Evidence map›Paper›PMID 35126596›Full record

ArticleEvidence-based complementary and alternative medicine : eCAM2021

Bioinformatics and Network Pharmacology-Based Approaches to Explore the Potential Mechanism of the Antidepressant Effect of Cyperi Rhizoma through Soothing the Liver.

Yuhe Lei, Mingquan Du, Ge Zhang, Lei Chen, Yanli Fu, Yinqin Zhong, Enxin Zhang

Open access · hybridAbstract read
In one paragraph

Article in Evidence-based complementary and alternative medicine : eCAM, 2021. 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
0.3field-weighted citation impact, top 54% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
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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

7 authors at 3 institutions in 1 country.

Yuhe LeiDepartment of Pharmacy, Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518032, Guangdong, China.ORCID https://orcid.org/0000-0002-5525-8290
Mingquan DuDepartment of Pharmacy, Futian Center for Chronic Disease Control, Shenzhen 518000, Guangdong, China.
Ge ZhangChinese Medicine Development Research Center, Guangdong Provincial Hospital of Chinese Medicine, Guangzhou 510120, Guangdong, China.
Lei ChenDepartment of Pharmacy, Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518032, Guangdong, China.
Yanli FuDepartment of Oncology, Shenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518032, Guangdong, China.
Yinqin ZhongShenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518032, Guangdong, China.ORCID https://orcid.org/0000-0002-4860-8272
Enxin ZhangShenzhen Hospital of Guangzhou University of Chinese Medicine, Shenzhen 518032, Guangdong, China.ORCID https://orcid.org/0000-0001-6597-2001
Guangzhou University of Chinese Medicine · CNDevelopment Research Center · CNShenzhen Nanshan Center for Chronic Disease Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major depressive disorder (MDD) has become the second most common disease worldwide, making it a threat to human health. Cyperi Rhizoma (CR) is a traditional herbal medicine with antidepressant properties. Traditional Chinese medicine theory states that CR relieves MDD by dispersing stagnated liver qi to soothe the liver, but the material basis and underlying mechanism have not been elucidated. In this study, we identified the active compounds and potential anti-MDD targets of CR by network pharmacology-based approaches. Through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, we hypothesized that the anti-MDD effect of CR may be mediated by an altered response of the liver to lipopolysaccharide (LPS) and glucose metabolism. Through bioinformatics analysis, comparing normal and MDD liver tissue in rats with spontaneous diabetes, we identified differentially expressed genes (DEGs) and selected PAI-1 (SERPINE1) as a target of CR in combating MDD. Molecular docking and molecular dynamics analysis also verified the binding of the active compound quercetin to PAI-1. It can be concluded that quercetin is the active compound of CR that acts against MDD by targeting PAI-1 to enhance the liver response to LPS and glucose metabolism. This study not only reveals the material basis and underlying mechanism of CR against MDD through soothing the liver but also provides evidence for PAI-1 as a potential target and quercetin as a potential agent for MDD treatment.

Identifiers

PMID35126596
PMCPMC8816580
OpenAlexW4200285659

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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.