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Completed

NCT Number: NCT02671773

Characterising the Microbiota in Asthma

Previous work has determined that there are significant differences in the communities of bacteria found in the airways of asthmatic patients compared to those found in the airways of healthy people.

It is not yet clear if these bacterial communities are similar in all patients with asthma or if they are different in people with more severe asthma, with different types of asthma or between asthma patients taking different treatment. This is important to know as any differences in the bacteria present between groups may help to explain why people with asthma do not have the same features of disease.

This research aims to determine if there are any differences in the number and type of bacteria found in the airways of asthmatic patients (1) with different severities of asthma and (2) who use different types of inhaled steroid treatment for asthma.

We will do this by detecting the DNA of bacteria present in phlegm samples from these patients. We will also take measurements of the different components of asthma to see if the bacteria are different in people with different types of disease.

As it is not yet clear if the bacteria detected in phlegm samples from one person may differ on different occasions, we will be taking more than one sample from some patients to see how similar this is over time.

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Key information

Age range

18 year–80 year

Sex eligibility

All sexes

Study type

Observational

Primary location

Respiratory Research Unit

Nottingham, Nottinghamshire, NG5 1PB, United Kingdom

About this study

The main aim of this project is to determine if microbiota composition is correlated with disease severity (as determined by BTS step). Although initial studies suggest that asthmatics of different severities may have similar microbiota composition, there is no direct evidence to support this assertion. Also, the three main studies in this area so far have all used different sequencing methods, making comparisons difficult.

The relationship between the microbiota composition of different subjects and clinical measures including bronchial hyperreactivity (as measured by methacholine challenge) and pattern of airway inflammation (as measured by sputum differential cell count and exhaled nitric oxide levels) will be investigated further. Comparisons will also be made between samples from asthmatic patients using the inhaled steroid fluticasone and those using budesonide, as there is evidence suggesting that fluticasone leads to an increased risk of pneumonia and non tuberculous mycobacterial disease in certain patient groups. Unpublished data (Astra Zeneca) suggests the excess risk of pneumonia with fluticasone compared to budesonide may be more pronounced after at least 12 months of treatment with inhaled corticosteroid. Microbiota composition of the sputum samples will be evaluated in conjunction with standard microbiological culture of these samples to allow a comparison between these two methods.

In order to assess the reproducibility of the induced sputum method for assessing the lung microbiota, a repeat sputum sample will be taken from a subgroup of 20 patients within 24 hours of the collection of the first sample and compared. A further sample will be taken from this subgroup of patients 2 weeks later to assess the longitudinal stability of the bacterial population.

Who can participate

Healthy volunteers accepted: Yes

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

Inclusion criteria

  • Age 18 or above
  • Male or female
  • Diagnosis of asthma
  • Non-smokers for 10 years and <10 pack year equivalents in total
  • BTS Step 2 patients must have been using inhaled steroids at a dose of BDP ≤ 400 mcg/day FP ≤ 200 mcg/day or BUD ≤ 400 mcg/day for at least 1 year
  • BTS Step 4 patients must have been using inhaled steroids at a dose of FP ≥ 500 mcg/day or BUD ≥800 mcg/day for at least 1 year as a separate steroid or inhaled steroid/long acting beta agonist combination.

Exclusion criteria

  • Respiratory infection or antibiotics within last month
  • Pregnancy or intent to become pregnant during course of study
  • Other respiratory diagnosis
  • Post bronchodilator FEV1 of < 60%

Treatment and study plan

Inhaled corticosteroid dose/type

Drug

Primary outcomes

  1. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) vs subject BTS treatment step

    Time frame: 1 day

  2. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) vs subject BTS treatment step

    Time frame: 1 day

Secondary outcomes

  1. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) vs FEV1

    Time frame: 1 day

  2. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) vs FEV1

    Time frame: 1 day

  3. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) vs sputum differential cell count (%eosinophils/%neutrophils)

    Time frame: 1 day

  4. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) vs sputum differential cell count (%eosinophils/%neutrophils)

    Time frame: 1 day

  5. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) vs exhaled nitric oxide level (ppb)

    Time frame: 1 day

  6. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) vs exhaled nitric oxide level (ppb)

    Time frame: 1 day

  7. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) v PC20 (mg/ml)

    Time frame: 1 day

  8. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) v PC20 (mg/ml)

    Time frame: 1 day

  9. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) v Leicester Cough Questionnaire (LCQ) score

    Time frame: 1 day

  10. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) v Leicester Cough Questionnaire (LCQ) score

    Time frame: 1 day

  11. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) v Asthma Control Questionnaire Score

    Time frame: 1 day

  12. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) v Asthma Control Questionnaire Score

    Time frame: 1 day

  13. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) in patients on inhaled fluticasone v same measure in patients on inhaled budesonide

    Time frame: 1 day

  14. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) in patients on inhaled fluticasone v same measure in patients on inhaled budesonide

    Time frame: 1 day

  15. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) v conventional diagnostic microbiological culture (frequency of microbiological cultures reported as positive (%))

    Time frame: 1 day

  16. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) v conventional diagnostic microbiological culture (frequency of microbiological cultures reported as positive (%))

    Time frame: 1 day

  17. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) stability over 24 hour period

    Time frame: 2 days

  18. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) stability over 24 hour period

    Time frame: 2 days

  19. Subject sputum microbiota bacterial diversity (richness) (as quantified by mean number of genera) over 2 week period

    Time frame: 2 weeks

  20. Subject sputum microbiota bacterial diversity (as quantified by Simpson's diversity index) over 2 week period

    Time frame: 2 weeks

  21. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) vs subject BTS treatment step

    Time frame: 1 day

  22. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) vs subject BTS treatment step vs FEV1

    Time frame: 1 day

  23. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) vs sputum differential cell count (%eosinophils/%neutrophils)

    Time frame: 1 day

  24. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) vs exhaled nitric oxide level (ppb)

    Time frame: 1 day

  25. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) vs PC20 (mg/ml)

    Time frame: 1 day

  26. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) vs Leicester Cough Questionnaire (LCQ) score

    Time frame: 1 day

  27. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) vs Asthma Control Questionnaire Score

    Time frame: 1 day

  28. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) in patients on inhaled fluticasone v same measure in patients on inhaled budesonide

    Time frame: 1 day

  29. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) stability over 24 hour period

    Time frame: 2 days

  30. Subject sputum bacterial load as per qPCR quantitation (log10 copy numbers/g or similar) v conventional diagnostic microbiological culture (frequency of microbiological cultures reported as positive (%))

    Time frame: 1 day

Sponsors and collaborators

Lead sponsor

University of Nottingham

Other

Collaborators

  • King's College London

Registry information

Acronym: MIA

Important dates

Study start
2014
Primary completion
2015
Study completion
2015
First posted
Feb 2, 2016
Registry last updated
Feb 2, 2016

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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