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Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia
Published on: April 7, 2023
Integrating GBS-Derived SNP Markers with Phytochemical Profiling and Anti-Obesity Enzyme Inhibition in Phyllanthus
Pimchanok Satapoomin1, Thiplada Juntranon2, Siriporn Sripinyowanich1
1Department of Science and Bioinnovation, Faculty of Liberal Arts and Science, Kamphaeng Saen Campus, Kasetsart University, Nakhon Pathom 73140, Thailand.
Abstract:
Phyllanthus emblica L. is a nutraceutically important medicinal plant; however, the relationship between genetic variation and bioactive potential remains poorly understood. This study integrates genome-wide SNP analysis, phytochemical profiling, and functional bioassays to investigate cross-scale differentiation among fourteen cultivars. Genotyping-by-sequencing (GBS) identified 5644 high-quality SNPs from an initial dataset of 9018 SNPs, revealing moderate but structured genomic divergence (0.0275-0.0845). Phytochemical analysis of five commercial cultivars demonstrated significant variation (p < 0.05) in total phenolic content (6.58-15.53 mg GAE/gDW) and tannin content (284.52-333.81 mg TAE/gDW). Functional assays revealed strong anti-obesity potential, with crude extracts exhibiting superior α-glucosidase inhibition (up to 98.75%), while tannin-enriched extracts showed enhanced pancreatic lipase inhibition (up to 46.26%). Importantly, enzyme inhibition did not correlate directly with total phenolic or tannin content, indicating compound-specific bioactivity. LC-MS/QTOF analysis identified flavonoids (e.g., quercetin and kaempferol), phenolic acids, and other candidate metabolites potentially associated with enzyme inhibitory activity. These findings demonstrate a non-proportional association among genomic variation, metabolite composition, and functional bioactivity, suggesting that bioactivity may be influenced more strongly by compound-specific metabolite composition than by genome-wide similarity alone.
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