Transcriptomic Profiling in <i>Mycobacterium avium</i> Complex Pulmonary Disease Identifies Clusters Linked to Disease Severity and Neutrophil Activation.

Abstract

<i>Mycobacterium avium</i> complex (MAC) pulmonary disease presents with heterogeneous clinical phenotypes. This study aimed to elucidate the heterogeneity of MAC pulmonary disease by analyzing gene expression profiles in whole blood cells and identifying factors contributing to its pathogenesis, treatment response, and disease severity. A total of 100 patients with MAC pulmonary disease newly treated with guideline-based therapy (GBT) were analyzed prospectively, and RNA-sequencing was performed on whole blood cells. Unsupervised cluster analysis, differentially expressed gene (DEG) analysis, and logistic least absolute shrinkage and selection operator regression were performed to identify key genes of the severe cluster. The expressions of these genes were validated in mice infected with <i>M. avium</i> bacteria. The cluster analysis identified three distinct patient clusters, each with unique clinical characteristic and treatment responses. Notably, cluster 3 (C3) showed high neutrophil counts, older age, severe disease manifestations, and poor survival, despite sputum culture conversion. DEG analysis identified six neutrophil-related genes, <i>FTH1</i>, <i>C19orf59</i> (<i>MCEMP1</i>), <i>S100A9</i>, <i>SELL</i>, <i>ISG15</i>, and <i>IFITM1</i>, as characteristic of C3. Furthermore, high expression of these genes correlated significantly with poor survival in both the present cohort and a previously reported cohort of pulmonary nontuberculous mycobacterial disease patients.<i>M. avium</i> infection increased <i>S100A9</i> expression, particularly in old, but not young, mouse lungs, suggesting that increased <i>S100A9</i> expression is associated with aging and infection. Gene expression profiling in MAC pulmonary disease patients identified three distinct clusters, with the most severe cluster characterized by neutrophil activation. Six genes were associated with disease severity and prognosis, though their causal roles require further investigation.