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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

Status
Completed
Phases
Phase 4
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05036733
Enrollment
15
Registered
2021-09-08
Start date
2022-02-22
Completion date
2023-06-29
Last updated
2024-10-23

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Asthma

Keywords

Inhaled corticosteroids, Dupilumab

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.

Interventions

DRUGDupilumab

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.

Sponsors

Regeneron Pharmaceuticals
CollaboratorINDUSTRY
University of Michigan
Lead SponsorOTHER

Study design

Allocation
NA
Intervention model
SINGLE_GROUP
Primary purpose
BASIC_SCIENCE
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
18 Years to No maximum
Healthy volunteers
No

Inclusion criteria

* 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.

Exclusion criteria

* 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

Design outcomes

Primary

MeasureTime frameDescription
Changes in Alpha-diversity of Respiratory MicrobiotaBaseline (before dupilumab), 1 monthα-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.
Change in Beta-diversity of Respiratory MicrobiotaBaseline (before dupilumab), 1 monthBeta-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.
Change in Relative Abundances of Microbiota MembersBaseline (before dupilumab), 1 monthRelative 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.
Change in Respiratory Bacterial BurdenBaseline (before dupilumab), 1 monthBacterial 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.
Changes in Alpha-diversity of Stool MicrobiotaBaseline (before dupilumab), 1 monthα-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.
Change in Beta-diversity of Stool MicrobiotaBaseline (before dupilumab), 1 monthBeta-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..

Secondary

MeasureTime frameDescription
Change in Prescribed Maintenance Corticosteroid Use (Inhaled or Oral), Between Baseline and 4 Months.Baseline, 4 monthsCount of participants whose maintenance corticosteroid prescription changed between baseline and 4 months.
Forced Expiratory Volume ( FEV1) / Forced Vital Capacity (FVC) RatioBaseline, 1 month, 4 monthsRatio of the volume of air exhaled in 1 sec (FEV1) divided by the total volume exhaled (FVC). FEV1/FVC \< 0.70 (or less than lower limit of age-predicted normal) is clinically diagnostic of obstructive lung disease.
Number of Asthma Exacerbations Requiring at Least 3 Days of Oral Corticosteroidsup to 4 monthsNumber of asthma exacerbations requiring at least 3 days of oral corticosteroids across the entire study population over the course of the study.
Forced Expiratory Volume (FEV1)Baseline, 1 month, 4 monthsFEV1 measure reported as a percentage of predicted FEV1.
Change in Fractional Exhaled Nitric Oxide (FeNO)Baseline, 1 month, 4 monthsFractional exhaled nitric oxide is a clinical biomarker for type 2 airway inflammation. FeNO \>25 is considered indicative of type 2 airway inflammation.
Asthma Control Test (ACT)Baseline, 1 month, 4 monthsThe Asthma Control Test is a clinically validated questionnaire that assesses level of asthma control based on a 4-week recall of symptoms and daily functioning captured in 5 items. Each item is scored on a 5-point scale, and the total score is the sum of the values for all 5 items (range 5-25). A score of 5 represents worst-controlled asthma and 25 represents best-controlled asthma. An ACT score \>19 indicates well-controlled asthma; the minimal clinically important difference in score is 3.
Mini Asthma Quality of Life Questionnaire Score (mAQLQ)Baseline, 1 month, 4 monthsThe mini-Asthma Quality of Life Questionnaire (mAQLQ) consists of 15 questions covering 4 domains: symptoms (5 questions), activity limitations (4 questions), emotional function (3 questions), and environmental stimuli (3 questions). The recall time for the mAQLQ is 2 weeks and each item is scored on a 7-point scale. Total scores per participant are the average of the 15 items and range from 1-7, with higher scores indicative of better quality of life. The minimum clinically important difference is 0.5.
Sino-nasal Outcome Test (SNOT-22)Baseline, 1 month, 4 monthsThis is a 22 item questionnaire. Each item is rated as follows: 0=no problem, 1=very mild problem, 2=mild or slight problem, 3=moderate problem, 4=severe problem, 5=problem as bad as it can be. The score ranges between 0 and 110. A higher score means worse outcome.

