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临床试验/NCT04706988
NCT04706988招募中不适用

Relationship of Airway Microbiota, Endotype and Phenotype in Adult Asthma

Chinese University of Hong Kong1 个研究点 分布在 1 个国家目标入组 140 人开始时间: 2021年6月22日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
入组人数
140
试验地点
1
主要终点
Microbiome pattern

研究概览

简要总结

Increasing evidence supports that the respiratory microbiota, including viral and bacterial microorganisms, play important roles in respiratory health and disease. Microbial patterns in airways may induce distinctive endotypes of asthma. Previous studies suggest host-microbiota interactions in children may account for the heterogeneity of endotypes and clinical presentations. However, information on such relationship is limited in adults. Furthermore, how the upper airway microbiome is related to asthma endotype and phenotype is not well understood. Knowledge of microbiota in the airway allows exploration of therapeutic manipulation of the microbiome and targeting the development of asthma prevention strategies and the optimization of asthma treatment.

详细描述

This study plans to assess microbes in nasopharyngeal flock swab of asthma subjects. The swabs will be subjected to sequence analysis of 16S rRNA. Endotypes (e.g. TH1 vs TH2 inflammation) and phenotypes of the subjects (e.g. severity, exacerbation, lung function, etc.) will be assessed. The planned sample size is 140 adult asthma subjects. Patients will have nasopharyngeal swabs taken at baseline, 3 months (after optimization of asthma treatment at baseline) and at 1 year. They will undergo assessments, including clinical course, lung function, exhaled nitric oxide, skin test, and blood test (including eosinophils and immunoglobulin E levels). All subjects will be followed up for 2 years to assess subsequent exacerbations and levels of asthma control. The 16S data retrieved from the official website of HMP (http://www.hmpdacc.org/) will be used as the geographic reference for this study. Sequences assigned to different taxonomic levels, from phylum to genus using the RDP (ribosomal database project) database, will be clustered into operating taxonomic units (OTUs). Bioinformatic tools will be used to assess the relations of microbiota, asthma endotypes and phenotypes and change of microbiota pattern upon optimization of asthma drug treatment.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Prospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Subjects aged between 18 and 80 years and have a diagnosis of asthma according to the Global Initiative for Asthma (GINA) document in
  • Asthma is defined as those with a consistent history and prior documented evidence of variable airflow obstruction, with evidence of an increase in FEV1 greater than 12% or 200 mL following bronchodilator or bronchial hyperresponsiveness on bronchial provocation testing, when stable.

排除标准

  • Patients with respiratory diseases with other known respiratory diseases including chronic obstructive pulmonary disease, bronchiectasis, tuberculosis (TB)-destroyed lung parenchyma, history of lung resection and lung cancer
  • Individuals older than 40 years with a smoking history of more than 10 pack-years or significant biomass exposure
  • Patients currently randomized in other clinical studies
  • Pregnant women
  • Current smokers (who have not quit smoking in the past 1 year)
  • Systemic and intranasal antibiotics treatment within 4 weeks
  • Signs and symptoms of respiratory tract infections (upper or lower) within 4 weeks

结局指标

主要结局

Microbiome pattern

时间窗: 12 months

The 16S data retrieved from the official website of HMP (http://www.hmpdacc.org/) will be used as the geographic reference for this study. Sequences assigned to different taxonomic levels, from phylum to genus using the RDP database, will be clustered into operating taxonomic units (OTUs) based on their best BLAST hit to reference type strain 16S DNAs at 98% sequence identity cutoff.

次要结局

  • endotype (eosinophilic vs neutrophilic asthma)(12 months)
  • Lung function(12 months)
  • disease severity(12 months)
  • Asthma control(12 months)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Fanny W.S. Ko

Honorary Associate Professor

Chinese University of Hong Kong

研究点 (1)

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