High-resolution multimodal imaging reveals spatial and temporal heterogeneity of airway mucus plugging in mice with muco-obstructive lung disease

Abstract

Abstract Mucus plugging is a hallmark of muco-obstructive lung diseases; however, the spatiotemporal dynamics of plug formation remain poorly understood. We used a multimodal high-resolution imaging approach to study mucus plugging in newborn (0–1 days), juvenile (13–16 days), and adult (49–59 days) βENaC-transgenic mice (βENaC-tg, n  = 24), a model of muco-obstructive lung disease, in comparison to age-matched wild-type mice ( n  = 28). Micro-computed tomography (µCT) enabled whole lung mucus scoring on a scale from 0 (no obstruction) to 2 (> 50% obstruction) using an extended murine airway tree nomenclature. A subset of βENaC-tg lungs (5 juvenile, 5 adult) underwent localised synchrotron radiation-based computed tomography (SRCT) for segmentation-based calculation of mucus area and contact ratios as indicators of luminal obstruction and airway wall adherence. µCT-guided scanning electron microscopy (SEM) provided nanoscale visualisation of mucus plugs on selected βENaC-tg lung samples (3 juvenile). µCT revealed age-dependent, heterogeneous mucus plug formation, with significantly increased mucus scores in juvenile (0.45 ± 0.26) and adult (0.30 ± 0.17) βENaC-tg compared to wild-type mice (0.01 ± 0.02 with P <  0.01, and 0.01 ± 0.02 with P  < 0.05, respectively). SRCT analysis showed a strong positive correlation between mucus area and contact ratios ( r  ≥ 0.80), while SEM revealed the mucus plug ultrastructure. This multimodal imaging approach highlights the spatiotemporal heterogeneity of mucus plugging, forming a basis for future research on targeted therapeutic strategies for muco-obstructive lung diseases.