Evidence map›Paper›PMID 24132797›Full record

ArticleNeuroscience bulletin2013

Antidepressant-like effects and memory enhancement of a herbal formula in mice exposed to chronic mild stress.

Xiu-Ping Sun, Si-Di Li, Zhe Shi, Teng-Fei Li, Rui-Le Pan, Qi Chang, Chuan Qin, Xin-Min Liu

Open access · bronzeAbstract read
In one paragraph

Article in Neuroscience bulletin, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.3field-weighted citation impact, top 44% 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

8 citing papers in PubMed, 27 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Xiu-Ping SunResearch Center of Pharmacology and Toxicology, Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100193, China.
Si-Di Li
Zhe Shi
Teng-Fei Li
Rui-Le Pan
Qi Chang
Chuan Qin
Xin-Min Liu
Chinese Academy of Medical Sciences & Peking Union Medical College · CNInstitute of Laboratory Animal Science · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shen Yuan Gan (SYG) is a Chinese herbal prescription composed of total saponins of Panax ginseng and total oligosaccharide esters of Polygala tenuifolia (2:1). Our previous studies have demonstrated that SYG has antidepressant-like effects in various mouse models of behavioral depression. The present study aimed to test whether SYG affected chronic mild stress (CMS)-induced depression and cognitive impairment in mice. We found that a 5-week CMS schedule induced significant degradation of the coat state, decreased sucrose intake in the sucrose-preference test, and increased the latency to feed in the noveltysuppressed feeding test. All of these CMS-induced changes were ameliorated by SYG (100 and 200 mg/kg) and fluoxetine (10 mg/kg). In addition, SYG restored the decreased monoamine neurotransmitter concentrations (serotonin, dopamine, norepinephrine and acetylcholine) induced by CMS in the prefrontal cortex. Interestingly, SYG ameliorated CMS-induced cognitive impairment in the step-through test, and increased the acetylcholine level in the prefrontal cortex. These results suggest that SYG has an antidepressant-like action and enhances cognition by modulating the serotonin, dopamine, norepinephrine, and acetylcholine levels in the prefrontal cortex.

Indexed as

PanaxPolygalaAnimalsAntidepressive AgentsDepressionDrugs, Chinese HerbalMaleMemoryMiceMice, Inbred BALB CStress, PsychologicalAntidepressive AgentsDrugs, Chinese Herbalshenyuan gan

Identifiers

PMID24132797
PMCPMC5562547
OpenAlexW2110310720

What OpenQuestion 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 OpenQuestion graph.