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Proteomic profiling of bronchoalveolar lavage fluid uncovers protein clusters linked to survival in idiopathic forms of interstitial lung disease.
Ngo, Linh T; Rekowski, Michaella J; Koestler, Devin C; Yorozuya, Takafumi; Saito, Atsushi; Azeem, Imaan; Harrison, Alexis; Demoruelle, M Kristen; Boomer, Jonathan; England, Bryant R; Wolters, Paul; Molyneaux, Philip L; Castro, Mario; Lee, Joyce S; Solomon, Joshua J; Koronuma, Koji; Washburn, Michael P; Matson, Scott M.
Afiliação
  • Ngo LT; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
  • Rekowski MJ; Department of Cancer Biology, University of Kansas School of Medicine, Kansas City, KS, USA.
  • Koestler DC; Department of Biostatistics & Data Science, University of Kansas Medical Center, Kansas City, KS, USA.
  • Yorozuya T; Department of Respiratory Medicine and Allergology, Sapporo Medical University, Sapporo, Japan.
  • Saito A; Department of Respiratory Medicine and Allergology, Sapporo Medical University, Sapporo, Japan.
  • Azeem I; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
  • Harrison A; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
  • Demoruelle MK; Division of Rheumatology, University of Colorado School of Medicine, Aurora, CO, USA.
  • Boomer J; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
  • England BR; Division of Rheumatology & Immunology, University of Nebraska Medical Center, Omaha, NE USA and Veterans Affairs Nebraska-Western Iowa Health Care System, Omaha, NE, USA.
  • Wolters P; Division of Pulmonary and Critical Care Medicine, University of California San Francisco, San Francisco, CA, USA.
  • Molyneaux PL; National Heart and Lung Institute, Imperial College London, London UK.
  • Castro M; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
  • Lee JS; Division of Pulmonary Sciences and Critical Care Medicine, University of Colorado, Aurora, CO, USA.
  • Solomon JJ; Division of Pulmonary, Critical Care and Sleep Medicine, National Jewish Health Hospital, Denver, CO.
  • Koronuma K; Department of Respiratory Medicine and Allergology, Sapporo Medical University, Sapporo, Japan.
  • Washburn MP; Department of Cancer Biology, University of Kansas School of Medicine, Kansas City, KS, USA.
  • Matson SM; Division of Pulmonary, Critical Care and Sleep Medicine, University of Kansas School of Medicine, Kansas City, KS, USA.
medRxiv ; 2024 May 31.
Article em En | MEDLINE | ID: mdl-38853991
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:

Proteomic profiling successfully differentiated IIP from controls. k-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.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Idioma: En Revista: MedRxiv Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos