Observational studyRespiratory research2021
Cutaneous T-cell-attracting chemokine as a novel biomarker for predicting prognosis of idiopathic pulmonary fibrosis: a prospective observational study.
Observational study in Respiratory research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 6 citations in OpenAlex.
- Exploring the Causal Relationship Between Inflammatory Cytokines and Joint Pain: A Mendelian Randomization Study.Pain research & management · 2026Article
- Review
- Serum cytokine dysregulation signatures associated with COVID-19 outcomes in high mortality intensive care unit cohorts across pandemic waves and variants.Scientific reports · 2024Article
- Meniscus repair via collagen matrix wrapping and bone marrow injection: clinical and biomolecular study.International orthopaedics · 2023Article
- Idiopathic pulmonary fibrosis disease progression: a dynamic quantitative chest computed tomography follow-up analysis.Quantitative imaging in medicine and surgery · 2023Article
- Associations of the circulating levels of cytokines with risk of ankylosing spondylitis: a Mendelian randomization study.Frontiers in immunology · 2023Article
- Cytokine and Growth Factor Analysis in Exfoliation Syndrome and Glaucoma.Investigative ophthalmology & visual science · 2021Article
Corrections and comments
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Authors and funding
22 authors at 12 institutions in 1 country.
Funding
Abstract
backgroundIdiopathic pulmonary fibrosis (IPF) is a chronic, progressive fibrotic lung disease that leads to respiratory failure and death. Although there is a greater understanding of the etiology of this disease, accurately predicting the disease course in individual patients is still not possible. This study aimed to evaluate serum cytokines/chemokines as potential biomarkers that can predict outcomes in IPF patients.
methodsA multi-institutional prospective two-stage discovery and validation design using two independent cohorts was adopted. For the discovery analysis, serum samples from 100 IPF patients and 32 healthy controls were examined using an unbiased, multiplex immunoassay of 48 cytokines/chemokines. The serum cytokine/chemokine values were compared between IPF patients and controls; the association between multiplex measurements and survival time was evaluated in IPF patients. In the validation analysis, the cytokines/chemokines identified in the discovery analysis were examined in serum samples from another 81 IPF patients to verify the ability of these cytokines/chemokines to predict survival. Immunohistochemical assessment of IPF-derived lung samples was also performed to determine where this novel biomarker is expressed.
resultsIn the discovery cohort, 18 cytokines/chemokines were significantly elevated in sera from IPF patients compared with those from controls. Interleukin-1 receptor alpha (IL-1Rα), interleukin-8 (IL-8), macrophage inflammatory protein 1 alpha (MIP-1α), and cutaneous T-cell-attracting chemokine (CTACK) were associated with survival: IL-1Rα, hazard ratio (HR) = 1.04 per 10 units, 95% confidence interval (95% CI) 1.01-1.07; IL-8, HR = 1.04, 95% CI 1.01-1.08; MIP-1α, HR = 1.19, 95% CI 1.00-1.36; and CTACK, HR = 1.12 per 100 units, 95% CI 1.02-1.21. A replication analysis was performed only for CTACK because others were previously reported to be potential biomarkers of interstitial lung diseases. In the validation cohort, CTACK was associated with survival: HR = 1.14 per 100 units, 95% CI 1.01-1.28. Immunohistochemistry revealed the expression of CTACK and CC chemokine receptor 10 (a ligand of CTACK) in airway and type II alveolar epithelial cells of IPF patients but not in those of controls.
conclusionsCTACK is a novel prognostic biomarker of IPF. Trial registration None (because of no healthcare intervention).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.