Basal-like Cells in the BAL Fluid: An Echo of Regenerative Crisis in Idiopathic Pulmonary Fibrosis Lungs
| Autor: | Shaykhiev, Renat |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Male
Pulmonary and Respiratory Medicine Pathology medicine.medical_specialty Gene Expression Respiratory Mucosa Critical Care and Intensive Care Medicine 03 medical and health sciences Basal (phylogenetics) Idiopathic pulmonary fibrosis 0302 clinical medicine Text mining Predictive Value of Tests Humans Medicine Lung Aged Oligonucleotide Array Sequence Analysis Proportional Hazards Models Retrospective Studies 030304 developmental biology 0303 health sciences business.industry Gene Expression Profiling Echo (computing) Editorials Original Articles respiratory system medicine.disease Survival Analysis Idiopathic Pulmonary Fibrosis respiratory tract diseases 030228 respiratory system Female business Bronchoalveolar Lavage Fluid |
| Zdroj: | American Journal of Respiratory and Critical Care Medicine |
| ISSN: | 1535-4970 1073-449X |
| DOI: | 10.1164/rccm.201808-1557ed |
| Popis: | Rationale: Idiopathic pulmonary fibrosis (IPF) is a fatal disease with a variable and unpredictable course. Objectives: To determine whether BAL cell gene expression is predictive of survival in IPF. Methods: This retrospective study analyzed the BAL transcriptome of three independent IPF cohorts: Freiburg (Germany), Siena (Italy), and Leuven (Belgium) including 212 patients. BAL cells from 20 healthy volunteers, 26 patients with sarcoidosis stage III and IV, and 29 patients with chronic obstructive pulmonary disease were used as control subjects. Survival analysis was performed by Cox models and component-wise boosting. Presence of airway basal cells was tested by immunohistochemistry and flow cytometry. Measurements and Main Results: A total of 1,582 genes were predictive of mortality in the IPF derivation cohort in univariate analyses adjusted for age and sex at false discovery rate less than 0.05. A nine-gene signature, derived from the discovery cohort (Freiburg), performed well in both replication cohorts, Siena (P |
| Databáze: | OpenAIRE |
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