Extracellular Matrix Proteins in Epiretinal Membranes and in Diabetic Retinopathy
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Non-vascular epiretinal membranes (ERM) and neovascular membrane in proliferative diabetic retinopathy (PDR) are recognized causes of visual impairment. Both ERMs and neovascular membranes in PDR consist of cellular components and extracellular matrix (ECM) proteins such as fibronectin (FN) and collagen. Transforming growth factor-beta (TGF-beta) and endothelin-1 (ET-1) regulate ECM protein production. In this study, we investigated ECM proteins and their regulators in ERMs and vitreous from PDR subjects and non-diabetic subjects undergoing vitrectomy. METHODS: ERMs from non-diabetic subjects undergoing membrane peeling were collected. Vitreous samples from non-diabetic and PDR subjects undergoing vitrectomy were also collected and separated into solid pellets consisting of fibrovascular tissue and vitreous fluid. Real-time PCR was done for estimating mRNA levels of extracellular matrix proteins like collagen, FN, its splice variant extra-domain B containing FN (EDBFN), and their regulators, TGF-beta and ET-1. ELISA was done to detect the EDBFN level in blood and vitreous from non-diabetic and PDR subjects undergoing vitrectomy. RESULTS: ECM proteins, including FN, its splice variant EDBFN, and collagen were significantly upregulated in the ERMs and PDR compared to vitreous from both other two group. The levels were, however, higher in the ERM. ECM protein regulators like TGF-beta and ET-1 were also elevated. FN and EDBFN show significant correlation with TGF-beta in vitreous but not in ERMs. Plasma and vitreous EDBFN were elevated in the PDR subjects compared to non-diabetic subjects. CONCLUSIONS: Data from these studies show that ECM proteins such as EDBFN and collagen are upregulated in ERM and PDR, and are regulated by TGF-beta. Elevated serum EDBFN in the PDR may potentially be further explored as a possible molecular marker for the early detection of diabetic end organ damages.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it