Evidence map›Paper›PMID 42803750›Full record

ArticleCNS neuroscience & therapeutics2026

Explore the Mechanism of Xiaoyaosan for Treatment of Bipolar Disorder Based on Network Pharmacology, Experimental Validation and Molecular Docking.

Man Chen, Nana Ding, Xingmin Qiu, Lan Li, Yali Guo, Rongyanqi Wang, Xiaowei Mo, Tan Zou, Shangzhen Yu, Xiaojuan Li and 1 more

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Man ChenAffiliated Jiangmen Traditional Chinese Medicine Hospital of Jinan University, Jiangmen, People's Republic of China.ORCID https://orcid.org/0009-0000-1624-8885
Nana DingGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, People's Republic of China.
Xingmin QiuGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, People's Republic of China.
Lan LiHenan Province Hospital of Traditional Chinese Medicine, Zhengzhou, People's Republic of China.
Yali GuoGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, People's Republic of China.
Rongyanqi WangSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Xiaowei MoGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, People's Republic of China.
Tan ZouGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, People's Republic of China.
Shangzhen YuAffiliated Jiangmen Traditional Chinese Medicine Hospital of Jinan University, Jiangmen, People's Republic of China.
Xiaojuan LiGuangzhou Key Laboratory of Formula-Pattern of Traditional Chinese Medicine, School of Traditional Chinese Medicine, Jinan University, Guangzhou, People's Republic of China.
Jiaxu ChenSchool of Chinese Medicine, Beijing University of Chinese Medicine, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0002-5570-6233

Funding

China Postdoctoral Science Foundation 2025M783982Fundamental Research Funds for the Central Universities of Jinan University 21623221Huang Zhendong Research Fund for Traditional Chinese Medicine of Jinan University 201911National Key Research and Development Program of China 2023YFE0209500National Natural Science Foundation of China 82174278National Natural Science Foundation of China 82274410National Natural Science Foundation of China 82430126National Natural Science Foundation of China 82505410
6 · The paper itself

Abstract

aim of the studyXiaoyaosan (XYS) has significant anti-inflammatory effects and is widely used for treating depression. However, the multitarget mechanism of XYS in the treatment of bipolar disorder (BD) remains unexplored. In this study, network pharmacology, molecular docking, and experimental validation were integrated to elucidate the mechanisms of XYS and its therapeutic efficacy in BD.

methodsFirst, network pharmacology was employed to elucidate the anti-BD mechanism of XYS. Second, the therapeutic effects of XYS against BD were investigated in a BD mouse model induced by Ank3 gene knockdown combined with chronic social defeat stress (CSDS). Finally, the targets from these predictions were validated in a series of experiments and molecular docking.

resultsFirst, on the basis of network pharmacology, 120 predicted intersection targets between the targets of XYS and BD-related targets were identified. The key core targets of the anti-BD activity of XYS were STAT3, AKT1, IL-6, and MAPK3. Thus, inflammation pathways might play a critical role in the anti-BD effects of XYS. Second, XYS clearly inhibited BD activity, which was manifested by a significant alleviation of manic hyperactivity behavior and a significant improvement in depressive hyperactivity behavior in BD model mice. Additionally, the up-regulation of STAT3, AKT1, IL-6, and MAPK3 was improved by XYS intervention in a BD mouse model. Moreover, molecular docking results also revealed that XYS showed strong stable binding to key core targets from network pharmacological predictions.

conclusionsXYS can markedly improve BD through modulation of the expression of the key multitargets STAT3, AKT1, IL-6, and MAPK3 in inflammation pathways. These novel findings elucidate the anti-BD mechanism of XYS from the perspective of multiple targets and pathways.

Indexed as

Bipolar DisorderDrugs, Chinese HerbalMolecular Docking SimulationNetwork PharmacologyAnimalsDisease Models, AnimalMaleMiceMice, Inbred C57BLDrugs, Chinese Herbalxiaoyaosanbipolar disordermechanismmolecular dockingnetwork pharmacologyXiaoyaosan

Identifiers

PMID42803750
PMCPMC13618484

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.