Evidence map›Paper›PMID 20532976›Full record

ArticleCellular and molecular neurobiology2010

cDNA microarray analysis of gene expression in the cerebral cortex and hippocampus of BALB/c mice subjected to chronic mild stress.

Yanyong Liu, Nan Yang, Pingping Zuo

Open access · greenAbstract read
In one paragraph

Article in Cellular and molecular neurobiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.5field-weighted citation impact, top 36% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. 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

3 authors at 1 institution in 1 country.

Yanyong LiuDepartment of Pharmacology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences & Peking Union Medical College (PUMC), No. 5 Dong Dan San Tiao, Beijing, China.
Nan Yang
Pingping Zuo
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depressive disorders are devastating metal illness that can lead to deterioration in the social and occupational functioning of affected individuals. The etiology and pathophysiology of depression remain unknown. Present study was performed to better understand the underlying causes of depression. An experimental animal depression was induced in male BALB/c mice subjected to a chronic mild stress (CMS) procedure involving different stressor for consecutive 4 weeks. A cDNA microarray was employed to study the effects of CMS on the gene expression in cerebral cortex and hippocampus. 4-week CMS caused a significant reduction of 2% sucrose consumption. Morris water maze procedure showed impairment in cognitive function in stressed mice. Results of microarray showed that there were 102 and 60 genes were markedly affected by CMS treatment in cerebral cortex and hippocampus regions, respectively, including DNA damage/repair-related enzymes, anti-oxidant enzyme, and cyclin and cyclin-dependent kinase (CDK). These findings suggest that multiple biochemical effects play an important role the etiology of depression.

Indexed as

Gene Expression ProfilingOligonucleotide Array Sequence AnalysisAnimalsCerebral CortexDepressionHippocampusHumansMaleMiceMice, Inbred BALB CMolecular Sequence DataNeuropsychological TestsStress, Physiological

Identifiers

PMID20532976
PMCPMC11498782
OpenAlexW2074750662

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.