Evidence map›Paper›PMID 25221583›Full record

ArticleNeural regeneration research2014

Morphological changes of gonadotropin-releasing hormone neurons in the rat preoptic area across puberty.

Haogang Xue, Xiaodong Gai, Weiqi Sun, Chun Li, Quan Liu

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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

5 authors at 2 institutions in 1 country.

Haogang XueDepartment of Orthopedic Surgery, Affiliated Hospital of Beihua University, Changchun, Jilin Province, China.
Xiaodong GaiDepartment of Pathology, Beihua University, Changchun, Jilin Province, China.
Weiqi SunCollege of Public Health, Beihua University, Changchun, Jilin Province, China.
Chun LiDepartment of Pathology, Beihua University, Changchun, Jilin Province, China.
Quan LiuDepartment of Cardiovascular Disease, the First Hospital of Jilin University, Changchun, Jilin Province, China.
Beihua University · CNFirst Hospital of Jilin University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gonadotropin-releasing hormone (GnRH) neurons in the preoptic area may undergo morphological changes during the pubertal period when their activities are upregulated. To clarify the regulatory mechanism of puberty onset, this study aimed to investigate the morphological changes of GnRH neurons in the preoptic area of GnRH-enhanced green fluorescent protein transgenic rats. Under confocal laser microscopy, pubertal GnRH neurons exhibited an inverted Y distribution pattern. Prepubertal GnRH neurons were generally unipolar and bipolar, and were distinguished as smooth type cells with few small processes or irregular type cells with many spine-like processes in the proximal dendrites. The number of GnRH neurons in the preoptic area and spine-like processes were increased during the course of reproductive maturation. There was no significant difference between male and female rats. Immunofluorescence staining revealed synaptophysin punctae close to the distal end of GnRH neurons, indicating that some presynaptic terminals may form a synaptic linkage with these neurons.

Indexed as

bipolar neuronsgonadotropin-releasing hormoneluteinizing hormonenerve regenerationneural regenerationneuronspreoptic areapubertal periodtransgenesis

Identifiers

PMID25221583
PMCPMC4160857
OpenAlexW1996406338

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.