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| ID | Type | Description | Link |
|---|---|---|---|
| NL84006.018.23 | Other Identifier | CCMO |
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| Name | Class |
|---|---|
| AbbVie | INDUSTRY |
| Boehringer Ingelheim | INDUSTRY |
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The goal of this observational study is to identify early biomarkers that can predict the development of progressive pulmonary fibrosis (PPF) in participants with interstitial lung diseases (ILDs). The participant population includes adults diagnosed with idiopathic pulmonary fibrosis (IPF), familial pulmonary fibrosis (FPF), other fibrotic ILDs, and interstitial lung abnormalities (ILA).
The main questions it aims to answer are:
Researchers will compare the outcomes between participants diagnosed with IPF/FPF, other fibrotic ILDs, and ILA to see if early detection biomarkers differ among these groups.
Participants will:
Included participants will complete several study visits to collect clinical data and biological samples. Study visits will be performed at baseline, 3, 6, 12, 24, 36, 48 and 60 months, with a 2-month time window for follow-up visits. These time points are aligned with the standard clinical follow-up visits outlined in the ILD Care Path Protocol of Amsterdam UMC.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Idiopathic Pulmonary Fibrosis/Familial Pulmonary Fibrosis |
| ||
| fibrotic ILD | Patients with a diagnosis of: chronic Hypersensitivity Pneumonitis (cHP), unclassifiable ILD (uILD), idiopathic NSIP or CTD-ILD. |
| |
| Interstitial Lung Abnormalities |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| No Interventions | Other | No intervention so not applicable. |
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| Measure | Description | Time Frame |
|---|---|---|
| Inflammatory and fibrosis extent assessed by HRCT | High-Resolution Computed Tomography (HRCT) is an advanced imaging technique used to obtain detailed images of the lungs and chest. Unlike standard CT scans, HRCT uses thin slices and special algorithms to produce high-resolution images that provide more precise visualization of lung structures, making it particularly useful for diagnosing and evaluating various lung conditions. The Inflammatory and Fibrosis extent will be analyzed by using artificial intelligence software. | A baseline HRCT scan will be performed during screening. Following inclusion in the study, HRCT scans will be repeated annually, starting one year after the initial scan, and continuing each year until the end of follow-up (at 5 years)) |
| Pulmonary function tests (PFTs)- Spirometry volumes | Pulmonary function tests (PFTs) are a group of tests that measure how well your lungs are working. These tests assess lung volume, capacity, rates of flow, and gas exchange. We will look at the following values: 1. Spirometry Values
| It will be measured at baseline, at 3, 6, and 12 months, and every other year till end of follow-up (60months)) |
| Pulmonary function tests (PFTs)- DLCO measurement | Pulmonary function tests (PFTs) are a group of tests that measure how well your lungs are working. These tests assess lung volume, capacity, rates of flow, and gas exchange. We will look at the Diffusion Capacity Tests (DLCO). DLCO: Measures how well oxygen and CO2 are exchanged between the lungs and the blood. | It will be measured at baseline, at 3, 6, and 12 months, and every other year till end of follow-up (60months)) |
| Pulmonary function tests (PFTs)- Lungvolume measurement | Pulmonary function tests (PFTs) are a group of tests that measure how well your lungs are working. These tests assess lung volume, capacity, rates of flow, and gas exchange. We will look at the Lung Volumes and Capacities
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| Measure | Description | Time Frame |
|---|---|---|
| Disease-relevant questionnaires: Exposure Questionnaire | During multiple visits, participants will be requested to complete the questionnaires below. The questionnaires that are not completed in the study center will be sent to the participants via email to fill out at home or bring to the clinic next visit. The Exposure questionnaire. Participants will be asked about their exposures and exposure risks. They are requested to answer the questions as completely as possible. The participant is asked about their current occupation and occupation history, as well as any present or past exposures to metals, fibers, chemicals, dust, smoke, fog/mist, gases, fumes, animal- or plant-materials, bacterial, viral or fungi contacts. Additionally, we will inquire about what kind of environment they have been living in and the duration of their residency. Other questions will cover hobbies, pesticide contact, and animal contact. The follow-up questionnaire has fewer questions. |
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Inclusion Criteria:
Diagnosis of (1) idiopathic pulmonary fibrosis (IPF), familial pulmonary fibrosis (FPF), (2) other fibrotic ILDs (fILD), including fibrotic hypersensitivity pneumonitis (fHP), idiopathic non-specific interstitial pneumonia (iNSIP), connective tissue disease (CTD)-ILD, and unclassifiable ILD (uILD); or (3) interstitial lung abnormalities (ILA).
