Evidence map›Paper›PMID 29559410›Full record

ArticleAmerican journal of ophthalmology2018

Angiogenic and Immunologic Proteins Identified by Deep Proteomic Profiling of Human Retinal and Choroidal Vascular Endothelial Cells: Potential Targets for New Biologic Drugs.

Justine R Smith, Larry L David, Binoy Appukuttan, Phillip A Wilmarth

Open access · bronzeAbstract read
In one paragraph

Article in American journal of ophthalmology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.5field-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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Vitreous Humor Proteomic Profile in Patients With Vitreoretinal Lymphoma.Investigative ophthalmology & visual science · 2023
    Article
  3. Review
  4. Review
  5. Mass spectrometry-based retina proteomics.Mass spectrometry reviews · 2023
    Review
  6. Human retinal endothelial cells express functional interleukin-6 receptor.Journal of ophthalmic inflammation and infection · 2023
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Global proteomic analysis of extracellular matrix in mouse and human brain highlights relevance to cerebrovascular disease.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Protein Biomarkers in Uveitis.Frontiers in immunology · 2020
    Review
  16. Review
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

4 authors at 2 institutions in 2 countries.

Justine R SmithFlinders University, Adelaide, Australia; Oregon Health & Science University, Portland, Oregon, USA. Electronic address: justine.smith@flinders.edu.au.
Larry L DavidFlinders University, Adelaide, Australia; Oregon Health & Science University, Portland, Oregon, USA.
Binoy AppukuttanFlinders University, Adelaide, Australia; Oregon Health & Science University, Portland, Oregon, USA.
Phillip A WilmarthFlinders University, Adelaide, Australia; Oregon Health & Science University, Portland, Oregon, USA.
Oregon Health & Science University · USFlinders University · AU

Funding

Proteomics CoreP30EY010572 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Kate E Keller · 1995 to 2026
$19.4M
Adhesion Molecules in UveitisR01EY019875 · NEI · OREGON HEALTH & SCIENCE UNIVERSITY · PI SMITH, JUSTINE R · 2010 to 2013
$1.2M
NEI NIH HHS P30 EY010572NEI NIH HHS R01 EY019875
6 · The paper itself

Abstract

purposeDiseases that involve retinal or choroidal vascular endothelial cells are leading causes of vision loss: age-related macular degeneration, retinal ischemic vasculopathies, and noninfectious posterior uveitis. Proteins differentially expressed by these endothelial cell populations are potential drug targets. We used deep proteomic profiling to define the molecular phenotype of human retinal and choroidal endothelial cells at the protein level.

methodsRetinal and choroidal vascular endothelial cells were separately isolated from 5 human eye pairs by selection on CD31. Total protein was extracted and digested, and peptide fractions were analyzed by reverse-phase liquid chromatography tandem mass spectrometry. Peptide sequences were assigned to fragment ion spectra, and proteins were inferred from openly accessible protein databases. Protein abundance was determined by spectral counting. Publicly available software packages were used to identify proteins that were differentially expressed between human retinal and choroidal endothelial cells, and to classify proteins that were highly abundant in each endothelial cell population.

resultsHuman retinal and/or choroidal vascular endothelial cells expressed 5042 nonredundant proteins. Setting the differential expression false discovery rate at 0.05, 498 proteins of 3454 quantifiable proteins (14.4%) with minimum mean spectral counts of 2.5 were differentially abundant in the 2 cell populations. Retinal and choroidal endothelial cells were enriched in angiogenic proteins, and retinal endothelial cells were also enriched in immunologic proteins.

conclusionsThis work describes the different protein expression profiles of human retinal and choroidal vascular endothelial cells, and provides multiple candidates for further study as novel treatments or drug targets for posterior eye diseases. NOTE: Publication of this article is sponsored by the American Ophthalmological Society.

Indexed as

Gene Expression ProfilingAdolescentAdultAngiogenic ProteinsChoroidChromatography, LiquidEndothelial CellsFemaleHumansImmunoglobulinsMaleMiddle AgedPolymerase Chain ReactionProteomicsRetinal VesselsTandem Mass SpectrometryAngiogenic ProteinsImmunoglobulins

Identifiers

PMID29559410
PMCPMC6109601
OpenAlexW2793530738

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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.