Dandan Xie

Background/Objectives: Dendrobium nobile Lindl. (DNL), a traditional dietary supplement, exhibits therapeutic potential for type 2 diabetes mellitus (T2DM), yet its mechanisms remain unclear. Methods: T2DM was induced in db/db mice. DNL (10 g/kg/d) or metformin (65 mg/kg/d) was administered for 4 weeks. This study integrated pharmacodynamic evaluation and multi-omics to elucidate DNL’s anti-diabetic effects in db/db mice. Results: DNL intervention significantly ameliorated T2DM phenotypes, reducing hyperglycemia, insulin resistance, and renal dysfunction. Metabolomics analysis identified 39 differential metabolites (19 upregulated, 20 downregulated) linked to citrate cycle, oxidative phosphorylation, and glycerophospholipid metabolism, while proteomics revealed 113 differentially expressed proteins, with multi-omics integration highlighting DNL’s modulation of three proteins (Ckm, Ache, Selenbp1) and four metabolites (4-guanidinobutanoic acid, phosphorylcholine, homocysteine, succinic acid) across arginine/proline metabolism, glycerophospholipid metabolism, and sulfur metabolism. Pathway analysis demonstrated DNL’s restoration of dysregulated processes, including inflammation suppression via NF-κB and PI3K-Akt pathways, enhanced insulin sensitivity through glycerophospholipid balance, and mitigation of oxidative stress via sulfur metabolism. Key correlations between metabolites and proteins underscored DNL’s multi-target action. Conclusions: These findings systematically decode therapeutic mechanisms of Dendrobium nobile Lindl., emphasizing its role in rectifying metabolic disorders and inflammatory signaling, thereby providing a molecular basis for its clinical application in T2DM management.

As links between genotype and phenotype, small-molecule metabolites are attractive biomarkers for disease diagnosis, prognosis, classification, drug screening and treatment, insight into understanding disease pathology and identifying potential targets. Metabolomics technology is crucial for discovering targets of small-molecule metabolites involved in disease phenotype. Mass spectrometry-based metabolomics has implemented in applications in various fields including target discovery, explanation of disease mechanisms and compound screening. It is used to analyze the physiological or pathological states of the organism by investigating the changes in endogenous small-molecule metabolites and associated metabolism from complex metabolic pathways in biological samples. The present review provides a critical update of high-throughput functional metabolomics techniques and diverse applications, and recommends the use of mass spectrometry-based metabolomics for discovering small-molecule metabolite signatures that provide valuable insights into metabolic targets. We also recommend using mass spectrometry-based metabolomics as a powerful tool for identifying and understanding metabolic patterns, metabolic targets and for efficacy evaluation of herbal medicine.