Meeting all the following criteria during the screening period:
Able to provide written informed consent as approved by the independent ethics committee.
Able to undergo a CT scan and perform PFT.
Age > 18 years and < 80 years.
Understanding of the Dutch or English language.
Exclusion Criteria:
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The P4O2 ILD-extension is a non-interventional prospective observational cohort study that will include a minimum of 450 participants, divided intro three groups (1) 150 participants diagnosed with idiopathic pulmonary fibrosis (IPF) or familial pulmonary fibrosis (FPF); (2) 150 participants diagnosed with other fibrotic ILDs (fILD), including fibrotic hypersensitivity pneumonitis (fHP), idiopathic non-specific interstitial pneumonia (iNSIP), connective tissue disease (CTD)-ILD, and unclassifiable ILD (uILD); and (3) 150 participants diagnosed with interstitial lung abnormalities (ILA).
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jan Willem Duitman, PhD | Contact | 0205668753 | +31 | j.w.duitman@amsterdamumc.nl |
| Iris Simons, MD | Contact | 0205668753 | +31 | i.simons@amsterdamumc.nl |
| Name | Affiliation | Role |
|---|---|---|
| Esther Nossent, MD | Amsterdam UMC, locatie VUmc | Principal Investigator |
| Jan Willem Duitman, PhD | Amsterdam UMC, locatie VUmc | Principal Investigator |
| Anke-Hilse Maitland-van der Zee, PhD |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Amsterdam UMC, locatie VUmc | Recruiting | Amsterdam | North Holland | 1081 HV | Netherlands |
The study is part of the P4O2 consortium, which focuses on chronic illnesses. Access to data is strictly regulated and provided only to answer research questions that emerge from an approved project proposal. The Data Committee evaluates whether a research question aligns with the original proposal and determines the specific conditions under which access is granted. Consortium members receive pseudonymized data for research and development purposes. These partners must sign a data sharing agreement before accessing the data. Private companies within the consortium may only receive anonymous data for commercial purposes. Private partners outside the consortium can request an analysis, but the outcome is limited to a report or scientific publication. For commercial purposes, these external private companies are permitted to receive only pseudonymized data, ensuring strict adherence to data protection protocols and ethical standards.
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| ID | Term |
|---|---|
| D017563 | Lung Diseases, Interstitial |
| D011658 | Pulmonary Fibrosis |
| D054990 | Idiopathic Pulmonary Fibrosis |
| ID | Term |
|---|---|
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D005355 | Fibrosis |
| D010335 | Pathologic Processes |
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Blood, urine, feces, breath analysis, nasal brush, Bronchoalveolar lavage fluid, lung biopsy, Particles in Exhaled Air (PExA).