Countries

United States

Participant flow

Participants by arm

ArmCount
Dupilumab
Dupilumab: 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.
15
Total15

Baseline characteristics

CharacteristicDupilumab
Age, Continuous59 years
STANDARD_DEVIATION 18
alpha-diversity of respiratory (sputum) microbiota: Shannon index3.08 Shannon's index
STANDARD_DEVIATION 0.36
alpha-diversity of stool microbiota: Shannon index3.20 score on a scale
STANDARD_DEVIATION 0.31
Asthma Control Test (ACT) score15 score on a scale
STANDARD_DEVIATION 5
Blood eosinophils200 cells/microliter
STANDARD_DEVIATION 200
Body-mass index30.1 (kg/m^2)
STANDARD_DEVIATION 12.7
Ethnicity (NIH/OMB)
Hispanic or Latino
0 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
15 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
0 Participants
FEV1:FVC0.75 ratio
STANDARD_DEVIATION 0.12
Fractional exhaled nitric oxide (FeNO)32 parts per billion
STANDARD_DEVIATION 33
mini-Asthma Quality of Life Questionnaire (mAQLQ) score4.2 score on a scale
STANDARD_DEVIATION 1.2
Oral Corticosteroid Use1 Participants
Race/Ethnicity, Customized
Race other than White
1 Participants
Race/Ethnicity, Customized
White
14 Participants
Region of Enrollment
United States
15 Participants
Relative abundances of respiratory (sputum) microbiota members
Bifidobacterium dentium
0.55 percentages
STANDARD_DEVIATION 0.8
Relative abundances of respiratory (sputum) microbiota members
Bifidobacterium longum
0.81 percentages
STANDARD_DEVIATION 1.5
Relative abundances of respiratory (sputum) microbiota members
Parvimonas micra
3.5 percentages
STANDARD_DEVIATION 4.5
Relative abundances of respiratory (sputum) microbiota members
Rothia mucilaginosa
7.2 percentages
STANDARD_DEVIATION 5.6
Relative abundances of respiratory (sputum) microbiota members
Streptococcus anginosus
3.5 percentages
STANDARD_DEVIATION 8.7
Relative abundances of respiratory (sputum) microbiota members
Streptococcus gordonii
2.9 percentages
STANDARD_DEVIATION 3.7
Relative abundances of respiratory (sputum) microbiota members
Streptococcus parasanguinis
10.8 percentages
STANDARD_DEVIATION 8.4
Relative abundances of respiratory (sputum) microbiota members
Streptococcus salivarius
17.8 percentages
STANDARD_DEVIATION 14.5
Relative abundances of respiratory (sputum) microbiota members
Streptococcus sanguinis
2.2 percentages
STANDARD_DEVIATION 1.2
Relative abundances of respiratory (sputum) microbiota members
Tropheryma whipplei
2.23 percentages
STANDARD_DEVIATION 2.4
Respiratory bacterial burden (#bacterial cells, sputum)4,622,000,000 bacterial cells
Sex: Female, Male
Female
7 Participants
Sex: Female, Male
Male
8 Participants
Sino-nasal outcome test (SNOT-22) score44 score on a scale
STANDARD_DEVIATION 16

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 15
other
Total, other adverse events
0 / 0
serious
Total, serious adverse events
2 / 15

Outcome results

Primary

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.

Time frame: Baseline (before dupilumab), 1 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChange in Beta-diversity of Respiratory Microbiota.82 score on a scaleStandard Deviation 0.17
Primary

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.

Time frame: Baseline (before dupilumab), 4 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChange in Beta-diversity of Respiratory Microbiota0.82 score on a scaleStandard Deviation 0.17
Primary

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.

Time frame: 1 month, 4 months

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChange in Beta-diversity of Respiratory Microbiota0.81 score on a scaleStandard Deviation 0.19
Primary

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..

Time frame: Baseline (before dupilumab), 1 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChange in Beta-diversity of Stool Microbiota0.72 score on a scaleStandard Deviation 0.14
Primary

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.

Time frame: 1 month, 4 months

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChange in Beta-diversity of Stool Microbiota0.71 score on a scaleStandard Deviation 0.14
Primary

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.

Time frame: Baseline (before dupilumab), 4 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChange in Beta-diversity of Stool Microbiota0.75 score on a scaleStandard Deviation 0.12
Primary

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.

Time frame: Baseline (before dupilumab), 4 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureGroupValue (MEAN)Dispersion
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus salivarius-0.2 percent of bacterial classificationStandard Deviation 0.07
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus sanguinis1.1 percent of bacterial classificationStandard Deviation 0.02
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus parasanguinis-2.6 percent of bacterial classificationStandard Deviation 0.1
DupilumabChange in Relative Abundances of Microbiota MembersBifidobacterium longum-1.6 percent of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersTropheryma whipplei2.4 percent of bacterial classificationStandard Deviation 0.03
DupilumabChange in Relative Abundances of Microbiota MembersBifidobacterium dentium-3.1 percent of bacterial classificationStandard Deviation 0.07
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus gordonii0.05 percent of bacterial classificationStandard Deviation 0.03
DupilumabChange in Relative Abundances of Microbiota MembersParvimonas micra0.6 percent of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus anginosus1.1 percent of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersRothia mucilaginosa-4.0 percent of bacterial classificationStandard Deviation 0.09
Primary

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.

