Evidence map›Paper›PMID 32166674›Full record

ArticleCurrent medical science2020

Network Pharmacology-based Research of Active Components of Albiziae Flos and Mechanisms of Its Antidepressant Effect.

Wei-Chen Xiong, He-Zhen Wu, Yi-Yi Xiong, Bo Liu, Zhou-Tao Xie, Song-Tao Wu, Yun-Feng Yao, Yan-Fang Yang

Abstract read
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In one paragraph

Article in Current medical science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

17 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Exploration of Potential Antidepressant Active Ingredients ofJournal of analytical methods in chemistry · 2026
    Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Metabolites · 2023
    Article
  10. Exploring the Mechanism of Action ofComputational and mathematical methods in medicine · 2022
    Article
  11. Effects of quercetin on the alterations of serum elements in chronic unpredictable mild stress-induced depressed rats.Biometals : an international journal on the role of metal ions in biology, biochemistry, and medicine · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Network Pharmacology and Molecular Docking Analyses of Mechanisms Underlying Effects of theEvidence-based complementary and alternative medicine : eCAM · 2021
    Article
  16. Article
  17. Article
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 at 2 institutions in 1 country.

Wei-Chen XiongFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
He-Zhen WuFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Yi-Yi XiongFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Bo LiuFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Zhou-Tao XieFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Song-Tao WuFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Yun-Feng YaoFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China.
Yan-Fang YangFaculty of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China. yyf0204@hbtcm.edu.cn.
Hubei University of Chinese Medicine · CNShanghai Innovative Research Center of Traditional Chinese Medicine · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Albiziae Flos (AF) has been experimentally proven to have an antidepressant effect. However, due to the complexity of botanical ingredients, the exact pharmacological mechanism of action of AF in depression has not been completely deciphered. This study used the network pharmacology method to construct a component-target-pathway network to explore the active components and potential mechanisms of action of AF. The methods included collection and screening of chemical components, prediction of depression-associated targets of the active components, gene enrichment, and network construction and analysis. Quercetin and 4 other active components were found to exert antidepressant effects mainly via monoaminergic neurotransmitters and cAMP signaling and neuroactive ligand-receptor interaction pathways. DRD2, HTR1A, and SLC6A4 were identified as important targets of the studied bioactive components of AF. This network pharmacology analysis provides guidance for further study of the antidepressant mechanism of AF.

Indexed as

AlbizziaAntidepressive AgentsGene Regulatory NetworksHumansIsoflavonesKaempferolsLuteolinPhytochemicalsPlant ExtractsQuercetinReceptors, Dopamine D2Receptor, Serotonin, 5-HT1ASerotonin Plasma Membrane Transport ProteinsSignal Transduction3-methylquercetinAntidepressive AgentsDRD2 protein, humanformononetinHTR1A protein, humanIsoflavoneskaempferolKaempferolsLuteolinPhytochemicalsPlant ExtractsQuercetinReceptors, Dopamine D2Receptor, Serotonin, 5-HT1ASerotonin Plasma Membrane Transport ProteinsSLC6A4 protein, humanactive componentsAlbiziae Flosantidepressantnetwork pharmacologysignaling pathways

Identifiers

PMID32166674
OpenAlexW3011717653

What OpenQuestion holds

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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.