Evidence map›Paper›PMID 37686074›Full record

ArticleInternational journal of molecular sciences2023

Protective Effects of Pituitary Adenylate-Cyclase-Activating Polypeptide on Retinal Vasculature and Molecular Responses in a Rat Model of Moderate Glaucoma.

Evelin Patko, Edina Szabo, Alexandra Vaczy, Dorottya Molitor, Eniko Tari, Lina Li, Adrienne Csutak, Gabor Toth, Dora Reglodi, Tamas Atlasz

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

9 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. The Healthy and Diseased Retina Seen through Neuron-Glia Interactions.International journal of molecular sciences · 2024
    Review
  9. 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 2 institutions in 1 country.

Evelin PatkoDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.
Edina SzaboDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.
Alexandra VaczyDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.
Dorottya MolitorDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.
Eniko TariDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.
Lina LiDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.
Adrienne CsutakDepartment of Ophthalmology, Clinical Centre, Medical School, University of Pecs, 7632 Pecs, Hungary.ORCID 0000-0002-7821-2412
Gabor TothDepartment of Medical Chemistry, Albert Szent-Györgyi Medical School, University of Szeged, 6720 Szeged, Hungary.
Dora ReglodiDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.
Tamas AtlaszDepartment of Anatomy, ELKH-PTE PACAP Research Team, Medical School, University of Pecs, 7624 Pecs, Hungary.ORCID 0000-0002-8112-8633
University of Pecs · HUUniversity of Szeged · HU

Funding

ELKH-TKI 14016GINOP-2.3.2-15-2016 00050National Research, Development and Innovation Fund FK129190National Research, Development and Innovation Fund K135457National Research, Development and Innovation Fund of Hungary, financed under the 2020-4.1.1-TKP2020 funding scheme TKP2020-IKA-08"PEPSYS"; and Higher Education Institutional Excellence Programme of the Ministry of Human Capacities in Hungary 20765/3/2018/FEKUTSTRAT
6 · The paper itself

Abstract

Despite the high probability of glaucoma-related blindness, its cause is not fully understood and there is no efficient therapeutic strategy for neuroprotection. Vascular factors have been suggested to play an important role in glaucoma development and progression. Previously, we have proven the neuroprotective effects of pituitary adenylate-cyclase-activating polypeptide (PACAP) eye drops in an inducible, microbeads model in rats that is able to reproduce many clinically relevant features of human glaucoma. In the present study, we examined the potential protective effects of PACAP1-38 on the retinal vasculature and the molecular changes in hypoxia. Ocular hypertension was induced by injection of microbeads into the anterior chamber, while control rats received PBS. PACAP dissolved in vehicle (1 µg/drop) or vehicle treatment was started one day after the injections for four weeks three times a day. Retinal degeneration was assessed with optical coherence tomography (OCT), and vascular and molecular changes were assessed by immunofluorescence labeling. HIF1-α and VEGF-A protein levels were measured by Western blot. OCT images proved severe retinal degeneration in the glaucomatous group, while PACAP1-38 eye drops had a retinoprotective effect. Vascular parameters were deteriorated and molecular analysis suggested hypoxic conditions in glaucoma. PACAP treatment exerted a positive effect against these alterations. In summary, PACAP could prevent the severe damage to the retina and its vasculature induced by ocular hypertension in a microbeads model.

Indexed as

GlaucomaOcular HypertensionRetinal DegenerationAnimalsHypoxiaPituitary Adenylate Cyclase-Activating PolypeptideRatsRetinal VesselsPituitary Adenylate Cyclase-Activating PolypeptideglaucomaneuroprotectionPACAPretinavasculature

Identifiers

PMID37686074
PMCPMC10487862
OpenAlexW4386221296

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.