Research from University of Texas Health San Antonio Yields New Study Findings on Bronchopulmonary Dysplasia (Leveraging transcriptomics to develop bronchopulmonary dysplasia endotypes: a concept paper).

A new study from the University of Texas Health San Antonio has explored bronchopulmonary dysplasia (BPD), a common complication of extreme prematurity. The researchers used an unsupervised machine learning approach to identify BPD subclasses, or endotypes, based on gene expression data. They found that T helper 17 cell differentiation was the most significant pathway differentiating the BPD endotypes. The study suggests that bioinformatic analyses can help identify BPD endotypes that are associated with clinical definitions of the disease. [Extracted from the article]