Evidence map›Paper›PMID 25582913›Full record

ReviewFrontiers in neuroendocrinology2015

Neural mechanisms controlling seasonal reproduction: principles derived from the sheep model and its comparison with hamsters.

Peyton W Weems, Robert L Goodman, Michael N Lehman

Abstract readReview
In one paragraph

Review in Frontiers in neuroendocrinology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
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

30 citing papers in PubMed.

  1. Article
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  10. Photoperiod Induces the Epigenetic Change of theInternational journal of molecular sciences · 2023
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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

3 authors.

Peyton W WeemsProgram in Neuroscience, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39216, USA; Department of Neurobiology and Anatomical Sciences, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39232, USA.
Robert L GoodmanDepartment of Physiology & Pharmacology, West Virginia University, PO Box 6201, Morgantown, WV 26506, USA.
Michael N LehmanDepartment of Neurobiology and Anatomical Sciences, University of Mississippi Medical Center, 2500 N. State St., Jackson, MS 39232, USA. Electronic address: mlehman@umc.edu.

Funding

NEUROENDOCRINE CONTROL OF SEASONALITYR01HD017864 · NICHD · WEST VIRGINIA UNIVERSITY · PI GOODMAN, ROBERT L. · 1985 to 2013
$3.2M
NICHD NIH HHS R01 HD017864
6 · The paper itself

Abstract

Seasonal reproduction is a common adaptive strategy among mammals that allows for breeding to occur at times of the year when it is most advantageous for the subsequent survival and growth of offspring. A major mechanism responsible for seasonal reproduction is a striking increase in the responsiveness of gonadotropin-releasing hormone (GnRH) neurons to the negative feedback effects of estradiol. The neural and neuroendocrine circuitry responsible for mammalian seasonal reproduction has been primarily studied in three animal models: the sheep, and two species of hamsters. In this review, we first describe the afferent signals, neural circuitry and transmitters/peptides responsible for seasonal reproductive transitions in sheep, and then compare these mechanisms with those derived from studies in hamsters. The results suggest common principles as well as differences in the role of specific brain nuclei and neuropeptides, including that of kisspeptin cells of the hypothalamic arcuate nucleus, in regulating seasonal reproduction among mammals.

Indexed as

SeasonsAnimalsCricetinaeNeurosecretory SystemsSexual Behavior, AnimalSheepDopamineGnRHKisspeptinNeuroendocrinePhotoperiodSeasonalityThyroid hormone

Identifiers

PMID25582913
PMCPMC4405450

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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.