Asthma Clinical Trial
— Nasal-LPSOfficial title:
Nasal Endotoxin Challenge to Study Mucosal Inflammation in Patients With Asthma
Verified date | February 2024 |
Source | National Jewish Health |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
A phase I clinical research study aimed at determining mechanisms that regulate airway mucosal inflammation in asthma endotypes using intranasal administration of endotoxin (lipopolysaccharide from E. coli) in healthy controls and subjects diagnosed with asthma.
Status | Not yet recruiting |
Enrollment | 60 |
Est. completion date | June 2028 |
Est. primary completion date | April 2028 |
Accepts healthy volunteers | Accepts Healthy Volunteers |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: - Participants will have asthma diagnosed by a health care provider. Healthy controls are individuals without asthma. - Written informed consent Exclusion Criteria: - Current or recent illness (in the past 4 weeks) - Recent asthma exacerbation (past 4 weeks) - History of nasal perforation or nasal surgery - Nasal polyposis - Presence or prior history of cardiac or systemic disease - Bleeding disorder, use of systemic anticoagulants, or antiplatelet therapy - Immunocompromised state (HIV, immunoglobulin deficiency, systemic immunosuppressants excluding corticosteroids) - Use of tobacco or marijuana in the past 2 months or greater than a 10 pack-year smoking history - Currently pregnant or breastfeeding |
Country | Name | City | State |
---|---|---|---|
United States | National Jewish Health | Denver | Colorado |
Lead Sponsor | Collaborator |
---|---|
National Jewish Health |
United States,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Neutrophil heterogeneity using single cell RNA sequencing | Neutrophil subset composition as determined by single cell RNAseq is compared to endotype groups using a multivariate linear regression framework for compositional data, employing the additive log ratio transformation. Models will include indicator variables for whether a sample is T1 high, T2 high, T17 high or non-asthmatic and will control for age, sex, and smoking status. AM subset gene expression matrices from scRNAseq will be compared between endotypes using the pseudo bulk approach to account for clustering of cells within subjects. To identify global gene expression programs underlying each endotype, bulk RNAseq gene expression data will be normalized using DESeq2's variance stabilizing transformation and similarly compared between endotypes using linear regression models. A Benjamini-Hochberg adjustment will be used to control the false discovery rate. | We anticipate that the study will run over 5 years |
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