ABSTRACT
Bronchial asthma (asthma) is a complex heterogeneous disease, with a high rate of missed diagnosis and misdiagnosis. Repeated attacks of bronchial asthma can cause complications such as chronic obstructive pulmonary disease, emphysema, and pulmonary heart disease. In recent years, mass-spectrometry-based metabolomics has developed rapidly. It can sensitively identify metabolic fluctuations and pathological changes in patients with asthma. By analyzing the molecules produced by various metabolic pathways, it can help us to find relevant biomarkers and provide a better method for early diagnosis and severity assessment of asthma. We reviewed and analyzed the literature of metabolomics technology in disease progression, early diagnosis and severity assessment, so as to provide reference for asthma research.