Evidence map›Paper›PMID 39957155›Full record

ArticleJournal of traditional Chinese medicine = Chung i tsa chih ying wen pan2025

Quantitative proteomic analysis of the brain reveals the potential antidepressant mechanism of Jiawei Danzhi Xiaoyao San in a chronic unpredictable mild stress mouse model of depression.

L I Yajing, Wang Baoying, Shao Wenxue, L U Shuaifei, S U Pan, Bai Ming, X U Erping, L I Yucheng

Abstract read
In one paragraph

Article in Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Intranasal essential oils in therapy: advances in clinical applications and delivery mechanisms.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2026
    Review
  3. 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

8 authors.

L I YajingCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Zhengzhou 450046, China.
Wang BaoyingCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Zhengzhou 450046, China.
Shao WenxueHenan Collaborative Innovation Center for Research and Development on the Whole Industry Chain of Yu-Yao, Zhengzhou 450046, China.
L U ShuaifeiHenan Collaborative Innovation Center for Research and Development on the Whole Industry Chain of Yu-Yao, Zhengzhou 450046, China.
S U PanCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Zhengzhou 450046, China.
Bai MingCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Zhengzhou 450046, China.
X U ErpingHenan Collaborative Innovation Center for Research and Development on the Whole Industry Chain of Yu-Yao, Zhengzhou 450046, China.
L I YuchengCollaborative Innovation Center of Research and Development on the Whole Industry Chain of Yu-Yao, Henan Province, Zhengzhou 450046, China.

Funding

Natural Science Excellent Youth Fund of Henan Province: the Mechanism of Baicalin Regulates the GSK3B-Mediated Axoplasmic Transport in the Treatment of Depression 202300410249Science and Technology Research Project of Henan Province: Study on the Antidepressant Mechanism of Jiawei Danzhi Xiaoyaosan based on the NOD-like Receptor Thermal Protein Domain-associated Protein and Tripartite Motif-containing Protein 31 Ubiquitination Pathway 222102310233Study on the Mechanism of Jiawei Danzhi Xiaoyaosan in the Treatment of Depression by Regulating M1/M2 Polarization and Microglia Autophagy 232102310419the National Natural Science Foundation of China: Study on the Biological Basis of Jiawei Danzhi Xiaoyaosan in Treatment of Depression based on Network Pharmacology and Proteomics 81973739
6 · The paper itself

Abstract

objectiveTo reveal the antidepressant mechanisms of Jiawei DanZhiXiaoYaoSan (,JD) in chronic unpredictable mild stress (CUMS)-induced depression in mice.

methodsUsing the CUMS mouse model of depression, the antidepressant effects of JD were assessed using the sucrose preference test (SPT), forced swimming test (FST), and tail suspension test (TST). Tandem mass tag (TMT)-based quantitative proteomic analysis of the brain was performed following JD treatment. Hierarchical clustering, Gene Ontology function annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, and protein-protein interactions (PPIs) were used to analyze differentially expressed proteins (DEPs), which were further validated using quantitative real-time polymerase chain reaction (qRT-PCR) and Western blotting.

resultsBehavioral tests confirmed the anti-depressant effects of JD, and bioinformatics analysis revealed 59 DEPs, including 33 up-regulated and 26 down-regulated proteins, between the CUMS and JD-M groups. KEGG and PPI analyses revealed that neuro-filament proteins and the Ras signaling pathway may be key targets of JD in the treatment of depression. qRT-PCR and Western blotting results demonstrated that CUMS reduced the protein expression of neurofilament light (NEFL) and medium (NEFM) and inhibited the phosphorylation of extracellular regulated kinase 1/2 (ERK1/2), whereas JD promoted the phosphorylation of ERK1/2 and up-regulated the protein expression of NEFL and NEFM.

conclusionsThe antidepressant mechanism of JD may be related to the up-regulation of p-ERK1/2 and neurofilament proteins.

Indexed as

Antidepressive AgentsBrainDepressionDrugs, Chinese HerbalStress, PsychologicalAnimalsDisease Models, AnimalHumansMaleMiceProteomicsAntidepressive AgentsDrugs, Chinese Herbaldepressionintermediate filamentsJiawei Danzhi Xiaoyaosanmitogen-activated protein kinasesproteomics

Identifiers

PMID39957155
PMCPMC11764943

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Registered trials

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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 OpenQuestion graph.