| It will be measured at baseline, at 3, 6, and 12 months, and every other year till end of follow-up (60months)) |
| Biomarkers related to pulmonary fibrosis will be measured in plasma and serum | Blood will be taken from participants at the 8 different time points. A predefined panel of biomarkers related to pulmonary fibrosis will be measured in serum/plasma, urine, and, if available, bronchoalveolar lavage fluid. Biomarker levels will be correlated with the time to event (i.e., development of rapid progression or acute exacerbation) to identify biomarkers that predict rapid progression or acute exacerbation, as defined by the criteria by Raghu et al., (2022). | It will be measured at baseline, at 3, 6, and 12 months, and every other year till end of follow-up (60months)) |
| Peripheral blood mononuclear cell (PBMC) populations in blood | Deep phenotyping of peripheral blood mononuclear cells (PBMCs) and, when available, BAL cells will be performed using flow cytometry, spectral flow, or cyTOF (cytometry by time of flight). A panel of surface and activation markers will define subsets of monocyte and lymphocyte populations. Data will be correlated to the time of the event. | It will be measured Will be measured at baseline, at 3, 6 months, 12 months, and every other year till end of follow-up (60months) |
| Exhaled breath analysis including volatile organic compounds | Exhaled breath analysis involves measurements of volatile organic compounds (VOCs) using gas chromatography-mass spectrometry (GC-MS) and electronic sensor detection of exhaled breath compounds in a non-invasive manner (breathing into a device). For all participants, VOCs will be measured using GC-MS (in house GC mass spectrometer).. | It will be measured at baseline, at 3, 6, and 12 months, and every other year till end of follow-up (60months)) |
| Questionnaires will be filled in at baseline, at 6, and 12 months, and every other year till end of follow-up (60months)) |
| Disease-relevant questionnaires: KBILD questionnaire. | During multiple visits, participants will be requested to complete the questionnaires below. The questionnaires that are not completed in the study center will be sent to the participants via email to fill out at home. The King's Brief Interstitial Lung Disease (KBILD) questionnaire is designed to assess the impact of the ILD on the participant's overall well-being and daily life. It can be used to monitor the progression of ILD, evaluate treatment effectiveness, and assess ongoing management. The KBILD questionnaire consists of 15 brief items. For more details, please visit https://www.kbild.com. | Questionnaires will be filled in at baseline, at 6, and 12 months, and every other year till end of follow-up (60months)) |
| Disease-relevant questionnaires: Modified Medical Research Council Dyspnea score | During multiple visits, participants will be requested to complete the questionnaires below. The questionnaires that are not completed in the study center will be sent to the participants via email to fill out at home. The mMRC (Modified Medical Research Council) Dyspnea Scale is used to assess the level of baseline functional disability caused by dyspnea. The mMRC dyspnea scale ranges from grade 0 to 4, with 0 indicating minimal dyspnea. This longitudinal data is valuable for understanding the natural progression of ILDs and evaluating the effectiveness of long-term interventions. | Questionnaires will be filled in at baseline, at 6, and 12 months, and every other year till end of follow-up (60months)) |
| Disease-relevant questionnaires: Visual analog scale (VAS) | During multiple visits, participants will be requested to complete the questionnaires below. The questionnaires that are not completed in the study center will be sent to the participants via email to fill out at home. The Visual analog scale (VAS) is a linear scoring method with a scale ranging from 0 to 10. A score of 0 represents no coughing symptoms, while a score of 10 represents the most severe coughing. The participant is asked to mark the severity of the cough on the scale based on self-perception. | Questionnaires will be filled in at baseline, at 6, and 12 months, and every other year till end of follow-up (60months)) |
