Evidence map›Paper›PMID 29641463›Full record

ArticleInternational journal of molecular sciences2018

iTRAQ Quantitative Proteomic Analysis of Vitreous from Patients with Retinal Detachment.

Fátima Milhano Santos, Leonor Mesquita Gaspar, Sergio Ciordia, Ana Sílvia Rocha, João Paulo Castro E Sousa, Alberto Paradela, Luís António Passarinha, Cândida Teixeira Tomaz

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Vitreous proteomics in rhegmatogenous retinal detachment and proliferative vitreoretinopathy.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2025
    Review
  3. Article
  4. Article
  5. Mass spectrometry-based retina proteomics.Mass spectrometry reviews · 2023
    Review
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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

8 authors at 2 institutions in 2 countries.

Fátima Milhano SantosCICS-UBI-Health Sciences Research Centre, University of Beira Interior, 6201-506 Covilhã, Portugal. ftxsantos@gmail.com.ORCID 0000-0002-4041-1504
Leonor Mesquita GasparCICS-UBI-Health Sciences Research Centre, University of Beira Interior, 6201-506 Covilhã, Portugal. leonormgaspar@gmail.com.
Sergio CiordiaUnidad de Proteomica, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049 Madrid, Spain. sciordia@cnb.csic.es.
Ana Sílvia RochaCICS-UBI-Health Sciences Research Centre, University of Beira Interior, 6201-506 Covilhã, Portugal. asilviarocha@gmail.com.
João Paulo Castro E SousaCICS-UBI-Health Sciences Research Centre, University of Beira Interior, 6201-506 Covilhã, Portugal. jpcastrosousa@netcabo.pt.
Alberto ParadelaUnidad de Proteomica, Centro Nacional de Biotecnología, CSIC, Calle Darwin 3, Campus de Cantoblanco, 28049 Madrid, Spain. Alberto.Paradela@cnb.csic.es.
Luís António PassarinhaCICS-UBI-Health Sciences Research Centre, University of Beira Interior, 6201-506 Covilhã, Portugal. lpassarinha@fcsaude.ubi.pt.ORCID 0000-0001-6910-7576
Cândida Teixeira TomazCICS-UBI-Health Sciences Research Centre, University of Beira Interior, 6201-506 Covilhã, Portugal. ctomaz@ubi.pt.ORCID 0000-0002-0927-2331
University of Beira Interior · PTCentro Nacional de Biotecnología · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rhegmatogenous retinal detachment (RRD) is a potentially blinding condition characterized by a physical separation between neurosensory retina and retinal pigment epithelium. Quantitative proteomics can help to understand the changes that occur at the cellular level during RRD, providing additional information about the molecular mechanisms underlying its pathogenesis. In the present study, iTRAQ labeling was combined with two-dimensional LC-ESI-MS/MS to find expression changes in the proteome of vitreous from patients with RRD when compared to control samples. A total of 150 proteins were found differentially expressed in the vitreous of patients with RRD, including 96 overexpressed and 54 underexpressed. Several overexpressed proteins, several such as glycolytic enzymes (fructose-bisphosphate aldolase A, gamma-enolase, and phosphoglycerate kinase 1), glucose transporters (GLUT-1), growth factors (metalloproteinase inhibitor 1), and serine protease inhibitors (plasminogen activator inhibitor 1) are regulated by HIF-1, which suggests that HIF-1 signaling pathway can be triggered in response to RRD. Also, the accumulation of photoreceptor proteins, including phosducin, rhodopsin, and s-arrestin, and vimentin in vitreous may indicate that photoreceptor degeneration occurs in RRD. Also, the accumulation of photoreceptor proteins, including phosducin, rhodopsin, and s-arrestin, and vimentin in vitreous may indicate that photoreceptor degeneration occurs in RRD. Nevertheless, the differentially expressed proteins found in this study suggest that different mechanisms are activated after RRD to promote the survival of retinal cells through complex cellular responses.

Indexed as

AgedArrestinEye ProteinsFemaleGlucose Transporter Type 1GlycolysisGTP-Binding Protein RegulatorsHumansIntercellular Signaling Peptides and ProteinsMaleMiddle AgedPhosphoproteinsProteomeRetinaRetinal DetachmentRhodopsinArrestinEye ProteinsGlucose Transporter Type 1GTP-Binding Protein RegulatorsIntercellular Signaling Peptides and ProteinsphosducinPhosphoproteinsProteomeRhodopsiniTRAQquantitative proteomicsretinal detachmentvitreous proteome

Identifiers

PMID29641463
PMCPMC5979392
OpenAlexW2798123808

What OpenQuestion holds

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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.