Metabonomics is a popular research method in the area of tumor research. The theoretical basis is that tumor has metabolic characteristics different from normal tissues，and this metabolic changes are closely related to biological phenotype. Metabonomics uses high-throughput detection methods to identify the metabolic differences of biological samples，and combined with bioinformatics analysis，according to the variation in type or content of metabolites，to elucidate the remodeling mechanism of some key biochemical pathways in tumorgenesis and progression. It should be deeply analyzed or precisely intervened，so as to improve our understanding of cancer and the level of diagnosis and treatment. In this paper，we focus on the application of metabonomics in mechanism analysis of glioblastoma that is a subtype with the highest malignancy of glioma，from the perspective of metabonomics，to reveal the changes of some endogenous small molecule metabolites in the pathological process of glioblastoma and to provide important reference for its clinical diagnosis，treatment，prognosis and drug development.