Time frame: Baseline (before dupilumab), 1 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureGroupValue (MEAN)Dispersion
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus salivarius-5.9 percentage of bacterial classificationStandard Deviation 0.09
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus sanguinis-2.4 percentage of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus parasanguinis0.03 percentage of bacterial classificationStandard Deviation 0.05
DupilumabChange in Relative Abundances of Microbiota MembersBifidobacterium longum0.03 percentage of bacterial classificationStandard Deviation 0.02
DupilumabChange in Relative Abundances of Microbiota MembersTropheryma whipplei0.2 percentage of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersBifidobacterium dentium0.3 percentage of bacterial classificationStandard Deviation 0.01
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus gordonii1.0 percentage of bacterial classificationStandard Deviation 0.02
DupilumabChange in Relative Abundances of Microbiota MembersParvimonas micra1.6 percentage of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus anginosus1.6 percentage of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersRothia mucilaginosa2.0 percentage of bacterial classificationStandard Deviation 0.05
Primary

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.

Time frame: 1 month, 4 months

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureGroupValue (MEAN)Dispersion
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus sanguinis3.3 percent of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus anginosus-0.5 percent of bacterial classificationStandard Deviation 0.01
DupilumabChange in Relative Abundances of Microbiota MembersRothia mucilaginosa-2.0 percent of bacterial classificationStandard Deviation 0.05
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus salivarius8.3 percent of bacterial classificationStandard Deviation 0.1
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus parasanguinis-3.5 percent of bacterial classificationStandard Deviation 0.12
DupilumabChange in Relative Abundances of Microbiota MembersBifidobacterium longum-1.6 percent of bacterial classificationStandard Deviation 0.02
DupilumabChange in Relative Abundances of Microbiota MembersTropheryma whipplei0.1 percent of bacterial classificationStandard Deviation 0
DupilumabChange in Relative Abundances of Microbiota MembersBifidobacterium dentium-4.5 percent of bacterial classificationStandard Deviation 0.08
DupilumabChange in Relative Abundances of Microbiota MembersStreptococcus gordonii-1.6 percent of bacterial classificationStandard Deviation 0.04
DupilumabChange in Relative Abundances of Microbiota MembersParvimonas micra-1.2 percent of bacterial classificationStandard Deviation 0.02
Primary

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.

Time frame: Baseline (before dupilumab), 1 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)
DupilumabChange in Respiratory Bacterial Burden-16,117,353,849 cells
Primary

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.

Time frame: Baseline (before dupilumab), 4 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)
DupilumabChange in Respiratory Bacterial Burden-25,294,991,477 cells
Primary

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.

Time frame: 1 month, 4 months

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)
DupilumabChange in Respiratory Bacterial Burden-9,927,388,331 cells
Primary

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.

Time frame: Baseline (before dupilumab), 4 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChanges in Alpha-diversity of Respiratory Microbiota0.14 Shannon's indexStandard Deviation 0.3
Primary

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.

Time frame: Baseline (before dupilumab), 1 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChanges in Alpha-diversity of Respiratory Microbiota0.13 Shannon's indexStandard Deviation 0.29
Primary

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.

Time frame: 1 month, 4 months

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChanges in Alpha-diversity of Respiratory Microbiota-0.09 Shannon's indexStandard Deviation 0.41
Primary

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.

Time frame: Baseline (before dupilumab), 4 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChanges in Alpha-diversity of Stool Microbiota0.04 Shannon's indexStandard Deviation 0.29
Primary

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.

Time frame: Baseline (before dupilumab), 1 month

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChanges in Alpha-diversity of Stool Microbiota0.07 Shannon's indexStandard Deviation 0.24
Primary

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.

Time frame: 1 month, 4 months

Population: While 15 participants completed treatment, not all participants were able to provide biosamples. All data collected from available samples is provided here.

ArmMeasureValue (MEAN)Dispersion
DupilumabChanges in Alpha-diversity of Stool Microbiota0.42 Shannon's indexStandard Deviation 0.67
Secondary

Asthma Control Test (ACT)

The Asthma Control Test is a clinically validated questionnaire that assesses level of asthma control based on a 4-week recall of symptoms and daily functioning captured in 5 items. Each item is scored on a 5-point scale, and the total score is the sum of the values for all 5 items (range 5-25). A score of 5 represents worst-controlled asthma and 25 represents best-controlled asthma. An ACT score \>19 indicates well-controlled asthma; the minimal clinically important difference in score is 3.

