Evidence map›Paper›PMID 34406330›Full record

ArticleInvestigative ophthalmology & visual science2021

Analysis of the Aqueous Humor Proteome in Patients With Age-Related Macular Degeneration.

Batya Rinsky, Gala Beykin, Michelle Grunin, Radgonde Amer, Samer Khateb, Liran Tiosano, Diego Almeida, Shira Hagbi-Levi, Sarah Elbaz-Hayoun, Itay Chowers

Open access · goldAbstract read
In one paragraph

Article in Investigative ophthalmology & visual science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
8.6field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Complement in brain and eye disease: shared mechanisms, convergent pathologies, and common therapeutic opportunities.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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.

Batya RinskyDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Gala BeykinDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Michelle GruninDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Radgonde AmerDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Samer KhatebDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Liran TiosanoDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Diego AlmeidaDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Shira Hagbi-LeviDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Sarah Elbaz-HayounDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Itay ChowersDepartment of Ophthalmology, Hadassah-Hebrew University Medical Center, Jerusalem, Israel.
Hadassah Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Age-related macular degeneration (AMD) is associated with altered gene and protein expression in the retina. We characterize the aqueous humor (AH) proteome in AMD to gain insight into the pathogenesis of the disease and identify potential biomarkers. Methods: AH was collected from age and gender matched neovascular AMD (nvAMD; n = 10) patients and controls (n = 10). AH was pooled to create two samples (nvAMD and control), followed by intensity-based label-free quantification (MS1). Functional and bioinformatic analysis were then performed. A validation set (20 controls, 15 atrophic AMD and 15 nvAMD) was tested via multiplex ELISA for nine differentially expressed proteins according to the MS1 findings. Results: MS1 identified 674 proteins in the AH. 239 proteins were upregulated in nvAMD (nvAMD/control > 2, peptide tags (PT) > 2), and 86 proteins were downregulated (nvAMD/control < 0.5, PT > 2). Functional analysis of proteins upregulated in AMD demonstrated enrichment for platelet degranulation (enrichment score (ES):28.1), negative regulation of endopeptidase activity (ES:18.8), cellular protein metabolic process (ES:11.8), epidermal growth factor-like domain (ES:10.3), sushi/SCR/CCP (ES:10.1), and complement/coagulation cascades (ES:9.2). AMD protein clusters were upregulated for 3/6 (χ2 < 0.05 compared to randomization). Validation via ELISA confirmed MS1 in 2/9 proteins (Clusterin and Serpin A4, P < 0.05), while 3/9 showed differential expression between aAMD and nvAMD (Clusterin, Serpin A4, and TF P < 0.05). Receiver operating characteristic curve calculation identified the area under the curve of 0.82 for clusterin as a biomarker for distinction of AMD. Conclusions: AH proteomics in AMD patients identified several proteins and functional clusters with altered expression. Further research should confirm if these proteins may serve as biomarkers or therapeutic target for the disease.

Indexed as

AgedAged, 80 and overAqueous HumorBiomarkersEnzyme-Linked Immunosorbent AssayEye ProteinsFemaleHumansMaleProteomeROC CurveVisual AcuityWet Macular DegenerationBiomarkersEye ProteinsProteome

Identifiers

PMID34406330
PMCPMC8374990
OpenAlexW2883490097

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.