| Disease-relevant questionnaires: Fatigue Severity Scale (FSS) | During multiple visits, participants will be requested to complete the questionnaires below. The questionnaires that are not completed in the study center will be sent to the participants via email to fill out at home. The Fatigue Severity Scale (FSS) will be used to determine the severity of fatigue in participants. The questionnaire contains nine items and should take approximately 5 minutes to complete. Fatigue is assessed through nine statements that can be scored on a 7-point scale, ranging from 1 (strongly disagree) to 7 (strongly agree). The total score, ranging from 9 to 63, will be divided by 9. A higher score indicated a higher level of fatigue. | Questionnaires will be filled in at baseline, at 6, and 12 months, and every other year till end of follow-up (60months)) |
| Genomics analysis in blood. | Increasing evidence suggests that genetic factors play a significant role in the emergence of interstitial lung disease (ILD), particularly within the framework of familial clustering, as seen in cases of familial interstitial pneumonia (FIP)(Borie et al., 2019). DNA and total RNA will be isolated from blood using the RNeasy DNA/RNA Universal kit (Qiagen). RNA will be used for generating the transcriptomic data, while DNA will be dedicated to GWAS analysis and methylome profiling. Whole genome transcriptome analysis will be conducted using state-of-the-art RNA sequencing. | Genomics are done once at baseline. |
| Epigenomics analysis in blood. | Increasing evidence suggests that genetic factors play a significant role in the emergence of interstitial lung disease (ILD), particularly within the framework of familial clustering, as seen in cases of familial interstitial pneumonia (FIP)(Borie et al., 2019). DNA and total RNA will be isolated from blood using the RNeasy DNA/RNA Universal kit (Qiagen). RNA will be used for generating the transcriptomic data, while DNA will be dedicated to GWAS analysis and methylome profiling. Whole genome transcriptome analysis will be conducted using state-of-the-art RNA sequencing. | Epigonomics are done at baseline and 1 year after inclusion. |
| Transcriptome analysis in blood. | Increasing evidence suggests that genetic factors play a significant role in the emergence of interstitial lung disease (ILD), particularly within the framework of familial clustering, as seen in cases of familial interstitial pneumonia (FIP)(Borie et al., 2019). Whole genome transcriptome analysis will be conducted using state-of-the-art RNA sequencing. RNAseq libraries will be generated from poly-A enriched RNA and sequenced on the Illumina Hiseq sequencer. After sequencing, the generated reads will be aligned to the UCSC human hg19 reference genomes using software programs such as the short-read mappers and splice-junction identifier TopHat. Differential gene expression analysis will be performed using the DESeq package. RNAseq offers the advantage of detecting all expressed genes without any "a priori" selection through unlined microarray-based gene expression analysis. | Transcriptome is performed at baseline, 6 months and 1 year after inclusion. |
| Proteome analysis in bronchoalveolar lavage fluid | Biomarkerpanel related to pulmonary fibrosis will be measured in bronchoalveolar lavage fluid. A panel of biomarkers related to pulmonary fibrosis will be measured in BALF. The biomarkers will be determined using a biased approach using the Luminex® Instrument (Austin, USA) and unbiased approach using Olink® (Uppsala, Sweden) techniques. Units of Measure will be concentrations of the different proteins in picograms/mililiters | In Group 3, thirty participants will undergo bronchoalveolar lavage at baseline. Additional procedures may be performed during the follow-up period if clinically indicated and will be added to samples. . |
| Microbiome analyses in stool and nasal swabs. | The gut and respiratory microbiomes play an important role in regulating immune responses. The research study will assess the overall microbial metabolic activity and changes in microbiome composition by analyzing fecal and nasal samples from each participant. | Once in first year |
| Concentration of Biomarkers in Exhaled Particles (Collected via Impaction) | Small droplets, or particles, that arise when small airways close and re-open, are collected from the exhaled air and sampled by impaction (PExA technology). Biomarkers from exhaled air particles, collected through impaction, will be analyzed using proteomics platform assays or Enzyme-Linked Immunosorbent Assay (ELISA). The concentration of specific biomarkers (e.g., proteins, cytokines) will be quantified. Unit of Measure: Concentration (pg/mL or ng/mL).. For more details, visit https://pexa.se/en/. | From moment of inclusion every year untill end of follow-up at 60 months. |
