Single-Cell Resolution of Cellular Damage Illuminates Disease Progression

Abstract

Degenerative diseases feature progressive accumulation of cellular damage, leading to impaired organ function. Capturing such gradual decline of individual cells in vivo remains challenging. Here, we present a universal framework for quantifying damage at single-cell resolution, to uncover molecular trajectories of degeneration. This method enables the detection of progressive damage within cell populations under physiological and pathological conditions. We developed the Podocyte Damage Score (PDS) and Hepatocyte Damage Score (HDS) to monitor deterioration in kidney glomerulosclerosis and liver steatosis. The application of these scores to murine and human datasets quantified cellular damage across disease models and distinguished varying degrees of damage even in unperturbed samples. The PDS revealed circadian gene expression dysregulation as a consequence of podocyte injury, while the HDS identified a threshold of hepatocyte damage leading to senescence and metabolic dysfunction. The approach provides a scalable tool for decoding disease progression and identifying therapeutic targets across degenerative disorders.