Therefore, the objective of this study was to (a) select a useful resource of perilla leaves (P. frutescens L.)by utilizing a mass screening system using three important biomarkers (cell viability and concentrations of nitric oxide [NO] and mucin 5 AC [MUC5AC]) to identify the resource with beneficial effects against PM2.5‐induced respiratory disease among the 56 perilla leaf types; (b) to evaluate the respiratory protective, anti‐inflammatory, and mucus hypersecretion and fibrosis inhibitory effects of the selected resource in PM2.5‐induced RPMI 2650 cells. Here, MUC5AC is linked to respiratory system disorder.