Evidence map›Paper›PMID 25954153›Full record

ArticleFrontiers in cellular neuroscience2015

Retinal aging in the diurnal Chilean rodent (Octodon degus): histological, ultrastructural and neurochemical alterations of the vertical information processing pathway.

Krisztina Szabadfi, Cristina Estrada, Emiliano Fernandez-Villalba, Ernesto Tarragon, Gyorgy Setalo, Virginia Izura, Dora Reglodi, Andrea Tamas, Robert Gabriel, Maria Trinidad Herrero

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Diabetic retinopathy and Alzheimer's disease: Convergence of the unfolded protein response in neurodegeneration.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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  7. Ocular Health ofFrontiers in integrative neuroscience · 2021
    Article
  8. Article
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  11. Observational
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

10 authors at 3 institutions in 2 countries.

Krisztina SzabadfiDepartment of Experimental Zoology and Neurobiology, University of Pecs Pecs, Hungary ; Janos Szentagothai Research Center Pecs, Hungary.
Cristina EstradaClinical and Experimental Neuroscience (NiCE), CIBERNED and Institute of Bio-Health Research of Murcia (IMIB), School of Medicine, Campus Mare Nostrum, University of Murcia Murcia, Spain.
Emiliano Fernandez-VillalbaClinical and Experimental Neuroscience (NiCE), CIBERNED and Institute of Bio-Health Research of Murcia (IMIB), School of Medicine, Campus Mare Nostrum, University of Murcia Murcia, Spain.
Ernesto TarragonClinical and Experimental Neuroscience (NiCE), CIBERNED and Institute of Bio-Health Research of Murcia (IMIB), School of Medicine, Campus Mare Nostrum, University of Murcia Murcia, Spain.
Gyorgy SetaloDepartment of Medical Biology, University of Pecs Pecs, Hungary.
Virginia IzuraClinical and Experimental Neuroscience (NiCE), CIBERNED and Institute of Bio-Health Research of Murcia (IMIB), School of Medicine, Campus Mare Nostrum, University of Murcia Murcia, Spain.
Dora ReglodiDepartment of Anatomy, MTA-PTE "Lendulet" PACAP Research Team, University of Pecs Pecs, Hungary.
Andrea TamasDepartment of Anatomy, MTA-PTE "Lendulet" PACAP Research Team, University of Pecs Pecs, Hungary.
Robert GabrielDepartment of Experimental Zoology and Neurobiology, University of Pecs Pecs, Hungary ; Janos Szentagothai Research Center Pecs, Hungary.
Maria Trinidad HerreroClinical and Experimental Neuroscience (NiCE), CIBERNED and Institute of Bio-Health Research of Murcia (IMIB), School of Medicine, Campus Mare Nostrum, University of Murcia Murcia, Spain.
Universidad de Murcia · ESUniversity of Pecs · HUSzent János Kórház · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retina is sensitive to age-dependent degeneration. To find suitable animal models to understand and map this process has particular importance. The degu (Octodon degus) is a diurnal rodent with dichromatic color vision. Its retinal structure is similar to that in humans in many respects, therefore, it is well suited to study retinal aging. Histological, cell type-specific and ultrastructural alterations were examined in 6-, 12- and 36-months old degus. The characteristic layers of the retina were present at all ages, but slightly loosened tissue structure could be observed in 36-month-old animals both at light and electron microscopic levels. Elevated Glial fibrillary acidic protein (GFAP) expression was observed in Müller glial cells in aging retinas. The number of rod bipolar cells and the ganglion cells was reduced in the aging specimens, while that of cone bipolar cells remained unchanged. Other age-related differences were detected at ultrastructural level: alteration of the retinal pigment epithelium and degenerated photoreceptor cells were evident. Ribbon synapses were sparse and often differed in morphology from those in the young animals. These results support our hypothesis that (i) the rod pathway seems to be more sensitive than the cone pathway to age-related cell loss; (ii) structural changes in the basement membrane of pigment epithelial cells can be one of the early signs of degenerative processes; (iii) the loss of synaptic proteins especially from those of the ribbon synapses are characteristic; and (iv) the degu retina may be a suitable model for studying retinal aging.

Indexed as

agingOctodon degusretinarod bipolar cellssynaptic proteinsultrastructurevertical pathway

Identifiers

PMID25954153
PMCPMC4405622
OpenAlexW2000343867

What OpenQuestion holds

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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.