Elucidation of Potential Anti-Inflammatory Targets of Machilus macrantha (Gulmavu) by Utilizing GC–MS, Network Pharmacological Analysis, and Experimental Validation
摘要
This study aimed to investigate the volatile phytoconstituents of Machilus macrantha extracts for their anti-inflammatory potential and understanding the possible anti-inflammatory targets through Network pharmacological analysis.
MethodsHexane extracts were prepared from the leaves and barks of M. macrantha and GC–MS analysis was carried out to identify volatile phytoconstituents. Network pharmacological analysis of the phytoconstituents was performed using tools such as Swiss Target Prediction, GeneCards, and STRING, with interaction networks constructed in Cytoscape 3.10.0. Enriched molecular pathways involved in inflammation were predicted using ShinyGO. Molecular docking studies were conducted with Schrödinger Maestro, and RT-qPCR analyses were performed to validate the in silico findings.
ResultsOverall, 55 phytoconstituents were identified from the hexane extracts. Network pharmacology revealed eight key anti-inflammatory targets, among which PTGS2 (COX-2) showed the highest enrichment. The arachidonic acid metabolism pathway exhibited the greatest fold enrichment with the lowest p-values. Leaf hexane extract demonstrated significant inhibition of the COX-2 gene at the concentrations of 0.5, 10, 25, and 50 μg/mL in RAW 264.7 cells (p < 0.0001), which validates the in silico findings. Molecular docking indicated that β-eudesmol, a sesquiterpene that is identified in the same extract, has the strongest binding affinity towards COX-2.
ConclusionAnti-inflammatory activity of M. macrantha is mediated through arachidonic acid metabolism pathway and likely by COX-2 inhibition. Further investigation of M. macrantha extracts may result lead compounds for the development of novel anti-inflammatory agents.