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Phospholipid Growth Factors and Corneal Wound Healing

2000· review· en· W1973434456 on OpenAlexaff
Mitchell A. Watsky, May Griffith, DE‐AN WANG, Gábor Tigyi

Bibliographic record

VenueAnnals of the New York Academy of Sciences · 2000
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProteoglycans and glycosaminoglycans research
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersNational Eye InstituteNational Heart, Lung, and Blood InstituteU.S. Public Health Service
KeywordsWound healingCorneaReceptorPhospholipidChemistryCell migrationCell biologyCellBiologyMedicineOphthalmologyImmunologyBiochemistry

Abstract

fetched live from OpenAlex

In many tissue types, wound healing involves cell division and migration over and into the wound area to cover and remodel the wound. LPA and other members of the phospholipid lipid growth factor (PLGF) family stimulate many of the activities involved in wound healing. In the rabbit cornea, we have found that keratocytes from wounded corneas have a volume-activated Cl- current activated by LPA and alkenyl-LPA. This current is minimally activated by cyclic PA and SPC, and is not activated by LPA in cells from uninjured corneas. Biochemical examination of PLGFs in aqueous humor and lacrimal fluid before and after wounding identified LPA, alkenyl-GP, PA, and lyso PS, with elevated PLGF activity after wounding. In recent experiments examining human corneal cell lines and cultured cells using RT-PCR, we found mRNA for EDG receptors 1-5, with an apparent increase in EDG-3, -4, and -5 following brief SDS application to cell lines, and EDG receptors 2-5 induction in late-passage human corneal epithelial cells. This work points to a significant role for PLGFs in the corneal wound-healing process.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.003

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 head0.137
GPT teacher head0.390
Teacher spread0.252 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations36
Published2000
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of the New York Academy of SciencesSame topicProteoglycans and glycosaminoglycans researchFrench-language works237,207