Immune Status and Disease Control of Inflammatory Airway Diseases (ISDC-IAD)

Association Between Immune Status and Disease Control in Patients With Inflammatory Airway Diseases

The goal of this study is to learn how the body's immune system affects disease control in people with different airway inflammatory diseases.We want to understand:

1.Whether specific immune cell patterns in the blood are linked to how severe the disease is or how well it is controlled.

Participants will:

  1. Answer questions about their health and symptoms.
  2. Give blood samples
  3. Have lung function tests and other standard check-ups.
  4. share sleep study results. We will compare people with airway diseases to healthy volunteers to see how their immune systems differ.

Study Overview

Detailed Description

This prospective, single-center observational cohort study aims to comprehensively characterize the immune landscape of patients with chronic airway inflammatory diseases through the application of high-dimensional single-cell technologies.The study plans to enroll approximately 205 to 215 participants, comprising multiple disease groups and matched healthy controls.

A core methodological innovation of this study is the use of CyTOF (Cytometry by Time-Of-Flight), a mass cytometry platform capable of simultaneously analyzing up to 40-100 immune markers at the single-cell level. This approach allows for a highly detailed phenotypic and functional profiling of peripheral blood mononuclear cells (PBMCs), enabling the discovery of disease-associated immune cell subsets with greater resolution than conventional flow cytometry.

Participants will be stratified by disease type and severity based on clinical diagnostic criteria, functional testing (e.g., FEV1, AHI, FeNO), and established clinical scores (e.g., ACQ, CAT, GOLD, SGRQ, E-FACED). Blood samples will be processed for PBMC isolation and subjected to CyTOF analysis. Complementary assessments include cytokine profiling via ELISA, single-cell RNA sequencing (scRNA-seq) for transcriptomic insights, and sputum analysis via culture and next-generation sequencing (NGS) to evaluate microbial colonization and inflammatory cell profiles.

This study will investigate the correlation between immune phenotypes and clinical control levels, disease severity, hypoxia metrics, and inflammatory mediators (e.g., IL-6, TNF-α). It also seeks to identify key immunopathological features that may differentiate subtypes within each disease (e.g., T2-high vs. T2-low asthma; Pseudomonas-positive vs. negative bronchiectasis) and evaluate transitional states such as PRISm in relation to COPD progression. Multivariate models combining immune and clinical parameters will be developed to facilitate predictive stratification and to guide future individualized immunotherapeutic strategies.

By integrating CyTOF, scRNA-seq, and clinical data, this protocol aspires to define immune biomarkers predictive of airway disease control and severity and to provide a systems-level understanding of immune dysfunction across heterogeneous respiratory disorders.

Study Type

Observational

Enrollment (Estimated)

200

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Locations

    • Zhejiang
      • Ningbo, Zhejiang, China
        • Recruiting
        • The First Affiliated Hospital of Ningbo University
        • Contact:

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

Yes

Sampling Method

Non-Probability Sample

Study Population

This study included patients diagnosed with airway inflammatory diseases who were treated at the First Affiliated Hospital of Ningbo University.

Description

Inclusion Criteria

  1. Age ≥18 years (≥40 years for COPD patients).
  2. Clinical diagnosis of asthma, ABPA, bronchiectasis, OSAS, or COPD according to established criteria.
  3. PRISm patients (post-BD FEV1/FVC ≥70% and FEV1 <80% predicted)
  4. Smoking controls: ≥10 pack-years, normal lung function, no chronic respiratory symptoms.
  5. Healthy controls: normal lung function, FeNO <20 ppb, total IgE <100 IU/mL, no chronic disease, smoking <10 pack-years, no immunosuppressant use within 3 months.

