The overall goal of SCRIPT2 Research Project 2 is to develop a computational model that integrates host response patterns, pathogen genomic features, and pulmonary microbiome dynamics to predict clinical outcomes in patients with hospital-acquired pneumonia (HAP) and ventilator-associated pneumonia (VAP). Despite the use of advanced antibiotics, these infections remain associated with high mortality rates, emphasizing the need for deeper biological insights.
Project 2 will focus on four critical areas:
1) identifying host inflammatory response biosignatures that correlate with clinical improvement or deterioration.
2) characterizing bacterial genomic and pathogen-specific features.
3) analyzing pulmonary microbiome consortia, including bacteria, viruses, and fungi, that influence disease progression.
4) integrating these findings with clinical metadata to create predictive computational models.
Transcriptional profiling of flow-sorted resident alveolar macrophages
from mechanically ventilated patients with suspectedpneumonia.