Evidence map›Paper›PMID 25983633›Full record

ArticleGenetics and molecular biology2015

Neuroprotective changes in degeneration-related gene expression in the substantia nigra following acupuncture in an MPTP mouse model of Parkinsonism: Microarray analysis.

Sujung Yeo, Keon Sang An, Yeon-Mi Hong, Yeong-Gon Choi, Bruce Rosen, Sung-Hoon Kim, Sabina Lim

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 17% 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

15 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Effect ofBiomedicines · 2026
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  6. Article
  7. Acupuncture Regulates Symptoms of Parkinson's DiseaseFrontiers in aging neuroscience · 2022
    Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Review
  13. Developing DNA methylation-based diagnostic biomarkers.Journal of genetics and genomics = Yi chuan xue bao · 2018
    Review
  14. Article
  15. 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

7 authors at 2 institutions in 2 countries.

Sujung YeoResearch Group of Pain and Neuroscience, WHO Collaborating Center for Traditional Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea . ; Department of Basic Korean Medical Science, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea .
Keon Sang AnDepartment of Basic Korean Medical Science, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea .
Yeon-Mi HongResearch Group of Pain and Neuroscience, WHO Collaborating Center for Traditional Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea . ; Department of Basic Korean Medical Science, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea .
Yeong-Gon ChoiResearch Group of Pain and Neuroscience, WHO Collaborating Center for Traditional Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea . ; Department of Basic Korean Medical Science, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea .
Bruce RosenDepartment of Basic Korean Medical Science, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea . ; Department of Radiology, Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Harvard Medical School, Boston, USA .
Sung-Hoon KimDepartment of Basic Korean Medical Science, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea .
Sabina LimResearch Group of Pain and Neuroscience, WHO Collaborating Center for Traditional Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea . ; Department of Basic Korean Medical Science, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea .
Kyung Hee University · KRKyung Hee University Medical Center · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a neurodegenerative disorder characterized by the death of dopamine-generating cells in the substantia nigra (SN). Acupuncture stimulation results in an enhanced survival of dopaminergic neurons in the SN in Parkinsonism animal models. The present study investigated changes in gene expression profiles measured using whole transcript array in the SN region related to the inhibitory effects of acupuncture in a chronic 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP) Parkinsonism model. In this model, acupuncture stimulation at GB34 and LR3 attenuated the decrease in tyrosine hydroxylase in the SN region; stimulation at non-acupoints did not suppress this decrease. Gene array analysis revealed that 22 (10 annotated genes: Cdh1, Itih2, Mpzl2, Rdh9, Serping1, Slc6a13, Slc6a20a, Slc6a4, Tph2, and Ucma) probes that were up-regulated in MPTP animals relative to controls were exclusively down-regulated by acupuncture stimulation. In addition, 17 (two annotated genes: 4921530L21Rik and Gm13931) probes that were down-regulated in MPTP animals compared to controls were exclusively up-regulated by acupuncture stimulation. These findings indicate that the 39 probes (12 annotated genes) affected by MPTP and acupuncture may be responsible for the inhibitory effects of acupuncture on degeneration-related gene expression in the SN following damage induced by MPTP intoxication.

Indexed as

acupointsdifferentially expressed genesgene arrayneurodegenerationParkinson’s disease

Identifiers

PMID25983633
PMCPMC4415566
OpenAlexW2084632524

What OpenQuestion holds

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LicenceCC BY-NC
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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.