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Updated: Jan 9, 2026

Bronchoalveolar Lavage of Murine Lungs to Analyze Inflammatory Cell Infiltration
Published on: May 4, 2017
Development and validation of a bronchoalveolar lavage genomic classifier for acute cellular rejection
S Samuel Weigt1, Jin Zhou2, Tomoki Okuno2
1Department of Medicine, David Geffen School of Medicine, University of California, Los Angeles, CA, USA.
Background:
Acute cellular rejection (ACR) is the main risk factor for chronic lung allograft dysfunction (CLAD), but diagnosis requires invasive transbronchial biopsy (TBB). We previously demonstrated the feasibility of bronchoalveolar lavage cell pellet (BAL-cp) gene expression for ACR diagnosis. We sought to develop and validate a genomic classifier for ACR in a multicenter cohort.
Methods:
We performed RNA-seq on 806 BAL-cp from 181 lung transplant recipients enrolled in CTOT-20. Differential expression was based on fold difference >2.0 and False Discovery adjusted p-value <0.05. Samples were randomly split 80:20 into training and testing sets. A Random Forest model was optimized for area under the curve (AUC), and the threshold for genomic ACR was selected for classification accuracy. We validated performance in an independent single-centre cohort. Cox models evaluated risk for CLAD.
Findings:
From 37 clinically significant ACR and 151 stable control samples, we identified 62 ACR genes, indicating upregulation of T-cell receptor signalling, and downregulation of CTLA4 signalling in cytotoxic lymphocytes, among other enriched pathways. A 31-gene Random Forest model's AUC was 0.99 (SE 0.0053) in the training set, and 0.72 (SE 0.0874) in the test set. At a probability threshold of 0.396, accuracy for distinguishing clinically significant ACR cases from stable controls was 93.1% (specificity 95.4%, sensitivity 83.8%). In the independent validation cohort, accuracy was 82.1% (specificity 87.5%, sensitivity 73.3%). The model classified 138 (17.1%) CTOT-20 samples as genomic ACR. Late genomic ACR (≥90 days posttransplant) associated with increased CLAD risk (HR 2.52, 95% CI 1.47-4.34, p < 0.001).
Interpretation:
A BAL-cp genomic classifier can identify ACR, predict CLAD risk, and may be a less invasive alternative to TBB after lung transplant.
Funding:
This study was supported by the National Institute of Allergy and Infectious Diseases awards U01AI113315 and U01AI0635594, the Cystic Fibrosis Foundation award PALMER19AB0, and the Saul and Joyce Brandman Foundation Center for Lung Health at UCLA.
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