Effects of Interleukin (IL)- 4R-alpha Inhibition on Respiratory Microbiome and Immunologic Correlates in Severe Asthma
Effects of IL-4R-alpha Inhibition (Dupixent) Inhibition On The Respiratory Microbiome And Immunologic Correlates In Patients With Severe Asthma
1 other identifier
interventional
15
1 country
1
Brief Summary
The overall goal of this study is to understand biological responses related to dupilumab treatment among severe asthma patients. Not all asthma is the same, and characteristics of asthma vary from person to person. The study will investigate whether the study drug can help to improve the health of participants lungs, boost immune response, as well as improve quality of life.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at below P25 for phase_4 asthma
Started Feb 2022
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 30, 2021
CompletedFirst Posted
Study publicly available on registry
September 8, 2021
CompletedStudy Start
First participant enrolled
February 22, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 29, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
June 29, 2023
CompletedResults Posted
Study results publicly available
October 23, 2024
CompletedOctober 23, 2024
October 1, 2024
1.3 years
August 30, 2021
June 27, 2024
October 2, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (18)
Changes in Alpha-diversity of Respiratory Microbiota
α-diversity was calculated using the Shannon Diversity Index at the species level from induced sputum samples obtained at Baseline and after 1 month on dupilumab. The change in diversity was calculated by aggregating all participants' calculated diversity and then finding the difference between time points. A higher Shannon Diversity Index value indicates higher diversity. A value of zero indicates the presence of only one kind of species of bacteria.
Baseline (before dupilumab), 1 month
Changes in Alpha-diversity of Respiratory Microbiota
α-diversity was calculated using the Shannon Diversity Index at the species level from induced sputum samples obtained at baseline and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' calculated diversity and then finding the difference between time points. A higher Shannon Diversity Index value indicates higher diversity. A value of zero indicates the presence of only one kind of species of bacteria.
Baseline (before dupilumab), 4 month
Changes in Alpha-diversity of Respiratory Microbiota
α-diversity was calculated using the Shannon Diversity Index at the species level from induced sputum samples obtained after 1 month and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' calculated diversity and then finding the difference between time points. A higher Shannon Diversity Index value indicates higher diversity. A value of zero indicates the presence of only one kind of species of bacteria.
1 month, 4 months
Change in Beta-diversity of Respiratory Microbiota
Beta-diversity was calculated using the Bray-Curtis Distance at the species level from induced sputum samples obtained at baseline and after 1 month on dupilumab. The change in diversity was calculated by aggregating all participants' distance between time points. Bray-Curtis dissimilarity ranges from 0 to 1. A higher Bray-Curtis Distance, which is unitless, indicates a greater difference in diversity between the time points.
Baseline (before dupilumab), 1 month
Change in Beta-diversity of Respiratory Microbiota
Beta-diversity was calculated using the Bray-Curtis Distance at the species level from induced sputum samples obtained at baseline and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' distance between time points. Bray-Curtis dissimilarity ranges from 0 to 1. A higher Bray-Curtis Distance indicates a greater difference in diversity between time points.
Baseline (before dupilumab), 4 month
Change in Beta-diversity of Respiratory Microbiota
Beta-diversity was calculated using the Bray-Curtis Distance at the species level from induced sputum samples obtained after 1 month and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' distance between time points. Bray-Curtis dissimilarity ranges from 0 to 1. A higher Bray-Curtis Distance indicates a greater difference in diversity between time points.
1 month, 4 months
Change in Relative Abundances of Microbiota Members
Relative abundance was calculated by finding the proportion of a classified species out of all bacterial classifications in an induced sputum sample. Relative abundance was calculated at baseline and after 1 month on dupilumab. The change in relative abundance of each species across all available samples was calculated by taking the difference between time points.
Baseline (before dupilumab), 1 month
Change in Relative Abundances of Microbiota Members
Relative abundance was calculated by finding the proportion of a classified species out of all bacterial classifications in an induced sputum sample. Relative abundance was calculated at baseline and after 4 months on dupilumab. The change in relative abundance of each species across all available samples was calculated by taking the difference between time points.
Baseline (before dupilumab), 4 month
Change in Relative Abundances of Microbiota Members
Relative abundance was calculated by finding the proportion of a classified species out of all bacterial classifications in an induced sputum sample. Relative abundance was calculated after 1 month and after 4 months on dupilumab. The change in relative abundance of each species across all available samples was calculated by taking the difference between time points.
1 month, 4 months
Change in Respiratory Bacterial Burden
Bacterial burden was estimated by scaling species relative abundances to a known cell count of Imtechella halotolerans (Zymo) that was spiked into an induced sputum sample before extraction for sequencing. Bacterial burden was calculated at baseline and after 1 month on dupilumab. The change in bacterial burden was calculated by aggregating all burden values per participant and taking the difference between time points.
Baseline (before dupilumab), 1 month
Change in Respiratory Bacterial Burden
Bacterial burden was estimated by scaling all species relative abundances to a known cell count of Imtechella halotolerans that was spiked into sputum samples before extraction for sequencing. Bacterial burden was calculated at baseline and after 4 months on dupilumab. The change in bacterial burden was calculated by aggregating all burden values per participant and taking the difference between time points.
Baseline (before dupilumab), 4 month
Change in Respiratory Bacterial Burden
Bacterial Burden was estimated by scaling the species relative abundance to a known cell count of I. Halotolerans that was spiked into an induced sputum sample before extraction for sequencing. Bacterial burden was calculated at after 1 month and after 4 months on dupilumab. The change in bacterial burden was calculated by aggregating all burden values per participant and taking the difference between time points.
1 month, 4 months
Changes in Alpha-diversity of Stool Microbiota
α-diversity was calculated using the Shannon diversity index at the species level from stool samples obtained at baseline and after 1 month on dupilumab. The change in diversity was calculated by aggregating all participants' calculated diversity and then finding the difference between time points. A higher Shannon Diversity Index value indicates higher diversity. A value of zero indicates the presence of only one kind of species of bacteria.
Baseline (before dupilumab), 1 month
Changes in Alpha-diversity of Stool Microbiota
α-diversity was calculated using the Shannon diversity Index at the species level from stool samples obtained at baseline and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' calculated diversity and then finding the difference between time points. A higher Shannon Diversity Index value indicates higher diversity. A value of zero indicates the presence of only one kind of species of bacteria.
Baseline (before dupilumab), 4 month
Changes in Alpha-diversity of Stool Microbiota
α-diversity was calculated using the Shannon Diversity Index at the species level from stool samples. Shannon's Diversity Index values were obtained after 1 month and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' calculated diversity and then finding the difference between time points. A higher Shannon Diversity Index value indicates higher diversity. A value of zero indicates the presence of only one kind of species of bacteria.
1 month, 4 months
Change in Beta-diversity of Stool Microbiota
Beta-diversity was calculated using the Bray-Curtis Distance at the species level from stool samples. Samples were obtained baseline and after 1 month on dupilumab and the Bray-Curtis Distance calculated. The change in diversity was calculated by aggregating all participants' distance between time points. Bray-Curtis dissimilarity ranges from 0 to 1. A higher Bray-Curtis Distance indicates a greater difference in diversity between time points..
Baseline (before dupilumab), 1 month
Change in Beta-diversity of Stool Microbiota
Beta-diversity was calculated using the Bray-Curtis Distance at the species level from stool samples obtained at baseline and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' distance between time points. Bray-Curtis dissimilarity ranges from 0 to 1. A higher Bray-Curtis Distance indicates a greater difference in diversity between time points.
Baseline (before dupilumab), 4 month
Change in Beta-diversity of Stool Microbiota
Beta-diversity was calculated using the Bray-Curtis Distance at the species level from stool samples obtained after 1 month and after 4 months on dupilumab. The change in diversity was calculated by aggregating all participants' distance between time points. Bray-Curtis dissimilarity ranges from 0 to 1. A higher Bray-Curtis Distance indicates a greater difference in diversity between time points.
