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Record W4412549771 · doi:10.1002/pgr2.70034

The Role of Decorin in the Ocular Surface: Structure, Function, and Therapeutic Potential

2025· article· en· W4412549771 on OpenAlexaff
Kartik Goel, Anil Tiwari, Shruti Rathore, Swati Sood, Veena Sangwan, Rajiv R. Mohan

Bibliographic record

VenueProteoglycan Research · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsUniversity of Manitoba
FundersNational Institutes of HealthUniversity of MissouriU.S. Department of Veterans Affairs
KeywordsDecorinMedicineChemistryExtracellular matrixProteoglycanBiochemistry

Abstract

fetched live from OpenAlex

ABSTRACT The ocular surface, comprising the cornea, conjunctiva, and sclera, relies on a complex extracellular matrix (ECM) for structural support and functional integrity. Decorin (DCN), a small leucine‐rich proteoglycan, a key ECM component involved in collagen fibrillogenesis, growth factor modulation, and cellular regulation, is essential for maintaining corneal transparency, wound healing, and preventing pathological fibrosis. DCN interacts with various target molecules, including transforming growth factor‐beta (TGF‐β), vascular endothelial growth factor (VEGF), and epidermal growth factor receptor (EGFR), influencing critical processes, such as cell proliferation, inflammation, and angiogenesis. These interactions underscore DCN's therapeutic potential in ocular disorders like corneal scarring, pterygium, and keratoconus. This review explores the structure, expression, and functions of DCN in the ocular surface, emphasizing its regulatory mechanisms and therapeutic potential. Recent advancements include gene therapy approaches, sustained release systems, and topical applications, each demonstrating significant promise in treating ocular surface diseases. Additionally, the review highlights the importance of DCN in ocular disorders, including congenital stromal corneal dystrophy (CSCD), KC, and pterygium. This review aims to elucidate the multifaceted roles of DCN, paving the way for innovative therapeutic strategies in ocular surface therapy. Future directions for DCN research involve advanced delivery mechanisms, gene editing technologies, and expanded studies on other ocular surfaces.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.280
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.319
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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