Evidence map›Paper›PMID 30814630›Full record

ArticleScientific reports2019

Differential epithelial and stromal protein profiles in cone and non-cone regions of keratoconus corneas.

Gary Hin-Fai Yam, Matthias Fuest, Lei Zhou, Yu-Chi Liu, Lu Deng, Anita Sook-Yee Chan, Hon Shing Ong, Wei-Boon Khor, Marcus Ang, Jodhbir S Mehta

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 3 pooled it
3.6field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 3 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Trial
  6. Update on the Physiopathology of Keratoconus.Medical sciences (Basel, Switzerland) · 2026
    Review
  7. Article
  8. Article
  9. Observational
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  18. Applications of artificial intelligence and bioinformatics methodologies in the analysis of ocular biofluid markers: a scoping review.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2024
    Article
  19. 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

10 authors at 3 institutions in 2 countries.

Gary Hin-Fai YamTissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore, Singapore. gary.yam@gmail.com.
Matthias FuestTissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore, Singapore.
Lei ZhouOphthalmology and Visual Science Academic Clinical Research Program, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore.
Yu-Chi LiuTissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore, Singapore.
Lu DengDepartment of Statistics and Applied Probability, National University of Singapore, Singapore, Singapore.
Anita Sook-Yee ChanTissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore, Singapore.
Hon Shing OngTissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore, Singapore.ORCID 0000-0001-5475-8712
Wei-Boon KhorSingapore National Eye Centre, Singapore, Singapore.
Marcus AngOphthalmology and Visual Science Academic Clinical Research Program, Duke-National University of Singapore Graduate Medical School, Singapore, Singapore.
Jodhbir S MehtaTissue Engineering and Stem Cell Group, Singapore Eye Research Institute, Singapore, Singapore. jodmehta@gmail.com.
National University of Singapore · SGSingapore National Eye Center · SGSingapore Eye Research Institute · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Keratoconus (KC) is an ectatic corneal disease characterized by progressive thinning and irregular astigmatism, and a leading indication for corneal transplantation. KC-associated changes have been demonstrated for the entire cornea, but the pathological thinning and mechanical weakening is usually localized. We performed quantitative proteomics using Sequential Windowed Acquisition of All Theoretical Fragment Ion Mass Spectrometry (SWATH-MS) to analyze epithelial and stromal changes between the topographically-abnormal cone and topographically-normal non-cone regions of advanced KC corneas, compared to age-matched normal corneas. Expression of 20 epithelial and 14 stromal proteins was significantly altered (≥2 or ≤0.5-fold) between cone and non-cone in all 4 KC samples. Ingenuity pathway analysis illustrated developmental and metabolic disorders for the altered epithelial proteome with mitochondrion as the significant gene ontology (GO) term. The differential stromal proteome was related to cellular assembly, tissue organization and connective tissue disorders with endoplasmic reticulum protein folding as the significant GO term. Validation of selected protein expression was performed on archived KC, non-KC and normal corneal specimens by immunohistochemistry. This is the first time to show that KC-associated proteome changes were not limited to the topographically-thinner and mechanically-weakened cone but also non-cone region with normal topography, indicating a peripheral involvement in KC development.

Indexed as

AdultCorneaCorneal StromaFemaleHumansKeratoconusMaleMass SpectrometryProteomicsRetinal Cone Photoreceptor Cells

Identifiers

PMID30814630
PMCPMC6393548
OpenAlexW2915181629

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.