Evidence map›Paper›PMID 26739825›Full record

ArticleNeurotoxicity research2016

Pituitary Adenylate Cyclase Activating Polypeptide, A Potential Therapeutic Agent for Diabetic Retinopathy in Rats: Focus on the Vertical Information Processing Pathway.

K Szabadfi, D Reglodi, A Szabo, B Szalontai, A Valasek, Gy Setalo, P Kiss, A Tamas, M Wilhelm, R Gabriel

Abstract read
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In one paragraph

Article in Neurotoxicity research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.4field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Protective Effects of PACAP in a Rat Model of Diabetic Neuropathy.International journal of molecular sciences · 2021
    Article
  6. Review
  7. Stability Test of PACAP in Eye Drops.Journal of molecular neuroscience : MN · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Neuroprotective Peptides in Retinal Disease.Journal of clinical medicine · 2019
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Article
  17. Article
  18. Article
  19. PACAP Is Protective in a Rat Model of Retinopathy of Prematurity.Journal of molecular neuroscience : MN · 2016
    Article
  20. 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

10 authors at 1 institution in 1 country.

K SzabadfiDepartments of Experimental Zoology and Neurobiology, University of Pecs, Pecs, Hungary.
D ReglodiJanos Szentagothai Research Centre, University of Pecs, Pecs, Hungary. dora.reglodi@aok.pte.hu.
A SzaboBiochemistry and Medical Chemistry, University of Pecs, Pecs, Hungary.
B SzalontaiDepartments of Experimental Zoology and Neurobiology, University of Pecs, Pecs, Hungary.
A ValasekDepartments of Experimental Zoology and Neurobiology, University of Pecs, Pecs, Hungary.
Gy SetaloMedical Biology, University of Pecs, Pecs, Hungary.
P KissDepartment of Anatomy, MTA-PTE PACAP Lendulet Research Group, University of Pecs, Szigeti u. 12., Pecs, 7624, Hungary.
A TamasDepartment of Anatomy, MTA-PTE PACAP Lendulet Research Group, University of Pecs, Szigeti u. 12., Pecs, 7624, Hungary.
M WilhelmSport Sciences and Physical Education, University of Pecs, Pecs, Hungary.
R GabrielDepartments of Experimental Zoology and Neurobiology, University of Pecs, Pecs, Hungary.
University of Pecs · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pituitary adenylate cyclase activating polypeptide (PACAP) is a neurotrophic and neuroprotective peptide that has been shown to exert protective effects in different neuronal injuries, such as retinal degenerations. Diabetic retinopathy (DR), the most common complication of diabetes, affects the microvasculature and neuronal architecture of the retina. We have proven earlier that PACAP is also protective in a rat model of DR. In this study, streptozotocin-induced DR was treated with intravitreal PACAP administration in order to further analyze the synaptic structure and proteins of PACAP-treated diabetic retinas, primarily in the vertical information processing pathway. Streptozotocin-treated Wistar rats received intravitreal PACAP injection three times into the right eye 2 weeks after the induction of diabetes. Morphological and molecular biological (qRT-PCR; Western blot) methods were used to analyze retinal synapses (ribbons, conventional) and related structures. Electron microscopic analysis revealed that retinal pigment epithelium, the ribbon synapses and other synaptic profiles suffered alterations in diabetes. However, in PACAP-treated diabetic retinas more bipolar ribbon synapses were found intact in the inner plexiform layer than in DR animals. The ribbon synapse was marked with C-terminal binding protein 2/Bassoon and formed horseshoe-shape ribbons, which were more retained in PACAP-treated diabetic retinas than in DR rats. These results are supported by molecular biological data. The selective degeneration of related structures such as bipolar and ganglion cells could be ameliorated by PACAP treatment. In summary, intravitreal administration of PACAP may have therapeutic potential in streptozotocin-induced DR through maintaining synapse integrity in the vertical pathway.

Indexed as

AnimalsDiabetic RetinopathyMaleNeuroprotective AgentsPhotoreceptor CellsPituitary Adenylate Cyclase-Activating PolypeptideRatsRats, WistarRetinaRetinal Bipolar CellsRetinal Pigment EpitheliumStreptozocinSynapsesNeuroprotective AgentsPituitary Adenylate Cyclase-Activating PolypeptideStreptozocinBipolar cellsGanglion cellsPhotoreceptorsRetinal pigment epitheliumRibbon synapses

Identifiers

PMID26739825
OpenAlexW2224168992

What OpenQuestion holds

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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.