Evidence map›Paper›PMID 40547671›Full record

ArticleACS omega2025

Integrative Multi-omics and Network Pharmacology Reveal the Mechanisms of Xiaoyaosan in Treating Depression.

Huizheng Zhu, Shengyu Cai, Shaoyi Huang, Liyuan Su, Siwei Zhang

Abstract read
In one paragraph

Article in ACS omega, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

5 authors.

Huizheng ZhuDepartment of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), 1017 Dongmen North Road, Shenzhen, Guangdong 518020, China.ORCID https://orcid.org/0000-0002-8471-585X
Shengyu CaiDepartment of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), 1017 Dongmen North Road, Shenzhen, Guangdong 518020, China.ORCID https://orcid.org/0009-0005-7999-8815
Shaoyi HuangDepartment of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), 1017 Dongmen North Road, Shenzhen, Guangdong 518020, China.
Liyuan SuDepartment of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), 1017 Dongmen North Road, Shenzhen, Guangdong 518020, China.
Siwei ZhangDepartment of Traditional Chinese Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), 1017 Dongmen North Road, Shenzhen, Guangdong 518020, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the continued rise in the incidence and prevalence of depression globally, treatment options involving traditional Chinese medicine (TCM) are receiving increasing attention. Xiaoyaosan, which is commonly used to treat depression, has been used in clinical practice for more than 1000 years in China. Our previous research has confirmed that Xiaoyaosan (XYS), an herbal TCM prescription, can improve depressive-like behavior by regulating the gut microbes closely related to immune-inflammatory processes, providing a potential basis for the antidepressant actions of XYS. The aim of this research is to investigate the antidepressant mechanism of XYSspecifically, we examined the downregulation of the PI3K/Akt/mTOR signaling pathway, restoration of Th17/Tregs, and reduction of inflammatory responseusing network pharmacology, transcriptomics, 4D proteomics, molecular docking, molecular dynamics simulation, and animal experiments. The chemical components of XYS were obtained using the PubChem database and HERB. The ADMET lab 3.0 drug absorption, distribution, metabolism, excretion, and toxicity prediction tool was used to screen the potential ingredients of the compound. The Swiss Target Prediction and SEA TCM ingredient target prediction platforms were used to predict the targets of potential active ingredients. The STRING database was used for protein-protein interaction (PPI) network analysis of the target. A chronic immobilization stress (CIS) rodent model of depression was established using male Sprague-Dawley rats (

Identifiers

PMID40547671
PMCPMC12177743

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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.