Allium chinense Antiplatelet Aggregation Components Identified via Molecular Networking

A 2026 study by Yan Xu identified antiplatelet aggregation-active components in Allium chinense G. Don. The research used a targeted molecular networking approach to characterize 36 steroidal saponins, with 15 selected for network pharmacology analysis. The dataset is a 20.9 MB DOCX file containing supplementary materials from this phytochemical investigation.

Use Cases

• Identifying potential bioactive steroidal saponins based on the 36 components characterized via molecular networking.
• Studying antiplatelet aggregation mechanisms based on the described PI3K/Akt pathway inhibition.
• Comparing the efficacy of different solvent extraction methods (water, methanol) for isolating active compounds.
• Validating targeted molecular networking strategies for the discovery of specific compound classes in medicinal plants.

Strengths

• Identifies 36 specific steroidal saponins from Allium chinense.
• Reports antiplatelet aggregation activity for 15 selected saponins.
• Includes experimental results from CCK-8 assays on MEG-01 cells at concentrations of 5–20 μM.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The primary data format is a DOCX document, which may require extraction for computational analysis.

Provenance

Source

figshare, authored by Yan Xu.

Collection Method

Laboratory study employing targeted molecular networking, chemical analysis, and cell-based assays.

Freshness

Last updated 2026-05-07 05:42:15.