for large variability in disease phenotype. Untargeted metabolomics is an ideal approach to uncover the metabolic basis of disease, as well as discover unique drug target opportunities aimed at these nodal metabolic drivers of disease. There are very limited data from metabolomics studies from plasma/serum and exhaled breath condensate that suggest certain metabolic pathways or metabolites might predict the presence and/or severity of COPD phenotypes.

The investigators hypothesize that: 1) smokers with COPD will have a metabolomics signature that is distinct from healthy non-COPD smokers; 2) this signature will be associated with clinically relevant manifestations of disease (e.g., GOLD classification, PFT).

The availability of biosamples from a well-characterized population of smokers with and without COPD, combined with our established in-house metabolomics expertise, will robustly allow to test these novel hypotheses. The investigators hope to generate comprehensive, compartment specific (blood and lung) metabolite profiles that will be correlated with various clinical phenotypes of COPD, using a complementary approach of untargeted nuclear magnetic resonance (NMR) and liquid chromatography (LC)- mass spectroscopy (MS) -based metabolomics. Moreover, this strategy may identify previously unrecognized metabolic pathways that are dysregulated in COPD. Collectively, these data will be used to direct a prospective clinical study to determine the association between metabolomics signatures and clinical outcomes.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Chronic Obstructive Pulmonary Disease

Keywords

Explore important study keywords that can help with search, categorization, and topic discovery.

Chronic Obstructive Pulmonary Disease Metabolomics

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

CASE_CONTROL

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

COPD

The smokers who are diagnosed as chronic obstructive pulmonary disease according to GOLD guideline.

No interventions assigned to this group

healthy control

The healthy controls without chronic obstructive pulmonary disease

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

1. males aged 40-80;
2. diagnosed with COPD according to the GOLD guidelines;
3. clinically stable patients without medication changes or exacerbation in two months;
4. smoking history of more than 10 pack years

Exclusion Criteria

1. diagnosed with unstable cardiovascular diseases, significant renal or hepatic dysfunction or mental incompetence;
2. diagnosed with asthma, active pulmonary tuberculosis, diffuse panbronchiolitis, cystic fibrosis, clinically significant bronchiectasis, exacerbation of COPD or pneumonia in two months;
3. prescribed immunosuppressive medications.
Minimum Eligible Age

40 Years

Maximum Eligible Age

80 Years

Eligible Sex

MALE

Accepts Healthy Volunteers

No

Sponsors

Meet the organizations funding or collaborating on the study and learn about their roles.

Peking University Third Hospital

OTHER

Sponsor Role lead

Responsible Party

Identify the individual or organization who holds primary responsibility for the study information submitted to regulators.

Bei He

Professor and Chief in Department of Respiratory Medicine

Responsibility Role PRINCIPAL_INVESTIGATOR

Locations

Explore where the study is taking place and check the recruitment status at each participating site.

Peking University Third Hospital

Beijing, Beijing Municipality, China

Site Status

Countries

Review the countries where the study has at least one active or historical site.

China

References

Explore related publications, articles, or registry entries linked to this study.

Diao W, Labaki WW, Han MK, Yeomans L, Sun Y, Smiley Z, Kim JH, McHugh C, Xiang P, Shen N, Sun X, Guo C, Lu M, Standiford TJ, He B, Stringer KA. Disruption of histidine and energy homeostasis in chronic obstructive pulmonary disease. Int J Chron Obstruct Pulmon Dis. 2019 Sep 3;14:2015-2025. doi: 10.2147/COPD.S210598. eCollection 2019.

Reference Type DERIVED
PMID: 31564849 (View on PubMed)

Other Identifiers

Review additional registry numbers or institutional identifiers associated with this trial.

Metabolomcs-HB

Identifier Type: -

Identifier Source: org_study_id