Fibre Specific Signalling in the Locomotor Myopathy of Chronic Obstructive Pulmonary Disease
Fibre Specific Signalling in the Locomotor Myopathy of COPD
Skeletal muscle is composed of two fibre types which are intertwined. Skeletal muscle weakness, particularly of the walking muscles, is an important complication of Chronic Obstructive Pulmonary Disease (COPD) but so far the investigators do not know what mechanisms drive the process.
All existing studies have investigated signalling pathways in the whole muscle so they have been forced to consider type I and type II fibres together. It is possible that disease selectively affects one fibre type, most likely type I fibres which are in fact lost in COPD patients. For this reason mechanisms of disease may have been overlooked by current studies.
The applicants have acquired the technology which allows type I and type II fibres in a muscle specimen to be split (by laser capture microdissection) and so signalling pathways can be assessed separately in type II and type I fibres which is what this proposal sets out to do.
The proposal therefore aims to capture well characterised clinical data from 60 COPD patients and 20 age matched controls, from whom a biopsy of the main walking muscle, the quadriceps, will be taken. In the samples the investigators will assess at a fibre specific level inflammatory signalling. Surplus material will be retained for subsequent fibre specific analysis.
Study Overview
Status
Status
Conditions
Conditions
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Locations
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UK
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London, UK, United Kingdom, SE8 4DY
- Recruiting
- Royal Brompton Hospital
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Contact:
- Michael I Polkey, PhD FRCP
- Phone Number: +44 20 7351 8058
- Email: m.polkey@rbht.nhs.uk
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Principal Investigator:
- Michael I Polkey, PhD FRCP
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Male or female aged 40 - 90 years inclusive.
- A clinical diagnosis of COPD based on spirometry (FEV1/FVC ratio < 70% on entry to the study with FEV1 < 80% predicted)
Exclusion Criteria:
- History or current diagnosis of alpha 1-anti-trypsin deficiency, asthma, lung cancer, bronchiectasis or other significant respiratory disease (including treated TB in the past 10 years)
- Contraindication to biopsy for research purpose (e.g. use of anticoagulant in the 1 week prior to biopsy)
- Joint or neurological disease which on its own would preclude exercise
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
|---|
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Patients with COPD
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Time Frame |
|---|---|
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inflammatory signalling at a fibre specific level
Time Frame: 2 years
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2 years
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Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Michael I Polkey, PhD FRCP, RBHFT
Publications and helpful links
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- ERICA WP1b
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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