| Identification of Compounds in Exhaled Particles via Mass Spectrometry (MS) | Small droplets, or particles, that arise when small airways close and re-open, are collected from the exhaled air and sampled by impaction. Exhaled particles will be analyzed using Mass Spectrometry (MS) to identify and quantify specific compounds or molecular signatures. Concentration (μg/mL or relative abundance). For more details, visit https://pexa.se/en/. | From moment of inclusion every year untill end of follow-up at 60 months. |
| Separation and Quantification of Compounds in Exhaled Particles Using Liquid Chromatography (LC) and High-Performance Liquid Chromatography (HPLC) | Small droplets, or particles, that arise when small airways close and re-open, are collected from the exhaled air and sampled by impaction. Liquid Chromatography (LC) and High-Performance Liquid Chromatography (HPLC) will be used to separate and quantify compounds present in exhaled air samples. Unit of Measure: Concentration (ng/mL or μg/mL). For more details, visit https://pexa.se/en/. | From moment of inclusion every year untill end of follow-up at 60 months. |
| Metabolome analyses in blood. | Metabolomics is a rapidly evolving field, and advancements in technology and analytical methods continue to enhance our understanding of the metabolome and its role in human health and disease. By profiling the metabolites present in blood, we can gain insights into metabolic pathways, identify disease signatures, monitor treatment response, and uncover potential therapeutic targets for ILD. IPF is associated with a distinct circulating metabolome (Hesslinger et al., 2019). Blood samples will be collected via venipuncture at ILD centers to profile metabolites associated with idiopathic pulmonary fibrosis (IPF). Specific biomarkers to be assessed include: Amino acids (e.g., glutamine, tryptophan), Lipids (e.g., triglycerides, phospholipids), Organic acids (e.g., lactate, citric acid), Nucleotides (e.g., ATP, uric acid). These metabolites will provide insights into metabolic pathways. Concentration (μmol/L, ng/mL, or similar, as appropriate for each metabolite). | Twice in the first year of inclusion; baseline and at 6 months. |
| Metabolome analyses in urine | Metabolomics is a rapidly evolving field, and advancements in technology and analytical methods continue to enhance our understanding of the metabolome and its role in human health and disease. By profiling the metabolites present in blood, we can gain insights into metabolic pathways, identify disease signatures, monitor treatment response, and uncover potential therapeutic targets for ILD. IPF is associated with a distinct circulating metabolome (Hesslinger et al., 2019). Urine samples will be collected at home and stored at -80ºC in the biobank for metabolome and biomarker analysis. Specific biomarkers to be assessed include: Creatinine, Electrolytes (e.g., sodium, potassium), Organic metabolites (e.g., hippurate, citrate). These biomarkers will help identify metabolic changes related to ILD. Unit of Measure: Concentration (mmol/L, mg/mL, or similar, as appropriate for each metabolite). | Twice in the first year of inclusion; baseline and at 6 months. |
| Personal exposure to environmental pollutants using the Ultrasonic Personal Air Sampler | External exposome factors such as concentrations of ambient air pollution and other environmental pollutants will be quantified. Time-weighted measurements of PM2.5 will be collected using personal samplers. | Exposome will be measured twice in first year, dependant on season (for most patients at 6 and 1 year follow-up)) |
| External exposome analyses using Silicon wristbands | These wristbands collect exposome particles from the surrounding air in the participant's living environment. The wristbands will be worn for 4 to 5 days and then stored in a sealed bag to be returned to field workers. External exposome factors such as concentrations of ambient air pollution and other environmental pollutants will be quantified. Time-weighted measurements of PM2.5 will be collected. | Exposome will be measured twice in first year, dependant on season (for most patients at 6 and 1 year follow-up)) |
| External exposome analyses using a Sniffer-bike | Sniffer-bike will be placed at the home of the patient and measures external exposome factors such as concentrations of ambient air pollution and other environmental pollutants, these will be quantified. Time-weighted measurements of PM2.5 will be collected using these stationary samplers. | Exposome will be measured twice in first year, dependant on season (for most patients at 6 and 1 year follow-up)) |
| Amsterdam UMC, locatie VUmc |
| Principal Investigator |
| D013568 |
| Pathological Conditions, Signs and Symptoms |