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临床试验/NCT05192499
NCT05192499招募中不适用

Respiratory Dysbiosis in Preschool Children With Asthma: Predictive of a Severe Form

University Hospital, Brest2 个研究点 分布在 1 个国家目标入组 30 人开始时间: 2022年2月4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
30
试验地点
2
主要终点
Index of microbial similarity of samples

研究概览

简要总结

The prevalence of asthma in preschool children is between 11 and12%. Inhaled corticosteroid therapy is the main therapy used, however this treatment seems insufficiently effective in some children.

Recent research in cystic fibrosis has made it possible to highlight pulmotypes corresponding to the different stages of pulmonary dysbiosis, and a predictive microbiological signature of an increased risk of early primocolonization to P. aeruginosa. These pulmotypes are the result of the so-called "enterotyping" analysis, a biostatistical method that makes it possible to stratify individuals according to the analysis of the microbiota. In the light of these data, it seems interesting to transcribe the concept of using a biomarker of the microbiota in the monitoring of a chronic lung disease such as asthma.

The hypothesis is that there is respiratory dysbiosis causing corticosteroid resistance to treatment in children under 3 years of age with severe asthma.

详细描述

The prevalence of asthma in preschool children is estimated to between 11 and 12%.

Inhaled corticosteroid therapy is the main therapy used, however this treatment seems insufficiently effective in some children.

Recent research in cystic fibrosis has made it possible to highlight pulmotypes corresponding to the different stages of pulmonary dysbiosis, and a predictive microbiological signature of an increased risk of early primocolonization to P. aeruginosa. These pulmotypes are the result of the so-called "enterotypeing" analysis, a biostatistical method that makes it possible to stratify individuals according to the analysis of the microbiota. In the light of these data, it seems interesting to transcribe the concept of using a biomarker of the microbiota in the monitoring of a chronic lung disease such as asthma.

The hypothesis is that there is respiratory dysbiosis causing corticosteroid resistance to treatment in children under 3 years of age with severe asthma.

The goal of this study is to research a difference between respiratory dysbiosis and severe asthma (i.e. resistant to doses of inhaled corticosteroids less than or equal to 200μg of fluticasone equivalent).

研究设计

研究类型
Interventional
分配方式
Non Randomized
干预模型
Parallel
主要目的
Prevention
盲法
None

盲法说明

DREAM is a case-controlled study in open label

入排标准

年龄范围
1 Year 至 3 Years(Child)
性别
All
接受健康志愿者

入选标准

  • Age greater than 1 year and less than 3 years
  • Diagnosis of asthma by a pediatrician
  • Parental consent
  • Affiliation to the social security system

排除标准

  • Chronic pathologies: congenital heart disease, immune deficiency, cystic fibrosis, bronchopulmonary dysplasia, encephalopathy, primary ciliary dyskinesia, laryngomalacia, digestive pathology requiring digestive surgery
  • Premature < 34 SA
  • Recent antibiotic therapy (< 7 days)
  • Treatment with oral corticosteroid therapy within the previous 10 days.
  • Patient whose parent(s) is (are) minor(s)

结局指标

主要结局

Index of microbial similarity of samples

时间窗: Day 0

The main evaluation is the comparison of respiratory biodiversity assessed using quantitative indices such beta diversity. Beta diversity analysis allows samples to be compared with each other. It calculates a matrix of distances between samples with the Bray Curtis/ Unifrac methods, weighted or not/ Jaccard by presence/absence. Next, the Principal Coordinate Analysis (PCoA ) will be used, multidimensional scaling to reduce this matrix to 2/3 dimensions. The samples from similar groups look alike with this analysis will be used.

Number of species in the microbial Community

时间窗: Day 0

The main evaluation is the comparison of respiratory biodiversity assessed using quantitative indices such as alpha diversity. Alpha diversity calculates the richness (number of species or OTU) by samples and how these OTUs are distributed (equitability). Richness will be measured with the Chao1 and equity with the Simpson index. The Shannon index is a composite measurethat allows us to have both information together, richness and equity in the same index.

次要结局

  • Indices of diversity(Day 0)
  • Enterotyping analysis(Day 0)
  • Relative abundance(Day 0)

研究者

申办方类型
Other
责任方
Sponsor

研究点 (2)

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