Time frame: Baseline, 1 month, 4 months

ArmMeasureGroupValue (MEDIAN)
DupilumabAsthma Control Test (ACT)Visit 115 score on a scale
DupilumabAsthma Control Test (ACT)Visit 221 score on a scale
DupilumabAsthma Control Test (ACT)Visit 321 score on a scale
Secondary

Change in Fractional Exhaled Nitric Oxide (FeNO)

Fractional exhaled nitric oxide is a clinical biomarker for type 2 airway inflammation. FeNO \>25 is considered indicative of type 2 airway inflammation.

Time frame: Baseline, 1 month, 4 months

ArmMeasureGroupValue (MEDIAN)
DupilumabChange in Fractional Exhaled Nitric Oxide (FeNO)Visit 132 parts per billion
DupilumabChange in Fractional Exhaled Nitric Oxide (FeNO)Visit 224 parts per billion
DupilumabChange in Fractional Exhaled Nitric Oxide (FeNO)Visit 317 parts per billion
Secondary

Change in Prescribed Maintenance Corticosteroid Use (Inhaled or Oral), Between Baseline and 4 Months.

Count of participants whose maintenance corticosteroid prescription changed between baseline and 4 months.

Time frame: Baseline, 4 months

ArmMeasureValue (COUNT_OF_PARTICIPANTS)
DupilumabChange in Prescribed Maintenance Corticosteroid Use (Inhaled or Oral), Between Baseline and 4 Months.0 Participants
Secondary

Forced Expiratory Volume (FEV1)

FEV1 measure reported as a percentage of predicted FEV1.

Time frame: Baseline, 1 month, 4 months

ArmMeasureGroupValue (MEDIAN)
DupilumabForced Expiratory Volume (FEV1)Visit 185 percent of predicted volume
DupilumabForced Expiratory Volume (FEV1)Visit 288 percent of predicted volume
DupilumabForced Expiratory Volume (FEV1)Visit 389 percent of predicted volume
Secondary

Forced Expiratory Volume ( FEV1) / Forced Vital Capacity (FVC) Ratio

Ratio of the volume of air exhaled in 1 sec (FEV1) divided by the total volume exhaled (FVC). FEV1/FVC \< 0.70 (or less than lower limit of age-predicted normal) is clinically diagnostic of obstructive lung disease.

Time frame: Baseline, 1 month, 4 months

ArmMeasureGroupValue (MEDIAN)
DupilumabForced Expiratory Volume ( FEV1) / Forced Vital Capacity (FVC) RatioVisit 30.77 ratio
DupilumabForced Expiratory Volume ( FEV1) / Forced Vital Capacity (FVC) RatioVisit 10.75 ratio
DupilumabForced Expiratory Volume ( FEV1) / Forced Vital Capacity (FVC) RatioVisit 20.78 ratio
Secondary

Mini Asthma Quality of Life Questionnaire Score (mAQLQ)

The mini-Asthma Quality of Life Questionnaire (mAQLQ) consists of 15 questions covering 4 domains: symptoms (5 questions), activity limitations (4 questions), emotional function (3 questions), and environmental stimuli (3 questions). The recall time for the mAQLQ is 2 weeks and each item is scored on a 7-point scale. Total scores per participant are the average of the 15 items and range from 1-7, with higher scores indicative of better quality of life. The minimum clinically important difference is 0.5.

Time frame: Baseline, 1 month, 4 months

ArmMeasureGroupValue (MEDIAN)
DupilumabMini Asthma Quality of Life Questionnaire Score (mAQLQ)Visit 14.2 score on a scale
DupilumabMini Asthma Quality of Life Questionnaire Score (mAQLQ)Visit 25.2 score on a scale
DupilumabMini Asthma Quality of Life Questionnaire Score (mAQLQ)Visit 35.6 score on a scale
Secondary

Number of Asthma Exacerbations Requiring at Least 3 Days of Oral Corticosteroids

Number of asthma exacerbations requiring at least 3 days of oral corticosteroids across the entire study population over the course of the study.

Time frame: up to 4 months

ArmMeasureValue (NUMBER)
DupilumabNumber of Asthma Exacerbations Requiring at Least 3 Days of Oral Corticosteroids1 count of exacerbations
Secondary

Sino-nasal Outcome Test (SNOT-22)

This is a 22 item questionnaire. Each item is rated as follows: 0=no problem, 1=very mild problem, 2=mild or slight problem, 3=moderate problem, 4=severe problem, 5=problem as bad as it can be. The score ranges between 0 and 110. A higher score means worse outcome.

Time frame: Baseline, 1 month, 4 months

ArmMeasureGroupValue (MEDIAN)
DupilumabSino-nasal Outcome Test (SNOT-22)Visit 144 score on a scale
DupilumabSino-nasal Outcome Test (SNOT-22)Visit 224 score on a scale
DupilumabSino-nasal Outcome Test (SNOT-22)Visit 321 score on a scale

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026