Evidence map›Paper›PMID 24962405›Full record

ArticleJournal of veterinary science2014

Comparison of arylalkylamine N-acetyltransferase and melatonin receptor type 1B immunoreactivity between young adult and aged canine spinal cord.

Ji Hyeon Ahn, Joon Ha Park, In Hye Kim, Jae-Chul Lee, Bing Chun Yan, Min Sik Yong, Choong Hyun Lee, Jung Hoon CHoi, Ki-Yeon Yoo, In Koo Hwang and 3 more

Open access · goldAbstract readComparative Study
In one paragraph

Article in Journal of veterinary science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 91% 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

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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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

13 authors at 7 institutions in 2 countries.

Ji Hyeon AhnDepartment of Neurobiology, School of Medicine, and 5Department of Anatomy, College of Veterinary Medicine, Kangwon National University, Chuncheon 200-701, Korea.
Joon Ha Park
In Hye Kim
Jae-Chul Lee
Bing Chun Yan
Min Sik Yong
Choong Hyun Lee
Jung Hoon CHoi
Ki-Yeon Yoo
In Koo Hwang
Seung Myung Moon
Hyung-Cheul Shin
Moo-Ho Won
Kangwon National University · KRHallym University · KRDaegu University · KRDankook University · KRGangneung–Wonju National University · KRSeoul National University · KRYangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Melatonin affects diverse physiological functions through its receptor and plays an important role in the central nervous system. In the present study, we compared immunoreactivity patterns of arylalkylamine N-acetyltransferase (AANAT), an enzyme essential for melatonin synthesis, and melatonin receptor type 1B (MT2) in the spinal cord of young adult (2~3 years) and aged (10~12 years) beagle dogs using immunohistochemistry and Western blotting. AANAT-specific immunoreactivity was observed in the nuclei of spinal neurons, and was significantly increased in aged dog spinal neurons compared to young adult spinal neurons. MT2-specific immunoreactivity was found in the cytoplasm of spinal neurons, and was predominantly increased in the margin of the neuron cytoplasm in aged spinal cord compared to that in the young adult dogs. These increased levels of AANAT and MT2 immunoreactivity in aged spinal cord might be a feature of normal aging and associated with a feedback mechanism that compensates for decreased production of melatonin during aging.

Indexed as

Age FactorsAgingAnimalsArylalkylamine N-AcetyltransferaseBlotting, WesternDogsFluorescent Antibody TechniqueMaleReceptor, Melatonin, MT2Spinal CordArylalkylamine N-AcetyltransferaseReceptor, Melatonin, MT2agingbeagle dogmelatonin receptorspinal gray matterspinal neurons

Identifiers

PMID24962405
PMCPMC4178134
OpenAlexW2038365134

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.