ArticleChinese medicine2026
Integrating metabolomics and machine learning to forecast anti-inflammatory and antioxidant activities in D. officinale leaves.
Article in Chinese medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Metabolomics-Based Analysis of Quality Differences inMetabolites · 2026Article
- Metabolomic Profiling Reveals Geographical Origin, Tissue-Specific Specialization, and Environmental Plasticity in Secondary Metabolism ofMetabolites · 2026Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundDendrobium officinale (D. officinale) leaves, rich in bioactive compounds comparable to those in stems, remain underutilized as agricultural byproducts. PURPOSE: This study aims to establish an ML (machine learning)-driven metabolomic framework to evaluate seasonal variations in bioactive compounds within D. officinale leaves, identify germplasm-specific pharmacological activities, and determine core components driving anti-inflammatory and antioxidant effects.
methodsAn integrated approach combining dynamic metabolomic profiling (UHPLC-QTOF-MS, RP-HPLC, and UPLC-QqQ-MS), in vitro bioassays (TNF-α/IL-6 suppression assays and ABTS radical scavenging assay), and ML modeling was employed.
resultsPhenolics, flavonoids, terpenes, and B-vitamins peaked in October-November, while amino acids accumulated until December. Despite this, July-harvested leaves exhibited maximum anti-inflammatory and antioxidant activity. Random Forest Regression (RFR) models identified vanillic acid 4-β-D-glucoside, schaftoside, and rutin as key bioactive contributors, validated experimentally.
conclusionThis ML-enhanced metabolomic strategy advances the quality assessment and germplasm optimization of D. officinale leaves by linking dynamic phytochemical profiles to bioactivity. The identification of July as the optimal harvest period and critical bioactive compounds underscores the approach's utility in nutraceutical and pharmaceutical applications, promoting sustainable utilization of agricultural byproducts.
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