1 month, 4 months
Secondary Outcomes (8)
Forced Expiratory Volume ( FEV1) / Forced Vital Capacity (FVC) Ratio
Baseline, 1 month, 4 months
Forced Expiratory Volume (FEV1)
Baseline, 1 month, 4 months
Change in Fractional Exhaled Nitric Oxide (FeNO)
Baseline, 1 month, 4 months
Asthma Control Test (ACT)
Baseline, 1 month, 4 months
Mini Asthma Quality of Life Questionnaire Score (mAQLQ)
Baseline, 1 month, 4 months
- +3 more secondary outcomes
Study Arms (1)
Dupilumab
EXPERIMENTALInterventions
Participants will receive 8 doses of Dupilumab. The initial loading dose (visit 1) of 600 milligrams (two 300 milligram injections) will be given subcutaneously (SQ). Then the participants will receive 300 milligrams SQ every other week (q 2 weeks) either at a study visit or self-administered at home between visits. Additionally, participants will complete questionnaires, have specimens collected, as well as perform breathing procedures at various timepoints.
Eligibility Criteria
You may qualify if:
- Physician-diagnosed/managed severe asthma patients that are clinically eligible for dupilumab
- Current treatment with a medium-to-high-dose inhaled glucocorticoid (fluticasone propionate at a total daily dose of greater or equal (≥) 440 μg or equipotent equivalent) plus up to at least one additional controller (e.g., a long-acting β2-agonist or leukotriene receptor antagonist)
- Eosinophilic asthma phenotype (blood eosinophil level \>300) or asthma requiring daily oral corticosteroids
- Asthma that is uncontrolled, as defined by a score on the Asthma Control Test of 19 or lower, or a worsening of asthma in the past year that led to an asthma hospitalization, Emergency Department visit, or 3 days of oral corticosteroids
- Severity of asthma that, in the opinion of the subject's asthma care specialist, requires dupilumab for control
- For women of childbearing age: agree to use birth control or remain abstinent during the duration of the study.
You may not qualify if:
- Patients with diagnosis of other chronic lung diseases (e.g. Chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis, Churg-Strauss syndrome, Allergic bronchopulmonary aspergillosis, etc.)
- Current smoker or reported smoking within 1 month of the screening visit (tobacco or any inhaled recreational product)
- Greater than 10 total pack-year of cigarette smoking history
- Treatment with oral corticosteroids for an asthma exacerbation 1 month prior to screening or during the screening period
- Use of any biologic therapy for asthma within the past 3 months
- Respiratory or Gastrointestinal illness within 1 month prior to screening or during the screening period
- Treatment with antibiotics for acute infections within six weeks prior to screening or during the screening period.
- Pregnancy at enrollment or during the study
- Known hypersensitivity to dupilumab or its excipients
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- University of Michiganlead
- Regeneron Pharmaceuticalscollaborator
Study Sites (1)
University of Michigan
Ann Arbor, Michigan, 48109, United States
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Yvonne J Huang MD
- Organization
- University of Michigan
Study Officials
- PRINCIPAL INVESTIGATOR
Yvonne Huang, MD
University of Michigan
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- Yes
Study Design
- Study Type
- interventional
- Phase
- phase 4
- Allocation
- NA
- Masking
- NONE
- Purpose
- BASIC SCIENCE
- Intervention Model
- SINGLE GROUP
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor of Internal Medicine and Microbiology/Immunology
Study Record Dates
First Submitted
August 30, 2021
First Posted
September 8, 2021
Study Start
February 22, 2022
Primary Completion
June 29, 2023
Study Completion
June 29, 2023
Last Updated
October 23, 2024
Results First Posted
October 23, 2024
Record last verified: 2024-10
Data Sharing
- IPD Sharing
- Will not share