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Record W4412856014 · doi:10.3389/fcell.2025.1601887

Keratinocyte-derived VEGF-A is an essential pro-migratory autocrine mediator, acting through the KDR/GEF-H1/RhoA pathway

2025· article· en· W4412856014 on OpenAlexafffund
Vida Maksimoska, Qinghong Dan, Neetu Rambharack, Katalin Szászi

Bibliographic record

VenueFrontiers in Cell and Developmental Biology · 2025
Typearticle
Languageen
FieldMedicine
TopicWound Healing and Treatments
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsRHOAHaCaTCell biologyKeratinocyteCell migrationCancer researchInflammationMediatorAutocrine signallingKinase insert domain receptorChemistryBiologySignal transductionVascular endothelial growth factorVascular endothelial growth factor ACellImmunologyReceptorCell cultureBiochemistry

Abstract

fetched live from OpenAlex

Introduction: Keratinocytes proliferate, migrate and differentiate to achieve skin re-epithelialization following injury. They also secrete soluble mediators to induce inflammation and orchestrate restoration of the skin barrier. However, dysregulated mediator release can cause sustained inflammation, leading to pathological healing. The small GTPase RhoA is key for cell migration, but the molecular mechanisms controlling Rho proteins in keratinocytes remain incompletely characterized. The overall objective of the current study was to explore the connection between inflammation-induced keratinocyte mediator release and enhanced migration, and to identify specific RhoA regulators involved. Methods: The study was done using HaCat cells and primary adult keratinocytes. A multiplex cytokine panel was used to simultaneously detect 48 mediators secreted from TNFα-stimulated HaCat cells. Cell migration was followed using live timelapse imaging. Target proteins were silenced using siRNA or inhibited with drugs. RhoA and GEF-H1 activation were detected using affinity precipitation assays with GST-RBD or GST-RhoA (G17A). Key proteins were visualized using immunohistochemistry in an MC903-induced mouse model of atopic dermatitis. Results: We showed that keratinocytes secreted an array of soluble factors, including VEGF-165. Secretion of VEGF-165 was augmented by TNFα through SP1, HIF1α and NFκB. TNFα or VEGF-165 potently augmented HaCaT collective migration. Depletion of VEGF-A or VEGF Receptor2 (referred to as Kinase Insert Domain Receptor, KDR) or inhibition of RhoA reduced basal migration and prevented the pro-migratory effect of TNFα. Both VEGF-165 and TNFα increased KDR phosphorylation. VEGF-165 activated GEF-H1 (ArhGEF2) through KDR and ERK1/2. VEGF-165 also promoted GEF-H1 phosphorylation on S886. GEF-H1 depletion reduced VEGF-induced RhoA activation, slowed migration, and inhibited TNFα-induced VEGF-165 release. Finally, the epidermis in a mouse atopic dermatitis model had increased active RhoA, phospho-GEF-H1 and phospho-KRD levels. Discussion: We showed that VEGF-A is a crucial paracrine factor, essential for basal and TNFα-induced keratinocyte migration. VEGF-165 activated RhoA through KDR and GEF-H1, and this pathway was upregulated in skin inflammation. Thus, GEF-H1 is critical for keratinocyte migration and VEGF-A secretion. Targeting the KDR/GEF-H1/RhoA pathway may reduce keratinocyte inflammatory responses, providing benefits in inflammatory skin disease.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.017
GPT teacher head0.281
Teacher spread0.264 · 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 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

Citations3
Published2025
Admission routes2
Has abstractyes

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