Exclusion Criteria

  1. Patients with severe respiratory diseases other than those included in the study, such as pulmonary embolism, pneumothorax, pulmonary hypertension, interstitial lung disease, or active lung cancer.
  2. Patients with severe systemic diseases that may interfere with study completion, such as myocardial infarction, severe arrhythmia, hepatic insufficiency, renal insufficiency, hematological disorders, or malignancy.
  3. Patients with an acute exacerbation within 4 weeks before enrollment, or systemic use of antibiotics, antifungal drugs, immunosuppressive agents, cytotoxic agents, or corticosteroids (except for long-term maintenance therapy)
  4. Pregnant or lactating women.
  5. Patients with poor compliance as judged by the investigators.
  6. Subjects currently participating in other clinical studies.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
COPD group
The clinical diagnosis was COPD
Bronchiectasis group
The clinical diagnosis was Bronchiectasis
OSAS group
The clinical diagnosis was OSAS
Asthma group
The clinical diagnosis was asthma
ABPA group
The clinical diagnosis was ABPA
Health comparison
Healthy person without respiratory disease

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Peripheral Blood Immune Cell Subset Profiling by Mass Cytometry (CyTOF)
Time Frame: baseline
Peripheral blood mononuclear cells (PBMCs) will be analyzed by CyTOF using a 41-marker antibody panel (includingCD4, CD8, HLA-DR, CD25, CD127, CD45RA, CD38, CD66b, IgD,etc.) The outcome will be reported as the relative frequency (%) and absolute counts of defined immune subsets, including T cell subsets (Th1, Th2, Th17, Treg, Tfh, cytotoxic T cells), B cell subsets (naive, memory, B1a, transitional), NK cells, myeloid cells, plasmablasts, monocytes, MDSCs, and granulocytes. Functional phenotypes such as activation (HLA-DR), exhaustion (PD-1), and aging (CD57) will also be quantified.
baseline
Serum Cytokine Levels by ELISA
Time Frame: baseline
Plasma cytokines (e.g., IL-6, TNF-α, IL-10) will be quantified using ELISA. Data will be reported as absolute concentrations (pg/mL) and compared across disease subgroups.
baseline

