Xiaoyao San against depression via glia-mediated neuroinflammation using network pharmacology and experimental validation

Xiaoyao San (XYS) has been proven effective in treating depression, but its underlying mechanisms remain to be elucidated. This study aims to explore the key phytochemicals and mechanisms of the anti-depressant effects of XYS. We focus on the 16 blood compounds of XYS identified through the UPLC-MS/MS method. We also validated the results of the network pharmacology analysis using an lipopolysaccharide (LPS)-induced depression mouse model and the BV2 microglial cell line. In silico prediction, atractylenolide I, ferulic acid, kaempferol, quercetin, and vanillic acid exhibit good oral bioavailability, safety, and ADMET properties. The results of GSEA and GO enrichment analysis showed that neuroinflammation is the key mechanism of the anti-depressant effect of XYS. Kaempferol, quercetin, atractylenolide II, z-ligustilide, paeoniflorin, saikosaponin A, atractylenolide III and glycyrrhizic acid (GA) were identified as the main phytochemicals targeting neuroinflammation. XYS gavage treatment significantly ameliorated LPS-induced depressive-like behaviors in mice by reducing neuroinflammation (microglial activation) in the prefrontal cortex. The reduction of LPS-induced pro-inflammatory cytokine levels by GA was also validated in BV2 cells, and its mechanism is associated with JNK pathway. The phytochemicals of XYS exhibit favorable safety and pharmacological parameters, with targeting neuroinflammation being the key mechanism underlying its anti-depressant effects.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-12
DOI
https://doi.org/10.1038/s41598-025-23296-1
Primary Topic
Tryptophan and brain disorders
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Xiaoyao San against depression via glia-mediated neuroinflammation using network pharmacology and experimental validation

Ying‐Yan Fang, Wan-ying He, Man‐Fei Deng, Peng Zeng et al.
Scientific Reports
Tryptophan and brain disorders
article

Xiaoyao San against depression via glia-mediated neuroinflammation using network pharmacology and experimental validation

Ying‐Yan Fang, Wan-ying He, Man‐Fei Deng, Peng Zeng, Sijie Tan, Amanda Jiang, Chaohui Li, Xin-Yi Liu, Yi-Zhi Yan
article en

Abstract

Xiaoyao San (XYS) has been proven effective in treating depression, but its underlying mechanisms remain to be elucidated. This study aims to explore the key phytochemicals and mechanisms of the anti-depressant effects of XYS. We focus on the 16 blood compounds of XYS identified through the UPLC-MS/MS method. We also validated the results of the network pharmacology analysis using an lipopolysaccharide (LPS)-induced depression mouse model and the BV2 microglial cell line. In silico prediction, atractylenolide I, ferulic acid, kaempferol, quercetin, and vanillic acid exhibit good oral bioavailability, safety, and ADMET properties. The results of GSEA and GO enrichment analysis showed that neuroinflammation is the key mechanism of the anti-depressant effect of XYS. Kaempferol, quercetin, atractylenolide II, z-ligustilide, paeoniflorin, saikosaponin A, atractylenolide III and glycyrrhizic acid (GA) were identified as the main phytochemicals targeting neuroinflammation. XYS gavage treatment significantly ameliorated LPS-induced depressive-like behaviors in mice by reducing neuroinflammation (microglial activation) in the prefrontal cortex. The reduction of LPS-induced pro-inflammatory cytokine levels by GA was also validated in BV2 cells, and its mechanism is associated with JNK pathway. The phytochemicals of XYS exhibit favorable safety and pharmacological parameters, with targeting neuroinflammation being the key mechanism underlying its anti-depressant effects.

Scientific ReportsVol. 15(1)
Hubei Polytechnic University (CN), University of South China (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 65%
Tryptophan and brain disorders
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.