Emerging Applications of Metabolomics to Assess the Efficacy of Traditional Chinese Medicines for Treating Type 2 Diabetes Mellitus

Diabetes is a common and complex disease that can exacerbate the complications related to cardiovascular disease, and this is especially true for type 2 diabetes mellitus (T2DM). In addition to the standard pharmacological therapies, T2DM has also been treated with nonconventional regimens such as traditional Chinese medicine (TCM), e.g., herbal medicines and TCM prescriptions, although the mechanisms underlying the therapeutic benefits remain unclear. In this regard, many studies have used metabolomics technology to elucidate the basis for the efficacy of TCM for T2DM. Metabolomics has recently attracted much attention with regard to drug discovery and pharmacologically relevant natural products. In this review, we summarize the application of metabolomics to the assessment of TCM efficacy for treating T2DM. Increasing evidence suggests that the metabolic profile of an individual patient may reflect a specific type of T2DM syndrome, which may provide a new perspective for disease diagnosis. In addition, TCM has proved effective for countering the metabolic disorders related to T2DM, and this may constitute the basis for TCM efficacy. Therefore, further determining how TCM contributes to the reversal of metabolic disorders, such as using network pharmacology or by assessing the contribution of host-gut microbiota interactions, will also provide researchers with new potential targets for pharmacologic-based therapies.

Automated summary

Metabolomics technology has been utilized to elucidate the efficacy of traditional Chinese medicine (TCM) in treating type 2 diabetes mellitus (T2DM), indicating that the metabolic profile of an individual may reflect a specific type of T2DM syndrome and provide new perspectives for disease diagnosis. TCM has proven effective against metabolic disorders related to T2DM, serving as a potential basis for pharmacologic-based therapies and offering new targets for further research utilizing network pharmacology or assessing host-gut microbiota interactions.