Citation Information: JCI Insight. 2025;10(20):e193975. https://doi.org/10.1172/jci.insight.193975.
Abstract
Bronchopulmonary dysplasia (BPD) remains a debilitating disease in premature infants. The chronic pathogenesis of BPD with complex prenatal and postnatal programming challenges attempts at precisely defining or treating disease. While existing BPD definitions categorize disease severity, a lack of consideration of disease heterogeneity and endotypes has contributed to the failure of clinical trials to improve BPD outcomes. Recent studies have used advanced lung imaging techniques, echocardiography, and lung function tests to identify airway, parenchymal, and vascular BPD endotypes. These endotypes carry different prognoses and require endotype-specific treatment strategies to optimize infant outcomes. In this Review, we focus on the pathogenic mechanisms that specify individual BPD endotypes and discuss how combining biomarkers, functional studies, and artificial intelligence–based characterization of endotypes can inform precision therapies for BPD.
Authors
Megha Sharma, Gangaram Akangire, Noah H. Hillman, Winston M. Manimtim, Mark Ivan Attard, Venkatesh Sampath
