Proteomic profiling of bronchoalveolar lavage fluid uncovers protein clusters linked to survival in idiopathic forms of interstitial lung disease
Year: 2024
Type: article
Study design: Observational Study
Abstract: Background: Idiopathic interstitial pneumonias (IIPs) such as idiopathic pulmonary fibrosis (IPF) and interstitial pneumonia with autoimmune features (IPAF), present diagnostic and therapeutic challenges due to their heterogeneous nature. This study aimed to identify intrinsic molecular signatures within the lung microenvironment of these IIPs through proteomic analysis of bronchoalveolar lavage fluid (BALF). Methods: Patients with IIP (n=23) underwent comprehensive clinical evaluation including pre-treatment bronchoscopy and were compared to controls without lung disease (n=5). Proteomic profiling of BALF was conducted using label-free quantitative methods. Unsupervised cluster analyses identified protein expression profiles which were then analyzed to predict survival outcomes and investigate associated pathways. Results: -means clustering, based on protein expression revealed three distinct IIP clusters, which were not associated with age, smoking history, or baseline pulmonary function. These clusters had unique survival trajectories and provided more accurate survival predictions than the Gender Age Physiology (GAP) index (C-index 0.794 vs. 0.709). The cluster with the worst prognosis featured decreased inflammatory signaling and complement activation, with pathway analysis highlighting altered immune response pathways related to immunoglobulin production and B cell-mediated immunity. Conclusions: The unsupervised clustering of BALF proteomics provided a novel stratification of IIP patients, with potential implications for prognostic and therapeutic targeting. The identified molecular phenotypes underscore the diversity within the IIP classification and the potential importance of personalized treatments for these conditions. Future validation in larger, multi-ethnic cohorts is essential to confirm these findings and to explore their utility in clinical decision-making for patients with IIP.
Source: ERJ Open Research
Authors: Linh T. Ngo, Michaella J. Rekowski, Devin C. Koestler, Takafumi Yorozuya, Atsushi Saito, Imaan Azeem, Alexis Harrison, M. Kristen Demoruelle, Jonathan Boomer, Bryant R. England, Paul Wolters, Philip L. Molyneaux, Mario Castro, Joyce S. Lee, Joshua J. Solomon, Koji Koronuma, Michael P. Washburn, Scott M. Matson
Institutions: University of Kansas, University of Kansas Medical Center, Sapporo Medical University, University of Colorado Anschutz, University of Colorado Denver, VA Nebraska Western Iowa Health Care System, University of Nebraska Medical Center, University of California, San Francisco, Imperial College London, National Jewish Health
Language: English
Subfield: Pulmonary and Respiratory Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $808
OpenAlex ID: W4399854030
