Table 4.
Primary Outcome | Secondary Outcomes | Biomarkers Considered | Type of Biomarker | ||
---|---|---|---|---|---|
Early Diagnosis of Pulmonary Fibrosis—Use of Biomarkers in IPF NCT02755441 Year: 2016 |
Type: observational perspective N. part: 300 IPF cohort |
Disease progression or mortality at 1 year | Hospitalizations Exacerbations LFTs Mortality QoL Combined endpoints of disease progression Progression in serum/plasma biomarker levels |
Unspecified multiple biomarkers | Prognostic |
Immunopathologic Profiles of the Lung Micro-Environment Using Cryobiopsies and Identification of Blood Biomarkers in Patients With IPF NCT04187079 Year: 2017 |
Type: observational prospective N. part: 100 IPF cohort vs. other ILD cohort |
Expression of PD-L1 in the epithelial cells in lungs | / | PD-L1, PD-L2, Beta- catenin, B-cell follicles and Tenascin- C in cryobiopsies from the lungs anti HSP 70, p-ANCA, c-ANCA, CD4+/CD28- and CD8+/CD28- cells in blood samples |
Diagnostic |
Development of Airway Absorption Sampling Methods for Biomarker Assessment in Probable IPF Patients NCT04494334 Year: 2020 |
Type: observational cross-sectional study N. part: 60 IPF vs. sarcoidosis vs. healthy controls |
Levels of the of biomarker/mediator SP-D, CCL18, CXCL13 and periostin in bronchial Lining fluid in IPF and sarcoidosis patients | Levels of Periostin, SP-D, CCL18 and CXCL13 in nasosorption samples within and across the 3 groups of participants Levels of Periostin, SPD, CCL18 and CXCL13 in blood within and across the 3 groups of participants |
SP-D, CCL18, CXCL13 and periostin | Diagnostic |
Pulmonary Fibrosis Biomarkers During Exacerbation N CT04442711 Year: 2020 |
Type: observational prospective N. part: 50 IPF cohort |
Mortality at 30 and 90 days | Biomarkers level, change in oxygen need, QoL, need for respiratory support, decline of LFTs at 30 days. Treatment during and after hospitalization |
Multiple biomarkers on blood serum and plasma collected within 24 h of hospital admission | Diagnostic Prognostic |
LOCK-IPF NCT04268485 Year: 2020 |
Type: observational prospective N. part: 60 IPF cohort |
Change in serum KL-6 level between baseline and 12 months | Change in serum KL-6 level between baseline and 3 and 6 months. Correlation of KL-6 and FVC, DLCO, symptoms, response to antifibrotic therapy and GAP stage at 3, 6 and 12 months to baseline Correlation between KL-6 levels and CPI Difference in KL-6 levels between patients with indeterminate, probable and definite UIP on HRCT |
KL-6 on blood | Prognostic |
Cardiovascular fibrosis in IPF NCT04177251 Year: 2019 |
Type: observational case-control prospective study N. part: 168 IPF cohort vs. healthy controls |
Presence of cardiac fibrosis in a population of patients with overt IPF at diagnosis in comparison with healthy controls Presence of vascular fibrosis in a population of patients with overt IPF at diagnosis in comparison with healthy controls |
Levels of biomarkers analyzed (galectins-3, osteopontin and periostin) IPF progression after 1 year from diagnosis in IPF patients Blood proteomic and metabolomic biomarkers |
galectins-3, osteopontin and periostin Proteomic and metabolomic biomarkers |
Diagnostic Prognostic |
The Role of the miR200 Family in the Restoration of Normal Lung Homeostasis and Detection of Early IPF NCT03457935 Year: 2018 |
Type: observational prospective N. part: 450 IPF vs. non-IPF ILD vs. healthy controls |
Determine miR200 levels (fold change) in blood samples to identify biomarkers for IPF | / | miR200 | Diagnostic |
IPF and Serum Bank NCT04016168 Year: 2014 |
Type: observational prospective N. part: 500 Diffuse idiopathic ILD cohort |
Determination of circulating CD163 serum concentration | / | CD163 | n/a |
Role of Genetics in IPF NCT01088217 Year: 2010 |
Type: observational cross-sectional study (family based) N. part: 8000 IPF, familial pulmonary fibrosis cohort, Idiopathic Interstitial Pneumonia Familial Interstitial Pneumonia |
Identify a group of genetic loci that play a role in the development of familial interstitial pneumonia and idiopathic interstitial pneumonia. | Develop biomarkers using proteomic and genomic approaches that will facilitate establishing the diagnosis and prognosis of both familial and sporadic forms of idiopathic interstitial pneumonia | Multiple biomarkers | Diagnostic Prognostic |
ELFMEN Study NCT04016181 Year: 2007 |
Type: observational prosepective N. part: 800 IPF and other ILDs |
Time to death | Biomarkers that are associated with increased rate of decline in vital capacity, increased lung-related mortality and that predict rate of change in gas transfer | Multiple biomarkers | Prognostic |
Genomic and Proteomic Analysis (GAP) of Disease Progression in IPF NCT00373841 Year: 2006 |
Type: observational N. part: 500 IPF cohort |
Identify genetic and biologic markers that may predict the loss of lung function due to idiopathic pulmonary fibrosis through comparison of genetic and biologic markers of samples to changes in symptoms | / | Multiple biomarkers | Prognostic |
EXCHANGE-IPF NCT03584802 Year: 2018 |
Type: RCT N. part: 40 Therapeutic plasma exchanges vs. conventional treatment in AE of IPF |
Overall mortality at day 28 after initiation of therapy | […] Changes in lung injury biomarkers in plasma (KL-6, SP-D) between day 1 and day 90 Changes in circulating autoantibodies levels (anti-periplakin, anti-HSP70 and anti-vimentin antibodies) between day 1 and day 90 |
Injury biomarkers Circulating fibrocytes Auto-antibodies |
Therapeutic |
RCT: randomized controlled trial; IPF, idiopathic pulmonary fibrosis; ILD, interstitial lung disease; LFTs, lung function tests; QoL, quality of life; PD-L1/2, Programmed Death-Ligand ½; HSP 70, heat shock protein 70; ANCA, Antineutrophil Cytoplasmic Antibodies; CD 4-28-8-163, cluster of differentiation 4-28-8-163; SP-D/A, surfactant protein D/A; CCL18/2, chemokine ligand 18/2; CXCL13, CXC motif chemokine 13; KL-6/MUC1, Krebs von den Lungen 6/Mucin 1; FVC, forced vital capacity; DLCO, diffusion capacity for carbon monoxide; GAP, Gender, Age, and Physiology score; UIP, usual interstitial pneumonia; HRCT, high resolution computed tomography; C1M, Collagen 1 Degraded by Matrix Metalloproteinase-2/9/13.