Unveiling the Mechanism Underlying Diyu Shengbai Tablet in Remediating Leukopenia Based on Network Pharmacology, Metabonomics, and Fecal Transcriptomics

We aimed to integrate network pharmacology, metabonomics, and fecal transcriptomics to elucidate the mechanism of action of Diyu Shengbai Tablets (DST) in leukopenia treatment. Key bioactive components and core targets of DST in leukopenia were identified using network pharmacology. Spleen metabonomics, fecal transcriptomics, and MetOrigin analysis were employed to investigate potential mechanisms. Molecular docking, molecular dynamics simulations, and enzyme-linked immunosorbent assay were performed to validate findings. Network pharmacology predicted Hypericin and Quercetin-3-galactoside-7-glucoside as major active constituents of DST. metabonomic analysis identified alterations in 133 differential metabolites in the spleen, with linoleic acid metabolism as the primary affected pathway. 16S rRNA sequencing indicated normalization of Lactobacillus abundance. Molecular docking and dynamics simulations showed low binding free energies between active compounds (e.g., Hypericin) and targets such as PIK3CA and SRC. Serum levels of Mouse interleukin-6 and Granulocyte colony-stimulating factor were elevated following DST intervention. DST modulates spleen metabolic profiles in leukopenic mice, restores gut microbial composition, and exerts therapeutic effects by regulating linoleic acid metabolism and influencing the PI3K-Akt signaling pathway. These findings provide a foundation for further exploration of multi-target mechanisms in traditional Chinese medicine for leukopenia management.

Authors

Institutions

Publication Details

Journal
Chemistry & Biodiversity
Published
2025-10-20
DOI
https://doi.org/10.1002/cbdv.202501772
Citations
1
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Unveiling the Mechanism Underlying Diyu Shengbai Tablet in Remediating Leukopenia Based on Network Pharmacology, Metabonomics, and Fecal Transcriptomics

Erbing Wang, Tingli Qu, Yuying Zhao, Yan Yang et al.
1 citations
Chemistry & Biodiversity
Metabolomics and Mass Spectrometry Studies
0.81
article

Unveiling the Mechanism Underlying Diyu Shengbai Tablet in Remediating Leukopenia Based on Network Pharmacology, Metabonomics, and Fecal Transcriptomics

Erbing Wang, Tingli Qu, Yuying Zhao, Yan Yang, Ying Wang
article en
1 citations

Abstract

We aimed to integrate network pharmacology, metabonomics, and fecal transcriptomics to elucidate the mechanism of action of Diyu Shengbai Tablets (DST) in leukopenia treatment. Key bioactive components and core targets of DST in leukopenia were identified using network pharmacology. Spleen metabonomics, fecal transcriptomics, and MetOrigin analysis were employed to investigate potential mechanisms. Molecular docking, molecular dynamics simulations, and enzyme-linked immunosorbent assay were performed to validate findings. Network pharmacology predicted Hypericin and Quercetin-3-galactoside-7-glucoside as major active constituents of DST. metabonomic analysis identified alterations in 133 differential metabolites in the spleen, with linoleic acid metabolism as the primary affected pathway. 16S rRNA sequencing indicated normalization of Lactobacillus abundance. Molecular docking and dynamics simulations showed low binding free energies between active compounds (e.g., Hypericin) and targets such as PIK3CA and SRC. Serum levels of Mouse interleukin-6 and Granulocyte colony-stimulating factor were elevated following DST intervention. DST modulates spleen metabolic profiles in leukopenic mice, restores gut microbial composition, and exerts therapeutic effects by regulating linoleic acid metabolism and influencing the PI3K-Akt signaling pathway. These findings provide a foundation for further exploration of multi-target mechanisms in traditional Chinese medicine for leukopenia management.

Chemistry & BiodiversityVol. 23(1)
Shanxi Medical University (CN), Taiyuan University of Science and Technology (CN), Taiyuan University of Technology (CN)
Openalex Percentile: Top 22%
Metabolomics and Mass Spectrometry Studies
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.