Necroptosis-related subtypes are associated with bronchiectasis in pulmonary non-tuberculous mycobacteria-infected patients: a perspective based on transcriptomic analysis.

The aim of this study was to explore the potential mechanisms responsible for the different manifestations of bronchiectasis in patients with pulmonary non-tuberculous mycobacteria (pNTM) infection. We found that the necroptosis level increased significantly after NTM infection. Further, the 31 pNTM-infected patients were classified into two subtypes based on necroptosis-related genes (NRGs) by unsupervised cluster analysis. After that, we compared the differences in clinical parameters, immune cell infiltration, and gene expression between the two subtypes. We observed that the high-necroptosis subtype possessed higher CT scores for bronchiectasis extent (P = 0.008) and severity (P = 0.023). And, more neutrophil infiltration in the high-necroptosis subtype was demonstrated both by the CIBERSORT algorithm and by blood neutrophil count (P = 0.001). Next, 688 differentially expressed genes (DEGs) between two subtypes were identified. To explore the portion in DEGs that might contribute to bronchiectasis, we intersected the DEGs with two gene modules. These two gene modules were identified as the most associated with CT scores for bronchiectasis extent and severity by weighted gene co-expression network analysis (WGCNA). Ninety-three intersection genes were obtained. Finally, 7 hub genes including ACSL1, ANXA3, DYSF, HK3, SLC11A1, STX11, and TLR4 were further screened out by machine learning algorithms and protein-protein interaction network analysis. These results suggested that the differential levels of necroptosis in pNTM patients might lead to differential extent and severity of bronchiectasis on radiographic imaging. This process might be associated with neutrophil infiltration and the involvement of seven hub genes.