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Sputum Microbiome Composition by Metagenomic Next-Generation Sequencing (mNGS)
Time Frame: baseline
Sputum samples will be analyzed by metagenomic next-generation sequencing (mNGS) to characterize bacterial, fungal, and viral communities. Data will be aggregated as relative abundance (%) of microbial taxa and diversity indices (Shannon, Simpson).
baseline
Sleep-Disordered Breathing Severity Measured by Polysomnography
Time Frame: baseline
For patients with OSAS and snoring, Apnea-Hypopnea Index (AHI), minimum SpO₂, and cumulative time with SpO₂ < 90% (CT90) will be recorded overnight. Data will be summarized as mean values and categorized into mild, moderate, or severe OSAS.
baseline
Serum Lipid testing
Time Frame: baseline
Including serum total cholesterol, low-density lipoprotein (LDL), high-density lipoprotein (HDL), and triglycerides.
baseline
Daytime Sleepiness in Obstructive Sleep Apnea Measured by Epworth Sleepiness Scale (ESS)
Time Frame: baseline
Epworth Sleepiness Scale (ESS): Evaluates daytime sleepiness severity; higher scores reflect greater impairment.Data will be summarized as mean total scores and categorized into severity levels (normal, mild, moderate, severe).
baseline
Asthma Control Questionnaire
Time Frame: baseline
In the asthma and ABPA research groups, the Asthma Control Questionnaire (ACQ) will be used to evaluate the control of asthma symptoms. ACQ is a validated questionnaire, with each question scoring 0-6 points. The average score will be calculated, with ≤ 0.75 indicating good control, 0.75-1.5 indicating partial control, and>1.5 indicating uncontrolled.
baseline
AQLQ (Asthma Quality of Life Questionnaire) Score
Time Frame: Baseline
The Asthma Quality of Life Questionnaire is used to evaluate the quality of life of asthma patients. The scoring range is 1 - 7 points. The higher the score, the better the quality of life.
Baseline
Borg rating
Time Frame: baseline
The Borg score is used to evaluate the degree of respiratory distress in patients with bronchiectasis, measuring their perceived physical activity or intensity using numbers. Subjective fatigue and respiratory distress are quantified on a 0-10 point scale, with higher scores indicating more severe respiratory distress.
baseline
FACED Score
Time Frame: baseline
FACED Score includes Forced Expiratory Volume in 1 second (FEV1)、Age、 Chronic colonization by Pseudomonas aeruginosa (PA)、Extension (number of pulmonary lobes affected)、Dyspnea (mMRC score).It is used to assess the severity of bronchiectasis. The scoring range is from 0 to 10 points. Grade classification: 0 - 2 points: Mild. 3 - 5 points: Moderate. 6 - 10 points: Severe.
baseline
CAT(COPD Assessment Test) Score
Time Frame: baseline
A tool used in the bronchiectasis group to assist in assessing the severity and quality of life of patients with bronchiectasis. The rating range is 0-10 points. Grade classification: 0-2 points: Mild; 3-5 points: moderate; 6-10 points: severe.
baseline
SGRQ(St. George's Respiratory Questionnaire)Score
Time Frame: baseline
The SGRQ is used to evaluate the quality of life of patients with chronic respiratory diseases. It consists of three parts: symptoms, activities, and impact on daily life. The scoring range is 0 - 100 points. The higher the total score, the poorer the patient's quality of life.
baseline
mMRC(Modified Medical Research Council Dyspnea Scale)Score
Time Frame: baseline
The mMRC Score is used to assess the severity of dyspnoea and is divided into grades 0 - 4. The higher the score, the more severe the dyspnoea. Grade 0: Dyspnoea occurs only during strenuous exercise. Grade 1: Dyspnoea occurs when walking fast on flat ground or climbing a gentle slope. Grade 2: Dyspnoea causes the patient to stop and rest when walking on flat ground. Grade 3: Dyspnoea causes the patient to stop and rest after walking less than 100 metres or for a few minutes on flat ground. Grade 4: The patient is unable to leave home due to dyspnoea, or dyspnoea occurs when dressing or undressing.
baseline
FEV1(Forced Expiratory Volume in 1 second)
Time Frame: baseline
Pulmonary function FEV1 index was evaluated in liters (L). It refers to the volume of air exhaled in the first second by the subject exhaling at the fastest rate after the maximum inspiration.
baseline
MMEF75/25(Maximal Mid-Expiratory Flow between 75% and 25% of FVC)
Time Frame: baseline
MMEF75/25 is measured in liters per minute (L/min). This is the average expiratory flow rate over the course of 75% to 25% of the forced expiratory volume. It is primarily used to assess the function of the small airways.
baseline
FVC(Forced Vital Capacity)
Time Frame: baseline
FVC is measured in liters (L). It is the maximum volume of air that can be exhaled by exhaling forcefully as fast as possible after the maximum inhalation. This indicator reflects the ventilatory function of the lungs. FVC is generally around 3.5 - 5 L in normal adult males and slightly lower in females. FVC can be used to assess the elasticity of the lungs, the patency of the airways, etc.
baseline
FEV1/FVC(Forced Expiratory Volume in 1 second to Forced Vital Capacity Ratio)
Time Frame: baseline
The unit of FEV1/FVC is %. It is mainly used to determine if there is an airflow obstruction. Normally, FEV1/FVC should be greater than 70%.
baseline
Fractional Exhaled Nitric Oxide (FeNO) Levels Measured by Standardized Analyzer
Time Frame: baseline
FeNO will be measured in exhaled air and reported in parts per billion (ppb). Data will be summarized as mean values to reflect airway inflammation.
baseline

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

August 1, 2025

Primary Completion (Estimated)

August 1, 2026

Study Completion (Estimated)

August 1, 2026

Study Registration Dates

First Submitted

August 24, 2025

First Submitted That Met QC Criteria

March 23, 2026

First Posted (Actual)

March 25, 2026

Study Record Updates

Last Update Posted (Actual)

March 25, 2026

Last Update Submitted That Met QC Criteria

March 23, 2026

Last Verified

March 1, 2026

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Subscribe