Airborne particulate matter 10 (PM10) induces lung inflammation. However, interventions remain limited. We evaluated the protective effects of Chrysanthemum zawadskii var. latilobum (CZL) against PM10-induced lung injury using an integrated strategy combining phytochemical profiling, network pharmacology, deep-learning molecular docking, and in vivo/in vitro validation. Liquid chromatography-tandem mass spectrometry (LC-MS/MS) profiling identified 52 phytochemicals in the 50% ethanol CZL extract. The network pharmacology analyses converged on the PI3K-AKT and mitogen-activated protein kinase (MAPK) signaling pathways. Molecular docking predicted strong binding affinities (ΔG ≤ -7 kcal/mol) for flavonoids such as luteolin, quercetin, apigenin, and eupatilin toward PIK3CA, AKT1, and MAPK1/3. Our PM10-induced lung inflammation model systems validated that CZL reduced PM10-induced phosphorylation of AKT and ERK, thereby dampening downstream cytokine expression, including tumor necrosis factor (TNF)-α, interleukin (IL)-1β, and IL-6. Collectively, CZL exerts anti-inflammatory effects in pollution-related lung injury and suggest its potential as a functional food candidate for improving respiratory health.
Keywords: Chrysanthemum zawadskii; In silico; Lung inflammation; Network pharmacology; Particulate matter 10 (PM10).
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