Evidence map›Paper›PMID 25206746›Full record

ArticleNeural regeneration research2014

Hippocampal gene expression in a rat model of depression after electroacupuncture at the Baihui and Yintang acupoints.

Dongmei Duan, Xiuyan Yang, Tu Ya, Liping Chen

Open access · goldAbstract read
In one paragraph

Article in Neural regeneration research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.3field-weighted citation impact, top 27% 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

21 citing papers in PubMed, 38 citations in OpenAlex.

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  20. The Role of Hippocampal Estradiol Receptor-Evidence-based complementary and alternative medicine : eCAM · 2016
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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

4 authors at 2 institutions in 1 country.

Dongmei DuanDepartment of Traditional Chinese Medicine of South Building, Chinese PLA General Hospital, Beijing, China.
Xiuyan YangInstitute of Health Maintenance, Beijing University of Chinese Medicine, Beijing, China.
Tu YaSchool of Acupuncture and Moxibustion, Beijing University of Chinese Medicine, Beijing, China.
Liping ChenDepartment of Traditional Chinese Medicine of South Building, Chinese PLA General Hospital, Beijing, China.
Beijing University of Chinese Medicine · CNChinese PLA General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Preliminary basic research and clinical findings have demonstrated that electroacupuncture therapy exhibits positive effects in ameliorating depression. However, most studies of the underlying mechanism are at the single gene level; there are few reports regarding the mechanism at the whole-genome level. Using a rat genomic gene-chip, we profiled hippocampal gene expression changes in rats after electroacupuncture therapy. Electroacupuncture therapy alleviated depression-related manifestations in the model rats. Using gene-chip analysis, we demonstrated that electroacupuncture at Baihui (DU20) and Yintang (EX-HN3) regulates the expression of 21 genes. Real-time PCR showed that the genes Vgf, Igf2, Tmp32, Loc500373, Hif1a, Folr1, Nmb, and Rtn were upregulated or downregulated in depression and that their expression tended to normalize after electroacupuncture therapy. These results indicate that electroacupuncture at Baihui and Yintang modulates depression by regulating the expression of particular genes.

Indexed as

acupunctureBaihui (DU20)behaviorchronic stressdepressionelectroacupuncturegene-chipgene expression profilingnerve regenerationneural regenerationNSFC granttraditional Chinese medicineYintang (EX-HN3)

Identifiers

PMID25206746
PMCPMC4146319
OpenAlexW2081602833

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.